IBRAiN Office Hours

IBRAiN fellows hold weekly office hours for the BIRC community to help users with their projects and provide short tutorials. Spring 2020 hours are held virtually Mondays 1:30-4:30p, Tuesdays 12-3p, Wednesdays 9a-12p, Thursdays 2-5p, and Fridays 2-5p. To join an office hour, connect to meeting 646 198 704 on UConn Webex.
For more information about the fellows and office hours, please see https://brainimaging.center.uconn.edu/ibrain-team/. Collectively, the fellows provide expertise in fMRI analysis using AFNI or FSL, cluster computing, and EEG analysis. If you have a research project that would benefit from IBRAiN involvement beyond office hours, please contact roeland.hancock@uconn.edu.

Talk: David Badre, Brown University

Tuesday, March 3rd from 1:30-3:00 pm in Arjona 307

Abstract:

This talk will describe an on-going line of research in our lab investigating the cognitive and neural systems that support hierarchical cognitive control, or our ability to simultaneously control immediate actions while also holding more abstract, temporally remote goals in mind. Psychologists have long proposed that we have a capacity for hierarchical control, citing its potential contributions to sequential behavior, as well as higher-order planning, reasoning, and abstraction. Despite its importance for cognition, the cognitive and neural mechanisms that support hierarchical control remain unknown. Here I will provide a line of evidence suggesting that this type of complex control partly depends on gating of working memory by cortico-striatal circuits. In this light, I will discuss on-going efforts to develop fMRI methods that can characterize the dimensionality of neural representations in the prefrontal cortex that support complex task control.

Bio:David Badre received his Ph.D. from the Department of Brain and Cognitive Sciences at MIT in 2005. Following a postdoctoral fellowship at the University of California, Berkeley, he joined Brown’s Department of Cognitive, Linguistic, and Psychological Sciences as Assistant Professor in 2008 and was subsequently promoted to Associate Professor in 2014 and then Professor in 2019. He is also an affiliate of the Carney Institute for Brain Science and a trainer in the Neuroscience Graduate Program. His lab at Brown focuses on the cognitive neuroscience of memory and cognitive control with an emphasis on frontal lobe function and organization. Dr. Badre serves on the editorial boards of Psychological Science, Cognitive Science, and Behavioral Neuroscience.  He served as Section Editor covering “Executive Function and Cognitive Control” for Neuropsychologia until 2017. Presently, he serves on the Board of Reviewing Editors for the journal eLife, and he is a standing member of the Cognition and Perception study section of NIH. His research is supported by NINDS and NIMH at the NIH, and through the Office of Naval Research. His work has been recognized by several awards, including an Alfred P. Sloan Foundation Fellowship in Neuroscience, a James S. McDonnell Scholar Award in Understanding Human Cognition, and the Cognitive Neuroscience Society Young Investigator Award. His book on the neuroscience of cognitive control, entitled On Task: How the brain gets things done, will be published in November, 2020 through Princeton University Press.

**Register here for Webex**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.

Talk: Katarzyna Chawarska, Yale University

Tuesday, February 4th from 1:30-3:00 pm in Arjona 307

Abstract:The lecture will address selected facets of social and emotional development during prodromal and early syndromal stages of Autism Spectrum Disorder and their links with later outcomes amongst children with ASD and their siblings. Recent efforts in fetal and neonatal neuroimaging  to understand underlying mechanisms will be briefly mentioned.

Bio: Dr. Katarzyna Chawarska is Emily Fraser Beede Professor of Child Psychiatry, Pediatrics, and Statistics and Data Science and the Director of the Social and Affective Neuroscience of Autism Program and the Yale Autism Center of Excellence Program at the Child Study Center, Yale School of Medicine.  Her research focuses on identifying early markers of core and co-morbid symptoms in children with Autism Spectrum Disorder (ASD) and related conditions.  She has served as the Chair of the Baby Sibling Research Consortium, and a Board member of the International Society for Autism Research. She is a principal investigator on numerous federally and privately funded grants as well as the lead author on multiple publications and book chapters. In her clinical practice, Dr. Chawarska specializes in early diagnosis of ASD as well as developmental follow-up of infants at risk for ASD due to familial, genetic factors, or due to prenatal or perinatal complications such as premature birth.  She is also committed to training of the next generation of clinicians and researchers in the field of developmental disabilities as well as promoting early detection of ASD both nationally and internationally.

**Register here for Webex**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.

Talk: Kimberly Noble, Columbia University

Tuesday, December 3rd from 1:30-3:00 pm in Arjona 307

Abstract: Socioeconomic disparities in childhood are associated with remarkable differences in cognitive and socio-emotional development during a time when dramatic changes are occurring in the brain. Recent work has focused on understanding the neurobiological pathways through which socioeconomic factors shape development. Behavioral evidence suggests that language, memory, social-emotional skills, and executive functions exhibit relatively large differences across socioeconomic lines, and more recent work has found differences in socioeconomic differences in brain structure in the very regions that support these skills. It is likely that socioeconomic factors operate via multiple mechanisms to explain the development of different neural circuits. A theoretical model will be presented whereby differences in the home language environment and family stress likely impact particular brain systems, which in turn support distinct neurocognitive skills. Evidence for the model, as well as ongoing and future work testing aspects of the model, will be discussed. Finally, the question of interventions will be addressed, along with an overview of Baby’s First Years, the first clinical trial of poverty reduction in early childhood.

