Neuroscience seminars

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 cohesive framework to understand cortical organisation across multiple biological scales. This allows us to formulate new ideas on the organisation and function of the brain regions (eg: mesiotemporal lobe), networks (eg: DMN) and the whole cortex.

As Socrates said that "I know that I know nothing," our mind's function to be aware of our ignorance is essential for abstract and conceptual reasoning. However, the biological mechanism to enable such a hierarchical thought, or meta-cognition, remained unknown. In the first part of the talk, I will demonstrate our studies on the neural mechanism for metacognition on memory in macaque monkeys. In reality, awareness of ignorance is essential not only for the retrospection of the past but also for the exploration of novel unfamiliar environments for the future. However, this proactive feature of metacognition has been understated in neuroscience. In the second part of the talk, I will demonstrate our studies on the neural mechanism for prospective metacognitive matching among uncertain options prior to perceptual decision making in humans and monkeys. These studies converge to suggest that higher-order processes to self-evaluate mental state either retrospectively or prospectively are implemented in the primate neural networks.

Cluster headache is a brain disorder dominated clinically by dreadful episodes of excruciating pain with a circadian pattern and most often focused in bouts with circannual periodicity. As we have understood its neurobiology new therapies, including those directed at calcitonin gene-related peptide, are helpful improve the lives of sufferers.

PiVR is a system that allows experimenters to immerse small animals into virtual realities. The system tracks the position of the animal and presents light stimulation according to predefined rules, thus creating a virtual landscape in which the animal can behave. By using optogenetics, we have used PiVR to present fruit fly larvae with virtual olfactory realities, adult fruit flies with a virtual gustatory reality and zebrafish larvae with a virtual light gradient. PiVR operates at high temporal resolution (70Hz) with low latencies (<30 milliseconds) while being affordable (<US$500) and easy to build (<6 hours). Through extensive documentation (www.PiVR.org), this tool was designed to be accessible to a wide public, from high school students to professional researchers studying systems neuroscience in academia.

A major neuroscientific challenge is to identify the neural mechanisms that support consciousness. Though experimental studies have accumulated evidence about the location of the neural substrate of consciousness, we still lack a full understanding of why certain brain areas, but not others, can support consciousness. In this talk, I will give an overview of our approach, taking advantage of the theoretical framework provided by Integrated Information Theory (IIT). First, I will introduce results showing that a maximum of integrated information within the human brain matches our best evidence concerning the location of the NSC, supporting the IIT’s prediction. Furthermore, I will discuss the possibility that the NSC can change its location and even split into two depending on the task demand. Finally, based on some graph-theoretical analyses, I will argue that the ability of different brain regions to contribute or not to consciousness depends on specific properties of their anatomical connectivity, which determines their ability to support high integrated information.

The ALBA Network is organizing a webinar on LGBTQIA+ inclusion and visibility. This special event will feature a panel of established scientists in brain research who identify as LGBTQIA+. Speaker will discuss their goals, challenges and successes while navigating academia as part of the LGBTQIA+ community. Registration is free but mandatory.

The inhibitory actions of the heterogeneous collection of GABAergic interneurons tremendously influence cortical information processing, which is reflected by diseases like autism, epilepsy and schizophrenia that involve defects in cortical inhibition. Apart from the regulation of physiological processes like synaptic transmission, proper interneuron function also relies on their correct development. Hence, decrypting regulatory networks that direct proper cortical interneuron development as well as adult functionality is of great interest, as this helps to identify critical events implicated in the etiology of the aforementioned diseases. Thereby, extrinsic factors modulate these processes and act on cell- and stage-specific transcriptional programs. Herein, epigenetic mechanisms of gene regulation, like DNA methylation executed by DNA methyltransferases (DNMTs), histone modifications and non-coding RNAs, call increasing attention in integrating “environmental information” in our genome and sculpting physiological processes in the brain relevant for human mental health. Several studies associate altered expression levels and function of the DNA methyltransferase 1 (DNMT1) in subsets of embryonic and adult cortical interneurons in patients diagnosed with schizophrenia. Although accumulating evidence supports the relevance of epigenetic signatures for instructing cell type-specific development, only very little is known about their functional implications in discrete developmental processes and in subtype-specific maturation of cortical interneurons. Similarly, little is known about the role of DNMT1 in regulating adult interneurons functionality. This talk will provide an overview about newly identified and roles DNMT1 has in orchestrating cortical interneuron development and adult function. Further, this talk will report about the implications of lncRNAs in mediating site-specific DNA methylation in response to discrete external stimuli.

