ArticleJournal of neural engineering2020
Granger causality analysis of rat cortical functional connectivity in pain.
Article in Journal of neural engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Reciprocal brain-behavior associations in gambling disorder revealed by theta cordance and directional predictive modeling.Frontiers in behavioral neuroscience · 2026Article
- Neuroplasticity in chronic pain: insights into diagnosis and treatment.The Korean journal of pain · 2025Article
- Inferring directed spectral information flow between mixed-frequency time series.Research square · 2025Article
- Disruptions in cortical circuit connectivity distinguish widespread hyperalgesia from localized pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- ESTIMATING DIRECTED SPECTRAL INFORMATION FLOW BETWEEN MULTI-RESOLUTION TIME SERIES.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2024Article
- In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?Frontiers in neuroscience · 2023Review
- Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study.Frontiers in systems neuroscience · 2022Article
- Source localized infraslow neurofeedback training in people with chronic painful knee osteoarthritis: A randomized, double-blind, sham-controlled feasibility clinical trial.Frontiers in neuroscience · 2022Article
- Predictive coding models for pain perception.Journal of computational neuroscience · 2021Article
- Detecting acute pain signals from human EEG.Journal of neuroscience methods · 2021Article
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5 authors.
Funding
Abstract
objectiveThe primary somatosensory cortex (S1) and the anterior cingulate cortex (ACC) are two of the most important cortical brain regions encoding the sensory-discriminative and affective-emotional aspects of pain, respectively. However, the functional connectivity of these two areas during pain processing remains unclear. Developing methods to dissect the functional connectivity and directed information flow between cortical pain circuits can reveal insight into neural mechanisms of pain perception. APPROACH: We recorded multichannel local field potentials (LFPs) from the S1 and ACC in freely behaving rats under various conditions of pain stimulus (thermal versus mechanical) and pain state (naive versus chronic pain). We applied Granger causality (GC) analysis to the LFP recordings and inferred frequency-dependent GC statistics between the S1 and ACC. MAIN
resultsWe found an increased information flow during noxious pain stimulus presentation in both S1[Formula: see text]ACC and ACC[Formula: see text]S1 directions, especially at theta and gamma frequency bands. Similar results were found for thermal and mechanical pain stimuli. The chronic pain state shares common observations, except for further elevated GC measures especially in the gamma band. Furthermore, time-varying GC analysis revealed a negative correlation between the direction-specific and frequency-dependent GC and animal's paw withdrawal latency. In addition, we used computer simulations to investigate the impact of model mismatch, noise, missing variables, and common input on the conditional GC estimate. We also compared the GC results with the transfer entropy (TE) estimates. SIGNIFICANCE: Our results reveal functional connectivity and directed information flow between the S1 and ACC during various pain conditions. The dynamic GC analysis support the hypothesis of cortico-cortical information loop in pain perception, consistent with the computational predictive coding paradigm.
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