Keywords: Alzheimer's Disease, Aging
Motivation: Grey matter changes are thought to be closely related to cognitive decline in mild cognitive impairment (MCI) patients but no consensus has yet emerged.
Goal(s): We investigated alterations of cortical morphology, subcortical nuclei volume and morphology in MCI using multiple morphological analysis methods. Additionally, we explored the relationship between these imaging features and cognitive performances, along with their efficiency in classifying MCI using support vector machine (SVM).
Approach: Voxel-based morphometry (VBM) analysis, vertex-based shape analysis and surface-based morphometry (SBM) were used to the analysis.
Results: Integrating volumetric and morphological analysis methods outperformed single analysis method in identifying MCI.
Impact: These findings highlight the significance of structural alterations in brain regions associated with memory impairment in individuals with MCI, and could be helpful for the early identification and clinical diagnosis of MCI.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords