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10 results for “Oddball”
PsPM-AOB: Eye tracker (including pupillometry) measurements from auditory oddball tasks
<p>This dataset includes eye tracker (including pupillometry) measurements from auditory oddball tasks with ITIs of 1, 2, and 3 s (in groups 1, 2, and 3 respectively). Also included are task information, keypress responses, keypress response times and key correctness for each of 66 healthy unmedicated participants (40 females and 26 males aged 24.2+/-3.9 years) participating in auditory oddball tasks. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
PsPM-HRM1-2: SCR and ECG measurements in response to white noise sounds and an auditory oddball task
<p>This dataset includes skin conductance response (SCR) and electrocardiogram (ECG) for each of 61 healthy unmedicated participants (28 males, 32 females, 1 unassigned, aged 25.8 +/- 4.6 years) in response to 20 broadband white noise sounds (HRM1) or 10 oddball tones in a oddball task (HRM2). Some participants did not did not complete HRM1 or HRM2 or were excluded from analysis such that there are 56 recordings for HRM1 and 58 recordings for HRM2. White noise sounds in HRM1 were 1 s long with 10 ms on- and offset ramp and presented at ~85 dB. Oddball and standard sounds in HRM2 were 50 ms long, with 10 ms on- and offset ramp, and presented at ~75 dB. Sound frequency was 440 Hz or 460 Hz, randomly balanced per participant to oddballs and standards. SOA between white noise sounds and oddball tones was selected randomly on each trial from 30 s, 35 s or 40 s. All stimuli were presented in one block. There is a marker for each sound onset (including standard tones) in the windaq files.</p>
Visual Oddball Task (256 channels)
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EEG: 3-Stim Auditory Oddball and Rest in Parkinson's
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EEG: Three-Stim Auditory Oddball and Rest in Acute and Chronic TBI
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PsPM-SSNA_1-2: Sudomotor Nerve Activity and Skin Conductance Response to 1: Aversive Sounds and 2: Auditory Oddballs
<p>This dataset includes skin conductance response (SCR) and sudomotor neurography signals for each of 7 healthy unmedicated participants 4 male, 3 female,23.7+/-4.0 years) in response to 20 broadband white noise sounds (SSNA_1) or 10 oddball tones in a oddball task (SSNA_2). Some participants did not complete SSNA_2 or had several repetitions of SSNA_1 such that there are 9 recordings for SSNA_1 and 5 recordings for SSNA_2. White noise sounds in SSNA_1 were 1 s long with 10 ms on- and offset ramp and presented at ~85 dB. Oddball and standard sounds in SSNA_2 were 50 ms long, with 10 ms on- and offset ramp, and presented at ~75 dB. Sound frequency was 440 Hz or 460 Hz. White noise sounds and oddball tones was separated by a random inter trial interval of at least 30 s. All stimuli for each of the experiments were presented in one block. There is a marker for each sound onset (including standard tones) in the spike recordings. Participants where instructed to press a button when hearing any sound (SSNA_1) or an oddball (SSNA_2). These keystrokes where not recorded.</p>
PsPM-SCRV5: Skin conductance responses to auditory oddballs
<p>This dataset includes skin conductance response (SCR) measurements, keypress responses and keypress response times for each of 20 healthy unmedicated participants (10 males and 10 females aged 21.8+/-3.3 years) participating in an auditory oddball task with 10 oddballs. The stimuli are delivered every second via headphones as one of two sine tones (50ms length; 10ms ramp; ~75dB; 440 or 660 Hz). Subjects are instructed to press a computer key on hearing the oddball. Oddball tone is balanced across participants. ITI is selected randomly on each trial from 29s, 34s or 39s.</p>
Dataset of the visual EEG oddball paradigm with young and older age group
<p>The data accompanies the research described in yet unpublished paper: "On the influence of aging on classification performance in the visual EEG oddball paradigm using statistical and temporal features" by Omejc, N., Peskar, M., Miladinović, A., Kavcic, V., Džeroski, S., Marusic, U.</p> <p>The package includes raw data, that were measured by 32-channel EEG set and stored as hpf5 file, preprocessed data. that were preprocessed using custom scripts that utilize EEGLAB and its plugins, and data that was at the end used in the classification task and includes two types of datasets, one with temporal features and another with ERP statistical features, as in more detail described in the paper. Additionally, the package includes locations of 32 channels on the head, the event mappings for both the older and the younger group, as well as some general information about the subjects.</p>
PsPM-AOB_UW: Eye tracker (including pupillometry) measurements from an auditory oddball and a luminance task
<p>This dataset includes eye tracker (including pupillometry) measurements from an auditory oddball task with an ITI of 2 s (session 1) and a luminance task in which discs with different shades of grey were presented. Also included are task information, keypress responses, keypress response times and key correctness for the oddball task. Data come from 23 healthy unmedicated female participants aged 41.87 +/- 3.9 years as a control group for a lesion patient with Urbach-Wiethe syndrome. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
CODEX: Oscillatory brain activity during acute exercise: Tonic and transient neural response to an Oddball task.
