The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
DTI analyses and clinical applications in Alzheimer’s disease
Open accessAbstract
DTI is one of the most effective MR tools for the investigation of the brain anatomy. In addition to the gray matter, histopathological studies indicate that white matter is also a good target for both the early diagnosis of AD and for monitoring disease progression, which motivates us to use DTI to study AD patients in vivo. There are already a large amount of studies reporting significant differences between AD patients and controls, as well as to predict progression of disease in symptomatic non-demented individuals. Application of these findings in clinical practice remains to be demonstrated.
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“The CPu was used as a FC control for SBA analysis as it was similar in size to the overall hippocampus and little FC alteration in the 3xTg-AD model was suspected in comparison to the known hippocampal alterations (Oddo et al., 2003; Oishi et al., 2011; Shah et al., 2016, 2018).”
From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Oishi et al., 2011
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“Diffusion tensor imaging (DTI) has demonstrated increased medial diffusivity (MD) associated with the hippocampus and gray matter (GM) atrophy in AD patients (Oishi et al., 2011).”
From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Oishi et al., 2011
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Metadata
- Authors
- Oishi, K., Mielke, M. M., Albert, M., Lyketsos, C. G., & Mori, S.
- Affiliations
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- Corresponding author
- Oishi, Kenichi
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2011-10-04
- Volume
- 26
- Issue
- s3
- Pages
- 287-296
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC3294372
- OpenAlex
- W1556823089
- Cited by
- 134
- References
- 103
- Citations by year
- 2026: 14 · 2025: 8 · 2024: 12 · 2023: 9 · 2022: 8 · 2021: 10 · 2020: 9 · 2019: 11 · 2018: 3 · 2017: 3 · 2016: 5 · 2015: 14 · 2014: 6 · 2013: 14 · 2012: 7
- FWCI
- 6.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Johns Hopkins University
- National Institutes of Health
- National Institute on Aging (R01AG020012, R21AG033774, R01-AG20012, P50AG005146)
- National Institute of Biomedical Imaging and Bioengineering (P01EB00195)
- National Center for Research Resources (P41RR015241, U24RR021382)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- diffusion tensor imaging, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Cognition Disorders, Female, Humans, Male, Neuropsychological Tests, Psychiatric Status Rating Scales, Diffusion Magnetic Resonance Imaging
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