Evidence map›Paper›PMID 40501582›Full record

ArticlebioRxiv : the preprint server for biology2025

Unveiling functional-metabolic synergy in the healthy brain: multivariate integration of dynamic [

Claudia Tarricone, Giulia Vallini, Giorgia Baron, Erica Silvestri, Tommaso Volpi, Andrei G Vlassenko, Manu S Goyal, Alessandra Bertoldo

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Claudia TarriconeDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0009-0008-1767-5473
Giulia ValliniDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-9634-8401
Giorgia BaronDefitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX), École Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland.ORCID 0000-0002-0866-4982
Erica SilvestriDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-1853-0777
Tommaso VolpiPadova Neuroscience Center, University of Padova, Padova, Italy.ORCID 0000-0002-5451-6710
Andrei G VlassenkoNeuroimaging Laboratories at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA.
Manu S GoyalNeuroimaging Laboratories at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0003-1970-4270
Alessandra BertoldoDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-6262-6354

Funding

Aerobic Glycolysis in the Development ofAlzheimer's DiseaseR01AG053503 · NIA · WASHINGTON UNIVERSITY · PI RAICHLE, MARCUS E, VLASSENKO, ANDREI G. · 2017 to 2021
$4.1M
Aerobic Glycolysis: A Marker of BrainResilience to Aging and Alzheimer's DiseaseR01AG057536 · NIA · WASHINGTON UNIVERSITY · PI GOYAL, MANU S, VLASSENKO, ANDREI G. · 2017 to 2021
$3.7M
NIA NIH HHS R01 AG053503NIA NIH HHS R01 AG057536
6 · The paper itself

Abstract

Introduction: Despite accounting for only 2% of body weight, the human brain requires significant amounts of glucose, even at rest, underscoring the importance of functional-metabolic relationships. Previous studies revealed moderate associations between resting-state fMRI functional connectivity (FC) and local metabolism via [ Methods: To this end, we employed multivariate Partial Least Squares Correlation (PLSC) to investigate the functional-metabolic relationship at both nodal and network level. From dynamic [ Results: Our findings revealed that glucose delivery is linked with FC strength, particularly when fMRI signal frequencies include greater hemodynamic contributions. Even stronger functional-metabolic coupling occurs at the network level in the low-frequency fMRI band, with higher MC between sensory/attention and transmodal networks supporting stronger FC within sensory/attention areas. Conclusions: By leveraging PLSC, this work deepens our understanding of the functional-metabolic synergy in the healthy brain, providing new insights into its organization.

Indexed as

BOLD frequency bandsDynamic [18F]FDG-PETFunctional-metabolic integrationHemodynamicsPartial least squares correlation

Identifiers

PMID40501582
PMCPMC12154603

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.