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16 results for “Functional near-infrared spectroscopy”
Functional Near-Infrared Spectroscopy Reveals Delayed Hemodynamic Changes in the Primary Motor Cortex During Fine Motor Tasks and Decreased Interhemispheric Connectivity in Parkinson's Disease Patients
<p>This dataset contains functional near-infrared spectroscopy (fNIRS) data from 20 patients with Parkinson’s disease and 20 age- and sex-matched healthy subjects without movement disorders. There are 3 folders, each corresponding to a different task: a 10-second finger-tapping task, a 2-minute walking task, and a 6-minute resting-state. When using this dataset, please cite our work:</p> <div> <div>Guevara, E., Rivas-Ruvalcaba, F. J., Kolosovas-Machuca, E. S., Ramírez-Elías, M., Zapata, R. D. de L., Ramirez-GarciaLuna, J. L., & Rodríguez-Leyva, I. (2024). Parkinson’s disease patients show delayed hemodynamic changes in primary motor cortex in fine motor tasks and decreased resting-state interhemispheric functional connectivity: A functional near-infrared spectroscopy study. <em>Neurophotonics</em>, <em>11</em>(2), 025004. <a href="https://doi.org/10.1117/1.NPh.11.2.025004">https://doi.org/10.1117/1.NPh.11.2.025004</a></div> <div> <div> <div>Guevara, E., Solana-Lavalle, G., & Rosas-Romero, R. (2024). Integrating fNIRS and machine learning: Shedding light on Parkinson’s disease detection. <em>EXCLI Journal</em>, <em>23</em>, 763–771. <a href="https://doi.org/10.17179/excli2024-7151">https://doi.org/10.17179/excli2024-7151</a></div> <div> <div> <div> <div> <div>Guevara, E., Kolosovas-Machuca, E. S., & Rodríguez-Leyva, I. (2024). Exploring motor cortex functional connectivity in Parkinson’s disease using fNIRS. <em>Brain Organoid and Systems Neuroscience Journal</em>, <em>2</em>, 23–30. <a href="https://doi.org/10.1016/j.bosn.2024.04.001">https://doi.org/10.1016/j.bosn.2024.04.001</a></div> </div> </div> </div> </div> </div> </div> </div>
Functional near-infrared spectroscopy visually evoked measurements and Autism Questionnaire score in adults and children
<p><strong>Functional near-infrared spectroscopy (fNIRS) visually-evoked data collected from healthy adults and children. We recruited a total of 40 adult participants (20 women, age: 31.05 ± 3.94 (SD) years) and 19 children (5 girls, age: 7.20 ± 3.01 (SD) years). Adult participants filled in the Autistic-traits Quotient (AQ) questionnaire, a 50-items self-administered report validated for the Italian version. The items consist of descriptive statements assessing personal preferences and typical behavior. Since child self-report might be affected by reading and comprehension difficulties, the children's version of Autism Spectrum Quotient (Italian version of AQ-child) was completed by parents. To measure changes in total Hb (THb) concentration and relative oxygenation levels (OHb and DHb) in the occipital cortex during the task, we used a continuous-wave NIRS system with 8 red light-sources operating at 760 nm and 850 nm, and 7 detectors, forming an array of 22 multi-distant channels. </strong></p> <p> </p> <p><strong>The dataset includes 2 '.zip' files containing artifact-free visually-evoked transients HDF data, exported from Homer 3 (https://github.com/BUNPC/Homer3) in '.txt' format. Subfolders correspond to different stimulation conditions, for details refer to this paper [preprint coming soon].</strong></p> <p><strong>Each txt file is named with the corresponding subject code and contains two events [tagged as 1 (baseline) and 2 (stimulus)]. </strong></p> <p><strong>The file 'annotations.csv' contains the following fields:</strong></p> <p><strong>Code [Subjects id name, that corresponds to the filename in the recording folders]</strong></p> <p><strong>Sex [M or F]</strong></p> <p><strong>Valid [1 or 0, 0 means excluded subject]</strong></p> <p><strong>Age [int]</strong></p> <p><strong>CH_exclude [list of excluded channels]</strong></p> <p><strong>CH_Red [ list of channels that did not passed the calibration step]</strong></p> <p><strong>Category [adult or child] </strong></p> <p><strong>Cartoon_fixed [cartoon name]</strong></p> <p><strong>Cartoon_chosen [cartoon name]</strong></p> <p><strong>AQ [global AQ score] </strong></p> <p><strong>AQ_S [ AQ subscale social ] </strong></p> <p><strong>AQ_C [ AQ subscale communication ] </strong></p> <p><strong>AQ_A [ AQ subscale attention] </strong></p> <p><strong>AQ_D [ AQ subscale detail] </strong></p> <p><strong>AQ_I [ AQ subscale imagination] </strong><br> </p> <p> </p> <p> </p> <p> </p>
NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy
<p>The data from publication "NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy".<br> <br> <code>nemo-bids.zip</code> contains the raw optical density (OD) recordings and corresponding metadata for each participant.</p> <p><code><task_id>_csv.zip</code> provides an easy way to access the processed <a href="https://mne.tools/stable/auto_tutorials/epochs/10_epochs_overview.html">epochs</a> data without needing any code from the code repository or other BIDS tools.</p> <p><code>NEMO_additional_metadata.tsv</code> contains additional details, such as subject's age, monitor refresh rate, gender, handedness, recording date and time, specifics about different trial types, and more. Detailed descriptions of each column can be found in the <code>NEMO_additional_metadata_column_descriptions.tsv</code> file.</p> <p>For how to use the data, refer to <a href="https://github.com/Cognitive-Computing-Group/NEMO">https://github.com/Cognitive-Computing-Group/NEMO</a></p>
Identifying Cerebral Hemodynamic Patterns in Mood Disorders and Mild Cognitive Impairment: A Functional Near-Infrared Spectroscopy (fNIRS) Study
ClinicalTrials.gov study NCT06897670. IPD Sharing: NO. Countries: 1. Publications: 7.
Enhancing Emotion Regulation Through Functional Near-infrared Spectroscopy (fNIRS)-Informed Real-time Neurofeedback
ClinicalTrials.gov study NCT06866028. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Improving Early Intervention in Hearing Impaired Children Using Functional Near-Infrared Spectroscopy (fNIRS)
ClinicalTrials.gov study NCT05847426. IPD Sharing: YES. Countries: 1. Publications: 6.
Functional Near-Infrared Spectroscopy and Virtual Reality Relaxation Programs for Pain Management in Patients With Cancer
ClinicalTrials.gov study NCT06456411. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prognostic Value for Predicting Outcome Using Functional Near-infrared Spectroscopy in Stroke Rehabilitation
ClinicalTrials.gov study NCT04288414. IPD Sharing: NO. Countries: 1. Publications: 0.
Post-stroke Motor Rehabilitation Using Functional Near-infrared Spectroscopy-based Brain-computer-interface
ClinicalTrials.gov study NCT05258591. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Functional Near-Infrared Spectroscopy (fNIRS) Assessing Neural Activity During Virtual Reality Walking Intervention
ClinicalTrials.gov study NCT06276894. IPD Sharing: NO. Countries: 1. Publications: 0.
Functional Near-infrared Spectroscopy in Unconscious Patients
ClinicalTrials.gov study NCT04746820. IPD Sharing: NO. Countries: 1. Publications: 0.
The Role of Cognitive Flexibility in Mindfulness Intervention: a Functional Near-infrared Spectroscopy Study
ClinicalTrials.gov study NCT06103149. IPD Sharing: NO. Countries: 1. Publications: 0.
Functional Near-infrared Spectroscopy for Anxiety Monitoring and Neurofeedback.
ClinicalTrials.gov study NCT05921773. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Functional Near-Infrared Spectroscopy (fNIRS) Combined With Diffuse Correlation Spectroscopy (DCS) in Neurocognitive Disease as Compared to Healthy Neurotypical Controls
ClinicalTrials.gov study NCT05642221. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Use of Functional Near-infrared Spectroscopy to Investigate Role of Human Auditory Cortex Plasticity and Multi-sensory Integration on Cochlear Implant Performance After Single-sided Deafness
ClinicalTrials.gov study NCT03713554. IPD Sharing: YES. Countries: 0. Publications: 0.
Don't Panic! A hitchhiker's guide to functional near-infrared spectroscopy (fNIRS) data analysis for block-design paradigms
<p>Data for the Hitchhiker's guide. At the moment work in progress and only contributors will get access. This will change when the corresponding manuscript is submitted.</p>
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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.