Literature DB >> 33688615

Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study.

Alexandra Anagnostopoulou1, Charis Styliadis1, Panagiotis Kartsidis1, Evangelia Romanopoulou1, Vasiliki Zilidou1, Chrysi Karali2, Maria Karagianni1, Manousos Klados3, Evangelos Paraskevopoulos1, Panagiotis D Bamidis1.   

Abstract

Understanding the neuroplastic capacity of people with Down syndrome (PwDS) can potentially reveal the causal relationship between aberrant brain organization and phenotypic characteristics. We used resting-state EEG recordings to identify how a neuroplasticity-triggering training protocol relates to changes in the functional connectivity of the brain's intrinsic cortical networks. Brain activity of 12 PwDS before and after a 10-week protocol of combined physical and cognitive training was statistically compared to quantify changes in directed functional connectivity in conjunction with psychosomatometric assessments. PwDS showed increased connectivity within the left hemisphere and from left-to-right hemisphere, as well as increased physical and cognitive performance. Our findings reveal a strong adaptive neuroplastic reorganization as a result of the training that leads to a less-random network with a more pronounced hierarchical organization. Our results go beyond previous findings by indicating a transition to a healthier, more efficient, and flexible network architecture, with improved integration and segregation abilities in the brain of PwDS. Resting-state electrophysiological brain activity is used here for the first time to display meaningful relationships to underlying Down syndrome processes and outcomes of importance in a translational inquiry. This trial is registered with ClinicalTrials.gov Identifier NCT04390321.
© 2020 Massachusetts Institute of Technology.

Entities:  

Keywords:  Adaptive neuroplasticity; Cognitive training; Down syndrome; Electroencephalography; Network science indices; Physical training

Year:  2021        PMID: 33688615      PMCID: PMC7935030          DOI: 10.1162/netn_a_00177

Source DB:  PubMed          Journal:  Netw Neurosci        ISSN: 2472-1751


  1 in total

1.  Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study.

Authors:  Despoina Petsani; Evdokimos Konstantinidis; Aikaterini-Marina Katsouli; Vasiliki Zilidou; Sofia B Dias; Leontios Hadjileontiadis; Panagiotis Bamidis
Journal:  JMIR Serious Games       Date:  2022-09-13       Impact factor: 3.364

  1 in total

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