{"doi":"10.1093/gerona/glz289","title":"Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:p>This study aimed to characterize age-related white matter changes by evaluating patterns of overlap between the linear association of age with fractional anisotropy (FA) with mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Specifically, we assessed patterns of overlap between diffusion measures of normal appearing white matter by covarying for white matter hyperintensity (WMH) load, as WMHs are thought to increase with age and impact diffusion measures. Seventy-nine healthy adults aged between 18 and 75 years took part in the study. Diffusion tensor imaging (DTI) data were based on 61 directions acquired with a b-value of 2,000. We found five main patterns of overlap: FA alone (15.95%); FA and RD (31.90%); FA and AD (12.99%); FA, RD, and AD (27.93%); and FA, RD, and MD (8.79%). We showed that cognitively healthy aging adults had low WMH load, which subsequently had minimal effect on diffusion measures. We discuss how patterns of overlap may reflect underlying biological changes observed with aging such as loss of myelination, axonal damage, as well as mild microstructural and chronic white matter impairments. This study contributes to understanding the underlying causes of degeneration in specific regions of the brain and highlights the importance of considering the impact of WMHs in aging studies of white matter.</jats:p>","journal":"The Journals of Gerontology: Series A","year":2021,"id":607610,"datarank":0.5775221402565088,"base_score":3.8501476017100584,"endowment":3.8501476017100584,"self_citation_contribution":0.5775221402565088,"citation_network_contribution":0.0,"self_endowment_contribution":0.5775221402565088,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":46,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1560281,"name":"Sinead Nugent","orcid":null,"position":1,"is_corresponding":false},{"id":1560282,"name":"Arun L W Bokde","orcid":null,"position":2,"is_corresponding":false},{"id":808817,"name":"Ciara J. Molloy","orcid":"0000-0002-6178-8861","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:p>This study aimed to characterize age-related white matter changes by evaluating patterns of overlap between the linear association of age with fractional anisotropy (FA) with mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Specifically, we assessed patterns of overlap between diffusion measures of normal appearing white matter by covarying for white matter hyperintensity (WMH) load, as WMHs are thought to increase with age and impact diffusion measures. Seventy-nine healthy adults aged between 18 and 75 years took part in the study. Diffusion tensor imaging (DTI) data were based on 61 directions acquired with a b-value of 2,000. We found five main patterns of overlap: FA alone (15.95%); FA and RD (31.90%); FA and AD (12.99%); FA, RD, and AD (27.93%); and FA, RD, and MD (8.79%). We showed that cognitively healthy aging adults had low WMH load, which subsequently had minimal effect on diffusion measures. We discuss how patterns of overlap may reflect underlying biological changes observed with aging such as loss of myelination, axonal damage, as well as mild microstructural and chronic white matter impairments. This study contributes to understanding the underlying causes of degeneration in specific regions of the brain and highlights the importance of considering the impact of WMHs in aging studies of white matter.</jats:p>","is_dataset_classified":null,"base_score":3.8501476017100584,"endowment":3.8501476017100584,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"31830253","pmcid":null,"openalex_id":"https://openalex.org/W2999113798","authors":[],"funders":[{"funder_name":"Science Foundation Ireland","grant_id":"11/RFP.1/NES/3194","title":"Brain Substrates Supporting Working Memory: Impact of APOE e4 allele and Normal Ageing"}],"total_grants":1,"fwci":3.668,"citation_percentile":0.93591234,"influential_citations":0,"citation_trend":[{"year":2020,"count":4},{"year":2021,"count":11},{"year":2022,"count":9},{"year":2023,"count":7},{"year":2024,"count":4},{"year":2025,"count":8},{"year":2026,"count":3}],"oa_status":"closed","license":"OUP Standard Publication Reuse","oa_locations":[{"url":"http://academic.oup.com/biomedgerontology/advance-article-pdf/doi/10.1093/gerona/glz289/31857342/glz289.pdf","host_type":"publisher"},{"url":"http://academic.oup.com/biomedgerontology/article-pdf/76/6/945/38097357/glz289.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/gerona/glz289","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/31830253","host_type":"repository"},{"url":"https://www.biorxiv.org/content/biorxiv/early/2019/02/04/540443.full.pdf","host_type":"Unpaywall"},{"url":"https://dx.doi.org/10.1093/gerona/glz289","host_type":""}],"fields_of_study":["Advanced Neuroimaging Techniques and Applications","Pelvic floor disorders treatments","Bone and Joint Diseases","05 social sciences","03 medical and health sciences","0302 clinical medicine","0501 psychology and cognitive sciences","Adolescent","Adult","Age Factors","Aged","Anisotropy","Brain","Diffusion Tensor Imaging","Female","Healthy Aging","Humans","Male","Middle Aged","Neuroimaging","White Matter","Young Adult"],"mesh_terms":["Healthy Aging","Adolescent","Adult","Age Factors","Aged","Brain","Female","Humans","Male","Middle Aged","Anisotropy","Young Adult","Diffusion Tensor Imaging","Neuroimaging","White Matter"],"keywords":["Fractional anisotropy","White matter","Diffusion MRI","Hyperintensity","Diffusion imaging","Cardiology","Psychology","Internal medicine","Neuroscience","Pathology","Medicine","Magnetic resonance imaging","Radiology","Diffusion Tensor Imaging","White Matter Hyperintensity","Normal Appearing White Matter","Adult","Male","Adolescent","Age Factors","Brain","Neuroimaging","Middle Aged","Healthy Aging","Young Adult","Anisotropy","Humans","Female","Aged"],"sdg_mappings":[{"sdg_number":2,"sdg_label":"2. 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