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Behavioral/Systems/Cognitive Anatomical and Functional Assemblies of Brain BOLD
 

Summary: Behavioral/Systems/Cognitive
Anatomical and Functional Assemblies of Brain BOLD
Oscillations
Alexis T. Baria,1 Marwan N. Baliki,1 Todd Parrish,2 and A. Vania Apkarian1,3,4,5
Departments of 1Physiology, 2Radiology, 3Anesthesia, and 4Surgery, and 5Rehabilitation Institute of Chicago, Feinberg School of Medicine, Northwestern
University, Chicago, Illinois 60610
Brain oscillatory activity has long been thought to have spatial properties, the details of which are unresolved. Here we examine spatial
organizational rules for the human brain oscillatory activity as measured by blood oxygen level-dependent (BOLD) signal. Resting-state
BOLD signal was transformed into frequency space (Welch's method) and averaged across subjects, and its spatial distribution was
studied as a function of four frequency bands, spanning the full BOLD bandwidth. The brain showed anatomically constrained distribu-
tion of power for each frequency band. This result was replicated on a repository dataset of 195 subjects. Next, we examined larger-scale
organization by parceling the neocortex into regions approximating Brodmann areas (BAs). This indicated that BAs of simple function/
connectivity (unimodal), versus complex properties (transmodal), are dominated by low-frequency BOLD oscillations, and within the
visual ventral stream we observe a graded shift of power to higher-frequency bands for BAs further removed from the primary visual
cortex (increased complexity), linking BOLD frequency properties to hodology. Additionally, BOLD oscillation properties for the default
mode network demonstrated that it is composed of distinct frequency-dependent regions. When the same analysis was performed on a
visual­motor task, frequency-dependent global and voxelwise shifts in BOLD oscillations could be detected at brain sites mostly outside
those identified with general linear modeling. Thus, analysis of BOLD oscillations in full bandwidth uncovers novel brain organizational
rules,linkinganatomicalstructuresandfunctionalnetworkstocharacteristicBOLDoscillations.Theapproachalsoidentifieschangesin
brain intrinsic properties in relation to responses to external inputs.

  

Source: Apkarian, A. Vania - Department of Physiology, Northwestern University

 

Collections: Biology and Medicine