Home›Neuroscience›Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)
NeuroscienceJoVE (Open Access)Citable · DOI
Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)
DOI: 10.3791/60710-v
What you'll learn
✓Conduct multi-channel EEG recordings using cued GO/NOGO task paradigm
✓Preprocess EEG data and correct non-brain artifacts for quality control
✓Extract and interpret event-related potentials as biomarkers for ADHD diagnosis
✓Compare patient ERP patterns against normative data for clinical assessment
Protocol
Biopharma Insights EEG-methods are applied for extracting biomarkers of brain dysfunctions. The focus is on multi-channel event-related potentials (ERPs) recorded in a cued GO/NOGO task. Non-brain artifacts are corrected and ERPs are compared with the normative data. Examples relate to biomarkers for ADHD diagnosis and prediction of medication response.
Difficulty
advanced
Total time
~2–3 hours per subject (task + recording + preprocessing)
Steps
1
Prepare EEG equipment and create data file
Set up multi-channel EEG recording system, configure electrode placement, and initialize data acquisition file with participant metadata.
▶ 00:45
2
Record baseline EEG with eyes closed and open
Obtain resting-state EEG recordings in both eyes-closed and eyes-open conditions to establish baseline neural activity.
▶ 02:30
3
Train participant on GO/NOGO task protocol
Familiarize participant with cued response task instructions and practice trials before formal EEG recording begins.
▶ 03:09
4
Record EEG and button responses during task
Simultaneously acquire multi-channel EEG data and behavioral responses (button presses) throughout the cued GO/NOGO task execution.
▶ 04:20
5
Preprocess raw EEG and remove artifacts
Apply filtering, baseline correction, and artifact removal algorithms to eliminate non-brain noise and motion-related contamination.
▶ 04:53
6
Compute EEG spectra and event-related potentials
Calculate frequency-domain power spectra and time-locked ERP waveforms by averaging epochs aligned to task stimuli and responses.
▶ 05:42
7
Register and compare behavioral performance metrics
Quantify accuracy, reaction time, and response patterns from the task to correlate with ERP biomarkers.
▶ 06:55
8
Interpret ERP patterns against normative reference data
Compare patient ERP waveforms and topographic maps with healthy control data to assess proactive/reactive cognitive control dysfunction.
▶ 08:34
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