ArticleBrain and behavior2021
Resting-state default mode network connectivity in young individuals with Down syndrome.
Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 19 citations in OpenAlex.
- Early oxidative stress and DNA damage in Aβ-burdened hippocampal neurons in an Alzheimer's-like transgenic rat model.Communications biology · 2024Article
- Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia.Scientific reports · 2024Article
- Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- EEG Network Analysis in Epilepsy with Generalized Tonic-Clonic Seizures Alone.Brain sciences · 2022Article
- GnRH replacement rescues cognition in Down syndrome.Science (New York, N.Y.) · 2022Article
- Youth with Down syndrome display widespread increased functional connectivity during rest.Scientific reports · 2022Article
- Prenatal and Postnatal Pharmacotherapy in Down Syndrome: The Search to Prevent or Ameliorate Neurodevelopmental and Neurodegenerative Disorders.Annual review of pharmacology and toxicology · 2022Article
- Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment.Brain sciences · 2021Article
- Astrocytes in Down Syndrome Across the Lifespan.Frontiers in cellular neuroscience · 2021Review
- Resting-state default mode network connectivity in young individuals with Down syndrome.Brain and behavior · 2021Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDown syndrome (DS) is a chromosomal disorder that causes intellectual disability. Few studies have been conducted on functional connectivity using resting-state fMRI (functional magnetic resonance imaging) signals or more specifically, on the relevant structure and density of the default mode network (DMN). Although data on this issue have been reported in adult DS individuals (age: >45 years), the DMN properties in young DS individuals have not been studied. The aim of this study was to describe the density and structure of the DMN network from fMRI signals in young DS (age: <36 years).
methodA sample of 22 young people with DS between the ages of 16 and 35 (M = 25.5 and SD = 5.1) was recruited in various centers for people with intellectual disability (ID). In addition to sociodemographic data, a six-minute fMRI session was recorded with a 3. T Philips Ingenia scanner. A control group of 22 young people, matched by age and gender, was obtained from the Human Connectome Project (to compare the networks properties between groups).
resultsThe values of the 48 ROIs that configured the DMN were obtained, and the connectivity graphs for each subject, the average connectivity graph for each group, the clustering and degree values for each ROI, and the average functional connectivity network were estimated.
conclusionsA higher density of overactivation was identified in DS group in the ventral, sensorimotor, and visual DMN networks, although within a framework of a wide variability of connectivity patterns in comparison with the control group network. These results extend our understanding of the functional connectivity networks pattern and intrasubject variability in DS.
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