Shades of white: diffusion properties of T1- and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia: diffusion properties of T1- and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia
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| Title: | Shades of white: diffusion properties of T1- and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia: diffusion properties of T1- and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia |
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| Authors: | Lies Clerx, Dimo Ivanov, Pauline Aalten, Frans R.J. Verhey, David H. Salat, Joost M. Riphagen, Whitney M. Freeze, Heidi I.L. Jacobs, Ed H.B.M. Gronenschild |
| Source: | Neurobiology of Aging. 68:48-58 |
| Publisher Information: | Elsevier BV, 2018. |
| Publication Year: | 2018 |
| Subject Terms: | PARTICIPANTS AGED 24-81, Male, Aging, Alzheimer Disease/diagnostic imaging, Cognitive Dysfunction/diagnostic imaging, Neuroimaging, White matter hyper intensities, SURFACE-BASED ANALYSIS, Severity of Illness Index, 03 medical and health sciences, SMALL VESSEL DISEASE, MAGNETIC-RESONANCE IMAGES, Cognition, 0302 clinical medicine, Alzheimer Disease, Journal Article, 80 and over, Humans, Cognitive Dysfunction, Cognitive Aging/physiology, 10. No inequality, CORTICAL SURFACE, Aged, Aged, 80 and over, White Matter/diagnostic imaging, White matter, MULTIPLE-SCLEROSIS LESIONS, TEMPORAL-LOBE ATROPHY, AGING BRAIN, ALZHEIMERS ASSOCIATION WORKGROUPS, Alzheimer's disease, Dementia/diagnostic imaging, Middle Aged, White Matter, 3. Good health, Diffusion tensor imaging, Diffusion Magnetic Resonance Imaging, Cognitive Aging, Disease Progression, Dementia, Female, HUMAN CEREBRAL-CORTEX, MRI |
| Description: | The underlying pathology of white matter signal abnormalities (WMSAs) is heterogeneous and may vary dependent on the magnetic resonance imaging contrast used to define them. We investigated differences in white matter diffusivity as an indicator for white matter integrity underlying WMSA based on T1-weighted and fluid-attenuated inversion recovery (FLAIR) imaging contrast. In addition, we investigated which white matter region of interest (ROI) could predict clinical diagnosis best using diffusion metrics. One hundred three older individuals with varying cognitive impairment levels were included and underwent neuroimaging. Diffusion metrics were extracted from WMSA areas based on T1 and FLAIR contrast and from their overlapping areas, the border surrounding the WMSA and the normal-appearing white matter (NAWM). Regional diffusivity differences were calculated with linear mixed effects models. Multinomial logistic regression determined which ROI diffusion values classified individuals best into clinically defined diagnostic groups. T1-based WMSA showed lower white matter integrity compared to FLAIR WMSA-defined regions. Diffusion values of NAWM predicted diagnostic group best compared to other ROI's. To conclude, T1- or FLAIR-defined WMSA provides distinct information on the underlying white matter integrity associated with cognitive decline. Importantly, not the "diseased" but the NAWM is a potentially sensitive indicator for cognitive brain health status. |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 0197-4580 |
| DOI: | 10.1016/j.neurobiolaging.2018.03.029 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/29704648 https://cris.maastrichtuniversity.nl/en/publications/b1c07362-a46f-4b6c-89dd-2d9056d49be6 https://doi.org/10.1016/j.neurobiolaging.2018.03.029 https://www.ncbi.nlm.nih.gov/pubmed/29704648 https://www.narcis.nl/publication/RecordID/oai%3Acris.maastrichtuniversity.nl%3Apublications%2Fb1c07362-a46f-4b6c-89dd-2d9056d49be6 https://core.ac.uk/display/158647889 https://www.sciencedirect.com/science/article/pii/S0197458018301180 https://www.sciencedirect.com/science/article/abs/pii/S0197458018301180 https://api.elsevier.com/content/article/PII:S0197458018301180?httpAccept=text/xml https://hdl.handle.net/1887/4108671 |
| Rights: | CC BY |
| Accession Number: | edsair.doi.dedup.....c495d558fc454c6c74d786b1ea1e73f0 |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | The underlying pathology of white matter signal abnormalities (WMSAs) is heterogeneous and may vary dependent on the magnetic resonance imaging contrast used to define them. We investigated differences in white matter diffusivity as an indicator for white matter integrity underlying WMSA based on T1-weighted and fluid-attenuated inversion recovery (FLAIR) imaging contrast. In addition, we investigated which white matter region of interest (ROI) could predict clinical diagnosis best using diffusion metrics. One hundred three older individuals with varying cognitive impairment levels were included and underwent neuroimaging. Diffusion metrics were extracted from WMSA areas based on T1 and FLAIR contrast and from their overlapping areas, the border surrounding the WMSA and the normal-appearing white matter (NAWM). Regional diffusivity differences were calculated with linear mixed effects models. Multinomial logistic regression determined which ROI diffusion values classified individuals best into clinically defined diagnostic groups. T1-based WMSA showed lower white matter integrity compared to FLAIR WMSA-defined regions. Diffusion values of NAWM predicted diagnostic group best compared to other ROI's. To conclude, T1- or FLAIR-defined WMSA provides distinct information on the underlying white matter integrity associated with cognitive decline. Importantly, not the "diseased" but the NAWM is a potentially sensitive indicator for cognitive brain health status. |
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| ISSN: | 01974580 |
| DOI: | 10.1016/j.neurobiolaging.2018.03.029 |