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265 results for “neurophysiology”
Speech disfluencies: Neurophysiological aspect in normal population
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Dataset of behavioral and neurophysiological data of a virtual sailing task published in: "Providing task instructions during motor training enhances performance and modulates attentional brain networks"
<p>Dataset belonging to the behavioral and neurophysiological data of the publication: "Providing task instructions during motor training enhances performance and modulates attentional brain networks". The two uploaded Zip files contain kinematic and electroencephalographic data of 36 participants for the Obstacle and HorizonTask.</p>
Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex
<p>This dataset contains the calcium imaging and behavioral data analyzed in our paper, "Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex".</p> <p>These data were obtained at the Allen Brain Observatory as part of the <em>OpenScope</em> project, which is operated by the Allen Institute.</p> <p>Analysis code is available at <a href="https://github.com/wmayner/openscope-differentiation">https://github.com/wmayner/openscope-differentiation</a>.</p>
High level information - Neurophysiological data
<p>The dataset includes the the neurometric data derived from the neurophysiological data that was collected during the experimental phases of the WorkingAge project. In particular, Electroculographic (EOG), Photoplethysmographic (PPG) and Electro Dermal Activity (EDA) features are included in the Excel files. Furthermore, the high level information about the mental states, such as the mental workload, the stress and the emotional state, related to the workers involved in the experimental protocols is included.</p>
Neurophysiologically meaningful motor imagery EEG simulated data
<p><strong>Description</strong></p> <p>This dataset contains different sessions of artificially generated motor imagery electroencephalographic (MI-EEG)-like signals. The data was generated based on PySimMIBCI [1], a framework for generating realistic MI-EEG signals by integrating neurophysiologically meaningful activity into biophysical forward models.</p> <p>Specifically, MI was modeled by simulating an Event-Related Desynchronization (ERD) in the α band (9-11 Hz) over the contralateral motor area, representing the well-known brain dynamic during hand MI tasks. Right hand MI was differentiated from rest activity by a reduction in amplitude (ERD%) on the left hemisphere. For rest trials, idle α activity was simulated without ERD. The simulation includes three types of noise and artifacts: background noise, blink artifacts, and eye movement artifacts. For more information about the simulation process, please refer to [1].</p> <p>Different sessions were simulated, with each session representing different simulated scenarios:</p> <ol> <li> <p><strong>Self-Regulation Capabilities:</strong> To evaluate MI-BCI performance under different self-regulation capabilities, nine sessions were simulated with varying levels of ERD%, ranging from 50% to 10% in steps of 5%. These sessions reflect different user abilities to modulate α-band activity during MI, with higher ERD% indicating stronger MI modulation. The name of each session indicates the ERD% level, which was constant for all the trials of the session. For example, session <em>S_30</em> represents an ERD% of 30%. It is important to mention that in all the simulated sessions, the subject performed the task correctly in every trial, meaning no failed trials were included.</p> </li> <li> <p><strong>Varying MI Modulation:</strong> An MI vs. Rest session was generated where MI trials were simulated with an ERD% sampled from a uniform distribution from 10% to 50%. This session simulates trials with varying levels of MI modulation within the same BCI session, providing a more continuous representation of user performance fluctuations during MI-BCI tasks. The name of this session is <em>S_mix</em>.<strong> </strong>A list of the ERD% corresponding to each trial is included at the <em>S_mix_ERD_list.npy</em> file.</p> </li> <li> <p><strong>Fatigue-Related Artifacts: </strong>An additional MI vs. Rest session that shows the impact of non-MI-related cortical activity, specifically fatigue-related effects. Fatigue was simulated by increasing frontal θ and parietal α power across the course of the session, as described in [1]. The first half of the trials were fatigue-free, while the second half gradually incorporated increasing fatigue levels. The MI trials in this session were simulated with a fixed ERD% of 50% ensuring consistent modulation ability throughout the session. The name of this session is <em>S_fatigue</em>.