Psychiatry
psychiatry
Dr. Alexander Herman
We seek a postdoc to work on an exciting federally funded project examining cognitive effort and flexibility in traumatic brain injury (TBI). This project will use a combination of transcranial alternating current stimulation and computational modeling to improve symptoms of mental fatigue after TBI. Our interdisciplinary, joint psychiatry-neurosurgery lab offers a unique opportunity to learn or improve skills in electrophysiology, non-invasive brain stimulation, neuroeconomics, and computational modeling. The ideal candidate has a background in both engineering/computer science and cognitive neuroscience or a strong willingness to learn one or the other. The position offers the opportunity to gain experience working with patients to collect data, but strong staff support exists for this already. The focus of the post-doc will be on analyzing data and writing papers. See our website at www.hermandarrowlab.com
Prof. Dr. rer. nat. Kerstin Ritter
At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PostDoc for methods development at the intersection of explainable machine learning / deep learning and clinical neuroimaging / translational psychiatry. The position will be located in the research groups of Ass. Prof. Kerstin Ritter and Prof. John-Dylan Haynes at Charité Berlin. The main task will be to predict response to cognitive-behavioral psychotherapy in retrospective data and a prospective cohort of patients with internalizing disorders including depression and anxiety from a complex, multimodal data set comprising tabular data as well as imaging data (e.g., clinical data, smartphone data, EEG, structural and functional MRI data). An additional task will be to contribute to the organization and maintenance of the prospective cohort. This study will be one of several projects in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken).
Quentin Huys
The aim of the position is to establish a thorough computational modelling framework for cognitive research in mental health settings, focusing in particular on longitudinal data, such as changes due to treatments or longitudinally with development.
Jochen Triesch
We solicit applications for a PhD position to develop machine learning techniques for personalized prediction of psychopathology. The position will be part of a large new center aiming to develop a novel dynamic network approach of mental health. This center, the 'LOEWE center DYNAMIC', brings together scientists from a range of disciplines, including psychology, psychiatry, computer science and machine learning, with a shared goal of advancing our understanding of mental disorders and developing new treatment options. The center’s research focuses on the application of dynamic network models at various levels (neurobiological, psychological and psychopathological) to mental disorder research. It brings together researchers from the Universities of Marburg, Giessen, Frankfurt and Darmstadt, as well as the Leibniz Institute for Research and Information in Education DIPF and the Ernst Strüngmann Institute for Neurosciences ESI. The respective university hospitals and the psychotherapy outpatient clinics of the psychological university institutes are also involved, facilitating the rapid transfer of research results into practice. The present opening will be associated with the Department of Computer Science at the University of Frankfurt. The objective of the project is to develop a personalized prediction model for changes in psychopathology (new depressive episodes), behavioral patterns and biological parameters. Many mental illnesses are characterized by changes in the network structure of the brain that affect observable patterns of activity or behavior in the future. Early detection and especially prediction of changes in behavioral parameters, psychopathology and biomarkers could enable targeted, personalized interventions to offer special (additional, more specific) therapies to patients with poor prognosis. The objective of this project is to develop methods for the early and reliable detection and prediction of changes in multimodal data.
Prof. Baihan Lin
📢 Join the Lin Lab at Mount Sinai! We’re Hiring Postdocs, Research Assistants, and PhD Students! The Lin Lab, also known as the Bytes of Minds Lab, is on the lookout for driven researchers passionate about Computational Psychiatry and Neuro-AI. Directed by Dr. Baihan Lin (me!) and based at the Icahn School of Medicine at Mount Sinai, New York’s largest hospital network, our lab is uniquely positioned with access to vast data resources and a strong collaborative environment. We’re pushing the boundaries of mental health technology and brain-inspired AI to create intelligent systems that can transform healthcare and deepen our understanding of the mind. Why Join Us? 🍎 Cutting-edge Research: Tackle challenges in neuro-inspired AI, computational psychiatry, brain-computer interfaces, extended realities (XR), social media, wearables, and beyond. 🍎 Interdisciplinary Impact: Work at the intersection of advanced neuroscience, machine learning, and cognitive science to create adaptive AI systems, new tools for mental health, and next-gen neurotechnology. 🍎 Top-Tier Environment: Join Mount Sinai’s dynamic research community, within New York’s largest health system with the most diverse patient populations and a leading hub for AI in healthcare (ranked #1 by Nature). Whether you're a potential postdoc, PhD student, or someone looking for an interdisciplinary research experience, if you’re passionate about bridging the gap between bytes and minds, we want to hear from you! Learn more at linlab.org and apply by emailing me at baihan.lin@mssm.edu. Bytes of Minds Lab (Lin Lab) Departments of AI, Psychiatry, and Neuroscience Hasso Plattner Institute for Digital Health, Friedman Brain Institute, Center for Computational Psychiatry
OpenNeuro FitLins GLM: An Accessible, Semi-Automated Pipeline for OpenNeuro Task fMRI Analysis
In this talk, I will discuss the OpenNeuro Fitlins GLM package and provide an illustration of the analytic workflow. OpenNeuro FitLins GLM is a semi-automated pipeline that reduces barriers to analyzing task-based fMRI data from OpenNeuro's 600+ task datasets. Created for psychology, psychiatry and cognitive neuroscience researchers without extensive computational expertise, this tool automates what is largely a manual process and compilation of in-house scripts for data retrieval, validation, quality control, statistical modeling and reporting that, in some cases, may require weeks of effort. The workflow abides by open-science practices, enhancing reproducibility and incorporates community feedback for model improvement. The pipeline integrates BIDS-compliant datasets and fMRIPrep preprocessed derivatives, and dynamically creates BIDS Statistical Model specifications (with Fitlins) to perform common mass univariate [GLM] analyses. To enhance and standardize reporting, it generates comprehensive reports which includes design matrices, statistical maps and COBIDAS-aligned reporting that is fully reproducible from the model specifications and derivatives. OpenNeuro Fitlins GLM has been tested on over 30 datasets spanning 50+ unique fMRI tasks (e.g., working memory, social processing, emotion regulation, decision-making, motor paradigms), reducing analysis times from weeks to hours when using high-performance computers, thereby enabling researchers to conduct robust single-study, meta- and mega-analyses of task fMRI data with significantly improved accessibility, standardized reporting and reproducibility.
