Evidence map›Paper›PMID 18330705›Full record

ArticleAnnals of biomedical engineering2008

Physiogenomic analysis of localized FMRI brain activity in schizophrenia.

Andreas Windemuth, Vince D Calhoun, Godfrey D Pearlson, Mohan Kocherla, Kanchana Jagannathan, Gualberto Ruaño

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Tapping into 5-HTInternational journal of molecular sciences · 2021
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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 at 3 institutions in 1 country.

Andreas WindemuthGenomas, Inc., Hartford, CT, 06106, USA. a.windemuth@genomas.net
Vince D Calhoun
Godfrey D Pearlson
Mohan Kocherla
Kanchana Jagannathan
Gualberto Ruaño
Genomas (United States) · USYale University · USHartford Financial Services (United States)

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Quantitative Neuroimaging in Psychosis; DTI StudiesR37MH043775 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2005 to 2012
$4.8M
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
QUANTITATIVE STRUCTURAL NEUROIMAGING IN PSYCHOSISR01MH043775 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PEARLSON, GODFREY D · 1988 to 2003
$2.4M
SCHIZOPHRENIA: SEX DIFFERENCES IN BRAIN ABNORMALITIESR01MH052886 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PEARLSON, GODFREY D · 1996 to 2004
$2.1M
AGING, BRAIN IMAGING AND COGNITIONR01MH060504 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PEARLSON, GODFREY D · 1999 to 2003
$1.9M
MRI DNA Biomarkers for Neuropsychiatric DiseaseR44MH075481 · NIMH · GENOMAS, INC. · PI RUANO, GUALBERTO · 2009 to 2011
$1.3M
Physiogenomic Arrays for Clinical NeuropsychiatryR43MH075481 · NIMH · GENOMAS, INC. · PI RUANO, GUALBERTO · 2005 to 2006
$400k
NIBIB NIH HHS R01 EB000840NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH043775NIMH NIH HHS R01 MH052886NIMH NIH HHS R01 MH060504NIMH NIH HHS R01 MH43775NIMH NIH HHS R01 MH52886NIMH NIH HHS R01 MH60504NIMH NIH HHS R37 MH043775NIMH NIH HHS R43 MH075481NIMH NIH HHS R44 MH075481
6 · The paper itself

Abstract

The search for genetic factors associated with disease is complicated by the complexity of the biological pathways linking genotype and phenotype. This analytical complexity is particularly concerning in diseases historically lacking reliable diagnostic biological markers, such as schizophrenia and other mental disorders. We investigate the use of functional magnetic resonance imaging (fMRI) as an intermediate phenotype (endophenotype) to identify physiogenomic associations to schizophrenia. We screened 99 subjects, 30 subjects diagnosed with schizophrenia, 13 unaffected relatives of schizophrenia patients, and 56 unrelated controls, for gene polymorphisms associated with fMRI activation patterns at two locations in temporal and frontal lobes previously implied in schizophrenia. A total of 22 single nucleotide polymorphisms (SNPs) in 15 genes from the dopamine and serotonin neurotransmission pathways were genotyped in all subjects. We identified three SNPs in genes that are significantly associated with fMRI activity. SNPs of the dopamine beta-hydroxylase (DBH) gene and of the dopamine receptor D4 (DRD4) were associated with activity in the temporal and frontal lobes, respectively. One SNP of serotonin-3A receptor (HTR3A) was associated with temporal lobe activity. The results of this study support the physiogenomic analysis of neuroimaging data to discover associations between genotype and disease-related phenotypes.

Indexed as

AdultAgedAged, 80 and overBiomarkersBrainEvoked Potentials, AuditoryFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Tissue ProteinsPhenotypePolymorphism, Single NucleotideSchizophreniaBiomarkersNerve Tissue Proteins

Identifiers

PMID18330705
PMCPMC2669662
OpenAlexW2040132683

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.