Evidence map›Paper›PMID 22925372›Full record

ArticlePsychiatry research2012

Patterns of deficits in brain function in bipolar disorder and schizophrenia: a cluster analytic study.

Mei-Hua Hall, Jordan W Smoller, Nancy R Cook, Katja Schulze, Phil Hyoun Lee, Grantley Taylor, Elvira Bramon, Michael J Coleman, Robin M Murray, Dean F Salisbury and 1 more

Abstract read
In one paragraph

Article in Psychiatry research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  8. Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020
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  16. Genomewide association analyses of electrophysiological endophenotypes for schizophrenia and psychotic bipolar disorders: a preliminary report.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2015
    Article
  17. Article
  18. Neurophysiologic effect of GWAS derived schizophrenia and bipolar risk variants.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014
    Article
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

11 authors.

Mei-Hua HallPsychology Research Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, USA. mhall@mclean.harvard.edu
Jordan W Smoller
Nancy R Cook
Katja Schulze
Phil Hyoun Lee
Grantley Taylor
Elvira Bramon
Michael J Coleman
Robin M Murray
Dean F Salisbury
Deborah L Levy

Funding

Using Genetics to Dissect Schizhoprenia, Bipolar Disorder, and DepressionR01MH079799 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2007 to 2011
$2.9M
PLEIOTROPIC EFFECTS OF GENES LINKED TO SCHIZOPHRENIAR01MH071523 · NIMH · MCLEAN HOSPITAL · PI LEVY, DEBORAH L · 2006 to 2010
$2.9M
Brain Activity and Language Comprehension in PsychosisR01MH058704 · NIMH · MC LEAN HOSPITAL (BELMONT, MA) · PI SALISBURY, DEAN F · 2001 to 2010
$2.5M
Research and Mentoring on Integrating Psychiatric Genetics and NeuroscienceK24MH094614 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2012 to 2016
$925k
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS ErK01MH086714 · NIMH · MCLEAN HOSPITAL · PI HALL, MEI-HUA · 2010 to 2014
$692k
Department of Health PDA/02/06/016Medical Research Council G0901310NIMH NIH HHS 1K01MH086714NIMH NIH HHS 5R01MH071523NIMH NIH HHS K01 MH086714NIMH NIH HHS K24 MH094614NIMH NIH HHS K24MH094614NIMH NIH HHS MH58704NIMH NIH HHS R01 MH058704NIMH NIH HHS R01 MH071523NIMH NIH HHS R01 MH079799NIMH NIH HHS R01MH079799
6 · The paper itself

Abstract

Historically, bipolar disorder and schizophrenia have been considered distinct disorders with different etiologies. Growing evidence suggests that overlapping genetic influences contribute to risk for these disorders and that each disease is genetically heterogeneous. Using cluster analytic methods, we empirically identified homogeneous subgroups of patients, their relatives, and controls based on distinct neurophysiologic profiles. Seven phenotypes were collected from two independent cohorts at two institutions. K-means clustering was used to identify neurophysiologic profiles. In the analysis of all participants, three distinct profiles emerged: "globally impaired", "sensory processing", and "high cognitive". In a secondary analysis, restricted to patients only, we observed a similar clustering into three profiles. The neurophysiological profiles of the Schizophrenia (SZ) and Bipolar Disorder (BPD) patients did not support the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic distinction between these two disorders. Smokers in the globally impaired group smoked significantly more cigarettes than those in the sensory processing or high cognitive groups. Our results suggest that empirical analyses of neurophysiological phenotypes can identify potentially biologically relevant homogenous subgroups independent of diagnostic boundaries. We hypothesize that each neurophysiology subgroup may share similar genotypic profiles, which may increase statistical power to detect genetic risk factors.

Indexed as

Acoustic StimulationAdultBipolar DisorderBrainBrain MappingCluster AnalysisElectroencephalographyEvoked Potentials, AuditoryFemaleHumansMaleMiddle AgedNeuropsychological TestsSchizophreniaSensory Gating

Identifiers

PMID22925372
PMCPMC3535009

What OpenQuestion holds

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Registered trials

None linked

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.