Bio:Kimberly Noble, MD, PhD, is an Associate Professor of Neuroscience and Education at Teachers College, Columbia University. She received her undergraduate, graduate and medical degrees at the University of Pennsylvania. As a neuroscientist and board-certified pediatrician, she studies how socioeconomic inequality relates to in children’s cognitive and brain development.  Her work examines socioeconomic disparities in cognitive development, as well as brain structure and function, across infancy, childhood and adolescence. She is particularly interested in understanding how early in infancy or toddlerhood such disparities develop; the modifiable environmental differences that account for these disparities; and the ways we might harness this research to inform the design of interventions. She is one of the principal investigators of the Baby’s First Years study: the first clinical trial of poverty reduction to assess the causal impact of income on children’s cognitive, emotional and brain development in the first three years of life. Dr. Noble was elected a Fellow of the Association for Psychological Science, and was awarded a 2017 Association for Psychological Science Janet Taylor Spence Award for Transformative Early Career Contributions. Her work linking family income to brain structure across childhood and adolescence has received worldwide attention in the popular press.

**Register here for Webex**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.

Talk: Stephanie Jones, Brown University

Brown University

Tuesday, November 5th from 1:30-3:00 pm in Arjona 307

Abstract: EEG and MEG are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it can be extremely difficult to infer the underlying cellular and circuit level origins of these macro-scale signals without simultaneous invasive recordings. This limits the translation of EEG/MEG into novel principles of information processing, or into new treatment modalities for neural pathologies. To address this need, we developed the Human Neocortical Neurosolver (HNN: https://hnn.brown.edu), a new user-friendly neural modeling tool designed to help researchers and clinicians interpret human imaging data. In this talk, I will give an overview of this new tool and describe an application to study the origin and meaning of 15-29Hz beta frequency oscillations, known to be important for sensory and motor function. I will also touch on other applications of HNN to study the mechanistic origin of functionally relevant human EEG/MEG and modulation in these signals with non-invasive brain stimulation. In total, HNN provides an unpresented biophysically principled tool to link mechanism to meaning of human EEG/MEG signals.

Bio: Stephanie R. Jones, PhD is Associate Professor in the Department of Neuroscience at Brown University. She received her doctorate in mathematics from Boston University, followed by training in neuroscience and human MEG/EEG at Massachusetts General Hospital. Her research program integrates these disciplines to develop biophysically principled computational neural models that bridge the critical gap between human MEG/EEG brain imaging signals and their underlying cellular and network level generators. Dr. Jones’s group is currently expanding their interdisciplinary program to the field of non-invasive brain stimulation. A primary goal is to translate an understanding of the network mechanism underlying non-invasively measured brain signals into brain stimulation strategies to improve disrupted brain function.

**To view this talk remotely via Webex, please register hereby October 29th**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.

Inspirational Faculty Presentation: Can Neuroscience Democratize Education?

UConn BIRC Director, Fumiko Hoeft, gave one of the “Inspirational Faculty Presentations” at UConn President’s Inauguration on October 4th, 2019. In her talk, she discussed how innovation in neuroscience science can democratize education and practice. Recording of all presentation, including Fumiko Hoeft’s, can now be viewed here.

MRI Scanner Operation Training for Qualified Candidates


The Brain Imaging Research Center now offers qualified candidates the opportunity to learn how to operate the Siemens Prisma 3T MRI Scanner to perform brain research studies. This training will consist of three components:
Didactic – All candidates will be required to attend a two-hour class about MRI safety tailored to issues that can be encountered during data acquisition. This training will include: Preventing radiofrequency (RF) burns; working with Specific Absorption Rates (SAR); proper participant preparation; quench emergency procedures. Note: a basic knowledge of MRI physics is necessary for this class.
Instrumentation – All candidates will be required to attend a two-hour class to learn basic scanner operation, including: User platform orientation (Syngo VE11C); coil selection and handling; participant positioning; BOLD screen operation; Eye Link operation; response box selection and operation; image transfer to NiDB or XNAT; basictroubleshooting.
Scanner Operation – All candidates will be required to successfully complete a minimum of twenty research scan sessions that include fMRI (BOLD) imaging, structural sequences, and DTI (diffusion tensor imaging) with direct supervision by an MRI Technologist. Scanning studies currently active at BIRC may complete this requirement. Additional scan sessions may be required at the discretion of the supervising technologist.
After successful completion of the above training, the candidate will be allowed to scan his or her own studies without direct supervision. Note: An MRI technologist must be in the facility for all scan sessions.
Candidates must maintain their status by completing a minimum of one study per month. Failure to do so will require a minimum of two directly supervised scan sessions per missed month.
Training is expected to begin the week of October 28 2019, allowing the candidate to be prepared to scan his or her own study during the spring semester.
Qualified candidate prerequisites:
      • Post doc with a commitment to remain for a minimum of one year (must be endorsed by PI)
      • Graduate student who has completed their Masters degree and must be endorsed by PI
      • Formal knowledge of basic MRI physics
      • Completion of Level 1 and Level 2 Safety Training
      • CPR certified (must provide documentation prior to scanning humans)

