{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Coelho A"],"funding":["Fundação para a Ciência e a Tecnologia","Danmarks Grundforskningsfond","European Social Fund","Fundação Calouste Gulbenkian","FP7 Health"],"pagination":["2419-2443"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9057102"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["43(8)"],"pubmed_abstract":["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 techn"],"journal":["Human brain mapping"],"pubmed_title":["A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort."],"pmcid":["PMC9057102"],"funding_grant_id":["HEALTH‐F2‐2010‐259772","P‐139977","PD/BD/106050/2015","PDE/BDE/113604/2015","PDE/BDE/113601/2015","NORTE 2020; UMINHO/BD/51/2017","SFRH/BD/101398/2014","DNRF117","SFRH/BD/90078/2012"],"pubmed_authors":["Magalhaes R","Sousa N","Castanho T","Coelho A","Portugal-Nunes C","Amorim L","Fernandes HM","Moreira PS","Santos NC"],"additional_accession":[]},"is_claimable":false,"name":"A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort.","description":"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 techn","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jun","modification":"2025-04-05T00:27:43.014Z","creation":"2025-02-19T03:27:53.17Z"},"accession":"S-EPMC9057102","cross_references":{"pubmed":["35274787"],"doi":["10.1002/hbm.25773"]}}