ReviewNeuroImage2021
Recent developments in representations of the connectome.
Review in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Dual-axis myelination covariance drives the functional connectivity emergence during infancy.Nature communications · 2026Article
- Individual identifiability following Procrustes alignment of functional gradients: effect of subspace dimensionality.Communications biology · 2026Article
- Edge participation coefficient unveiling the developmental dynamics of neonatal functional connectome.Communications biology · 2025Article
- Bias in data-driven replicability analysis of univariate brain-wide association studies.Scientific reports · 2025Article
- Opaque ontology: neuroimaging classification of ICD-10 diagnostic groups in the UK Biobank.GigaScience · 2025Article
- Time-resolved instantaneous functional loci estimation (TRIFLE): Estimating time-varying allocation of spatially overlapping sources in functional magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.Communications biology · 2024Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.bioRxiv : the preprint server for biology · 2024Article
- Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness.Communications biology · 2024Article
- The Prediction of Brain Activity from Connectivity: Advances and Applications.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024Review
- Opaque Ontology: Neuroimaging Classification of ICD-10 Diagnostic Groups in the UK Biobank.bioRxiv : the preprint server for biology · 2024Article
- Co-representation of Functional Brain Networks Is Shaped by Cortical Myeloarchitecture and Reveals Individual Behavioral Ability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Time-varying functional connectivity as Wishart processes.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Probing neurodynamics of experienced emotions-a Hitchhiker's guide to film fMRI.Social cognitive and affective neuroscience · 2023Review
- Evaluating functional brain organization in individuals and identifying contributions to network overlap.bioRxiv : the preprint server for biology · 2023Article
- Functional and microstructural plasticity following social and interoceptive mental training.eLife · 2023Article
- Population modeling with machine learning can enhance measures of mental health - Open-data replication.Neuroimage. Reports · 2023Article
- Evaluating functional brain organization in individuals and identifying contributions to network overlap.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Editorial: Novel perspectives and improvements in fMRI functional connectivity analysis methods used to investigate brain networks and cognitive mechanisms in humans.Frontiers in neuroscience · 2023Article
- Functional Neurologic Disorders, disorders to be managed by neurologists, or are neurologists wandering in a dangerous field with inadequate resources?Frontiers in psychiatry · 2023Review
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.
Funding
Abstract
Research into the human connectome (i.e., all connections in the human brain) with the use of resting state functional MRI has rapidly increased in popularity in recent years, especially with the growing availability of large-scale neuroimaging datasets. The goal of this review article is to describe innovations in functional connectome representations that have come about in the past 8 years, since the 2013 NeuroImage special issue on 'Mapping the Connectome'. In the period, research has shifted from group-level brain parcellations towards the characterization of the individualized connectome and of relationships between individual connectomic differences and behavioral/clinical variation. Achieving subject-specific accuracy in parcel boundaries while retaining cross-subject correspondence is challenging, and a variety of different approaches are being developed to meet this challenge, including improved alignment, improved noise reduction, and robust group-to-subject mapping approaches. Beyond the interest in the individualized connectome, new representations of the data are being studied to complement the traditional parcellated connectome representation (i.e., pairwise connections between distinct brain regions), such as methods that capture overlapping and smoothly varying patterns of connectivity ('gradients'). These different connectome representations offer complimentary insights into the inherent functional organization of the brain, but challenges for functional connectome research remain. Interpretability will be improved by future research towards gaining insights into the neural mechanisms underlying connectome observations obtained from functional MRI. Validation studies comparing different connectome representations are also needed to build consensus and confidence to proceed with clinical trials that may produce meaningful clinical translation of connectome insights.
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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.