Topic: MRI

Structured three-year PhD programme of the International Max Planck Research School on Cognitive NeuroImaging, run by the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig with Leipzig University, TUD Dresden University of Technology and University College London. Projects sit in three modules: Cognitive Neuroscience, Clinical and Translational Neuroscience, and Development of Neuroimaging and Modelling Methods, with more than 20 recruiting faculty. Facilities include a 9.4T small-bore, a 7T and four 3T MRI scanners (one a Connectom scanner with ultra-strong gradients), a

Build a three-dimensional understanding of human brain structure through focused lectures, filmed dissections and live expert commentary. The programme follows cortical landmarks and the limbic lobe into subcortical white matter, ventricles, hippocampus, fornix, basal ganglia and thalamus, with further exploration of the brainstem and cerebellum. Traditional blunt dissection reveals major pathways, while axial, sagittal and coronal MRI comparisons connect anatomy to imaging. Consolidation and self-assessment sessions help participants test their recognition of structures. Live online via Zoom

The Brain Image Analysis Unit at the RIKEN Center for Brain Science seeks a postdoctoral researcher to develop deep-learning methods for large-scale microscopy and MRI of the marmoset brain within Brain/MINDS 2.0. The programme combines two-photon and bright-field microscopy, spatial transcriptomics, anterograde tracing and diffusion MRI into a whole-brain multimodal atlas. Research topics include neuron and axon tracing in dense 3D data, generative models for synthetic tracing ground truth, images exceeding GPU memory, cross-modal image registration, biomedical foundation models, and diffusio

Investigate how sleep shapes human perception and cognition using MRI and EEG. The appointment includes development of methods for three-tesla and seven-tesla MRI and multimodal studies of the sleeping brain.

Jason Lerch presents a translational neuroimaging analysis spanning mouse models and human MRI cohorts to identify biologically informed subgroups across autism and related neurodevelopmental conditions.

The Open Source Imaging Initiative has recently released a fully open source low field MRI scanner called the OSI2ONE. We are currently building this system at the Universidad Paraguayo Alemana in Asuncion, Paraguay for a neuroimaging project at a clinic in Bolivia. I will discuss the process of construction, important considerations before you build, and future work planned with this device.

Identifying a structural brain lesion on MRI is the most important factor that correlates with seizure freedom after surgery in patients suffering from drug-resistant focal epilepsy. By providing better image contrast and higher spatial resolution, structural MRI at 7 Tesla (7T) can lead to lesion detection in about 25% of patients presenting with negative MRI at lower fields. In addition to a better detection/delineation/phenotyping of epileptogenic lesions, higher signal at ultra-high field also facilitates more detailed analyses of several functional and molecular alterations of tissues, su

Epilepsy surgery is a safe but underutilised treatment for drug-resistant focal epilepsy. One challenge in the presurgical evaluation of patients with drug-resistant epilepsy are patients considered “MRI negative”, i.e. where a structural brain abnormality has not been identified on MRI. A major pathology in “MRI negative” patients is focal cortical dysplasia (FCD), where lesions are often small or subtle and easily missed by visual inspection. In recent years, there has been an explosion in artificial intelligence (AI) research in the field of healthcare. Automated FCD detection is an area wh

The peripheral airways are technically challenging to assess and have been overlooked in the assessment of chronic respiratory diseases such as Asthma, in both the clinical and research space. Evidence of the importance of the small airways in Asthma is building, and small airways dysfunction is implicated in poor Asthma control, airway hyperresponsiveness, and exacerbation risk. The aim of this research was to complete comprehensive global, regional, and spatial assessments of airway function and ventilation in Asthma using physiological and MRI techniques. Specific ventilation imaging (SVI)

Human behavior is known to be idiosyncratic, yet research in neuroscience typically assumes a universal brain-behavior relationship. Here we test this assumption by estimating the level of idiosyncrasy by compare two different aspects of brain function: task- and behavior-based activation. Human subjects (N=50) perform a perceptual task with confidence inside an MRI scanner. For each subject, task-based activation strength is estimated from blocks of 8 trials. We first show that task-based activation maps are both stable within an individual (r = 0.99) and similar across people (r = 0.59). Beh

Neurodegenerative diseases are chronic and inexorable conditions characterised by the presence of insoluble aggregates of abnormally ubiquinated and phosphorylated proteins. Recent evidence also suggests that protein misfolding can propagate throughout the body in a prion-like fashion via the interstitial or cerebrospinal fluids (CSF). As protein aggregation occurs well before the onset of brain damage and symptoms, new biomarkers sensitive to early pathology, together with therapeutic strategies that include eliminating seed proteins and blocking cell-to-cell spread, are of vital importance.

