ArticleNeuroImage. Clinical2018
Enhanced temporal variability of amygdala-frontal functional connectivity in patients with schizophrenia.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Brain Structure Measurements Predict Individualized Treatment Outcome of 12-Week Antipsychotic Monotherapies in First-episode Schizophrenia.Schizophrenia bulletin · 2023Trial
- Translational pathways of oxytocin therapy in schizophrenia: bridging negative symptom domains and neural mechanisms.Translational psychiatry · 2026Review
- Dynamic frontoparietal flexibility and cognitive dysfunction in schizophrenia: disentangling the roles of symptom burden and childhood trauma.Psychological medicine · 2026Article
- Identifying affective state via clustering of temporal variability in limbic activity and mediating role of negative emotion.Molecular psychiatry · 2026Article
- Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.Schizophrenia bulletin · 2025Review
- Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder.Brain sciences · 2024Article
- Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease.Human brain mapping · 2024Article
- Functional connectivity between the amygdala and prefrontal cortex underlies processing of emotion ambiguity.Translational psychiatry · 2023Article
- Abnormal dynamic functional connectivity after sleep deprivation from temporal variability perspective.Human brain mapping · 2022Article
- Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia.Network neuroscience (Cambridge, Mass.) · 2022Article
- Divergent time-varying connectivity of thalamic sub-regions characterizes clinical phenotypes and cognitive status in multiple sclerosis.Molecular psychiatry · 2022Article
- Test-retest reliability of time-varying patterns of brain activity across single band and multiband resting-state functional magnetic resonance imaging in healthy older adults.Frontiers in human neuroscience · 2022Article
- Tools of the trade: estimating time-varying connectivity patterns from fMRI data.Social cognitive and affective neuroscience · 2021Review
- Comparative Study on the Functional Connectivity of Amygdala and Hippocampal Neural Circuits in Patients With First-Episode Schizophrenia and Other High-Risk Populations.Frontiers in psychiatry · 2021Article
- Dynamic Functional Connectivity Reveals Abnormal Variability in the Amygdala Subregions of Children With Attention-Deficit/Hyperactivity Disorder.Frontiers in neuroscience · 2021Article
- Dynamic functional network reconfiguration underlying the pathophysiology of schizophrenia and autism spectrum disorder.Human brain mapping · 2021Article
- Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis.Frontiers in neuroscience · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The "dysconnectivity hypothesis" was proposed 20 years ago. It characterized schizophrenia as a disorder with dysfunctional connectivity across a large range of distributed brain areas. Resting-state functional magnetic resonance imaging (rsfMRI) data have supported this theory. Previous studies revealed that the amygdala might be responsible for the emotion regulation-related symptoms of schizophrenia. However, conventional methods oversimplified brain activities by assuming that it remained static throughout the entire scan duration, which may explain why inconsistent results have been reported for the same brain region. Methods: An emerging technique is sliding time window analysis, which is used to describe functional connectivity based on the temporal variability of regions of interest (e.g., amygdala) in patients with schizophrenia. Conventional analysis of the static functional connectivity between the amygdala and whole brain was also conducted. Results: Static functional connectivity between the amygdala and orbitofrontal region was impaired in patients with schizophrenia. The variability of connectivity between the amygdala and medial prefrontal cortex was enhanced (i.e., greater dynamics) in patients with schizophrenia. A negative relationship was found between the variability of connectivity and information processing efficiency. A positive correlation was found between the variability of connectivity and symptom severity. Conclusion: The findings suggest that schizophrenia was related to abnormal patterns of fluctuating communication among brain areas that are involved in emotion regulations. Unveiling the temporal properties of functional connectivity could disentangle the inconsistent results of previous functional connectivity studies.
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