Evidence map›Paper›PMID 23932148›Full record

ReviewSchizophrenia research2014

Self-disturbances as a possible premorbid indicator of schizophrenia risk: a neurodevelopmental perspective.

Benjamin K Brent, Larry J Seidman, Heidi W Thermenos, Daphne J Holt, Matcheri S Keshavan

Abstract readReview
In one paragraph

Review in Schizophrenia research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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  7. Article
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  9. Article
  10. Observational
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  13. Christianity and Schizophrenia Redux: An Empirical Study.Journal of religion and health · 2020
    Article
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  17. Review
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  19. The concept of basic symptoms: its scientific and clinical relevance.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2017
    Article
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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

5 authors.

Benjamin K BrentDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: bbrent@bidmc.harvard.edu.
Larry J SeidmanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Heidi W ThermenosDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Daphne J HoltDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Matcheri S KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

Harvard Clinical and Translational Science Center (KL2)KL2RR025757 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$4.1M
NCRR NIH HHS KL2 RR 025757NCRR NIH HHS KL2 RR025757NIMH NIH HHS L30 MH091727PHS HHS K02 01180PHS HHS R01 64023PHS HHS R01 78113
6 · The paper itself

Abstract

Self-disturbances (SDs) are increasingly identified in schizophrenia and are theorized to confer vulnerability to psychosis. Neuroimaging research has shed some light on the neural correlates of SDs in schizophrenia. But, the onset and trajectory of the neural alterations underlying SDs in schizophrenia remain incompletely understood. We hypothesize that the aberrant structure and function of brain areas (e.g., prefrontal, lateral temporal, and parietal cortical structures) comprising the "neural circuitry of self" may represent an early, premorbid (i.e., pre-prodromal) indicator of schizophrenia risk. Consistent with neurodevelopmental models, we argue that "early" (i.e., perinatal) dysmaturational processes (e.g., abnormal cortical neural cell migration and mini-columnar formation) affecting key prefrontal (e.g., medial prefrontal cortex), lateral temporal cortical (e.g., superior temporal sulcus), and parietal (e.g., inferior parietal lobule) structures involved in self-processing may lead to subtle disruptions of "self" during childhood in persons at risk for schizophrenia. During adolescence, progressive neurodevelopmental alterations (e.g., aberrant synaptic pruning) affecting the neural circuitry of self may contribute to worsening of SDs. This could result in the emergence of prodromal symptoms and, eventually, full-blown psychosis. To highlight why adolescence may be a period of heightened risk for SDs, we first summarize the literature regarding the neural correlates of self in typically developing children. Next, we present evidence from neuroimaging studies in genetic high-risk youth suggesting that fronto-temporal-parietal structures mediating self-reflection may be abnormal in the premorbid period. Our goal is that the ideas presented here might provide future directions for research into the neurobiology of SDs during the pre-psychosis development of youth at risk for schizophrenia.

Indexed as

Schizophrenic PsychologySelf ConceptBrainHumansPsychotic DisordersSchizophreniaGenetic high-riskNeurodevelopmentPremorbidSchizophreniaSelf-disturbances

Identifiers

PMID23932148
PMCPMC3877695

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.