TY - JOUR
T1 - Task-related concurrent but opposite modulations of overlapping functional networks as revealed by spatial ICA
AU - Xu, Jiansong
AU - Zhang, Sheng
AU - Calhoun, Vince D.
AU - Monterosso, John
AU - Li, Chiang Shan R.
AU - Worhunsky, Patrick D.
AU - Stevens, Michael
AU - Pearlson, Godfrey D.
AU - Potenza, Marc N.
N1 - Funding Information:
We thank Dr. John Wall at The University of Toledo for thoughtful comments. This study was funded by the following grants: the National Institute on Drug Abuse (NIDA) grants R03 DA022364 (Xu), K01 DA027750 (Xu), K02DA026990 (Li), and P20 DA027844 (Potenza).
PY - 2013/10/1
Y1 - 2013/10/1
N2 - Animal studies indicate that different functional networks (FNs), each with a unique timecourse, may overlap at common brain regions. For understanding how different FNs overlap in the human brain and how the timecourses of overlapping FNs are modulated by cognitive tasks, we applied spatial independent component analysis (sICA) to functional magnetic resonance imaging (fMRI) data. These data were acquired from healthy participants while they performed a visual task with parametric loads of attention and working memory. sICA identified a total of 14 FNs, and they showed different extents of overlap at a majority of brain regions exhibiting any functional activity. More FNs overlapped at the higher-order association cortex including the anterior and posterior cingulate, precuneus, insula, and lateral and medial frontoparietal cortices (FPCs) than at the primary sensorimotor cortex. Furthermore, overlapping FNs exhibited concurrent but different task-related modulations of timecourses. FNs showing task-related up- vs. down-modulation of timecourses overlapped at both the lateral and medial FPCs and subcortical structures including the thalamus, striatum, and midbrain ventral tegmental area (VTA). Such task-related, concurrent, but opposite changes in timecourses in the same brain regions may not be detected by current analyses based on General-Linear-Model (GLM). The present findings indicate that multiple cognitive processes may associate with common brain regions and exhibit simultaneous but different modulations in timecourses during cognitive tasks.
AB - Animal studies indicate that different functional networks (FNs), each with a unique timecourse, may overlap at common brain regions. For understanding how different FNs overlap in the human brain and how the timecourses of overlapping FNs are modulated by cognitive tasks, we applied spatial independent component analysis (sICA) to functional magnetic resonance imaging (fMRI) data. These data were acquired from healthy participants while they performed a visual task with parametric loads of attention and working memory. sICA identified a total of 14 FNs, and they showed different extents of overlap at a majority of brain regions exhibiting any functional activity. More FNs overlapped at the higher-order association cortex including the anterior and posterior cingulate, precuneus, insula, and lateral and medial frontoparietal cortices (FPCs) than at the primary sensorimotor cortex. Furthermore, overlapping FNs exhibited concurrent but different task-related modulations of timecourses. FNs showing task-related up- vs. down-modulation of timecourses overlapped at both the lateral and medial FPCs and subcortical structures including the thalamus, striatum, and midbrain ventral tegmental area (VTA). Such task-related, concurrent, but opposite changes in timecourses in the same brain regions may not be detected by current analyses based on General-Linear-Model (GLM). The present findings indicate that multiple cognitive processes may associate with common brain regions and exhibit simultaneous but different modulations in timecourses during cognitive tasks.
KW - Attention
KW - Cognitive function
KW - FMRI
KW - Independent component analysis
KW - Neuroimaging
KW - Working memory
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U2 - 10.1016/j.neuroimage.2013.04.038
DO - 10.1016/j.neuroimage.2013.04.038
M3 - Article
C2 - 23611864
AN - SCOPUS:84877887554
SN - 1053-8119
VL - 79
SP - 62
EP - 71
JO - NeuroImage
JF - NeuroImage
ER -