Evidence map›Paper›PMID 37752115›Full record

ArticleNature communications2023

Neurophysiological signatures of cortical micro-architecture.

Golia Shafiei, Ben D Fulcher, Bradley Voytek, Theodore D Satterthwaite, Sylvain Baillet, Bratislav Misic

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
12.7field-weighted citation impact, top 1% of its field
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

54 citing papers in PubMed, 72 citations in OpenAlex.

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  12. Concurrent Multimodal Imaging Demonstrates That EEG-Based Excitation/Inhibition Balance Reflects Glutamate and GABA Balance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Golia ShafieiMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.
Ben D FulcherSchool of Physics, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0002-3003-4055
Bradley VoytekDepartment of Cognitive Science, Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-1640-2525
Theodore D SatterthwaiteDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0001-7072-9399
Sylvain BailletMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0002-6762-5713
Bratislav MisicMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada. bratislav.misic@mcgill.ca.ORCID 0000-0003-0307-2862
Montreal Neurological Institute and Hospital · CAThe University of Sydney · AUUniversity of California San Diego · USUniversity of Pennsylvania · US

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Tools for parameterizing and visualizing electrophysiological rhythmic and arrhythmic featuresR01GM134363 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VOYTEK, BRADLEY T. · 2019 to 2022
$1.4M
NIBIB NIH HHS R01 EB026299NIGMS NIH HHS R01 GM134363
6 · The paper itself

Abstract

Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and how they arise from heterogeneous cortical micro-architecture remains unknown. Here we extensively profile regional neurophysiological dynamics across the human brain by estimating over 6800 time-series features from the resting state magnetoencephalography (MEG) signal. We then map regional time-series profiles to a comprehensive multi-modal, multi-scale atlas of cortical micro-architecture, including microstructure, metabolism, neurotransmitter receptors, cell types and laminar differentiation. We find that the dominant axis of neurophysiological dynamics reflects characteristics of power spectrum density and linear correlation structure of the signal, emphasizing the importance of conventional features of electromagnetic dynamics while identifying additional informative features that have traditionally received less attention. Moreover, spatial variation in neurophysiological dynamics is co-localized with multiple micro-architectural features, including gene expression gradients, intracortical myelin, neurotransmitter receptors and transporters, and oxygen and glucose metabolism. Collectively, this work opens new avenues for studying the anatomical basis of neural activity.

Indexed as

BrainBrain MappingHumansMagnetoencephalographyNeurophysiologyReceptors, NeurotransmitterReceptors, Neurotransmitter

Identifiers

PMID37752115
PMCPMC10522715
OpenAlexW4387043781

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.