Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging

被引:0
|
作者
Stanislau Hrybouski
Ivor Cribben
John McGonigle
Fraser Olsen
Rawle Carter
Peter Seres
Christopher R. Madan
Nikolai V. Malykhin
机构
[1] University of Alberta,Neuroscience and Mental Health Institute
[2] University of Alberta,Department of Accounting and Business Analytics, Alberta School of Business
[3] Imperial College London,Department of Brain Sciences
[4] University of Alberta,Department of Biomedical Engineering
[5] University of Alberta,Department of Psychiatry, Faculty of Medicine and Dentistry
[6] University of Nottingham,School of Psychology
来源
Brain Structure and Function | 2021年 / 226卷
关键词
High-field fMRI; Resting-state fMRI; Brain aging; Network amplitude; Sparse graphs;
D O I
暂无
中图分类号
学科分类号
摘要
Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC. However, the majority of such FC studies did not investigate the relationship between age and network amplitude, without which correlation-based measures of FC can be challenging to interpret. Consequently, the main aim of this study was to investigate how three primary measures of resting-state fMRI signal—network amplitude, network topography, and inter-network FC—are affected by healthy cognitive aging. We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18–85 years of age). To study age differences in network structure, we combined ICA-based network decomposition with sparse graphical models. Older adults displayed lower blood-oxygen-level-dependent (BOLD) signal amplitude in all functional systems, with sensorimotor networks showing the largest age differences. Our age comparisons of network topography and inter-network FC demonstrated a substantial amount of age invariance in the brain’s functional architecture. Despite architecture similarities, old adults displayed a loss of communication efficiency in our inter-network FC comparisons, driven primarily by the FC reduction in frontal and parietal association cortices. Together, our results provide a comprehensive overview of age effects on fMRI-based FC.
引用
收藏
页码:1067 / 1098
页数:31
相关论文
共 50 条
  • [31] Altered Functional Connectivity in Patients with Subcortical Vascular Cognitive Impairment-A Resting-State Functional Magnetic Resonance Imaging Study
    Ding, Weina
    Cao, Wenwei
    Wang, Yao
    Sun, Yawen
    Chen, Xue
    Zhou, Yan
    Xu, Qun
    Xu, Jianrong
    PLOS ONE, 2015, 10 (09):
  • [32] Neonatal brain resting-state functional connectivity imaging modalities
    Mohammadi-Nejad, Ali-Reza
    Mahmoudzadeh, Mahdi
    Hassanpour, Mahlega S.
    Wallois, Fabrice
    Muzik, Otto
    Papadelis, Christos
    Hansen, Anne
    Soltanian-Zadeh, Hamid
    Gelovani, Juri
    Nasiriavanaki, Mohammadreza
    PHOTOACOUSTICS, 2018, 10 : 1 - 19
  • [33] Intrinsic brain abnormalities in young healthy adults with childhood trauma: A resting-state functional magnetic resonance imaging study of regional homogeneity and functional connectivity
    Lu, Shaojia
    Gao, Weijia
    Wei, Zhaoguo
    Wang, Dandan
    Hu, Shaohua
    Huang, Manli
    Xu, Yi
    Li, Lingjiang
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2017, 51 (06): : 614 - 623
  • [34] Model-based estimation of dynamic functional connectivity in resting-state functional magnetic resonance imaging
    Maryam Behboudi
    Rahman Farnoosh
    Mohammad Ali Oghabian
    Mathematical Sciences, 2017, 11 : 287 - 296
  • [35] Exploring Corticospinal Functional Connectome Using Resting-State Functional Magnetic Resonance Imaging
    Kaptan, Merve
    Law, Christine S. W.
    Weber, Kenneth Arnold
    Pfyffer, Dario
    Zhang, Xue
    Maronesy, Tara
    Glover, Gary
    Mackey, Sean
    JOURNAL OF PAIN, 2023, 24 (04): : 17 - 18
  • [36] Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging
    Nikolaou, F.
    Orphanidou, C.
    Papakyriakou, P.
    Murphy, K.
    Wise, R. G.
    Mitsis, G. D.
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2016, 374 (2067):
  • [37] Model-based estimation of dynamic functional connectivity in resting-state functional magnetic resonance imaging
    Behboudi, Maryam
    Farnoosh, Rahman
    Oghabian, Mohammad Ali
    MATHEMATICAL SCIENCES, 2017, 11 (04) : 287 - 296
  • [38] Resting-State Functional Magnetic Resonance Imaging and Functional Connectivity Density Mapping in Patients With Optic Neuritis
    Song, Ke
    Wang, Yong
    Ren, Mei-Xia
    Li, Jiao
    Su, Ting
    Chen, Si-Yi
    Shao, Yi
    Lv, Ya-Li
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [39] Measuring functional connectivity in patients with strabismus using stationary functional magnetic resonance imaging: a resting-state network study
    Yu, Kang
    Lin, Qi
    Ge, Qian-Min
    Yu, Chen-Yu
    Li, Qiu-Yu
    Pan, Yi-Cong
    Shao, Yi
    ACTA RADIOLOGICA, 2022, 63 (01) : 110 - 121
  • [40] Effect of Oxytocin on resting state brain functional connectivity: A functional magnetic resonance imaging study
    Jacob, Arpitha A.
    Rao, Naren P.
    Varambally, Shivarama
    Venkatasubramanian, Ganesan
    Bangalore, Gangadhar N.
    INDIAN JOURNAL OF PSYCHIATRY, 2015, 57 (05) : S104 - S104