ReviewCurrent opinion in neurology2021
Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples.
Review in Current opinion in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aberrant cortical-subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses.Frontiers in neuroimaging · 2025Pooled it
- Neuroradiological features across major psychiatric disorders and behavioral variant of Alzheimer's disease: a concise multimodal synthesis.Psychoradiology · 2026Review
- Parallel multilink group joint ICA (pmg-jICA): Fusion of 3D structural and 4D functional data across multiple resting fMRI networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Nanomedicine-Driven Modulation of the Gut-Brain Axis: Innovative Approaches to Managing Chronic Inflammation in Alzheimer's and Parkinson's Disease.International journal of molecular sciences · 2025Review
- Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.Journal of clinical medicine · 2025Review
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- Resting-state spontaneous brain activity as a neural marker for suicidal ideation in adolescents with non-suicidal self-injury: a voxel-wise and machine learning study.Frontiers in psychiatry · 2025Article
- Unresponsiveness induced by sevoflurane and propofol is associated with reduced basal forebrain cholinergic nuclei functional connectivity in humans,Neuroimage. Reports · 2024Article
- Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.BMC neurology · 2024Review
- Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging data.Journal of neuroscience methods · 2024Article
- A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants.Biological psychiatry · 2024Article
- The role of perfusion, grey matter volume and behavioural phenotypes in the data-driven classification of cognitive syndromes.Alzheimer's research & therapy · 2024Article
- Performance reserves in brain-imaging-based phenotype prediction.Cell reports · 2024Article
- Network models to enhance the translational impact of cross-species studies.Nature reviews. Neuroscience · 2023Review
- Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Revolutionizing stress-related disorder regulation through neuroinformatics and data analysis: An editorial.AIMS neuroscience · 2023Article
- How Machine Learning is Powering Neuroimaging to Improve Brain Health.Neuroinformatics · 2022Review
- A training program for researchers in population neuroimaging: Early experiences.Frontiers in neuroimaging · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purpose of reviewThe 'holy grail' of clinical applications of neuroimaging to neurological and psychiatric disorders via personalized biomarkers has remained mostly elusive, despite considerable effort. However, there are many reasons to continue to be hopeful, as the field has made remarkable advances over the past few years, fueled by a variety of converging technical and data developments. RECENT
findingsWe discuss a number of advances that are accelerating the push for neuroimaging biomarkers including the advent of the 'neuroscience big data' era, biomarker data competitions, the development of more sophisticated algorithms including 'guided' data-driven approaches that facilitate automation of network-based analyses, dynamic connectivity, and deep learning. Another key advance includes multimodal data fusion approaches which can provide convergent and complementary evidence pointing to possible mechanisms as well as increase predictive accuracy. SUMMARY: The search for clinically relevant neuroimaging biomarkers for neurological and psychiatric disorders is rapidly accelerating. Here, we highlight some of these aspects, provide recent examples from studies in our group, and link to other ongoing work in the field. It is critical that access and use of these advanced approaches becomes mainstream, this will help propel the community forward and facilitate the production of robust and replicable neuroimaging biomarkers.
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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.