ReviewEpidemiology and psychiatric sciences2017
Exploring the neuroanatomical bases of psychotic features in bipolar disorder.
Review in Epidemiology and psychiatric sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Cerebral glucose metabolism in bipolar disorder: A voxel-based meta-analysis of positron emission tomography studies.Brain and behavior · 2021Pooled it
- Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysisJournal of psychiatry & neuroscience : JPN · 2019Pooled it
- Gray matter bases of psychotic features in adult bipolar disorder: A systematic review and voxel-based meta-analysis of neuroimaging studies.Human brain mapping · 2018Pooled it
- Brain Age Disparities in Psychosis Across DSM Diagnoses and B-SNIP Biotypes.Schizophrenia bulletin · 2026Article
- White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls - exploring associations with disease course and polygenic risk.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Altered spatiotemporal consistency in pediatric bipolar disorder patients with and without psychotic symptoms.BMC psychiatry · 2021Article
- Person-based similarity in brain structure and functional connectivity in bipolar disorder.Journal of affective disorders · 2020Article
- Risk of schizophrenia, schizoaffective, and bipolar disorders by migrant status, region of origin, and age-at-migration: a national cohort study of 1.8 million people.Psychological medicine · 2019Article
- Similar white matter changes in schizophrenia and bipolar disorder: A tract-based spatial statistics study.PloS one · 2017Article
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Authors and funding
3 authors.
Funding
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Abstract
Although bipolar disorder (BD) is traditionally conceptualised as one diagnostic entity, the heterogeneity of pathophysiological manifestations in BD suggests the need to classify the subtypes of the illness based on neural markers. Specifically, the presence of psychotic symptoms seems to be relevant for the clinical outcome and may have specific neuroanatomical bases. The main objective of the present review was to assess whether the distinction between psychotic BD (PBD) and non-psychotic BD (NPBD) can improve the identification of the neurobiological markers of this complex illness. To this end, we summarised the findings from the magnetic resonance imaging studies that explored the cerebral correlates of psychosis in BD in terms of grey matter volume (GMV). Overall, the results suggest the presence of peculiar GMV differences between PBD and NPBD. Specifically, psychosis in BD seems to be associated with cortical GMV deficits compared with both healthy controls and NPBD, mainly in the frontal region. Conversely, NPBD patients showed GMV deficits in selective regions of the basal ganglia when compared with the other groups. Taken together, this evidence confirms the importance to classify BD based on the psychotic dimension, which may have a specific neurobiological architecture that partially overlaps across multiple psychotic disorders.
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