ArticleNeuroImage2022
HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pediatric resting EEG collection, preprocessing, and analysis: A systematic review.Developmental cognitive neuroscience · 2026Pooled it
- Entropy-Based Analysis of Olfactory EEG as a Candidate Biomarker for Early Mild Cognitive Impairment Detection: A Proof-of-Concept Study.Biosensors · 2026Article
- DEP-TFDualNet: A Dual-Domain Attention Framework with Temporal-Frequency Fusion for Depression Recognition Using Three-Channel Frontal EEG.Sensors (Basel, Switzerland) · 2026Article
- Three-Year Changes in Cognitive and Brain Functions Among Community-Dwelling Older Adults Who Continue Working.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026Article
- Balancing noise reduction and neural signature preservation in EEG biometrics.Scientific reports · 2026Article
- Tutorial on using EEG microstates to study moment-to-moment large-scale functional brain network dynamics in neurodevelopment.Frontiers in neuroscience · 2026Article
- EEG microstate and functional connectivity analyses for differentiating suicide attempt from suicidal ideation in major depressive disorder.Journal of psychiatry & neuroscience : JPN · 2025Article
- Theta activity as a marker of cognitive development in infancy: A longitudinal study across the first two years of life.Developmental cognitive neuroscience · 2025Article
- Machine learning classification of EEG responses to pain-related vs non-pain-related stimulus in preterm infants.Pain reports · 2025Article
- Developmental Trajectories of Delta-Beta EEG Coupling Across Infancy: The Influence of Infant Temperament and Maternal Anxiety Over Time.Developmental psychobiology · 2025Article
- BrainFusion: a Low-Code, Reproducible, and Deployable Software Framework for Multimodal Brain‒Computer Interface and Brain‒Body Interaction Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Microstate analysis in infancy: Examining infant brain at rest and during experimental tasks.Brain and cognition · 2025Article
- Children's cortical speech tracking in face-to-face and online video communication.Scientific reports · 2025Article
- Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.Translational psychiatry · 2025Article
- Using Electroencephalography to Advance Mindfulness Science: A Survey of Emerging Methods and Approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Heterogeneity in pediatric resting EEG data processing and analysis: A state of the field.Psychophysiology · 2025Article
- Implementation of mobile EEG for resting-state and visual evoked potentials in young children in rural Ethiopia.Frontiers in human neuroscience · 2025Article
- Coregistration of EEG and eye-tracking in infants and developing populations.Attention, perception & psychophysics · 2025Review
- The Effects of Transcranial Direct Current Stimulation During Extended Reality Exercises for Cortical, Neuromuscular, and Clinical Recovery of Stroke Survivors.Neural plasticity · 2025Article
- Peak alpha frequency is linked to visual temporal attention in 6-month-olds.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
6 authors.
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Abstract
Lower-density Electroencephalography (EEG) recordings (from 1 to approximately 32 electrodes) are widely-used in research and clinical practice and enable scalable brain function measurement across a variety of settings and populations. Though a number of automated pipelines have recently been proposed to standardize and optimize EEG pre-processing for high-density systems with state-of-the-art methods, few solutions have emerged that are compatible with lower-density systems. However, lower-density data often include long recording times and/or large sample sizes that would benefit from similar standardization and automation with contemporary methods. To address this need, we propose the HAPPE In Low Electrode Electroencephalography (HAPPILEE) pipeline as a standardized, automated pipeline optimized for EEG recordings with lower density channel layouts of any size. HAPPILEE processes task-free (e.g., resting-state) and task-related EEG (including event-related potential data by interfacing with the HAPPE+ER pipeline), from raw files through a series of processing steps including filtering, line noise reduction, bad channel detection, artifact correction from continuous data, segmentation, and bad segment rejection that have all been optimized for lower density data. HAPPILEE also includes post-processing reports of data and pipeline quality metrics to facilitate the evaluation and reporting of data quality and processing-related changes to the data in a standardized manner. Here the HAPPILEE steps and their optimization with both recorded and simulated EEG data are described. HAPPILEE's performance is then compared relative to other artifact correction and rejection strategies. The HAPPILEE pipeline is freely available as part of HAPPE 2.0 software under the terms of the GNU General Public License at: https://github.com/PINE-Lab/HAPPE.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.