ArticleCommunications biology2022
A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain.
Article in Communications biology, 2022. 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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10 citing papers in PubMed, 22 citations in OpenAlex.
- Peak Alpha Frequency Is Not Significantly Altered by Five Days of Experimental Pain and Repetitive Transcranial Stimulation of the Left Dorsolateral Prefrontal Cortex.The European journal of neuroscience · 2025Trial
- Sex-Specific White Matter Abnormalities Across the Dynamic Pain Connectome in Neuropathic Pain: A Fixel-Based Analysis Study.Human brain mapping · 2025Article
- Alpha and Theta Oscillations Associated With Behavioral Phenotypes of Pain-Attention Interaction.Brain and behavior · 2025Article
- Robustness of brain state identification in synthetic phase-coupled neurodynamics using Hidden Markov Models.Frontiers in systems neuroscience · 2025Article
- Field recordings of transcranial magnetic stimulation in human brain postmortem models.Pain reports · 2024Article
- The cortical neurophysiological signature of amyotrophic lateral sclerosis.Brain communications · 2024Article
- Fractal Similarity of Pain Brain Networks.Advances in neurobiology · 2024Article
- Central neuropathic pain.Nature reviews. Disease primers · 2023Review
- Preoperative resting-state microstate as a marker for chronic pain after breast cancer surgery.Brain and behavior · 2023Article
- Canonical Hidden Markov Model Networks for studying M/EEG.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
Neuronal populations in the brain are engaged in a temporally coordinated manner at rest. Here we show that spontaneous transitions between large-scale resting-state networks are altered in chronic neuropathic pain. We applied an approach based on the Hidden Markov Model to magnetoencephalography data to describe how the brain moves from one activity state to another. This identified 12 fast transient (~80 ms) brain states including the sensorimotor, ascending nociceptive pathway, salience, visual, and default mode networks. Compared to healthy controls, we found that people with neuropathic pain exhibited abnormal alpha power in the right ascending nociceptive pathway state, but higher power and coherence in the sensorimotor network state in the beta band, and shorter time intervals between visits of the sensorimotor network, indicating more active time in this state. Conversely, the neuropathic pain group showed lower coherence and spent less time in the frontal attentional state. Therefore, this study reveals a temporal imbalance and dysregulation of spectral frequency-specific brain microstates in patients with neuropathic pain. These findings can potentially impact the development of a mechanism-based therapeutic approach by identifying brain targets to stimulate using neuromodulation to modify abnormal activity and to restore effective neuronal synchrony between brain states.
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