Medicine and Health Sciences Commons^™

Multimodal Investigations For The Identification Of Surgically Relevant Brain Areas, Kevin Tyner

Theses & Dissertations

Epilepsy is a neurological disease leading to recurrent and unpredictable seizures. Patients can be diagnosed as focal onset, where the seizure focus resides in one hemisphere; generalized onset, where seizure foci reside in both hemispheres; or unknown onset. Anti-seizure medications are the first line of treatment, and those whose seizures cannot be controlled with medication are diagnosed with drug-resistant epilepsy (DRE). For patients diagnosed with focal onset epilepsy to achieve seizure freedom, surgical resection of the epileptogenic zone (EZ), the region of the brain that is both necessary and sufficient for initiating seizures, is required. The EZ is a theoretical …

Multisensory Flicker Modulates Widespread Brain Networks And Reduces Interictal Epileptiform Discharges, Lou T Blanpain, Eric R Cole, Emily Chen, James K Park, Michael Y Walelign, Robert E Gross, Brian T Cabaniss, Jon T Willie, Annabelle C Singer

2020-Current year OA Pubs

Modulating brain oscillations has strong therapeutic potential. Interventions that both non-invasively modulate deep brain structures and are practical for chronic daily home use are desirable for a variety of therapeutic applications. Repetitive audio-visual stimulation, or sensory flicker, is an accessible approach that modulates hippocampus in mice, but its effects in humans are poorly defined. We therefore quantified the neurophysiological effects of flicker with high spatiotemporal resolution in patients with focal epilepsy who underwent intracranial seizure monitoring. In this interventional trial (NCT04188834) with a cross-over design, subjects underwent different frequencies of flicker stimulation in the same recording session with the effect …

Automated Seizure Detection Based On State-Space Model Identification, Zhuo Wang, Michael Sperling, Dale Wyeth, Allon Guez

Department of Neuroscience Faculty Papers

In this study, we developed a machine learning model for automated seizure detection using system identification techniques on EEG recordings. System identification builds mathematical models from a time series signal and uses a small number of parameters to represent the entirety of time domain signal epochs. Such parameters were used as features for the classifiers in our study. We analyzed 69 seizure and 55 non-seizure recordings and an additional 10 continuous recordings from Thomas Jefferson University Hospital, alongside a larger dataset from the CHB-MIT database. By dividing EEGs into epochs (1 s, 2 s, 5 s, and 10 s) and …

A Novel Theta-Controlled Vibrotactile Brain-Computer Interface To Treat Chronic Pain: A Pilot Study, Phillip Demarest, Nabi Rustamov, James Swift, Tao Xie, Markus Adamek, Hohyun Cho, Elizabeth Wilson, Zhuangyu Han, Alexander Belsten, Nicholas Luczak, Peter Brunner, Simon Haroutounian, Eric C Leuthardt

2020-Current year OA Pubs

Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying chronic pain by converting recorded neural activity into perceivable outputs. Recent evidence suggests that increased frontal theta power (4-7 Hz) reflects pain relief from chronic and acute pain. Further studies have suggested that vibrotactile stimulation decreases pain intensity in experimental and clinical models. This longitudinal, non-randomized, open-label pilot study's objective was to reinforce frontal theta activity in six patients with chronic upper extremity pain using a novel vibrotactile neurofeedback BCI system. Patients increased their BCI …

Economic Review Of Point-Of-Care Eeg., Adam Green, M Elizabeth Wegman, John P Ney

Cooper Medical School of Rowan University Faculty Scholarship

Aims: Point-of-care electroencephalogram (POC-EEG) is an acute care bedside screening tool for the identification of nonconvulsive seizures (NCS) and nonconvulsive status epilepticus (NCSE). The objective of this narrative review is to describe the economic themes related to POC-EEG in the United States (US).

Materials and methods: We examined peer-reviewed, published manuscripts on the economic findings of POC-EEG for bedside use in US hospitals, which included those found through targeted searches on PubMed and Google Scholar. Conference abstracts, gray literature offerings, frank advertisements, white papers, and studies conducted outside the US were excluded.

Results: Twelve manuscripts were identified and reviewed; results …

Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong

Computer Science Faculty Publications

Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …

Neonatal Brain Mri And Short-Term Outcomes After Acute Provoked Seizures, Yi Li, Renée A Shellhaas, Et Al.

