Age-Related Regional Network Covariance of Magnetic Resonance Imaging Gray Matter in the Rat

被引：18

作者：

Alexander, Gene E. ^{[1
,2
,3
,4
,5
,6
]}

Lin, Lan ^{[1
,3
,6
]}

Yoshimaru, Eriko S. ^{[7
]}

Bharadwaj, Pradyumna K. ^{[1
,3
,6
]}

Bergfield, Kaitlin L. ^{[3
,4
,6
]}

Hoang, Lan T. ^{[3
,6
,8
]}

Chawla, Monica K. ^{[3
,6
,8
]}

Chen, Kewei ^{[6
,9
,10
]}

Moeller, James R. ^{[5
,11
]}

Barnes, Carol A. ^{[1
,3
,4
,6
,8
,12
,13
]}

Trouard, Theodore P. ^{[3
,6
,7
]}

机构：

[1] Univ Arizona, Dept Psychol, Tucson, AZ 85721 USA

[2] Univ Arizona, Dept Psychiat, Tucson, AZ 85721 USA

[3] Univ Arizona, Evelyn F McKnight Brain Inst, Tucson, AZ 85721 USA

[4] Univ Arizona, Neurosci Grad Interdisciplinary Program, Tucson, AZ 85721 USA

[5] Univ Arizona, Physiol Sci Grad Interdisciplinary Program, Tucson, AZ 85721 USA

[6] Arizona Alzheimers Consortium, Phoenix, AZ 85014 USA

[7] Univ Arizona, Dept Biomed Engn, Tucson, AZ USA

[8] Univ Arizona, Div Neural Syst Memory & Aging, Tucson, AZ USA

[9] Banner Samaritan PET Ctr, Phoenix, AZ USA

[10] Banner Alzheimers Inst Banner Good Samaritan Med, Phoenix, AZ USA

[11] Columbia Univ, Dept Psychiat, Vagelos Coll Phys & Surg, Irving Med Ctr, New York, NY USA

[12] Univ Arizona, Dept Neurol, Tucson, AZ USA

[13] Univ Arizona, Dept Neurosci, Tucson, AZ USA

来源：

FRONTIERS IN AGING NEUROSCIENCE | 2020年 / 12卷

基金：

美国国家卫生研究院;

关键词：

aging; behavior; prefrontal cortex; perirhinal cortex; structural covariance; scaled subprofile model; COGNITIVE RESERVE; PARKINSONS-DISEASE; BRAIN; PATTERNS; VOLUME; ADULT; MRI; ASSOCIATION; PERFORMANCE; MORPHOMETRY;

D O I：

10.3389/fnagi.2020.00267

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Healthy human aging has been associated with brain atrophy in prefrontal and selective temporal regions, but reductions in other brain areas have been observed. We previously found regional covariance patterns of gray matter with magnetic resonance imaging (MRI) in healthy humans and rhesus macaques, using multivariate network Scaled Subprofile Model (SSM) analysis and voxel-based morphometry (VBM), supporting aging effects including in prefrontal and temporal cortices. This approach has yet to be applied to neuroimaging in rodent models of aging. We investigated 7.0T MRI gray matter covariance in 10 young and 10 aged adult male Fischer 344 rats to identify, using SSM VBM, the age-related regional network gray matter covariance pattern in the rodent. SSM VBM identified a regional pattern that distinguished young from aged rats, characterized by reductions in prefrontal, temporal association/perirhinal, and cerebellar areas with relative increases in somatosensory, thalamic, midbrain, and hippocampal regions. Greater expression of the age-related MRI gray matter pattern was associated with poorer spatial learning in the age groups combined. Aging in the rat is characterized by a regional network pattern of gray matter reductions corresponding to aging effects previously observed in humans and non-human primates. SSM MRI network analyses can advance translational aging neuroscience research, extending from human to small animal models, with potential for evaluating mechanisms and interventions for cognitive aging.

引用

页数：9

共 55 条

[1]

Alexander GE, 1997, AM J PSYCHIAT, V154, P165

[2] Individual differences in PET activation of object perception and attention systems predict face matching accuracy [J].