Evidence map›Paper›PMID 26106217›Full record

ArticleSchizophrenia bulletin2016

Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis.

Shruti Gopal, Robyn L Miller, Andrew Michael, Tulay Adali, Mustafa Cetin, Srinivas Rachakonda, Juan R Bustillo, Nathan Cahill, Stefi A Baum, Vince D Calhoun

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  8. A spectrum of altered non-rapid eye movement sleep in schizophrenia.bioRxiv : the preprint server for biology · 2023
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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

10 authors at 5 institutions in 1 country.

Shruti GopalChester F. Carlson Center of Imaging Science, Rochester Institute of Technology, Rochester, NY; The Mind Research Network, Albuquerque, NM; sgopal@mrn.org.
Robyn L MillerThe Mind Research Network, Albuquerque, NM;
Andrew Michael
Tulay AdaliDepartment of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD;
Mustafa CetinDepartment of Computer Science, University of New Mexico, Albuquerque, NM;
Srinivas RachakondaThe Mind Research Network, Albuquerque, NM;
Juan R BustilloDepartment of Psychiatry, University of New Mexico, Albuquerque, NM;
Nathan CahillCenter for Applied and Computational Mathematics in the School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY;
Stefi A BaumChester F. Carlson Center of Imaging Science, Rochester Institute of Technology, Rochester, NY;
Vince D CalhounThe Mind Research Network, Albuquerque, NM; Department of Computer Science, University of New Mexico, Albuquerque, NM; Department of Psychiatry, University of New Mexico, Albuquerque, NM; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM.
Mind Research Network · USRochester Institute of Technology · USUniversity of New Mexico · USGeisinger Medical Center · USUniversity of Maryland, Baltimore County · US

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI ABBOTT, CHRISTOPHER C · 2012 to 2017
$14.3M
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
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
NIGMS NIH HHS 5P20GM103472NIGMS NIH HHS P20 GM103472
6 · The paper itself

Abstract

Spatial variability in resting functional MRI (fMRI) brain networks has not been well studied in schizophrenia, a disease known for both neurodevelopmental and widespread anatomic changes. Motivated by abundant evidence of neuroanatomical variability from previous studies of schizophrenia, we draw upon a relatively new approach called independent vector analysis (IVA) to assess this variability in resting fMRI networks. IVA is a blind-source separation algorithm, which segregates fMRI data into temporally coherent but spatially independent networks and has been shown to be especially good at capturing spatial variability among subjects in the extracted networks. We introduce several new ways to quantify differences in variability of IVA-derived networks between schizophrenia patients (SZs = 82) and healthy controls (HCs = 89). Voxelwise amplitude analyses showed significant group differences in the spatial maps of auditory cortex, the basal ganglia, the sensorimotor network, and visual cortex. Tests for differences (HC-SZ) in the spatial variability maps suggest, that at rest, SZs exhibit more activity within externally focused sensory and integrative network and less activity in the default mode network thought to be related to internal reflection. Additionally, tests for difference of variance between groups further emphasize that SZs exhibit greater network variability. These results, consistent with our prediction of increased spatial variability within SZs, enhance our understanding of the disease and suggest that it is not just the amplitude of connectivity that is different in schizophrenia, but also the consistency in spatial connectivity patterns across subjects.

Indexed as

AdolescentAdultAgedAlgorithmsAuditory CortexBasal GangliaBrainBrain MappingCase-Control StudiesFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedIVAresting fMRIschizophreniaspatial variability

Identifiers

PMID26106217
PMCPMC4681547
OpenAlexW2254883979

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.