Abstract

BackgroundFunctional magnetic resonance imaging (fMRI) studies indicate that the brain organizes its activity into multiple functional networks (FNs) during either resting condition or task-performance. However, the functions of these FNs are not fully understood yet.Methodology/Principal FindingsTo investigate the operation of these FNs, spatial independent component analysis (sICA) was used to extract FNs from fMRI data acquired from healthy participants performing a visual task with two levels of attention and working memory load. The task-related modulations of extracted FNs were assessed. A group of FNs showed increased activity at low-load conditions and reduced activity at high-load conditions. These FNs together involve the left lateral frontoparietal cortex, insula, and ventromedial prefrontal cortex. A second group of FNs showed increased activity at high-load conditions and reduced activity at low-load conditions. These FNs together involve the intraparietal sulcus, frontal eye field, lateral frontoparietal cortex, insula, and dorsal anterior cingulate, bilaterally. Though the two groups of FNs showed opposite task-related modulations, they overlapped extensively at both the lateral and medial frontoparietal cortex and insula. Such an overlap of FNs would not likely be revealed using standard general-linear-model-based analyses.ConclusionsBy assessing task-related modulations, this study differentiated the functional roles of overlapping FNs. Several FNs including the left frontoparietal network are implicated in task conditions of low attentional load, while another set of FNs including the dorsal attentional network is implicated in task conditions involving high attentional demands.

Highlights

  • Several functional networks (FNs) including the left frontoparietal network are implicated in task conditions of low attentional load, while another set of FNs including the dorsal attentional network is implicated in task conditions involving high attentional demands

  • Recent functional magnetic resonance imaging studies demonstrate that the human brain organizes its activities into multiple functional networks (FNs) [1,2,3]

  • Many studies extract FNs from blood-oxygenation-level-dependent (BOLD) signal time series acquired at resting condition, and postulate the functions of different FNs based on their anatomical locations [7,8,9,10]

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Summary

Introduction

Recent functional magnetic resonance imaging (fMRI) studies demonstrate that the human brain organizes its activities into multiple functional networks (FNs) [1,2,3]. Many studies extract FNs from blood-oxygenation-level-dependent (BOLD) signal time series acquired at resting condition, and postulate the functions of different FNs based on their anatomical locations [7,8,9,10]. Such postulations may not always be accurate because the function of any given brain region is not fully understood yet. The DAN, ECN, LFPN, and RFPN all involve the frontoparietal cortex and insula and overlap at both the medial and lateral frontoparietal cortex [4] They are postulated to exert cognitive control functions [7,8,9]. The functions of these FNs are not fully understood yet

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