Online classes available at redcross.org/take-a-class/online-safety-classes

Interested candidates can apply for this training opportunity by providing the following information and documentation:
      • PI name, duration of contract, and written endorsement
      • Proof of formal basic MRI physics education
      • Any previous MRI experience
      • Study name, projected start date, and expected number of participants
Important dates:
      • Application submission: October 7-October 18 2019
      • Candidate acceptance notification: October 25 2019
      • Didactic and Instrumentation training: November 2019 (dates TBD)
      • Scanner Operation: November 2019 until completed
Please send the requested information to:
 

Elisa Medeiros, R.T.(R)(CT)(MR)
MRSO (MRSC™)
Manager, MRI Services
University of Connecticut
Brain Imaging Research Center
2 Alethia Drive Unit 1271
Storrs CT 06269-1271

Talk: Uri Hasson, Princeton University

Uri Hasson, PhD

Princeton University

Tuesday, October 15th from 1:30-3:00 pm in Arjona 307

Abstract: Cognition materializes in an interpersonal space. At present, little is known about the neural substrates that underlie our ability to communicate with other brains in naturalistic settings. In the talk I will introduce novel methodological and analytical tools for characterizing the neural responses during production and comprehension of complex real-life speech. By directly comparing the neural activity timecourses during production and comprehension of the same narrative, we were able to identify areas in which the neural activity is correlated (coupled) across the speaker’s and listener’s brains during communication. Furthermore, the listener brain activity mirrors that of the speaker with a constant delay of three seconds. This mirroring was eliminated when the communication signals were misaligned. Finally, the stronger the speaker- listener coupling the greater listener comprehension. We argue that the observed coupling of production and comprehension-based processes serves as a mechanism by which brains convey information.

Bio: Uri Hasson grew up in Jerusalem. As an undergrad he studied philosophy and cognitive sciences at the Hebrew University. He completed his Ph.D. in Neurobiology at the Weizmann Institute in Israel and was a postdoctoral fellow at NYU before moving to Princeton. He is currently a Professor in the Psychology Department and the Neuroscience Institute at Princeton University. His research program aims to understand the neural basis of face-to-face, brain-to-brain, social interaction, with a focus on verbal communication and storytelling in real-life contexts.

**To view this talk remotely via Webex, please register here by October 8th**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.

Talk: Tor Wager, Dartmouth College

Tor Wager, PhD

Dartmouth College

Tuesday, September 10th from 1:30-3pm in Arjona 3o7

Abstract: Pain and emotion are central to human life. Their experience defines our wellbeing, and the brain processes that underlie them drive behavior and learning. Developing models of the brain systems that generate pain and emotion could transform how we understand their neurophysiological origins, and how we understand interventions ranging from drugs to psychotherapy. However, developing such models will require computational advances, particularly in our ability to model how emergent properties like pain arise from complex interactions among brain systems. In this talk, I describe an approach and a series of studies aimed at constructing models of pain and other forms of affect with high neuroscientific interpretability, predictive validity, and reproducibility. Combining fMRI with machine learning techniques, we have developed brain models capable of predicting the intensity of pain, negative affect, empathy, autonomic activity, and other subjective experiences in individual participants. In addition to utility as biomarkers and targets for both psychological and drug interventions, these models can provide insight into how the brain represents multiple varieties of affective experience. 

Bio: Tor Wager is the Diana L. Taylor Distinguished Professor in Neuroscience at Dartmouth College. He received his Ph.D. from the University of Michigan in Cognitive Psychology in 2003, and served as an Assistant (2004-2008) and Associate Professor (2009) at Columbia University, and as Associate (2010-2014) and Full Professor (2014-2019) at the University of Colorado, Boulder. Since 2004, he has directed the Cognitive and Affective Neuroscience laboratory, a research lab devoted to work on the neurophysiology of affective processes—pain, emotion, stress, and empathy—and how they are shaped by cognitive and social influences. Dr. Wager and his lab are also dedicated to developing analysis methods for functional neuroimaging and sharing ideas, tools, and scientific data with the scientific community and public. See http://wagerlab.colorado.eduand http://canlab.github.iofor papers, data, tools, and code.

**To view this talk remotely via Webex, please register here by September 3rd**

Please email birc@uconn.edu if you are interested in meeting with a speaker. Click here to see the full BIRC Speaker Series schedule and access recordings of past talks.