ReviewNature biomedical engineering2025
Imaging the brain by traversing the skull with light and sound.
Review in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Central nervous system lymphatic network: from the maintenance of brain homeostasis to emerging therapeutic perspectives in neurodegenerative diseases.Translational neurodegeneration · 2026Review
- Ultra-sensitive wideband diffraction-grating-coupled-mode Fabry-Pérot resonators for ultrasound and photoacoustic detection.Photoacoustics · 2026Article
- Wearable ultrasound: a review of core technologies and clinical applications in cardiovascular monitoring.Microsystems & nanoengineering · 2026Review
- Divergent scalp-to-region distance alteration patterns in autism spectrum disorders, Parkinson's disease and Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Imaging the neurohiv brain in animal models: past, present, and future-toward longitudinal, whole-brain aging phenotypes.Frontiers in aging neuroscience · 2026Review
- Optoacoustic-Guided Magnetic Microrobot Platform for Precision Drug Delivery.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- De-aberration for noninvasive transcranial photoacoustic computed tomography through an adult human skull.Communications physics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Optical and ultrasonic techniques for imaging the living brain have traditionally been limited to low-resolution interrogations or highly invasive craniotomy procedures. Localization-based techniques for super-resolution ultrasound and optical imaging, as well as hybrid optoacoustic techniques, are now enabling multiscale interrogations of the brain to exploit anatomical, functional and molecular contrasts non-invasively or minimally invasively. However, the skull bone remains a substantial obstacle to the transcranial application of light- and sound-based imaging techniques. Our knowledge of the skull's acoustic properties inherited from transcranial ultrasound has been primarily limited to a narrowband and normal-incidence-angle detection regimen, which is inapplicable to more advanced ultrasound and optoacoustic brain imaging technology. In this Perspective, we examine the transcranial wave-propagation problem, as well as recent efforts to characterize and model skull-induced distortions and develop compensatory strategies. We then summarize recent preclinical and human applications of brain imaging and delve into the most pressing challenges facing this dynamic field at the crossroads of physics, engineering and medicine.
Indexed as
Identifiers
40764398What 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.