Imagine the brain is an intricate puzzle, with Alzheimer’s disease (AD) as its hidden enigma. Scientists faced the challenge of deciphering the clues that separate AD patients from healthy individuals. To crack the case, we developed a cutting-edge tool called the multi-modal LassoNet framework. This framework combines two imaging techniques, resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI), to unveil the hidden features linked to AD in the brain. By applying this powerful neural network-based approach, we were able to identify key brain regions like the Hippocampus, Frontal_Inf_Orb_L, Parietal_Sup_L, Putamen_L, and Fusiform_R that are involved in AD. Our findings not only open new doors for AD research but also enhance our understanding of how this complex disorder develops. Explore our groundbreaking study to unravel the mysteries of Alzheimer’s and join us in untangling the web of this enigmatic condition!
Alzheimer’s disease (AD) is a neurodegenerative brain disease, and it is challenging to mine features that distinguish AD and healthy control (HC) from multiple datasets. Brain network modeling technology in AD using single-modal images often lacks supplementary information regarding multi-source resolution and has poor spatiotemporal sensitivity. In this study, we proposed a novel multi-modal LassoNet framework with a neural network for AD-related feature detection and classification. Specifically, data including two modalities of resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) were adopted for predicting pathological brain areas related to AD. The results of 10 repeated experiments and validation experiments in three groups prove that our proposed framework outperforms well in classification performance, generalization, and reproducibility. Also, we found discriminative brain regions, such as Hippocampus, Frontal_Inf_Orb_L, Parietal_Sup_L, Putamen_L, Fusiform_R, etc. These discoveries provide a novel method for AD research, and the experimental study demonstrates that the framework will further improve our understanding of the mechanisms underlying the development of AD.
Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.
Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.
Dr. Lowemann’s influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society’s overall success and collective well-being.