Simulating Thought Disorder: Fine-Tuning Llama-2 for Synthetic Speech in Schizophrenia
Relating circuit dynamics to computation: robustness and dimension-specific computation in cortical dynamics
Neural dynamics represent the hard-to-interpret substrate of circuit computations. Advances in large-scale recordings have highlighted the sheer spatiotemporal complexity of circuit dynamics within and across circuits, portraying in detail the difficulty of interpreting such dynamics and relating it to computation. Indeed, even in extremely simplified experimental conditions, one observes high-dimensional temporal dynamics in the relevant circuits. This complexity can be potentially addressed by the notion that not all changes in population activity have equal meaning, i.e., a small change in the evolution of activity along a particular dimension may have a bigger effect on a given computation than a large change in another. We term such conditions dimension-specific computation. Considering motor preparatory activity in a delayed response task we utilized neural recordings performed simultaneously with optogenetic perturbations to probe circuit dynamics. First, we revealed a remarkable robustness in the detailed evolution of certain dimensions of the population activity, beyond what was thought to be the case experimentally and theoretically. Second, the robust dimension in activity space carries nearly all of the decodable behavioral information whereas other non-robust dimensions contained nearly no decodable information, as if the circuit was setup to make informative dimensions stiff, i.e., resistive to perturbations, leaving uninformative dimensions sloppy, i.e., sensitive to perturbations. Third, we show that this robustness can be achieved by a modular organization of circuitry, whereby modules whose dynamics normally evolve independently can correct each other’s dynamics when an individual module is perturbed, a common design feature in robust systems engineering. Finally, we will recent work extending this framework to understanding the neural dynamics underlying preparation of speech.
Neurosurgery & Consciousness: Bridging Science and Philosophy in the Age of AI
Overview of neurosurgery specialty interplay between neurology, psychiatry and neurosurgery. Discussion on benefits and disadvantages of classifications. Presentation of sub-specialties: trauma, oncology, functional, pediatric, vascular and spine. How does an ordinary day of a neurosurgeon look like; outpatient clinic, emergencies, pre/intra/post operative patient care. An ordinary operation. Myth-busting and practical insights of every day practice. An ordinary operation. Hint for research on clinical problems to be solved. The coming ethical frontiers of neuroprosthetics. In part two we will explore the explanatory gap and its significance. We will review the more than 200 theories of the hard problem of consciousness, from the prevailing to the unconventional. Finally, we are going to reflect on the AI advancements and the claims of LLMs becoming conscious
Beyond Homogeneity: Characterizing Brain Disorder Heterogeneity through EEG and Normative Modeling
Electroencephalography (EEG) has been thoroughly studied for decades in psychiatry research. Yet its integration into clinical practice as a diagnostic/prognostic tool remains unachieved. We hypothesize that a key reason is the underlying patient's heterogeneity, overlooked in psychiatric EEG research relying on a case-control approach. We combine HD-EEG with normative modeling to quantify this heterogeneity using two well-established and extensively investigated EEG characteristics -spectral power and functional connectivity- across a cohort of 1674 patients with attention-deficit/hyperactivity disorder, autism spectrum disorder, learning disorder, or anxiety, and 560 matched controls. Normative models showed that deviations from population norms among patients were highly heterogeneous and frequency-dependent. Deviation spatial overlap across patients did not exceed 40% and 24% for spectral and connectivity, respectively. Considering individual deviations in patients has significantly enhanced comparative analysis, and the identification of patient-specific markers has demonstrated a correlation with clinical assessments, representing a crucial step towards attaining precision psychiatry through EEG.
Applied cognitive neuroscience to improve learning and therapeutics
Advancements in cognitive neuroscience have provided profound insights into the workings of the human brain and the methods used offer opportunities to enhance performance, cognition, and mental health. Drawing upon interdisciplinary collaborations in the University of California San Diego, Human Performance Optimization Lab, this talk explores the application of cognitive neuroscience principles in three domains to improve human performance and alleviate mental health challenges. The first section will discuss studies addressing the role of vision and oculomotor function in athletic performance and the potential to train these foundational abilities to improve performance and sports outcomes. The second domain considers the use of electrophysiological measurements of the brain and heart to detect, and possibly predict, errors in manual performance, as shown in a series of studies with surgeons as they perform robot-assisted surgery. Lastly, findings from clinical trials testing personalized interventional treatments for mood disorders will be discussed in which the temporal and spatial parameters of transcranial magnetic stimulation (TMS) are individualized to test if personalization improves treatment response and can be used as predictive biomarkers to guide treatment selection. Together, these translational studies use the measurement tools and constructs of cognitive neuroscience to improve human performance and well-being.
Evolution of convulsive therapy from electroconvulsive therapy to Magnetic Seizure Therapy; Interventional Neuropsychiatry
In April, we will host Nolan Williams and Mustafa Husain. Be prepared to embark on a journey from early brain stimulation with ECT to state-of-the art TMS protocols and magnetic seizure therapy! The talks will be held on Thursday, April 25th at noon ET / 6PM CET. Nolan Williams, MD, is an associate professor of Psychiatry and Behavioral Science at Stanford University. He developed the SAINT protocol, which is the first FDA-cleared non-invasive, rapid-acting neuromodulation treatment for treatment-resistant depression. Mustafa Husain, MD, is an adjunct professor of Psychiatry and Behavioral Sciences at Duke University and a professor of Psychiatry and Neurology at UT Southwestern Medical Center, Dallas. He will tell us about “Evolution of convulsive therapy from electroconvulsive therapy to Magnetic Seizure Therapy”. As always, we will also get a glimpse at the “Person behind the science”. Please register va talks.stimulatingbrains.org to receive the (free) Zoom link, subscribe to our newsletter, or follow us on Twitter/X for further updates!