</p> </li> </ol> <p>Each session contains 100 trials per class (MI vs. Rest), of 4s duration each, simulated at 41 electrodes following the 10-5 electrode system, with a sampling frequency of 1000 Hz. It is important to mention that in all simulated sessions, the task wask correctly performed in the 100% of the trials, meaning no failed trials were included.</p> <p><strong>File Format:</strong></p> <p>Epoched data are provided as <em>.fif </em>files. This data can be easily read by <em>mne.read_epochs</em> function from the MNE-Python library.</p> <p><strong>Potential Use Cases: </strong></p> <p>This dataset is suitable for testing hypothesis during MI-BCI algorithms development, specially to study the impact of subject self-regulation capabilities and non-MI-related cortical activity on BCI efficacy.</p> <p><strong>References:</strong></p> <p>[1] C. M. Galván, R. D. Spies, D. H. Milone and V. Peterson, "Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 2346-2355, 2024, doi: 10.1109/TNSRE.2024.3417311.</p>
Figure 3 in The emerging vertebrate model species for neurophysiological studies is Danionella cerebrum, new species (Teleostei: Cyprinidae)
Figure 3. RaxmltreeforthecoxIgeneofthefivespeciesof Danionella (upperlef) fromdifferentsampling locations (data set 1) and map (upper right) showing type localities (large circles) and locations of additional samples (small circles). Note that both species, D. cerebrum and D. translucida, co-occur at each other's type locality. Roadside canal at Hmawbi (lower lef), type locality of D. cerebrum, and Daikme Chaung (lower right), type locality of D. translucida, illustrating the typical turbid streams in which these two species occur. Map created with QGIS version 3.8.3-Zanzibar (http://www.qgis.org).
Figure 1 in The emerging vertebrate model species for neurophysiological studies is Danionella cerebrum, new species (Teleostei: Cyprinidae)
Figure 1. Danionellacerebrum. (a) male (ca. 10 mmSL) and (b) female (ca. 12 mmSL) inlife, notpreserved; note yellowish chromatophores dorsally on head, melanophores scattered in rows on body in both sexes, and eggs covered by large melanophores in female; (c) MTD 39985, paratype, 10.4 mm SL, male and (d) BMNH 2021.8.30.1, holotype, 12.6 mm SL, female (below), white arrows mark position of vent, which is shifed anteriorly to the pelvic fins in males; (e) Weberian apparatus in male, MTD 39992, paratype, 11.7 mm SL and (f) female, MTD 39992, paratype, 11.8 mm SL, in lateral view; the same in male (g) and female (h) in frontal view; (e) and (g) black arrowhead marks connection between lateral process and outer arm of os suspensorium, star marks connecting flanges between inner and outer arms of os suspensorium and red arrow marks posterior extension of inner arm of os suspensorium covering swimbladder dorsally. Abbreviations: cl, claustrum; dc, drumming cartilage; ios, inner arm of os suspensorium; nc, neural complex; oos, outer arm of os suspensorium; r, rib; sc, scaphium; sw, swimbladder.
Figure 4. Timetreeofthefivespeciesof Danionella illustratingrelationshipsof D in The emerging vertebrate model species for neurophysiological studies is Danionella cerebrum, new species (Teleostei: Cyprinidae)
Figure 4. Timetreeofthefivespeciesof Danionella illustratingrelationshipsof D. cerebrum (lef), differencesin external appearance of preserved specimens (middle), and sexual dimorphisms in the skeleton of the Weberian apparatus (right, double column) in cleared and double stained specimens. Preserved specimens (middle) from top: Danionelladracula, BMNH 2008.1.1.1, male, holotype, BMNH.1.1.2–99, female, paratype, D. priapus, BMNH 2009.9.9.1, male, holotype, BMNH 2009.9.9.2–37, paratype, female; D. translucida NRM 32235, male and female paratypes; D. mirifica, USNM 372848, male and female paratypes; D. cerebrum, MTD 39985, male, paratype, BMNH 2021.8.30.1, female, holotype. Cleared and stained specimens (scale bar 0.1 mm), males, lef column from top: D. dracula, BMNH 2008.1.1.100–119, 16.2 mm; D. priapus, BMNH 2009.9.9.38–43, 16.5 mm; D. translucida, MTD 39992, 9.8 mm; D. mirifica, USNM 372848, 13.2 mm; D. cerebrum, MTD 39986, 11.7 mm; black arrowheads mark connection between lateral process and outer arm of os suspensorium, black stars mark connecting flanges between inner and outer arms of os suspensorium, and red arrows marks posterior extension of inner arm of os suspensorium covering swimbladder dorsally. Females, right column from top: D. dracula, BMNH 2008.1.1.100–119, 14.7 mm; D. priapus, BMNH 2009.9.9.38–43, 14.8 mm; D. translucida, MTD 39992, 11.2 mm; D. mirifica, USNM 372848, 13.2 mm, D. cerebrum, MTD 39986, 11.7 mm.
