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Postural control of arm and fingers through integration of movement commands.
Albert, Scott T; Hadjiosif, Alkis M; Jang, Jihoon; Zimnik, Andrew J; Soteropoulos, Demetris S; Baker, Stuart N; Churchland, Mark M; Krakauer, John W; Shadmehr, Reza.
Affiliation
  • Albert ST; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, United States.
  • Hadjiosif AM; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, United States.
  • Jang J; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, United States.
  • Zimnik AJ; Department of Neuroscience, Columbia University, New York, United States.
  • Soteropoulos DS; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Baker SN; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Churchland MM; Department of Neuroscience, Columbia University, New York, United States.
  • Krakauer JW; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, United States.
  • Shadmehr R; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, United States.
Elife ; 92020 02 11.
Article in En | MEDLINE | ID: mdl-32043973
Moving an arm requires the brain to send electrical signals to the arm's muscles, causing them to contract. Neuroscientists call these types of brain signals "move signals". The brain also sends so-called hold signals, which hold the arm still in a desired position. Part of the brain known as the primary motor cortex helps to calculate the move signals for the arm, but it was unclear how the brain produces the corresponding hold signals. Fortunately, the fact that the brain moves other things besides arms may help answer this question. Previous research has shown, for example, that a brain area called the "neural integrator" calculates the hold signals needed to hold the eye in a specific position. The neural integrator does this by using basic principles of physics, and details of the speed and duration of the eye's movements. Now, Albert et al. show a similar mechanism appears to control hold signals for arm movements. In one set of experiments, muscle activity was measured as monkeys moved their arms or fingers to different target positions. In other experiments, human volunteers held a robot arm, and Albert et al. measured the forces they produced while reaching and holding still. Both the human and monkey experiments revealed a relationship between move signals and hold signals. Like for eye movements, hold signals for the arm could be calculated from the move signals. In further experiments with stroke patients where the brain had been damaged, the move signals were found to be deteriorated, but the way hold signals were calculated stayed the same. This suggests that there is an unknown structure within the brain that calculates hold signals based on move signals. Investigating how the brain holds the arm still may help scientists understand why some neurological conditions like stroke or dystonia cause unwanted movements or unusual postures. This might also lead scientists to develop new ways to treat these conditions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyramidal Tracts / Stroke / Postural Balance / Models, Neurological / Movement Type of study: Observational_studies / Prognostic_studies Limits: Animals / Humans Language: En Journal: Elife Year: 2020 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyramidal Tracts / Stroke / Postural Balance / Models, Neurological / Movement Type of study: Observational_studies / Prognostic_studies Limits: Animals / Humans Language: En Journal: Elife Year: 2020 Document type: Article Affiliation country: Country of publication: