Dynamic functional connectivity patterns associated with dementia risk

• Type of Material: Article
• Authors: Sophie Dautricourt, Normandie University; Julie Gonneaud, Normandie University; Brigitte Landeau, Normandie University; Vince Calhoun, Emory University; Robin de Flores, Normandie University; Géraldine Poisnel, Normandie University; Salma Bougacha, Normandie University; Valentin Ourry, Normandie University; Edelweiss Touron, Normandie University; Elizabeth Kuhn, Normandie University; Harriet Demintz-King, University College London; Natalie L. Marchant, University College London; Denis Vivien, Normandie University; Vincent de la Sayette, University Hospital Caen; Antoine Lutz, Lyon University; Gaël Chetelat, Normandie University
• Language: English
• Date: 2022-05-23
• Publisher: BMC
• Publication Version: Final Published Version
• Copyright Statement: © The Author(s) 2022.
• License: Creative Commons Attribution 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1186/s13195-022-01006-7
• Title of Journal or Parent Work: Alzheimers Research & Therapy
• Volume: 14
• Issue: 1
• Start Page: 72
• End Page: 72
• Grant/Funding Information: The Age-Well and SCD-Well Randomised Controlled Trials are part of the Medit-Ageing project funded through the European Union in the Horizon 2020 program related to the call PHC22 “Promoting mental well-being in the ageing population” and under grant agreement No667696.
• Keywords: Dynamic functional network connectivity; Midlife; Body mass index; Sliding window analysis; Cognition; Scale; Network; Late life; Clinical Neurology; Lifestyle; Cardiovascular risk factors; Dementia risk; Science & Technology; Cognitive reserve; Decline; Life Sciences & Biomedicine; Blood pressure; States; Neurosciences & Neurology; Neurosciences
• Research Categories: Biology, Neuroscience; Health Sciences, Public Health; Psychology, Cognitive

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.