Neuroanatomical Maps of Psychosis Onset: Voxel-wise Meta-Analysis of Antipsychotic-Naive VBM Studies

Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of...

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Published inSchizophrenia bulletin Vol. 38; no. 6; pp. 1297 - 1307
Main Authors Fusar-Poli, P., Radua, J., McGuire, P., Borgwardt, S.
Format Journal Article
LanguageEnglish
Published Oxford Oxford University Press 01.11.2012
Subjects
Online AccessGet full text
ISSN0586-7614
1745-1701
1745-1707
1745-1701
DOI10.1093/schbul/sbr134

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Abstract Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of confounders such as exposure to antipsychotic treatment. Fourteen voxel-based morphometry studies of antipsychotic-naive subjects at enhanced clinical risk for psychosis (high risk [HR]) or experiencing a first-episode psychosis (FEP) were included. Formal meta-analysis of effect sizes and "signed differential mapping" voxel-based meta-analysis were combined to control the results for sample sizes, strength of individual findings, and confounding variables. Formal effect size meta-analysis indicated consistent gray matter (GM) reductions both in subjects at enhanced clinical risk for psychosis and in first-episode subjects when compared with control groups. Voxel-based meta-analysis showed GM reductions in the temporal, limbic prefrontal cortex within the HR group and in the temporal insular cortex and cerebellum within the FEP group. Psychosis onset was characterized by GM decreases in temporal, anterior cingulate, cerebellar, and insular regions. GM alterations in the temporal regions directly related to severity of psychotic symptoms. There was no publication bias. Heterogeneity across studies was low. Sensitivity analyses confirmed robustness of the above results. Vulnerability to psychosis is associated with consistent GM decreases in prefrontal and temporolimbic areas. The onset of full disease is accompanied by temporoinsular, anterior cingulate, and cerebellar GM reductions. Neuroanatomical alterations in temporal regions may underlie the clinical onset of psychotic symptoms.
AbstractList Background: Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of confounders such as exposure to antipsychotic treatment. Methods: Fourteen voxel-based morphometry studies of antipsychotic-naive subjects at enhanced clinical risk for psychosis (high risk [HR]) or experiencing a first-episode psychosis (FEP) were included. Formal meta-analysis of effect sizes and "signed differential mapping" voxel-based meta-analysis were combined to control the results for sample sizes, strength of individual findings, and confounding variables. Results: Formal effect size meta-analysis indicated consistent gray matter (GM) reductions both in subjects at enhanced clinical risk for psychosis and in first-episode subjects when compared with control groups. Voxel-based meta-analysis showed GM reductions in the temporal, limbic prefrontal cortex within the HR group and in the temporal insular cortex and cerebellum within the FEP group. Psychosis onset was characterized by GM decreases in temporal, anterior cingulate, cerebellar, and insular regions. GM alterations in the temporal regions directly related to severity of psychotic symptoms. There was no publication bias. Heterogeneity across studies was low. Sensitivity analyses confirmed robustness of the above results. Conclusions: Vulnerability to psychosis is associated with consistent GM decreases in prefrontal and temporolimbic areas. The onset of full disease is accompanied by temporoinsular, anterior cingulate, and cerebellar GM reductions. Neuroanatomical alterations in temporal regions may underlie the clinical onset of psychotic symptoms.
Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of confounders such as exposure to antipsychotic treatment. Fourteen voxel-based morphometry studies of antipsychotic-naive subjects at enhanced clinical risk for psychosis (high risk [HR]) or experiencing a first-episode psychosis (FEP) were included. Formal meta-analysis of effect sizes and "signed differential mapping" voxel-based meta-analysis were combined to control the results for sample sizes, strength of individual findings, and confounding variables. Formal effect size meta-analysis indicated consistent gray matter (GM) reductions both in subjects at enhanced clinical risk for psychosis and in first-episode subjects when compared with control groups. Voxel-based meta-analysis showed GM reductions in the temporal, limbic prefrontal cortex within the HR group and in the temporal insular cortex and cerebellum within the FEP group. Psychosis onset was characterized by GM decreases in temporal, anterior cingulate, cerebellar, and insular regions. GM alterations in the temporal regions directly related to severity of psychotic symptoms. There was no publication bias. Heterogeneity across studies was low. Sensitivity analyses confirmed robustness of the above results. Vulnerability to psychosis is associated with consistent GM decreases in prefrontal and temporolimbic areas. The onset of full disease is accompanied by temporoinsular, anterior cingulate, and cerebellar GM reductions. Neuroanatomical alterations in temporal regions may underlie the clinical onset of psychotic symptoms.
Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of confounders such as exposure to antipsychotic treatment.BACKGROUNDDespite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value of psychosis transition. Available structural imaging literature in the field is undermined by several methodological caveats and a number of confounders such as exposure to antipsychotic treatment.Fourteen voxel-based morphometry studies of antipsychotic-naive subjects at enhanced clinical risk for psychosis (high risk [HR]) or experiencing a first-episode psychosis (FEP) were included. Formal meta-analysis of effect sizes and "signed differential mapping" voxel-based meta-analysis were combined to control the results for sample sizes, strength of individual findings, and confounding variables.METHODSFourteen voxel-based morphometry studies of antipsychotic-naive subjects at enhanced clinical risk for psychosis (high risk [HR]) or experiencing a first-episode psychosis (FEP) were included. Formal meta-analysis of effect sizes and "signed differential mapping" voxel-based meta-analysis were combined to control the results for sample sizes, strength of individual findings, and confounding variables.Formal effect size meta-analysis indicated consistent gray matter (GM) reductions both in subjects at enhanced clinical risk for psychosis and in first-episode subjects when compared with control groups. Voxel-based meta-analysis showed GM reductions in the temporal, limbic prefrontal cortex within the HR group and in the temporal insular cortex and cerebellum within the FEP group. Psychosis onset was characterized by GM decreases in temporal, anterior cingulate, cerebellar, and insular regions. GM alterations in the temporal regions directly related to severity of psychotic symptoms. There was no publication bias. Heterogeneity across studies was low. Sensitivity analyses confirmed robustness of the above results.RESULTSFormal effect size meta-analysis indicated consistent gray matter (GM) reductions both in subjects at enhanced clinical risk for psychosis and in first-episode subjects when compared with control groups. Voxel-based meta-analysis showed GM reductions in the temporal, limbic prefrontal cortex within the HR group and in the temporal insular cortex and cerebellum within the FEP group. Psychosis onset was characterized by GM decreases in temporal, anterior cingulate, cerebellar, and insular regions. GM alterations in the temporal regions directly related to severity of psychotic symptoms. There was no publication bias. Heterogeneity across studies was low. Sensitivity analyses confirmed robustness of the above results.Vulnerability to psychosis is associated with consistent GM decreases in prefrontal and temporolimbic areas. The onset of full disease is accompanied by temporoinsular, anterior cingulate, and cerebellar GM reductions. Neuroanatomical alterations in temporal regions may underlie the clinical onset of psychotic symptoms.CONCLUSIONSVulnerability to psychosis is associated with consistent GM decreases in prefrontal and temporolimbic areas. The onset of full disease is accompanied by temporoinsular, anterior cingulate, and cerebellar GM reductions. Neuroanatomical alterations in temporal regions may underlie the clinical onset of psychotic symptoms.
Author Borgwardt, S.
McGuire, P.
Radua, J.
Fusar-Poli, P.
AuthorAffiliation 1 Psychosis Clinical Academic Group, Department of Psychosis Studies, Institute of Psychiatry, King’s College London, 16 De Crespigny Park, London SE58AF, UK
2 Psychiatric Outpatient Department, University Hospital Basel, Basel, Switzerland
AuthorAffiliation_xml – name: 2 Psychiatric Outpatient Department, University Hospital Basel, Basel, Switzerland
– name: 1 Psychosis Clinical Academic Group, Department of Psychosis Studies, Institute of Psychiatry, King’s College London, 16 De Crespigny Park, London SE58AF, UK
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Issue 6
Keywords Human
Neuroimaging
VBM
Cartography
High risk
Dopamine
MRI
Schizophrenia
Prodrome
Review
Catecholamine
Nuclear magnetic resonance imaging
prodromal
Metaanalysis
Psychosis
First episode
Neurotransmitter
Medical imagery
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  ident: 59_34545749
  publication-title: Brain research. Brain research reviews
  doi: 10.1016/j.brainresrev.2009.03.004
– volume: 15
  start-page: 2535
  issn: 1381-6128
  issue: 22
  year: 2009
  ident: 17_35485669
  publication-title: Current pharmaceutical design
  doi: 10.2174/138161209788957456
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Snippet Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the predictive value...
Background: Despite impressive advancements in early interventions in psychosis, there is an urgent need of robust neurobiological markers to improve the...
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SubjectTerms Adolescent
Adult
Adult and adolescent clinical studies
Biological and medical sciences
Brain - pathology
Cerebellum - pathology
Female
Gyrus Cinguli - pathology
Humans
Magnetic Resonance Imaging
Male
Medical sciences
Nerve Fibers, Unmyelinated - pathology
Organ Size
Prodromal Symptoms
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Psychoses
Psychotic Disorders - pathology
Regular
Schizophrenia
Sensitivity and Specificity
Temporal Lobe - pathology
Time Factors
Title Neuroanatomical Maps of Psychosis Onset: Voxel-wise Meta-Analysis of Antipsychotic-Naive VBM Studies
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https://pubmed.ncbi.nlm.nih.gov/PMC3494061
https://academic.oup.com/schizophreniabulletin/article-pdf/38/6/1297/5256675/sbr134.pdf
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