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Increased functional connectivity patterns in mild Alzheimer’s disease: a rsfMRI study

2023-01-09Journal article Open access
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dc.contributor.authorPenalba-Sánchez, Lucía
dc.contributor.authorOliveira-Silva, Patrícia
dc.contributor.authorSumich, Alexander Luke
dc.contributor.authorCifre, Ignacio
dc.date.accessioned2023-02-08T16:17:09Z
dc.date.available2023-02-08T16:17:09Z
dc.date.issued2023-01-09
dc.description.abstractBackground: Alzheimer’s disease (AD) is the most common age-related neurodegenerative disorder. In view of our rapidly aging population, there is an urgent need to identify Alzheimer’s disease (AD) at an early stage. A potential way to do so is by assessing the functional connectivity (FC), i.e., the statistical dependency between two or more brain regions, through novel analysis techniques. Methods: In the present study, we assessed the static and dynamic FC using different approaches. A resting state (rs)fMRI dataset from the Alzheimer’s disease neuroimaging initiative (ADNI) was used (n = 128). The blood-oxygen-level-dependent (BOLD) signals from 116 regions of 4 groups of participants, i.e., healthy controls (HC; n = 35), early mild cognitive impairment (EMCI; n = 29), late mild cognitive impairment (LMCI; n = 30), and Alzheimer’s disease (AD; n = 34) were extracted and analyzed. FC and dynamic FC were extracted using Pearson’s correlation, sliding-windows correlation analysis (SWA), and the point process analysis (PPA). Additionally, graph theory measures to explore network segregation and integration were computed. Results: Our results showed a longer characteristic path length and a decreased degree of EMCI in comparison to the other groups. Additionally, an increased FC in several regions in LMCI and AD in contrast to HC and EMCI was detected. These results suggest a maladaptive short-term mechanism to maintain cognition. Conclusion: The increased pattern of FC in several regions in LMCI and AD is observable in all the analyses; however, the PPA enabled us to reduce the computational demands and offered new specific dynamic FC findings.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fnagi.2022.1037347pt_PT
dc.identifier.eid85146837038
dc.identifier.issn1663-4365
dc.identifier.pmcPMC9869068
dc.identifier.pmid36698861
dc.identifier.urihttp://hdl.handle.net/10400.14/40183
dc.identifier.wos000916833500001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAlzheimer’s diseasept_PT
dc.subjectDynamic functional connectivitypt_PT
dc.subjectFunctional connectivitypt_PT
dc.subjectMild cognitive impairmentpt_PT
dc.subjectPoint process analysispt_PT
dc.subjectResting state fMRIpt_PT
dc.titleIncreased functional connectivity patterns in mild Alzheimer’s disease: a rsfMRI studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Aging Neurosciencept_PT
oaire.citation.volume14pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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