Brain Markers of Resilience to Psychosis in High-Risk Individuals: A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI Studies Article Swipe
Guusje Collin
,
Joshua E. Goldenberg
,
Xiao Chang
,
Zhenghan Qi
,
Susan Whitfield‐Gabrieli
,
Wiepke Cahn
,
Jijun Wang
,
William S. Stone
,
Matcheri S. Keshavan
,
Martha E. Shenton
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202502.2230.v1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202502.2230.v1
Background/objectives: Most individuals who have a familial or clinical risk to develop psychosis remain free from psychopathology. Identifying neural markers of resilience in these at-risk individuals may help clarify underlying mechanisms and yield novel targets for (early) intervention. However, in contrast to studies on risk biomarkers, studies on neural markers of resilience to psychosis are scarce. The current study aims to identify potential brain markers of resilience to psychosis. Methods: A systematic review of the literature yielded a total of 43 MRI studies reporting resilience-associated brain changes in individuals with elevated risk for psychosis. Label-based meta-analysis was used to synthesize findings across MRI modalities. Results: Resilience-associated brain changes were significantly overreported among regions of the default mode and language network, and among highly connected and central brain regions. Conclusions: These findings suggest that DMN and language-associated brain regions and central brain hubs may be hotspots for resilience-associated brain changes. These neural systems are thus of key interest as targets of inquiry and, possibly, intervention in at-risk populations.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202502.2230.v1
- https://www.preprints.org/frontend/manuscript/d5153af676688e21c71a735e5901fc0d/download_pub
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408087746Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202502.2230.v1Digital Object Identifier
- Title
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Brain Markers of Resilience to Psychosis in High-Risk Individuals: A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI StudiesWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-27Full publication date if available
- Authors
-
Guusje Collin, Joshua E. Goldenberg, Xiao Chang, Zhenghan Qi, Susan Whitfield‐Gabrieli, Wiepke Cahn, Jijun Wang, William S. Stone, Matcheri S. Keshavan, Martha E. ShentonList of authors in order
- Landing page
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https://doi.org/10.20944/preprints202502.2230.v1Publisher landing page
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https://www.preprints.org/frontend/manuscript/d5153af676688e21c71a735e5901fc0d/download_pubDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.preprints.org/frontend/manuscript/d5153af676688e21c71a735e5901fc0d/download_pubDirect OA link when available
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Meta-analysis, Psychosis, Resilience (materials science), Psychology, Neuroimaging, Systematic review, Medicine, Psychiatry, Clinical psychology, Neuroscience, MEDLINE, Internal medicine, Biology, Biochemistry, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.changes. | 148 |
| abstract_inverted_index.clinical | 8 |
| abstract_inverted_index.contrast | 40 |
| abstract_inverted_index.elevated | 90 |
| abstract_inverted_index.familial | 6 |
| abstract_inverted_index.findings | 100, 130 |
| abstract_inverted_index.hotspots | 144 |
| abstract_inverted_index.identify | 61 |
| abstract_inverted_index.interest | 156 |
| abstract_inverted_index.language | 118 |
| abstract_inverted_index.network, | 119 |
| abstract_inverted_index.regions. | 127 |
| abstract_inverted_index.connected | 123 |
| abstract_inverted_index.possibly, | 162 |
| abstract_inverted_index.potential | 62 |
| abstract_inverted_index.psychosis | 12, 53 |
| abstract_inverted_index.reporting | 83 |
| abstract_inverted_index.literature | 75 |
| abstract_inverted_index.mechanisms | 30 |
| abstract_inverted_index.psychosis. | 68, 93 |
| abstract_inverted_index.resilience | 21, 51, 66 |
| abstract_inverted_index.synthesize | 99 |
| abstract_inverted_index.systematic | 71 |
| abstract_inverted_index.underlying | 29 |
| abstract_inverted_index.Identifying | 17 |
| abstract_inverted_index.Label-based | 94 |
| abstract_inverted_index.biomarkers, | 45 |
| abstract_inverted_index.individuals | 2, 25, 88 |
| abstract_inverted_index.modalities. | 103 |
| abstract_inverted_index.Conclusions: | 128 |
| abstract_inverted_index.intervention | 163 |
| abstract_inverted_index.overreported | 110 |
| abstract_inverted_index.populations. | 166 |
| abstract_inverted_index.intervention. | 37 |
| abstract_inverted_index.meta-analysis | 95 |
| abstract_inverted_index.significantly | 109 |
| abstract_inverted_index.psychopathology. | 16 |
| abstract_inverted_index.language-associated | 135 |
| abstract_inverted_index.Resilience-associated | 105 |
| abstract_inverted_index.resilience-associated | 84, 146 |
| abstract_inverted_index.Background/objectives: | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.08625164 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |