Evidence map›Paper›PMID 17712784›Full record

ArticleHuman brain mapping2008

Dynamics of event-related causality in brain electrical activity.

Anna Korzeniewska, Ciprian M Crainiceanu, Rafał Kuś, Piotr J Franaszczuk, Nathan E Crone

Abstract read
In one paragraph

Article in Human brain mapping, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed.

  1. Redefining the role of Broca's area in speech.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Trial
  2. Electrocorticographic correlates of overt articulation of 44 English phonemes: intracranial recording in children with focal epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2014
    Trial
  3. Enhanced Glioblastoma Detection ThroughMagnetic resonance in medicine · 2026
    Article
  4. A corollary discharge circuit in human speech.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. High-level cognition is supported by information-rich but compressible brain activity patterns.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Music and Brain Circuitry: Strategies for Strengthening Evidence-Based Research for Music-Based Interventions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Review
  13. Review
  14. Article
  15. Significance of event related causality (ERC) in eloquent neural networks.Neural networks : the official journal of the International Neural Network Society · 2022
    Article
  16. How Do You Feel the Rhythm: Dynamic Motor-Auditory Interactions Are Involved in the Imagination of Hierarchical Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anna KorzeniewskaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Ciprian M Crainiceanu
Rafał Kuś
Piotr J Franaszczuk
Nathan E Crone

Funding

Electrocorticographic studies of human cortical functionR01NS040596 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E · 2001 to 2014
$6.7M
NINDS NIH HHS R01 NS040596
6 · The paper itself

Abstract

A new method (Event-Related Causality, ERC) is proposed for the investigation of functional interactions between brain regions during cognitive processing. ERC estimates the direction, intensity, spectral content, and temporal course of brain activity propagation within a cortical network. ERC is based upon the short-time directed transfer function (SDTF), which is measured in short EEG epochs during multiple trials of a cognitive task, as well as the direct directed transfer function (dDTF), which distinguishes direct interactions between brain regions from indirect interactions via brain regions. ERC uses new statistical methods for comparing estimates of causal interactions during prestimulus "baseline" epochs and during poststimulus "activated" epochs in order to estimate event-related increases and decreases in the functional interactions between cortical network components during cognitive tasks. The utility of the ERC approach is demonstrated through its application to human electrocorticographic recordings (ECoG) of a simple language task. ERC analyses of these ECoG recordings reveal frequency-dependent interactions, particularly in high gamma (>60 Hz) frequencies, between brain regions known to participate in the recorded language task, and the temporal evolution of these interactions is consistent with the putative processing stages of this task. The method may be a useful tool for investigating the dynamics of causal interactions between various brain regions during cognitive task performance.

Indexed as

BrainBrain MappingCognitionElectroencephalographyHumansLanguage

Identifiers

PMID17712784
PMCPMC6870676

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.