ArticleAIMS neuroscience2023
Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG?
Article in AIMS neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Consciousness in the Brain: An Integrative Review of Contemporary Theories.Brain sciences · 2026Review
- Rethinking ALS: Current understanding and emerging therapeutic strategies.AIMS neuroscience · 2025Review
- Alterations of contralesional hippocampal subfield volumes and relations to cognitive functions in patients with unilateral stroke.Brain and behavior · 2024Article
- Evaluating the role of 7-Tesla magnetic resonance imaging in neurosurgery: Trends in literature since clinical approval.World journal of radiology · 2024Article
- Potential applications of 7 Tesla magnetic resonance imaging in paediatric neuroimaging: Feasibility and challenges.World journal of clinical pediatrics · 2024Article
- Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review.AIMS neuroscience · 2023Review
- The blue brain project: pioneering the frontier of brain simulation.AIMS neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.