PMID- 37702277
OWN - NLM
STAT- MEDLINE
DCOM- 20240408
LR  - 20240408
IS  - 1522-2586 (Electronic)
IS  - 1053-1807 (Linking)
VI  - 59
IP  - 5
DP  - 2024 May
TI  - Tracking Age-Related Topological Changes in Individual Brain Morphological 
      Networks Across the Human Lifespan.
PG  - 1841-1851
LID - 10.1002/jmri.28984 [doi]
AB  - BACKGROUND: Many studies have shown topological alterations associated with age 
      in population-based brain morphological networks. However, it is not clear how 
      individual brain morphological networks change with age across the lifespan. 
      PURPOSE: To characterize age-related topological changes in individual networks 
      and investigate the relationships between individual- and group-based brain 
      networks at the nodal, modular, and connectome levels. STUDY TYPE: Retrospective 
      analysis. POPULATION: One hundred seventy-nine healthy subjects (108 males and 71 
      females), aged 6-85 years with a median age of 32 years and an inter-quartile 
      range (IQR) of 26 years. FIELD STRENGTH/SEQUENCE: T1-weighted images using the 
      magnetization-prepared rapid gradient echo (MPRAGE) sequences. ASSESSMENT: Two 
      nodal-level indicators (nodal similarity and node matching), five modular-level 
      indicators (modularity, intra/inter-module similarity, adjusted mutual 
      information [AMI], and module variation), and five connectome-level indicators 
      (global efficiency, characteristic path length, clustering coefficient, local 
      efficiency, and individual contribution) were calculated in brain morphological 
      networks. Regression models for different indicators were built to examine their 
      lifetime trajectory patterns. STATISTICAL TESTS: Single-sample t-test, Mantel's 
      test, Pearson correlation coefficient. A P value <0.05 was considered 
      statistically significant. RESULTS: Among 68 nodes, 34 nodes showed significant 
      age-related patterns (all P < 0.05, FDR-corrected) in nodal similarity, including 
      linear decline and quadratic trends. The lifespan trajectory of the 
      connectome-level topological attributes of the individual networks presented 
      U-shaped or inverse U-shaped trends with age. Between the individual- and 
      group-based brain networks, the average nodal similarity was 0.67 and the average 
      AMI of module partitions was 0.57. DATA CONCLUSION: The lifespan trajectories of 
      the nodal similarity mainly followed linear decreasing and nonlinear trends, 
      whereas the modularity and the global topological attributes exhibited nonlinear 
      patterns. There was a high degree of consistency at both nodal similarity and 
      modular division between the individual and group networks. EVIDENCE LEVEL: 1 
      TECHNICAL EFFICACY: Stage 1.
CI  - (c) 2023 International Society for Magnetic Resonance in Medicine.
FAU - Li, Jingming
AU  - Li J
AD  - School of Artificial Intelligence, Beijing Normal University, Beijing, China.
FAU - Wang, Qian
AU  - Wang Q
AD  - School of Artificial Intelligence, Beijing Normal University, Beijing, China.
FAU - Li, Ke
AU  - Li K
AD  - Strategic Support Force Medical Center, Beijing, China.
FAU - Yao, Li
AU  - Yao L
AD  - School of Artificial Intelligence, Beijing Normal University, Beijing, China.
FAU - Guo, Xiaojuan
AU  - Guo X
AUID- ORCID: 0000-0003-2744-1474
AD  - School of Artificial Intelligence, Beijing Normal University, Beijing, China.
AD  - Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal 
      University, Beijing, China.
LA  - eng
GR  - 61731003/Key Program of the National Natural Science Foundation of China/
GR  - 61671066/National Natural Science Foundation of China/
GR  - 62071051/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20230913
PL  - United States
TA  - J Magn Reson Imaging
JT  - Journal of magnetic resonance imaging : JMRI
JID - 9105850
SB  - IM
MH  - Male
MH  - Female
MH  - Humans
MH  - Adult
MH  - *Longevity
MH  - Retrospective Studies
MH  - Brain/diagnostic imaging/anatomy & histology
MH  - Magnetic Resonance Imaging/methods
MH  - *Connectome/methods
OTO - NOTNLM
OT  - individual brain network
OT  - lifespan
OT  - structural
OT  - topological alterations
EDAT- 2023/09/13 12:42
MHDA- 2024/04/08 06:42
CRDT- 2023/09/13 06:42
PHST- 2023/08/15 00:00 [revised]
PHST- 2023/06/15 00:00 [received]
PHST- 2023/08/15 00:00 [accepted]
PHST- 2024/04/08 06:42 [medline]
PHST- 2023/09/13 12:42 [pubmed]
PHST- 2023/09/13 06:42 [entrez]
AID - 10.1002/jmri.28984 [doi]
PST - ppublish
SO  - J Magn Reson Imaging. 2024 May;59(5):1841-1851. doi: 10.1002/jmri.28984. Epub 
      2023 Sep 13.