The gig economy has captured public and policy interest and is growing as an area of
academic inquiry, prompting debate about the future of work, labour regulation, and the …

Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …

Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

Independent Component Analysis (ICA) is one of the most popular techniques for the
analysis of resting state FMRI data because it has several advantageous properties when …

Cognition and behavior emerge from brain network interactions, such that investigating
causal interactions should be central to the study of brain function. Approaches that …

While convolutional neural network (CNN) has been demonstrating powerful ability to learn
hierarchical spatial features from medical images, it is still difficult to apply it directly to …

Functional magnetic resonance imaging data are commonly collected during the resting
state. Resting state functional magnetic resonance imaging (rs‐fMRI) is very practical and …

The locus coeruleus is the initial site of Alzheimer's disease neuropathology, with
hyperphosphorylated Tau appearing in early adulthood followed by neurodegeneration in …