ArticleInternational journal of clinical and health psychology : IJCHP
Abnormal degree centrality and functional connectivity in Down syndrome: A resting-state fMRI study.
Article in International journal of clinical and health psychology : IJCHP. 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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The clinical relevance of healthy neurodevelopmental connectivity in childhood and adolescence: a meta-analysis of resting-state fMRI.Frontiers in neuroscience · 2025Pooled it
- Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees.iScience · 2026Article
- Altered voxel-wise degree centrality of brain networks in patients with chronic rhinosinusitis: a resting-state functional magnetic resonance imaging study.Quantitative imaging in medicine and surgery · 2025Article
- Abnormal intrinsic functional hubs and connectivity in nurses with occupational burnout: a resting-state fMRI study.Frontiers in public health · 2025Article
- Disrupted default mode network connectivity in bipolar disorder: a resting-state fMRI study.BMC psychiatry · 2024Article
- The Role of Tau Pathology in Alzheimer's Disease and Down Syndrome.Journal of clinical medicine · 2024Review
- Altered regional neural activity and functional connectivity in patients with non-communicating hydrocephalus: a resting-state functional magnetic resonance imaging study.Frontiers in neurology · 2024Article
- Estimation and update of betweenness centrality with progressive algorithm and shortest paths approximation.Scientific reports · 2023Article
- Functional reorganization of brain networks from childhood to adolescence: A multi-level approach.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
6 authors.
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Abstract
Background/Objective: Neuroimaging studies have shown brain abnormalities in Down syndrome (DS) but have not clarified the underlying mechanisms of dysfunction. Here, we investigated the degree centrality (DC) abnormalities found in the DS group compared with the control group, and we conducted seed-based functional connectivity (FC) with the significant clusters found in DC. Moreover, we used the significant clusters of DC and the seed-based FC to elucidate differences between brain networks in DS compared with controls. Method: The sample comprised 18 persons with DS ( Results: DC analysis showed increased DC in the DS in temporal and right frontal lobe, as well as in the left caudate and rectus and decreased DC in the DS in regions of the left frontal lobe. Regarding seed-based FC, DS showed increased and decreased FC. Significant differences were also found between networks using Yeo parcellations, showing both hyperconnectivity and hypoconnectivity between and within networks. Conclusions: DC, seed-based FC and brain networks seem altered in DS, finding hypo- and hyperconnectivity depending on the areas. Network analysis revealed between- and within-network differences, and these abnormalities shown in DS could be related to the characteristics of the population.
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