Evidence map›Paper›PMID 36104858›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

A 3D atlas of functional human brain energetic connectome based on neuropil distribution.

Yuguo Yu, Adil Akif, Peter Herman, Miao Cao, Douglas L Rothman, Richard E Carson, Divyansh Agarwal, Alan C Evans, Fahmeed Hyder

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  9. Review
  10. Review
  11. The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  12. Psychosocial experiences are associated with human brain mitochondrial biology.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. In vivo neuropil density from anatomical MRI and machine learning.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  14. Article
  15. A Human Brain Map of Mitochondrial Respiratory Capacity and Diversity.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  18. Review
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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

9 authors at 5 institutions in 3 countries.

Yuguo YuShanghai Artificial Intelligence Laboratory, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Research Institute of Intelligent and Complex Systems, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200032, China.ORCID 0000-0003-0603-2890
Adil AkifDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Peter HermanDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Miao CaoShanghai Artificial Intelligence Laboratory, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Research Institute of Intelligent and Complex Systems, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200032, China.
Douglas L RothmanDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Richard E CarsonDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Divyansh AgarwalDepartment of Surgery, MGH, Harvard University, Boston, MA 02114, USA.ORCID 0000-0003-0404-6877
Alan C EvansMontreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, Canada.
Fahmeed HyderDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Yale University · USFudan University · CNHarvard University · USMontreal Neurological Institute and Hospital · CAYale Cancer Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NeurophysiologicP30NS052519 · NINDS · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2007 to 2017
$6.7M
Energetics of Neuronal Populations by fMRIR01MH067528 · NIMH · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2002 to 2021
$5.9M
13C MRS Studies of Brain Mitochondrial Metabolism in Insulin ResistanceR01NS087568 · NINDS · YALE UNIVERSITY · PI PETERSEN, KITT F, ROTHMAN, DOUGLAS LYLE · 2014 to 2018
$2.1M
Validation of GABA MRS as a Biomarker of InhibitionR01MH109159 · NIMH · YALE UNIVERSITY · PI BEHAR, KEVIN L, ROTHMAN, DOUGLAS LYLE · 2016 to 2019
$1.7M
MRS validation of computational metabolic modeling of human brain function to determine energetic disruptions underlying fMRI-derived functional connectivity in degenerative or psychiatric disordersR01NS100106 · NINDS · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED, ROTHMAN, DOUGLAS LYLE · 2017 to 2021
$959k
Assessing the Relationship between Cortical Oxidative Metabolism and Working Memory Deficits Under NMDA Receptor BlockadeR21MH110862 · NIMH · YALE UNIVERSITY · PI DRIESEN, NAOMI R, HYDER, DEWAN SYED FAHMEED · 2017 to 2018
$404k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH067528NIMH NIH HHS R01 MH109159NIMH NIH HHS R21 MH110862NINDS NIH HHS P30 NS052519NINDS NIH HHS R01 NS087568NINDS NIH HHS R01 NS100106
6 · The paper itself

Abstract

The human brain is energetically expensive, yet the key factors governing its heterogeneous energy distributions across cortical regions to support its diversity of functions remain unexplored. Here, we built up a 3D digital cortical energy atlas based on the energetic costs of all neuropil activities into a high-resolution stereological map of the human cortex with cellular and synaptic densities derived, respectively, from ex vivo histological staining and in vivo PET imaging. The atlas was validated with PET-measured glucose oxidation at the voxel level. A 3D cortical activity map was calculated to predict the heterogeneous activity rates across all cortical regions, which revealed that resting brain is indeed active with heterogeneous neuronal activity rates averaging around 1.2 Hz, comprising around 70% of the glucose oxidation of the cortex. Additionally, synaptic density dominates spatial patterns of energetics, suggesting that the cortical energetics rely heavily on the distribution of synaptic connections. Recent evidence from functional imaging studies suggests that some cortical areas act as hubs (i.e., interconnecting distinct and functionally active regions). An inverse allometric relationship was observed between hub metabolic rates versus hub volumes. Hubs with smaller volumes have higher synapse density, metabolic rate, and activity rates compared to nonhubs. The open-source BrainEnergyAtlas provides a granular framework for exploring revealing design principles in energy-constrained human cortical circuits across multiple spatial scales.

Indexed as

ConnectomeBrainHumansMagnetic Resonance ImagingNeuronsNeuropilRestbrain energeticscortical hubenergy efficiencyhuman brain connectomewhole-brain activity map

Identifiers

PMID36104858
PMCPMC10068297
OpenAlexW4295898206

What OpenQuestion holds

Textmetadata
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.