Open Access. Powered by Scholars. Published by Universities.®

Medical Neurobiology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 6 of 6

Full-Text Articles in Medical Neurobiology

Daily Phonatory Activity Of Individuals With Parkinson’S Disease, Jeff Searl, Angela M. Dietsch Nov 2021

Daily Phonatory Activity Of Individuals With Parkinson’S Disease, Jeff Searl, Angela M. Dietsch

Department of Special Education and Communication Disorders: Faculty Publications

Purpose

This study evaluated the amount of phonatory activity of Persons with Parkinson disease (PwPD) compared to adults without Parkinson’s disease measured over 3 days. The relationship between the amount of phonatory activity and Voice Handicap Index (VHI) total score was assessed as were differences in voicing activity across 3 days of data collection.

Methods

Fifteen PwPD receiving dopaminergic medication and fifteen age and sex matched adults without Parkinson’s disease completed the VHI and then wore a VocaLog vocal monitor (VM) for 3 consecutive days. From the VM data, the number of 1-second windows with dB sound pressure level > 0 …


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 Sep 2021

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 Aug 2021

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 …


Medical Schools Ignore The Nature Of Consciousness At Great Cost, Anoop Kumar Jul 2021

Medical Schools Ignore The Nature Of Consciousness At Great Cost, Anoop Kumar

Journal of Wellness

The essential question of the relationship between consciousness and matter is ignored in medical school curricula, leading to a machine-like view of the human being that contributes to physician burnout and intellectual dissatisfaction. The evidence suggesting that the brain may not be the seat of consciousness is generally ignored to preserve the worldview of the primacy of matter. By investigating new frameworks detailing the nature of consciousness at different levels of hierarchy, we can bring intellectual rigor to a once opaque subject that supports a fundamental reality about our experience: We are human beings, not only human bodies.


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 Feb 2021

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 Feb 2021

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 …