Nervous System Diseases Commons^™

Spetzler-Martin Grade I And Ii Cerebral Arteriovenous Malformations: A Propensity-Score Matched Analysis Of Resection And Stereotactic Radiosurgery In Adult Patients, Salem Tos, Mahmoud Osama, Georgios Mantziaris, Bardia Hajikarimloo, Nimer Adeeb, Sandeep Kandregula, Adam Dmytriw, Hamza Adel Salim, Basel Musmar, Kareem El Naamani, Christopher Ogilvy, Douglas Kondziolka, Ahmed Abdelsalam, Deepak Kumbhare, Sanjeev Gummadi, Cagdas Ataoglu, Ufuk Erginoglu, Muhammed Amir Essibayi, Abdullah Keles, Sandeep Muram, Daniel Sconzo, Howard Riina, Arwin Rezai, Johannes Pöppe, Rajeev Sen, Omar Alwakaa, Christoph Griessenauer, Pascal Jabbour, Stavropoula Tjoumakaris, Jan-Karl Burkhardt, Robert Starke, Mustafa Baskaya, Laligam Sekhar, Michael Levitt, David Altschul, Neil Haranhalli, Malia Mcavoy, Assala Aslan, Abdallah Abushehab, Christian Swaid, Adib Abla, Christopher Stapleton, Matthew Koch, Visish M Srinivasan, Peng Chen, Spiros Blackburn, Mark Dannenbaum, Omar Choudhri, Bryan Pukenas, Darren Orbach, Edward Smith, Markus Möhlenbruch, Ali Alaraj, Ali Aziz-Sultan, Aman Patel, Hugo Cuellar, Michael Lawton, Jacques Morcos, Bharat Guthikonda, Jason Sheehan

Department of Neurosurgery Faculty Papers

Cerebral arteriovenous malformations (AVMs) are congenital vascular anomalies that can lead to severe complications, including hemorrhage and neurological deficits. This study compares the outcomes of microsurgical resection and stereotactic radiosurgery (SRS) for SM grade I and II AVMs. Out of a large multicenter registry, we identified 180 matched patients with SM grade I and II AVMs treated with either microsurgical resection or SRS between 2010 and 2023. The primary outcomes were AVM obliteration rates and complications; secondary outcomes included neurological status and functional outcomes measured by the modified Rankin Scale (mRS). Propensity score matching (PSM) was utilized to ensure comparability …

Network Analysis Of Headache Diagnoses Using International Classification Of Headache Disorders, 3rd Edition, Pengfei Zhang, Thomas Berk

College of Nursing Faculty Papers & Presentations

BACKGROUND AND OBJECTIVE: The International Classification of Headache Disorders, Third Edition (ICHD-3), significantly influences clinicians' understanding of headache disorders. In this study, we aim to elucidate how the hierarchical structure of ICHD-3 shapes the understanding of interconnectivity among headache disorders.

METHODS: A network comprises elements known as "nodes," with the connections between them referred to as "edges." In our study, a node represents a headache diagnosis that meets at least one ICHD-3 diagnostic criterion of the ICHD-3. We developed two network models for ICHD-3: a non-hierarchical model, where edges are only formed by cross-references found within the text of diagnoses, …

Use Of Multi-Modal Non-Contrast Mri To Predict Functional Outcomes After Stroke: A Study Using Dp-Pcasl, Dti, Noddi, And Map Mri, Julia Diamandi, Christian Raimondo, Keenan Piper, Joanna Roy, Stephanie Serva, Mahdi Alizadeh, Adam Flanders, Stavropoula Tjoumakaris, Michael Gooch, Pascal Jabbour, Robert Rosenwasswer, Nikolaos Mouchtouris

Department of Neurosurgery Faculty Papers

PURPOSE: This study aims to assess whether water exchange rate (k_w), a surrogate for blood-brain barrier (BBB) permeability, is associated with functional outcomes in patients with acute ischemic stroke (AIS).

