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NYU Dataset
Perimenopause and emergence of an Alzheimer’s bioenergetic phenotype in brain and periphery
- Authors
- Lisa MosconiRussell H. SwerdlowMony de LeonRichard S. Isaacson9 more author(s)...
- Description
This data was generated in a study to characterize brain bioenergetics in a cohort of clinically and cognitively normal women between the ages of 40 and 50 at different endocrine transition states including premenopause (n = 15), perimenopause (n = 14), and postmenopause (n = 14) in order to study the increased risk for Alzheimer’s disease in women. All subjects received clinical, laboratory, and neuropsychological...
- Subject
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Chronic DiseaseNeuroscienceRisk Factors
- Access Rights
- Free to All
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Neurofibroma (NF) Registry
- Alternate Title(s)
- NF Registry
- Description
This data contains information on patients with neurofibromatosis type 1 and neurofibromatosis type 2 and schwannomatosis. The neurofibromatoses (NF) are rare disorders with variation in clinical manifestations, and the NF Registry was created to assist researchers in studying the disease. Patients are included in the registry if they meet the diagnostic criteria for one of the three NF conditions....
- Subject
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CancerChronic DiseaseHealth StatusNeuroscienceRisk Factors
- Access Rights
- Application Required
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NYU Dataset
Neurological Emergencies Outcomes at NYU
- Alternate Title(s)
- NEON
- Authors
- Ariane LewisAaron Lord
- Description
This dataset was collected for a combined retrospective and prospective cross-sectional study to establish risk factors for infection after treatment for intracerebral hemorrhage and subarachnoid hemorrhage and to determine the impact of those infections on long-term outcomes. Data was harvested from Tisch Hospital records from January 2013 to December 2014 retrospectively and from January 2015 to...
- Subject
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Electronic Health RecordsNeuroscienceRisk Factors
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Predictive Modeling Software: Neuroanatomical Age Prediction Using R
- Alternate Title(s)
- NAPR
- Authors
- Heath R. PardoeRuben Kuzniecky
- Description
Neuroanatomical Age Prediction Using R (NAPR) is a framework that provides network-based access to predictive modeling software running on a persistent Amazon Web Services (AWS) computing instance. External users may estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The model was trained using healthy control...
- Subject
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Health StatusNeuroscience
- Access Rights
- Free to All
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NYU Dataset
SEP Montage Variability Comparison during Intraoperative Neurophysiologic Monitoring
- Authors
- Christin HansonAthena LolisAleksandar Beric
- Description
This dataset was created as part of a prospective review of somatosensory evoked potential (SEP) recordings obtained during intraoperative monitoring (IOM) on instrumented spinal surgeries that were performed for chronic underlying neurologic and neuromuscular conditions, including scoliosis, myelopathy, and spinal stenosis, on patients who did not exhibit any postoperative neurologic deficits. For...
- Subject
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NeuroscienceRisk FactorsSurgery
- Timeframe
- 2010
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Train-of-four test in intraoperative neurophysiologic monitoring: differences between hand and foot train-of-four
- Authors
- Brane GavrancicAthena LolisAleksandar Beric
- Description
This dataset was compiled as part of a study to compare T1-T4 decrement between upper and lower extremity muscles as a way to investigate the difference between recovery time from a neuromuscular blocking agent (NMBA). The study analyzed the differences between recovery of the foot, abductor hallucis muscle, and hand, first dorsal interosseous muscle, by application of quantitative train-of-four (TOF)...
- Subject
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NeuroscienceRisk FactorsSurgery
- Timeframe
- 2012
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Model-Based Deep Brain Stimulation Programming for Parkinson’s Disease: The GUIDE Pilot Study
- Authors
- Michael H. PourfarAlon Y. MogilnerSierra FarrisMonique Girouz5 more author(s)...
- Description
This dataset was compiled as part of the Graphic User Interface for deep brain stimulation (DBS) Evaluation (GUIDE) study, a multicenter prospective pilot study designed to assess whether a computer-guided model could provide equally effective and more expeditious programming results when compared with the traditional, clinical deduced method of DBS programming of the subthalamic nucleus (STN). 26...
- Subject
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Chronic DiseaseNeuroscienceSurgery
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Memory performance data as measured by acute and chronic intracranial EEG
- Authors
- Simon HeninAnita ShankarNicholas HasulakDaniel Friedman10 more author(s)...
- Description
This dataset was collected for a study to replicate previous work on hippocampal physiology predictive of successful encoding using an associative memory paradigm in a surgical intracranial electroencephalography (iEEG) group and extend those investigations to a chronic ambulatory iEEG population using RNS System devices (NeuroPace, Inc.). The primary objective was to compare the hippocampal gamma...
- Subject
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Chronic DiseaseElectronic Health RecordsNeuroscience
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
NYU Alzheimer’s Disease Research Center Data and Resources
- Alternate Title(s)
- NYU ADRC
- Authors
- Thomas Wisniewski
- Description
The NYU Alzheimer’s Disease Research Center (NYU ADRC) maintains a large database of standardized clinical and neuropathological research data collected at NYU Langone Health for local investigators, as well as those at affiliated or collaborating institutions. The NYU ADRC database includes a cumulative record of over 1,500 subjects enrolled since 1972. Data was collected every two years until 2005...
- Subject
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Chronic DiseaseHealth StatusMental HealthNeuroscienceRisk Factors
- Access Rights
- Application Required
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NYU Dataset
Neuropsychological Testing Data from the NYU Comprehensive Epilepsy Center
- Authors
- Brandon FrankLandon HurleyTravis M. ScottPat Olsen2 more author(s)...
- Description
This data was collected during clinical examinations at the NYU Comprehensive Epilepsy Center between the years of 2003 and 2008. Subjects included in this dataset have a confirmed epilepsy diagnosis from either routine electroencephalogram (EEG) or video-electroencephalogram (VEEG). The dataset does not include raw EEG data. There are 228 subjects in total. The following information was collected...
- Subject
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Chronic DiseaseHealth StatusMental HealthNeuroscience
- Access Rights
- Application RequiredAuthor Approval Required