Depthwise cortical iron relates to functional connectivity and fluid cognition in healthy aging

被引:0
作者
Merenstein, Jenna L. [1 ]
Zhao, Jiayi [1 ]
Madden, David J. [1 ,2 ,3 ]
机构
[1] Duke Univ, Med Ctr, Brain Imaging & Anal Ctr, Durham, NC 27710 USA
[2] Duke Univ, Med Ctr, Dept Psychiat & Behav Sci, Durham, NC 27710 USA
[3] Duke Univ, Ctr Cognit Neurosci, Durham, NC 27708 USA
关键词
Graph theory; Quantitative susceptibility mapping; Resting-state fMRI; Cortical depth analyses; Adult lifespan; HUMAN CEREBRAL-CORTEX; SUSCEPTIBILITY MAPPING QSM; MOTION ARTIFACT; BRAIN IRON; CONFOUND REGRESSION; STATE; AGE; MATTER; STRATEGIES; FRAMEWORK;
D O I
10.1016/j.neurobiolaging.2025.01.006
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
Age-related differences in fluid cognition have been associated with both the merging of functional brain networks, defined from resting-state functional magnetic resonance imaging (rsfMRI), and with elevated cortical iron, assessed by quantitative susceptibility mapping (QSM). Limited information is available, however, regarding the depthwise profile of cortical iron and its potential relation to functional connectivity. Here, using an adult lifespan sample (n = 138; 18-80 years), we assessed relations among graph theoretical measures of functional connectivity, column-based depthwise measures of cortical iron, and fluid cognition (i.e., tests of memory, perceptual-motor speed, executive function). Increased age was related both to less segregated functional networks and to increased cortical iron, especially for superficial depths. Functional network segregation mediated age-related differences in memory, whereas depthwise iron mediated age-related differences in general fluid cognition. Lastly, higher mean parietal iron predicted lower network segregation for adults younger than 45 years of age. These findings suggest that functional connectivity and depthwise cortical iron have distinct, complementary roles in the relation between age and fluid cognition in healthy adults.
引用
收藏
页码:27 / 40
页数:14
相关论文
共 114 条
  • [1] Acosta-Cabronero J., Betts M.J., Cardenas-Blanco A., Yang S., Nestor P.J., In vivo MRI mapping of brain iron deposition across the adult lifespan, J. Neurosci., 36, 2, pp. 364-374, (2016)
  • [2] Ahmed M., Chen J., Arani A., Senjem M.L., Cogswell P.M., Jack C.R., Liu C., The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation reveals pathological alteration in Alzheimer's disease-driven neurodegeneration, NeuroImage, 280, (2023)
  • [3] Alakorkko T., Saarimaki H., Glerean E., Saramaki J., Korhonen O., Effects of spatial smoothing on functional brain networks, Eur. J. Neurosci., 46, 9, pp. 2471-2480, (2017)
  • [4] Avants B.B., Tustison N.J., Song G., Cook P.A., Klein A., Gee J.C., A reproducible evaluation of ANTs similarity metric performance in brain image registration, Neuroimage, 54, 3, pp. 2033-2044, (2011)
  • [5] Bach M., The Freiburg Visual Acuity Test - Automatic measurement of visual acuity, Optom. Vis. Sci., 73, 1, pp. 49-53, (1996)
  • [6] Bauer D.J., Curran P.J., Probing interactions in fixed and multilevel regression: Inferential and graphical techniques, Multivar. Behav. Res., 40, 3, pp. 373-400, (2005)
  • [7] Beck A.T., (1978)
  • [8] Benjamini Y., Hochberg Y., Controlling the false discovery rate: A practical and powerful approach to multiple testing, J. Roy. Stat. Soc. Ser. B. (Stat. Method., 57, 1, pp. 289-300, (1995)
  • [9] Betts M.J., Acosta-Cabronero J., Cardenas-Blanco A., Nestor P.J., Duzel E., High-resolution characterisation of the aging brain using simultaneous quantitative susceptibility mapping (QSM) and R2* measurements at 7T, Neuroimage, 138, pp. 43-63, (2016)
  • [10] Bhattarai A., Chen Z., Ward P.G.D., Talman P., Mathers S., Phan T.G., Chapman C., Howe J., Lee S., Lie Y., Egan G.F., Chua P., Serial assessment of iron in the motor cortex in limb-onset amyotrophic lateral sclerosis using quantitative susceptibility mapping, Quant. Imaging Med. Surg., 10, 7, pp. 1465-1476, (2020)