Publications by authors named "Prashin Unadkat"

Quantitative imaging markers to aid in the selection of Parkinson's disease (PD) patients for surgical interventions such as subthalamic nucleus deep brain stimulation (STN-DBS) are currently lacking. Using metabolic PET and network analysis we identified and validated a treatment-induced topography, termed STN StimNet. Stimulation-mediated changes in network expression correlated with concurrent motor improvement in independent STN-DBS cohorts scanned on and off stimulation.

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Objective: To design and validate an augmented reality application for identification of temporal bone anatomy.

Background: The anatomy of the temporal bone is highly complex and can present challenges for operative planning and for education of both patients and medical trainees.

Methods: An augmented reality application for visualization and identification of temporal bone anatomy in 3D was developed using Slicer, OpenGL, and Angle libraries on the Augmented Reality on Microsoft HoloLens (AR-MH).

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Objective: Hydrocephalus, characterized by abnormal CSF accumulation, poses diagnostic and management challenges, especially in pediatric patients. Timely and accurate diagnosis is crucial for effective treatment. The aim of this study was to investigate the feasibility of using ultra-low-field portable MRI (pMRI) as a supplementary tool for assessing ventricular caliber and radiographic features of hydrocephalus, rather than as a stand-alone diagnostic modality.

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Despite the presentation of similar psychological symptoms, psychological dysfunction secondary to brain injury exhibits markedly lower treatment efficacy compared to injury-independent psychological dysfunction. This gap remains evident, despite extensive research efforts. This review integrates clinical and preclinical evidence to provide a comprehensive overview of the neurobiological mechanisms underlying neuropsychological disorders, focusing on the role of key brain regions in emotional regulation across various forms of brain injuries.

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Quantitative imaging markers to aid in the selection of Parkinson's disease (PD) patients for surgical interventions such as subthalamic nucleus deep brain stimulation (STN-DBS) are currently lacking. Using metabolic PET and network analysis we identified and validated a treatment-induced topography, termed STN StimNet. Stimulation-mediated changes in network expression correlated with concurrent motor improvement in independent STN-DBS cohorts scanned on and off stimulation.

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Major Depressive Disorder continues to remain one of the most prevalent psychiatric diseases globally. Despite multiple trials of conventional therapies, a subset of patients fail to have adequate benefit to treatment. Deep brain stimulation (DBS) is a promising treatment in this difficult to treat population and has shown strong antidepressant effects across multiple cohorts.

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Background And Objectives: ChatGPT is a natural language processing chatbot with increasing applicability to the medical workflow. Although ChatGPT has been shown to be capable of passing the American Board of Neurological Surgery board examination, there has never been an evaluation of the chatbot in triaging and diagnosing novel neurosurgical scenarios without defined answer choices. In this study, we assess ChatGPT's capability to determine the emergent nature of neurosurgical scenarios and make diagnoses based on information one would find in a neurosurgical consult.

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 MRI (magnetic resonance imaging) using low-magnet field strength has unique advantages for intraoperative use. We compared a novel, compact, portable MR imaging system to an established intraoperative 0.15 T system to assess potential utility in intracranial neurosurgery.

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Background: Intracranial solitary fibrous tumors (SFTs), formerly hemangiopericytomas (HPCs), are rare, aggressive dural-based mesenchymal tumors. While adjuvant radiation therapy has been suggested to improve local tumor control (LTC), especially after subtotal resection, the role of postoperative stereotactic radiosurgery (SRS) and the optimal SRS dosing strategy remain poorly defined.

Methods: PubMed, EMBASE, and Web of Science were systematically searched according to PRISMA guidelines for studies describing postoperative SRS for intracranial SFTs.

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Article Synopsis
  • Network analysis using FDG PET and rs-fMRI is increasingly utilized to identify circuit abnormalities linked to neurodegenerative disorders like Parkinson's disease (PD).
  • These brain networks can enhance clinical diagnosis, aid in therapeutic trials, and measure disease progression and treatment responses.
  • Recent studies suggest treatments can induce new functional brain networks in PD, with changes in these networks correlating with clinical outcomes, indicating their potential as biomarkers in future clinical trials.
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Subarachnoid hemorrhage (SAH) is a severe form of stroke that can cause unpredictable and diffuse cerebral damage, which is difficult to detect until it becomes irreversible. Therefore, there is a need for a reliable method to identify dysfunctional regions and initiate treatment before permanent damage occurs. Neurobehavioral assessments have been suggested as a possible tool to detect and approximately localize dysfunctional cerebral regions.