<p><strong>2. Method</strong></p> <p><em>2.1.</em> <em>Participants</em></p> <p>We recruited 20 young males with a high level of aerobic fitness (age between 18-31 years old, average age 23.9 years old) from the University of Granada (Spain). All participants met the inclusion criteria of reporting at least 8 hours of cycling or triathlon training per week, normal or corrected to normal vision, reported no neurological, cardiovascular or musculoskeletal disorders and were taking no medication. Note that high-fit cyclists and triathletes were selected because they are capable of maintaining a pedalling cadence at moderate-to-high intensity during long periods of time. Furthermore, they are able to keep a fixed posture over time, which reduces EEG movement artifacts considerably. Their fitness level was verified by an incremental effort test (see below). Participants were required to maintain a regular sleep-wake cycle for at least one day before each experimental session and to abstain from stimulating beverages or any intense physical activity 24 hours before each session. All subjects gave written informed consent before the study. The protocol was in accordance with both, the ethical guidelines of the University of Granada, and the Declaration of Helsinki.</p> <p> </p> <p><em>2.2. Apparatus and materials</em></p> <p>All participants were fitted with a Polar RS800 CX monitor (Polar Electro Öy, Kempele, Finland) to record their heart rate (HR) during the incremental exercise test. We used a ViaSprint 150 P cycle ergometer (Ergoline GmbH, Germany) to induce physical effort and to obtain power values, and a JAEGER Master Screen gas analyser (CareFusion GmbH, Germany) to provide a measure of gas exchange during the effort test. Oddball stimuli were presented on a 21-inch BENQ screen maintaining a fixed distance of 100 cm between the head of participants and the centre of the screen. E-Prime software (Psychology Software Tools, Pittsburgh, PA, USA) was used for stimulus presentation and behavioural data collection.</p> <p> </p> <p><em>2.3. Fitness Assessments</em></p> <p>Participants came to the laboratory at least one week before the first experimental session to provide the informed consent, complete an anthropometric evaluation (height, weight and body mass index [BMI]) and to familiarize with the oddball task. Subsequently, they performed an incremental cycle-ergometer test to obtain their VO<sub>2max</sub> that was used in the following experimental sessions to adjust the exercise intensity individually. The incremental effort test started with a 3 minutes warm-up at 30 Watts (W), with the power output increasing 10 W every minute. Each participant set his preferred cadence (between 60-90 rpm · min<sup>-1</sup>) during the warm-up period and was asked to maintain this cadence during the entire protocol. The test began at 60 W and was followed by an incremental protocol of 30 W every 3 minutes. Each step of the incremental protocol consisted of 2 minutes of stabilized load and 1 minute of progressive load increase (5 W every 10 seconds). The oxygen uptake (VO<sub>2</sub> ml • min<sup>-1 </sup>• kg<sup>-1</sup>), respiratory exchange ratio (RER; i.e., CO<sub>2</sub> production • O<sub>2</sub> consumption<sup>-1</sup>), relative power output (W • Kg<sup>-1</sup>) and heart rate (bpm) were continuously recorded throughout the test.</p> <p> </p> <p><em>2.4. Experimental sessions</em></p> <p>Participants completed two counterbalanced experimental sessions of approximately 100 min each. To avoid possible fatigue and/or training effects, visits to the laboratory were scheduled on different days allowing 48–72 hours between sessions. On each experimental session, after 10’ warm-up on a cycle-ergometer at a power load of 30% of their individual VO<sub>2max</sub>, participants performed an oddball task for 20’ while pedalling either at 30% (Light intensity exercise session) or 80% (Moderate-intensity exercise session) of their VO<sub>2max</sub>. Upon completion of the oddball task, a 10’ cool down period at 30% of intensity followed (see Table 1). Each participant set his preferred cadence (between 60-90 rpm · min<sup>-1</sup>) before the warm-up and was asked to maintain this cadence throughout the session in order to match conditions, as much as possible, in terms of dual-task demands.</p> <p> </p> <p><em>2.5. Oddball task</em></p> <p>The visual oddball task was based on that reported in Sawaki and Katayama (Sawaki & Katayama, 2007). It consisted of a random presentation of three visual stimuli: a frequent small blue circle (approximately 1.15º x 1.15º), a rare big blue circle (approximately 1.30º x 1.30º), and a rare red square (approximately 2.00º x 2.00º). Small blue circles were considered as standard stimuli (non-target), while big blue circles (target 1) and red squares (target 2) were considered as target stimuli. Stimuli were displayed sequentially on the centre of the screen on a black background. Each trial started with the presentation of a blank screen in a black background for 1200 ms. Then, the stimulus was presented at a random time interval (between 0 and 800 ms) during 150 ms. Participants were instructed to respond to both targets by pressing a button connected to the cycle-ergometer handlebar with the thumb of their dominant hand and to not respond when standard stimuli were shown. Participants were encouraged to respond as accurately as possible. The target stimuli were randomly presented in 20% of trials (10% of target 1, 10% target 2) and the non-target stimulus in the remaining 80% of trials. A total of 600 stimuli were presented. The task lasted for 20 minutes approximately. No breaks were allowed.</p> <p> </p> <p><em>2.6. EEG recording and analysis</em></p> <p>EEG data were recorded at 1000 Hz using a 30-channel actiCHamp System (Brain Products GmbH, Munich, Germany) with active electrodes positioned according to the 10-20 EEG International System and referenced to the Cz electrode. The cap was adapted to individual head size, and each electrode was filled with Signa Electro-Gel (Parker Laboratories, Fairfield, NJ) to optimize signal transduction. Participants were instructed to avoid postural movements as much as possible, and to keep their gaze on the centre of the screen during the task. Electrode impedances were kept below 10 kΩ.</p>
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