Abstract: A method of predicting a seizure occurrence or a surgical outcome includes monitoring a patient using an electroencephalography (EEG) system, including recording EEG data that indicates a seizure, and extracting a peri-ictal segment of the EEG data that includes a pre-ictal period immediately preceding the seizure, or a post-ictal period immediately following the seizure. The method also includes processing the peri-ictal segment, including generating an electrode-wise power spectral density (PSD) feature across a frequency band defined by at least one of a delta frequency range, a theta frequency range, an alpha frequency range, a beta frequency range, and a gamma frequency range. The method also includes inputting the PSD feature into a model, wherein the model predicts a seizure occurrence or a surgical outcome of the patient.

Abstract: Disclosed are methods for detecting pain in a subject, such as a mammal (e.g., a human), using brain activity, e.g., as determined by electroencephalography. The methods are useful for treating or reducing the likelihood of pain in a subject by determining power amplitude from the power spectral density of the waveforms and, e.g., administering a therapeutic agent to the subject. The methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases power amplitude using a non-human animal subject. The methods also feature the stimulation of thalamic reticular nucleus of a subject to treat or reduce pain.

Abstract: Disclosed are methods for detecting neuronal oscillation in the spinal cord of a subject. The methods can be utilized to determine that the subject has a disease or disorder of the spinal cord. The methods are useful for treating or reducing the likelihood of pain in a subject by detecting neuronal oscillation in the spinal cord and, e.g., administering a therapeutic agent to the subject. The electrode (LFP) methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases neuronal oscillation in the spinal cord using a non-human animal subject.

Abstract: Disclosed are methods for detecting neuronal oscillation in the spinal cord of a subject. The methods can be utilized to determine that the subject has a disease or disorder of the spinal cord. The methods are useful for treating or reducing the likelihood of pain in a subject by detecting neuronal oscillation in the spinal cord and, e.g., administering a therapeutic agent to the subject. The electrode (LFP) methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases neuronal oscillation in the spinal cord using a non-human animal subject.

Abstract: Disclosed are methods for detecting pain in a subject, such as a mammal (e.g., a human), using brain activity, e.g., as determined by electroencephalography. The methods are useful for treating or reducing the likelihood of pain in a subject by determining power amplitude from the power spectral density of the waveforms and, e.g., administering a therapeutic agent to the subject. The methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases power amplitude using a non-human animal subject. The methods also feature the stimulation of thalamic reticular nucleus of a subject to treat or reduce pain.