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Full-Text Articles in Other Analytical, Diagnostic and Therapeutic Techniques and Equipment

Transcranial Electrical Stimulation As A Treatment For Aging-Related Cognitive Disorders: Review Of Published Evidence, Srujan Dadi, Kyle Jackson, Don Shamilov May 2024

Transcranial Electrical Stimulation As A Treatment For Aging-Related Cognitive Disorders: Review Of Published Evidence, Srujan Dadi, Kyle Jackson, Don Shamilov

Rowan-Virtua Research Day

Alzheimer's disease (AD) and MCI are a major concern in modern neuropsychiatric care, chiefly for their difficult management. This strategic literature review categorizes MCI via the Jak-Bondi criteria and relates it to tES treatment paradigms. Commonly used outcome measures and regional brain mapping data synergizes associations between MCI pathology and potential tES treatment targets. Effect sizes were calculated and attributed to outcome measures based on primary articles evaluating the efficacy of tES. These were then corresponded to a desired Jack-Bondi classification. A better understanding of the efficacy of tES on specific brain regions in synergy with diagnostic criteria will allow …


Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman Jan 2024

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …


Epileptic Seizure Classification Using Image-Based Data Representation, Amber Surles Aug 2023

Epileptic Seizure Classification Using Image-Based Data Representation, Amber Surles

<strong> Theses and Dissertations </strong>

Epilepsy is a recurrence of seizures caused by a disorder of the brain in over 3.4 million people nationwide. Some people are able to predict their seizures based off prodrome, which is an early sign or symptom that usually resembles mood changes or a euphoric feeling even days to an hour before occurrence. Consequently, the natural instincts of the body to react to an upcoming attack lends credence to the existence of a pre-ictal state that precedes seizure episodes. Physicians and researchers have thus sought for an automated approach for predicting or detecting seizures.

In this research, we evaluate the …


Posterior Reversible Encephalopathy Syndrome (Pres), Brittany Fera, Andrew Caravello May 2021

Posterior Reversible Encephalopathy Syndrome (Pres), Brittany Fera, Andrew Caravello

Rowan-Virtua Research Day

Posterior reversible encephalopathy syndrome (PRES) is a clinical and radiographic syndrome that describes certain neuroimaging findings in association with clinical symptoms such as headache, seizure, encephalopathy and vision changes. Classically, PRES is associated with poorly controlled hypertension, and patients present with elevated blood pressure in addition to their symptoms. Most importantly, imaging findings and symptoms are typically reversible, and are a separate entity from ischemic or hemorrhagic cerebrovascular accidents or autoimmune causes of similar symptoms, such as multiple sclerosis.


C25: The “Spot Sign”: A Predictor Of Hematoma Expansion, Mckenzie Merritt Apr 2021

C25: The “Spot Sign”: A Predictor Of Hematoma Expansion, Mckenzie Merritt

Annual Research Symposium

No abstract provided.


The Use Of Life-Like Robotic Animals In The Acute Care Setting To Assist In The Care Of Patients With Dementia, Abby Denby Dec 2020

The Use Of Life-Like Robotic Animals In The Acute Care Setting To Assist In The Care Of Patients With Dementia, Abby Denby

Doctors of Nursing Practice (DNP) Final Projects, 2020-current

The purpose of this pilot project was to describe the effect of life-like robotic animals on the nurses’ ability to provide care, patients’ level of agitation, use of antipsychotic medications, restraint and sitter use for patients with dementia in an acute care setting. Nurses report challenges and feelings of helplessness while caring for patients with dementia. Dementia may cause depression, agitation, aggression (physical or verbal) and a decrease quality of life. Animal Assisted Therapy (ATT) is a growing therapy in many healthcare settings but there is a lack of literature specifically related to the use of AAT in the acute …


A Protocol Driven Stroke Code's Impact On Door-To-Needle Times, Jesse Osborne May 2020

