Resting-state functional magnetic resonance imaging signal variations in aging: The role of neural activity

被引:8
作者
Zhong, Xiaole Z. [1 ,2 ]
Chen, J. Jean [1 ,2 ,3 ]
机构
[1] Baycrest Hlth Sci, Rotman Res Inst, Toronto, ON, Canada
[2] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[3] Univ Toronto, Inst Biomed Engn, Toronto, ON, Canada
基金
加拿大健康研究院; 加拿大自然科学与工程研究理事会;
关键词
brain aging; electroencephalograph; fMRI signal amplitude; fMRI signal frequency; LEMON study; neurovascular coupling; resting-state fMRI; sex differences; LOW-FREQUENCY OSCILLATIONS; HEART-RATE-VARIABILITY; END-TIDAL CO2; HEMODYNAMIC-RESPONSE; CEREBRAL-CORTEX; SEX-DIFFERENCES; FMRI; FLUCTUATIONS; EEG; CONNECTIVITY;
D O I
10.1002/hbm.25823
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Resting-state functional magnetic resonance imaging (rs-fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs-fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age effects and age-sex interaction remain unclear. In this study, we examined the effects of age and sex on the rs-fMRI signal frequency using the Leipzig mind-brain-body data set. Over a frequency band of up to 0.3 Hz, we found that the rs-fMRI fluctuation frequency is higher in the older adults, although the fluctuation amplitude is lower. The rs-fMRI signal frequency is also higher in men than in women. Both age and sex effects on fMRI frequency vary with the frequency band examined but are not found in the frequency of physiological-noise components. This higher rs-fMRI frequency in older adults is not mediated by the electroencephalograph (EEG)-frequency increase but a likely link between fMRI signal frequency and EEG entropy, which vary with age and sex. Additionally, in different rs-fMRI frequency bands, the fMRI-EEG amplitude ratio is higher in young adults. This is the first study to investigate the neuronal contribution to age and sex effects in the frequency dimension of the rs-fMRI signal and may lead to the development of new, frequency-based rs-fMRI metrics. Our study demonstrates that Fourier analysis of the fMRI signal can reveal novel information about aging. Furthermore, fMRI and EEG signals reflect different aspects of age- and sex-related brain differences, but the signal frequency and complexity, instead of amplitude, may hold their link.
引用
收藏
页码:2880 / 2897
页数:18
相关论文
共 89 条
[31]   Moment-to-moment signal variability in the human brain can inform models of stochastic facilitation now [J].
Garrett, Douglas D. ;
McIntosh, Anthony R. ;
Grady, Cheryl L. .
NATURE REVIEWS NEUROSCIENCE, 2011, 12 (10) :612-612
[32]   The Importance of Being Variable [J].
Garrett, Douglas D. ;
Kovacevic, Natasa ;
McIntosh, Anthony R. ;
Grady, Cheryl L. .
JOURNAL OF NEUROSCIENCE, 2011, 31 (12) :4496-4503
[33]   Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise [J].
Garrett, Douglas D. ;
Kovacevic, Natasa ;
McIntosh, Anthony R. ;
Grady, Cheryl L. .
JOURNAL OF NEUROSCIENCE, 2010, 30 (14) :4914-4921
[34]   Simultaneous EEG and fMRI of the alpha rhythm [J].
Goldman, RI ;
Stern, JM ;
Engel, J ;
Cohen, MS .
NEUROREPORT, 2002, 13 (18) :2487-2492
[35]   Mapping the end-tidal CO2 response function in the resting-state BOLD fMRI signal: Spatial specificity, test-retest reliability and effect of fMRI sampling rate [J].
Golestani, Ali M. ;
Chang, Catie ;
Kwinta, Jonathan B. ;
Khatamian, Yasha B. ;
Chen, J. Jean .
NEUROIMAGE, 2015, 104 :266-277
[36]   Understanding variability in the BOLD signal and why it matters for aging [J].
Grady, Cheryl L. ;
Garrett, Douglas D. .
BRAIN IMAGING AND BEHAVIOR, 2014, 8 (02) :274-283
[37]   BOLD Variability is Related to Dopaminergic Neurotransmission and Cognitive Aging [J].
Guitart-Masip, Marc ;
Salami, Alireza ;
Garrett, Douglas ;
Rieckmann, Anna ;
Lindenberger, Ulman ;
Backman, Lars .
CEREBRAL CORTEX, 2016, 26 (05) :2074-2083
[38]   GENDER DIFFERENCES IN AGE EFFECT ON BRAIN ATROPHY MEASURED BY MAGNETIC-RESONANCE-IMAGING [J].
GUR, RC ;
MOZLEY, PD ;
RESNICK, SM ;
GOTTLIEB, GL ;
KOHN, M ;
ZIMMERMAN, R ;
HERMAN, G ;
ATLAS, S ;
GROSSMAN, R ;
BERRETTA, D ;
ERWIN, R ;
GUR, RE .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1991, 88 (07) :2845-2849
[39]   Normal Cognitive Aging [J].
Harada, Caroline N. ;
Love, Marissa C. Natelson ;
Triebel, Kristen L. .
CLINICS IN GERIATRIC MEDICINE, 2013, 29 (04) :737-+
[40]   A Simulation Framework for Benchmarking EEG-Based Brain Connectivity Estimation Methodologies [J].
Haufe, Stefan ;
Ewald, Arne .
BRAIN TOPOGRAPHY, 2019, 32 (04) :625-642