Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG?

Arosh S. Perera Molligoda Arachchige; Arosh S. Perera Molligoda Arachchige

doi:10.3934/Neuroscience.2023001

AIMS Neuroscience

2023, Volume 10, Issue 1: 1-4. doi: 10.3934/Neuroscience.2023001

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Commentary

Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG?

Arosh S. Perera Molligoda Arachchige ^,

Department of Biomedical Sciences, Humanitas University, Milan, Italy

Received: 08 February 2023 Accepted: 14 February 2023 Published: 20 February 2023

The possibility of multimodality imaging with PET/MR and the availability of ultra-high field MRI has allowed to investigate novel aspects of neuropsychiatric conditions. One of the major barriers in current studies is the lack of an instrument that allows to accurately cover the temporal aspect under the same physiological conditions. The aim of this commentary is to provide our perspective on how the integration of EEG-PET-MR could be a solution to the current challenge in molecular imaging and seems to hold great promise in future pharmacological challenging-based studies, understanding different functional states of the brain, and could furthermore aid in the diagnostic and prognostic evaluations of neurocognitive disorders.
- PET,
- MR,
- EEG,
- multimodality,
- neuroimaging
Citation: Arosh S. Perera Molligoda Arachchige. Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG?[J]. AIMS Neuroscience, 2023, 10(1): 1-4. doi: 10.3934/Neuroscience.2023001

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Abstract

The possibility of multimodality imaging with PET/MR and the availability of ultra-high field MRI has allowed to investigate novel aspects of neuropsychiatric conditions. One of the major barriers in current studies is the lack of an instrument that allows to accurately cover the temporal aspect under the same physiological conditions. The aim of this commentary is to provide our perspective on how the integration of EEG-PET-MR could be a solution to the current challenge in molecular imaging and seems to hold great promise in future pharmacological challenging-based studies, understanding different functional states of the brain, and could furthermore aid in the diagnostic and prognostic evaluations of neurocognitive disorders.

Conflicts of interest

The author has no conflicts of interest to declare.

References

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