Nair Pallavi, Prasad Kameshwar, Balasundaram Parthiban, Vibha Deepti, Nand Dwivedi Sada, Gaikwad Shailesh B, Srivastava Achal K, Verma Vivek
Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Department of Neurology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Aging Brain. 2023 Apr 28;3:100075. doi: 10.1016/j.nbas.2023.100075. eCollection 2023.
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 ( = 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.
由于印度人群缺乏规范数据,我们在LoCARPoN研究中对多模态脑MRI测量进行了量化和研究。共有401名无中风或痴呆的参与者(年龄在50 - 88岁之间)完成了MRI检查。我们总共使用四种脑MRI模态评估了31项脑测量指标,包括宏观结构指标(全脑和脑叶体积、白质高信号[WMHs])、微观结构指标(全脑和特定脑区白质分数各向异性[WM - FA]及平均扩散率[MD])和灌注指标(全脑和脑叶脑血流量[CBF])。男性的绝对脑体积显著大于女性,但这种差异相对较小(<颅内体积的1.2%)。随着年龄增长,发现宏观结构脑体积减小、WM - FA降低、WMHs增加、WM - MD升高(P = 0.00018,Bonferroni阈值)。灌注指标未显示出随年龄增长的显著差异。海马体体积与年龄的关联最为显著,每年减少约0.48%。这项初步研究丰富了对印度人群(南亚族裔)衰老初期多模态脑测量的认识并提供了见解。我们的研究结果为未来的假设检验研究奠定了基础。