A longitudinal study of functional brain complexity in progressive Alzheimer's disease

被引:0
作者
Zhang, Ru [1 ]
Aksman, Leon [2 ]
Wijesinghe, Dilmini [1 ]
Ringman, John M. [3 ]
Wang, Danny J. J. [1 ]
Jann, Kay [1 ]
Alzheimers Dis Neuroimaging Initiative
机构
[1] Univ Southern Calif, Mark & Mary Stevens Neuroimaging & Informat Inst, Keck Sch Med, Lab Funct MRI Technol, 2025 Zonal Ave, Los Angeles, CA 90033 USA
[2] Univ Southern Calif, Mark & Mary Stevens Neuroimaging & Informat Inst, Keck Sch Med, Lab Neuro Imaging, Los Angeles, CA USA
[3] Univ Southern Calif, Memory & Aging Ctr, Keck Sch Med, Los Angeles, CA USA
基金
美国国家卫生研究院; 加拿大健康研究院;
关键词
Alzheimer's disease; complexity analysis; functional magnetic resonance imaging; longitudinal study; mild cognitive impairment; resting state; MILD COGNITIVE IMPAIRMENT; APOE GENOTYPE; CONNECTIVITY; FMRI; MRI; BIOMARKERS; ENTROPY;
D O I
10.1002/dad2.70059
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
INTRODUCTIONCross-sectional resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed altered complexity with advanced Alzheimer's disease (AD) stages. The current study conducted longitudinal rsfMRI complexity analyses in AD. METHODSLinear mixed-effects (LME) models were implemented to evaluate altered rates of disease progression in complexity across disease groups. RESULTSThe LME models revealed complexity of the higher frequency in the CNtoMCI group (those converted from cognitively normal [CN] to mild cognitive impairment [MCI]) decayed faster over time versus CN in the prefrontal and lateral occipital cortex; complexity of the lower frequency decayed faster in AD versus CN in various frontal and temporal regions (p < 0.05 & Benjamini-Hochberg corrected with q < 0.05). DISCUSSIONLocal functional brain activities decayed in the early stage of the disease, and long-range communications were impacted in the later stage. Our study demonstrated longitudinal changes in AD-related rsfMRI complexity, indicating its potential as an imaging biomarker of AD.
引用
收藏
页数:11
相关论文
共 41 条
[1]  
Badhwar AmanPreet, 2017, Alzheimers Dement (Amst), V8, P73, DOI 10.1016/j.dadm.2017.03.007
[2]   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
[3]   Multiscale entropy analysis of complex physiologic time series [J].
Costa, M ;
Goldberger, AL ;
Peng, CK .
PHYSICAL REVIEW LETTERS, 2002, 89 (06) :1-068102
[4]   An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest [J].
Desikan, Rahul S. ;
Segonne, Florent ;
Fischl, Bruce ;
Quinn, Brian T. ;
Dickerson, Bradford C. ;
Blacker, Deborah ;
Buckner, Randy L. ;
Dale, Anders M. ;
Maguire, R. Paul ;
Hyman, Bradley T. ;
Albert, Marilyn S. ;
Killiany, Ronald J. .
NEUROIMAGE, 2006, 31 (03) :968-980
[5]   Hurst Exponent Analysis of Resting-State fMRI Signal Complexity across the Adult Lifespan [J].
Dong, Jianxin ;
Jing, Bin ;
Ma, Xiangyu ;
Liu, Han ;
Mo, Xiao ;
Li, Haiyun .
FRONTIERS IN NEUROSCIENCE, 2018, 12
[6]   APOE4 is associated with cognitive and pathological heterogeneity in patients with Alzheimer's disease: a systematic review [J].
Emrani, Sheina ;
Arain, Hirra A. ;
DeMarshall, Cassandra ;
Nuriel, Tal .
ALZHEIMERS RESEARCH & THERAPY, 2020, 12 (01)
[7]   Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis [J].
Eyler, Lisa T. ;
Elman, Jeremy A. ;
Hatton, Sean N. ;
Gough, Sarah ;
Mischel, Anna K. ;
Hagler, Donald J. ;
Franz, Carol E. ;
Docherty, Anna ;
Fennema-Notestine, Christine ;
Gillespie, Nathan ;
Gustayson, Daniel ;
Lyons, Michael J. ;
Neale, Michael C. ;
Panizzon, Matthew S. ;
Dale, Anders M. ;
Kremen, William S. .
JOURNAL OF ALZHEIMERS DISEASE, 2019, 70 (01) :107-120
[8]   Default Mode Network Complexity and Cognitive Decline in Mild Alzheimer's Disease [J].
Grieder, Matthias ;
Wang, Danny J. J. ;
Dierks, Thomas ;
Wahlund, Lars-Olof ;
Jann, Kay .
FRONTIERS IN NEUROSCIENCE, 2018, 12
[9]   Mild cognitive impairment can be distinguished from Alzheimer disease and normal aging for clinical trials [J].
Grundman, M ;
Petersen, RC ;
Ferris, SH ;
Thomas, RG ;
Aisen, PS ;
Bennett, DA ;
Foster, NL ;
Jack, CR ;
Galasko, DR ;
Doody, R ;
Kaye, J ;
Sano, M ;
Mohs, R ;
Gauthier, S ;
Kim, HT ;
Jin, S ;
Schultz, AN ;
Schafer, K ;
Mulnard, R ;
van Dyck, CH ;
Mintzer, J ;
Zamrini, EY ;
Cahn-Weiner, D ;
Thal, LJ .
ARCHIVES OF NEUROLOGY, 2004, 61 (01) :59-66
[10]   Alzheimer disease in the United States (2010-2050) estimated using the 2010 census [J].
Hebert, Liesi E. ;
Weuve, Jennifer ;
Scherr, Paul A. ;
Evans, Denis A. .
NEUROLOGY, 2013, 80 (19) :1778-1783