Literature DB >> 26801604

Cingulo-opercular network activity maintains alertness.

Clio P Coste1, Andreas Kleinschmidt2.   

Abstract

Previous investigations of alertness have confounded it with selective attention because targets were highly predictable. To truly isolate alertness we devised a sparse event-related design with many different randomly appearing and interleaved auditory and visual targets, thereby rendering prediction inefficient. Using functional magnetic resonance imaging, we then analyzed the influence of local brain activity variations prior to task appearance on reaction times, thus avoiding signal contributions from stimulus-driven attention. Higher pre-stimulus activity in a cingulo-opercular network, and the default mode network, resulted in faster response speed but only the former network showed task-positive responses. Conversely, dorsal attention network pre-stimulus activity was overall irrelevant and on auditory trials even detrimental to performance. Thus, in a paradigm where no information predicted timing, modality or properties of a subsequent stimulus, our results dissociate alertness, both anatomically and functionally, from attention and establish the central role of the cingulo-opercular network for sustaining alertness.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Attention; Human brain; Spontaneous activity; Vigilance; fMRI

Mesh:

Year:  2016        PMID: 26801604     DOI: 10.1016/j.neuroimage.2016.01.026

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  43 in total

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Authors:  Kenneth I Vaden; Susan Teubner-Rhodes; Jayne B Ahlstrom; Judy R Dubno; Mark A Eckert
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6.  Cognitive manipulation of brain electric microstates.

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Review 7.  Developing brain networks of attention.

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9.  Slow Endogenous Fluctuations in Cortical fMRI Signals Correlate with Reduced Performance in a Visual Detection Task and Are Suppressed by Spatial Attention.

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10.  Cingulo-opercular adaptive control for younger and older adults during a challenging gap detection task.

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Journal:  J Neurosci Res       Date:  2019-08-05       Impact factor: 4.164

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