Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines

Autor: Ahmad, Alwani Liyana, Sanchez-Bornot, Jose, Sotero, Roberto C., Coyle, Damien, Idris, Zamzuri, Faye, Ibrahima

MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify changes in brain activity at various Alzheimer stages, including preclin

Externí odkaz: http://arxiv.org/abs/2408.04815

Magnetoencephalography Phantom Comparison and Validation: Hospital Universiti Sains Malaysia (HUSM) Requisite.

Autor: Omar, Hazim¹, Ahmad, Alwani Liyana¹, Hayashi, Noburo², Idris, Zamzuri^3,4, Abdullah, Jafri Malin^3,4

Publikováno v: Malaysian Journal of Medical Sciences. Dec2015 Special Issue, Vol. 22, p20-28. 9p.

Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis.

Autor: Sanchez Bornot, Jose M., Wong-Lin, KongFatt, Ahmad, Alwani Liyana, Prasad, Girijesh

Publikováno v: Brain Topography; Nov2018, Vol. 31 Issue 6, p895-916, 22p

A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.

Autor: Ahmad AL; Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.; Department of Neurosciences, Hospital Pakar Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.; Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia., Sanchez-Bornot JM; Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Derry Londonderry, United Kingdom., Sotero RC; Department of Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada., Coyle D; The Bath Institute for the Augmented Human, University of Bath, Bath, United Kingdom., Idris Z; Department of Neurosciences, Hospital Pakar Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.; Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.; Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia., Faye I; Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.; Centre for Intelligent Signal & Imaging Research (CISIR), Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.

Publikováno v: PeerJ [PeerJ] 2024 Dec 13; Vol. 12, pp. e18490. Date of Electronic Publication: 2024 Dec 13 (Print Publication: 2024).