2020-Current year OA Pubs

OBJECTIVE: We investigated how diagnosis and injury location on neonatal brain MRI following onset of acute provoked seizures was associated with short term outcome.

STUDY DESIGN: A multicenter cohort of neonates with acute provoked seizures enrolled in the Neonatal Seizure Registry. MRIs were centrally evaluated by a neuroradiologist for location of injury and radiologic diagnosis. Clinical outcomes were determined by chart review. Multivariate logistic regression was used to examine the association between MRI findings and outcomes.

RESULTS: Among 236 newborns with MRI at median age 4 days (IQR 3-8), 91% had abnormal MRI. Radiologic diagnoses of intracranial hemorrhage (OR 3.2 …

Eeg Functional Connectivity In Infants At Elevated Familial Likelihood For Autism Spectrum Disorder, Christian O'Reilly, Scott Huberty, Stefon Van Noordt, James Desjardins, Nicky Wright, Julie Scorah, Sara Jane Webb, Mayada Elsabbagh, Basis Team

Publications

Background

Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy.

Methods

We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N = 92) or elevated likelihood for ASD (N = 90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between …

A Dynamical Systems Approach To Characterizing Brain–Body Interactions During Movement: Challenges, Interpretations, And Recommendations, Derek C. Monroe, Nathaniel T. Berry, Peter C. Fino, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Brain–body interactions (BBIs) have been the focus of intense scrutiny since the inception of the scientific method, playing a foundational role in the earliest debates over the philosophy of science. Contemporary investigations of BBIs to elucidate the neural principles of motor control have benefited from advances in neuroimaging, device engineering, and signal processing. However, these studies generally suffer from two major limitations. First, they rely on interpretations of ‘brain’ activity that are behavioral in nature, rather than neuroanatomical or biophysical. Second, they employ methodological approaches that are inconsistent with a dynamical systems approach to neuromotor control. These limitations represent a …

Effects Of Noise Electrical Stimulation On Proprioception, Force Control, And Corticomuscular Functional Connectivity, Li-Wei Chou, Shiang-Lin Hou, Hui-Min Lee, Felipe Fregni, Alice Yen, Vincent Chiun-Fan Chen, Shun-Hwa Wei, Chung-Lan Kao

Engineering Science Faculty Publications

Sensory afferent inputs play an important role in neuromuscular functions. Subsensory level noise electrical stimulation enhances the sensitivity of peripheral sensory system and improves lower extremity motor function. The current study aimed to investigate the immediate effects of noise electrical stimulation on proprioceptive senses and grip force control, and whether there are associated neural activities in the central nervous system. Fourteen healthy adults participated in 2 experiments on 2 different days. In day 1, participants performed grip force and joint proprioceptive tasks with and without (sham) noise electrical stimulation. In day 2, participants performed grip force steady hold task before …

Graph Theoretical Measures Of Fast Ripple Networks Improve The Accuracy Of Post-Operative Seizure Outcome Prediction, Shennan A Weiss, Itzhak Fried, Chengyuan Wu, Ashwini Sharan, Daniel Y. Rubinstein, Jerome Engel, Michael R Sperling, Richard J Staba

Department of Neurosurgery Faculty Papers

Fast ripples (FR) are a biomarker of epileptogenic brain, but when larger portions of FR generating regions are resected seizure freedom is not always achieved. To evaluate and improve the diagnostic accuracy of FR resection for predicting seizure freedom we compared the FR resection ratio (RR) with FR network graph theoretical measures. In 23 patients FR were semi-automatically detected and quantified in stereo EEG recordings during sleep. MRI normalization and co-registration localized contacts and relation to resection margins. The number of FR, and graph theoretical measures, which were spatial (i.e., FR rate-distance radius) or temporal correlational (i.e., FR mutual information), …

Recognition Of Nonconclusive Seizures In Patients After Cardiac Arrest Using, Teresa Jahn, Elizabeth Plante

Nursing Posters

Background:

Evidence - Prevalence of nonconvulsive status epilepticus or other epileptiform activity in patients who are comatose after a cardiac arrest is between 12-22%. Consistent with the literature, at this facility approximately 12% were found to have non convulsive seizures. Prolonged epileptiform discharges may cause secondary brain injury and increased mortality. In 2020, the American Heart Association recommended EEG monitoring should be promptly performed and interpreted for the diagnosis of seizures in all comatose patients following cardiac arrest.

