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White matter microstructure of attentional networks predicts attention and consciousness functional interactions

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Abstract

Attention is considered as one of the pre-requisites of conscious perception. Phasic alerting and exogenous orienting improve conscious perception of near-threshold information through segregated brain networks. Using a multimodal neuroimaging approach, combining data from functional MRI (fMRI) and diffusion-weighted imaging (DWI), we investigated the influence of white matter properties of the ventral branch of superior longitudinal fasciculus (SLF III) in functional interactions between attentional systems and conscious perception. Results revealed that (1) reduced integrity of the left hemisphere SLF III was predictive of the neural interactions observed between exogenous orienting and conscious perception, and (2) increased integrity of the left hemisphere SLF III was predictive of the neural interactions observed between phasic alerting and conscious perception. Our results combining fMRI and DWI data demonstrate that structural properties of the white matter organization determine attentional modulations over conscious perception.

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Notes

  1. Note that although cues were spatially informative, they consisted of peripheral and salient stimuli, which are known to exogenously capture attention to that location, i.e. peripheral informative cues produce both an initial exogenous attentional capture, and an endogenous maintenance of attention at the indicated location (Chica et al. 2013a). Therefore, although we refer to Chica et al. (2013b) study as the “Exogenous Orienting” study, we acknowledge there is an endogenous maintenance component in the orienting of attention.

  2. In Bayesian statistics a Bayesian factor = 1 indicates no evidence in favor of either the null or the alternative hypothesis. Bayesian factors >3 indicate moderate evidence in favor of the alternative hypothesis, while Bayesian factors <−3 indicate moderate evidence in favor of the null hypothesis. Bayesian factor values between −3 and 3 indicate anecdotal evidence.

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Acknowledgements

ABC was supported by a Ramón y Cajal fellowship (RYC-2011-09320) and research project PSI2014-58681-P from the Spanish Ministry of Economy and Competitiveness (MINECO). PMP-A was supported by a Ramón y Cajal fellowship (RYC-2014-15440), and grants PSI2015-65696 and SEV-2015-049 from the MINECO. MTdS received funding from the ‘Agence Nationale de la Recherche’ (Grant number ANR-13-JSV4-0001-01) and “Investissements d’avenir” ANR-10-IAIHU-06. PB received funding from the ‘Agence Nationale de la Recherche’ (Grant number R16139DD).

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Authors and Affiliations

  1. Departamento de Psicología Experimental, and Brain, Mind, and Behavior Research Centre (CIMCYC), Universidad de Granada, Campus de Cartuja S/N, 18071, Granada, Spain

    Ana B. Chica

  2. Brain Connectivity and Behaviour Group, Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), CNRS U7225 and, Inserm U1127, GH Pitié-Salpêtrière, Paris, France

    Michel Thiebaut de Schotten

  3. INSERM U 1127, CNRS, UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), 75013, Paris, France

    Paolo Bartolomeo

  4. BCBL, Basque Center On Cognition, Brain and Language, Donostia, Spain

    Pedro M. Paz-Alonso

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  1. Ana B. Chica
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Chica, A.B., Thiebaut de Schotten, M., Bartolomeo, P. et al. White matter microstructure of attentional networks predicts attention and consciousness functional interactions. Brain Struct Funct 223, 653–668 (2018). https://doi.org/10.1007/s00429-017-1511-2

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