METHODS: We studied 22 AIS patients enrolled from 1/2022 to 4/2024 who underwent multi-modal non-contrast imaging on a 3.0-Tesla scanner, including DP-pCASL, DTI, NODDI and MAP imaging. For each parametric map, the intensity and standard deviation (SD) were calculated for the infarcted region. The diffusion maps included were b0, Fractional Anisotropy (FA), Mean Diffusivity (MD), Intra-cellular Volume Fraction (ICVF), Free Water Fraction (FWF), and Orientation Dispersion Index (ODI), …

Multiparametric Mri Along With Machine Learning Predicts Prognosis And Treatment Response In Pediatric Low-Grade Glioma, Anahita Fathi Kazerooni, Adam Kraya, Komal Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R Lueder, Saksham Phul, Mateusz Koptyra, Phillip Storm, Jeffrey Ware, Yuanquan Song, Christos Davatzikos, Jessica Foster, Sabine Mueller, Michael J Fisher, Adam Resnick, Ali Nabavizadeh

Department of Neurosurgery Faculty Papers

Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and suitability for immunotherapy has the potential to improve clinical management and outcomes. Here, we present a radiogenomic analysis of pLGGs, integrating MRI and RNA sequencing data. We identify three immunologically distinct clusters, with one group characterized by increased immune activity and poorer prognosis, indicating potential benefit from immunotherapies. We develop a radiomic signature that predicts these immune profiles with over 80% accuracy. Furthermore, our clinicoradiomic model predicts progression-free …

Artificial Intelligence-Based Methodologies For Early Diagnostic Precision And Personalized Therapeutic Strategies In Neuro-Ophthalmic And Neurodegenerative Pathologies, Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli

SKMC Student Presentations and Publications

Advancements in neuroimaging, particularly diffusion magnetic resonance imaging (MRI) techniques and molecular imaging with positron emission tomography (PET), have significantly enhanced the early detection of biomarkers in neurodegenerative and neuro-ophthalmic disorders. These include Alzheimer's disease, Parkinson's disease, multiple sclerosis, neuromyelitis optica, and myelin oligodendrocyte glycoprotein antibody disease. This review highlights the transformative role of advanced diffusion MRI techniques-Neurite Orientation Dispersion and Density Imaging and Diffusion Kurtosis Imaging-in identifying subtle microstructural changes in the brain and visual pathways that precede clinical symptoms. When integrated with artificial intelligence (AI) algorithms, these techniques achieve unprecedented diagnostic precision, facilitating early detection of neurodegeneration and …

A Large Scale Multi Institutional Study For Radiomics Driven Machine Learning For Meningioma Grading, Mert Karabacak, Shiv Patil, Rui Feng, Raj K. Shrivastava, Konstantinos Margetis

Department of Medicine Faculty Papers

This study aims to develop and evaluate radiomics-based machine learning (ML) models for predicting meningioma grades using multiparametric magnetic resonance imaging (MRI). The study utilized the BraTS-MEN dataset's training split, including 698 patients (524 with grade 1 and 174 with grade 2-3 meningiomas). We extracted 4872 radiomic features from T1, T1 with contrast, T2, and FLAIR MRI sequences using PyRadiomics. LASSO regression reduced features to 176. The data was split into training (60%), validation (20%), and test (20%) sets. Five ML algorithms (TabPFN, XGBoost, LightGBM, CatBoost, and Random Forest) were employed to build models differentiating low-grade (grade 1) from high-grade …

Multimodal Mixing Convolutional Neural Network And Transformer For Alzheimer’S Disease Recognition, Junde Chen, Yun Wang, Adnan Zeb, M. D. Suzauddola, Yuxin Wen

Engineering Faculty Articles and Research

Early recognition of Alzheimer’s disease (AD) and its precursor state, mild cognitive impairment (MCI), is pivotal in interrupting the progression of the disease and providing suitable treatment. Recent development in deep learning techniques has drawn great research attention for improving the efficacy of AD recognition. However, numerous current methods solely utilize data from a single auxiliary domain, limiting their ability to harness valuable intrinsic insights from multiple domains. To cope with the challenge, this paper is devoted to establishing an innovative multimodal medical data fusion model, termed as MMDF, to perform Alzheimer’s disease recognition. Multimodal data including clinical records and …

Self-Harm In Female Youth With Undiagnosed Adhd: Implementing American Academy Of Pediatrics Screening Guidelines, Roselie M. Woodard

Dissertations

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. If undiagnosed or untreated, ADHD can lead to severe psychosocial issues such as academic failure, substance abuse, unplanned pregnancy, and incarceration. The financial burden in the U.S. from diagnostic errors creates an immense, rising fiscal impact. Early diagnosis and management are crucial to prevent these complications.

