Long-term effects of attentional performance on functional brain network topology

• Published in: PloS one Vol. 8; no. 9; p. e74125
• Main Authors: Breckel, Thomas P K, Thiel, Christiane M, Bullmore, Edward T, Zalesky, Andrew, Patel, Ameera X, Giessing, Carsten
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 09-09-2013; Public Library of Science (PLoS)
• Subjects: Adult; Arousal; Attention; Attention - physiology; Brain; Brain - physiology; Brain architecture; Brain Mapping; Clustering; Cognitive ability; Female; Functional magnetic resonance imaging; Glucose; Head Movements; Humans; Long-term effects; Magnetic Resonance Imaging; Male; Metabolism; Network topologies; Networks; Neural networks; Neurosciences; Psychology; Psychomotor Performance - physiology; Recovery; Resilience; Studies; Switches; Switching theory; Topology; Vigilance; Young Adult; United Kingdom > UK; Germany
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0074125

Individuals differ in their cognitive resilience. Less resilient people demonstrate a greater tendency to vigilance decrements within sustained attention tasks. We hypothesized that a period of sustained attention is followed by prolonged changes in the organization of "resting state" brain networks and that individual differences in cognitive resilience are related to differences in post-task network reorganization. We compared the topological and spatial properties of brain networks as derived from functional MRI data (N = 20) recorded for 6 mins before and 12 mins after the performance of an attentional task. Furthermore we analysed changes in brain topology during task performance and during the switches between rest and task conditions. The cognitive resilience of each individual was quantified as the rate of increase in response latencies over the 32-minute time course of the attentional paradigm. On average, functional networks measured immediately post-task demonstrated significant and prolonged changes in network organization compared to pre-task networks with higher connectivity strength, more clustering, less efficiency, and shorter distance connections. Individual differences in cognitive resilience were significantly correlated with differences in the degree of recovery of some network parameters. Changes in network measures were still present in less resilient individuals in the second half of the post-task period (i.e. 6-12 mins after task completion), while resilient individuals already demonstrated significant reductions of functional connectivity and clustering towards pre-task levels. During task performance brain topology became more integrated with less clustering and higher global efficiency, but linearly decreased with ongoing time-on-task. We conclude that sustained attentional task performance has prolonged, "hang-over" effects on the organization of post-task resting-state brain networks; and that more cognitively resilient individuals demonstrate faster rates of network recovery following a period of attentional effort.