Brain signal variability and executive functions across the life span

Author:

Goodman Zachary T.1ORCID,Nomi Jason S.2,Kornfeld Salome13,Bolt Taylor2,Saumure Roger A.1,Romero Celia1,Bainter Sierra A.1,Uddin Lucina Q.24

Affiliation:

1. Department of Psychology, University of Miami, Coral Gables, FL, USA

2. Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA

3. REHAB Basel, Klinik für Neurorehabilitation und Paraplegiologie, Basel, Switzerland

4. Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA

Abstract

Abstract Neural variability is thought to facilitate survival through flexible adaptation to changing environmental demands. In humans, such capacity for flexible adaptation may manifest as fluid reasoning, inhibition of automatic responses, and mental set-switching—skills falling under the broad domain of executive functions that fluctuate over the life span. Neural variability can be quantified via the BOLD signal in resting-state fMRI. Variability of large-scale brain networks is posited to underpin complex cognitive activities requiring interactions between multiple brain regions. Few studies have examined the extent to which network-level brain signal variability across the life span maps onto high-level processes under the umbrella of executive functions. The present study leveraged a large publicly available neuroimaging dataset to investigate the relationship between signal variability and executive functions across the life span. Associations between brain signal variability and executive functions shifted as a function of age. Limbic-specific variability was consistently associated with greater performance across subcomponents of executive functions. Associations between executive function subcomponents and network-level variability of the default mode and central executive networks, as well as whole-brain variability, varied across the life span. Findings suggest that brain signal variability may help to explain to age-related differences in executive functions across the life span.

Funder

National Institutes of Health

National Institute of Mental Health

Freiwillige Akademische Gesellschaft

National Alliance for Research on Schizophrenia and Depression

Canadian Institute for Advanced Research

University of Miami Gabelli Senior Scholar Award

Publisher

MIT Press

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,General Neuroscience

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reliability of variability and complexity measures for task and task‐free BOLD fMRI;Human Brain Mapping;2024-07-09

2. Electroencephalography Spectral-power Volatility Predicts Problem-solving Outcomes;Journal of Cognitive Neuroscience;2024

3. Individual differences in neuroplastic recovery;Reference Module in Neuroscience and Biobehavioral Psychology;2024

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