Females with ADHD, particularly those with the inattentive subtype, often face diagnostic challenges due to symptom masking and over-compensation. This results in poorer cognitive functioning and self-esteem compared to males with ADHD. ADHD is linked to autonomic nervous …

Magnetic Resonance Imaging Signs Of Idiopathic Intracranial Hypertension, Dagmar Beier, Johanne Juhl Korsbæk, Gabriel Bsteh, Stefan Macher, Wolfgang Marik, Berthold Pemp, Hsiangkuo Yuan, Areeba Nisar, Lisbeth Høgedal, Laleh Dehghani Molander, Snorre Malm Hagen, Christoph Patrick Beier, Simon Bang Kristensen, Rigmor Højland Jensen

Department of Neurology Faculty Papers

IMPORTANCE: The magnetic resonance imaging (MRI) criteria currently used to diagnose idiopathic intracranial hypertension (IIH) are based on expert opinion and have limited accuracy. Additional neuroimaging signs have been proposed and used with contradictory results; thus, prospective evidence is needed to improve diagnostic accuracy.

OBJECTIVE: To provide evidence-based, accurate MRI signs for IIH diagnosis.

DESIGN, SETTING, AND PARTICIPANTS: This prospective cohort study was conducted from January 2018 to May 2021 with 3 validation cohorts at 2 Danish headache centers and with 3 independent international cohorts. Consecutive patients with suspected IIH were enrolled. Eligibility required the clinical suspicion of IIH, age …

Anomalous Left Coronary Artery From The Noncoronary Sinus, Wesam Sourour, Jesus C. Jaile, Stefanie Cheang, Jacquelyn D. Brady, Timothy Pettitt

School of Medicine Faculty Publications

No abstract provided.

A Rare Case Report Of Hypoketotic Hypoglycemia Induced Seizures Due To Secondary Carnitine Deficiency In A 44-Year-Old Female, Ayrton Bangolo, Nicole Tesoro, Sonia Onyeka, Mary Bangura, Rekha Shrestha, Vignesh K. Nagesh, Roua Alrestom, Joshua Rathod, Eugenio L. Gomez, Youssef Laabidi, Imane Laabidi, Conrad Erikson, Aayat Sheikh, Sharon Maria, Mansi Naria, Erwin J. Tabucanon, Juilee V. Dongre, Auda Auda, Mohammed Jurri, Reshma Radhakrishnan, Hisham Alrefai, Simcha Weissman

Journal of Community Hospital Internal Medicine Perspectives

Carnitine deficiency is a rare metabolic condition that can result in fasting hypoglycemia. Carnitine deficiency could be primary or secondary to other conditions. Among secondary causes, antiepileptics such as valproic acid have been incriminated. Valproic acid is known to deplete carnitine stores and inhibit the process of β-oxidation. Herein we report the case of a 44-year-old female with epilepsy that presented with breakthrough seizures associated with hypoglycemia despite being on appropriate antiepileptic therapy. The patient was later found to have carnitine deficiency. Discontinuation of valproic acid and supplementation with L-carnitine resolved the patient’s hypoglycemia and breakthrough seizures. With this case …

A Stroke Or Not A Stroke? A Case Of Chronic Hemiplegic Migraines, Bum J. Kim, Matthew Orap, Bret Farrow-Cypel, Naseer Ahmed

Rowan-Virtua Research Day

Hemiplegic migraine (HM) is a rare subtype of migraine with both familial and sporadic patterns. These migraines present episodically with reversible attacks of unilateral motor weakness. Patients may experience visual changes, sensory loss, impaired level of consciousness, ataxia, and speech changes. Symptoms can last from hours to days and can mimic acute stroke.