A Protocol Driven Stroke Code's Impact On Door-To-Needle Times, Jesse Osborne

Electronic Theses and Dissertations

Tissue plasminogen activator (tPA) is most effective the faster it is able to be administered to a patient that has been affected by stroke. A Stroke Code is a strategy that acute care facilities implement to reduce the time from diagnosing a stroke to administering tPA. The purpose of this study was to determine if the initiation of a Stroke Code in an acute care hospital reduces the door-to-needle time for patients affected by a stroke. In particular, does a Stroke Code reduce door-to-needle times. The research was conducted using data from April 1, 2014 to December 31, 2014 (pre-Stroke …


Development Of A Torque-Based Device For The Quantification Of Arm Rigidity In Patients With Parkinson’S Disease, Georgina O. Miller Jan 2020

Development Of A Torque-Based Device For The Quantification Of Arm Rigidity In Patients With Parkinson’S Disease, Georgina O. Miller

Theses and Dissertations

Parkinsonian rigidity is caused by the inability of the muscles to relax and extend properly, due to reduced dopamine levels and often begins on one side of the body before spreading contralaterally. The current standard for determining joint rigidity in a clinical setting is a test completed by the clinician based on the feel of the relaxed wrist and elbow joints as they are passively flexed and extended and a series of ordinal rating scales, the Movement Disorder Society’s – Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), Hoehn and Yahr Scale (H&Y), and Parkinson’s Disease Questionnaire-39 (PDQ-39). These methods are used …


Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre May 2019

Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre

Honors Scholar Theses

Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis has …


Effects Of Exercise On Eeg Activity And Standard Tools Used To Assess Concussion, David M Devilbiss, Jena L Etnoyer-Slaski, Emily Dunn, Christopher R Dussourd, Mayuresh V Kothare, Stephen J Martino, Adam J Simon Apr 2019

Effects Of Exercise On Eeg Activity And Standard Tools Used To Assess Concussion, David M Devilbiss, Jena L Etnoyer-Slaski, Emily Dunn, Christopher R Dussourd, Mayuresh V Kothare, Stephen J Martino, Adam J Simon

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

A variety of cognitive assessment tools are used to determine the functional status of the brain before and after injury in athletes. Questionnaires, neuropsychological tests, and electroencephalographic (EEG) measures have been recently used to directly assess brain function on and near the playing field. However, exercise can affect cognitive performance and EEG measures of cortical activity. To date, little empirical evidence exists on the effects of acute exercise on these measures of neurological function. We therefore quantified athlete performance on a standardized battery of concussion assessment tools and EEG measurements immediately before and after acute exercise to simulate conditions of …


Assessing Working Memory In Mild Cognitive Impairment With Serial Order Recall., Sheina Emrani, David J Libon, Melissa Lamar, Catherine C Price, Angela L Jefferson, Katherine A Gifford, Timothy J Hohman, Daniel A Nation, Lisa Delano-Wood, Amy Jak, Katherine J Bangen, Mark W Bondi, Adam M Brickman, Jennifer Manly, Rodney Swenson, Rhoda Au, Consortium For Clinical And Epidemiological Neuropsychological Data Analysis (Cenda) Jan 2018

Assessing Working Memory In Mild Cognitive Impairment With Serial Order Recall., Sheina Emrani, David J Libon, Melissa Lamar, Catherine C Price, Angela L Jefferson, Katherine A Gifford, Timothy J Hohman, Daniel A Nation, Lisa Delano-Wood, Amy Jak, Katherine J Bangen, Mark W Bondi, Adam M Brickman, Jennifer Manly, Rodney Swenson, Rhoda Au, Consortium For Clinical And Epidemiological Neuropsychological Data Analysis (Cenda)

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Working memory (WM) is often assessed with serial order tests such as repeating digits backward. In prior dementia research using the Backward Digit Span Test (BDT), only aggregate test performance was examined.

