ReviewNature reviews. Neurology2023
Functional brain networks in the evaluation of patients with neurodegenerative disorders.
Review in Nature reviews. Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 54 papers, 3 of them syntheses that pooled it.
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
54 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Biomarkers for Alzheimer's disease across diverse biological domains: an umbrella review and evidence map.Journal of advanced research · 2026Pooled it
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles.Human brain mapping · 2024Pooled it
- Effects of immersive virtual reality and adaptive cognitive training on cognition and function in parkinson's disease mild cognitive impairment: a randomized clinical trial.Scientific reports · 2026Trial
- Solute carrier membrane transporters: emerging targets in CNS disorders.Nature reviews. Drug discovery · 2026Review
- Dual-tracer [Quantitative imaging in medicine and surgery · 2026Article
- Parkinson's disease: Individual placebo responses are predicted by baseline expression of a striato-limbic network.Research square · 2026Article
- Brain-Derived Extracellular Vesicle Subpopulations: from Bulk Measurements to Single-Entity Assays.JACS Au · 2026Review
- Brain Network Patterns in Patients With Multiple System Atrophy: Spatial Independent Component Analysis Using FDG-PET Data.Neurology · 2026Article
- Metabolic brain networks in dementia with Lewy bodies: from prodromal to manifest disease stages.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Article
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Characteristics and mechanisms of cognitive impairment in Parkinson disease.Nature reviews. Neurology · 2026Review
- Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing.Progress in neurobiology · 2026Article
- Eagle eyes on the human brain and beyond: PET at ultra-high spatial resolution.European journal of nuclear medicine and molecular imaging · 2026Article
- Non-invasive identification of brain signatures of acute liver injury.Theranostics · 2026Article
- Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026Article
- Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography.European journal of nuclear medicine and molecular imaging · 2025Review
- Cellular and molecular associations with intrinsic brain organization.Nature communications · 2025Article
- The effective connectome over a century of human life.Communications biology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network analytical tools are increasingly being applied to brain imaging maps of resting metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to characterize the abnormal neural circuitry that underlies brain diseases. This approach is particularly valuable for the study of neurodegenerative disorders, which are characterized by stereotyped spread of pathology along discrete neural pathways. Identification and validation of disease-specific brain networks facilitate the quantitative assessment of pathway changes over time and during the course of treatment. Network abnormalities can often be identified before symptom onset and can be used to track disease progression even in the preclinical period. Likewise, network activity can be modulated by treatment and might therefore be used as a marker of efficacy in clinical trials. Finally, early differential diagnosis can be achieved by simultaneously measuring the activity levels of multiple disease networks in an individual patient's scans. Although these techniques were originally developed for PET, over the past several years analogous methods have been introduced for functional MRI, a more accessible non-invasive imaging modality. This advance is expected to broaden the application of network tools to large and diverse patient populations.
Indexed as
Identifiers
36539533What 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.