fMRI

The identification of Alzheimer’s disease using functional connectivity between activity voxels in resting-state fMRI data
Author(s)3: Yuhu Shi, Weiming Zeng, Jin Deng, Weifang Nie, Yifei Zhang
The identification of Alzheimer’s disease using functional connectivity between activity voxels in resting-state fMRI data 872 397 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Locally Linear Embedding and fMRI feature selection in psychiatric classification

Locally Linear Embedding and fMRI feature selection in psychiatric classification
Author(s)3: Gagan Sidhu
Locally Linear Embedding and fMRI feature selection in psychiatric classification 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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)…

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Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis

Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis
Author(s)3: Zhe Wang, Yu Zheng, David C. Zhu, Andrea C. Bozoki, Tongtong Li
Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     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…

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Design and Application of a New Automated Fluidic Visceral Stimulation Device for Human fMRI Studies of Interoception
Author(s)3: Behnaz Jarrahi, Roger Gassert, Johann Wanek, Lars Michaels, Ulrich Mehnert, Spyros S. Kollias
Design and Application of a New Automated Fluidic Visceral Stimulation Device for Human fMRI Studies of Interoception 780 436 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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