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Background: Visual evoked potential (VEP) recording is traditionally regarded as an unreliable evoked potential monitoring technique, precluding widespread use in intracranial neurosurgery. However, VEPs can serve as a useful intraoperative adjunct for real-time detection of mechanical damage to optic apparatuses. The low obtainability and prognostic utility of VEPs are associated with transcranial recording, which typically provides non-focal information and poor signal-to-noise ratio.

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Article Synopsis
  • Subarachnoid hemorrhage (SAH) can lead to serious and hard-to-detect brain damage, highlighting the need for effective early detection methods.
  • This study tested a neurobehavioral assessment battery to predict damage in specific brain areas after SAH, showing promising sensitivity and specificity for identifying impairments linked to damaged regions.
  • The findings suggest that regular behavioral assessments could serve as a reliable tool for early detection of SAH-related brain injury, potentially leading to better treatment outcomes.
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Introduction: Directional deep brain stimulation (dDBS) has been suggested to have a similar therapeutic effect when compared with the traditional omnidirectional DBS, but with an improved therapeutic window that yields optimized clinical effect owing to the ability to better direct, or "steer," electric current. We present our single-center, retrospective analysis of our experience in the use of dDBS in patients with movement disorders and provide a review of the literature.

Materials And Methods: We identified all patients with Parkinson disease (PD) and essential tremor (ET) who received a dDBS system between 2018 and 2022 and retrospectively examined characteristics of their longitudinal treatment.

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Purpose: Iatrogenic neurologic deficits adversely affect patient outcomes following brain tumor resection. Motor evoked potential (MEP) monitoring allows surgeons to assess the integrity of motor-eloquent areas in real-time during tumor resection to lessen the risk of iatrogenic insult. We retrospectively associate intraoperative transcranial and direct cortical MEPs (TC-MEPs, DC-MEPs) to early and late post-operative motor function to prognosticate short- and long-term motor recovery in brain tumor patients undergoing surgical resection in peri-eloquent regions.

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Background: Seizures and epilepsy after traumatic brain injury (TBI) negatively affect quality of life and longevity. Antiseizure medication (ASM) prophylaxis after severe TBI is associated with improved outcomes; these medications are rarely used in mild TBI. However, a paucity of research is available to inform ASM use in complicated mild TBI (cmTBI) and no empirically based clinical care guidelines for ASM use in cmTBI exist.

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Meningothelial hamartomas are benign lesions of the scalp with a handful of case reports published. Usually thought to be congenital lesions, they have, on occasion, been seen in older adults. In this report, we describe the first ever reported case of a patient diagnosed with a meningothelial hamartoma overlying a prior craniotomy performed two decades prior.

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Osteochondromas typically arise in the appendicular skeleton, with axial lesions occurring less commonly. Osteochondroma of the spine resulting in cord compression and symptomatic myelopathy is relatively rare. Most cases are reported in adolescents and adults.

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Background: Vestibular schwannomas exhibit a uniquely variable natural history of growth, stability, or even spontaneous regression. We hypothesized that a transitory population of immune cells, or immunomodulation of tumors cells, may influence the growth pattern of schwannomas. We therefore sought to characterize the impact of the immune microenvironment on schwannoma behavior.

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Objectives: Patients in ICUs often require neuroimaging to rule out a wide variety of intracranial problems. CT may be available in the ICU itself, but MRI has greater sensitivity for many conditions that affect the brain. However, transporting patients who are on ventilators and other life-sustaining devices is a labor-intensive process and involves placing the patient at risk for adverse events.

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Background And Purpose: Previous literature has demonstrated disparity in the postoperative recovery of first and second language function of bilingual neurosurgical patients. However, it is unclear to whether preoperative brain mapping of both languages is needed. In this study, we aimed to evaluate the clinical utility of language task functional MRI (fMRI) implemented in both languages in bilingual patients.

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Background: Intraoperative magnetic resonance imaging (IO-MRI) provides real-time assessment of extent of resection of brain tumor. Development of new enhancement during IO-MRI can confound interpretation of residual enhancing tumor, although the incidence of this finding is unknown.

Objective: To determine the frequency of new enhancement during brain tumor resection on intraoperative 3 Tesla (3T) MRI.

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Intraoperative tissue deformation, known as brain shift, decreases the benefit of using preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic resonance (MR) to intraoperative ultrasound (iUS) has been proposed as a means to compensate for brain shift. We focus on the initial registration from MR to predurotomy iUS.

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