Psychosocial behavioral phenotypes of racially/ethnically minoritized older adults enrolled in HABS-HD differ on neuroimaging measures of brain age gap, hippocampal volume, and cortical thickness

IF 6.8 Q1 CLINICAL NEUROLOGY
Alexandra L. Clark, Makenna B. McGill, Alexandra J. Weigand, Julie K. Wisch, Kalen Petersen, Beau Ances, Meredith N. Braskie, Sid O'Bryant, Kelsey R. Thomas, HABS-HD Study Team
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引用次数: 0

Abstract

INTRODUCTION

This study examined whether previously identified psychosocial behavioral phenotypes differed on structural neuroimaging markers.

METHODS

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 Predicted Age – Chronological Age), hippocampal volume, and cortical thickness of a meta-temporal region of interest.

RESULTS

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.

DISCUSSION

Results highlight there are neurostructural variations across psychosocial behavioral phenotypes and indicate the Low Resource/High Distress group may be at risk for ADRD.

Highlights

  • 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.

Abstract Image

参加HABS-HD的少数民族/种族老年人的社会心理行为表型在脑年龄差距、海马体积和皮质厚度的神经影像学测量上存在差异
本研究考察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。方法对1820名社区居住老年人(1118名西班牙裔和702名黑人)进行潜在剖面分析(LPA),重复之前的低资源/低窘迫、高资源/低窘迫和低资源/高窘迫表型分类。调整相关因素的协方差分析(ANCOVAs)检查了预测脑年龄差距(BAG) (DeepBrainNet预测年龄-实足年龄)、海马体积和感兴趣的颞叶区皮层厚度的神经影像学结果的表型差异。结果低资源/低痛苦和低资源/高痛苦表型组的bag预测值明显高于高资源/低痛苦表型组,低资源/高痛苦表型组海马体积和颞叶皮层厚度明显低于高资源/低痛苦表型组。结果强调,在社会心理行为表型中存在神经结构变异,并表明低资源/高痛苦组可能存在ADRD的风险。脑年龄差距(BAG)、海马体积和皮质厚度差异进行了测试。高资源/低窘迫表型具有最有利的影像学结果。低资源/高痛苦表型表现出最差的成像结果。阿尔茨海默病和相关痴呆(ADRD)的风险可能因社会心理行为表型而异。
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来源期刊
CiteScore
10.10
自引率
2.10%
发文量
134
审稿时长
10 weeks
期刊介绍: Alzheimer''s & Dementia: Translational Research & Clinical Interventions (TRCI) is a peer-reviewed, open access,journal from the Alzheimer''s Association®. The journal seeks to bridge the full scope of explorations between basic research on drug discovery and clinical studies, validating putative therapies for aging-related chronic brain conditions that affect cognition, motor functions, and other behavioral or clinical symptoms associated with all forms dementia and Alzheimer''s disease. The journal will publish findings from diverse domains of research and disciplines to accelerate the conversion of abstract facts into practical knowledge: specifically, to translate what is learned at the bench into bedside applications. The journal seeks to publish articles that go beyond a singular emphasis on either basic drug discovery research or clinical research. Rather, an important theme of articles will be the linkages between and among the various discrete steps in the complex continuum of therapy development. For rapid communication among a multidisciplinary research audience involving the range of therapeutic interventions, TRCI will consider only original contributions that include feature length research articles, systematic reviews, meta-analyses, brief reports, narrative reviews, commentaries, letters, perspectives, and research news that would advance wide range of interventions to ameliorate symptoms or alter the progression of chronic neurocognitive disorders such as dementia and Alzheimer''s disease. The journal will publish on topics related to medicine, geriatrics, neuroscience, neurophysiology, neurology, psychiatry, clinical psychology, bioinformatics, pharmaco-genetics, regulatory issues, health economics, pharmacoeconomics, and public health policy as these apply to preclinical and clinical research on therapeutics.
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