Evidence map›Paper›PMID 26885824›Full record

ArticlePloS one2016

Altered Cortico-Striatal Connectivity in Offspring of Schizophrenia Patients Relative to Offspring of Bipolar Patients and Controls.

Cristina Solé-Padullés, Josefina Castro-Fornieles, Elena de la Serna, Soledad Romero, Anna Calvo, Vanessa Sánchez-Gistau, Marta Padrós-Fornieles, Inmaculada Baeza, Núria Bargalló, Sophia Frangou and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Functional Connectivity of the Striatum in Schizophrenia and Psychotic Bipolar Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Neurobiology of Risk for Bipolar Disorder.Current treatment options in psychiatry · 2016
    Review
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 at 4 institutions in 2 countries.

Cristina Solé-PadullésAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Josefina Castro-FornielesAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Elena de la SernaBiomedical Research Networking Centre Consortium (CIBERSAM), Barcelona, Spain.
Soledad RomeroAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Anna CalvoAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Vanessa Sánchez-GistauAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Marta Padrós-FornielesDepartment of Child and Adolescent Psychiatry and Psychology, SGR489, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.
Inmaculada BaezaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Núria BargallóBiomedical Research Networking Centre Consortium (CIBERSAM), Barcelona, Spain.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, United States of America.
Gisela SugranyesAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Centro de Investigación Biomédica en Red de Salud Mental · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESHospital Clínic de Barcelona · ESIcahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SZ) and bipolar disorder (BD) share clinical features, genetic risk factors and neuroimaging abnormalities. There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reorganization during youth coinciding with the period of increased incidence for both disorders. We therefore focused on characterizing resting state network connectivity in youth at familial risk for SZ or BD to identify alterations arising during this period. We measured resting-state functional connectivity in a sample of 106 youth, aged 7-19 years, comprising offspring of patients with SZ (N = 27), offspring of patients with BD (N = 39) and offspring of community control parents (N = 40). We used Independent Component Analysis to assess functional connectivity within the default mode, executive control, salience and basal ganglia networks and define their relationship to grey matter volume, clinical and cognitive measures. There was no difference in connectivity within any of the networks examined between offspring of patients with BD and offspring of community controls. In contrast, offspring of patients with SZ showed reduced connectivity within the left basal ganglia network compared to control offspring, and they showed a positive correlation between connectivity in this network and grey matter volume in the left caudate. Our findings suggest that dysconnectivity in the basal ganglia network is a robust correlate of familial risk for SZ and can be detected during childhood and adolescence.

Indexed as

AdolescentAdultBasal GangliaBipolar DisorderCase-Control StudiesChildCluster AnalysisCognitionCorpus StriatumDemographyFemaleGray MatterHumansMaleMiddle AgedNeocortex

Identifiers

PMID26885824
PMCPMC4757444
OpenAlexW2281787360

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.