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Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders

BACKGROUND: Disorders within the schizophrenia spectrum genetically overlap with bipolar disorder, yet questions remain about shared biological phenotypes. Investigation of brain structure in disease has been enhanced by developments in shape analysis methods that can identify subtle regional surfac...

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Autores principales: Mamah, Daniel, Alpert, Kathryn I., Barch, Deanna M., Csernansky, John G., Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781974/
https://www.ncbi.nlm.nih.gov/pubmed/26977397
http://dx.doi.org/10.1016/j.nicl.2016.02.011
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author Mamah, Daniel
Alpert, Kathryn I.
Barch, Deanna M.
Csernansky, John G.
Wang, Lei
author_facet Mamah, Daniel
Alpert, Kathryn I.
Barch, Deanna M.
Csernansky, John G.
Wang, Lei
author_sort Mamah, Daniel
collection PubMed
description BACKGROUND: Disorders within the schizophrenia spectrum genetically overlap with bipolar disorder, yet questions remain about shared biological phenotypes. Investigation of brain structure in disease has been enhanced by developments in shape analysis methods that can identify subtle regional surface deformations. Our study aimed to identify brain structure surface deformations that were common across related psychiatric disorders, and characterize differences. METHODS: Using the automated FreeSurfer-initiated Large Deformation Diffeomorphic Metric Mapping, we examined volumes and shapes of seven brain structures: hippocampus, amygdala, caudate, nucleus accumbens, putamen, globus pallidus and thalamus. We compared findings in controls (CON; n = 40), and those with schizophrenia (SCZ; n = 52), schizotypal personality disorder (STP; n = 12), psychotic bipolar disorder (P-BP; n = 49) and nonpsychotic bipolar disorder (N-BP; n = 24), aged 15–35. Relationships between morphometric measures and positive, disorganized and negative symptoms were also investigated. RESULTS: Inward deformation was present in the posterior thalamus in SCZ, P-BP and N-BP; and in the subiculum of the hippocampus in SCZ and STP. Most brain structures however showed unique shape deformations across groups. Correcting for intracranial size resulted in volumetric group differences for caudate (p < 0.001), putamen (p < 0.01) and globus pallidus (p < 0.001). Shape analysis showed dispersed patterns of expansion on the basal ganglia in SCZ. Significant clinical relationships with hippocampal, amygdalar and thalamic volumes were observed. CONCLUSIONS: Few similarities in surface deformation patterns were seen across groups, which may reflect differing neuropathologies. Posterior thalamic contraction in SCZ and BP suggest common genetic or environmental antecedents. Surface deformities in SCZ basal ganglia may have been due to antipsychotic drug effects.
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spelling pubmed-47819742016-03-14 Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders Mamah, Daniel Alpert, Kathryn I. Barch, Deanna M. Csernansky, John G. Wang, Lei Neuroimage Clin Regular Article BACKGROUND: Disorders within the schizophrenia spectrum genetically overlap with bipolar disorder, yet questions remain about shared biological phenotypes. Investigation of brain structure in disease has been enhanced by developments in shape analysis methods that can identify subtle regional surface deformations. Our study aimed to identify brain structure surface deformations that were common across related psychiatric disorders, and characterize differences. METHODS: Using the automated FreeSurfer-initiated Large Deformation Diffeomorphic Metric Mapping, we examined volumes and shapes of seven brain structures: hippocampus, amygdala, caudate, nucleus accumbens, putamen, globus pallidus and thalamus. We compared findings in controls (CON; n = 40), and those with schizophrenia (SCZ; n = 52), schizotypal personality disorder (STP; n = 12), psychotic bipolar disorder (P-BP; n = 49) and nonpsychotic bipolar disorder (N-BP; n = 24), aged 15–35. Relationships between morphometric measures and positive, disorganized and negative symptoms were also investigated. RESULTS: Inward deformation was present in the posterior thalamus in SCZ, P-BP and N-BP; and in the subiculum of the hippocampus in SCZ and STP. Most brain structures however showed unique shape deformations across groups. Correcting for intracranial size resulted in volumetric group differences for caudate (p < 0.001), putamen (p < 0.01) and globus pallidus (p < 0.001). Shape analysis showed dispersed patterns of expansion on the basal ganglia in SCZ. Significant clinical relationships with hippocampal, amygdalar and thalamic volumes were observed. CONCLUSIONS: Few similarities in surface deformation patterns were seen across groups, which may reflect differing neuropathologies. Posterior thalamic contraction in SCZ and BP suggest common genetic or environmental antecedents. Surface deformities in SCZ basal ganglia may have been due to antipsychotic drug effects. Elsevier 2016-02-23 /pmc/articles/PMC4781974/ /pubmed/26977397 http://dx.doi.org/10.1016/j.nicl.2016.02.011 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Mamah, Daniel
Alpert, Kathryn I.
Barch, Deanna M.
Csernansky, John G.
Wang, Lei
Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title_full Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title_fullStr Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title_full_unstemmed Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title_short Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
title_sort subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781974/
https://www.ncbi.nlm.nih.gov/pubmed/26977397
http://dx.doi.org/10.1016/j.nicl.2016.02.011
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