Significant Acceleration of Regional Brain Aging and Atrophy After Mild Traumatic Brain Injury

被引:10
作者
Shida, Alexander F. [1 ]
Massett, Roy J. [1 ]
Imms, Phoebe [1 ]
Vegesna, Ramanand V. [1 ]
Amgalan, Anar [1 ]
Irimia, Andrei [1 ,2 ,3 ]
机构
[1] Univ Southern Calif, Ethel Percy Andrus Gerontol Ctr, Leonard Davis Sch Gerontol, Los Angeles, CA USA
[2] Univ Southern Calif, Corwin D Denney Res Ctr, Viterbi Sch Engn, Dept Biomed Engn, Los Angeles, CA USA
[3] Univ Southern Calif, Dana & David Dornsife Coll Arts & Sci, Dept Quantitat & Computat Biol, Los Angeles, CA USA
来源
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES | 2023年 / 78卷 / 08期
关键词
Brain aging; Gender differences; Human aging; Imaging; SURFACE-BASED ANALYSIS; ALZHEIMERS-DISEASE; COGNITIVE IMPAIRMENT; SUBCORTICAL ATROPHY; ADULT COGNITION; WORKING-MEMORY; THALAMUS; AGE; CONNECTIVITY; DEMENTIA;
D O I
10.1093/gerona/glad079
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
Brain regions' rates of age-related volumetric change after traumatic brain injury (TBI) are unknown. Here, we quantify these rates cross-sectionally in 113 persons with recent mild TBI (mTBI), whom we compare against 3 418 healthy controls (HCs). Regional gray matter (GM) volumes were extracted from magnetic resonance images. Linear regression yielded regional brain ages and the annualized average rates of regional GM volume loss. These results were compared across groups after accounting for sex and intracranial volume. In HCs, the steepest rates of volume loss were recorded in the nucleus accumbens, amygdala, and lateral orbital sulcus. In mTBI, approximately 80% of GM structures had significantly steeper rates of annual volume loss than in HCs. The largest group differences involved the short gyri of the insula and both the long gyrus and central sulcus of the insula. No significant sex differences were found in the mTBI group, regional brain ages being the oldest in prefrontal and temporal structures. Thus, mTBI involves significantly steeper regional GM loss rates than in HCs, reflecting older-than-expected regional brain ages.
引用
收藏
页码:1328 / 1338
页数:11
相关论文
共 61 条
[1]   Interactions of Oxidative Stress and Neurovascular Inflammation in the Pathogenesis of Traumatic Brain Injury [J].
Abdul-Muneer, P. M. ;
Chandra, Namas ;
Haorah, James .
MOLECULAR NEUROBIOLOGY, 2015, 51 (03) :966-979
[2]   Reduced amygdala volumes are related to motor and cognitive signs in Huntington's disease: The IMAGE-HD study [J].
Ahveninena, Lotta M. ;
Stouta, Julie C. ;
Georgiou-Karistianisa, Nellie ;
Lorenzettia, Valentina ;
Glikmann-Johnston, Yifat .
NEUROIMAGE-CLINICAL, 2018, 18 :881-887
[3]   Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data [J].
Baecker, Lea ;
Dafflon, Jessica ;
da Costa, Pedro F. ;
Garcia-Dias, Rafael ;
Vieira, Sandra ;
Scarpazza, Cristina ;
Calhoun, Vince D. ;
Sato, Joao R. ;
Mechelli, Andrea ;
Pinaya, Walter H. L. .
HUMAN BRAIN MAPPING, 2021, 42 (08) :2332-2346
[4]   More than Addiction-The Nucleus Accumbens Contribution to Development of Mental Disorders and Neurodegenerative Diseases [J].
Bayassi-Jakowicka, Martyna ;
Lietzau, Grazyna ;
Czuba, Ewelina ;
Patrone, Cesare ;
Kowianski, Przemyslaw .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (05)
[5]   Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation [J].
Beheshti, Iman ;
Ganaie, M. A. ;
Paliwal, Vardhan ;
Rastogi, Aryan ;
Razzak, Imran ;
Tanveer, M. .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (04) :1432-1440
[6]   Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme [J].
Beheshti, Iman ;
Nugent, Scott ;
Potvin, Olivier ;
Duchesne, Simon .
NEUROIMAGE-CLINICAL, 2019, 24
[7]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[8]   Neural plasticity in the ageing brain [J].
Burke, SN ;
Barnes, CA .
NATURE REVIEWS NEUROSCIENCE, 2006, 7 (01) :30-40
[9]   Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss [J].
Cheng, Jian ;
Liu, Ziyang ;
Guan, Hao ;
Wu, Zhenzhou ;
Zhu, Haogang ;
Jiang, Jiyang ;
Wen, Wei ;
Tao, Dacheng ;
Liu, Tao .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 40 (12) :3400-3412
[10]   STATISTICAL-METHODS FOR COMPARING REGRESSION-COEFFICIENTS BETWEEN MODELS [J].
CLOGG, CC ;
PETKOVA, E ;
HARITOU, A .
AMERICAN JOURNAL OF SOCIOLOGY, 1995, 100 (05) :1261-1293