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Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis

BACKGROUND: The corpus callosum (CC) is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres. AIMS: Our study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patien...

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Autores principales: Türk, Yaşar, Ercan, Ilker, Sahin, Ibrahim, Erdemli Gursel, Basak, Uzunoglu, Arda, Öge, Cem, Beyazyüz, Elmas, Albayrak, Yakup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638449/
https://www.ncbi.nlm.nih.gov/pubmed/34950854
http://dx.doi.org/10.1136/gpsych-2021-100635
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author Türk, Yaşar
Ercan, Ilker
Sahin, Ibrahim
Erdemli Gursel, Basak
Uzunoglu, Arda
Öge, Cem
Beyazyüz, Elmas
Albayrak, Yakup
author_facet Türk, Yaşar
Ercan, Ilker
Sahin, Ibrahim
Erdemli Gursel, Basak
Uzunoglu, Arda
Öge, Cem
Beyazyüz, Elmas
Albayrak, Yakup
author_sort Türk, Yaşar
collection PubMed
description BACKGROUND: The corpus callosum (CC) is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres. AIMS: Our study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patients with schizophrenia (SZ) (deficit syndrome (DS) and non-deficit syndrome (NDS)) and healthy control (HC) subjects. METHODS: This study consisted of 27 HC subjects and 50 schizophrenic patients (20 with DS and 30 with NDS). 3 patients with DS and 4 patients with NDS were excluded. Three-dimensional, sagittal, T1-spoiled, gradient-echo imaging was used. Standard anatomical landmarks were selected and marked on each image using specific software. RESULTS: As to comparing the Procrustes mean shapes of the CC, statistically significant differences were observed between HC and SZ (DS+NDS) (p=0.017, James’s F(j)=73.732), HC and DS (p<0.001, James’s F(j)=140.843), HC and NDS (p=0.006, James’s F(j)=89.178) and also DS and NDS (p<0.001, James’s F(j)=152.967). Shape variability in the form of CC was 0.131, 0.085, 0.082 and 0.086 in the HC, SZ (DS+NDS), DS and NDS groups, respectively. CONCLUSIONS: This study reveals callosal shape variations in patients with SZ and their DS and NDS subgroups that take into account the CC’s topographic distribution.
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spelling pubmed-86384492021-12-22 Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis Türk, Yaşar Ercan, Ilker Sahin, Ibrahim Erdemli Gursel, Basak Uzunoglu, Arda Öge, Cem Beyazyüz, Elmas Albayrak, Yakup Gen Psychiatr Original Research BACKGROUND: The corpus callosum (CC) is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres. AIMS: Our study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patients with schizophrenia (SZ) (deficit syndrome (DS) and non-deficit syndrome (NDS)) and healthy control (HC) subjects. METHODS: This study consisted of 27 HC subjects and 50 schizophrenic patients (20 with DS and 30 with NDS). 3 patients with DS and 4 patients with NDS were excluded. Three-dimensional, sagittal, T1-spoiled, gradient-echo imaging was used. Standard anatomical landmarks were selected and marked on each image using specific software. RESULTS: As to comparing the Procrustes mean shapes of the CC, statistically significant differences were observed between HC and SZ (DS+NDS) (p=0.017, James’s F(j)=73.732), HC and DS (p<0.001, James’s F(j)=140.843), HC and NDS (p=0.006, James’s F(j)=89.178) and also DS and NDS (p<0.001, James’s F(j)=152.967). Shape variability in the form of CC was 0.131, 0.085, 0.082 and 0.086 in the HC, SZ (DS+NDS), DS and NDS groups, respectively. CONCLUSIONS: This study reveals callosal shape variations in patients with SZ and their DS and NDS subgroups that take into account the CC’s topographic distribution. BMJ Publishing Group 2021-12-01 /pmc/articles/PMC8638449/ /pubmed/34950854 http://dx.doi.org/10.1136/gpsych-2021-100635 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Türk, Yaşar
Ercan, Ilker
Sahin, Ibrahim
Erdemli Gursel, Basak
Uzunoglu, Arda
Öge, Cem
Beyazyüz, Elmas
Albayrak, Yakup
Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title_full Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title_fullStr Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title_full_unstemmed Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title_short Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
title_sort corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638449/
https://www.ncbi.nlm.nih.gov/pubmed/34950854
http://dx.doi.org/10.1136/gpsych-2021-100635
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