Currents of Hope: how noninvasive brain stimulation is reshaping modern psychiatric care; Adapting to diversity: Integrating variability in brain structure and function into personalized / closed-loop non-invasive brain stimulation for substance use disorders
In March we will focus on TMS and host Ghazaleh Soleimani and Colleen Hanlon. The talks will talk place on Thursday, March 28th at noon ET – please be aware that this means 5PM CET since Boston already switched to summer time! Ghazaleh Soleimani, PhD, is a postdoctoral fellow in Dr Hamed Ekhtiari’s lab at the University of Minnesota. She is also the executive director of the International Network of tES/TMS for Addiction Medicine (INTAM). She will discuss “Adapting to diversity: Integrating variability in brain structure and function into personalized / closed-loop non-invasive brain stimulation for substance use disorders”. Colleen Hanlon, PhD, currently serves as a Vice President of Medical Affairs for BrainsWay, a company specializing in medical devices for mental health, including TMS. Colleen previously worked at the Medical University of South Carolina and Wake Forest School of Medicine. She received the International Brain Stimulation Early Career Award in 2023. She will discuss “Currents of Hope: how noninvasive brain stimulation is reshaping modern psychiatric care”. As always, we will also get a glimpse at the “Person behind the science”. Please register va talks.stimulatingbrains.org to receive the (free) Zoom link, subscribe to our newsletter, or follow us on Twitter/X for further updates!
Novel approaches to non-invasive neuromodulation for neuropsychiatric disorders; Effects of deep brain stimulation on brain function in obsessive-compulsive disorder
On Thursday, February 29th, we will host Damiaan Denys and Andrada Neacsiu. The talks will be followed by a shared discussion. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!
Use of brain imaging data to improve prescriptions of psychotropic drugs - Examples of ketamine in depression and antipsychotics in schizophrenia
The use of molecular imaging, particularly PET and SPECT, has significantly transformed the treatment of schizophrenia with antipsychotic drugs since the late 1980s. It has offered insights into the links between drug target engagement, clinical effects, and side effects. A therapeutic window for receptor occupancy is established for antipsychotics, yet there is a divergence of opinions regarding the importance of blood levels, with many downplaying their significance. As a result, the role of therapeutic drug monitoring (TDM) as a personalized therapy tool is often underrated. Since molecular imaging of antipsychotics has focused almost entirely on D2-like dopamine receptors and their potential to control positive symptoms, negative symptoms and cognitive deficits are hardly or not at all investigated. Alternative methods have been introduced, i.e. to investigate the correlation between approximated receptor occupancies from blood levels and cognitive measures. Within the domain of antidepressants, and specifically regarding ketamine's efficacy in depression treatment, there is limited comprehension of the association between plasma concentrations and target engagement. The measurement of AMPA receptors in the human brain has added a new level of comprehension regarding ketamine's antidepressant effects. To ensure precise prescription of psychotropic drugs, it is vital to have a nuanced understanding of how molecular and clinical effects interact. Clinician scientists are assigned with the task of integrating these indispensable pharmacological insights into practice, thereby ensuring a rational and effective approach to the treatment of mental health disorders, signaling a new era of personalized drug therapy mechanisms that promote neuronal plasticity not only under pathological conditions, but also in the healthy aging brain.
Workplace Experiences of LGBTQIA+ Academics in Psychology, Psychiatry, and Neuroscience
In this webinar, Dr David Pagliaccio discusses the findings of his recent pre-print on workplace bias and discrimination faced by LGBTQIA+ brain scientists in the US.
Why are we consistently inconsistent? On the neural mechanisms of behavioural inconsistency
A new science of emotion: How brain-mind-body processes form functional neurological disorder
One of the most common medical conditions you’ve (maybe) never heard of – functional neurological disorder – lays at the interface of neurology and psychiatry and offers a window into fundamental brain-mind-body processes. Across ancient and modern times, functional neurological disorder has had a long and tumultuous history, with an evolving debate and understanding of how biopsychosocial factors contribute to the manifestation of the disorder. A central issue in contemporary discussions has revolved around questioning the extent to which emotions play a mechanistic and aetiological role in functional neurological disorder. Critical in this context, however, is that this ongoing debate has largely omitted the question of what emotions are in the first place. This talk first brings together advances in the understanding of working principles of the brain fundamental to introducing a new understanding of what emotions are. Building on recent theoretical frameworks from affective neuroscience, the idea of how the predictive process of emotion construction can be an integral component of the pathophysiology of functional neurological disorder is discussed.
Causal Symptom Network Mapping Based on Lesions and Brain Stimulation; Converging Evidence about a Depression Circuit Using Causal Sources of Information
It’s our pleasure to announce that we will host Shan Siddiqi and Michael D. Fox on Thursday, March 30th at noon ET / 6PM CET. Shan Siddiqi, MD, is an Assistant Professor of Psychiatry at Harvard Medical School and the director of Psychiatric Neuromodulation Research at the Brigham and Women’s Hospital. Michael D. Fox, MD, PhD, is an Associate Professor of Neurology at Harvard Medical School and the founding director of the Center for Brain Circuit Therapeutics at the Brigham and Women’s Hospital. The talks will be followed by a shared discussion. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!
