Age-Associated Cortical Thinning in Speech Motor Regions Precedes Hippocampal Decline: Implications for Alzheimer's Disease

IF 3.3 2区 医学 Q1 NEUROIMAGING
Lindsay C. Hanford, John Jacoby, David H. Salat, Steven E. Arnold, Marziye Eshghi
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Abstract

Speech-motor and cognitive impairments are commonly observed in age-related neurodegenerative diseases, including mild cognitive impairment (MCI) and Alzheimer's Disease (AD). Although there is a strong interaction between motor and cognitive functions, intact speech motor control is a crucial yet often-overlooked component of cognitive functioning. Additionally, motor decline can occur independently and may precede the onset of cognitive impairment in neurodegenerative conditions. These impairments can confound measures of higher-order cognition, typically assessed through behavioral performance. Notably, the associations between cognitive performance and biological indices of speech motor production have been largely unexplored. This study is the first to examine cognitive associations of cortical thickness in brain regions implicated in speech motor performance across the adult lifespan, and to investigate whether age-related structural changes in speech motor regions precede those seen in the hippocampus. Our sample included 699 cognitively healthy adults (56% female) spanning 35–90 years from the Human Connectome Project (HCP)-Aging dataset. Cognition was estimated using standard neuropsychological assessments including: the Trail Making Task A/B (TMT), the Rey Auditory Verbal Learning Test (RAVLT), and a cognitive composite score (summating cognitive performance across multiple tasks). Whole-brain T1- and T2-weighted MRI images were acquired using 3-Tesla scanners across multiple study sites. Structural images were preprocessed using the HCP minimal preprocessed pipelines to reconstruct cortical surfaces. Volume-based estimates including hippocampal volume and total gray matter volume were adjusted for head size using an adjusted measure of estimated Total Intracranial Volume (eTIV). Speech motor regions were investigated relative to well-characterized relationships with hippocampal volume (a hallmark region for memory and cognition and AD-related atrophy). Estimates of cortical thickness were extracted from 14 bilateral speech motor control regions spanning premotor, motor, somatosensory, insular, and prefrontal cortices. Performance across all cognitive tasks and estimates of brain structure were all highly correlated with age. After controlling for the effects of age, greater hippocampal volume remained correlated with better cognitive performance across all cognitive tasks. However, only cognitive associations with greater total gray matter volume survived correction for multiple comparisons. As expected, age associations with hippocampal volume differed between early (−0.191%/year) and late adulthood (−0.714%/year) (T = 6.179, p = 0.0002). Age associations with speech motor control regions significantly differed from the associations seen in GMV, mCT, and/or hippocampal volume across the lifespan (Pcor < 0.0001) and during late adulthood when compared separately. Half the speech motor control regions explored showed decelerated estimated percent difference per year from early and late adulthood. Our results suggest that neurocognitive relationships are highly impacted and often confounded by age. The thickness of several speech motor regions was not associated with cognitive performance and can therefore provide a more intrinsic measure of aging. Additionally, speech motor control regions decline earlier in adulthood than hippocampal volume and may therefore serve as a target and early indicator of AD-related neurodegeneration. This nuanced understanding is critical for refining early diagnostic criteria for neurodegenerative diseases, including AD, and sheds light on the complex interplay between age-related changes, disease pathology, and cognitive decline.

Abstract Image

语言运动区与年龄相关的皮层变薄先于海马体衰退:对阿尔茨海默病的影响
语言-运动和认知障碍通常在年龄相关的神经退行性疾病中观察到,包括轻度认知障碍(MCI)和阿尔茨海默病(AD)。虽然运动和认知功能之间有很强的相互作用,但完整的言语运动控制是认知功能中一个至关重要但经常被忽视的组成部分。此外,在神经退行性疾病中,运动能力下降可以独立发生,可能先于认知障碍的发生。这些损伤会混淆高阶认知的测量,通常通过行为表现来评估。值得注意的是,认知表现和语言运动产生的生物指标之间的联系在很大程度上尚未得到探索。这项研究首次研究了与成年期言语运动表现有关的大脑皮层厚度的认知关联,并调查了与年龄相关的言语运动区域结构变化是否先于海马体。我们的样本包括699名认知健康的成年人(56%为女性),年龄在35-90岁之间,来自人类连接组计划(HCP)-衰老数据集。认知使用标准的神经心理学评估来评估,包括:造径任务A/B (TMT)、雷伊听觉语言学习测试(RAVLT)和认知综合评分(综合多个任务的认知表现)。在多个研究地点使用3-Tesla扫描仪获得全脑T1和t2加权MRI图像。使用HCP最小预处理管道对结构图像进行预处理,重建皮质表面。基于体积的估计包括海马体积和总灰质体积,使用调整后的估计总颅内容积(eTIV)来调整头部大小。研究了语言运动区域与海马体积(记忆和认知以及ad相关萎缩的标志性区域)的关系。从14个双侧言语运动控制区域提取皮层厚度估计,这些区域横跨前运动、运动、体感、岛叶和前额皮质。所有认知任务的表现和对大脑结构的估计都与年龄高度相关。在控制了年龄的影响后,在所有认知任务中,更大的海马体积仍然与更好的认知表现相关。然而,只有总灰质体积较大的认知关联在多重比较中幸存下来。正如预期的那样,年龄与海马体积的相关性在成年早期(- 0.191%/年)和成年晚期(- 0.714%/年)之间存在差异(T = 6.179, p = 0.0002)。单独比较时,年龄与言语运动控制区的关联显著不同于GMV、mCT和/或海马体积在整个生命周期中的关联(Pcor < 0.0001)和成年后期的关联。一半的语言运动控制区域显示,从成年早期到成年晚期,每年的差异估计减少了百分之几。我们的研究结果表明,神经认知关系受到高度影响,而且经常受到年龄的影响。几个言语运动区域的厚度与认知表现无关,因此可以提供更内在的衰老测量。此外,言语运动控制区在成年期比海马体积下降得更早,因此可能作为ad相关神经退行性变的目标和早期指标。这种细致入微的理解对于完善包括阿尔茨海默病在内的神经退行性疾病的早期诊断标准至关重要,并揭示了年龄相关变化、疾病病理和认知能力下降之间复杂的相互作用。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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