Clark Alexandra L, McGill Makenna B, Weigand Alexandra J, Wisch Julie K, Petersen Kalen, Ances Beau, Braskie Meredith N, O'Bryant Sid, Thomas Kelsey R
Department of Psychology The University of Texas at Austin Austin Texas USA.
Department of Neurology University of California San Francisco Medical School San Francisco California USA.
Alzheimers Dement (N Y). 2025 May 23;11(2):e70109. doi: 10.1002/trc2.70109. eCollection 2025 Apr-Jun.
This study examined whether previously identified psychosocial behavioral phenotypes differed on structural neuroimaging markers.
Latent profile analysis (LPA) employed in a sample of 1820 community-dwelling older adults (1118 Hispanic and 702 Black) replicated previous Low Resource/Low Distress, High Resource/Low Distress, and Low Resource/High Distress phenotype classifications. Analyses of covariance (ANCOVAs) adjusting for relevant factors examined phenotype differences on neuroimaging outcomes of predicted brain age gap (BAG) (DeepBrainNet Age - Age), hippocampal volume, and cortical thickness of a meta-temporal region of interest.
The Low Resource/Low Distress and Low Resource/High Distress phenotypes had significantly higher predicted BAGs relative to the High Resource/Low Distress phenotype, and the Low Resource/High Distress group displayed significantly lower hippocampal volumes and meta-temporal cortical thickness relative to High Resource/Low Distress phenotype.
Results highlight there are neurostructural variations across psychosocial behavioral phenotypes and indicate the Low Resource/High Distress group may be at risk for ADRD.
Brain age gap (BAG), hippocampal volumes, and cortical thickness differences were tested.The High Resource/Low Distress phenotype had the most favorable imaging outcomes.The Low Resource/High Distress phenotype demonstrated the poorest imaging outcomes.Risk for Alzheimer's disease and related dementias (ADRD) may differ across psychosocial behavioral phenotypes.
本研究探讨了先前确定的社会心理行为表型在结构神经影像学标志物上是否存在差异。
对1820名社区居住的老年人(1118名西班牙裔和702名黑人)样本进行潜在剖面分析(LPA),重复先前的低资源/低痛苦、高资源/低痛苦和低资源/高痛苦表型分类。通过协方差分析(ANCOVA)对相关因素进行调整,研究了预测脑年龄差距(BAG)(DeepBrainNet年龄 - 实际年龄)、海马体积和颞叶感兴趣元区域皮质厚度等神经影像学结果的表型差异。
相对于高资源/低痛苦表型,低资源/低痛苦和低资源/高痛苦表型的预测BAG显著更高,并且相对于高资源/低痛苦表型,低资源/高痛苦组的海马体积和颞叶元皮质厚度显著更低。
结果突出表明社会心理行为表型之间存在神经结构差异,并表明低资源/高痛苦组可能有患ADRD的风险。
测试了脑年龄差距(BAG)、海马体积和皮质厚度差异。高资源/低痛苦表型的影像学结果最有利。低资源/高痛苦表型的影像学结果最差。阿尔茨海默病及相关痴呆症(ADRD)的风险可能因社会心理行为表型而异。