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Full-Text Articles in Other Psychiatry and Psychology
Filled/Non-Filled Pairs: An Empirical Challenge To The Integrated Information Theory Of Consciousness, Amber R. Hopkins, Kelvin J. Mcqueen
Filled/Non-Filled Pairs: An Empirical Challenge To The Integrated Information Theory Of Consciousness, Amber R. Hopkins, Kelvin J. Mcqueen
Philosophy Faculty Articles and Research
Perceptual filling-in for vision is the insertion of visual properties (e.g., color, contour, luminance, or motion) into one’s visual field, when those properties have no corresponding retinal input. This paper introduces and provides preliminary empirical support for filled/non-filled pairs, pairs of images that appear identical, yet differ by amount of filling-in. It is argued that such image pairs are important to the experimental testing of theories of consciousness. We review recent experimental research and conclude that filling-in involves brain activity with relatively high integrated information (Φ) compared to veridical visual perceptions. We then present filled/non-filled pairs as …
Scoping Review: The Empowerment Of Alzheimer’S Disease Caregivers With Mhealth Applications, Eunhee Kim, Andrius Baskys, Anandi V. Law, Moom R. Roosan, Yan Li, Don Roosan
Scoping Review: The Empowerment Of Alzheimer’S Disease Caregivers With Mhealth Applications, Eunhee Kim, Andrius Baskys, Anandi V. Law, Moom R. Roosan, Yan Li, Don Roosan
Pharmacy Faculty Articles and Research
Alzheimer’s Disease (AD) is one of the most prevalent neurodegenerative chronic diseases. As it progresses, patients become increasingly dependent, and their caregivers are burdened with the increasing demand for managing their care. Mobile health (mHealth) technology, such as smartphone applications, can support the need of these caregivers. This paper examines the published academic literature of mHealth applications that support the caregivers of AD patients. Following the PRISMA for scoping reviews, we searched published literature in five electronic databases between January 2014 and January 2021. Twelve articles were included in the final review. Six themes emerged based on the functionalities provided …
Dimensionality Reduction For Classification Of Object Weight From Electromyography, Elnaz Lashgari, Uri Maoz
Dimensionality Reduction For Classification Of Object Weight From Electromyography, Elnaz Lashgari, Uri Maoz
Psychology Faculty Articles and Research
Electromyography (EMG) is a simple, non-invasive, and cost-effective technology for measuring muscle activity. However, multi-muscle EMG is also a noisy, complex, and high-dimensional signal. It has nevertheless been widely used in a host of human-machine-interface applications (electrical wheelchairs, virtual computer mice, prosthesis, robotic fingers, etc.) and, in particular, to measure the reach-and-grasp motions of the human hand. Here, we developed an automated pipeline to predict object weight in a reach-grasp-lift task from an open dataset, relying only on EMG data. In doing so, we shifted the focus from manual feature-engineering to automated feature-extraction by using pre-processed EMG signals and thus …
Aberrant Maturation Of The Uncinate Fasciculus Follows Exposure To Unpredictable Patterns Of Maternal Signals, Steven J. Granger, Laura M. Glynn, Curt A. Sandman, Steven L. Small, Andre Obenaus, David B. Keator, Tallie Z. Baram, Hal S. Stern, Michael A. Yassa, Elyssia Poggi Davis
Aberrant Maturation Of The Uncinate Fasciculus Follows Exposure To Unpredictable Patterns Of Maternal Signals, Steven J. Granger, Laura M. Glynn, Curt A. Sandman, Steven L. Small, Andre Obenaus, David B. Keator, Tallie Z. Baram, Hal S. Stern, Michael A. Yassa, Elyssia Poggi Davis
Psychology Faculty Articles and Research
Across species, unpredictable patterns of maternal behavior are emerging as novel predictors of aberrant cognitive and emotional outcomes later in life. In animal models, exposure to unpredictable patterns of maternal behavior alters brain circuit maturation and cognitive and emotional outcomes. However, whether exposure to such signals in humans alters the development of brain pathways is unknown. In mother–child dyads, we tested the hypothesis that exposure to more unpredictable maternal signals in infancy is associated with aberrant maturation of corticolimbic pathways. We focused on the uncinate fasciculus, the primary fiber bundle connecting the amygdala to the orbitofrontal cortex and a key …
Assessment Of Major Depressive Disorders Through Neuroimaging Studies And Their Treatment Methods, Jevetha Vijayadasan, Diksha Raghunathan, Sivakumar Rajagopal, Rahul Soangra
Assessment Of Major Depressive Disorders Through Neuroimaging Studies And Their Treatment Methods, Jevetha Vijayadasan, Diksha Raghunathan, Sivakumar Rajagopal, Rahul Soangra
Physical Therapy Faculty Articles and Research
Many mental disorders are caused due to improper regulation of the brain and depression is one such. It affects both children and adults and is very common among teenagers. There are many challenges clinicians face regarding the management of this disease. These challenges have prompted the development of various neuroimaging techniques that effectively diagnose the condition. The main techniques are Magnetic resonance imaging (MRI) and Positron emission tomography (PET) which have gained momentum over the years. Advanced MRI techniques help study certain regions of the brain such as hippocampus and amygdala. Effective treatments for depression include antidepressant medications and brain …