ReviewNeuroImage. Clinical2013
Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack.
Review in NeuroImage. Clinical, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 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
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group.Molecular psychiatry · 2020Pooled it
- Patterns of gray matter atrophy in atypical parkinsonism syndromes: a VBM meta-analysis.Brain and behavior · 2015Pooled it
- Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.Computers in biology and medicine · 2019Trial
- Bridging neuro-biomarkers and MR imaging: The synergistic role of glial fibrillary acidic protein in early CNS disease diagnosis.IBRO neuroscience reports · 2025Review
- Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals.Bipolar disorders · 2022Article
- Biclustering fMRI time series: a comparative study.BMC bioinformatics · 2022Article
- Mild cognitive impairment in patients with Parkinson's disease: An updated mini-review and future outlook.Frontiers in aging neuroscience · 2022Review
- A Complex Combination Therapy for a Complex Disease-Neuroimaging Evidence for the Effect of Music Therapy in Schizophrenia.Frontiers in psychiatry · 2022Review
- Neuron-specific deletion of presenilin enhancer2 causes progressive astrogliosis and age-related neurodegeneration in the cortex independent of the Notch signaling.CNS neuroscience & therapeutics · 2021Article
- Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data.Frontiers in computational neuroscience · 2021Article
- Abnormal Gray Matter Volume and Functional Connectivity in Parkinson's Disease with Rapid Eye Movement Sleep Behavior Disorder.Parkinson's disease · 2021Article
- Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer's Disease: A Review.Entropy (Basel, Switzerland) · 2020Review
- Neuroimaging in Schizophrenia.Neuroimaging clinics of North America · 2020Review
- An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measuresJournal of psychiatry & neuroscience : JPN · 2019Article
- Grant Report on PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis.Journal of psychiatry and brain science · 2019Article
- Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer's disease.Scientific reports · 2018Article
- Article
- Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia.Frontiers in neuroinformatics · 2018Article
- Higher serum cholesterol is associated with intensified age-related neural network decoupling and cognitive decline in early- to mid-life.Human brain mapping · 2017Article
- Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample.Journal of neural transmission (Vienna, Austria : 1996) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
Neuropsychiatric disorders such as schizophrenia, bipolar disorder and Alzheimer's disease are major public health problems. However, despite decades of research, we currently have no validated prognostic or diagnostic tests that can be applied at an individual patient level. Many neuropsychiatric diseases are due to a combination of alterations that occur in a human brain rather than the result of localized lesions. While there is hope that newer imaging technologies such as functional and anatomic connectivity MRI or molecular imaging may offer breakthroughs, the single biomarkers that are discovered using these datasets are limited by their inability to capture the heterogeneity and complexity of most multifactorial brain disorders. Recently, complex biomarkers have been explored to address this limitation using neuroimaging data. In this manuscript we consider the nature of complex biomarkers being investigated in the recent literature and present techniques to find such biomarkers that have been developed in related areas of data mining, statistics, machine learning and bioinformatics.
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.