ArticleNeuroImage2022
Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Ketamine's impact on rumination-related brain dynamics: insights from a randomized controlled fMRI trial.Translational psychiatry · 2026Trial
- Distinct Brain Drivers and Shared Cerebello-Cortical Input in ADCY5 and SGCE Hyperkinetic Movements.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- A deformable attractor manifold organizes human resting-state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Fidelity of Spatiotemporal Patterns of Brain Activity Across Sampling Rate, Scan Duration, and Frequency Content.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal Network Dynamics Reveal Alzheimer's Disease Progression.bioRxiv : the preprint server for biology · 2025Article
- Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences.Nature neuroscience · 2025Article
- st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks.Human brain mapping · 2025Article
- Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders.Schizophrenia (Heidelberg, Germany) · 2025Article
- Time-Varying Spatial Propagation of Brain Networks in fMRI Data.Human brain mapping · 2025Article
- Energy Associated With Dynamic Network Changes in Patients With Multiple Sclerosis and Cognitive Impairment.Neurology · 2024Article
- Human brain state dynamics are highly reproducible and associated with neural and behavioral features.PLoS biology · 2024Article
- 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia.Human brain mapping · 2024Article
- Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk.Biological psychiatry · 2024Article
- Human brain state dynamics reflect individual neuro-phenotypes.bioRxiv : the preprint server for biology · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls.Nature. Mental health · 2024Article
- A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry.NeuroImage. Clinical · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.Network neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Resting-state functional magnetic resonance imaging is currently the mainstay of functional neuroimaging and has allowed researchers to identify intrinsic connectivity networks (aka functional networks) at different spatial scales. However, little is known about the temporal profiles of these networks and whether it is best to model them as continuous phenomena in both space and time or, rather, as a set of temporally discrete events. Both categories have been supported by series of studies with promising findings. However, a critical question is whether focusing only on time points presumed to contain isolated neural events and disregarding the rest of the data is missing important information, potentially leading to misleading conclusions. In this work, we argue that brain networks identified within the spontaneous blood oxygenation level-dependent (BOLD) signal are not limited to temporally sparse burst moments and that these event present time points (EPTs) contain valuable but incomplete information about the underlying functional patterns. We focus on the default mode and show evidence that is consistent with its continuous presence in the BOLD signal, including during the event absent time points (EATs), i.e., time points that exhibit minimum activity and are the least likely to contain an event. Moreover, our findings suggest that EPTs may not contain all the available information about their corresponding networks. We observe distinct default mode connectivity patterns obtained from all time points (AllTPs), EPTs, and EATs. We show evidence of robust relationships with schizophrenia symptoms that are both common and unique to each of the sets of time points (AllTPs, EPTs, EATs), likely related to transient patterns of connectivity. Together, these findings indicate the importance of leveraging the full temporal data in functional studies, including those using event-detection approaches.
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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.