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Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome
BACKGROUND: One aim of characterizing dimensional psychopathology is associating different domains of affective dysfunction with brain circuitry. The functional connectome, as measured by functional magnetic resonance imaging, can be modeled and associated with psychopathology through multiple metho...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616351/ https://www.ncbi.nlm.nih.gov/pubmed/36324648 http://dx.doi.org/10.1016/j.bpsgos.2021.11.004 |
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author | Seok, Darsol Beer, Joanne Jaskir, Marc Smyk, Nathan Jaganjac, Adna Makhoul, Walid Cook, Philip Elliott, Mark Shinohara, Russell Sheline, Yvette I. |
author_facet | Seok, Darsol Beer, Joanne Jaskir, Marc Smyk, Nathan Jaganjac, Adna Makhoul, Walid Cook, Philip Elliott, Mark Shinohara, Russell Sheline, Yvette I. |
author_sort | Seok, Darsol |
collection | PubMed |
description | BACKGROUND: One aim of characterizing dimensional psychopathology is associating different domains of affective dysfunction with brain circuitry. The functional connectome, as measured by functional magnetic resonance imaging, can be modeled and associated with psychopathology through multiple methods; some methods assess univariate relationships while others summarize broad patterns of activity. It remains unclear whether different dimensions of psychopathology require different representations of the connectome to generate reproducible associations. METHODS: Patients experiencing anxious misery symptomology (depression, anxiety, and trauma; n = 192) received resting-state functional magnetic resonance imaging scans. Three modeling approaches (seed-based correlation analysis, edgewise regression, and brain basis set modeling), each relying on increasingly broader representations of the functional connectome, were used to associate connectivity patterns with six data-driven dimensions of psychopathology: anxiety sensitivity, anxious arousal, rumination, anhedonia, insomnia, and negative affect. To protect against overfitting, 50 participants were held out in a testing dataset, leaving 142 participants as training data. RESULTS: Different modeling approaches varied in the extent to which they could model different symptom dimensions: seed-based correlation analysis failed to reproducibly model any symptoms, subsets of the connectome (edgewise regression) were sufficient to model insomnia and anxious arousal, and broad representations of the entire connectome (brain basis set modeling) were necessary to model negative affect and ruminative thought. CONCLUSIONS: These results indicate that different methods of representing the functional connectome differ in the degree that they can model different symptom dimensions, highlighting the potential sufficiency of subsets of connections for some dimensions and the necessity of connectome-wide approaches in others. |
format | Online Article Text |
id | pubmed-9616351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96163512022-11-01 Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome Seok, Darsol Beer, Joanne Jaskir, Marc Smyk, Nathan Jaganjac, Adna Makhoul, Walid Cook, Philip Elliott, Mark Shinohara, Russell Sheline, Yvette I. Biol Psychiatry Glob Open Sci Archival Report BACKGROUND: One aim of characterizing dimensional psychopathology is associating different domains of affective dysfunction with brain circuitry. The functional connectome, as measured by functional magnetic resonance imaging, can be modeled and associated with psychopathology through multiple methods; some methods assess univariate relationships while others summarize broad patterns of activity. It remains unclear whether different dimensions of psychopathology require different representations of the connectome to generate reproducible associations. METHODS: Patients experiencing anxious misery symptomology (depression, anxiety, and trauma; n = 192) received resting-state functional magnetic resonance imaging scans. Three modeling approaches (seed-based correlation analysis, edgewise regression, and brain basis set modeling), each relying on increasingly broader representations of the functional connectome, were used to associate connectivity patterns with six data-driven dimensions of psychopathology: anxiety sensitivity, anxious arousal, rumination, anhedonia, insomnia, and negative affect. To protect against overfitting, 50 participants were held out in a testing dataset, leaving 142 participants as training data. RESULTS: Different modeling approaches varied in the extent to which they could model different symptom dimensions: seed-based correlation analysis failed to reproducibly model any symptoms, subsets of the connectome (edgewise regression) were sufficient to model insomnia and anxious arousal, and broad representations of the entire connectome (brain basis set modeling) were necessary to model negative affect and ruminative thought. CONCLUSIONS: These results indicate that different methods of representing the functional connectome differ in the degree that they can model different symptom dimensions, highlighting the potential sufficiency of subsets of connections for some dimensions and the necessity of connectome-wide approaches in others. Elsevier 2021-11-18 /pmc/articles/PMC9616351/ /pubmed/36324648 http://dx.doi.org/10.1016/j.bpsgos.2021.11.004 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Archival Report Seok, Darsol Beer, Joanne Jaskir, Marc Smyk, Nathan Jaganjac, Adna Makhoul, Walid Cook, Philip Elliott, Mark Shinohara, Russell Sheline, Yvette I. Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title | Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title_full | Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title_fullStr | Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title_full_unstemmed | Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title_short | Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome |
title_sort | differential impact of anxious misery psychopathology on multiple representations of the functional connectome |
topic | Archival Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616351/ https://www.ncbi.nlm.nih.gov/pubmed/36324648 http://dx.doi.org/10.1016/j.bpsgos.2021.11.004 |
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