Evidence map›Paper›PMID 39414848›Full record

ArticleScientific reports2024

Small world properties of schizophrenia and OCD patients derived from fNIRS based functional brain network connectivity metrics.

Ata Akın, Emre Yorgancıgil, Ozan Cem Öztürk, Bernis Sütçübaşı, Ceyhun Kırımlı, Elçim Elgün Kırımlı, Seda Nilgün Dumlu, Gülnaz Yükselen, S Burcu Erdoğan

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ata AkınDepartment of Biomedical Engineering, Acibadem University, Istanbul, Turkey. ata.akin@acibadem.edu.tr.
Emre YorgancıgilDepartment of Biomedical Engineering, Acibadem University, Istanbul, Turkey.
Ozan Cem Öztürk *Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey.
Bernis Sütçübaşı *Department of Psychology, Acibadem University, Istanbul, Turkey.
Ceyhun Kırımlı *Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey.
Elçim Elgün Kırımlı *Department of Basic Sciences, Acibadem University, Istanbul, Turkey.
Seda Nilgün DumluDepartment of Computer Engineering, Acibadem University, Istanbul, Turkey.
Gülnaz YükselenDepartment of Computer Engineering, Acibadem University, Istanbul, Turkey.
S Burcu ErdoğanDepartment of Biomedical Engineering, Acibadem University, Istanbul, Turkey.

Funding

Boğaziçi Üniversitesi 5106Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 108S101
6 · The paper itself

Abstract

Individuals suffering from obsessive compulsive disorder (OCD) and schizophrenia (SCZ) frequently exhibit symptoms of cognitive disassociations, which are linked to poor functional integration among brain regions. The loss of functional integration can be assessed using graph metrics computed from functional connectivity matrices (FCMs) derived from neuroimaging data. A healthy brain at rest is known to exhibit small-world features with high clustering coefficients and shorter path lengths in contrast to random networks. The aim of this study was to compare the small-world properties of prefrontal cortical functional networks of healthy subjects with OCD and SCZ patient groups by use of hemodynamic data obtained with functional near infrared spectroscopy (fNIRS). 13 healthy subjects and 47 patients who were clinically diagnosed with either OCD (N = 21) or SCZ (N = 26) completed a Stroop test while their prefrontal cortex (PFC) hemodynamics were monitored with fNIRS. The Stroop test had a block design consisting of neutral, congruent and incongruent stimuli. For each subject and stimuli type, FCMs were derived separately which were then used to compute small world features that included (i) global efficiency (GE), (ii) clustering coefficient (CC), (iii) modularity (Q), and (iv) small-world parameter (

Indexed as

Obsessive-Compulsive DisorderPrefrontal CortexSchizophreniaSpectroscopy, Near-InfraredAdultBrainBrain MappingCase-Control StudiesFemaleHemodynamicsHumansMaleMiddle AgedNerve NetStroop TestYoung AdultfNIRSFunctional connectivityGlobal efficiencyObsessive-compulsive disorderSchizophreniaSmall worldness

Identifiers

PMID39414848
PMCPMC11484758

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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.