Bilateral preictal signature of phase-amplitude coupling in canine epilepsy

• Published in: Epilepsy research Vol. 139; pp. 123 - 128
• Main Authors: Gagliano, Laura, Bou Assi, Elie, Nguyen, Dang K., Rihana, Sandy, Sawan, Mohamad
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2018
• Subjects: Algorithms; Animals; Brain - physiopathology; Cross frequency coupling; Dog Diseases - diagnosis; Dog Diseases - physiopathology; Dogs; Electrocorticography; Epilepsy; Epilepsy, Temporal Lobe - diagnosis; Epilepsy, Temporal Lobe - physiopathology; Epilepsy, Temporal Lobe - veterinary; Feature extraction; Phase amplitude coupling; Preictal state; Seizure forecasting; Seizures - diagnosis; Seizures - physiopathology; Seizures - veterinary; Signal Processing, Computer-Assisted; Cross frequency coupling; Phase amplitude coupling; Feature extraction; Seizure forecasting; Epilepsy; Preictal state
• ISSN: 0920-1211; 1872-6844
• DOI: 10.1016/j.eplepsyres.2017.11.009

•Statistically significant difference in PAC between preictal and interictal periods.•PAC change is strongest for coupling between delta phase and high-gamma amplitude.•Bilateral presence of PAC change infers that preictal phase is not restricted to SOZ.•Cross-Frequency Phase-Amplitude Coupling is a precursor of epileptic seizures. Seizure forecasting would improve the quality of life of patients with refractory epilepsy. Although early findings were optimistic, no single feature has been found capable of individually characterizing brain dynamics during transition to seizure. Cross-frequency phase amplitude coupling has been recently proposed as a precursor of seizure activity. This work evaluates the existence of a statistically significant difference in mean phase amplitude coupling distribution between the preictal and interictal states of seizures in dogs with bilaterally implanted intracranial electrodes. Results show a statistically significant change (p<0.05) of phase amplitude coupling during the preictal phase. This change is correlated with the position of implanted electrodes and is more significant within high-gamma frequency bands. These findings highlight the potential benefit of bilateral iEEG analysis and the feasibility of seizure forecasting based on slow modulation of high frequency amplitude.