Diffusion tensor imaging and tractography of the white matter in normal aging: The rate-of-change differs between segments within tracts.Show others and affiliations
2018 (English)In: Magnetic Resonance Imaging, ISSN 0730-725X, E-ISSN 1873-5894, Vol. 45, p. 113-119, article id S0730-725X(17)30059-0Article in journal (Refereed) Published
Abstract [en]
Knowledge concerning the normal aging of cerebral white matter will improve our understanding of abnormal changes in neurodegenerative diseases. The microstructural basis of white matter maturation and aging can be investigated using diffusion tensor imaging (DTI). Generally, diffusion anisotropy increases during childhood and adolescence followed by a decline in middle age. However, this process is subject to spatial variations between tracts. The aim of this study was to investigate to what extent age-related variations also occur within tracts. DTI parameters were compared between segments of two white matter tracts, the cingulate bundle (CB) and the inferior fronto-occipital fasciculus (IFO), in 257 healthy individuals between 13 and 84years of age. Segments of the CB and the IFO were extracted and parameters for each segment were averaged across the hemispheres. The data was analysed as a function of age. Results show that age-related changes differ both between and within individual tracts. Different age trajectories were observed in all segments of the analysed tracts for all DTI parameters. In conclusion, aging does not affect white matter tracts uniformly but is regionally specific; both between and within white matter tracts.
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 45, p. 113-119, article id S0730-725X(17)30059-0
Keywords [en]
Aging, Cingulum, Inferior fronto-occipital fasciculus, Tractography, White matter degeneration, White matter tract
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:miun:diva-38876DOI: 10.1016/j.mri.2017.03.007ISI: 000417772500015PubMedID: 28359912Scopus ID: 2-s2.0-85042654266OAI: oai:DiVA.org:miun-38876DiVA, id: diva2:1423357
2020-04-142020-04-142020-05-08Bibliographically approved