Evidence map›Paper›PMID 29748770›Full record

SynthesisBrain imaging and behavior2019

A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder.

Zalina Dezhina, Siri Ranlund, Marinos Kyriakopoulos, Steve C R Williams, Danai Dima

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Global Brain Flexibility During Working Memory Is Reduced in a High-Genetic-Risk Group for Schizophrenia.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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  18. The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2019
    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

5 authors at 2 institutions in 1 country.

Zalina DezhinaDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Siri RanlundDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Marinos KyriakopoulosNational and Specialist Acorn Lodge Inpatient Children Unit, South London and Maudsley NHS Foundation Trust, London, UK.
Steve C R WilliamsDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Danai DimaDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. danai.dima@city.ac.uk.ORCID http://orcid.org/0000-0002-2598-0952
King's College London · GBCity, University of London · GB

Funding

Brain and Behavior Research Foundation 22471Psychiatry Research Trust 92 Branthwaite
6 · The paper itself

Abstract

Genetic factors account for up to 80% of the liability for schizophrenia (SCZ) and bipolar disorder (BD). Genome-wide association studies have successfully identified several genes associated with increased risk for both disorders. This has allowed researchers to model the aggregate effect of genes associated with disease status and create a polygenic risk score (PGRS) for each individual. The interest in imaging genetics using PGRS has grown in recent years, with several studies now published. We have conducted a systematic review to examine the effects of PGRS of SCZ, BD and cross psychiatric disorders on brain function and connectivity using fMRI data. Results indicate that the effect of genetic load for SCZ and BD on brain function affects task-related recruitment, with frontal areas having a more prominent role, independent of task. Additionally, the results suggest that the polygenic architecture of psychotic disorders is not regionally confined but impacts on the task-dependent recruitment of multiple brain regions. Future imaging genetics studies with large samples, especially population studies, would be uniquely informative in mapping the spatial distribution of the genetic risk to psychiatric disorders on brain processes during various cognitive tasks and may lead to the discovery of biological pathways that could be crucial in mediating the link between genetic factors and alterations in brain networks.

Indexed as

Bipolar DisorderBrainCognitionFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMultifactorial InheritancePsychotic DisordersRisk FactorsSchizophreniaBipolar disorderCognitionFunctional magnetic resonance imaging (fMRI)Polygenic risk score (PGRS)PsychosisSchizophrenia

Identifiers

PMID29748770
PMCPMC6538577
OpenAlexW2800988112

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.