Neurophysiological and Kinematic Predictors of Response in Chronic Stroke
ClinicalTrials.gov study NCT02658630. IPD Sharing: YES. Countries: 1. Publications: 1.
NREM sleep EEG and wake ERP summary: The first wave of the Global Research Initiative on the neurophysiology of schizophrenia (GRINS)
<p>Motivated by the potential of objective neurophysiological markers to index thalamocortical function in patients with severe psychiatric illnesses, we comprehensively characterized key NREM sleep parameters across multiple domains, their interdependencies, and their relationship to waking event-related potentials and symptom severity. In 72 schizophrenia (SCZ) patients and 58 controls, we confirmed a marked reduction in sleep spindle density in SCZ and extended these findings to show that fast and slow spindle properties were largely uncorrelated. We also describe a novel measure of slow oscillation and spindle interaction that was attenuated in SCZ. The main sleep findings were replicated in a demographically distinct sample, and a joint model, based on multiple NREM components, statistically predicted disease status in the replication cohort. Although also altered in patients, auditory event-related potentials elicited during wake were unrelated to NREM metrics. Consistent with a growing literature implicating thalamocortical dysfunction in SCZ, our characterization identifies independent NREM and wake EEG biomarkers that may index distinct aspects of SCZ pathophysiology and point to multiple neural mechanisms underlying disease heterogeneity. This study lays the groundwork for evaluating these neurophysiological markers, individually or in combination, to guide efforts at treatment and prevention as well as identifying individuals most likely to benefit from specific interventions.</p>
Neural processing and perception of Schroeder‐phase harmonic tone complexes in the gerbil: Relating single‐unit neurophysiology to behavior
<p><span>Schroeder-phase harmonic tone complexes have been used in physiological and psychophysical studies in several species to gain insight into cochlear function. Each pitch period of the Schroeder stimulus contains a linear frequency sweep; the duty cycle, sweep velocity, and direction are controlled by parameters of the phase spectrum. Here, responses to a range of Schroeder-phase harmonic tone complexes were studied both behaviorally and in neural recordings from the auditory nerve and inferior colliculus of Mongolian gerbils. Gerbils were able to discriminate Schroeder-phase harmonic tone complexes based on sweep direction, duty cycle, and/or velocity for fundamental frequencies up to 200 Hz. Temporal representation in neural responses based on the van Rossum spike-distance metric, with time constants of either 1 ms or related to the stimulus' period, was compared to average discharge rates. Neural responses and behavioral performance were both expressed in terms of sensitivity, d', to allow direct comparisons. Our results suggest that in the auditory nerve, stimulus fine structure is represented by spike timing while envelope is represented by rate. In the inferior colliculus, both temporal fine structure and envelope appear to be represented best by rate. However, correlations between neural d' values and behavioral sensitivity for sweep direction were strongest for both temporal metrics, for both auditory nerve and inferior colliculus. Furthermore, the high sensitivity observed in the inferior colliculus neural rate-based discrimination suggests that these neurons integrate across multiple inputs arising from the auditory periphery.</span></p>
Data from "Relaxed alertness in novice and advanced meditators – A neurophysiological and psychological study of Isha Yoga practices"
