ReviewAJNR. American journal of neuroradiology2014
Multivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspective.
Review in AJNR. American journal of neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis 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
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease.PloS one · 2018Trial
- Multivariate Pattern Analysis of fMRI Reveals Striato-Cortical Network Changes in Myoclonus-Dystonia.European journal of neurology · 2025Article
- Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain.Clinical neuroradiology · 2024Review
- Emotion regulation in bipolar disorder type-I: multivariate analysis of fMRI data.International journal of bipolar disorders · 2023Article
- Brain correlates of subjective cognitive complaints in COVID-19 survivors: A multimodal magnetic resonance imaging study.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2023Article
- Distinct Neural Profiles of Frontoparietal Networks in Boys with ADHD and Boys with Persistent Depressive Disorder.Cognitive, affective & behavioral neuroscience · 2022Article
- Dynamic and Static Amplitude of Low-Frequency Fluctuation Is a Potential Biomarker for Predicting Prognosis of Degenerative Cervical Myelopathy Patients: A Preliminary Resting-State fMRI Study.Frontiers in neurology · 2022Article
- Functional network estimation using multigraph learning with application to brain maturation study.Human brain mapping · 2021Article
- Reliability of single-subject neural activation patterns in speech production tasks.Brain and language · 2021Article
- Identification and Therapeutic Outcome Prediction of Cervical Spondylotic Myelopathy Based on the Functional Connectivity From Resting-State Functional MRI Data: A Preliminary Machine Learning Study.Frontiers in neurology · 2021Article
- DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network.Frontiers in neuroinformatics · 2021Article
- ISOMAP and machine learning algorithms for the construction of embedded functional connectivity networks of anatomically separated brain regions from resting state fMRI data of patients with Schizophrenia.AIMS neuroscience · 2021Article
- Multivariate Analysis of Structural and Functional Neuroimaging Can Inform Psychiatric Differential Diagnosis.Diagnostics (Basel, Switzerland) · 2020Article
- Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.Neural plasticity · 2020Review
- Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.NeuroImage · 2019Article
- Evaluating the Prediction of Brain Maturity From Functional Connectivity After Motion Artifact Denoising.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.Computational and mathematical methods in medicine · 2019Article
- Interaction of Developmental Venous Anomalies with Resting-State Functional MRI Measures.AJNR. American journal of neuroradiology · 2018Article
- Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia.Frontiers in neuroinformatics · 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryThere has been a recent upsurge of reports about applications of pattern-recognition techniques from the field of machine learning to functional MR imaging data as a diagnostic tool for systemic brain disease or psychiatric disorders. Entities studied include depression, schizophrenia, attention deficit hyperactivity disorder, and neurodegenerative disorders like Alzheimer dementia. We review these recent studies which-despite the optimism from some articles-predominantly constitute explorative efforts at the proof-of-concept level. There is some evidence that, in particular, support vector machines seem to be promising. However, the field is still far from real clinical application, and much work has to be done regarding data preprocessing, model optimization, and validation. Reporting standards are proposed to facilitate future meta-analyses or systematic reviews.
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.