Neuroscience Guest Lectures

Audience: Students & Faculty, but all welcome.

A reception will follow.

Lecturer #1

dr-david-glahnDavid Glahn, PhD

Professor of Psychiatry & Psychology,

Co-Director, Neurocognition, Neurocomputation & Neurogenetics Division, Yale University School of Medicine

Director, ADAPTING Laboratory, Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital


Professor David Glahn’s research focuses on elucidating the neurobiological roots of major mental illnesses through the integration of cognitive neuropsychological, functional and structural neuroimaging, and behavioral and molecular genetic approaches.  The ultimate goal is to identify the genes involved in affective and psychotic illnesses as well as those that influence non-pathological brain structure and function.  Gene localization could contribute significantly to our understanding of the underlying biology of complex mental illness, which would in turn improve future treatments and open potential for prevention strategies.

Topic: Localizing Genetic Loci for Affective and Psychotic Disorders with Endophenotypes mechanisms and molecules

Dr Glahn will discuss how quantitative endophenotypes can provide novel genetic insights for mental illness. More…
Progress in elucidating the pathophysiology of mental illnesses is predicated on causal gene identification. However, no genome-wide significant loci have yet been localized for most mental illnesses except for a few linked to schizophrenia and bipolar disorder that explain only a fraction of the genetic variance predisposing these illnesses.

Quantitative endophenotypes, traits that index genetic liability for an illness rather than diagnoses alone, provides a complementary strategy for identifying risk genes that has been successfully applied to identify disease-risk genes for heart disease, obesity, and diabetes. Quantitative endophenotypes established in family-based studies of clinical samples typically vary within the normal population, thus providing the opportunity to localize genes influencing these traits in unselected pedigrees.

Dr Glahn presents recent work in applying neurocognitive, neuroimage and transcriptional endophenotypes in search of risk genes for affective and psychotic illnesses as part of the “Genetics of Brain Structure and Function” study.

Lecture #2

brain-neuron-flip_David N. Kennedy, PhD

Department of Psychiatry, Division of Neuroinformatics,

ReproNim: A Center for Reproducible Neuroimaging Computation,

University of Massachusetts Medical Center


Dr Kennedy has extensive expertise in the development of image analysis techniques and was a co-founder of the Center for Morphometric Analysis (CMA) at the Massachusetts General Hospital. Throughout his career, he has participated in the advent of novel technologies such as MRI-based morphometric analysis (1989), functional MRI (1991) and diffusion tensor pathway analysis (1998). He has long-standing experience with development of neuroinformatics resources (Internet Brain Volumetric Database, Internet Brain Segmentation Repository, Internet Analysis Tools Registry) and participated as co-PI in the morphometry Biomedical Informatics Research Network (mBIRN). Dr Kennedy is the community liaison for the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) and a founding editor of the Neuroinformatics journal that debuted in 2003.

Topic: Advancing Reproducibility in Neuroimaging Computation: The ReproNim Concepts

Dr Kennedy will provide an overview of the ReproNim Project, which seeks to implement a shift in the way neuroimaging research is performed and reported. More..
The overarching goal is to improve the reproducibility of neuroimaging science and extend the impact of research funding through the implementation of a Findable, Accessible, Interoperable and Reusable (FAIR) technology stack that supports a comprehensive set of data management, analysis, and utilization frameworks for both basic research and clinical activities. ReproNim encompasses three technology development efforts and a training mission:

1) Resource Discovery: development of new search and discovery tools to create a sophisticated, comprehensive and dynamic search environment for working with distributed neuroimaging data, tools, workflows and execution environments.

2) Data Modelling & Interoperability: To provide end-users a set of commonly used, reproducible workflows with integrated results and provenance tracking that are easy to use.

3) Reusable Execution Environments: To enable reproducible computation through full automation and tracking of computing environments.

4) Training: To provide the brain imaging community with online training materials based on ReproNim concepts and software developed.

Together, these technologies support a vision of a neuroimaging research landscape where the generation of knowledge is accomplished in a FAIR fashion (in terms of data, analysis and computation) coupled with the ability to reuse and extend these studies by others in the community.

Date: Monday, December 12, 2016 at 4pm

Amphitheatre: de Grandpré Communications Centre
Montreal Neurological Institute and Hospital
3801, rue University Street, Montréal (Québec)

Directions to the de Grandpré Communications Centre:

  • When entering the main MNI lobby turn left and go to the end of the hallway.
  • Turn right and pass the first set of elevators on your right.
  • Go to the second set of elevators that are near the Neurosurgery offices
    on your right.
  • Take the elevators down to 2B which is the Brain Imaging Centre..
  • When exiting the elevators go right then right again past the reception desk.
  • Go through a set of doors and go down the hall through the second set of doors.
  • You are now entering the Molson Pavilion. Go down the hall and pass through
    the third set of doors. You are now entering the Brain Tumour Research Centre.
  • There are a set of elevators on your left near the third set of doors.
  • Take the elevators down to 3B which is the bottom floor.
  • The de Grandpré Communications Centre is on the right side of the
    elevators when you exit.

Registration: here