Manchella, Mohit K.Logan, Paige E.Perry, Brea L.Peng, SiyunRisacher, Shannon L.Saykin, Andrew J.Apostolova, Liana G.2024-06-242024-06-242024Manchella MK, Logan PE, Perry BL, et al. Associations Between Social Network Characteristics and Brain Structure Among Older Adults. Alzheimers Dement. 2024;20(2):1406-1420. doi:10.1002/alz.13534https://hdl.handle.net/1805/41780Introduction: Social connectedness is associated with slower cognitive decline among older adults. Recent research suggests that distinct aspects of social networks may have differential effects on cognitive resilience, but few studies analyze brain structure. Methods: This study includes 117 cognitively impaired and 59 unimpaired older adults. The effects of social network characteristics (bridging/bonding) on brain regions of interests were analyzed using linear regressions and voxel-wise multiple linear regressions of gray matter density. Results: Increased social bridging was associated with greater bilateral amygdala volume and insular thickness, and left frontal lobe thickness, putamen, and thalamic volumes. Increased social bonding was associated with greater bilateral medial orbitofrontal and caudal anterior cingulate thickness, as well as right frontal lobe thickness, putamen, and amygdala volumes. Discussion: The associations between social connectedness and brain structure vary depending on the types of social enrichment accessible through social networks, suggesting that psychosocial interventions could mitigate neurodegeneration. Highlights: Distinct forms of social capital are uniquely linked to gray matter density (GMD). Bridging is associated with preserved GMD in limbic system structures. Bonding is associated with preserved GMD in frontal lobe regions. Bridging is associated with increased brain reserve in sensory processing regions. Bonding is associated with increased brain reserve in regions of stress modulation.en-USAttribution-NonCommercial-NoDerivatives 4.0 InternationalBondingBridgingCognitive impairmentMagnetic resonance imagingNeuroimagingSocial connectednessSocial networksArticle