Local Problem - Comatose patients admitted to critical care after cardiac arrest who require targeted temperature management (TTM) have continuous EEG monitoring …

Eeg-Based Grading Of Immune Effector Cell-Associated Neurotoxicity Syndrome, Daniel K Jones, Fábio A Nascimento, Et Al.

2020-Current year OA Pubs

CAR-T cell therapy is an effective cancer therapy for multiple refractory/relapsed hematologic malignancies but is associated with substantial toxicity, including Immune Effector Cell Associated Neurotoxicity Syndrome (ICANS). Improved detection and assessment of ICANS could improve management and allow greater utilization of CAR-T cell therapy, however, an objective, specific biomarker has not been identified. We hypothesized that the severity of ICANS can be quantified based on patterns of abnormal brain activity seen in electroencephalography (EEG) signals. We conducted a retrospective observational study of 120 CAR-T cell therapy patients who had received EEG monitoring. We determined a daily ICANS grade for each …

Non-Sedative Cortical Eeg Signatures Of Allopregnanolone And Functional Comparators, Peter M Lambert, Richard Ni, Ann Benz, Nicholas R Rensing, Michael Wong, Charles F Zorumski, Steven Mennerick

2020-Current year OA Pubs

Neurosteroids that positively modulate GABA

Normal Aging In Mice Is Associated With A Global Reduction In Cortical Spectral Power And Network-Specific Declines In Functional Connectivity, Asher J Albertson, Eric C Landsness, Michelle J Tang, Ping Yan, Hanyang Miao, Zachary P Rosenthal, Byungchan Kim, Joseph C Culver, Adam Q Bauer, Jin-Moo Lee

2020-Current year OA Pubs

Normal aging is associated with a variety of neurologic changes including declines in cognition, memory, and motor activity. These declines correlate with neuronal changes in synaptic structure and function. Degradation of brain network activity and connectivity represents a likely mediator of age-related functional deterioration resulting from these neuronal changes. Human studies have demonstrated both general decreases in spontaneous cortical activity and disruption of cortical networks with aging. Current techniques used to study cerebral network activity are hampered either by limited spatial resolution (e.g. electroencephalography, EEG) or limited temporal resolution (e.g., functional magnetic resonance imaging, fMRI). Here we utilize mesoscale imaging …

Concurrent Fnirs And Eeg For Brain Function Investigation: A Systematic, Methodology-Focused Review, Rihui Li, Dalin Yang, Feng Fang, Keum-Shik Hong, Allan L Reiss, Yingchun Zhang

2020-Current year OA Pubs

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS-EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological …

Cortical Activity Measured With Low-Intensity Fatiguing Contractions Of The Quadriceps Muscle Group, Emma D. Bozarth, Lyric D. Richardson, Amy E. Riera, Micheal J. Luera, Amber H. Bozer

International Journal of Exercise Science: Conference Proceedings

Modulation of force production required during exercise is regulated from various mechanisms in the central and peripheral nervous system. Fatigue is influenced by various mechanics that may hinder the ability to continuously sustain force production. The neural activation patterns of these systems can be recorded as electrical impulses using several non-invasive techniques. The ability to examine these during fatiguing exercise has provided further insight into activation patterns in the central nervous system (i.e., motor and pre-motor cortex) during sustained muscle contractions. Electroencephalography (EEG) has been recently utilized to examine changes associated with central fatigue, but limited advancements in technology for …

Exploring The Effects Of Spinal Cord Stimulation For Freezing Of Gait In Parkinsonian Patients, Olivia Samotus

Electronic Thesis and Dissertation Repository

Dopaminergic replacement therapies (e.g. levodopa) provide limited to no response for axial motor symptoms including gait dysfunction and freezing of gait (FOG) in Parkinson’s disease (PD) and Richardson’s syndrome progressive supranuclear palsy (PSP-RS) patients. Dopaminergic-resistant FOG may be a sensorimotor processing issue that does not involve basal ganglia (nigrostriatal) impairment. Recent studies suggest that spinal cord stimulation (SCS) has positive yet variable effects for dopaminergic-resistant gait and FOG in parkinsonian patients. Further studies investigating the mechanism of SCS, optimal stimulation parameters, and longevity of effects for alleviating FOG are warranted. The hypothesis of the research described in this thesis is …

Automated Sleep State Classification Of Wide-Field Calcium Imaging Data Via Multiplex Visibility Graphs And Deep Learning, Xiaohui Zhang, Eric C. Landsness, Wei Chen, Hanyang Miao, Michelle Tang, Lindsey M. Brier, Joseph P. Culver, Jin-Moo Lee, Mark A. Anastasio

2020-Current year OA Pubs

BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjunct EEG and EMG recordings. However, this process is time-consuming and often suffers from low inter- and intra-rater reliability and invasiveness. Therefore, an automated sleep state classification method that operates on WFCI data alone is needed.

