Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function.
Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function.
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DOI:
10.1016/j.scog.2022.100252
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发表时间:
2022-09
期刊:
影响因子:
--
通讯作者:
Frangou S
中科院分区:
文献类型:
--
作者:
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
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. 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. 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). 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. A neurosignature of poor social outcome in CHR-P states was detectable in non-clinical samples. This neurosignature predicted subtle cognitive disadvantage in non-clinical sample. The predictive value of CHR-P derived neurosignatures may not generalize to non-clinical samples.
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DOI:
10.1523/jneurosci.1929-08.2008
发表时间:
2008-09-10
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
通讯作者:
Meyer-Lindenberg A
影响因子:
4.5
作者:
Bolt, Luke K.;Amminger, G. Paul;Allott, Kelly A.
通讯作者:
Allott, Kelly A.
影响因子:
25.8
作者:
Catalan, Ana;Salazar de Pablo, Gonzalo;Fusar-Poli, Paolo
通讯作者:
Fusar-Poli, Paolo
影响因子:
25.8
作者:
Fusar-Poli, Paolo;Borgwardt, Stefan;Bechdolf, Andreas;Addington, Jean;Riecher-Rossler, Anita;Schultze-Lutter, Frauke;Keshavan, Matcheri;Wood, Stephen;Ruhrmann, Stephan;Seidman, Larry J.;Valmaggia, Lucia;Cannon, Tyrone;Velthorst, Eva;De Haan, Lieuwe;Cornblatt, Barbara;Bonoldi, Ilaria;Birchwood, Max;McGlashan, Thomas;Carpenter, William;McGorry, Patrick;Klosterkotter, Joachim;McGuire, Philip;Yung, Alison
通讯作者:
Yung, Alison
影响因子:
25.8
作者:
Koutsouleris, Nikolaos;Kambeitz-Ilankovic, Lana;Borgwardt, Stefan
通讯作者:
Borgwardt, Stefan