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      Transcranial magnetic stimulation to frontal but not occipital cortex disrupts endogenous attention

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          Significance

          Human neuroimaging studies have revealed activity in frontal regions (e.g., FEF+) as a neural correlate of endogenous (voluntary) attention, and early visual areas (V1/V2) as neural correlates of both endogenous and exogenous (involuntary) attention. Using a causal manipulation—transcranial magnetic stimulation—we show that briefly disrupting activity in rFEF+ weakens endogenous attention’s benefits at attended and costs at unattended locations. In contrast, V1/V2 stimulation did not alter endogenous attention (although we have previously demonstrated that it eliminates effects of exogenous attention). Correspondingly, whereas stimulation to rFEF+ increased the rate of microsaccades directed toward the stimulated hemifield, occipital stimulation did not. Together, these results provide causal evidence for the role of rFEF+ but not V1/V2 in endogenous attention.

          Abstract

          Covert endogenous (voluntary) attention improves visual performance. Human neuroimaging studies suggest that the putative human homolog of macaque frontal eye fields (FEF+) is critical for this improvement, whereas early visual areas are not. Yet, correlational MRI methods do not manipulate brain function. We investigated whether rFEF+ or V1/V2 plays a causal role in endogenous attention. We used transcranial magnetic stimulation (TMS) to alter activity in the visual cortex or rFEF+ when observers performed an orientation discrimination task while attention was manipulated. On every trial, they received double-pulse TMS at a predetermined site (stimulated region) around V1/V2 or rFEF+. Two cortically magnified gratings were presented, one in the stimulated region (contralateral to the stimulated area) and another in the symmetric (ipsilateral) nonstimulated region. Grating contrast was varied to measure contrast response functions (CRFs) for all attention and stimulation combinations. In experiment 1, the CRFs were similar at the stimulated and nonstimulated regions, indicating that early visual areas do not modulate endogenous attention during stimulus presentation. In contrast, occipital TMS eliminates exogenous (involuntary) attention effects on performance [A. Fernández, M. Carrasco, Curr. Biol.  30, 4078–4084 (2020)]. In experiment 2, rFEF+ stimulation decreased the overall attentional effect; neither benefits at the attended location nor costs at the unattended location were significant. The frequency and directionality of microsaccades mimicked this pattern: Whereas occipital stimulation did not affect microsaccades, rFEF+ stimulation caused a higher microsaccade rate directed toward the stimulated hemifield. These results provide causal evidence of the role of this frontal region for endogenous attention.

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          FreeSurfer.

          FreeSurfer is a suite of tools for the analysis of neuroimaging data that provides an array of algorithms to quantify the functional, connectional and structural properties of the human brain. It has evolved from a package primarily aimed at generating surface representations of the cerebral cortex into one that automatically creates models of most macroscopically visible structures in the human brain given any reasonable T1-weighted input image. It is freely available, runs on a wide variety of hardware and software platforms, and is open source. Copyright © 2012 Elsevier Inc. All rights reserved.
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            The Psychophysics Toolbox

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              Cortical surface-based analysis. I. Segmentation and surface reconstruction.

              Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical properties in humans, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Here we describe a set of automated procedures for obtaining accurate reconstructions of the cortical surface, which have been applied to data from more than 100 subjects, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging. Copyright 1999 Academic Press.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                28 February 2023
                7 March 2023
                28 August 2023
                : 120
                : 10
                : e2219635120
                Affiliations
                [1] aDepartment of Psychology, New York University , New York, NY 10003
                [2] bCenter for Neural Science, New York University , New York, NY 10003
                [3] cDepartment of Psychology, Humboldt-Universität zu Berlin , 12489 Berlin, Germany
                Author notes
                2To whom correspondence may be addressed. Email: marisa.carrasco@ 123456nyu.edu .

                Contributed by Marisa Carrasco; received November 16, 2022; accepted January 27, 2023; reviewed by Lorella Battelli, Ana B. Chica, and Jason B. Mattingley

                1Present address: Department of Psychology, University of Texas at Austin, Austin, TX 78712.

                Author information
                https://orcid.org/0000-0002-1002-9056
                Article
                202219635
                10.1073/pnas.2219635120
                10013745
                36853947
                fa5765a9-38e8-4645-9bb0-61bfb3fcbf8f
                Copyright © 2023 the Author(s). Published by PNAS.

                This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 16 November 2022
                : 27 January 2023
                Page count
                Pages: 10, Words: 7232
                Funding
                Funded by: HHS | NIH | National Eye Institute (NEI), FundRef 100000053;
                Award ID: R01-EY-019693 R01-EY027401
                Award Recipient : Marisa Carrasco
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS), FundRef 100000056;
                Award ID: F99-NS-120705
                Award Recipient : Antonio Fernández
                Funded by: European Commission (EC), FundRef 501100000780;
                Award ID: MSCA-IF (898520)
                Award Recipient : Nina M Hanning
                Categories
                research-article, Research Article
                psych-bio, Psychological and Cognitive Sciences
                Biological Sciences
                Psychological and Cognitive Sciences

                visual attention,contrast sensitivity,tms,occipital cortex,frontal cortex

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