Introduction of diffusion tensor imaging (DTI) in 1980 and its advancement in the last three decades offered the possibility to visualize and quantify changes in white matter. DTI allows the evaluation of the structural integrity in complex neurodegenerative diseases, such as Alzheimer's disease (AD). Progressive disintegration of functional and structural neural network coordination contributes to the cognitive dysfunction in AD. Therefore, detection of loss of cortico-cortical projections may support an early diagnosis at prodromal stages of disease which may prove essential for future preventive AD treatment trials. Moreover, structural integrity measured by DTI may help to distinguish between symptomatic and disease modifying effects of pharmacological interventions. This review gives a concise account on the physical basis of DTI acquisition and processing. We summarize DTI findings in normal aging and AD and regarding the effects of cognitive intervention and antidementive treatment on structural neural connectivity. Finally, we evaluate the promising future potential of DTI to become a surrogate endpoint in clinical AD trials.
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http://dx.doi.org/10.2174/1381612811319360003 | DOI Listing |
Brain Sci
December 2024
School of Management Science and Information Engineering, Hebei University of Economics and Businesses, Shijiazhuang 050061, China.
A multimodal brain age estimation model could provide enhanced insights into brain aging. However, effectively integrating multimodal neuroimaging data to enhance the accuracy of brain age estimation remains a challenging task. In this study, we developed an innovative data fusion technique employing a low-rank tensor fusion algorithm, tailored specifically for deep learning-based frameworks aimed at brain age estimation.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Plasma biomarkers have great potential in the screening, diagnosis, and monitoring of Alzheimer's disease (AD). However, findings on their associations with cerebral perfusion and structural changes are inconclusive. We examined both cross-sectional and longitudinal associations between plasma biomarkers and cerebral blood flow (CBF), gray matter (GM) volume, and white matter (WM) integrity.
View Article and Find Full Text PDFJ Inherit Metab Dis
January 2025
Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota, USA.
Mucopolysaccharidosis type I (MPS I) is an inherited lysosomal storage disorder leading to deleterious brain effects. While animal models suggested that MPS I severely affects white matter (WM), whole-brain diffusion tensor imaging (DTI) analysis was not performed due to MPS-related morphological abnormalities. 3T DTI data from 28 severe (MPS IH, treated with hematopoietic stem cell transplantation-HSCT), 16 attenuated MPS I patients (MPS IA) enrolled under the study protocol NCT01870375, and 27 healthy controls (HC) were analyzed using the free-water correction (FWC) method to resolve macrostructural partial volume effects and unravel differences in DTI metrics accounting for microstructural abnormalities.
View Article and Find Full Text PDFPurpose: Defining a microscopic tumor infiltration boundary is critical to the success of radiation therapy. Currently, radiation oncologists use margins to geometrically expand the visible tumor for radiation treatment planning in soft tissue sarcomas (STS). Image-based models of tumor progression would be critical to personalize the treatment radiation field to the pattern of sarcoma spread.
View Article and Find Full Text PDFFront Neurosci
December 2024
Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, University of Sherbrooke, Sherbrooke, QC, Canada.
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