IEEE Journal of Translational Engineering in Health and Medicine

Articles, Published Articles
The identification of Alzheimer’s disease using functional connectivity between activity voxels in resting-state fMRI data
Alzheimer’s disease (AD) is a common neurodegenerative disease occurring in the elderly population. The effective and accurate classification of AD symptoms by using functional magnetic resonance imaging (fMRI) has a great significance for the clinical diagnosis and prediction of AD... Read more
Articles, Published Articles
Locally Linear Embedding and fMRI feature selection in psychiatric classification
Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding) to extract informative measures of the underlying neuronal activity from... Read more
Articles, Published Articles
Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis
     This paper proposes a robust method for the Alzheimer’s disease (AD), mild cognitive impairment (MCI), and normal control subject classification under size limited fMRI data samples by exploiting the brain network connectivity pattern analysis. First, we select the regions of... Read more
Featured Articles
Automatic Recognition of fMRI-derived Functional Networks using 3D Convolutional Neural Networks
Current fMRI data modeling techniques such as Independent Component Analysis (ICA) and Sparse Coding methods can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simultaneously from the whole brain fMRI signals. However, such reconstructed networks have no... Read more
Articles, Published Articles
Design and Application of a New Automated Fluidic Visceral Stimulation Device for Human fMRI Studies of Interoception
Mapping the brain centers that mediate the sensory-perceptual processing of visceral afferent signals arising from the body (i.e., interoception) is useful both for characterizing normal brain activity and for understanding clinical disorders related to abnormal processing of visceral sensation such... Read more
Featured Articles
Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber Dynamic Integration
Brain lesions are usually located adjacent to critical spinal structures, so it will be a challenging task for neurosurgeons to precisely plan a surgical procedure without damaging healthy tissues and nerves. The advancement of medical imaging technologies produces a large... Read more