Integrative Neuromodulation: from biomarker identification to optimizing neuromodulation
Why do we make decisions impulsively blinded in an emotionally rash moment? Or caught in the same repetitive suboptimal loop, avoiding fears or rushing headlong towards illusory rewards? These cognitive constructs underlying self-control and compulsive behaviours and their influence by emotion or incentives are relevant dimensionally across healthy individuals and hijacked across disorders of addiction, compulsivity and mood. My lab focuses on identifying theory-driven modifiable biomarkers focusing on these cognitive constructs with the ultimate goal to optimize and develop novel means of neuromodulation. Here I will provide a few examples of my group’s recent work to illustrate this approach. I describe a series of recent studies on intracranial physiology and acute stimulation focusing on risk taking and emotional processing. This talk highlights the subthalamic nucleus, a common target for deep brain stimulation for Parkinson’s disease and obsessive-compulsive disorder. I further describe recent translational work in non-invasive neuromodulation. Together these examples illustrate the approach of the lab highlighting modifiable biomarkers and optimizing neuromodulation.
25 years of DBS beyond movement disorders: what challenges are we facing?; Directional DBS targeting of different nuclei in the thalamus for the treatment of pain
On Thursday, 23rd of February, we will host Veerle Visser-Vandewalle and Marie Krüger. Marie Krüger, MD, is is currently leading the stereotactic surgery unit in St. Gallen but is on her move to join the team at UCL / Queensquare London. She will discuss “Directional DBS targeting of different nuclei in the thalamus for the treatment of pain”. Veerle Visser-Vandewalle, MD, PhD, is the Head of the Department of Stereotactic and Functional Neurosurgery at University Hospital of Cologne. Beside his scientific presentation on “25 years of DBS beyond movement disorders: what challenges are we facing?”, she will also give us a glimpse at the “Person behind the science”. The talks will be followed by a shared discussion. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!
Can we have jam today and jam tomorrow ?Improving outcomes for older people living with mental illness using applied and translational research
This talk will examine how approaches such as ‘big data’ and new ways of delivering clinical trials can improve current services for older people with mental illness (jam today) and identify and deliver new treatments in the future (jam tomorrow).
Affective Intelligence in Digital Psychiatry: Would Wundt Woo?
Neurosurgery for Mental Disorders: Challenging Mindsets; Combining Neuroimaging and Neurophysiology in Parkinson’s Disease
On Wednesday, October 26th, at noon ET / 6PM CET, we will host Kara Johnson, PhD, and Ludvic Zrinzo, MD PhD, for the inaugural session of our newly conceived talk series format entitled "Stimulating Brains". Kara A. Johnson, a postdoctoral fellow in Dr. Coralie de Hemptinne’s lab at the University of Florida, will present her work on “Combining imaging and neurophysiology in Parkinson’s disease”. Ludvic Zrinzo, Professor of functional neurosurgery and head of the University College London functional neurosurgery unit, will give us a glimpse at the “Person behind the science”, and give a talk on “Neurosurgery for mental disorders: challenging mindsets”. The talks will be followed by a shared discussion. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!
Linking GWAS to pharmacological treatments for psychiatric disorders
Genome-wide association studies (GWAS) have identified multiple disease-associated genetic variations across different psychiatric disorders raising the question of how these genetic variants relate to the corresponding pharmacological treatments. In this talk, I will outline our work investigating whether functional information from a range of open bioinformatics datasets such as protein interaction network (PPI), brain eQTL, and gene expression pattern across the brain can uncover the relationship between GWAS-identified genetic variation and the genes targeted by current drugs for psychiatric disorders. Focusing on four psychiatric disorders---ADHD, bipolar disorder, schizophrenia, and major depressive disorder---we assess relationships between the gene targets of drug treatments and GWAS hits and show that while incorporating information derived from functional bioinformatics data, such as the PPI network and spatial gene expression, can reveal links for bipolar disorder, the overall correspondence between treatment targets and GWAS-implicated genes in psychiatric disorders rarely exceeds null expectations. This relatively low degree of correspondence across modalities suggests that the genetic mechanisms driving the risk for psychiatric disorders may be distinct from the pathophysiological mechanisms used for targeting symptom manifestations through pharmacological treatments and that novel approaches for understanding and treating psychiatric disorders may be required.
Ebselen: a lithium-mimetic without lithium side-effects?
Development of new medications for mental health conditions is a pressing need given the high proportion of people not responding to available treatments. We hope that presenting ebselen to a wider audience will inspire further studies on this promising agent with a benign side-effects profile. Laboratory research, animal research and human studies suggest that ebselen shares many features with the mood stabilising drug lithium, creating a promise of a drug that would have a similar clinical effect but without lithium’s troublesome side-effect profile and toxicity. Both drugs have a common biological target, inositol monophosphatase, whose inhibition is thought key to lithium’s therapeutic effect. Both drugs have neuroprotective action and reduce oxidative stress. In animal studies, ebselen affected neurotransmitters involved in the development of mental health symptoms, and in particular, produced effects of serotonin function very similar to lithium. Both ebselen and lithium share behavioural effects: antidepressant-like effects in rodent models of depression and decrease in behavioural impulsivity, a property associated with lithium's anti-suicidal action. Human neuropsychological studies support an antidepressant profile for ebselen based on its positive impact on emotional processing and reward seeking. Our group currently is exploring ebselen’s effects in patients with mood disorders. A completed ‘add-on’ clinical trial in mania showed ebselen’s superiority over placebo after three weeks of treatment. Our ongoing experimental research explores ebselen’s antidepressant profile in patients with treatment resistant depression. If successful, this will lead to a clinical trial of ebselen as an antidepressant augmentation agent, similar to lithium.
Untitled Seminar
CNStalk: Using machine learning to predict mental health on the basis of brain, behaviour and environment
The ubiquity of opportunity cost: Foraging and beyond
A key insight from the foraging literature is the importance of assessing the overall environmental quality — via global reward rate or similar measures, which capture the opportunity cost of time and can guide behavioral allocation toward relatively richer options. Meanwhile, the majority of research in decision neuroscience and computational psychiatry has focused instead on how choices are guided by much more local, event-locked evaluations: of individual situations, actions, or outcomes. I review a combination of research and theoretical speculation from my lab and others that emphasizes the role of foraging's average rewards and opportunity costs in a much larger range of decision problems, including risk, time discounting, vigor, cognitive control, and deliberation. The broad range of behaviors affected by this type of evaluation gives a new theoretical perspective on the effects of stress and autonomic mobilization, and on mood and the broad range of symptoms associated with mood disorders.
