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Congress: ECR25
Poster Number: C-27413
Type: Poster: EPOS Radiologist (scientific)
Authorblock: N. Kuntchulia; Tbilisi/GE
Disclosures:
Nino Kuntchulia: Nothing to disclose
Keywords: Neuroradiology brain, MR-Functional imaging, Cost-effectiveness, Decision analysis, Efficacy studies, Dementia
Purpose Functional MRI (fMRI) plays a pivotal role in advancing the early diagnosis of Alzheimer's and Parkinson's diseases. The primary goal of this research is to: Investigate the mechanisms by which fMRI detects early functional changes in brain networks. Demonstrate the clinical utility of fMRI in identifying neurodegenerative changes before clinical symptoms fully develop. Highlight how early diagnosis facilitates timely therapeutic interventions, improving patient outcomes and quality of life. This study seeks to bridge the gap between academic research and clinical application, emphasizing the potential...
Read more Methods and materials Alzheimer's and Parkinson's are progressive neurodegenerative diseases marked by cognitive decline and motor dysfunction. Early diagnosis is crucial for management and slowing progression. Traditional methods detect changes only after significant neuronal loss.fMRI offers a non-invasive approach to measuring brain activity by detecting blood oxygen level-dependent (BOLD) signals. This technique provides insights into functional connectivity and neural network dynamics, which are often disrupted in neurodegenerative diseases before structural changes become apparent.In this study, we reviewed recent literature on fMRI applications in...
Read more Results The findings from this research underscore the effectiveness of fMRI in detecting neurodegenerative changes at early stages. Key results include: Alzheimer’s Disease: Patients in preclinical and mild cognitive impairment (MCI) stages exhibited lower DMN connectivity, particularly between the hippocampus and posterior cingulate cortex. Memory-related tasks showed significantly reduced activation in the medial temporal lobe, confirming early functional impairment. fMRI-based biomarkers predicted conversion from MCI to Alzheimer's with approximately 80% accuracy. Parkinson’s Disease: Resting-state fMRI identified decreased connectivity in basal ganglia and motor-related networks, even before clinical...
Read more Conclusion fMRI is a transformative tool for the early diagnosis of Alzheimer’s and Parkinson’s diseases. Its ability to detect subtle functional changes provides a critical window for intervention, potentially delaying disease onset and progression. Future research should focus on: Standardizing fMRI protocols for clinical use. Integrating fMRI with biomarkers like cerebrospinal fluid analysis and PET imaging. Expanding access to advanced imaging technologies in underserved regions. Conducting large-scale, longitudinal studies to confirm fMRI’s role in disease prediction and monitoring
Read more References Chen, Z., et al. (2021). Resting-state fMRI in Mild Cognitive Impairment and Alzheimer’s Disease: Diagnostic Value and Mechanisms. Journal of Alzheimer's Disease, 82(3), 1257-1269. Johnson, D., et al. (2023). Combining Functional MRI and Biomarkers in the Diagnosis of Alzheimer's and Parkinson’s Diseases: A Meta-Analysis. NeuroImage: Clinical, 33, 102917. Lee, C., et al. (2022). Early Functional Connectivity Changes in Parkinson's Disease: Insights from Longitudinal fMRI Studies. Movement Disorders, 37(1), 59-71. Liu, Y., et al. (2022). Functional Magnetic Resonance Imaging of Brain Networks in Alzheimer's...
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