OBJECTIVE: The current research tallied primacy/recency effects, out-of-sequence transposition errors, perseverations, and omissions to assess WM deficits in patients with mild cognitive impairment (MCI).

METHODS: Memory clinic patients (n = 66) were classified into three groups: single domain amnestic MCI (aMCI), combined mixed domain/dysexecutive MCI (mixed/dys MCI), and non-MCI where patients did not meet criteria for MCI. Serial order/WM ability was assessed by asking participants to repeat …


Alzheimer’S Disease: Dawn Of A New Era?, Farideh Amirrad, Emira Bousoik, Kiumars Shamloo, Hassan Al-Shiyab, Viet-Hong Nguyen, Hamidreza Montazeri Aliabadi Jul 2017

Alzheimer’S Disease: Dawn Of A New Era?, Farideh Amirrad, Emira Bousoik, Kiumars Shamloo, Hassan Al-Shiyab, Viet-Hong Nguyen, Hamidreza Montazeri Aliabadi

Pharmacy Faculty Articles and Research

Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by a progressive decline in cognition and memory, leading to significant impairment in daily activities and ultimately death. It is the most common cause of dementia, the prevalence of which increases with age; however, age is not the only predisposing factor. The pathology of this cognitive impairing disease is still not completely understood, which has limited the development of valid therapeutic options. Recent years have witnessed a wide range of novel approaches to combat this disease, so that they greatly increased our understanding of the disease and of the unique drug …


Hdqlife: Development And Assessment Of Health-Related Quality Of Life In Huntington Disease (Hd), N E Carlozzi, S G Schilling, J-S Lai, J S Paulsen, E A Hahn, J S Perlmutter, C A Ross, N R Downing, A L Kratz, M K Mccormack, M A Nance, K A Quaid, J C Stout, R C Gershon, R E Ready, J A Miner, S K Barton, S L Perlman, S M Rao, S Frank, I Shoulson, H Marin, M D Geschwind, P Dayalu, S M Goodnight, D Cella Oct 2016

Hdqlife: Development And Assessment Of Health-Related Quality Of Life In Huntington Disease (Hd), N E Carlozzi, S G Schilling, J-S Lai, J S Paulsen, E A Hahn, J S Perlmutter, C A Ross, N R Downing, A L Kratz, M K Mccormack, M A Nance, K A Quaid, J C Stout, R C Gershon, R E Ready, J A Miner, S K Barton, S L Perlman, S M Rao, S Frank, I Shoulson, H Marin, M D Geschwind, P Dayalu, S M Goodnight, D Cella

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

PURPOSE: Huntington disease (HD) is a chronic, debilitating genetic disease that affects physical, emotional, cognitive, and social health. Existing patient-reported outcomes (PROs) of health-related quality of life (HRQOL) used in HD are neither comprehensive, nor do they adequately account for clinically meaningful changes in function. While new PROs examining HRQOL (i.e., Neuro-QoL-Quality of Life in Neurological Disorders and PROMIS-Patient-Reported Outcomes Measurement Information System) offer solutions to many of these shortcomings, they do not include HD-specific content, nor have they been validated in HD. HDQLIFE addresses this by validating 12 PROMIS/Neuro-QoL domains in individuals with HD and by using established PROMIS …


1st Place Research Paper: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan Jun 2016

1st Place Research Paper: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan

Kevin and Tam Ross Undergraduate Research Prize

Objectives: The objectives of this paper are to (1) give a brief overview of stroke pathophysiology (2) outline yoga as a therapeutic strategy (3) present the current research on yoga rehabilitation for stroke (4) discuss the efficacy of yoga for chronic stroke.

Methods: Relevant terms were searched in PubMed, Web of Science, Academic OneFile, ScienceDirect, and Google Scholar electronic databases. Studies were excluded if they contained pediatric stroke, non-stroke neurological diseases, or subjects with comorbidities. Statistically significant data was extracted for the primary measures of nine trials.

