Evidence map›Paper›PMID 29626167›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks.

Aaron Kucyi, Jessica Schrouff, Stephan Bickel, Brett L Foster, James M Shine, Josef Parvizi

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
  2. Article
  3. Short-Term Modulation of Epileptic Network with Low-Frequency Thalamic Stimulation.medRxiv : the preprint server for health sciences · 2025
    Article
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  13. Cross-regional coordination of activity in the human brain during autobiographical self-referential processing.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Review

15 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

6 authors.

Aaron KucyiDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, California 94304, akucyi@stanford.edu.ORCID 0000-0001-6707-0028
Jessica SchrouffDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, California 94304.ORCID 0000-0003-4992-3183
Stephan BickelDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, California 94304.ORCID 0000-0001-5265-2447
Brett L FosterDepartments of Neurosurgery and Neuroscience, Baylor College of Medicine, Houston, Texas 77030, and.ORCID 0000-0002-2621-5574
James M ShineBrain and Mind Center, The University of Sydney, Sydney, New South Wales 2050, Australia.ORCID 0000-0003-1762-5499
Josef ParviziDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, California 94304.ORCID 0000-0001-8520-7948

Funding

Numbers in the Human BrainR01MH109954 · NIMH · STANFORD UNIVERSITY · PI PARVIZI, JOSEF · 2016 to 2020
$2.0M
Memory, Attention, and Default Mode Processes in Human Posteromedial CortexR01NS078396 · NINDS · STANFORD UNIVERSITY · PI PARVIZI, JOSEF · 2012 to 2016
$1.7M
Spatiotemporal investigations of parietal cortex contributions to episodic memoryR00MH103479 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI FOSTER, BRETT · 2016 to 2018
$747k
CIHRNIMH NIH HHS R00 MH103479NIMH NIH HHS R01 MH109954NINDS NIH HHS R01 NS078396
6 · The paper itself

Abstract

Evidence for intrinsic functional connectivity (FC) within the human brain is largely from neuroimaging studies of hemodynamic activity. Data are lacking from anatomically precise electrophysiological recordings in the most widely studied nodes of human brain networks. Here we used a combination of fMRI and electrocorticography (ECoG) in five human neurosurgical patients with electrodes in the canonical "default" (medial prefrontal and posteromedial cortex), "dorsal attention" (frontal eye fields and superior parietal lobule), and "frontoparietal control" (inferior parietal lobule and dorsolateral prefrontal cortex) networks. In this unique cohort, simultaneous intracranial recordings within these networks were anatomically matched across different individuals. Within each network and for each individual, we found a positive, and reproducible, spatial correlation for FC measures obtained from resting-state fMRI and separately recorded ECoG in the same brains. This relationship was reliably identified for electrophysiological FC based on slow (<1 Hz) fluctuations of high-frequency broadband (70-170 Hz) power, both during wakeful rest and sleep. A similar FC organization was often recovered when using lower-frequency (1-70 Hz) power, but anatomical specificity and consistency were greatest for the high-frequency broadband range. An interfrequency comparison of fluctuations in FC revealed that high and low-frequency ranges often temporally diverged from one another, suggesting that multiple neurophysiological sources may underlie variations in FC. Together, our work offers a generalizable electrophysiological basis for intrinsic FC and its dynamics across individuals, brain networks, and behavioral states.

Indexed as

Brain WavesConnectomeAdultBrainElectrocorticographyFemaleHumansMagnetic Resonance ImagingMaleMiddle Ageddefault mode networkdorsal attention networkdynamic functional connectivityelectrocorticographyresting-state fMRI

Identifiers

PMID29626167
PMCPMC5963853

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.