NEW METHOD: A hybrid, two-step method is proposed. In the first step, spatial-temporal WFCI data is mapped to multiplex visibility graphs (MVGs). Subsequently, a two-dimensional …

Determining States Of Movement In Humans Using Minimally Processed Eeg Signals And Various Classification Methods, Maurice Barnett

All Theses

Electroencephalography (EEG) is a non-invasive technique used in both clinical and research settings to record neuronal signaling in the brain. The location of an EEG signal as well as the frequencies at which its neuronal constituents fire correlate with behavioral tasks, including discrete states of motor activity. Due to the number of channels and fine temporal resolution of EEG, a dense, high-dimensional dataset is collected. Transcranial direct current stimulation (tDCS) is a treatment that has been suggested to improve motor functions of Parkinson’s disease and chronic stroke patients when stimulation occurs during a motor task. tDCS is commonly administered without …

Electroencephalography In Patients With Autism Spectrum Disorder, A A Asadi-Pooya

Department of Neurology Faculty Papers

No abstract provided.

Sustained Neural Activity Correlates With Rapid Perceptual Learning Of Auditory Patterns, Björn Herrmann, Kurdo Araz, Ingrid S. Johnsrude

Brain and Mind Institute Researchers' Publications

Repeating structures forming regular patterns are common in sounds. Learning such patterns may enable accurate perceptual organization. In five experiments, we investigated the behavioral and neural signatures of rapid perceptual learning of regular sound patterns. We show that recurring (compared to novel) patterns are detected more quickly and increase sensitivity to pattern deviations and to the temporal order of pattern onset relative to a visual stimulus. Sustained neural activity reflected perceptual learning in two ways. Firstly, sustained activity increased earlier for recurring than novel patterns when participants attended to sounds, but not when they ignored them; this earlier increase mirrored …

Differential Classification Of States Of Consciousness Using Envelope- And Phase-Based Functional Connectivity, Catherine Duclos, Michael S Avidan, Et Al.

2020-Current year OA Pubs

The development of sophisticated computational tools to quantify changes in the brain's oscillatory dynamics across states of consciousness have included both envelope- and phase-based measures of functional connectivity (FC), but there are very few direct comparisons of these techniques using the same dataset. The goal of this study was to compare an envelope-based (i.e. Amplitude Envelope Correlation, AEC) and a phase-based (i.e. weighted Phase Lag Index, wPLI) measure of FC in their classification of states of consciousness. Nine healthy participants underwent a three-hour experimental anesthetic protocol with propofol induction and isoflurane maintenance, in which five minutes of 128-channel electroencephalography were …

Clinical And Laboratory Characteristics Of Viral Encephalitis In Children In Menoufia Governorate, Egypt, Ghada M. El-Nabawy Zahow, Nagwa Y. Daleh, Sameh A. Abd El-Naby, Shimaa E. Soliman, Wafaa M. Abo El-Fotoh

Menoufia Medical Journal

Objective This study was designed to highlight clinicoepidemiological profile investigation findings of acute viral encephalitis in children. Background Owing to the high morbidity and mortality associated with viral encephalitis, it is important to establish a diagnosis and initiate therapy as soon as possible. Patients and methods This study was conducted on 50 cases that met the diagnostic criteria of encephalitis. Most of these patients were admitted at either General Department or Pediatric ICUs of Menoufia University Hospital and Shebin El-Kom Fever Hospital. All were subjected to complete history and examination, cerebrospinal fluid examination, electroencephalogram, computed tomography brain, and MRI brain. …

Associations Between Daily Affect And Sleep Vary By Sleep Assessment Type: What Can Ambulatory Eeg Add To The Picture?, Brett Messman, Danica C. Slavish, Jessica R. Dietch, Brooke N. Jenkins, Maia Ten Brink, Daniel J. Taylor

Psychology Faculty Articles and Research

Objective/Background

Disrupted sleep can be a cause and a consequence of affective experiences. However, daily longitudinal studies show sleep assessed via sleep diaries is more consistently associated with positive and negative affect than sleep assessed via actigraphy. The objective of the study was to test whether sleep parameters derived from ambulatory electroencephalography (EEG) in a naturalistic setting were associated with day-to-day changes in affect.

