Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …

This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

The timely diagnosis of Alzheimer's disease (AD) and its prodromal stages is critically
important for the patients, who manifest different neurodegenerative severity and …

We can now buy consumer brain-computer interface devices to help us meditate and focus,
but what are we aiming to achieve? Mental workload (MWL) is an established concept, and …

Functional near-infrared spectroscopy (fNIRS) promises a non-intrusive way to measure real-
time brain activity and build responsive brain-computer interfaces. A primary barrier to …

Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …

While Human-Computer Interaction (HCI) has contributed to demonstrating that
physiological measures can be used to detect cognitive changes, engineering and machine …

Problem-Based Learning (PBL) is a popular approach to instruction that supports students to
get hands-on training by solving problems. Question Pool websites (QPs) such as …

Consumer neurotechnology is arriving en masse, even while algorithms for user state
estimation are being actively defined and developed. Indeed, many consumable wearables …

Construction is one of the most hazardous industries, in part because it involves dynamic
and cognitively demanding tasks that tax workers' mental resources. Though some previous …