The effects of music and darkness on radionuclide distribution during mice FDG-PET scan.

Our results suggest that music and environmental factors may influence FDG uptake in small-animal PET imaging, and provide important insights into the reliability of FDG-PET imaging for music intervention research and may aid researchers in investigating the effects of music on brain changes and tissue metabolism.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.22099/ijvr.2024.49641.7306
Primary Topic
Music Therapy and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of music and darkness on radionuclide distribution during mice FDG-PET scan.

Mustafa Ay, Mohammad Seyedabadi, Hossein Ghadiri, Kaveh Tanha
PubMed
Music Therapy and Health
article

The effects of music and darkness on radionuclide distribution during mice FDG-PET scan.

Mustafa Ay, Mohammad Seyedabadi, Hossein Ghadiri, Kaveh Tanha
article en

Abstract

Our results suggest that music and environmental factors may influence FDG uptake in small-animal PET imaging, and provide important insights into the reliability of FDG-PET imaging for music intervention research and may aid researchers in investigating the effects of music on brain changes and tissue metabolism.

PubMedVol. 25(4)
Tehran University of Medical Sciences (IR), Mazandaran University of Medical Sciences (IR)
Tehran University of Medical Sciences and Health Services
Openalex Percentile: Top 88%
Music Therapy and Health
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.