Tract-Based Spatial Statistics: Application to Mild Cognitive Impairment. (12th May 2014)
- Record Type:
- Journal Article
- Title:
- Tract-Based Spatial Statistics: Application to Mild Cognitive Impairment. (12th May 2014)
- Main Title:
- Tract-Based Spatial Statistics: Application to Mild Cognitive Impairment
- Authors:
- Wai, Yau-Yau
Hsu, Wen-Chuin
Fung, Hon-Chung
Lee, Jiann-Der
Chan, Hsiao-Lung
Tsai, Ming-Lun
Lin, Yu-Chun
Wu, Yih-Ru
Ying, Leslie
Wang, Jiun-Jie - Other Names:
- Rao Hengyi Academic Editor.
- Abstract:
- Abstract : Rationale and Objectives . The primary objective of the current investigation was to characterize white matter integrity in different subtypes of mild cognitive impairment (MCI) using tract-based spatial statistics of diffusion tensor imaging. Materials and Methods . The study participants were divided into 4 groups of 30 subjects each as follows: cognitively healthy controls, amnestic MCI, dysexecutive MCI, and Alzheimer's disease (AD). All subjects underwent a comprehensive neuropsychological assessment, apolipoprotein E genotyping, and 3-tesla MRI. The diffusion tensor was reconstructed and then analyzed using tract-based spatial statistics. The changes in brain white matter tracts were also examined according to the apolipoprotein E ε 4 status. Results . Compared with controls, amnestic MCI patients showed significant differences in the cerebral white matter, where changes were consistently detectable in the frontal and parietal lobes. We found a moderate impact of the apolipoprotein E ε 4 status on the extent of white matter disruption in the amnestic MCI group. Patients with AD exhibited similar but more extensive alterations, while no significant changes were observed in dysexecutive MCI patients. Conclusion . The results from this study indicate that amnestic MCI is the most likely precursor to AD as both conditions share significant white matter damage. By contrast, dysexecutive MCI seems to be characterized by a distinct pathogenesis.
- Is Part Of:
- BioMed research international. Volume 2014(2014)
- Journal:
- BioMed research international
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-05-12
- Subjects:
- Medicine -- Periodicals
Biology -- Periodicals
Biotechnology -- Periodicals
Life sciences -- Periodicals
610.5 - Journal URLs:
- https://www.hindawi.com/journals/bmri/ ↗
- DOI:
- 10.1155/2014/713079 ↗
- Languages:
- English
- ISSNs:
- 2314-6133
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17586.xml