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Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative Study.典型相关分析和偏最小二乘法在识别脑-行为关联中的应用:教程和比较研究。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2022 Nov;7(11):1055-1067. doi: 10.1016/j.bpsc.2022.07.012. Epub 2022 Aug 8.
2
Heart rate variability in relation to cognition and behavior in neurodegenerative diseases: A systematic review and meta-analysis.心率变异性与神经退行性疾病认知和行为的关系:系统评价和荟萃分析。
Ageing Res Rev. 2022 Jan;73:101539. doi: 10.1016/j.arr.2021.101539. Epub 2021 Dec 6.
3
Autonomic, endocrine, and psychological stress responses to different forms of blood draw.自主神经、内分泌和心理对应不同采血方式的应激反应。
PLoS One. 2021 Sep 3;16(9):e0257110. doi: 10.1371/journal.pone.0257110. eCollection 2021.
4
Targeting autonomic flexibility to enhance cognitive training outcomes in older adults with mild cognitive impairment: study protocol for a randomized controlled trial.针对轻度认知障碍老年人的自主灵活性,以增强认知训练效果:一项随机对照试验的研究方案。
Trials. 2021 Aug 23;22(1):560. doi: 10.1186/s13063-021-05530-z.
5
Surface-Based Connectivity Integration: An atlas-free approach to jointly study functional and structural connectivity.基于表面的连接整合:一种联合研究功能和结构连接的无图谱方法。
Hum Brain Mapp. 2021 Aug 1;42(11):3481-3499. doi: 10.1002/hbm.25447. Epub 2021 May 6.
6
Autonomic flexibility reflects learning and associated neuroplasticity in old age.自主神经灵活性反映了老年人的学习和相关神经可塑性。
Hum Brain Mapp. 2020 Sep;41(13):3608-3619. doi: 10.1002/hbm.25034. Epub 2020 Jun 8.
7
Central autonomic network functional connectivity: correlation with baroreflex function and cardiovascular variability in older adults.中老年人大脑中枢自主神经网络功能连接:与压力反射功能和心血管可变性的相关性。
Brain Struct Funct. 2020 Jun;225(5):1575-1585. doi: 10.1007/s00429-020-02075-w. Epub 2020 Apr 30.
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Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.在高维干草堆中寻找针:神经科学家的典型相关分析。
Neuroimage. 2020 Aug 1;216:116745. doi: 10.1016/j.neuroimage.2020.116745. Epub 2020 Apr 8.
9
Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study.处理速度与注意力训练可改善自主神经灵活性:一项机制性干预研究。
Neuroimage. 2020 Jun;213:116730. doi: 10.1016/j.neuroimage.2020.116730. Epub 2020 Mar 9.
10
Heart rate variability as a biomarker in health and affective disorders: A perspective on neuroimaging studies.心率变异性作为健康和情感障碍的生物标志物:神经影像学研究的视角。
Neuroimage. 2019 Nov 15;202:116072. doi: 10.1016/j.neuroimage.2019.116072. Epub 2019 Aug 3.

CCA 确定了一种神经生理标记,该标记可可靠地与遗忘型轻度认知障碍患者认知的内部控制源相关联,这是一种适应能力的标记。

CCA identifies a neurophysiological marker of adaptation capacity that is reliably linked to internal locus of control of cognition in amnestic MCI.

机构信息

CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.

Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA.

出版信息

Geroscience. 2023 Jun;45(3):1803-1815. doi: 10.1007/s11357-023-00730-8. Epub 2023 Jan 26.

DOI:10.1007/s11357-023-00730-8
PMID:36697886
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10400522/
Abstract

Locus of control (LOC) describes whether an individual thinks that they themselves (internal LOC) or external factors (external LOC) have more influence on their lives. LOC varies by domain, and a person's LOC for their intellectual capacities (LOC-Cognition) may be a marker of resilience in older adults at risk for dementia, with internal LOC-Cognition relating to better outcomes and improved treatment adherence. Vagal control, a key component of parasympathetic autonomic nervous system (ANS) regulation, may reflect a neurophysiological biomarker of internal LOC-Cognition. We used canonical correlation analysis (CCA) to identify a shared neurophysiological marker of ANS regulation from electrocardiogram (during auditory working memory) and functional connectivity (FC) data. A canonical variable from root mean square of successive differences (RMSSD) time series and between-network FC was significantly related to internal LOC-Cognition (β = 0.266, SE = 0.971, CI = [0.190, 4.073], p = 0.031) in 65 participants (mean age = 74.7, 32 female) with amnestic mild cognitive impairment (aMCI). Follow-up data from 55 of these individuals (mean age = 73.6, 22 females) was used to show reliability of this relationship (β = 0.271, SE = 0.971, CI = [0.033, 2.630], p = 0.047), and a second sample (40 participants with aMCI/healthy cognition, mean age = 72.7, 24 females) showed that the canonical vector biomarker generalized to visual working memory (β = 0.36, SE = 0.136, CI = [0.023, 0.574], p = 0.037), but not inhibition task RMSSD data (β = 0.08, SE = 1.486, CI = [- 0.354, 0.657], p = 0.685). This canonical vector may represent a biomarker of autonomic regulation that explains how some older adults maintain internal LOC-Cognition as dementia progresses. Future work should further test the causality of this relationship and the modifiability of this biomarker.

摘要

控制源(LOC)描述了个体认为是自己(内部 LOC)还是外部因素(外部 LOC)对他们的生活有更大的影响。LOC 因领域而异,个体对智力能力的 LOC(LOC-Cognition)可能是痴呆风险老年人韧性的标志物,内部 LOC-Cognition 与更好的结果和改善的治疗依从性有关。迷走神经控制是副交感自主神经系统(ANS)调节的关键组成部分,可能反映了内部 LOC-Cognition 的神经生理生物标志物。我们使用典型相关分析(CCA)从心电图(听觉工作记忆期间)和功能连接(FC)数据中确定自主神经调节的共同神经生理标志物。均方根差(RMSSD)时间序列和网络间 FC 的典型变量与 65 名参与者(平均年龄 74.7,32 名女性)的内部 LOC-Cognition 显著相关(β=0.266,SE=0.971,CI=[0.190,4.073],p=0.031),这些个体中有 55 名(平均年龄 73.6,22 名女性)的随访数据表明这种关系的可靠性(β=0.271,SE=0.971,CI=[0.033,2.630],p=0.047),第二组(40 名有或无轻度认知障碍的健康认知参与者,平均年龄 72.7,24 名女性)表明,典型向量生物标志物可推广到视觉工作记忆(β=0.36,SE=0.136,CI=[0.023,0.574],p=0.037),但不能推广到抑制任务 RMSSD 数据(β=0.08,SE=1.486,CI=[-0.354,0.657],p=0.685)。这个典型向量可能代表自主调节的生物标志物,它解释了为什么一些老年人在痴呆症进展时保持内部 LOC-Cognition。未来的工作应该进一步测试这种关系的因果关系和这种生物标志物的可修饰性。