Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function

Shalaila S. Haas; Gaelle E. Doucet; Mathilde Antoniades; Amirhossein Modabbernia; Cheryl M. Corcoran; René S. Kahn; Joseph Kambeitz; Lana Kambeitz-Ilankovic; Stefan Borgwardt; Paolo Brambilla; Rachel Upthegrove; Stephen J. Wood; Raimo K.R. Salokangas; Jarmo Hietala; Eva Meisenzahl; Nikolaos Koutsouleris; Sophia Frangou

doi:10.1016/j.scog.2022.100252

Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function

Shalaila S. Haas, Gaelle E. Doucet, Mathilde Antoniades, Amirhossein Modabbernia, Cheryl M. Corcoran, René S. Kahn, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Stefan Borgwardt, Paolo Brambilla, Rachel Upthegrove, Stephen J. Wood, Raimo K.R. Salokangas, Jarmo Hietala, Eva Meisenzahl, Nikolaos Koutsouleris, Sophia Frangou^*

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Article › peer-review

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Abstract

Objective: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning.

Methods: We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition.

Results: Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (P_FDR = 0.004) and crystallized intelligence (P_FDR = 0.01), cognitive flexibility (P_FDR = 0.02), inhibitory control (P_FDR = 0.01), working memory (P_FDR = 0.0005), and processing speed (P_FDR = 0.04).

Conclusions: We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.

Original language	English
Article number	100252
Number of pages	8
Journal	Schizophrenia Research: Cognition
Volume	29
Early online date	2 Apr 2022
DOIs	https://doi.org/10.1016/j.scog.2022.100252
Publication status	Published - Sept 2022

Bibliographical note

Funding Information:
PRONIA is a Collaboration Project funded by the European Union under the EU 7th Framework Programme under grant agreement no. 602152 . This work was supported by the National Institute of Mental Health under grant R01MH113619 , R01MH116147 and R01MH107558 , and the National Institute of General Medical Sciences under grant P20GM144641 .

Publisher Copyright:
© 2022 The Authors

Keywords

Clinical high-risk for psychosis
General population
Neuroimaging
Social function
Support vector machine

ASJC Scopus subject areas

Cognitive Neuroscience
Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Haas, S. S., Doucet, G. E., Antoniades, M., Modabbernia, A., Corcoran, C. M., Kahn, R. S., Kambeitz, J., Kambeitz-Ilankovic, L., Borgwardt, S., Brambilla, P., Upthegrove, R., Wood, S. J., Salokangas, R. K. R., Hietala, J., Meisenzahl, E., Koutsouleris, N., & Frangou, S. (2022). Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function. Schizophrenia Research: Cognition, 29, Article 100252. https://doi.org/10.1016/j.scog.2022.100252

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abstract = "Objective: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods: We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results: Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions: We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.",

keywords = "Clinical high-risk for psychosis, General population, Neuroimaging, Social function, Support vector machine",

author = "Haas, {Shalaila S.} and Doucet, {Gaelle E.} and Mathilde Antoniades and Amirhossein Modabbernia and Corcoran, {Cheryl M.} and Kahn, {Ren{\'e} S.} and Joseph Kambeitz and Lana Kambeitz-Ilankovic and Stefan Borgwardt and Paolo Brambilla and Rachel Upthegrove and Wood, {Stephen J.} and Salokangas, {Raimo K.R.} and Jarmo Hietala and Eva Meisenzahl and Nikolaos Koutsouleris and Sophia Frangou",

note = "Funding Information: PRONIA is a Collaboration Project funded by the European Union under the EU 7th Framework Programme under grant agreement no. 602152 . This work was supported by the National Institute of Mental Health under grant R01MH113619 , R01MH116147 and R01MH107558 , and the National Institute of General Medical Sciences under grant P20GM144641 . Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

month = sep,

doi = "10.1016/j.scog.2022.100252",

language = "English",

volume = "29",

journal = "Schizophrenia Research: Cognition",

issn = "2215-0013",

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Haas, SS, Doucet, GE, Antoniades, M, Modabbernia, A, Corcoran, CM, Kahn, RS, Kambeitz, J, Kambeitz-Ilankovic, L, Borgwardt, S, Brambilla, P, Upthegrove, R , Wood, SJ, Salokangas, RKR, Hietala, J, Meisenzahl, E, Koutsouleris, N & Frangou, S 2022, 'Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function', Schizophrenia Research: Cognition, vol. 29, 100252. https://doi.org/10.1016/j.scog.2022.100252

TY - JOUR

T1 - Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function

AU - Haas, Shalaila S.

AU - Doucet, Gaelle E.

AU - Antoniades, Mathilde

AU - Modabbernia, Amirhossein

AU - Corcoran, Cheryl M.

AU - Kahn, René S.

AU - Kambeitz, Joseph

AU - Kambeitz-Ilankovic, Lana

AU - Borgwardt, Stefan

AU - Brambilla, Paolo

AU - Upthegrove, Rachel

AU - Wood, Stephen J.

AU - Salokangas, Raimo K.R.

AU - Hietala, Jarmo

AU - Meisenzahl, Eva

AU - Koutsouleris, Nikolaos

AU - Frangou, Sophia

N1 - Funding Information: PRONIA is a Collaboration Project funded by the European Union under the EU 7th Framework Programme under grant agreement no. 602152 . This work was supported by the National Institute of Mental Health under grant R01MH113619 , R01MH116147 and R01MH107558 , and the National Institute of General Medical Sciences under grant P20GM144641 . Publisher Copyright: © 2022 The Authors

PY - 2022/9

Y1 - 2022/9

N2 - Objective: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods: We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results: Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions: We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.

AB - Objective: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods: We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results: Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions: We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.

KW - Clinical high-risk for psychosis

KW - General population

KW - Neuroimaging

KW - Social function

KW - Support vector machine

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U2 - 10.1016/j.scog.2022.100252

DO - 10.1016/j.scog.2022.100252

M3 - Article

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SN - 2215-0013

VL - 29

JO - Schizophrenia Research: Cognition

JF - Schizophrenia Research: Cognition

M1 - 100252

ER -

Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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