ArticleNeuroImage2020
Bagging improves reproducibility of functional parcellation of the human brain.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A Cerebellar Partitioning Method Using Spectral Clustering With Optimized Nonlinear Functional Connectivity.Human brain mapping · 2025Article
- Machine learning for identifying caregiving adversities associated with greatest risk for mental health problems in children.Nature. Mental health · 2025Article
- Why experimental variation in neuroimaging should be embraced.Nature communications · 2024Review
- Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Moving beyond processing- and analysis-related variation in resting-state functional brain imaging.Nature human behaviour · 2024Article
- Increasing the representation of minoritized youth for inclusive and reproducible brain-behavior associations.bioRxiv : the preprint server for biology · 2024Article
- Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology.Journal of child psychology and psychiatry, and allied disciplines · 2024Article
- Neural Systems Underlying the Implementation of Working Memory Removal Operations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Subtypes of the psychedelic experience have reproducible and predictable effects on depression and anxiety symptoms.Journal of affective disorders · 2023Article
- Machine Learning-Assisted Carbon Dot Synthesis: Prediction of Emission Color and Wavelength.Journal of chemical information and modeling · 2022Article
- Heterogeneity in caregiving-related early adversity: Creating stable dimensions and subtypes.Development and psychopathology · 2022Article
- Frontal corticostriatal functional connectivity reveals task positive and negative network dysregulation in relation to ADHD, sex, and inhibitory control.Developmental cognitive neuroscience · 2022Article
- Analyzing the Therapeutic Mechanism of Mongolian MedicineEvidence-based complementary and alternative medicine : eCAM · 2022Article
- Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.PLoS computational biology · 2021Article
- Resample aggregating improves the generalizability of connectome predictive modeling.NeuroImage · 2021Article
- Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate.NeuroImage · 2021Article
- The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic.Scientific reports · 2021Article
- Network variants are similar between task and rest states.NeuroImage · 2021Article
- Understanding Vulnerability and Adaptation in Early Brain Development using Network Neuroscience.Trends in neurosciences · 2021Review
- Standardizing human brain parcellations.Scientific data · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Increasing the reproducibility of neuroimaging measurement addresses a central impediment to the advancement of human neuroscience and its clinical applications. Recent efforts demonstrating variance in functional brain organization within and between individuals shows a need for improving reproducibility of functional parcellations without long scan times. We apply bootstrap aggregation, or bagging, to the problem of improving reproducibility in functional parcellation. We use two large datasets to demonstrate that compared to a standard clustering framework, bagging improves the reproducibility and test-retest reliability of both cortical and subcortical functional parcellations across a range of sites, scanners, samples, scan lengths, clustering algorithms, and clustering parameters (e.g., number of clusters, spatial constraints). With as little as 6 min of scan time, bagging creates more reproducible group and individual level parcellations than standard approaches with twice as much data. This suggests that regardless of the specific parcellation strategy employed, bagging may be a key method for improving functional parcellation and bringing functional neuroimaging-based measurement closer to clinical impact.
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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.