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Neurology

Functional magnetic resonance imaging

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Full-Text Articles in Other Psychiatry and Psychology

Network Specialization During Adolescence: Hippocampal Effective Connectivity In Boys And Girls, Jeffrey D. Riley, E. Elinor Chen, Jessica Winsell, Elyssia Poggi Davis, Laura M. Glynn, Tallie Z. Baram, Curt A. Sandman, Steven L. Small, Ana Solodkin Apr 2018

Network Specialization During Adolescence: Hippocampal Effective Connectivity In Boys And Girls, Jeffrey D. Riley, E. Elinor Chen, Jessica Winsell, Elyssia Poggi Davis, Laura M. Glynn, Tallie Z. Baram, Curt A. Sandman, Steven L. Small, Ana Solodkin

Psychology Faculty Articles and Research

Adolescence is a complex period of concurrent mental and physical development that facilitates adult functioning at multiple levels. Despite the growing number of neuroimaging studies of cognitive development in adolescence focusing on regional activation patterns, there remains a paucity of information about the functional interactions across these participating regions that are critical for cognitive functioning, including memory. The current study used structural equation modeling (SEM) to determine how interactions among brain regions critical for memory change over the course of adolescence. We obtained functional MRI in 77 individuals aged 8–16 years old, divided into younger (ages 8–10) and older (ages …


Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene Oct 2013

Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene

Psychology Faculty Articles and Research

Background: Multi-sensor technologies such as EEG, MEG, and ECoG result in high-dimensional data sets. Given the high temporal resolution of such techniques, scientific questions very often focus on the time-course of an experimental effect. In many studies, researchers focus on a single sensor or the average over a subset of sensors covering a “region of interest” (ROI). However, single-sensor or ROI analyses ignore the fact that the spatial focus of activity is constantly changing, and fail to make full use of the information distributed over the sensor array.

Methods: We describe a technique that exploits the optimality and …