Evidence map›Paper›PMID 36698861›Full record

ArticleFrontiers in aging neuroscience2022

Increased functional connectivity patterns in mild Alzheimer's disease: A rsfMRI study.

Lucía Penalba-Sánchez, Patrícia Oliveira-Silva, Alexander Luke Sumich, Ignacio Cifre

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Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lucía Penalba-SánchezFacultat de Psicologia, Ciències de l'educació i de l'Esport, Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Patrícia Oliveira-SilvaHuman Neurobehavioral Laboratory (HNL), Research Centre for Human Development (CEDH), Faculdade de Educação e Psicologia, Universidade Católica Portuguesa, Porto, Portugal.
Alexander Luke SumichNTU Psychology, School of Social Sciences, Nottingham Trent University, Nottingham, United Kingdom.
Ignacio CifreFacultat de Psicologia, Ciències de l'educació i de l'Esport, Blanquerna, Universitat Ramon Llull, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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 ( 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.

Indexed as

Alzheimer’s diseasedynamic functional connectivityfunctional connectivitymild cognitive impairmentpoint process analysisresting state fMRI

Identifiers

PMID36698861
PMCPMC9869068

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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.