ArticleJournal of neuroscience methods2017
Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study.
Article in Journal of neuroscience methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.
- Functional parcellation of the default mode network: a large-scale meta-analysis.Scientific reports · 2020Pooled it
- Cellular and molecular associations with intrinsic brain organization.Nature communications · 2025Article
- Cellular and molecular associations with intrinsic brain organization.bioRxiv : the preprint server for biology · 2025Article
- Interpretable Disorder Signatures: Probing Neural Latent Spaces for Schizophrenia, Alzheimer's, and Autism Stratification.Brain sciences · 2025Article
- Prediction of alcohol intake patterns with olfactory and gustatory brain connectivity networks.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal.Brain sciences · 2025Article
- Addressing Inconsistency in Functional Neuroimaging: A Replicable Data-Driven Multi-Scale Functional Atlas for Canonical Brain Networks.bioRxiv : the preprint server for biology · 2024Article
- Dynamic Functional Connectivity Correlates of Trait Mindfulness in Early Adolescence.Biological psychiatry global open science · 2024Article
- Dynamic functional connectivity correlates of trait mindfulness in early adolescence.bioRxiv : the preprint server for biology · 2024Article
- Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics.Nature communications · 2024Article
- Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment.Sensors (Basel, Switzerland) · 2024Article
- Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales.Brain connectivity · 2022Article
- Interpreting models interpreting brain dynamics.Scientific reports · 2022Article
- Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data.Network neuroscience (Cambridge, Mass.) · 2022Article
- Altered resting-state functional connectivity of the dorsal anterior cingulate cortex with intrinsic brain networks in male problematic smartphone users.Frontiers in psychiatry · 2022Article
- Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder.Brain connectivity · 2021Article
- Unraveling reproducible dynamic states of individual brain functional parcellation.Network neuroscience (Cambridge, Mass.) · 2021Article
- Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity.Frontiers in neural circuits · 2021Article
- Challenges and future directions for representations of functional brain organization.Nature neuroscience · 2020Review
- Connectivity dynamics from wakefulness to sleep.NeuroImage · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundA key challenge in building a brain graph using fMRI data is how to define the nodes. Spatial brain components estimated by independent components analysis (ICA) and regions of interest (ROIs) determined by brain atlas are two popular methods to define nodes in brain graphs. It is difficult to evaluate which method is better in real fMRI data. NEW
methodHere we perform a simulation study and evaluate the accuracies of a few graph metrics in graphs with nodes of ICA components, ROIs, or modified ROIs in four simulation scenarios.
resultsGraph measures with ICA nodes are more accurate than graphs with ROI nodes in all cases. Graph measures with modified ROI nodes are modulated by artifacts. The correlations of graph metrics across subjects between graphs with ICA nodes and ground truth are higher than the correlations between graphs with ROI nodes and ground truth in scenarios with large overlapped spatial sources. Moreover, moving the location of ROIs would largely decrease the correlations in all scenarios. COMPARISON WITH EXISTING METHOD (S): Evaluating graphs with different nodes is promising in simulated data rather than real data because different scenarios can be simulated and measures of different graphs can be compared with a known ground truth.
conclusionSince ROIs defined using brain atlas may not correspond well to real functional boundaries, overall findings of this work suggest that it is more appropriate to define nodes using data-driven ICA than ROI approaches in real 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.