Lecture

Neuromodulation: Brain Activity Monitoring and Interference

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In course

NX-436: Advanced methods for human neuromodulation

Neuromodulation is an expending field especially in human translational neuroscience and neurotechnology. This course will introduce to different approaches / technologies for neuromodulation, their underlying mechanisms of action and application in humans ...

Description

This lecture covers the recording of brain activity at focal and network levels, safety monitoring, and state-dependent closed-loop applications. It explores online interference with brain activity, causal understanding, and the challenges of multimodal imaging combined with neuromodulation. The lecture delves into neurosensing, neuromodulation, and the targets and improvements in motor, attention, memory, and decision-making functions. It discusses the use of invasive and non-invasive techniques like EEG, MEG, fMRI, TMS, tES, and TUS. The lecture also examines the effects of brain stimulation on decision-making and memory, as well as the modulation of brain states with prosthetics and robotics.

Instructor

Friedhelm Christoph Hummel

Expertise Stroke recovery Healthy Aging Motor Control Motor Learning Cognitive Control Neuroplasticity Non-invasive Brain Stimulation Structural and functional Neuroimaging Connectivity Postal Address Campus Biotech Defitech Chair of Clinical Neuroengineering Brain Mind Institute, SV Neuro X Institute, Swiss Federal Institute of Technology EPFL Campus Biotech Rm H4.3.132.084, 9, Chemin des Mines 1202 Geneva Teaching & PhD PhD Students Maria Ploumitsakou, Simona Losacco, Fabienne Windel, Andrea Protani, Sta

Official source

Related concepts (19)

Intraoperative neurophysiological monitoring

Intraoperative neurophysiological monitoring (IONM) or intraoperative neuromonitoring is the use of electrophysiological methods such as electroencephalography (EEG), electromyography (EMG), and evoked potentials to monitor the functional integrity of certain neural structures (e.g., nerves, spinal cord and parts of the brain) during surgery. The purpose of IONM is to reduce the risk to the patient of iatrogenic damage to the nervous system, and/or to provide functional guidance to the surgeon and anesthesiologist.

Electroencephalography

Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive, with the EEG electrodes placed along the scalp (commonly called "scalp EEG") using the International 10–20 system, or variations of it. Electrocorticography, involving surgical placement of electrodes, is sometimes called "intracranial EEG".

Neurofeedback

Neurofeedback is a type of biofeedback that focuses on the neuronal activity of the brain. The training method is based on reward learning (operant conditioning) where a real-time feedback provided to the trainee is supposed to reinforce desired brain activity or inhibit unfavorable activity patterns. Different mental states (for example, concentration, relaxation, creativity, distractibility, rumination, etc.) are associated with different brain activities or brain states.

Electrocorticography

Electrocorticography (ECoG), a type of intracranial electroencephalography (iEEG), is a type of electrophysiological monitoring that uses electrodes placed directly on the exposed surface of the brain to record electrical activity from the cerebral cortex. In contrast, conventional electroencephalography (EEG) electrodes monitor this activity from outside the skull. ECoG may be performed either in the operating room during surgery (intraoperative ECoG) or outside of surgery (extraoperative ECoG).

Neural engineering

Neural engineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs (Hetling, 2008). The field of neural engineering draws on the fields of computational neuroscience, experimental neuroscience, neurology, electrical engineering and signal processing of living neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology.

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