Starting May 14th, 2021, the data in LocatorPlus.gov will be frozen in preparation for the migration to the new Primo VE-powered LocatorPlus Catalog which goes live June 8th, 2021. See the Technical Bulletin article for more information. LocatorPlus.gov will remain available until August 31st, 2021.

Start Over
Detailed View
SearchTitlesLibrary InformationOther DatabasesHelpHome


Collections of the National Library of Medicine
Search Request: Simple Search = 101684394
Search Results: Displaying 1 of 1 records

Summary ViewDetailed ViewTable of ContentsMARC ViewMore Like This

How you think : structural network mechanisms of human brain function /...

Title: How you think : structural network mechanisms of human brain function / Danielle S. Bassett.
Author(s)/Relationship(s): Bassett, Danielle S., speaker.
Publisher: [Bethesda, Md.] : [National Institutes of Health], [2016]
Related Names: National Institutes of Health (U.S.). Office of Behavioral and Social Sciences Research, sponsoring body.
Series: BSSR lecture
Description: 1 online resource (1 streaming video file (1 hr., 0 min.)) : color, sound.
Content Type: two-dimensional moving image
Media Type: computer
Carrier Type: online resource
Language: eng
Electronic Links: http://videocast.nih.gov/launch.asp?19668
MeSH Subjects: Brain --physiology
Cognition --physiology
Nerve Net --physiology
Lecture
Webcast
Summary: (CIT): BSSR Lecture Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behavior. Fundamental principles constraining these dynamic network processes have remained elusive. I will discuss a recent application of network control theory to human neuroimaging data that provides new insights into the structural network mechanisms of human brain function. Using diffusion spectrum imaging data, we build a structural brain network with 234 nodes (brain regions) connected by weighted edges (number of white matter streamlines linking brain regions). We employ a simplified noise-free linear discrete-time and time-invariant network model of neural dynamics in which the state of brain regions depends on the connectivity between them. We interrogate this model to determine the role of brain regions in different control strategies. Our results suggest that densely connected areas, particularly in the default mode system, facilitate the movement of the brain to many easily-reachable states. Weakly connected areas, particularly in cognitive control systems, facilitate the movement of the brain to difficult-to-reach states. Areas located on the boundary between network communities, particularly in attentional control systems, facilitate the integration or segregation of diverse cognitive systems. As a whole, this body of work suggests that structural network differences between the default mode, cognitive control, and attentional control systems dictate their distinct roles in controlling brain network function. More generally, our results support the view that macroscale structural design underlies basic cognitive control processes via the fundamental mechanism of network controllability. Learn more and register http://events.r20.constantcontact.com/register/event?oeidk=a07ebwkcfsa85e9ac70&llr=vykrlptab.
Notes: Closed-captioned.
NLM Unique ID: 101684394
Other ID Numbers: (DNLM)CIT:19668
(OCoLC)951830057

SFX



Options for Print, Save or E-mail
Select Download Format:
E-mail Full record(s) to:


SearchTitlesLibrary InformationOther DatabasesHelpHome

Copyright, Privacy, Accessibility
U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894
National Institutes of Health, Health & Human Services
Contact NLM