Network science and network medicine: New strategies for understanding and treating the biological basis of mental ill-health
The last twenty years have witnessed extraordinarily rapid progress in basic neuroscience, including breakthrough technologies such as optogenetics, and the collection of unprecedented amounts of neuroimaging, genetic and other data relevant to neuroscience and mental health. However, the translation of this progress into improved understanding of brain function and dysfunction has been comparatively slow. As a result, the development of therapeutics for mental health has stagnated too. One central challenge has been to extract meaning from these large, complex, multivariate datasets, which requires a shift towards systems-level mathematical and computational approaches. A second challenge has been reconciling different scales of investigation, from genes and molecules to cells, circuits, tissue, whole-brain, and ultimately behaviour. In this talk I will describe several strands of work using mathematical, statistical, and bioinformatic methods to bridge these gaps. Topics will include: using artificial neural networks to link the organization of large-scale brain connectivity to cognitive function; using multivariate statistical methods to link disease-related changes in brain networks to the underlying biological processes; and using network-based approaches to move from genetic insights towards drug discovey. Finally, I will discuss how simple organisms such as C. elegans can serve to inspire, test, and validate new methods and insights in networks neuroscience.
Immunometabolic depression: ready for precision psychiatry?
Emerging Treatment Options in Psychiatry
The World Health Organization (WHO) estimates that untreated mental disorders accountfor 13% of the total global burden of disease, and by 2030, depression alone will be the leadingcause of disability around the world – outpacing heart disease, cancer, and HIV. This grim pictureis further compounded by the mental health burden delivered by the coronavirus pandemic.The lack of novel treatment options in psychiatry is restricted by a limited understanding in theneuroscience basis of mental disorders, availability of relevant biomarkers, poor predictability inanimal models, and high failure rates in psychiatric drug development. However, theannouncement in 2019 from the Federal Drug Administration (FDA) for approvals of newinterventions for treatment-resistant depression (intranasal esketamine) and postpartumdepression (i.v. brexanolone), demand critical attention. Novel public-private partnerships indrug discovery, new translational data on co-morbid biology, in particular the ascendance ofpsycho-immunology, have highlighted the arrival of a new frontier in biological psychiatryresearch for depressive disorders.
The Role of Cerebrovascular Pathology in Aging and Neurodegenerative Disease Populations
Late-life cognitive impairment and dementia are heterogeneous and multifactorial conditions driven by a combination of genetic, vascular, and lifestyle-related factors. More than 75% of patients with dementia have evidence of cerebrovascular pathology at autopsy. Cerebrovascular disease lesions can be detected on structural MRI and used as biomarkers to determine the extent of cerebrovascular pathology. These biomarkers are associated with cognitive difficulties and increase the risk of dementia for the same level of neurodegenerative pathology. Given that some of the risk factors for cerebrovascular disease are potentially modifiable, identifying the role of cerebrovascular pathology in aging and neurodegenerative disease populations opens a window for prevention of cognitive decline and dementia.
Emerging therapeutic targets for migraine
Migraine is the third most prevalent disease worldwide and is estimated to affect upwards of 14% of the population. Our lab has used novel preclinical models to identify the delta opioid receptor (DOR) as a therapeutic target for multiple headache disorders, including migraine. We have also investigated the relationship between DOR with the pro-migraine peptide, CGRP. There is regional variation between the co-expression of DOR with CGRP or its receptor in the trigeminal complex. This work indicates that DOR agonists can moderate both CGRP release and signaling, thus regulating pro-migraine effects at two different levels. Recent work in our lab has also explored how cytoarchitectural changes in pain processing regions are critical for the maintenance of the chronic migraine state. We show that there is decreased neuronal complexity in two different models of migraine, and that restoration of tubulin dynamics, directly by HDAC6 inhibitor or indirectly by CGRP receptor antagonist, can inhibit migraine-associated symptoms. These studies provide fundamental information on how cytoskeletal dynamics are altered in chronic migraine, and form the basis for the development of HDAC6 inhibitors for headache treatment.
Improving the identification of cardiometabolic risk in early psychosis
People with chronic schizophrenia die on average 10-15 years sooner than the general population, mostly due to physical comorbidity. While sociodemographic, chronic lifestyle and iatrogenic factors are important contributors to this comorbidity, a growing body of research is beginning to suggest that early signs of cardiometabolic dysfunction may be present from the onset of psychosis in some young adults, and may even be detectable before the onset of psychosis. Given that primary prevention is the best means to prevent the onset of more chronic and severe cardiometabolic phenotypes such as CVD, there is clear need to be able to identify young adults with psychosis who are most at risk of future adverse cardiometabolic outcomes, such that the most intensive interventions can be directed in an informed way to attenuate the risk or even prevent those adverse outcomes from occurring.In this talk, Ben will first outline some recent advances in our understanding of the association between cardiometabolic and schizophrenia spectrum disorders. He will then introduce the field of cardiometabolic risk prediction, and highlight how existing tools developed for older general population adults are unlikely to be suitable for young people with psychosis. Finally, he will discuss the current state of play and the future of the Psychosis Metabolic Risk Calculator (PsyMetRiC), a novel clinically useful cardiometabolic risk prediction algorithm tailored for young people with psychosis, which has been developed and externally validated using data from three psychosis early intervention services in the UK.
Nutritional psychiatry: diet and mental health over the lifecourse
Role of the gut microbiota in the development of alcohol use disorder
The gut microbiota is composed of a very large number of bacteria, viruses, fungi and yeasts that play an important role in the body, through the production of a series of metabolites (including neurotransmitters), and through an essential role in the barrier function of the gut and the regulation of immunity and stress response. In this lecture I will present, based mainly on human studies but also on preclinical studies, the evidence for a role of the gut microbiota in the development of alcohol use disorder. I will show the first results of trials to test the effects of nutritional approaches to address these deficits.
