ReviewAnalytical biochemistry2017
Imaging based magnetic resonance spectroscopy (MRS) localization for quantitative neurochemical analysis and cerebral metabolism studies.
Review in Analytical biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Phenotype Classification of Intact Cells by NMR Spectroscopy through Machine Learning Approaches.Journal of the American Chemical Society · 2026Article
- Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in crosslinking and post-gelation pH.Frontiers in bioengineering and biotechnology · 2026Article
- Imaging markers of neuroinflammation in aging and Alzheimer's disease and related dementia: A comprehensive review.Neuroscience and biobehavioral reviews · 2025Review
- Applications of magnetic resonance spectroscopy in diagnosis of neurodegenerative diseases: A systematic review.Heliyon · 2024Article
- Precision Concussion Management: Approaches to Quantifying Head Injury Severity and Recovery.Brain sciences · 2023Review
- Modafinil Improves Autism-like Behavior in Rats by Reducing Neuroinflammation.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2023Article
- Predicting a Favorable (mRS 0-2) or Unfavorable (mRS 3-6) Stroke Outcome by Arterial Spin Labeling and Amide Proton Transfer Imaging in Post-Thrombolysis Stroke Patients.Journal of personalized medicine · 2023Article
- Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers.Psychoradiology · 2023Review
- Multinuclear MRI in Drug Discovery.Molecules (Basel, Switzerland) · 2022Review
- Accelerated MR spectroscopic imaging-a review of current and emerging techniques.NMR in biomedicine · 2021Review
- Anterior cingulate gamma-aminobutyric acid concentrations and electroconvulsive therapy.Brain and behavior · 2020Article
- Lower Choline Rate in the Left Prefrontal Cortex Is Associated With Higher Amount of Alcohol Use in Alcohol Use Disorder.Frontiers in psychiatry · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Accurate quantitative metabolic imaging of the brain presents significant challenges due to the complexity and heterogeneity of its structures and compositions with distinct compartmentations of brain tissue types (e.g., gray and white matter). The brain is compartmentalized into various regions based on their unique functions and locations. In vivo magnetic resonance spectroscopy (MRS) techniques allow non-invasive measurements of neurochemicals in either single voxel or multiple voxels, yet the spatial resolution and detection sensitivity of MRS are significantly lower compared with MRI. A fundamentally different approach, namely spectral localization by imaging (SLIM) provides a new framework that overcomes major limitations of conventional MRS techniques. Conventional MRS allows only rectangular voxel shapes that do not conform to the shapes of brain structures or lesions, while SLIM allows compartments with arbitrary shapes. However, the restrictive assumption proposed in the original concept of SLIM, i.e., compartmental homogeneity, led to spectral localization errors, which have limited its broad applications. This review focuses on the recent technical frontiers of image-based MRS localization techniques that overcome the limitations of SLIM through the development and implementation of various new strategies, including incorporation of magnetic field inhomogeneity corrections, the use of multiple receiver coils, and prospective optimization of data acquisition.
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.