<p>This dataset contains EEG power spectral data, statistical values and codes used for the findings of the paper titled:</p> <p>"Relaxed alertness in novice and advanced meditators – A neurophysiological and psychological study of Isha Yoga practices", accepted for publication in Mindfulness Journal.</p> <p>Authored by Saketh Malipeddi, Arun Sasidharan, Ravindra P.N., Seema Mehrotra, John P John and Bindu M. Kutty</p> <p>from Centre for Consciousness Studies, Department of Neurophysiology, NIMHANS, Bengaluru, India</p> <p> </p> <p> </p> <p><br> </p>
Neurophysiological assessment in a patient affected by Marfan syndrome
<p>Marfan syndrome (MS) is a hereditary connective tissue disorder characterized by different multiorgan patterns. The guidelines for MS diagnosis do not highlight the usefulness—or even the use—of any neurophysiological techniques for diagnosing this disease. Moreover, few neurophysiological studies assessing the central and peripheral nervous systems in MS subjects have been reported to date. Case presentation: We describe a male patient affected by MS. To assess sensory and nociceptive pathways in this patient, a neurophysiological assessment was performed using electroencephalogram, nerve conduction studies, and somatosensory and laser-evoked potentials. To the best of our knowledge, this is the first published case report to evaluate the role of evoked potential assessments for the study of sensory and nociceptive pathways in MS. Future studies should investigate the use of a complete neurophysiological approach for the clinical and therapeutic management of MS patients in a large sample.</p>
A Case of Psychogenic Myoclonus Responding to a Novel Transcranial Magnetic Stimulation Approach: Rationale, Feasibility, and Possible Neurophysiological Basis
<p>Repetitive transcranial magnetic stimulation (rTMS) can relieve motor symptoms related to psychogenic movement disorders (PMDs), but the subtending neurophysiological basis is unclear. We report on a 50-year-old woman with a diagnosis of psychogenic myoclonus in the right lower limb, who was treated with a daily session (in the late morning/early afternoon) of 1 Hz rTMS over the left premotor cortex (PMC), five times a week for 6 weeks. Clinical data and EEG at rest were collected before and immediately and 2-month after the rTMS protocol completion. The patient reported a significant reduction of involuntary movement frequency and intensity and the related disability burden up to the follow-up. In parallel, any abnormality in terms of source current density within and connectivity between the frontal and parietal areas was reset. The short follow–up period, the lack of extensive neurophysiological measures, and the lack of control treatment represent the main limitation of the study. However, low-frequency rTMS over PMC seems a safe and promising approach for the management of psychogenic myoclonus owing to the combination of cortical neuromodulation and non-specific mechanisms suggesting cognitive-behavioral effects.</p>
Neurophysiology of Postpartum Depression in an Experimental Model of Pregnancy and Parturition
ClinicalTrials.gov study NCT01762943. IPD Sharing: NO. Countries: 1. Publications: 3.
A Study of Neurophysiologically Based Occupational Therapy Intervention (NBOTI) for Feeding in the NCCU.
ClinicalTrials.gov study NCT00766051. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Pilot Study of Hand Function in Children With Cerebral Palsy Undergoing Intensive Neurophysiological Rehabilitation
ClinicalTrials.gov study NCT03454412. IPD Sharing: NO. Countries: 1. Publications: 2.
Motor and Neurophysiological Changes After Ischemic Conditioning in Individuals With Stroke
ClinicalTrials.gov study NCT05906602. IPD Sharing: NO. Countries: 1. Publications: 0.
Neurophysiological Mechanisms of Language Comprehension
ClinicalTrials.gov study NCT05283265. IPD Sharing: YES. Countries: 1. Publications: 12.
Neurophysiological and Acute Pharmacological Studies in FXS Patients
ClinicalTrials.gov study NCT02998151. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.