OIERPOffice of Institutional Effectiveness, Research, and Planning
Dr. Leon Iasemidis
Departments: Biomedical Engineering, Center for Biomedical Engineering and Rehabilitation Sciences
Office: BMEB 203
Address: 818 Nelson Ave
Ruston, LA 71272
Areas of Responsibility: Director of CBERS, Professor and Rhodes Eminent Chair of Biomedical Engineering; The Brain Dynamics Laboratory and The EEG Laboratory; Location: Biomedical Engineering Building
Biomedical Signal Processing; Biomedical Imaging and Image Processing; Neural and Rehabilitation Engineering; Bioinformatics and Computational Biology, Systems Biology, and Modeling Methodologies; Therapeutic and Diagnostic Systems, Devices and Technologies, and Clinical Engineering; Biological and Medical Control Systems; Information Theory, Detection, Estimation and Identification
Biosignal Processing and Dynamics from Humans and Animals; Biosystems Modeling and Control; Neuromodulation; Brain Dynamics; Brain and Heart (MEG and EEG, and ECG); Modeling of Epilepsy; Seizures Prediction and Control; Epileptogenic Focus Localization; Evaluation and Monitoring of Antiepileptic Treatment and Therapy; Seizure Control via Implanted deep brain stimulators (DBS); Differential Diagnoses (seizures vs. psychogenic non-epileptic seizures; epilepsy vs. metabolic encephalopathy); Mechanisms of Status Epilepticus (SE); Mechanisms of SUDEP (Sudden Unexplained Death in Epilepsy); Identification and Classification of Sleep Disorders; Depth of Anaesthesia studies
The EEG Laboratory
A facility for recording and long-term monitoring of spontaneous (awake, asleep) or evoked electroencephalographic (EEG) activity from the surface or interior of the human and animal brain. The Lab is equipped with three computerized EEG recording systems and has the capability to record from up to 128 electrode sites.
The Brain Dynamics Laboratory
A teaching and research computational facility with multiple computer stations, large (Terabyte) associated data storage units, fast access to supercomputing networks, professional software for data analysis. We develop novel in-house algorithms to investigate the spatiotemporal dynamics of electrical (EEG) and magnetic (MEG) signals from the brain of patients and animals, and computer simulation models, on the way into and out of crises. Epilepsy and progressive brain post-traumatic illnesses are among the dynamical disorders we concentrate upon. Conventional signal processing, image processing and data mining techniques, as well as innovative measures of stability, complexity and information flow in networks of nonlinear systems, are utilized for long-term prediction of epileptic seizures. Adaptive feedback control has been implemented for their efficient and effective real-time control via neuromodulation. The research at the Brain Dynamics Lab also assists with the diagnosis, differential diagnosis and evaluation of the treatment of those and other brain dynamical disorders.
Over the years, our research has been supported by federal and state funding agencies (NIH, NSF, DoD, VA, DARPA, the Science Foundation of Arizona), private foundations (American Epilepsy Research Foundation, the Whitaker Foundation) and other organizations (Cyberonics Inc.).