Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

Get Involved!
Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

Difference between revisions of "Cognitive Regime Shift I - When the Brain Breaks/Large-scale Brain Network Changes Across the Healthy Adult Human Lifespan: Relations to Cognition and First Steps toward Identifying Potential Risk Factors of Brain Decline"

From Complex Time
Line 3: Line 3:
 
|End time=July 24, 2018 11:40:00 AM
 
|End time=July 24, 2018 11:40:00 AM
 
|Presenter=GaganWig
 
|Presenter=GaganWig
|Pre-meeting notes=-Human brain areas are organized into a large-scale functional network, which can be measured at rest using non-invasive brain imaging (functional MRI)-The brain network contains segregated sub-networks that correspond to functionally specialized brain systems-The segregation of brain systems declines with increasing age, across the healthy adult lifespan-System segregation relates to cognitive function in individuals-My working hypothesis is that slow and fast cognitive decline is related to changes in system segregation as an individual ages, and that individual differences in rate and risk of decline are a consequence of the capacity to tolerate and adapt to damage to the brain network
+
|Pre-meeting notes=-Human brain areas are organized into a large-scale functional network, which can be measured at rest using non-invasive brain imaging (functional MRI)
|Post-meeting notes=-im excited about applying different approaches in complexity towards understanding age-related changes in brain organization (e.g., thinking about flickering, network 'clogging'), but also relating our work across additional scales, if that is possible.
+
 
 +
 
 +
-The brain network contains segregated sub-networks that correspond to functionally specialized brain systems
 +
 
 +
 
 +
-The segregation of brain systems declines with increasing age, across the healthy adult lifespan
 +
 
 +
 
 +
-System segregation relates to cognitive function in individuals (greater system segregation is associated with better long--term memory ability)
 +
 
 +
 
 +
-Certain health risk factors (e.g., lower socioeconomic status) are related to lower system segregation
 +
 
 +
 
 +
-My working hypothesis is that gradual and sudden cognitive decline is related to changes in system segregation as an individual ages, and that individual differences in rate and risk of decline are a consequence of the capacity of the functional brain network to tolerate and adapt to damage (neurodegeneration)
 +
|Post-meeting notes=-applying different approaches in complexity towards understanding age-related changes in brain organization (e.g., thinking about flickering, network 'clogging')
 +
 
 +
 
 +
-prospects of expanding/linking our work to additional scales of analysis
 
}}
 
}}

Revision as of 03:53, July 31, 2018

July 24, 2018
10:50 am - 11:40 am

Presenter

Gagan Wig (UT Dallas)

Abstract

-Human brain areas are organized into a large-scale functional network, which can be measured at rest using non-invasive brain imaging (functional MRI)


-The brain network contains segregated sub-networks that correspond to functionally specialized brain systems


-The segregation of brain systems declines with increasing age, across the healthy adult lifespan


-System segregation relates to cognitive function in individuals (greater system segregation is associated with better long--term memory ability)


-Certain health risk factors (e.g., lower socioeconomic status) are related to lower system segregation


-My working hypothesis is that gradual and sudden cognitive decline is related to changes in system segregation as an individual ages, and that individual differences in rate and risk of decline are a consequence of the capacity of the functional brain network to tolerate and adapt to damage (neurodegeneration)

Presentation file(s)
Related files