From aura to neuroinflammation: Has imaging resolved the puzzle of migraine pathophysiology?
In this talk I will present data from imaging studies that we have been conducting for the past 20 years trying to shed light on migraine physiopathology, from anatomical and functional MRI to positron emission tomography.
Neural mechanisms of altered states of consciousness under psychedelics
Interest in psychedelic compounds is growing due to their remarkable potential for understanding altered neural states and their breakthrough status to treat various psychiatric disorders. However, there are major knowledge gaps regarding how psychedelics affect the brain. The Computational Neuroscience Laboratory at the Turner Institute for Brain and Mental Health, Monash University, uses multimodal neuroimaging to test hypotheses of the brain’s functional reorganisation under psychedelics, informed by the accounts of hierarchical predictive processing, using dynamic causal modelling (DCM). DCM is a generative modelling technique which allows to infer the directed connectivity among brain regions using functional brain imaging measurements. In this webinar, Associate Professor Adeel Razi and PhD candidate Devon Stoliker will showcase a series of previous and new findings of how changes to synaptic mechanisms, under the control of serotonin receptors, across the brain hierarchy influence sensory and associative brain connectivity. Understanding these neural mechanisms of subjective and therapeutic effects of psychedelics is critical for rational development of novel treatments and for the design and success of future clinical trials. Associate Professor Adeel Razi is a NHMRC Investigator Fellow and CIFAR Azrieli Global Scholar at the Turner Institute of Brain and Mental Health, Monash University. He performs cross-disciplinary research combining engineering, physics, and machine-learning. Devon Stoliker is a PhD candidate at the Turner Institute for Brain and Mental Health, Monash University. His interest in consciousness and psychiatry has led him to investigate the neural mechanisms of classic psychedelic effects in the brain.
Behavioral phenotyping strategies for mouse models of neurodevelopmental disorders
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
How inclusive and diverse is non-invasive brain stimulation in the treatment of psychiatric disorders?
How inclusive and diverse is non-invasive brain stimulation in the treatment of psychiatric disorders?Indira Tendolkar, Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry. Mental illness is associated with a huge socioeconomic burden worldwide, with annual costs only in the Netherlands of €22 billion. Over two decades of cognitive and affective neuroscience research with modern tools of neuroimaging and neurophysiology in humans have given us a wealth of information about neural circuits underlying the main symptom domains of psychiatric disorders and their remediation. Neuromodulation entails the alteration of these neural circuits through invasive (e.g., DBS) or non-invasive (e.g., TMS) techniques with the aim of improving symptoms and/or functions and enhancing neuroplasticity. In my talk, I will focus on neuromodulation studies using repetitive transcranial magnetic stimulation (rTMS) as a relatively safe, noninvasive method, which can be performed simultaneously with neurocognitive interventions. Using the examples of two chronifying mental illnesses, namely obsessive compulsive disorders and major depressive disorder (MDD), I will review the concept of "state dependent" effects of rTMS and highlight how simultaneous or sequential cognitive interventions could help optimize rTMS therapy by providing further control of ongoing neural activity in targeted neural networks. Hardly any attention has been paid to diversity aspects in the studies. By including studies from low- and middle income countries, I will discuss the potential of non-invasive brain stimulation from a transcultural perspective.
Neural stem cells as biomarkers of cognitive aging and dementia
Adult hippocampal neurogenesis is implicated in memory formation and mood regulation. The Thuret lab investigates environmental and molecular mechanisms controlling the production of these adult-born neurons and how they impact mental health. We study neurogenesis in healthy ageing as well as in the context of diseases such as Alzheimer’s and depression. By approaching neurogenesis in health and disease, the strategy is two folds: (i) Validating the neurogenic process as a target for prevention and pharmacological interventions. (ii) Developing neurogenesis as a biomarker of disease prediction and progression. In this talk, I will focus on presenting some recent human studies demonstrating how hippocampal neural stem cells fate can be used as biomarkers of cognitive aging and dementia.
Advances in Computational Psychiatry: Understanding (cognitive) control as a network process
The human brain is a complex organ characterized by heterogeneous patterns of interconnections. Non-invasive imaging techniques now allow for these patterns to be carefully and comprehensively mapped in individual humans, paving the way for a better understanding of how wiring supports cognitive processes. While a large body of work now focuses on descriptive statistics to characterize these wiring patterns, a critical open question lies in how the organization of these networks constrains the potential repertoire of brain dynamics. In this talk, I will describe an approach for understanding how perturbations to brain dynamics propagate through complex wiring patterns, driving the brain into new states of activity. Drawing on a range of disciplinary tools – from graph theory to network control theory and optimization – I will identify control points in brain networks and characterize trajectories of brain activity states following perturbation to those points. Finally, I will describe how these computational tools and approaches can be used to better understand the brain's intrinsic control mechanisms and their alterations in psychiatric conditions.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
Neural correlates of cognitive control across the adult lifespan
Cognitive control involves the flexible allocation of mental resources during goal-directed behaviour and comprises three correlated but distinct domains—inhibition, task shifting, and working memory. Healthy ageing is characterised by reduced cognitive control. Professor Cheryl Grady and her team have been studying the influence of age differences in large-scale brain networks on the three control processes in a sample of adults from 20 to 86 years of age. In this webinar, Professor Cheryl Grady will describe three aspects of this work: 1) age-related dedifferentiation and reconfiguration of brain networks across the sub-domains 2) individual differences in the relation of task-related activity to age, structural integrity and task performance for each sub-domain 3) modulation of brain signal variability as a function of cognitive load and age during working memory. This research highlights the reduction in dynamic range of network activity that occurs with ageing and how this contributes to age differences in cognitive control. Cheryl Grady is a senior scientist at the Rotman Research Institute at Baycrest, and Professor in the departments of Psychiatry and Psychology at the University of Toronto. She held the Canada Research Chair in Neurocognitive Aging from 2005-2018 and was elected as a Fellow of the Royal Society of Canada in 2019. Her research uses MRI to determine the role of brain network connectivity in cognitive ageing.
