ArticleBrain structure & function2020
CBPtools: a Python package for regional connectivity-based parcellation.
Article in Brain structure & function, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Symptom-specific alterations in subregional intrinsic connectivity of anterior cingulate cortex in major depressive disorder.Translational psychiatry · 2025Article
- Unveiling the Multifaceted Networks of the Left DLPFC for Precision TMS Targeting.bioRxiv : the preprint server for biology · 2025Article
- Disorganized functional architecture of amygdala subregional networks in obsessive-compulsive disorder.Communications biology · 2022Article
- A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort.Human brain mapping · 2022Article
- Uncovering Cortical Units of Processing From Multi-Layered Connectomes.Frontiers in neuroscience · 2022Article
- Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate.NeuroImage · 2021Article
- Joint Multi-modal Parcellation of the Human Striatum: Functions and Clinical Relevance.Neuroscience bulletin · 2020Article
- Perspectives given by structural connectivity bridge the gap between structure and function.Brain structure & function · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Regional connectivity-based parcellation (rCBP) is a widely used procedure for investigating the structural and functional differentiation within a region of interest (ROI) based on its long-range connectivity. No standardized software or guidelines currently exist for applying rCBP, making the method only accessible to those who develop their own tools. As such, there exists a discrepancy between the laboratories applying the procedure each with their own software solutions, making it difficult to compare and interpret the results. Here, we outline an rCBP procedure accompanied by an open source software package called CBPtools. CBPtools is a Python (version 3.5+) package that allows users to run an extensively evaluated rCBP analysis workflow on a given ROI. It currently supports two modalities: resting-state functional connectivity and structural connectivity based on diffusion-weighted imaging, along with support for custom connectivity matrices. Analysis parameters are customizable and the workflow can be scaled to a large number of subjects using a parallel processing environment. Parcellation results with corresponding validity metrics are provided as textual and graphical output. Thus, CBPtools provides a simple plug-and-play, yet customizable way to conduct rCBP analyses. By providing an open-source software we hope to promote reproducible and comparable rCBP analyses and, importantly, make the rCBP procedure readily available. Here, we demonstrate the utility of CBPtools using a voluminous data set on an average compute-cluster infrastructure by performing rCBP on three ROIs prominently featured in parcellation literature.
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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.