Connectomics in Brain Aging and Dementia – The Background and Design of a Study of a Connectome Related to Human Disease

Frontiers in Aging Neuroscience

Yu Cheng¹  Ted Huppert²  Ricardo Bruña³  Fernando Maestu³  Rebecca E. Roush⁴  Beth E. Snitz⁴  Yue-Fang Chang⁵  Ann D. Cohen⁶  Jack Doman⁶  James T. Becker⁷  Tae Kim⁸ 

[1] Department of Biostatistics, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Electrical Engineering, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Madrid, Spain;Department of Neurology, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Neurosurgery, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Psychiatry, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Psychology, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Radiology, The University of Pittsburgh, Pittsburgh, PA, United States;Department of Statistics, The University of Pittsburgh, Pittsburgh, PA, United States;

关键词: aging;    MRI;    amyloid PET imaging;    magnetoencepalography;    Connectome Related to Human Disease;    neuropsychology;   

DOI  :  10.3389/fnagi.2021.669490

来源: DOAJ

【 摘 要 】

The natural history of Alzheimer’s Disease (AD) includes significant alterations in the human connectome, and this disconnection results in the dementia of AD. The organizing principle of our research project is the idea that the expression of cognitive dysfunction in the elderly is the result of two independent processes — the neuropathology associated with AD, and second the neuropathological changes of cerebrovascular disease. Synaptic loss, senile plaques, and neurofibrillary tangles are the functional and diagnostic hallmarks of AD, but it is the structural changes as a consequence of vascular disease that reduce brain reserve and compensation, resulting in an earlier expression of the clinical dementia syndrome. This work is being completed under the auspices of the Human Connectome Project (HCP). We have achieved an equal representation of Black individuals (vs. White individuals) and enrolled 60% Women. Each of the participants contributes demographic, behavioral and laboratory data. We acquire data relative to vascular risk, and the participants also undergo in vivo amyloid imaging, and magnetoencephalography (MEG). All of the data are publicly available under the HCP guidelines using the Connectome Coordinating Facility and the NIMH Data Archive. Locally, we use these data to address specific questions related to structure, function, AD, aging and vascular disease in multi-modality studies leveraging the differential advantages of magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), MEG, and in vivo beta amyloid imaging.

【 授权许可】

Unknown