WEBINAR 1 Breaking the barrier: Using focused ultrasound for the development of targeted therapies for brain tumours presented by Dr Ekaterina (Caty) Salimova, Monash Biomedical Imaging Glioblastoma multiforme (GBM) - brain cancer - is aggressive and difficult to treat as systemic therapies are hindered by the blood-brain barrier (BBB). Focused ultrasound (FUS) - a non-invasive technique that can induce targeted temporary disruption of the BBB – is a promising tool to improve GBM treatments. In this webinar, Dr Ekaterina Salimova will discuss the MRI-guided FUS modality at MBI and her research

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight. Here, we built an interactive resource to benchmark brain morphology, www.brainchart.io, derived from any current or future sample of magnetic resonance imaging (MRI) data. With the goal of basing these reference charts on the largest and most inclusive dataset available,

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.

Von Economo stated that an "Ideal Cortical Map" would look very different to a parcellation. He suggested that an Ideal Cortical Map would involve the superimposition of many different cortical maps, with changes in each map shown at every single point. In line with this idea, I will discuss our recent research on identifying principal dimensions of cortical differentiation. In particular, I will highlight large-scale patterns of cytoarchitectural differentiation that can be observed using post mortem histology or in vivo microstructure-sensitive MRI. I aim to show how this approach provides a

Magnetic Particle Imaging (MPI) is a new non-invasive imaging technique with significantly increased sensitivity over MRI and faster acquisition times than PET and MRI. The MPI capability at the Alfred Research Alliance - Monash Biomedical Imaging site in Melbourne, Australia, is the world’s first MPI system with Computed Tomography (CT) and Hyperthermia capabilities. It provides unique capabilities that open the door to cutting-edge opportunities for interdisciplinary projects in medical research, chemistry and biotechnology. The webinar will involve: * official launch of Magnetic Particle

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

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 P

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

1. Embedding is all you need: A machine learning way to analyse white matter tractography streamlines - Dr Shenjun Zhong, Monash Biomedical Imaging Embedding white matter streamlines with various lengths into fixed-length latent vectors enables users to analyse them with general data mining techniques. However, finding a good embedding schema is still a challenging task as the existing methods based on spatial coordinates rely on manually engineered features, and/or labelled dataset. In this webinar, Dr Shenjun Zhong will discuss his novel deep learning model that identifies latent space and s

The corpus callosum is the largest fibre tract in the brain of placental mammals and connects the two cerebral hemispheres. Corpus callosum dysgenesis is a developmental brain disorder that is commonly genetic and occurs in approximately 1:4000 live births. It is easily diagnosed by MRI or prenatal ultrasound and is found in isolation or together with other brain anomalies, or with other organ system defects in a large number of different congenital syndromes. Callosal dysgenesis is a structural brain wiring disorder that can impact brain function and cognition in heterogeneous ways. We aim to

Advances in MRI imaging techniques such as diffusion tensor imaging and functional magnetic resonance imaging (fMRI) make it possible to noninvasively measure the structure of cerebral white matter fibers and neural activity in the brain. Clinical application of these techniques is expected for early diagnosis of Parkinson's disease and evaluation of pathophysiology and treatment efficacy. In this study, we used MRI to examine changes in functional connectivity in [JAG1] mice in which 6-hydroxydopamine (6-OHDA) was unilaterally injected into the medial forebrain bundle of the mouse and which d

Functional Ultrasound imaging (fUS) has recently demonstrated the feasibility of assessing functional connectivity (fC) in neonates at bedside1, facilitating brain monitoring in this vulnerable population. Here, we validate fUS in a larger cohort of preterm neonates to investigate fC in a music exposure paradigm for which MRI studies have shown improved structural and functional maturation2,3. Our study involved n=21 preterm neonates (27.6±2.2 gestational week (GW)) born at Geneva University Hospitals : a control group with standard care (n=10) and a second group repeatedly exposed (2 to 3 tim

Attentional preference for social stimuli, such as different facial expressions, is an important part of the development of humans' behavioral and emotional health. Infants demonstrate a predilection for faces and tend to sustain visual attention over non-social stimuli immediately after birth and throughout infancy. Infants begin to identify facial expressions and emotions around the age of 6 to 8 months. Studies have shown that the amygdala plays an important role in infants' attentional bias towards faces and fear processing. The goal of this study was to examine how infants’ amygdala mean