Exploring brain microstructure-energy relationships with diffusion MRI and calibrated fMRI measurements

Motivation: MRI is commonly used to study brain function and microstructure separately. A joint study of brain energetics and microstructure can provide a more comprehensive characterization of brain physiology. Goal(s): To explore relationships in grey matter (GM) of brain energy consumption and microstructure markers. Approach: Spatial comparisons in GM were performed between CMRO2, CBF maps (obtained from calibrated fMRI) and microstructure parameters maps, obtained from the Soma-And-Neurite-Density-Imaging (SANDI) model of DWI data. Results: GM CMRO2 was spatially and positively correlated with SANDI's soma radius and density, with a stronger correlation to the former, suggesting that larger cells have higher metabolic demands. Impact: The identified spatial coupling between oxygen consumption and soma size in GM may aid in characterizing the relationship between function and microstructure in the healthy brain.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4870
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring brain microstructure-energy relationships with diffusion MRI and calibrated fMRI measurements

Maria Rita Carriero, Francesca Graziano, Stefano Censi, Antonio Maria Chiarelli et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced Neuroimaging Techniques and Applications
article

Exploring brain microstructure-energy relationships with diffusion MRI and calibrated fMRI measurements

Maria Rita Carriero, Francesca Graziano, Stefano Censi, Antonio Maria Chiarelli, Alessandra Caporale, Valentina Tomassini, Michael Germuska, Ekaterina Bliakharskaia, Emma Biondetti, Richard G. Wise, Marco Palombo, Davide Di Censo, Sara Pomante
article en

Abstract

Motivation: MRI is commonly used to study brain function and microstructure separately. A joint study of brain energetics and microstructure can provide a more comprehensive characterization of brain physiology. Goal(s): To explore relationships in grey matter (GM) of brain energy consumption and microstructure markers. Approach: Spatial comparisons in GM were performed between CMRO2, CBF maps (obtained from calibrated fMRI) and microstructure parameters maps, obtained from the Soma-And-Neurite-Density-Imaging (SANDI) model of DWI data. Results: GM CMRO2 was spatially and positively correlated with SANDI's soma radius and density, with a stronger correlation to the former, suggesting that larger cells have higher metabolic demands. Impact: The identified spatial coupling between oxygen consumption and soma size in GM may aid in characterizing the relationship between function and microstructure in the healthy brain.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Advanced Neuroimaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.