The patient is a 45-year-old male with a past medical history of hypertension and possible cerebral vascular accident use who presents to the emergency department complaining of left extremity numbness and weakness. Neuroimaging showed no acute findings and CT angiogram showed no large vessel occlusion. Tenecteplase was …

A Case Of Hhv-6 Viral Meningitis, Mohammad A. Rattu, Wayne Tamaska

Rowan-Virtua Research Day

Meningitis is the inflammation of the meninges and associated with abnormal cell count in the cerebrospinal fluid (CSF). The lack of bacterial growth in cultures, most commonly referred to as aseptic meningitis, is frequently caused by viruses [2]. Viruses have become more common as the prevalence of bacterial meningitis has decreased secondary to vaccination use, with viral meningitis being the most common form among countries. Viral meningitis will present with fever, headache, photophobia, neck stiffness and nausea and vomiting. Younger children however may not show any signs of meningeal irritation. Viral meningitis is usually self-limiting and with good prognosis; however, …

Applications Of Deep Learning With Detecting Intracranial Aneurysms On Ct Angiograms: A Literature Review, Christian Fang, Emily Wang

Rowan-Virtua Research Day

INTRODUCTION

Deep learning is a method of artificial intelligence involving progressively layered neural networks to extrapolate patterns from data to provide predictions. Moreover, given the arduous nature required for examining CT scans for intracranial aneurysms, discovering ways to expedite this process is beneficial. The use of deep learning to evaluate CT angiograms for intracranial aneurysms has been sparsely studied. This literature review aims to determine the accuracy and reliability of deep learning to analyze CT angiograms in patients suspected to have intracranial aneurysms.

METHODS

A qualitative review of literature using PubMed, SCOPUS, and EMBASE was conducted. Inclusion criteria comprised articles …

Cva In Patient With Systemic Sclerosis On Aspirin Therapy: A Case Report, Rahyan Mahmud, Bianna Koutsenko, Kenneth Goich, Usaid Hasan

Rowan-Virtua Research Day

Introduction

Systemic sclerosis is an autoimmune disorder characterized by microvascular damage and multiorgan fibrosis. These patients have a higher risk of cerebrovascular events, but it is difficult to develop strategies for prevention due to limited understanding of underlying pathophysiology.

Case Presentation

A 76-year-old female with a history of systemic sclerosis presented to the emergency department with acute onset slurred speech, facial droop, and left arm pain with a National Institutes of Health (NIH) Stroke Scale of 1. She was outside the thrombolytic window. Other history includes hypertension and hyperlipidemia; both were well controlled. MRI confirmed right frontal lobe ischemic stroke …

Pituitary Adenoma Presenting As Cranial Nerve Iii Palsy And Hemifacial Pain, Yoona Choe, Justin George, Matthew Boyle, Peter Maduka

Rowan-Virtua Research Day

Pituitary adenomas are common neoplasms arising from the pituitary adenohypophyseal cell. They can be classified by cell type, size and as nonfunctioning or functioning based on the secretion of pituitary hormones. Of these, approximately 48% are macroadenomas (>10 mm) and approximately 53% are prolactinomas. For how common these adenomas are, only 1 of 1100 persons manifest clinical symptoms¹ rendering detection and clinical management challenging.

Non-functioning adenomas are slow growing like most pituitary adenomas and are usually detected due to their mass effect on neighboring structures.² The majority of the reported symptoms as a results of these mass …

Identifying The Relationship Between Post-Concussion Mental Health And Athletic Status: Is It The Same For All Demographics?, Mary Lorraine Zsolway, Jamie Shoop

Rowan-Virtua Research Day

Purpose: The purpose of this study is to investigate whether athletic status was linked to fewer symptoms of anxiety and depression post-concussion, as well as to explore whether the impact of athletic status on mental health varied by demographics (i.e. age, sex, race, insurance status). The results of this study may assist in identifying at-risk individuals early to help prioritize those who may benefit from early referral to mental health resources.

Introduction: Mental health concerns post-concussion are relatively common, with roughly 1 in 3 individuals experiencing these symptoms. It has been previously shown that youth who participate in …

Moving On Up: A Case Study Of Hiv And Covid-Induced Guillain-Barre Syndrome, Victoria Wong Murray, Rebecca Chae, Isobel Moyer, Cindy Hou

Rowan-Virtua Research Day

COVID and HIV are both common diseases, with COVID affecting an estimated 775 million and HIV affecting 39 million people worldwide. Guillain-Barre is a rare but feared complication of immune stimulation in which the body generates autoantibodies against gangliosides, found in the nodes of Ranvier, in the myelin, and in the ganglia; causing ascending paralysis.