In this talk, Dr. Quandt will share results from behavioral and cognitive neuroscience studies from the past few years of her work in the Action & Brain Lab, an EEG lab at Gallaudet University, the world's premiere university for deaf and hard-of-hearing students. These results will center upon the question of how extensive knowledge of signed language changes, and in some cases enhances, people's perception and cognition. Evidence for this effect comes from studies of human biological motion using point light displays, self-report, and studies of action perception. Dr. Quandt will also discuss some of the lab's efforts in designing and testing a virtual reality environment in which users can learn American Sign Language from signing avatars (virtual humans).

Pathogenic variants in HCN1 are associated with severe developmental and epileptic encephalopathies (DEE). We have engineered the Hcn1 M294L heterozygous knock-in (Hcn1M294L) mouse which is a homolog of the de novo HCN1 M305L recurrent pathogenic variant. The mouse recapitulates the phenotypic features of patients including having spontaneous seizures and a learning deficit. In this talk I will present experimental work that probes the molecular and cellular mechanisms underlying hyper-excitability in the mouse model. This will include testing the efficacy of currently available antiepileptic drugs and a novel precision medicine approach. I will also briefly touch on how disease biology can give insights into the biophysical properties of HCN channels.

Tracking heading within an environment is a fundamental requirement for flexible, goal-directed navigation. In insects, a head-direction representation that guides the animal’s movements is maintained in a conserved brain region called the central complex. Two-photon calcium imaging of genetically targeted neural populations in the central complex of tethered fruit flies behaving in virtual reality (VR) environments has shown that the head-direction representation is updated based on self-motion cues and external sensory information, such as visual features and wind direction. Thus far, the head direction representation has mainly been studied in VR settings that only give flies control of the angular rotation of simple sensory cues. How the fly’s head direction circuitry enables the animal to navigate in dynamic, immersive and naturalistic environments is largely unexplored. I have developed a novel setup that permits imaging in complex VR environments that also accommodate flies’ translational movements. I have previously demonstrated that flies perform visually-guided navigation in such an immersive VR setting, and also that they learn to associate aversive optogenetically-generated heat stimuli with specific visual landmarks. A stable head direction representation is likely necessary to support such behaviors, but the underlying neural mechanisms are unclear. Based on a connectomic analysis of the central complex, I identified likely circuit mechanisms for prioritizing and combining different sensory cues to generate a stable head direction representation in complex, multimodal environments. I am now testing these predictions using calcium imaging in genetically targeted cell types in flies performing 2D navigation in immersive VR.

We will highlight recent technological and methodological advances in deploying miniaturized technologies that can monitor the spatial electrophysiologic patterns of the visceral nervous system. As an example, we will discuss recent developments of thin, stretchable, wireless biosensor patches that can be embedded within routinely used medical adhesives for recording electrophysiologic patterns of the GI tract. We will also showcase recent developments in array signal processing that enable non-invasive tracking, and source localization, of the slow wave patterns associated with the GI tract. We will illustrate how such systems can also be used in tandem with novel miniaturized pacing devices to can enable closed-loop neuromodulation of the enteric nervous system. We will conclude with a summary of the knowns and unknowns in how multi-organ physiology research, technology miniaturization, and data science may create unique opportunities for the intersection of electrical engineering and neuroscience.

