biostudies-literatureCoelho AFundação para a Ciência e a TecnologiaDanmarks GrundforskningsfondEuropean Social FundFundação Calouste GulbenkianFP7 Health2419-2443https://www.ebi.ac.uk/biostudies/studies/S-EPMC9057102biostudies-literatureUnknown43(8)Connectivity-based parcellation (CBP) methods are used to define homogenous and biologically meaningful parcels or nodes-the foundations of brain network fingerprinting-by grouping voxels with similar patterns of brain connectivity. However, we still lack a gold standard method and the use of CBPs to study the aging brain remains scarce. Our study proposes a novel CBP method from diffusion MRI data and shows its potential to produce a more accurate characterization of the longitudinal alterations in brain network topology occurring in aging. For this, we constructed whole-brain connectivity maps from diffusion MRI data of two datasets: an aging cohort evaluated at two timepoints (mean interval time: 52.8 ± 7.24 months) and a normative adult cohort-MGH-HCP. State-of-the-art clustering technHuman brain mappingA novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort.PMC9057102HEALTH‐F2‐2010‐259772P‐139977PD/BD/106050/2015PDE/BDE/113604/2015PDE/BDE/113601/2015NORTE 2020; UMINHO/BD/51/2017SFRH/BD/101398/2014DNRF117SFRH/BD/90078/2012Magalhaes RSousa NCastanho TCoelho APortugal-Nunes CAmorim LFernandes HMMoreira PSSantos NCfalseA novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort.Connectivity-based parcellation (CBP) methods are used to define homogenous and biologically meaningful parcels or nodes-the foundations of brain network fingerprinting-by grouping voxels with similar patterns of brain connectivity. However, we still lack a gold standard method and the use of CBPs to study the aging brain remains scarce. Our study proposes a novel CBP method from diffusion MRI data and shows its potential to produce a more accurate characterization of the longitudinal alterations in brain network topology occurring in aging. For this, we constructed whole-brain connectivity maps from diffusion MRI data of two datasets: an aging cohort evaluated at two timepoints (mean interval time: 52.8 ± 7.24 months) and a normative adult cohort-MGH-HCP. State-of-the-art clustering techn2022-01-01T00:00:00Z2022 Jun2025-04-05T00:27:43.014Z2025-02-19T03:27:53.17ZS-EPMC90571023527478710.1002/hbm.25773