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Interplay Between Default-Mode and Task-Positive Networks: Functional Characterization of the Brain's Large-Scale Neural Systems.

dc.contributor.authorChen, Ching-nungen_US
dc.date.accessioned2010-06-03T15:44:47Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2010-06-03T15:44:47Z
dc.date.issued2010en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/75923
dc.description.abstractRecent work has demonstrated that the human brain is functionally organized into distinct large-scale networks, with particular attention focused on the default-mode network (DMN) and the anti-correlated “task-positive” networks. Despite the growing evidence that these neural systems are intrinsically connected at rest and during the performance of cognitive functions, little is known about network relationships during tasks that actively recruit DMN, such as social cognition. Characterizing how the functions and the interactions of the DMN may modulate brain activity in other large-scale neural systems may be a critical step in advancing our understanding of network dynamics. Using behavioral and functional magnetic resonance imaging (fMRI) experiments, this dissertation aims: 1) To characterize network dynamics when functions carried out by the DMN are required, and 2) to determine the modulatory effects of task demand on network dynamics in processing these functions. Four experiments were developed to address these aims. Using a task that probes a fundamental aspect of social cognition - appraising another individual, experiment 1 showed parallel recruitment of the DMN (medial prefrontal and posterior cingulate cortices) and the task-positive network (pre-SMA, dACC, bilateral fronto-parietal cortices). Connectivity analyses (psychophysiological interaction) further showed functional interaction within the DMN, and with the task-positive network, both vary as a function of social preference. In another set of experiments, a novel dual-task paradigm was developed that parametrically manipulated factors known to affect cortical activity in the default-mode and task-positive networks: social cognition and spatial working memory demand, respectively. Two behavioral experiments showed selective interference, manifested as a drop in working memory accuracy, between spatial working memory and the evaluative appraisal of self, suggesting functional overlap. Finally, a neuroimaging experiment adopted this dual-task paradigm to examine the interactions between DMN, social cognition and task demand. Significant social cognition-by-task demand interactions were present in multiple regions of the DMN (medial prefrontal regions) and the task-positive networks (primarily posterior parietal foci). Overall, these results suggest that network dynamics, at least between the two neural systems considered herein, are dependent on social cognition as well as task demand.en_US
dc.format.extent1929231 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectFMRIen_US
dc.subjectDefault-mode Networken_US
dc.subjectSocial Cognitionen_US
dc.subjectTask-positive Networksen_US
dc.subjectFunctional Connectivityen_US
dc.subjectMedial Prefrontal Cortexen_US
dc.titleInterplay Between Default-Mode and Task-Positive Networks: Functional Characterization of the Brain's Large-Scale Neural Systems.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineNeuroscienceen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberTaylor, Stephan F.en_US
dc.contributor.committeememberDeldin, Patricia J.en_US
dc.contributor.committeememberLiberzon, Israelen_US
dc.contributor.committeememberPreston, Stephanieen_US
dc.contributor.committeememberReuter-Lorenz, Patricia A.en_US
dc.subject.hlbsecondlevelNeurosciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/75923/1/cnchen_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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