Abstract
In this paper, an advanced voxel-based coherence measure is proposed for Alzheimer’s disease detection and investigation. A public rs-fMRI dataset, including healthy elderly people against Alzheimer and mild cognitive impairment patients, is used for evaluation purpose. Firstly, several sequential pre-processing steps were performed for removing noises, then, the Local Coherence (LCOR) measure of the full frequency band was obtained within the first-level and group-level analysis. Finally, the proposed study accurately investigate the effect of LCOR connectivity, and discovered that left Occipital Pole, left Cerebelum, right Superior Frontal Gyrus, in addition to left and right Caudate regions have a prominent role in Alzheimer’s detection.
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Issa, S., Peng, Q., Issa, H. (2023). Alzheimer Disease Investigation in Resting-State fMRI Images Using Local Coherence Measure. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_23
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