Multimodal imaging of the aging brain: Baseline findings of the LoCARPoN study

IF 1.7 Q3 CLINICAL NEUROLOGY Aging brain Pub Date : 2023-01-01 DOI:10.1016/j.nbas.2023.100075
Pallavi Nair , Kameshwar Prasad , Parthiban Balasundaram , Deepti Vibha , Sada Nand Dwivedi , Shailesh B. Gaikwad , Achal K. Srivastava , Vivek Verma
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Abstract

We quantified and investigated multimodal brain MRI measures in the LoCARPoN Study due to lack of normative data among Indians. A total of 401 participants (aged 50–88 years) without stroke or dementia completed MRI investigation. We assessed 31 brain measures in total using four brain MRI modalities, including macrostructural (global & lobar volumes, white matter hyperintensities [WMHs]), microstructural (global and tract-specific white matter fractional anisotropy [WM-FA] and mean diffusivity [MD]) and perfusion measures (global and lobar cerebral blood flow [CBF]). The absolute brain volumes of males were significantly larger than those of females, but such differences were relatively small (<1.2% of intracranial volume). With increasing age, lower macrostructural brain volumes, lower WM-FA, greater WMHs, higher WM-MD were found (P = 0.00018, Bonferroni threshold). Perfusion measures did not show significant differences with increasing age. Hippocampal volume showed the greatest association with age, with a reduction of approximately 0.48%/year. This preliminary study augments and provides insight into multimodal brain measures during the nascent stages of aging among the Indian population (South Asian ethnicity). Our findings establish the groundwork for future hypothetical testing studies.

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脑老化的多模态成像:LoCARPoN研究的基线结果
由于缺乏印度人的规范性数据,我们在LoCARPoN研究中量化并研究了多模式大脑MRI测量。共有401名没有中风或痴呆的参与者(年龄50-88岁)完成了MRI调查。我们使用四种大脑MRI模式评估了总共31项大脑测量,包括宏观结构(全局和叶体积、白质高信号[WMHs])、微观结构(全局性和束特异性白质分数各向异性[WM-FA]和平均扩散率[MD])和灌注测量(全局和叶脑血流[CBF])。男性的绝对脑容量明显大于女性,但这种差异相对较小(<颅内容量的1.2%)。随着年龄的增长,大脑宏观结构体积降低,WM-FA降低,WMHs增加,WM-MD增加(P=0.00018,Bonferroni阈值)。随着年龄的增长,灌注测量没有显示出显著差异。海马体积与年龄的相关性最大,每年减少约0.48%。这项初步研究增强并深入了解了印度人口(南亚裔)衰老初期的多模式大脑测量。我们的发现为未来的假设测试研究奠定了基础。
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Aging brain
Aging brain Neuroscience (General), Geriatrics and Gerontology
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