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      An executive function subtype of PTSD with unique neural markers and clinical trajectories

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          Abstract

          Previous work identified a cognitive subtype of PTSD with impaired executive function (i.e., impaired EF-PTSD subtype) and aberrant resting-state functional connectivity between frontal parietal control (FPCN) and limbic (LN) networks. To better characterize this cognitive subtype of PTSD, this study investigated (1) alterations in specific FPCN and LN subnetworks and (2) chronicity of PTSD symptoms. In a post-9/11 veteran sample ( N = 368, 89% male), we identified EF subgroups using a standardized neuropsychological battery and a priori cutoffs for impaired, average, and above-average EF performance. Functional connectivity between two subnetworks of the FPCN and three subnetworks of the LN was assessed using resting-state fMRI ( n = 314). PTSD chronicity over a 1–2-year period was assessed using a reliable change index ( n = 175). The impaired EF-PTSD subtype had significantly reduced negative functional connectivity between the FPCN subnetwork involved in top-down control of emotion and two LN subnetworks involved in learning/memory and social/emotional processing. This impaired EF-PTSD subtype had relatively chronic PTSD, while those with above-average EF and PTSD displayed greater symptom reduction. Lastly, FPCN-LN subnetworks partially mediated the relationship between EF and PTSD chronicity ( n = 121). This study reveals (1) that an impaired EF-PTSD subtype has a specific pattern of FPCN-LN subnetwork connectivity, (2) a novel above-average EF-PTSD subtype displays reduced PTSD chronicity, and (3) both cognitive and neural functioning predict PTSD chronicity. The results indicate a need to investigate how individuals with this impaired EF-PTSD subtype respond to treatment, and how they might benefit from personalized and novel approaches that target these neurocognitive systems.

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          Most cited references66

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          Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

          Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.
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            Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.

            A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers the possibility of in vivo human cortical parcellation. Almost all previous parcellations relied on 1 of 2 approaches. The local gradient approach detects abrupt transitions in functional connectivity patterns. These transitions potentially reflect cortical areal boundaries defined by histology or visuotopic fMRI. By contrast, the global similarity approach clusters similar functional connectivity patterns regardless of spatial proximity, resulting in parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and global similarity approaches. Using task-fMRI and rs-fMRI across diverse acquisition protocols, we found gwMRF parcellations to be more homogeneous than 4 previously published parcellations. Furthermore, gwMRF parcellations agreed with the boundaries of certain cortical areas defined using histology and visuotopic fMRI. Some parcels captured subareal (somatotopic and visuotopic) features that likely reflect distinct computational units within known cortical areas. These results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data. Multiresolution parcellations generated from 1489 participants are publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal).
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              The neural bases of emotion regulation: reappraisal and suppression of negative emotion.

              Emotion regulation strategies are thought to differ in when and how they influence the emotion-generative process. However, no study to date has directly probed the neural bases of two contrasting (e.g., cognitive versus behavioral) emotion regulation strategies. This study used functional magnetic resonance imaging (fMRI) to examine cognitive reappraisal (a cognitive strategy thought to have its impact early in the emotion-generative process) and expressive suppression (a behavioral strategy thought to have its impact later in the emotion-generative process). Seventeen women viewed 15 sec neutral and negative emotion-eliciting films under four conditions--watch-neutral, watch-negative, reappraise-negative, and suppress-negative--while providing emotion experience ratings and having their facial expressions videotaped. Reappraisal resulted in early (0-4.5 sec) prefrontal cortex (PFC) responses, decreased negative emotion experience, and decreased amygdala and insular responses. Suppression produced late (10.5-15 sec) PFC responses, decreased negative emotion behavior and experience, but increased amygdala and insular responses. These findings demonstrate the differential efficacy of reappraisal and suppression on emotional experience, facial behavior, and neural response and highlight intriguing differences in the temporal dynamics of these two emotion regulation strategies.
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                Author and article information

                Contributors
                acrickel@bu.edu
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                27 June 2022
                27 June 2022
                2022
                : 12
                : 262
                Affiliations
                [1 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, National Center for PTSD (NCPTSD), , VA Boston Healthcare System, ; Boston, MA USA
                [2 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, Boston Attention and Learning Lab (BALLAB), , VA Boston Healthcare System, ; Boston, MA USA
                [3 ]GRID grid.189504.1, ISNI 0000 0004 1936 7558, Department of Psychiatry, , Boston University School of Medicine, ; Boston, MA USA
                [4 ]GRID grid.33489.35, ISNI 0000 0001 0454 4791, Department of Psychological and Brain Sciences, , University of Delaware, ; Newark, DE USA
                [5 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, Translational Research Center for TBI and Stress Disorders (TRACTS), , VA Boston Healthcare System, ; Boston, MA USA
                [6 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Psychiatry, , Harvard Medical School, ; Boston, MA USA
                [7 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, Geriatric Research, Education and Clinical Center (GRECC), , VA Boston Healthcare System, ; Boston, MA USA
                [8 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, Neuroimaging Research for Veterans (NeRVe) Center, , VA Boston Healthcare System, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0003-2268-8101
                Article
                2011
                10.1038/s41398-022-02011-y
                9237057
                35760805
                51acef53-e249-41fd-99f6-1c771e933247
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 January 2022
                : 19 May 2022
                : 27 May 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000738, U.S. Department of Veterans Affairs (Department of Veterans Affairs);
                Award ID: I01CX001653
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Clinical Psychology & Psychiatry
                human behaviour,diagnostic markers,predictive markers
                Clinical Psychology & Psychiatry
                human behaviour, diagnostic markers, predictive markers

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