Results: Four studies measured statistically significant outcomes (p<0.05). These included improvements in balance, independence, endurance, trait anxiety, fear of falling, self-efficacy, pain, strength, range of motion (ROM), activity, participation, and quality of life (QoL). Discussion: Lack of statistical significance in post-stroke depression (PSD) measures may be due to inadequate intervention length or a psychosocial cause of depression. Improvements in balance, flexibility, and strength from yoga participation permitted progress in disability and functionality. Finally, overall health-related quality of life (HRQL) is affected by the severity of mental disorders and physical disability. Yoga can have a positive effect in both domains and therefore, may improve HRQL.

Conclusion: …


Tau And Aβ Imaging, Csf Measures, And Cognition In Alzheimer's Disease, Matthew R. Brier, Brian Gordon, Karl Friedrichsen, John E. Mccarthy, Ari Stern, Jon Christensen, Christopher Owen, Patricia Aldea, Yi Su, Jason Hassenstab, Nigel J. Cairns, David M. Holtzman, Anne M. Fagan, John C. Morris, Tammie L.S. Benzinger, Beau M. Ances May 2016

Tau And Aβ Imaging, Csf Measures, And Cognition In Alzheimer's Disease, Matthew R. Brier, Brian Gordon, Karl Friedrichsen, John E. Mccarthy, Ari Stern, Jon Christensen, Christopher Owen, Patricia Aldea, Yi Su, Jason Hassenstab, Nigel J. Cairns, David M. Holtzman, Anne M. Fagan, John C. Morris, Tammie L.S. Benzinger, Beau M. Ances

Mathematics Faculty Publications

Alzheimer’s disease (AD) is characterized by two molecular pathologies: cerebral β-amyloidosis in the form of β-amyloid (Aβ) plaques and tauopathy in the form of neurofibrillary tangles, neuritic plaques, and neuropil threads. Until recently, only Aβ could be studied in humans using positron emission tomography (PET) imaging owing to a lack of tau PET imaging agents. Clinical pathological studies have linked tau pathology closely to the onset and progression of cognitive symptoms in patients with AD. We report PET imaging of tau and Aβ in a cohort of cognitively normal older adults and those with mild AD. Multivariate analyses identified unique …


1st Place Contest Entry: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan Apr 2016

1st Place Contest Entry: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan

Kevin and Tam Ross Undergraduate Research Prize

This is Baylor Hogan's submission for the 2016 Kevin and Tam Ross Undergraduate Research Prize, which won first place. She wrote about the effects of yoga therapy on the physical and mental wellbeing of stroke patients. You can read the final essay that came out of her research here.

Baylor is a senior at Chapman University, majoring in Kinesiology. Her faculty mentor is Dr. Elizabeth DeBaets.


Initial Validation Of A Novel Method Of Presurgical Language Localization Through Functional Connectivity (Fcmri), Stephanie M. Noble, Dustin Scheinost, Susan Y. Bookheimer, Patricia Walshaw, R Todd Constable, Christopher F. Benjamin Sep 2015

Initial Validation Of A Novel Method Of Presurgical Language Localization Through Functional Connectivity (Fcmri), Stephanie M. Noble, Dustin Scheinost, Susan Y. Bookheimer, Patricia Walshaw, R Todd Constable, Christopher F. Benjamin

Yale Day of Data

OBJECTIVE: Neurosurgery is potentially curative in chronic epilepsy but can only be offered to patients if the surgical risk to language is known. Clinical functional magnetic resonance imaging (fMRI) is an ideal, noninvasive method for localizing language cortex yet remains to be validated for this purpose. We have recently presented a novel method for localizing language cortex. Here we present a preliminary evaluation of this method’s validity. We hypothesized language regions identified using this novel method would demonstrate stronger functional connectivity than randomly generated set of proximal networks. METHOD: fMRI data were collected from sixteen temporal lobe patients …