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White matter fiber density abnormalities in cognitively normal adults at risk for late-onset Alzheimer´s disease
Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina.
Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina.
Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Institute for Biomedical Research (BIOMED), Pontifical Catholic University of Argentina, Argentina.
Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Argentina / Laboratorio de Neuroimágenes, Departamento de Imágenes, Fundación FLENI, Argentina.
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2020 (English)In: Journal of Psychiatric Research, ISSN 0022-3956, E-ISSN 1879-1379, Vol. 122, p. 79-87Article in journal (Refereed) Published
Abstract [en]

Tau accumulation affecting white matter tracts is an early neuropathological feature of late-onset Alzheimer’s disease (LOAD). There is a need to ascertain methods for the detection of early LOAD features to help with disease prevention efforts. The microstructure of these tracts and anatomical brain connectivity can be assessed by analyzing diffusion MRI (dMRI) data. Considering that family history increases the risk of developing LOAD, we explored the microstructure of white matter through dMRI in 23 cognitively normal adults who are offspring of patients with Late-Onset Alzheimer’s Disease (O-LOAD) and 22 control subjects (CS) without family history of AD. We also evaluated the relation of white matter microstructure metrics with cortical thickness, volumetry, in vivo amyloid deposition (with the help of PiB positron emission tomography -PiB-PET) and regional brain metabolism (as FDG-PET) measures. Finally we studied the association between cognitive performance and white matter microstructure metrics. O-LOAD exhibited lower fiber density and fractional anisotropy in the posterior portion of the corpus callosum and right fornix when compared to CS. Among O-LOAD, reduced fiber density was associated with lower amyloid deposition in the right hippocampus, and greater cortical thickness in the left precuneus, while higher mean diffusivity was related with greater cortical thickness of the right superior temporal gyrus. Additionally, compromised white matter microstructure was associated with poorer semantic fluency. In conclusion, white matter microstructure metrics may reveal early differences in O-LOAD by virtue of parental history of the disorder, when compared to CS without a family history of LOAD. We demonstrate that these differences are associated with lower fiber density in the posterior portion of the corpus callosum and the right fornix.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 122, p. 79-87
Keywords [en]
Diffusion MRI, white matter microstructure, preclinical late-onset Alzheimer’s disease, amyloid deposition, cognitive tests, corpus callosum
National Category
Neurosciences Neurology Psychiatry
Research subject
Individual and Society VIDSOC
Identifiers
URN: urn:nbn:se:his:diva-18079DOI: 10.1016/j.jpsychires.2019.12.019ISI: 000515429000012PubMedID: 31931231Scopus ID: 2-s2.0-85077658603OAI: oai:DiVA.org:his-18079DiVA, id: diva2:1384560
Available from: 2020-01-10 Created: 2020-01-10 Last updated: 2020-04-22Bibliographically approved

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Gustafson, Deborah R.

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