Individual differences in sustained attention are associated with cortical thickness. Issue 11 (13th April 2019)

• Record Type: Journal Article
• Authors: Mitko, Alex; Rothlein, David; Poole, Victoria; Robinson, Meghan; McGlinchey, Regina; DeGutis, Joseph; Salat, David; Esterman, Michael
• Is Part Of: Human brain mapping. Volume 40:Issue 11(2019)
• Page Start: 3243
• Page End: 3253
• Publication Date: 2019-04-13
• Subjects: cortical thickness -- gradCPT -- sustained attention -- TOVA -- Veterans; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24594
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Several studies have examined how individual differences in sustained attention relate to functional brain measures (e.g., functional connectivity), but far fewer studies relate sustained attention ability, or cognition in general, to individual differences in cortical structure. Functional magnetic resonance imaging meta‐analyses and patient work have highlighted that frontoparietal regions, lateralized to the right hemisphere, are critical for sustained attention, though recent work implicates a broader expanse of brain regions. The current study sought to determine if and where variation in cortical thickness is significantly associated with sustained attention performance. Sustained attention was measured using the gradual onset continuous performance task and the Test of Variables of Attention in 125 adult Veteran participants after acquiring two high‐resolution structural MRI scans. Whole‐brain vertex‐wise analyses of the cortex demonstrated that better sustained attention was associated with increased thickness in visual, somatomotor, frontal, and parietal cortices, especially in the right hemisphere. Network‐based analyses revealed relationships between sustained attention and cortical thickness in the dorsal attention, ventral attention, somatomotor, and visual networks. These results indicate cortical thickness in multiple regions and networks is associated with sustained attention, and add to the growing knowledge of how structural MRI can help explain individual differences in cognition.