ArticleCerebral cortex (New York, N.Y. : 1991)2017
The Lag Structure of Intrinsic Activity is Focally Altered in High Functioning Adults with Autism.
Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
33 citing papers in PubMed.
- Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Lag-structure in fMRI across Three Psychiatric Groups: State-dependency and Clinical-behavioral Correlates.Brain topography · 2025Article
- Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A revisit of the amygdala theory of autism: Twenty years after.Neuropsychologia · 2023Review
- Disrupted multi-scale topological organization of directed functional brain networks in patients with disorders of consciousness.Brain communications · 2023Article
- Propagation Structure of Intrinsic Brain Activity in Migraine without Aura.Brain sciences · 2022Article
- Blood Oxygen Level-Dependent Lag Patterns Differ Between Rest and Task Conditions, but Are Largely Typical in Autism.Brain connectivity · 2022Article
- Directed Brain Connectivity Identifies Widespread Functional Network Abnormalities in Parkinson's Disease.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Revisiting Nonlinear Functional Brain Co-activations: Directed, Dynamic, and Delayed.Frontiers in neuroscience · 2021Article
- Time-delay structure predicts clinical scores for patients with disorders of consciousness using resting-state fMRI.NeuroImage. Clinical · 2021Article
- Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.NeuroImage · 2020Article
- Organization of Propagated Intrinsic Brain Activity in Individual Humans.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- State and trait characteristics of anterior insula time-varying functional connectivity.NeuroImage · 2020Article
- Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2020Article
- Lag Analysis of Fast fMRI Reveals Delayed Information Flow Between the Default Mode and Other Networks in Narcolepsy.Cerebral cortex communications · 2020Article
- On time delay estimation and sampling error in resting-state fMRI.NeuroImage · 2019Article
- Possible links between the lag structure in visual cortex and visual streams using fMRI.Scientific reports · 2019Article
- Connectivity strength, time lag structure and the epilepsy network in resting-state fMRI.NeuroImage. Clinical · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The behaviors that define autism spectrum disorders (ASDs) have been hypothesized to result from disordered communication within brain networks. Several groups have investigated this question using resting-state functional magnetic resonance imaging (RS-fMRI). However, the published findings to date have been inconsistent across laboratories. Prior RS-fMRI studies of ASD have employed conventional analysis techniques based on the assumption that intrinsic brain activity is exactly synchronous over widely separated parts of the brain. By relaxing the assumption of synchronicity and focusing, instead, on lags between time series, we have recently demonstrated highly reproducible patterns of temporally lagged activity in normal human adults. We refer to this analysis technique as resting-state lag analysis (RS-LA). Here, we report RS-LA as well as conventional analyses of RS-fMRI in adults with ASD and demographically matched controls. RS-LA analyses demonstrated significant group differences in rs-fMRI lag structure in frontopolar cortex, occipital cortex, and putamen. Moreover, the degree of abnormality in individuals was highly correlated with behavioral measures relevant to the diagnosis of ASD. In this sample, no significant group differences were observed using conventional RS-fMRI analysis techniques. Our results suggest that altered propagation of intrinsic activity may contribute to abnormal brain function in ASD.
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