ArticleNeuroImage2022
Connectomics of human electrophysiology.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis 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
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Cognitive training effects are shaped more by individual brain dynamics than age-evidence from younger and older women.GeroScience · 2026Trial
- Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study.Brain structure & function · 2026Article
- Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Widespread Hyper-Coupling and Frequency-Specific Dysregulation of Phase-Amplitude Coupling in Young Children with Autism Spectrum Disorder.Brain sciences · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization.Nature communications · 2026Article
- Confronting the connectivity crisis in human M/EEG research.Trends in cognitive sciences · 2025Review
- Cell-to-cell communication: from physical calling to remote emotional touching.Discover nano · 2025Article
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human brain mapping · 2025Article
- TdCCA with Dual-Modal Signal Fusion: Degenerated Occipital and Frontal Connectivity of Adult Moyamoya Disease for Early Identification.Translational stroke research · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- A multiplex of connectome trajectories enables several connectivity patterns in parallel.eLife · 2025Article
- Models of human hippocampal specialization: a look at the electrophysiological evidence.Trends in cognitive sciences · 2025Review
- Integrated Classification of Cortical Cells and Quantitative Projectomic Mapping Unveil Organizational Principles of Brain-Wide Connectomes at Single Cell Level.bioRxiv : the preprint server for biology · 2025Article
- GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals.Patterns (New York, N.Y.) · 2025Article
- Piezo Ion Channels and Their Association With Haptic Technology Use: A Narrative Review.Cureus · 2025Review
- Multilayer network analysis across cortical depths in 7-T resting-state fMRI.Network neuroscience (Cambridge, Mass.) · 2025Article
- Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.PLoS computational biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
We present both a scientific overview and conceptual positions concerning the challenges and assets of electrophysiological measurements in the search for the nature and functions of the human connectome. We discuss how the field has been inspired by findings and approaches from functional magnetic resonance imaging (fMRI) and informed by a small number of significant multimodal empirical studies, which show that the canonical networks that are commonplace in fMRI are in fact rooted in electrophysiological processes. This review is also an opportunity to produce a brief, up-to-date critical survey of current data modalities and analytical methods available for deriving both static and dynamic connectomes from electrophysiology. We review hurdles that challenge the significance and impact of current electrophysiology connectome research. We then encourage the field to take a leap of faith and embrace the wealth of electrophysiological signals, despite their apparent, disconcerting complexity. Our position is that electrophysiology connectomics is poised to inform testable mechanistic models of information integration in hierarchical brain networks, constructed from observable oscillatory and aperiodic signal components and their polyrhythmic interactions.
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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.