ArticleNature protocols2018
Integrated analysis of anatomical and electrophysiological human intracranial data.
Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
What it found
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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.
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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.
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Who cites it
110 citing papers in PubMed, 199 citations in OpenAlex.
- Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery.Brain : a journal of neurology · 2022Trial
- Volitional learning promotes theta phase coding in the human hippocampus.Proceedings of the National Academy of Sciences of the United States of America · 2021Trial
- An amygdala-mediated simulation-to-decision cascade aligns interbrain dynamics to solve social dilemmas.Nature neuroscience · 2026Article
- Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- Differential roles of frontoparietal regions in working memory and decision-making.bioRxiv : the preprint server for biology · 2026Article
- Mindfulness meditation increases interictal epileptiform discharges in meditation-naïve surgical epilepsy patients.Epilepsia · 2026Article
- A communication subspace relays context-dependent actions from human prefrontal to motor cortex.Nature neuroscience · 2026Article
- Electrocorticography During Deep Brain Stimulation Surgery for Movement Disorders: Single-Center Experience.Brain sciences · 2026Article
- Brain-wide information flow dynamics during novel visual processing in humans.Communications biology · 2026Article
- Opposing effects of slow and fast theta synchrony on working memory in the human hippocampal-orbitofrontal network.bioRxiv : the preprint server for biology · 2026Article
- ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.Medical image analysis · 2026Article
- Global neural oscillations underlie performance variability and attentional state fluctuations in humans.Scientific reports · 2026Article
- Cortical-limbic circuit dynamics of approach-avoidance conflict in humans.Nature communications · 2026Article
- Whole-Brain Dynamic Causal Tractography Atlas of Auditory and Visual Speech Networks Derived From Intracranial Neurophysiologic Data.Neurology · 2026Observational
- Internal and External Validation of Comprehensive High-Frequency Activity Biomarkers for Epilepsy Surgery.medRxiv : the preprint server for health sciences · 2025Article
- The development of aperiodic neural activity in the human brain.Nature human behaviour · 2025Article
- Episodic memory involves transient and sparse connectivity aligned to both internal and external events.PLoS biology · 2025Article
- Neural dynamics of proactive and reactive cognitive control in medial and lateral prefrontal cortex.iScience · 2025Article
- Localization of the Epileptogenic Zone Using Neural Spatial Volatility in Epilepsy Surgery.Neurology · 2025Observational
- Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
Human intracranial electroencephalography (iEEG) recordings provide data with much greater spatiotemporal precision than is possible from data obtained using scalp EEG, magnetoencephalography (MEG), or functional MRI. Until recently, the fusion of anatomical data (MRI and computed tomography (CT) images) with electrophysiological data and their subsequent analysis have required the use of technologically and conceptually challenging combinations of software. Here, we describe a comprehensive protocol that enables complex raw human iEEG data to be converted into more readily comprehensible illustrative representations. The protocol uses an open-source toolbox for electrophysiological data analysis (FieldTrip). This allows iEEG researchers to build on a continuously growing body of scriptable and reproducible analysis methods that, over the past decade, have been developed and used by a large research community. In this protocol, we describe how to analyze complex iEEG datasets by providing an intuitive and rapid approach that can handle both neuroanatomical information and large electrophysiological datasets. We provide a worked example using an example dataset. We also explain how to automate the protocol and adjust the settings to enable analysis of iEEG datasets with other characteristics. The protocol can be implemented by a graduate student or postdoctoral fellow with minimal MATLAB experience and takes approximately an hour to execute, excluding the automated cortical surface extraction.
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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.