Innate immune response in brain pathologies: Lost in translation?
Inflammation is a key component of the innate immune response. Primarily designed to remove noxious agents and limit their detrimental effects, the prolonged and/or inappropriately scaled innate immune response may be detrimental to the host and lead to a chronic disease. Indeed, there is increasing evidence suggesting that a chronic deregulation of immunity may represent one of the key elements in the pathobiology of many brain disorders. Microglia are the principal immune cells of the brain. The consensus today is that once activated microglia/macrophages can acquire a wide repertoire of profiles ranging from the classical pro-inflammatory to alternative and protective phenotypes. Recently, we described a novel ribosome-based regulatory mechanism/checkpoint that controls innate immune gene translation and microglial activation involving RNA binding protein SRSF3. Here we will discuss the implications of SRSF3 and other endogenous immune regulators in deregulation of immunity observed in different models of brain pathologies. Furthermore, we will discuss whether targeting SRSF3 and mRNA translation may open novel avenues for therapeutic modulation of immune response in the brain.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
Application of Airy beam light sheet microscopy to examine early neurodevelopmental structures in 3D hiPSC-derived human cortical spheroids
The inability to observe relevant biological processes in vivo significantly restricts human neurodevelopmental research. Advances in appropriate in vitro model systems, including patient-specific human brain organoids and human cortical spheroids (hCSs), offer a pragmatic solution to this issue. In particular, hCSs are an accessible method for generating homogenous organoids of dorsal telencephalic fate, which recapitulate key aspects of human corticogenesis, including the formation of neural rosettes—in vitro correlates of the neural tube. These neurogenic niches give rise to neural progenitors that subsequently differentiate into neurons. Studies differentiating induced pluripotent stem cells (hiPSCs) in 2D have linked atypical formation of neural rosettes with neurodevelopmental disorders such as autism spectrum conditions. Thus far, however, conventional methods of tissue preparation in this field limit the ability to image these structures in three-dimensions within intact hCS or other 3D preparations. To overcome this limitation, we have sought to optimise a methodological approach to process hCSs to maximise the utility of a novel Airy-beam light sheet microscope (ALSM) to acquire high resolution volumetric images of internal structures within hCS representative of early developmental time points.
Neurocomputational mechanisms underlying developmental psychiatric disorders
Bench to bedside: Bridging the gap in neuroscience
This panel discussion aims to generate meaningful dialogue between emerging leaders in basic and clinical neuroscience. It promises to talk about the ground realities and what acts as a hindrance in people to people connection in the field. It aims to advocate for policy change that will revolutionize the field of neuroscience, allowing neuroscientists to collaborate with clinicians wherein the new research can be made available for public use
Hallucinating mice and dopamine – towards mechanistic treatment targets for psychosis
Psychotic disorders are devastating conditions without any mechanistic treatment available. One major hurdle in the biological study of psychosis is the challenge of rigorously probing this condition in pre-clinical animal models. The goal of our research is to develop and exploit innovative frameworks for the study of psychosis in mice. In our present work, where we developed a cross-species computational psychiatry approach to probe hallucination-like perception. This enabled us to directly relate human and mouse behavior, and to demonstrate and dissect the causal role of striatal dopamine in hallucination-like perception. Our results suggest a neural circuit mechanism for the long-standing dopamine hypothesis of psychosis, and provide a new translational framework for the biological study of psychosis. This opens up exciting possibilities for advancing the biological understanding of psychosis and to identify mechanistic treatment targets.
British Neuroscience Association (BNA) Festival - 2021
In April 2021, in partnership with the UK Dementia Research Institute, the British Neuroscience Association will host its fifth Festival of Neuroscience. Due to the ongoing uncertainty around COVID19, our 2021 event will be the first ever online Festival of Neuroscience. Although we are sorry to miss meeting in person, we're excited to create a whole new Festival experience! The ambition and scope of the BNA Festivals make them unparalleled across neuroscience. Being online will not change how the BNA2021 event will: - bring together multiple organisations with an interest in brain research at a single, shared event, creating a novel, multi-organisation forum featuring all areas of fundamental research in neuroscience and psychology, from both academia and the commercial sector, plus clinical expertise in neurology and psychiatry. - include a programme of public events as well. Past Festivals have seen a rap performance about consciousness, lunchtime talks, sessions in schools, and much more.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
Peril, Prudence and Planning as Risk, Avoidance and Worry
Risk occupies a central role in both the theory and practice of decision-making. Although it is deeply implicated in many conditions involving dysfunctional behavior and thought, modern theoretical approaches to understanding and mitigating risk in either one-shot or sequential settings, which are derived largely from finance and economics, have yet to permeate fully the fields of neural reinforcement learning and computational psychiatry. I will discuss the use of dynamic and static versions of one prominent approach, namely conditional value-at-risk, to examine both the nature of risk avoidant choices, encompassing such things as justified gambler's fallacies, and the optimal planning that can lead to consideration of such choices, with implications for offline, ruminative, thinking.