Join us for a comprehensive introduction to multielectrode recording technologies for in vivo neurophysiology. Whether you are new to the field or have experience with one type of technology, this webinar will provide you with information about a variety of technologies, with a main focus on Neuropixels probes. Dr Kris Schoepfer, US Product Specialist at Scientifica, will provide an overview of multielectrode technologies available to record from one or more brain areas simultaneously, including: DIY multielectrode probes; Tetrodes / Hyperdrives; Silicon probes; Neuropixels. Dr Sylvia Schröder, University of Sussex, will delve deeper into the advantages of Neuropixels, highlighting the value of channel depth and the types of new biological insights that can be explored thanks to the advancements this technology brings. Presenting exciting data from the optic tract and superior colliculus, Sylvia will also discuss how Neuropixels recordings can be combined with optogenetics, and how histology can be used to identify the location of probes.

Parkinson's disease (PD) is the second most common neurodegenerative disorder, affecting 1% of over 65's; there is currently no effective treatment. Dopaminergic neuronal loss is hallmark in PD and yet despite decades of intensive research there is still no known therapeutic which will completely halt the disorder. As a result, identification of interventive therapies to reverse or prevent PD are essential. Using genetically faithful models (induced pluripotent stem cells and knock-in mice) of familial late onset PD (LRRK2 G2019S and GBA N370S) we have contributed to the literature that neuronal dysfunction precedes degeneration. Specifically, using whole cell patch clamp electrophysiology, biochemical, behavioural and molecular biological techniques, we have begun to investigate the fundamental processes that make neurons specialised i.e., synaptic function and neurotransmission. We illustrate those alterations to spontaneous neurotransmitter release, neuronal firing, and short-term plasticity as well as Ca2+ and energy dyshomeostasis, are some of the earliest observable pathological dysfunctions and are likely precursors to late-stage degeneration. These pathologies represent targets which can be manipulated to address causation, rather than the symptoms of the PD, and represent a marker that, if measurable in patients, could form the basis of early PD detection and intervention.

Not all individuals are equally competent at recognizing the faces they interact with. Revealing how the brains of different individuals support variations in this ability is a crucial step to develop an understanding of real-world human visual behaviour. In this talk, I will present findings from a large high-density EEG dataset (>100k trials of participants processing various stimulus categories) and computational approaches which aimed to characterise the brain representations behind real-world proficiency of “super-recognizers”—individuals at the top of face recognition ability spectrum. Using decoding analysis of time-resolved EEG patterns, we predicted with high precision the trial-by-trial activity of super-recognizers participants, and showed that evidence for face recognition ability variations is disseminated along early, intermediate and late brain processing steps. Computational modeling of the underlying brain activity uncovered two representational signatures supporting higher face recognition ability—i) mid-level visual & ii) semantic computations. Both components were dissociable in brain processing-time (the first around the N170, the last around the P600) and levels of computations (the first emerging from mid-level layers of visual Convolutional Neural Networks, the last from a semantic model characterising sentence descriptions of images). I will conclude by presenting ongoing analyses from a well-known case of acquired prosopagnosia (PS) using similar computational modeling of high-density EEG activity.

Cerebral infection by the larvae of the cestode, Taenia solium (neurocysticercosis), is thought to be the leading cause of adult-acquired epilepsy worldwide. Despite this, little is known about the cellular mechanisms that underlie seizure development in this condition. In this talk I will present our recent data exploring multiple interactions between cestode larvae, neuroinflammatory processes and network excitability. We find that viable cestode larvae are able to strongly suppress microglial activation and inflammatory cytokine release with consequences for the modulation host neuroinflammatory responses and seizure development in vivo. At the same time, larvae produce and release glutamate, with acute excitatory effects on neuronal circuits. We hope that an improved understanding of epileptogenic mechanisms in neurocysticercosis will one day improve the management of this condition as well as other inflammatory causes of epilepsy.