ReviewNeuroImage2022
Advances in human intracranial electroencephalography research, guidelines and good practices.
Review in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
106 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Trends and hotspots of stereoelectroencephalogram from 2002 to 2023: a bibliometric analysis.Frontiers in neurology · 2024Pooled it
- Neural bases of the bodily self as revealed by electrical brain stimulation: A systematic review.Human brain mapping · 2023Pooled it
- Pooled it
- Static and Dynamic Resting-State fMRI Connectivity Show Frequency-Resolved Associations With Intracranial EEG Connectivity.Human brain mapping · 2026Article
- Differential roles of frontoparietal regions in working memory and decision-making.bioRxiv : the preprint server for biology · 2026Article
- Review
- Neural mechanisms of time-forward predictions for naturalistic auditory tone sequences.Nature communications · 2026Article
- Perspectives in conducting task-based research in pediatric surgical epilepsy patients.bioRxiv : the preprint server for biology · 2026Article
- Article
- Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings.ArXiv · 2026Article
- Human forebrain neural synchronization and entrainment to breathing during wakefulness, sleep, and external mechanical ventilation.Nature communications · 2026Article
- Human intracranial correlates of dynamic coding in auditory working memory.bioRxiv : the preprint server for biology · 2026Article
- Propofol-induced loss of responsiveness reorganizes cortical traveling waves in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Article
- Distinct laminar origins of sensory-evoked high-gamma and low-frequency ECoG signals revealed by optogenetics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Human auditory cortex preferentially tracks speech over music without explicit attention.bioRxiv : the preprint server for biology · 2026Article
- Cortical-limbic circuit dynamics of approach-avoidance conflict in humans.Nature communications · 2026Article
- Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions.Bioengineering (Basel, Switzerland) · 2026Article
- Increased Aperiodic Exponents Track Depression Symptom Severity.bioRxiv : the preprint server for biology · 2026Article
46 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
Abstract
Since the second-half of the twentieth century, intracranial electroencephalography (iEEG), including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG), has provided an intimate view into the human brain. At the interface between fundamental research and the clinic, iEEG provides both high temporal resolution and high spatial specificity but comes with constraints, such as the individual's tailored sparsity of electrode sampling. Over the years, researchers in neuroscience developed their practices to make the most of the iEEG approach. Here we offer a critical review of iEEG research practices in a didactic framework for newcomers, as well addressing issues encountered by proficient researchers. The scope is threefold: (i) review common practices in iEEG research, (ii) suggest potential guidelines for working with iEEG data and answer frequently asked questions based on the most widespread practices, and (iii) based on current neurophysiological knowledge and methodologies, pave the way to good practice standards in iEEG research. The organization of this paper follows the steps of iEEG data processing. The first section contextualizes iEEG data collection. The second section focuses on localization of intracranial electrodes. The third section highlights the main pre-processing steps. The fourth section presents iEEG signal analysis methods. The fifth section discusses statistical approaches. The sixth section draws some unique perspectives on iEEG research. Finally, to ensure a consistent nomenclature throughout the manuscript and to align with other guidelines, e.g., Brain Imaging Data Structure (BIDS) and the OHBM Committee on Best Practices in Data Analysis and Sharing (COBIDAS), we provide a glossary to disambiguate terms related to iEEG research.
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What OpenQuestion holds
Registered trials
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.