Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study

The relation between brain functional activity and the underlying structure is complex and varies depending on the specific brain region. Recently, we used graph signal processing to introduce the structural-decoupling index (SDI), a novel metric quantifying structure-function coupling in brain regi...

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Vydáno v:2022 30th European Signal Processing Conference (EUSIPCO) s. 942 - 946
Hlavní autoři: Griffa, Alessandra, Preti, Maria Giulia
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: EUSIPCO 29.08.2022
Témata:
Brain
Couplings
fingerprinting
Functional magnetic resonance imaging
graph signal processing
Magnetoencephalography
Measurement
MEG
Organizations
Signal processing
structural-decoupling index
ISSN:2076-1465
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Shrnutí:The relation between brain functional activity and the underlying structure is complex and varies depending on the specific brain region. Recently, we used graph signal processing to introduce the structural-decoupling index (SDI), a novel metric quantifying structure-function coupling in brain regions, based on graph spectral filtering of functional activity. At slow temporal scales accessible with resting-state functional magnetic resonance imaging, the SDI showed a meaningful spatial gradient from unimodal (more coupled) to transmodal regions (more liberal). It also showed to perform very well for brain fingerprinting; i.e., individuals could be classified with near perfect accuracy based on their SDI. Here, we investigate structure-function coupling at faster temporal scales and its specificity to individuals, by means of resting-state magnetoencephalography (MEG) of 84 healthy subjects. We found that the MEG SDI forms a cortical gradient from task-positive regions, more coupled, to task-negative regions, highly decoupled. Great specificity of the SDI to individuals was confirmed, with largest subject classification accuracies in the beta and alpha bands. We conclude that structure-function coupling changes across temporal scales of investigation and provides rich signatures of individual brain organization at rest.
ISSN:2076-1465
DOI:10.23919/EUSIPCO55093.2022.9909757