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Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods

INTRODUCTION: This study was carried out to map psychosis spectrum disorder risk factors. OBJECTIVES: Our goal was to find what kind of instrumental methods may help to detect latent liabilities for schizophrenia and bipolar affective disorder METHODS: Using online questionnaires n=710 students were...

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Autores principales: Szendi Md Habil, I., Bagi, A., Szalóki, S., Hallgató, E., Domján, N., Kanka, A., Gál, B., Karcher, É., Pásztor, H., Jenei, T., Bóna, O., Kovács, C., Pejin, A., Daróczy, J., Diósi, Á., Pajkossy, P., Polner, B., Demeter, G., Racsmány, M., Baradits, M., Búzás, A., Dér, A., Gingl, Z., Gyimóthi, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567524/
http://dx.doi.org/10.1192/j.eurpsy.2022.1758
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author Szendi Md Habil, I.
Bagi, A.
Szalóki, S.
Hallgató, E.
Domján, N.
Kanka, A.
Gál, B.
Karcher, É.
Pásztor, H.
Jenei, T.
Bóna, O.
Kovács, C.
Pejin, A.
Daróczy, J.
Diósi, Á.
Pajkossy, P.
Polner, B.
Demeter, G.
Racsmány, M.
Baradits, M.
Búzás, A.
Dér, A.
Gingl, Z.
Gyimóthi, T.
author_facet Szendi Md Habil, I.
Bagi, A.
Szalóki, S.
Hallgató, E.
Domján, N.
Kanka, A.
Gál, B.
Karcher, É.
Pásztor, H.
Jenei, T.
Bóna, O.
Kovács, C.
Pejin, A.
Daróczy, J.
Diósi, Á.
Pajkossy, P.
Polner, B.
Demeter, G.
Racsmány, M.
Baradits, M.
Búzás, A.
Dér, A.
Gingl, Z.
Gyimóthi, T.
author_sort Szendi Md Habil, I.
collection PubMed
description INTRODUCTION: This study was carried out to map psychosis spectrum disorder risk factors. OBJECTIVES: Our goal was to find what kind of instrumental methods may help to detect latent liabilities for schizophrenia and bipolar affective disorder METHODS: Using online questionnaires n=710 students were screened. Groups were formed based on the inclusion criteria: N = 25 people prone to mood swings, N = 30 people prone to odd experiences and delusive thinking, and a normal control group with N = 30 people. Personality, temperament, self-experiences, affectivity scales, and cognitive screening were conducted in addition to actigraphy coupled with a mobile application for detecting subjective experiences (EMA). Furthermore, instrumental examination of self-agency, testing time interval discrimination and (re)production, eye-tracking, EEG-microstates, and laboratory testing of inflammatory, immunologic and cardio-metabolic measures of allostatic load were applied. RESULTS: Self-experience disorders: both risk groups showed significantly higher scores than the control group (CG). Self-agency: based on incorrectly attributed responses, the positive schizotypy risk factor (PSF) group differed from the CG (p = 0.003). Antisaccade study: the PSF group showed a difference from the CG (p = 0.002). Actigraphy: based on the distributions of diurnal cumulative activities, it distinguished those with a cyclothymic risk factor (CTF) from the CG (67% probability in the k-means clustering procedure). CONCLUSIONS: Healthy students with a latent liability for schizotypy or bipolarity could be distinguished by some targeted laboratory methods. Susceptibility for bipolarity was indicated by actigraphic analyzes, and the risk for schizotypal development was indicated by deficiencies in the self-agency experience and by anti-saccadic eye movement disorders. DISCLOSURE: No significant relationships.
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spelling pubmed-95675242022-10-17 Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods Szendi Md Habil, I. Bagi, A. Szalóki, S. Hallgató, E. Domján, N. Kanka, A. Gál, B. Karcher, É. Pásztor, H. Jenei, T. Bóna, O. Kovács, C. Pejin, A. Daróczy, J. Diósi, Á. Pajkossy, P. Polner, B. Demeter, G. Racsmány, M. Baradits, M. Búzás, A. Dér, A. Gingl, Z. Gyimóthi, T. Eur Psychiatry Abstract INTRODUCTION: This study was carried out to map psychosis spectrum disorder risk factors. OBJECTIVES: Our goal was to find what kind of instrumental methods may help to detect latent liabilities for schizophrenia and bipolar affective disorder METHODS: Using online questionnaires n=710 students were screened. Groups were formed based on the inclusion criteria: N = 25 people prone to mood swings, N = 30 people prone to odd experiences and delusive thinking, and a normal control group with N = 30 people. Personality, temperament, self-experiences, affectivity scales, and cognitive screening were conducted in addition to actigraphy coupled with a mobile application for detecting subjective experiences (EMA). Furthermore, instrumental examination of self-agency, testing time interval discrimination and (re)production, eye-tracking, EEG-microstates, and laboratory testing of inflammatory, immunologic and cardio-metabolic measures of allostatic load were applied. RESULTS: Self-experience disorders: both risk groups showed significantly higher scores than the control group (CG). Self-agency: based on incorrectly attributed responses, the positive schizotypy risk factor (PSF) group differed from the CG (p = 0.003). Antisaccade study: the PSF group showed a difference from the CG (p = 0.002). Actigraphy: based on the distributions of diurnal cumulative activities, it distinguished those with a cyclothymic risk factor (CTF) from the CG (67% probability in the k-means clustering procedure). CONCLUSIONS: Healthy students with a latent liability for schizotypy or bipolarity could be distinguished by some targeted laboratory methods. Susceptibility for bipolarity was indicated by actigraphic analyzes, and the risk for schizotypal development was indicated by deficiencies in the self-agency experience and by anti-saccadic eye movement disorders. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567524/ http://dx.doi.org/10.1192/j.eurpsy.2022.1758 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Szendi Md Habil, I.
Bagi, A.
Szalóki, S.
Hallgató, E.
Domján, N.
Kanka, A.
Gál, B.
Karcher, É.
Pásztor, H.
Jenei, T.
Bóna, O.
Kovács, C.
Pejin, A.
Daróczy, J.
Diósi, Á.
Pajkossy, P.
Polner, B.
Demeter, G.
Racsmány, M.
Baradits, M.
Búzás, A.
Dér, A.
Gingl, Z.
Gyimóthi, T.
Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title_full Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title_fullStr Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title_full_unstemmed Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title_short Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
title_sort premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567524/
http://dx.doi.org/10.1192/j.eurpsy.2022.1758
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