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265
datasets available to search
ShareScore release 0.9.0
Dataset results
265 results for “neurophysiology”
Anesthesia During Neurophysiologic Monitoring in Scoliosis Patients
ClinicalTrials.gov study NCT01549873. IPD Sharing: Not stated. Countries: 1. Publications: 0.
EEG Study on Neurophysiological and Psychological Effects of Ericksonian Hypnotherapy in Generalized Anxiety Disorder
ClinicalTrials.gov study NCT06811311. IPD Sharing: YES. Countries: 1. Publications: 0.
Neurophysiological Markers in Patients With Craniofacial Dystonia and Their Relatives
ClinicalTrials.gov study NCT00082615. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Neurophysiological Markers of Pediatric Irritability and Its Response to Intervention
ClinicalTrials.gov study NCT03279952. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Neurophysiological Characteristics of Subthalamic Deep-brain Stimulation (STN-DBS)
ClinicalTrials.gov study NCT04707638. IPD Sharing: NO. Countries: 0. Publications: 2.
Cognition, Sleep, Neurophysiology of Suicidal Depressed Patients
ClinicalTrials.gov study NCT04813835. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Neurophysiological Studies in Patients With Paroxysmal Hyperkinetic Movement Disorders
ClinicalTrials.gov study NCT00056888. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Neurophysiological Assessment in Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT04997343. IPD Sharing: YES. Countries: 0. Publications: 27.
To Investigate the Effect of Aerobic Exercise on Neurophysiological Values and Functionality in Individuals With Multiple Sclerosis.
ClinicalTrials.gov study NCT04121637. IPD Sharing: NO. Countries: 0. Publications: 22.
Neurophysiology of Task-Specificity of Focal Hand Dystonia
ClinicalTrials.gov study NCT00309010. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Effects of Perampanel on Neurophysiology Test Perimeters
ClinicalTrials.gov study NCT03653741. IPD Sharing: NO. Countries: 1. Publications: 0.
Neurophysiological Targets for Cognitive Training in Schizophrenia
ClinicalTrials.gov study NCT00923078. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Direct behavioral and neurophysiological evidence for retronasal olfaction in mice
Open the record for dataset details and reuse information.
Data from: Neurophysiological evidence for crossmodal person-identity representation in the human left ventral temporal cortex
Open the record for dataset details and reuse information.
Data from: Objective estimation of sensory thresholds based on neurophysiological parameters
Reliable determination of sensory thresholds is the holy grail of signal detection theory. However, there exists no assumption-independent gold standard for the estimation of thresholds based on neurophysiological parameters, although a reliable estimation method is crucial for both scientific investigations and clinical diagnosis. Whenever it is impossible to communicate with the subjects, as in studies with animals or neonates, thresholds have to be derived from neural recordings or by indirect behavioral tests. Whenever the threshold is estimated based on such measures, the standard approach until now is the subjective setting—either by eye or by statistical means—of the threshold to the value where at least a "clear" signal is detectable. These measures are highly subjective, strongly depend on the noise, and fluctuate due to the low signal-to-noise ratio near the threshold. Here we show a novel method to reliably estimate physiological thresholds based on neurophysiological parameters. Using surrogate data we demonstrate that fitting the responses to different stimulus intensities with a hard sigmoid function, in combination with subsampling, provides a robust threshold value as well as an accurate uncertainty estimate. This method has no systematic dependence on the noise and does not even require samples in the full dynamic range of the sensory system. We prove that this method is universally applicable to all types of sensory systems, ranging from somatosensory stimulus processing in the cortex to auditory processing in the brain stem.
Micropatterned neurovascular interface to mimic the blood-brain barrier neurophysiology and micromechanical function
<p><strong>Supplementary Materials: </strong>A list of additional supporting information with the immunostaining of tight junction (zona occludens-1, glucose transporter); Quantitative impedance measurement; Analysis of Ca sparks parameters and spatiotemporal density analysis of calcium signaling in endothelial cells are supplied.</p>
Toward understanding the neurophysiological basis of peripersonal space
<p>The subcortical mechanisms subtending the sensorimotor processes related to the peripersonal space (PPS) have been well characterized, whereas less evidence is available concerning the cortical mechanisms. We investigated the theta, alpha and beta event-related spectral perturbations (ERSP) while holding the forearm in different positions into the PPS of the face. Fifty healthy individuals were subjected to EEG recording while being provided with median nerve electric stimulation at the wrist of the right hand held at different hand-to-face distances. Theta and beta rhythms were significantly perturbed depending on the hand-to-face distance, whereas alpha oscillations reflected a more general, non-specific oscillatory response to the motor task. The perturbation of theta and beta frequency bands may reflect the processes of top-down modulation overseeing the conscious spatiotemporal encoding of sensory-motor information within the PPS. In other words, such perturbation reflects the continuous update of the conscious internal representations of the PPS to build up a purposeful and reflexive motor response.</p>
Distributed Subnetworks of Depression Defined by Direct Intracranial Neurophysiology
<p>SuperEEG model associated with "Scangos, K.W et al. 2021. Distributed Subnetworks of Depression Defined by Direct Intracranial Neurophysiology. Front. Hum. Neurosci."</p> <p> </p> <p>Dataset includes the following files:</p> <p> FULL_MODEL.model.npy - SuperEEG model trained on the entire study cohort. File is in Python/Numpy-readable format. Each row/column corresponds to a pair of intracranial EEG electrode contacts.</p> <p> FULL_MODEL.locs.csv - Three-dimensional coordinates of intracranial EEG electrode contacts in Montreal Neurological Institute (MNI) format. File is in a comma-separated values (CSV) format.</p>
The Effect of Neurophysiological Facilitation Techniques on Respiratory in Stroke
ClinicalTrials.gov study NCT05601934. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Circadian Modulation of Neurophysiological Responses to Therapeutic Massage Modalities
ClinicalTrials.gov study NCT07367607. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.