Leonardo G. Cohen, M.D.
Human Cortical Physiology and Neurorehabilitation Section
Building 10, Room 7D54
9000 Rockville Pike
Bethesda, MD 20892
The goal of our activity is to understand the mechanisms underlying plastic changes in the human central nervous system and to develop novel therapeutic approaches for recovery of function based on these advances. Our work has focused on the human motor system to understand skill acquisition, memory formation, consolidation and reconsolidating. We study cortical reorganization and brain network dynamics underlying behavior in patients with CNS lesions in particular stroke and traumatic brain injury. In healthy volunteers, we study cortical plasticity associated with motor skill learning and memory formation.
We utilize different techniques in the context of exploratory and well defined hypothesis-driven investigations including transcranial magnetic (TMS) and DC (tDCS) stimulation, fMRI, TMS in combination with fMRI, MR spectroscopy, diffusion tensor imaging (DTI), PET scanning and magnetoencephalography (MEG). We are interested in the development of these techniques to help us to understand mechanisms of human plasticity and to modulate human brain processing. Our research protocols in healthy volunteers are geared to identify mechanisms of human neuroplasticity and to develop interventional approaches to enhance them when they play a beneficial role and down-regulate them when they are maladaptive. Advances in this understanding in healthy volunteers are subsequently applied to patients with neurological conditions like stroke in attempts to enhance neurorehabilitative processes. More recently, we started to work on decoding of brain activity spatiotemporal patterns underlying memory of errors, working memory and different forms of consolidation of skill learning. Present activity in the lab includes characterization of replay events in awake humans related to different stages of motor learning.
Our future goals are to improve our understanding of mechanisms underlying plasticity of function in humans. On the basis of these insights, we are engaged in translational efforts to develop rational rehabilitative interventions to improve motor disability after stroke in particular using behavioral as well as open- and closed-loop brain stimulation techniques. In patients with severe hand paralysis, we use an MEG-based brain computer interface to control grasping motions of an orthosis attached to the paralyzed hand.
Bönstrup M, Iturrate I, Thompson R, Cruciani G, Censor N, Cohen LG. A Rapid Form of Offline Consolidation in Skill Learning. Curr Biol. 2019;29(8):1346-1351.e4.
Hussain SJ, Claudino L, Bönstrup M, Norato G, Cruciani G, Thompson R, Zrenner C, Ziemann U, Buch E, Cohen LG. Sensorimotor Oscillatory Phase-Power Interaction Gates Resting Human Corticospinal Output. Cereb Cortex. 2019;29(9):3766-3777.
Bönstrup M, Iturrate I, Hebart MN, Censor N, Cohen LG. Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data. NPJ Sci Learn. 2020;5:7.
Quentin R, King JR, Sallard E, Fishman N, Thompson R, Buch ER, Cohen LG. Differential Brain Mechanisms of Selection and Maintenance of Information during Working Memory. J Neurosci. 2019;39(19):3728-3740.
Ramos-Murguialday A, Curado MR, Broetz D, Yilmaz Ö, Brasil FL, Liberati G, Garcia-Cossio E, Cho W, Caria A, Cohen LG, Birbaumer N. Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up. Neurorehabil Neural Repair. 2019;33(3):188-198.
Related Scientific Focus Areas
Social and Behavioral Sciences
This page was last updated on September 4th, 2020