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      A 7-Tesla MRI study of the periaqueductal gray: resting state and task activation under threat

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          Abstract

          The periaqueductal gray (PAG) is a region of the midbrain implicated in a variety of behaviors including defensive responses to threat. Despite the wealth of knowledge pertaining to the differential functional roles of the PAG columns in nonhuman and human research, the basic functional connectivity of the PAG at rest has not been well characterized. Therefore, the current study utilized 7-Tesla magnetic resonance imaging (MRI) to characterize PAG functional connectivity at rest and task activation under uncertain threat. A sample of 53 neurologically healthy undergraduate participants (M age = 22.2, s.d. age = 3.62) underwent structural and resting state functional MRI scans. Supporting previous work, voxel-wise analyses showed that the PAG is functionally connected to emotion regulation and fear networks. The comparison of functional connectivity of PAG columns did not reveal any significant differences. Thirty-five participants from the same sample also completed an uncertain threat task with blocks of three conditions—no shock, predictable shock and unpredictable shock. There were no robust activity differences within the PAG columns or the whole PAG across conditions although there was differential activity at the voxel level in the PAG and in other regions theoretically relevant to uncertain threat. Results of this study elucidate PAG connectivity at rest and activation in response to uncertain threat.

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          Most cited references58

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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 brain basis of emotion: a meta-analytic review.

            Researchers have wondered how the brain creates emotions since the early days of psychological science. With a surge of studies in affective neuroscience in recent decades, scientists are poised to answer this question. In this target article, we present a meta-analytic summary of the neuroimaging literature on human emotion. We compare the locationist approach (i.e., the hypothesis that discrete emotion categories consistently and specifically correspond to distinct brain regions) with the psychological constructionist approach (i.e., the hypothesis that discrete emotion categories are constructed of more general brain networks not specific to those categories) to better understand the brain basis of emotion. We review both locationist and psychological constructionist hypotheses of brain-emotion correspondence and report meta-analytic findings bearing on these hypotheses. Overall, we found little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions. Instead, we found evidence that is consistent with a psychological constructionist approach to the mind: A set of interacting brain regions commonly involved in basic psychological operations of both an emotional and non-emotional nature are active during emotion experience and perception across a range of discrete emotion categories.
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              AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

              A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. The software can color overlay neural activation maps onto higher resolution anatomical scans. Slices in each cardinal plane can be viewed simultaneously. Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. Facilities are provided for several types of statistical analyses of multiple 3D functional data sets. The programs are written in ANSI C and Motif 1.2 to run on Unix workstations.
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                Author and article information

                Contributors
                Journal
                Soc Cogn Affect Neurosci
                Soc Cogn Affect Neurosci
                scan
                Social Cognitive and Affective Neuroscience
                Oxford University Press (UK )
                1749-5016
                1749-5024
                February 2022
                09 July 2021
                09 July 2021
                : 17
                : 2
                : 187-197
                Affiliations
                departmentDepartment of Psychology, University of Wisconsin—Milwaukee , Milwaukee, WI 53211, USA
                Montana VA Healthcare System , Helena, MT 59636, USA
                departmentDepartment of Psychology, University of Wisconsin—Milwaukee , Milwaukee, WI 53211, USA
                departmentDepartment of Psychology, University of Wisconsin—Milwaukee , Milwaukee, WI 53211, USA
                departmentInstitute for Behavioral Medicine Research, The Ohio State University , Columbus, OH 43210, USA
                departmentDepartment of Psychology, University of Wisconsin—Milwaukee , Milwaukee, WI 53211, USA
                Author notes
                Correspondence should be addressed to Carissa N. Weis, Department of Psychology, University of Wisconsin – Milwaukee, 2441 E Hartford Ave, Milwaukee, WI 53211, USA. E-mail: cweis@ 123456mcw.edu .
                Author information
                https://orcid.org/0000-0002-9199-8632
                Article
                nsab085
                10.1093/scan/nsab085
                8847906
                34244809
                f0a8f19f-a000-4475-87ae-bd9da69e74cd
                © The Author(s) 2021. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 03 December 2020
                : 23 June 2021
                : 08 July 2021
                : 03 July 2021
                : 15 February 2022
                Page count
                Pages: 11
                Funding
                Funded by: Daniel M. Soref Charitable Trust through the Center for Imaging Research at the Medical College of Wisconsin;
                Categories
                Original Manuscript
                AcademicSubjects/SCI01880

                Neurosciences
                periaqueductal gray,pag,resting state,functional connectivity,npu,uncertain threat
                Neurosciences
                periaqueductal gray, pag, resting state, functional connectivity, npu, uncertain threat

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