ArticleImaging neuroscience (Cambridge, Mass.)2024
XCP-D: A robust pipeline for the post-processing of fMRI data.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed.
- A multi-scale, circuit-to-gene signature of approach-bias modification in internet gaming disorder.Journal of behavioral addictions · 2026Trial
- Nucleus Accumbens and Ventral Tegmental Area Functional Connectivity as a Marker of Reward Sensitivity in Infancy.Developmental science · 2026Article
- Association of psychosocial stress with altered functional connectivity of large-scale brain networks in aging adults.Cognitive, affective & behavioral neuroscience · 2026Article
- Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood.PLoS biology · 2026Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.Human brain mapping · 2026Article
- Autonomic and limbic system functioning, early life stress, and depressive symptoms in adolescence.Neurobiology of stress · 2026Article
- A cortical gradient in area 55b links language and somato-cognitive action networks.Research square · 2026Article
- Changes in resting-state functional connectivity between large-scale brain networks after an intensive arts intervention for adolescents with depression.Translational psychiatry · 2026Article
- Dopamine-related alterations in functional brain network dynamic reconfiguration in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- Benchmarking fMRI Denoising Pipelines.Human brain mapping · 2026Article
- Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces.Research square · 2026Article
- Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence.bioRxiv : the preprint server for biology · 2026Article
- ComBat Harmonization With and Without Empirical Bayes Estimation for Resting-State Functional Connectivity in Pediatric Mild Traumatic Brain Injury: a CARE4Kids Study.Research square · 2026Article
- Linking human brain functional connectivity to underlying neurotransmission.bioRxiv : the preprint server for biology · 2026Article
- Resting-State and Task Functional Magnetic Resonance Imaging Network Topology Metrics With no Threshold Selection to Predict Cognition.Human brain mapping · 2026Article
- Predicting Potential Treatment Targets for Fatigue in Chronic Fatigue Syndrome Using Thalamic Seeding.Brain and behavior · 2026Article
- Pregistered movie-fMRI analyses reveal altered visual feature encoding in autism in pSTS.bioRxiv : the preprint server for biology · 2026Article
- Multimodal evidence for hippocampal engagement and modulation by functional connectivity-guided parietal TMS.Nature communications · 2026Article
- Advancing whole-brain BOLD functional MRI in humans at 10.5 T with motion-robust 3D echo-planar imaging, parallel transmission, and high-density radiofrequency receive coils.Magnetic resonance in medicine · 2026Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional neuroimaging is an essential tool for neuroscience research. Pre-processing pipelines produce standardized, minimally pre-processed data to support a range of potential analyses. However, post-processing is not similarly standardized. While several options for post-processing exist, they may not support output from different pre-processing pipelines, may have limited documentation, and may not follow generally accepted data organization standards (e.g., Brain Imaging Data Structure (BIDS)). In response, we present XCP-D: a collaborative effort between PennLINC at the University of Pennsylvania and the DCAN lab at the University of Minnesota. XCP-D uses an open development model on GitHub and incorporates continuous integration testing; it is distributed as a Docker container or Apptainer image. XCP-D generates denoised BOLD images and functional derivatives from resting-state data in either NIfTI or CIFTI files following pre-processing with fMRIPrep, HCP, or ABCD-BIDS pipelines. Even prior to its official release, XCP-D has been downloaded >5,000 times from DockerHub. Together, XCP-D facilitates robust, scalable, and reproducible post-processing of fMRI data.
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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.