Participants/Method

Eighty adults (mean age = 32.65 years, 63% female) completed 7 days of affect and sleep assessments. We examined bidirectional associations between morning positive affect and negative affect with sleep assessed via diary, actigraphy, and …

Evaluating The Clinical Utility Of A Novel Electroencephalography System For Assessing Perioperative Neurocognition In Older Surgical Patients, Lloyd H. Barnwell Iii

Theses and Dissertations

Postoperative delirium (POD) is a public health and research priority (American Society of Anesthesiologists, 2019). POD is a risk factor for long-term neurocognitive decline, and the rate of decline is directly proportional to the severity of POD (Vasunilashorn et al., 2018). Baseline cognitive function is a strong, independent predictor for POD (Culley et al., 2017). The International Perioperative Neurotoxicity Working Group recommends baseline cognitive function be assessed for older patients prior to surgery and anesthesia (Berger, et al., 2018). Perioperative cognitive screening tools trialed in anesthesia are not routinely incorporated into clinical practice related to validity, reliability, or practicality problems …

Mapping Of Auditory Cortical Functions Using Electrocorticography, James Robert Swift

Legacy Theses & Dissertations (2009 - 2024)

Communication is a dynamic process through which we translate our inner thoughts in such a way that they can be shared with another person. This complex neurological phenomenon is a key predictor of our productivity and health. When our ability to communicate is compromised, our quality of life suffers. Although numerous methods to investigate the neuroscientific underpinnings of human language exist, our understanding of this process remains incomplete. Improving our understanding of where, when, and how auditory cortical activity occurs can enhance diagnostic techniques and improve treatment methods for neurological conditions that can impact auditory processing, such as epilepsy, or …

Data Augmentation For Deep-Learning-Based Electroencephalography, Elnaz Lashgari, Dehua Liang, Uri Maoz

Psychology Faculty Articles and Research

Background

Data augmentation (DA) has recently been demonstrated to achieve considerable performance gains for deep learning (DL)—increased accuracy and stability and reduced overfitting. Some electroencephalography (EEG) tasks suffer from low samples-to-features ratio, severely reducing DL effectiveness. DA with DL thus holds transformative promise for EEG processing, possibly like DL revolutionized computer vision, etc.

New method

We review trends and approaches to DA for DL in EEG to address: Which DA approaches exist and are common for which EEG tasks? What input features are used? And, what kind of accuracy gain can be expected?

Results

DA for DL on EEG begun …

Global Resting-State Functional Connectivity Of Neural Oscillations In Tinnitus With And Without Hearing Loss, Carly Demopoulos, Xuan Duong, Leighton B. Hinkley, Kamalini G. Ranasinghe, Danielle Mizuiri, Coleman Garrett, Susanne Honma, Jennifer Henderson-Sabes, Anne Findlay, Caroline Racine-Belkoura, Steven W. Cheung, Srikantan S. Nagarajan

All Faculty Scholarship

This study examined global resting-state functional connectivity of neural oscillations in individuals with chronic tinnitus and normal and impaired hearing. We tested the hypothesis that distinct neural oscillatory networks are engaged in tinnitus with and without hearing loss. In both tinnitus groups, with and without hearing loss, we identified multiple frequency band-dependent regions of increased and decreased global functional connectivity. We also found that the auditory domain of tinnitus severity, assayed by the Tinnitus Functional Index, was associated with global functional connectivity in both auditory and nonauditory regions. These findings provide candidate biomarkers to target and monitor treatments for tinnitus …

Effects Of A Pregnancy Lifestyle Intervention On Emotion Regulation In Infants Responding To A Toy Removal Task At One-Year Of Age, Mollie Manley

Electronic Thesis and Dissertation Repository

Poor infant emotion regulation (ER) has been linked with increased psychopathological risk in infancy and childhood. The Developmental Origins of Health and Disease Hypothesis suggests the prenatal period as the earliest point of intervention, where fetal exposure to healthy lifestyle changes can promote optimal ER in infancy. Infant electroencephalography (EEG; n=13) and heart rate variability (HRV; n=18) were measured at rest and in response to a toy removal task, to determine the ER of infants whose mothers participated in a nutrition and exercise intervention during pregnancy. Results demonstrated positive left frontal alpha asymmetry at rest (0.08± 0.66) and in response …