Multimodal neuroimaging unveils basal forebrain-limbic system circuit dysregulation in cognitive impairment with depression: a pathway to early diagnosis and intervention.

IF 7.8 Q2 BUSINESS
Xiaowen Xu, Xiereniguli Anayiti, Peiying Chen, Zhongfeng Xie, Mengling Tao, Yongsheng Xiang, Mingyu Tan, Yingying Liu, Ling Yue, Shifu Xiao, Peijun Wang
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引用次数: 0

Abstract

Background: Alzheimer's disease (AD) frequently co-occurs with depressive symptoms, exacerbating both cognitive decline and clinical complexity, yet the neural substrates linking this co-occurrence remain poorly understood. We aimed to investigate the role of basal forebrain-limbic system circuit dysregulation in the interaction between cognitive impairment and depressive symptoms, identifying potential biomarkers for early diagnosis and intervention.

Methods: This cross-sectional study included participants stratified into normal controls (NC), cognitive impairment without depression (CI-nD), and cognitive impairment with depression (CI-D). Multimodal MRI (structural, diffusion, functional, perfusion, iron-sensitive imaging) and plasma biomarkers were analyzed. Machine learning models classified subgroups using neuroimaging features.

Results: CI-D exhibited distinct basal forebrain-limbic circuit alterations versus CI-nD and NC: (1) Elevated free-water fraction (FW) in basal forebrain subregions (Ch123/Ch4, p < 0.04), indicating early neuroinflammation; (2) Increased iron deposition in the anterior cingulate cortex and entorhinal cortex (p < 0.05); (3) Hyperperfusion and functional hyperactivity in Ch123 and amygdala; (4) Plasma neurofilamentlightchain exhibited correlated with hippocampal inflammation in CI-nD (p = 0.03) but linked to basal forebrain dysfunction in CI-D (p < 0.05). Multimodal support vector machine achieved 85 % accuracy (AUC=0.96) in distinguishing CI-D from CI-nD, with Ch123 and Ch4 as key discriminators. Pathway analysis in the CI-D group further revealed that FW-related neuroinflammation in the basal forebrain (Ch123/Ch4) indirectly contributed to cognitive impairment via structural atrophy.

Conclusion: We identified a neuroinflammatory-cholinergic pathway in the basal forebrain as an early mechanism driving depression-associated cognitive decline. Multimodal imaging revealed distinct spatiotemporal patterns of circuit dysregulation, suggesting neuroinflammation and iron deposition precede structural degeneration. These findings position the basal forebrain-limbic system circuit as a therapeutic target and provide actionable biomarkers for early intervention in AD with depressive symptoms.

多模态神经成像揭示了认知障碍伴抑郁症的基底前脑-边缘系统回路失调:早期诊断和干预的途径。
背景:阿尔茨海默病(AD)经常与抑郁症状同时发生,加剧了认知能力下降和临床复杂性,但人们对这种同时发生的神经基质知之甚少。我们旨在研究基底前脑-边缘系统回路失调在认知障碍和抑郁症状之间的相互作用中的作用,确定早期诊断和干预的潜在生物标志物。方法:本横断面研究将参与者分为正常对照(NC)、无抑郁认知障碍(CI-nD)和抑郁认知障碍(CI-D)。分析多模态MRI(结构、扩散、功能、灌注、铁敏感成像)和血浆生物标志物。机器学习模型使用神经成像特征对子组进行分类。结果:与CI-nD和NC相比,CI-D表现出明显的基底前脑-边缘回路改变:(1)基底前脑亚区自由水分数(FW)升高(Ch123/Ch4, p < 0.04),提示早期神经炎症;(2)前扣带皮层和内鼻皮层铁沉积增加(p < 0.05);(3) Ch123和杏仁核的高灌注和功能亢进;(4)血浆神经丝轻链与CI-nD海马炎症相关(p = 0.03),与CI-D基底前脑功能障碍相关(p < 0.05)。以Ch123和Ch4为主要鉴别符,多模态支持向量机识别CI-D和CI-nD的准确率达到85% (AUC=0.96)。CI-D组的通路分析进一步表明,基底前脑(Ch123/Ch4)的fw相关神经炎症通过结构萎缩间接导致认知功能障碍。结论:我们确定了基底前脑中的神经炎症-胆碱能通路是驱动抑郁症相关认知能力下降的早期机制。多模态成像显示不同时空的电路失调模式,提示神经炎症和铁沉积先于结构变性。这些发现将基底前脑-边缘系统回路定位为治疗靶点,并为阿尔茨海默病伴抑郁症状的早期干预提供了可行的生物标志物。
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来源期刊
The Journal of Prevention of Alzheimer's Disease
The Journal of Prevention of Alzheimer's Disease Medicine-Psychiatry and Mental Health
CiteScore
9.20
自引率
0.00%
发文量
0
期刊介绍: The JPAD Journal of Prevention of Alzheimer’Disease will publish reviews, original research articles and short reports to improve our knowledge in the field of Alzheimer prevention including: neurosciences, biomarkers, imaging, epidemiology, public health, physical cognitive exercise, nutrition, risk and protective factors, drug development, trials design, and heath economic outcomes.JPAD will publish also the meeting abstracts from Clinical Trial on Alzheimer Disease (CTAD) and will be distributed both in paper and online version worldwide.We hope that JPAD with your contribution will play a role in the development of Alzheimer prevention.
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