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Journal Articles Alzheimer's Research and Therapy Year : 2022

Dynamic functional connectivity patterns associated with dementia risk

Abstract

Background: This study assesses the relationships between dynamic functional network connectivity (DFNC) and dementia risk. Methods: DFNC of the default mode (DMN), salience (SN), and executive control networks was assessed in 127 cognitively unimpaired older adults. Stepwise regressions were performed with dementia risk and protective factors and biomarkers as predictors of DFNC. Results: Associations were found between times spent in (i) a "weakly connected" state and lower self-reported engagement in early- and mid-life cognitive activity and higher LDL cholesterol; (ii) a "SN-negatively connected" state and higher blood pressure, higher depression score, and lower body mass index (BMI); (iii) a "strongly connected" state and higher self-reported engagement in early-life cognitive activity, Preclinical Alzheimer's cognitive composite-5 score, and BMI; and (iv) a "DMN-negatively connected" state and higher self-reported engagement in early- and mid-life stimulating activities and lower LDL cholesterol and blood pressure. The lower number of state transitions was associated with lower brain perfusion. Conclusion: DFNC states are differentially associated with dementia risk and could underlie reserve.
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Dates and versions

inserm-04040777 , version 1 (22-03-2023)

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Sophie Dautricourt, Julie Gonneaud, Brigitte Landeau, Vince Calhoun, Robin de Flores, et al.. Dynamic functional connectivity patterns associated with dementia risk. Alzheimer's Research and Therapy, 2022, 14 (1), pp.72. ⟨10.1186/s13195-022-01006-7⟩. ⟨inserm-04040777⟩
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