Heterogeneity in functional connectivity : Dimensional predictors of individual variability during rest and task fMRI in psychosis
Copyright © 2023. Published by Elsevier Inc..
BACKGROUND: Individuals with schizophrenia spectrum disorders (SSD) often demonstrate cognitive impairments, associated with poor functional outcomes. While neurobiological heterogeneity has posed challenges when examining social cognition in SSD, it provides a unique opportunity to explore brain-behavior relationships. The aim of this study was to investigate the relationship between individual variability in functional connectivity during resting state and the performance of a social task and social and non-social cognition in a large sample of controls and individuals diagnosed with SSD.
METHODS: Neuroimaging and behavioral data were analyzed for 193 individuals with SSD and 155 controls (total n = 348). Individual variability was quantified through mean correlational distance (MCD) of functional connectivity between participants; MCD was defined as a global 'variability score'. Pairwise correlational distance was calculated as 1 - the correlation coefficient between a given pair of participants, and averaging distance from one participant to all other participants provided the mean correlational distance metric. Hierarchical regressions were performed on variability scores derived from resting state and Empathic Accuracy (EA) task functional connectivity data to determine potential predictors (e.g., age, sex, neurocognitive and social cognitive scores) of individual variability.
RESULTS: Group comparison between SSD and controls showed greater SSD MCD during rest (p = 0.00038), while no diagnostic differences were observed during task (p = 0.063). Hierarchical regression analyses demonstrated the persistence of a significant diagnostic effect during rest (p = 0.008), contrasting with its non-significance during the task (p = 0.50), after social cognition was added to the model. Notably, social cognition exhibited significance in both resting state and task conditions (both p = 0.01).
CONCLUSIONS: Diagnostic differences were more prevalent during unconstrained resting scans, whereas the task pushed participants into a more common pattern which better emphasized transdiagnostic differences in cognitive abilities. Focusing on variability may provide new opportunities for interventions targeting specific cognitive impairments to improve functional outcomes.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:132 |
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| Enthalten in: |
Progress in neuro-psychopharmacology & biological psychiatry - 132(2024) vom: 08. Apr., Seite 110991 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Secara, Maria T [VerfasserIn] |
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| Links: |
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| Themen: |
Empathic accuracy |
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| Anmerkungen: |
Date Completed 15.04.2024 Date Revised 26.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.pnpbp.2024.110991 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM369746139 |
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| 245 | 1 | 0 | |a Heterogeneity in functional connectivity |b Dimensional predictors of individual variability during rest and task fMRI in psychosis |
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| 500 | |a Date Revised 26.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023. Published by Elsevier Inc. | ||
| 520 | |a BACKGROUND: Individuals with schizophrenia spectrum disorders (SSD) often demonstrate cognitive impairments, associated with poor functional outcomes. While neurobiological heterogeneity has posed challenges when examining social cognition in SSD, it provides a unique opportunity to explore brain-behavior relationships. The aim of this study was to investigate the relationship between individual variability in functional connectivity during resting state and the performance of a social task and social and non-social cognition in a large sample of controls and individuals diagnosed with SSD | ||
| 520 | |a METHODS: Neuroimaging and behavioral data were analyzed for 193 individuals with SSD and 155 controls (total n = 348). Individual variability was quantified through mean correlational distance (MCD) of functional connectivity between participants; MCD was defined as a global 'variability score'. Pairwise correlational distance was calculated as 1 - the correlation coefficient between a given pair of participants, and averaging distance from one participant to all other participants provided the mean correlational distance metric. Hierarchical regressions were performed on variability scores derived from resting state and Empathic Accuracy (EA) task functional connectivity data to determine potential predictors (e.g., age, sex, neurocognitive and social cognitive scores) of individual variability | ||
| 520 | |a RESULTS: Group comparison between SSD and controls showed greater SSD MCD during rest (p = 0.00038), while no diagnostic differences were observed during task (p = 0.063). Hierarchical regression analyses demonstrated the persistence of a significant diagnostic effect during rest (p = 0.008), contrasting with its non-significance during the task (p = 0.50), after social cognition was added to the model. Notably, social cognition exhibited significance in both resting state and task conditions (both p = 0.01) | ||
| 520 | |a CONCLUSIONS: Diagnostic differences were more prevalent during unconstrained resting scans, whereas the task pushed participants into a more common pattern which better emphasized transdiagnostic differences in cognitive abilities. Focusing on variability may provide new opportunities for interventions targeting specific cognitive impairments to improve functional outcomes | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Empathic accuracy | |
| 650 | 4 | |a Functional connectivity | |
| 650 | 4 | |a Heterogeneity | |
| 650 | 4 | |a Individual variability | |
| 650 | 4 | |a Neurocognition | |
| 650 | 4 | |a Resting state | |
| 650 | 4 | |a Schizophrenia Spectrum Disorders | |
| 650 | 4 | |a Social cognition | |
| 700 | 1 | |a Oliver, Lindsay D |e verfasserin |4 aut | |
| 700 | 1 | |a Gallucci, Julia |e verfasserin |4 aut | |
| 700 | 1 | |a Dickie, Erin W |e verfasserin |4 aut | |
| 700 | 1 | |a Foussias, George |e verfasserin |4 aut | |
| 700 | 1 | |a Gold, James |e verfasserin |4 aut | |
| 700 | 1 | |a Malhotra, Anil K |e verfasserin |4 aut | |
| 700 | 1 | |a Buchanan, Robert W |e verfasserin |4 aut | |
| 700 | 1 | |a Voineskos, Aristotle N |e verfasserin |4 aut | |
| 700 | 1 | |a Hawco, Colin |e verfasserin |4 aut | |
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