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13 results for “locked-in”
Raw EEG-EOG data used in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State"
<p>The dataset includes raw EEG and EOG recordings during BCI experiments for three patients: p11, p13, p15, and p16. The structure of the dataset is the following: patient/visit/day.</p> <p>The experiment is described in detail in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State". The correspondence between raw file and BCI session is reported in the attached pdf file "Supplementary Table S5 Session to Raw File Recordings Correspondence".</p> <p>The datasets include EEG and EOG channels. The data are raw (i.e. non filtered and non processed). Data have been acquired with a sampling rate of 500Hz using active electrodes and the amplifier V-Amp DC (Brain Products, Germany). EOG channels are labeled EOGU, EOGD, EOGR, EOGL namely for EOG up, down, right, left; the location in the 10-20 system are respectively SO1, IO1, LO1, LO2.</p> <p>The data are marked with triggers: for each session two markers indicate start and end of the session; for each trial markers indicate start of baseline, start of presentation of question, start of response time, start of feedback. Each trial was marked in a different way if it was a yes trial belonging to a training or feedback session, a no trial belonging to a training or feedback session, or a trial belonging to a speller session. The markers that have been used are the following:<br> <strong>start</strong> 9<br> <em> yes no speller</em><br> <strong>baseline</strong> 10 11 12<br> <strong>presentation</strong> 5 6 7<br> <strong>response</strong> 4 8 13<br> <strong>feedback</strong> 1 2 3</p> <p><strong>end</strong><strong> </strong> 15</p>
Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome, caregives and researchers
<p>Nine animation videos used in the questionnaire described in the articles "<strong>Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome</strong>" (<a href="https://doi.org/10.1177%2F1545968321989331">https://doi.org/10.1177/1545968321989331</a>) and "<strong>Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome, caregivers and researchers</strong>" (<a href="https://doi.org/10.1080/17483107.2021.1958932">https://doi.org/10.1080/17483107.2021.1958932</a>). <em>Video animations were designed and produced by Merel Horsmeier.</em></p>
First Study With a Brain Implant to Help Locked-in Patients Communicate at Home
ClinicalTrials.gov study NCT02224469. IPD Sharing: YES. Countries: 1. Publications: 10.
Electroencephalography of completely locked-in state patients with amyotrophic lateral sclerosis
<p>The data set includes raw EEG data for 10 completely locked-in state (CLIS) patients with amyotrophic lateral sclerosis (ALS) and 6 healthy participants. The EEG data were recorded during resting state and the reference was right mastoid. This data was used in the publication https://doi.org/10.1016/j.neures.2020.01.013.</p>
Brain Computer Interface Complete locked-in State Communication
ClinicalTrials.gov study NCT02980380. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Feasibility of mindBEAGLE in Disorders of Consciousness or Locked-In Syndrome
ClinicalTrials.gov study NCT02772302. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Fully implanted brain-computer interface in a locked-in patient with ALS
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Data from: Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients
Locked-in syndrome (LIS) is a state of quadriplegia and anarthria with preserved consciousness, which is generally triggered by a disruption of specific white matter fiber tracts, following a lesion in the ventral part of the pons. However, the impact of focal lesions on the whole brain white matter microstructure and structural connectivity pathways remains unknown. We used diffusion tensor magnetic resonance imaging (DT-MRI) and tract-based statistics to characterise the whole white matter tracts in seven consecutive LIS patients, with ventral pontine injuries but no significant supratentorial lesions detected with morphological MRI. The imaging was performed in the acute phase of the disease (26 ± 13 days after the accident). DT-MRI-derived metrics were used to quantitatively assess global white matter alterations. All diffusion coefficient Z-scores were decreased for almost all fiber tracts in all LIS patients, with diffuse white matter alterations in both infratentorial and supratentorial areas. A mixture model of two multidimensional Gaussian distributions was fitted to cluster the white matter fiber tracts studied in two groups: the least (group 1) and most injured white matter fiber tracts (group 2). The greatest injuries were revealed along pathways crossing the lesion responsible for the LIS: left and right medial lemniscus (98.4% and 97.9% probability of belonging to group 2, respectively), left and right superior cerebellar peduncles (69.3% and 45.7% probability) and left and right corticospinal tract (20.6% and 46.5% probability). This approach demonstrated globally compromised white matter tracts in the acute phase of LIS, potentially underlying cognitive deficits.
Locked-in Syndrome Caused by Pulmonary Arteriovenous Malformation: A Case Report
ClinicalTrials.gov study NCT05348902. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients
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A Dataset of neurophysiological measurements of patients with completely locked-In syndrome
<p>This is a dataset used for the psychophysiological assessment of four patients with amyotrophic lateral sclerosis (ALS) at advanced stages of the diseases with no means of communication, referred to as patients with complete locked-in syndrome (CLIS). These datasets contain electroencephalogram (EEG), electrooculography (EOG) and functional near-infrared spectroscopy (fNIRS) recordings. During a four-day visit, each patient was recorded performing the various passive and active experiments at a sensory, perceptual, and cognitive level. The dataset includes somatosensory evoked potentials (SEPs), auditory evoked potentials (AEPs), resting-state in two conditions while eyes are open and eyes closed, Brain-Computer Interface (BCI) communication attempt, and during sleep.</p>
A Dataset of an Auditory Electrooculogram-based Communication System for Patients in Locked-In State
<p>The dataset presented here contains electroencephalogram (EEG) and electrooculogram (EOG) recordings from four advanced locked-in state (LIS) patients. Data were recorded from 4 patients during a variable range of visits (from 2 to 10), each visit comprised of 3.22±1.21 days and consisted of 5.57±2.61 sessions recorded per day. The patients performed four different types of sessions, namely, training, feedback, copy spelling, and free spelling sessions. </p>
Audio files for A Dataset of EEG and EOG recordings from an Auditory EOG-based Communication System for Patients in Locked-In State
<ol> <li>Origin of the data</li> </ol> <p>These Audio files are related to the publication "A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state" by Andres Jaramillo-Gonzalez, Shize Wu, Alessandro Tonin, Aygul Rana, Majid Khalili-Ardali, Niels Birbaumer, and Ujwal Chaudhary. To use the audio data, please contact Dr. Ujwal Chaudhary, as mentioned in the manuscript.</p> <ol> <li>Details of the data</li> </ol> <p>The description of the nature and details of the *.txt files are in the section "Data Records" of the manuscript. As mentioned in the manuscript, before the beginning of the study, at least 100 questions with known "yes" or "no" answers were formulated and recorded with a family member or caretaker's voice close to the patient. Each question with a "yes" answer is paired with a similar question with a "no" answer (e.g., "Paris is the capital of France" and "Berlin is the capital of France").</p> <p>Each question is saved as an audio file with an explicit identifier, a question with a "yes" answer is saved with a 001_NUMBER identifier, and a question with a "no" answer is saved with a 002_NUMBER identifier. The NUMBER label is composed of 5 digits; the first two determine the number of the patient, and the last three digits indicate the number of the question. The value of the label NUMBER is the same for a semantically paired sentence. In the example, "001_11007.wav" indicates a "yes" type of answer, question number 07 from P11. Sentences are then placed in a specific folder of the used laptop's storage, accessed and played by the communication system along with the sessions during sentence presentation.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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