Mapping the brain’s remaining terra incognita
In this webinar, Dr Ye Tian and A/Prof Andrew Zalesky will present new research on mapping the functional architecture of the human subcortex. They used 3T and 7T functional MRI from more than 1000 people to map one of the most detailed functional atlases of the human subcortex to date. Comprising four hierarchical scales, the new atlas reveals the complex topographic organisation of the subcortex, which dynamically adapts to changing cognitive demands. The atlas enables whole-brain mapping of connectomes and has been used to optimise targeting of deep brain stimulation. This joint work with Professors Michael Breakspear and Daniel Margulies was recently published in Nature Neuroscience. In the second part of the webinar, Dr Ye Tian will present her current research on the biological ageing of different body systems, including the human brain, in health and degenerative conditions. Conducted in more than 30,000 individuals, this research reveals associations between the biological ageing of different body systems. She will show the impact of lifestyle factors on ageing and how advanced ageing can predict the risk of mortality. Associate Professor Andrew Zalesky is a Principal Researcher with a joint appointment between the Faculties of Engineering and Medicine at The University of Melbourne. He currently holds a NHMRC Senior Research Fellowship and serves as Associate Editor for Brain Topography, Neuroimage Clinical and Network Neuroscience. Dr Zalesky is recognised for the novel tools that he has developed to analyse brain networks and their application to the study of neuropsychiatric disorders. Dr Ye Tian is a postdoctoral researcher at the Department of Psychiatry, University of Melbourne. She received her PhD from the University of Melbourne in 2020, during which she established the Melbourne Subcortex Atlas. Dr Tian is interested in understanding brain organisation and using brain imaging techniques to unveil neuropathology underpinning neuropsychiatric disorders.
Cortical and subcortical grey matter micro-structure is associated with polygenic risk for schizophrenia
Background: Recent discovery of hundreds of common gene variants associated with schizophrenia has enabled polygenic risk scores (PRS) to be measured in the population. It is hypothesized that normal variation in genetic risk of schizophrenia should be associated with MRI changes in brain morphometry and tissue composition. Methods: We used the largest extant genome-wide association dataset (N = 69,369 cases and N = 236,642 healthy controls) to measure PRS for schizophrenia in a large sample of adults from the UK Biobank (Nmax = 29,878) who had multiple micro- and macro-structural MRI metrics measured at each of 180 cortical areas and seven subcortical structures. Linear mixed effect models were used to investigate associations between schizophrenia PRS and brain structure at global and regional scales, controlled for multiple comparisons. Results: Micro-structural phenotypes were more robustly associated with schizophrenia PRS than macro-structural phenotypes. Polygenic risk was significantly associated with reduced neurite density index (NDI) at global brain scale, at 149 cortical regions, and five subcortical structures. Other micro-structural parameters, e.g., fractional anisotropy, that were correlated with NDI were also significantly associated with schizophrenia PRS. Genetic effects on multiple MRI phenotypes were co-located in temporal, cingulate and prefrontal cortical areas, insula, and hippocampus. (Preprint: https://www.medrxiv.org/content/10.1101/2021.02.06.21251073v1)
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
Associations between brain interoceptive network dysconnectivity and heightened peripheral inflammation in depression
Are the immune system, brain, mind and mood related? Could this explain why chronic low-grade peripheral inflammation is also noted in approximately 1/3 of those with major depressive disorder (MDD)? The field recognized today as immunopsychiatry was founded on scientific evidence that germinated over 30 years ago. Since, it has been understood that (i) there could be a causal link between inflammation and depression, (ii) select blood immune markers show robust potential as biomarkers for inflammation-linked depression, and more generally, (iii) Descartes' theories on mind-body dualism were biologically erroneous. Nonetheless, the mechanistic brain-immune axis in the trinity formulating inflammation-linked depression i.e. psycho-neuro-immunology, still remains unclear. This talk will discuss findings from our recent investigation endeavored to unpack this by linking functional connectivity abnormalities with peripheral immune markers.
Towards better interoceptive biomarkers in computational psychiatry
Empirical evidence and theoretical models both increasingly emphasize the importance of interoceptive processing in mental health. Indeed, many mood and psychiatric disorders involve disturbed feelings and/or beliefs about the visceral body. However, current methods to measure interoceptive ability are limited in a number of ways, restricting the utility and interpretation of interoceptive biomarkers in psychiatry. I will present some newly developed measures and models which aim to improve our understanding of disordered brain-body interaction in psychiatric illnesses.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
Reward processing in psychosis: adding meanings to the findings
Much of our daily behavior is driven by rewards. The ability to learn to pursue rewarding experiences is, in fact, an essential metric of mental health. Conversely, reduced capacity to engage in adaptive goal-oriented behavior is the hallmark of apathy, and present in the psychotic disorder. The search for its underlying mechanisms has resulted in findings of profound impairments in learning from rewards and the associated blunted activation in key reward areas of the brain of patients with psychosis. An emerging research field has been relying on digital phenotyping tools and ecological momentary assessments (EMA) that map patients’ current mood, behavior and context in the flow of their daily lives. Using these tools, we have started to see a different picture of apathy, one that is exquisitely driven by the environment. For one, reward sensitivity appears to be blunted by stressors, and exposure to undue chronic stress in the daily life may result in apathy in those predisposed to psychosis. Secondly, even patients with psychosis who exhibit clinically elevated levels of apathy are perfectly capable of seeking out and enjoying social interactions in their daily life, if their environment allows them to do so. The use of digital phenotyping tools in combination with neuroimaging of apathy not only allows us to add meanings to the neurobiological findings, but could also help design rational interventions.
In-Love with Addiction Neuroscience
In this talk series, addiction neuroscientists from across the world share their personal stories/experiences on the beauty of addiction neuroscience and how/why they have decided to invest their scientific life in this field. We hope that this talk series would encourage and support a new generation of young and passionate addiction neuroscientists in different countries to revolutionize the field of addiction medicine.
The early impact of COVID-19 on mental health and community physical health services and their patients’ mortality in Cambridgeshire and Peterborough, UK
COVID -19 has affected social interaction and healthcare worldwide. This talk will focus on the impact of the pandemic and “lockdown” on mental health services, community physical health services, and patient mortality in Cambridgeshire and Peterborough, based on the analysis of de-identified data from the primary NHS provider of secondary care mental health services to this population (~0.86 million)
Deciphering circuits controlling psychiatry-associated behaviors
FENS Forum 2024