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Cognitive and Neural Modeling Meeting
October 24, 2014

Jim Kragel, Interdisciplinary Neuroscience Program (Polyn Lab), Vanderbilt University

Friday, 10/24/14

12:00 p.m.

Wilson Hall 519

Jim will be talking about his work using a computational model of memory search to interpret the functional properties of neuroimaging data.


Clinical Science Brown Bag Series: Megan Ichinose
October 28, 2014

Megan Ichinose, Department of Psychology, Vanderbilt University

12:10 p.m. Room 316, Wilson Hall

Reframing verbal memory deficits in schizophrenia: An issue of cognitive dysconnectivity?

One hypothesis explaining core symptoms associated with schizophrenia is that of neural ‘dysconnectivity’, which describes abnormal connectivity between distinct brain regions. While this hypothesis has arisen from and continues to be supported by a number of functional and structural neuroimaging studies, few have examined how dysconnectivity might manifest behaviorally through cognitive task performance. In the current talk I will discuss a study assessing chronic schizophrenia patients’ performance across a number of tasks tapping verbal memory – an established core domain of impairment in schizophrenia. We specifically examine how verbal working memory, long-term memory and semantic memory ability relate to each other in patient versus healthy populations. This approach allows us to explore patterns of cross-task performance within and between groups. Results provide a behavioral perspective on underlying neural dysconnectivity in schizophrenia. 



CCN Brown Bag Series: Taihei Ninomiya
October 29, 2014

The Cognition and Cognitive Neuroscience (CCN) program presents Taihei Ninomiya, Department of Psychology (Schall Lab), Vanderbilt University

12:10 p.m. Room 115 Wilson Hall

Contrasting circuitry in frontal and occipital cortex


Is the cerebral cortex one organ or many?  In spite of obvious variation in appearance of different areas of cerebral cortex, is just one basic circuit used throughout?

Our laboratory has been investigating this question by comparing features of an agranular frontal area, SEF, to features of the most granular area of all, V1.

I will provide overview of the CCM and its proposed implications (Blue Brain, etc.)

I will summarize work done to date in SEF with laminar recording

I will report new findings using CF-PAC as an assay of cortical laminar circuitry.


Neuroscience Seminar: Ben Tamber-Rosenau
October 30, 2014

Ben Tamber-Rosenau, Department of Psychology, Vanderbilt University

12:10 p.m. Room 316, Wilson Hall

Title and abstract TBA

Quantitative Methods Colloquium Series
November 3, 2014

Using Graphs to Tell Research Stories, from Many Different Perspectives

Joe Rodgers, Quantitative Methods, Vanderbilt Dept. of Psychology & Human Development

Abstract: An effective graph can be used to tell a story about the world, a graphical model of some real-world phenomenon. But there are lots of different kinds of stories. I present a taxonomy of graphs in relation to the kind of stories they tell, and illustrate with a number of prototypes.

Clinical Science Brown Bag Series: Tricia Thornton-Wells
November 4, 2014

Tricia Thornton-Wells, Genetics Department, Vanderbilt School of Medicine

12:10 p.m. Room 316, Wilson Hall

"Neuro-Imaging Genetics: Better Biomarkers + Better Modelling = Better Science"


The principal challenge in the field of human neurogenetics research hinges on the presence of heterogeneity—both clinical heterogeneity and genetic heterogeneity.  In my laboratory’s research on disorders of cognitive impairment, we are interested in understanding how genetic factors modulate the biophysiological response to early disease-related changes in brain, and we have aimed to address this principal challenge by (1) investigating highly-penetrant genetic models of more common, complex disorders; (2) using brain-based biomarkers from neuroimaging or biomolecular analytics; and (3) by explicitly testing for the presence of gene-gene and gene-environment interactions.  I will provide an overview and several examples of the biomarker & statistical genetics research we have conducted on Alzheimer's disease using our local cohort of individuals with Down syndrome and the publicly-accessible Alzheimer's Disease Neuroimaging Initiative database. 








CCN Brown Bag Series: Hyunyoung Park
November 5, 2014

Hyunyoung Park, Department of Psychology (Woodman Lab) Vanderbilt University

Wednesday, 11/5/2014

12:10 p.m.

Wilson Hall 115

Title & abstract TBA

Neuroscience Seminar
November 6, 2014

Speaker to be announced

12:10 p.m. Room 316, Wilson Hall

Title and abstract TBA

Psychological Sciences Colloquium Series presents Stephen B. Manuck
November 6, 2014

Stephen B. Manuck, Ph.D., University of Pittsburgh,

The 2013 Distinguished Alumnus Award Winner 

Thursday, November 6, 2014

4:10 p.m.
Location: 204 Mayborn 

Hearts and Minds: Bio behavioral Sources of Cardiovascular Risk

Much health-related research in psychology addresses behavioral influences on the development, prevention, and management of diseases of the heart and vasculature.  This is not surprising, as heart disease and stroke remain the foremost sources of mortality in industrialized nations.  These diseases are partly predicted from common biological risk factors like elevated blood pressure, dyslipidemia and insulin resistance, and by health-impairing behaviors such as smoking and physical inactivity, thus informing current public health efforts directed at disease prevention.  We now know that a variety of other behavioral and social environmental factors also contribute to cardiovascular risk, including socioeconomic inequalities, social isolation, work-related stressors, and affective traits and disorders, such as anxiety, depression, and angry or hostile temperament.  Yet we are only beginning to understand how these largely psychological factors become embedded in the pathophysiology of cardiovascular disease, or as it is commonly phrased, “get under the skin.”  In this talk I will summarize work on two bio behavioral mechanisms that may mediate psychosocial influences on atherosclerosis, the pathologic process underlying susceptibility to heart attack and the most common form of stroke. The first of these, referred to as the “reactivity hypothesis,” posits individual differences in the magnitude of cardiovascular reactions evoked by common psychological stressors.  Such reactivity is stable over time, substantially heritable, and elevated in persons behaviorally predisposed to coronary heart disease.  That a heightened cardiovascular reactivity also conduces to atherosclerosis is supported in an experimental model of atherogenesis and by a variety of patient and population-based epidemiological studies of preclinical vascular disease. The second mechanistic hypothesis I will discuss has potential relevance for the cardiovascular health of women.  Comparative research documents mild disruptions of cyclic ovarian function among female macaques of subordinate, relative to dominant, social rank and shows these reproductive deficits to mediate status-dependent variation in atherosclerosis.  Building on these observations, J.R. Kaplan and I propose that the premenopausal protection against heart disease that women ordinarily experience is not invariant, but tracks with the quality of women’s premenopausal ovarian function.  In addition, and like low social rank in monkeys, adverse life circumstances or other psychological challenges may disrupt women’s ovarian function along a gradient of severity and with varying chronicity over the reproductive lifespan. We refer to the more rapid acquisition of preclinical atherosclerosis predicted of women suffering extended ovarian deficits, compared to women of uncompromised ovarian function, as the “precocious acceleration” of premenopausal cardiovascular risk.  This acceleration of risk may, in turn, presage an earlier onset of clinical disease, like heart attack, even though such events may still generally occur after the age of menopause.


Clinical Science Brown Bag Series: Chandra Y. Osborn
November 11, 2014

Chandra Y. Osborn, Ph.D., MPH,   Assistant Professor of Medicine, Assistant Professor of Biomedical Informatics, Vanderbilt University School of Medicine

Tuesday, 11/11/14

12:10 p.m.

Wilson Hall 316

Title & Abstract TBA

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