dandiarchive-dataset/s3://dandiarchive/dandisets/001333/draft/dandiset.yaml

'@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.9/context.json
access:
- schemaKey: AccessRequirements
  status: dandi:OpenAccess
assetsSummary:
  approach:
  - name: electrophysiological approach
    schemaKey: ApproachType
  dataStandard:
  - identifier: RRID:SCR_015242
    name: Neurodata Without Borders (NWB)
    schemaKey: StandardsType
  measurementTechnique:
  - name: analytical technique
    schemaKey: MeasurementTechniqueType
  - name: signal filtering technique
    schemaKey: MeasurementTechniqueType
  - name: surgical technique
    schemaKey: MeasurementTechniqueType
  - name: multi electrode extracellular electrophysiology recording technique
    schemaKey: MeasurementTechniqueType
  numberOfBytes: 692579472
  numberOfFiles: 1279
  numberOfSubjects: 5
  schemaKey: AssetsSummary
  species:
  - identifier: http://purl.obolibrary.org/obo/NCBITaxon_9606
    name: Homo sapiens - Human
    schemaKey: SpeciesType
  variableMeasured:
  - ElectricalSeries
  - LFP
  - ElectrodeGroup
  - ProcessingModule
citation: Biswas, Ananna (2025) Parkinson's Electrophysiological Signal Dataset (PESD)
  (Version draft) [Data set]. DANDI Archive. https://dandiarchive.org/dandiset/001333/draft
contributor:
- affiliation: []
  email: ananna314.bd@gmail.com
  includeInCitation: true
  name: Biswas, Ananna
  roleName:
  - dcite:ContactPerson
  schemaKey: Person
dateCreated: '2025-02-08T10:15:43.847350+00:00'
datePublished: '2025-03-27T22:20:53.652589+00:00'
description: 'The dataset contains electrophysiological signals from both healthy
  and parkinsonian subjects. We generated two types of samples from each group. The
  parkinsonian signals show a relatively high power density at the beta frequency
  (13 to 30 Hz). Thus, the beta oscillations (13 to 30 Hz) in the subthalamic nucleus
  (STN) are typically used as the pathological biomarkers for PD symptoms. Each sample
  includes two types of signals: Beta Average Rectified Voltage (ARV) and Local Field
  Potential (LFP) from the Subthalamic Nucleus (STN). The ARV signals are in the frequency
  domain and LFP signals are in the time domain.


  Beta ARV Signal: The controller beta values are determined by calculating the Average
  Rectified Value (ARV) of the beta band. This is achieved by fully rectifying the
  filtered LFP signal using a fourth-order Chebyshev band-pass filter with an 8 Hz
  bandwidth, centered around the peak of the LFP power spectrum. Local Field Potential
  (LFP) - STN: Local Field Potentials are derived from the synchronized activity of
  neuron populations between the cortex, STN, and thalamus.


  More details can be found in our article named, “Preliminary Results of Neuromorphic
  Controller Design and a Parkinson''s Disease Dataset Building for Closed-Loop Deep
  Brain Stimulation”, available at https://arxiv.org/abs/2407.17756'
id: DANDI:001333/draft
identifier: DANDI:001333
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/001333/versions/draft/assets/
name: Parkinson's Electrophysiological Signal Dataset (PESD)
publishedBy:
  endDate: '2025-03-27T22:20:53.652589+00:00'
  id: urn:uuid:ae476dfe-913c-4cfe-932b-8f1f99342dff
  name: DANDI publish
  schemaKey: PublishActivity
  startDate: '2025-03-27T22:20:53.652589+00:00'
  wasAssociatedWith:
  - id: urn:uuid:c92d6c4d-4458-424e-bbd3-3e84585e3190
    identifier: RRID:SCR_017571
    name: DANDI API
    schemaKey: Software
    version: 0.1.0
repository: https://dandiarchive.org
schemaKey: Dandiset
schemaVersion: 0.6.9
url: https://dandiarchive.org/dandiset/001333/draft
version: draft