title: Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans.
abstract: The basal ganglia are known to be involved in the planning, execution and control of gripping force and movement vigour. Here we aim to define the nature of the basal ganglia control signal for force and to decode gripping force based on local field potential (LFP) activities recorded from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes. We found that STN LFP activities in the gamma (55-90 Hz) and beta (13-30m Hz) bands were most informative about gripping force, and that a first order dynamic linear model with these STN LFP features as inputs can be used to decode the temporal profile of gripping force. Our results enhance the understanding of how the basal ganglia control gripping force, and also suggest that deep brain LFPs could potentially be used to decode movement parameters related to force and movement vigour for the development of advanced human-machine interfaces.
authors.affiliation: Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom.|Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
authors.forename: Huiling
authors.initials: H
authors.lastname: Tan
authors.affiliation: Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom.|Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
authors.forename: Alek
authors.initials: A
authors.lastname: Pogosyan
authors.affiliation: Department of Neurosurgery, Kings College Hospital, Kings College London, London, England.
authors.forename: Keyoumars
authors.initials: K
authors.lastname: Ashkan
authors.affiliation: Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
authors.forename: Alexander L
authors.initials: AL
authors.lastname: Green
authors.affiliation: Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
authors.forename: Tipu
authors.initials: T
authors.lastname: Aziz
authors.affiliation: Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, United Kingdom.
authors.forename: Thomas
authors.initials: T
authors.lastname: Foltynie
authors.affiliation: Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, United Kingdom.
authors.forename: Patricia
authors.initials: P
authors.lastname: Limousin
authors.affiliation: Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, United Kingdom.
authors.forename: Ludvic
authors.initials: L
authors.lastname: Zrinzo
authors.affiliation: Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, United Kingdom.
authors.forename: Marwan
authors.initials: M
authors.lastname: Hariz
authors.affiliation: Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom.|Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
authors.forename: Peter
authors.initials: P
authors.lastname: Brown
mesh_terms: D000200:Action Potentials; D000368:Aged; D046690:Deep Brain Stimulation; D004567:Electrodes, Implanted; D006801:Humans; D008875:Middle Aged; D053580:Muscle Strength; D010300:Parkinson Disease / Q000601:surgery*; D020531:Subthalamic Nucleus / Q000502:physiology*
keywords: basal ganglia; beta oscillation; gamma oscillation; gripping force; human; local field potentials; neuroscience