Evidence map›Paper›PMID 25089761›Full record

ArticlePsychological medicine2015

Shared white-matter dysconnectivity in schizophrenia and bipolar disorder with psychosis.

J Kumar, S Iwabuchi, S Oowise, V Balain, L Palaniyappan, P F Liddle

Abstract read
In one paragraph

Article in Psychological medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Association of default-mode network neurotransmitters and inter-network functional connectivity in first episode psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

J KumarTranslational Neuroimaging, Division of Psychiatry,Institute of Mental Health, University of Nottingham,Nottingham,UK.
S IwabuchiTranslational Neuroimaging, Division of Psychiatry,Institute of Mental Health, University of Nottingham,Nottingham,UK.
S OowiseThe Forensic Hospital, Justice and Forensic Mental Health Network,Sydney,Australia.
V BalainNottinghamshire Healthcare NHS Trust,Nottingham,UK.
L PalaniyappanTranslational Neuroimaging, Division of Psychiatry,Institute of Mental Health, University of Nottingham,Nottingham,UK.
P F LiddleTranslational Neuroimaging, Division of Psychiatry,Institute of Mental Health, University of Nottingham,Nottingham,UK.

Funding

Medical Research Council G0601442Wellcome Trust 096002Wellcome Trust WT096002/Z/11/Z
6 · The paper itself

Abstract

backgroundThere is an appreciable overlap in the clinical presentation, epidemiology and treatment response of the two major psychotic disorders - schizophrenia and bipolar disorder. Nevertheless, the shared neurobiological correlates of these two disorders are still elusive. Using diffusion tensor imaging (DTI), we sought to identify brain regions which share altered white-matter connectivity across a clinical spectrum of psychotic disorders.

methodA sample of 41 healthy controls, 62 patients in a clinically stable state of an established psychotic disorder (40 with schizophrenia, 22 with bipolar disorder) were studied using DTI. Tract-based spatial statistics (TBSS) was used in order to study group differences between patients with psychosis and healthy controls using fractional anisotropy (FA). Probabilistic tractography was used in order to visualize the clusters that showed significant differences between these two groups.

resultsThe TBSS analysis revealed five clusters (callosal, posterior thalamic/optic, paralimbic, fronto-occipital) with reduced FA in psychosis. This reduction in FA was associated with an increase in radial diffusivity and a decrease in mode of anisotropy. Factor analysis revealed a single white-matter integrity factor that predicted social and occupational functioning scores in patients irrespective of the diagnostic categorization.

conclusionsOur results show that a shared white-matter dysconnectivity links the two major psychotic disorders. These microstructural abnormalities predict functional outcome better than symptom-based diagnostic boundaries during a clinically stable phase of illness, highlighting the importance of seeking shared neurobiological factors that underlie the clinical spectrum of psychosis.

Indexed as

AdultBipolar DisorderDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedNerve NetPsychotic DisordersSchizophreniaWhite Matterschizophrenia

Identifiers

PMID25089761
PMCPMC4556063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.