title: Identification of Resting State Networks Involved in Executive Function.
abstract: The structural networks in the human brain are consistent across subjects, and this is reflected also in that functional networks across subjects are relatively consistent. These findings are not only present during performance of a goal oriented task but there are also consistent functional networks during resting state. It suggests that goal oriented activation patterns may be a function of component networks identified using resting state. The current study examines the relationship between resting state networks measured and patterns of neural activation elicited during a Stroop task. The association between the Stroop-activated networks and the resting state networks was quantified using spatial linear regression. In addition, we investigated if the degree of spatial association of resting state networks with the Stroop task may predict performance on the Stroop task. The results of this investigation demonstrated that the Stroop activated network can be decomposed into a number of resting state networks, which were primarily associated with attention, executive function, visual perception, and the default mode network. The close spatial correspondence between the functional organization of the resting brain and task-evoked patterns supports the relevance of resting state networks in cognitive function.
authors.affiliation: 1 Cognitive Systems Group, Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience , Trinity College Dublin, Dublin, Ireland .
authors.forename: Joanna
authors.initials: J
authors.lastname: Connolly
authors.affiliation: 2 School of Medicine, University College Dublin , Dublin, Ireland .
authors.forename: Jonathan P
authors.initials: JP
authors.lastname: McNulty
authors.affiliation: 3 School of Nursing and Human Science, Dublin City University , Dublin, Ireland .
authors.forename: Lorraine
authors.initials: L
authors.lastname: Boran
authors.affiliation: 4 Department of Psychology, Maynooth University , Maynooth, Co. Kildare, Ireland .
authors.forename: Richard A P
authors.initials: RA
authors.lastname: Roche
authors.affiliation: 5 School of Humanities, Waterford Institute of Technology , Waterford, Ireland .
authors.forename: David
authors.initials: D
authors.lastname: Delany
authors.affiliation: 1 Cognitive Systems Group, Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience , Trinity College Dublin, Dublin, Ireland .
authors.forename: Arun L W
authors.initials: AL
authors.lastname: Bokde
mesh_terms: D000368:Aged; D001288:Attention / Q000502:physiology; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D003071:Cognition / Q000502:physiology; D056344:Executive Function / Q000502:physiology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D012146:Rest / Q000502:physiology*; D057190:Stroop Test
keywords: cognition; functional magnetic resonance imaging; independent component analysis; intrinsic networks; resting state functional connectivity magnetic resonance imaging