A mid-30s man with HIV maintained on Genvoya presented to the Jefferson Health New Jersey Early Intervention Program clinic with fatigue, fever, cough, and congestion and tested positive for SARS-CoV-2 on the following day. Two weeks later, he presented to the emergency department complaining of …

A Deep Dive Into The Relationship Between Sleep Deprivation And Pain Perception: A Cross-Population Analysis, Adam T. Friedman, Kevin Regan

Rowan-Virtua Research Day

Background: Sleep deprivation and pain perception significantly impact one another through altered sleep parameters such as Total Sleep Time (TST) and Sleep Efficiency (SE). Particularly in neuropathic pain, disturbed sleep exacerbates pain by disrupting neurobiological mediators like opioids and serotonin. Our research examined how sleep loss affects pain in chronic conditions versus healthy individuals. This research underpins our analysis of how interventions, possibly nutritional, could improve sleep quality and modulate pain perception, exploring this relationship across diverse populations and conditions.

Methods: Our study reviewed peer-reviewed articles published since 2010 on sleep deprivation and pain perception. We searched PubMed, focusing on …

Spontaneous Intracranial Hemorrhage In A 29-Year-Old Male: A Case Report, Md Fateha, Caroline Nguyen, Michael A. Morris

Rowan-Virtua Research Day

Spontaneous intracranial hemorrhage is rare, especially in a young patient population. Signs and symptoms of intracranial hemorrhage include facial droop, vision loss, motor deficits with extraocular movements, deficits with tongue movement, weakness in the arms or legs, sensation loss, and mental status change. This is a case report of a 29-year-old male with no past medical history who presented for a spontaneous intracranial hemorrhage. This patient's only neurologic deficit was the loss of visual field on the left inferior quadrant of his field of vision. The patient obtained a CT head non-contrast which showed 21 mm acute right occipital hemorrhage …

‘Not So Atypical’: An Atypical Presentation Of West Nile Virus And Guillain-Barre Syndrome, Matthew Orap, Sana Tahir, Ugonna Ononuju, Naresh Kumar

Rowan-Virtua Research Day

Guillain-Barre Syndrome (GBS) is defined by acute areflexic paralysis, usually starting in the distal lower extremities, and ascending to the upper extremities. It is associated with albuminocytologic dissociation, which involves elevated protein levels and normal cell counts in the cerebrospinal fluid. One of the types of GBS, called Miller-Fischer Syndrome (MFS), is characterized by ophthalmoplegia, ataxia, and areflexia. This case report focuses on a 49-year-old male with an atypical presentation of Guillain-Barre syndrome. Guillain-Barre syndrome can be classically caused by Campylobacter jejuni. However, there can be other infectious causes as well, namely Cytomegalovirus, Epstein-Barr virus, Varicella-Zoster virus, …

Case Report: Varicella Zoster Virus Encephalitis Presenting With Monochorea, Chetna Thawani, Frank Wheeler

Rowan-Virtua Research Day

Meningoencephalitis is a broad range of symptoms as a sequela of inflammation of the CNS system. It is a diagnosis that is often missed, especially in atypical presentations. We describe a case of HSV encephalitis that presented to the ER afebrile with atypical arm movements, most similar to a monochorea, and discuss other cases in the literature of atypical presentations of this disease.

Dysexecutive Difficulty And Subtle Everyday Functional Disabilities: The Digital Trail Making Test, David J Libon, Rod Swenson, Sean Tobyne, Ali Jannati, Daniel Schulman, Catherine C Price, Melissa Lamar, Alvaro Pascual-Leone

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Digital neuropsychological tests reliably capture real-time, process-based behavior that traditional paper/pencil tests cannot detect, enabling earlier detection of neurodegenerative illness. We assessed relations between informant-based subtle and mild functional decline and process-based features extracted from the digital Trail Making Test-Part B (dTMT-B).

METHODS: A total of 321 community-dwelling participants (56.0% female) were assessed with the Functional Activities Questionnaire (FAQ) and the dTMT-B. Three FAQ groups were constructed: FAQ = 0 (unimpaired); FAQ = 1-4 (subtle impairment); FAQ = 5-8 (mild impairment).

Results: Compared to the FAQ-unimpaired group, other groups required longer pauses inside target circles (p < 0.050) and produced more total pen strokes to complete the test (p < 0.016). FAQ-subtle participants required more time to complete the entire test (p …