Effects of Phase-dependent Stimulation on Hippocampal Oscillations: A Computational Modeling Approach

• Main Authors: Lee, Hsin-Pei, Sattar, Heba, Anderson, William S, Salimpour, Yousef
• Format: Conference Proceeding
• Language: English
• Subjects: Brain modeling; closed-loop neuromodulation; Computational modeling; Neural activity; Neural engineering; Neurological diseases; Neuron model; phase-amplitude coupling; phase-dependent stimulation; Rodents; Time-frequency analysis
• ISSN: 1948-3554
• DOI: 10.1109/NER52421.2023.10123840

The important role of phase-amplitude coupling (PAC) between brain oscillations of different rhythms may imply possibly promising effects for phase-dependent neuromodulation techniques to treat neurological disorders. In particular, the theta-gamma PAC correlates with significant and complex cognitive functions. Computational models serve as convenient tools to overcome in vivo and in vitro limitations. Using a hippocampal computational model in the NEURON and Python environments, we delivered carefully timed current injections to the cells in the network at the harmonics of the network's peak theta band frequency. Each applied stimulus was categorized by its corresponding phase angle, and the stimulation effects on the network activity were analyzed. By analyzing the local field potential and bandpass power amplitudes, we demonstrated enhancement and depression of the theta band depending on the phase of the stimulus. Applying stimulation before the peak phase consistently amplified the the theta band while stimulating immediately after the peak phase consistently suppressed network activity. Further study is required to understand the continuous effects of phase-locked stimulation with a closed-loop stimulator and their implications for human and animal models of rhythmic neural activity. These results demonstrate the capacity of phase-dependent stimulation to modulate neuronal oscillations, which could allow for applications in the treatment of neurological disorders associated with abnormal oscillations, such as Alzheimer's disease. Clinical Relevance- Analyzing the origins of neuronal oscillations and developing a brain stimulation technique for modulating the level of oscillations can facilitate the development of novel treatment methods such as phase-dependent neuromodulation systems for neurological disorders associated with abnormal oscillations.