Imaging brain plasticity during motor skill learning.
By Leslie G. Ungerleider, Julien Doyon, Avi Karni. Neurobiology of Learning and Memory, 2002
649 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/5c8e16b8918e0a4ed05ff208aeb27d196d75ebc7
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In Cognitive Neuroscience
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Citations in the corpus
- The influence of writing practice on letter recognition in preschool children: a comparison between handwriting and typing. (2005, background): “The acquisition of motor skills seems to involve two main stages: an early, fast learning stage in which performances improve considerably as the result of a single training session, and a later, slow learning stage in which further gains can occur during several sessions (and even weeks) of practic”
- Sleep, memory, and plasticity. (2006, background): “…period awake, increased activation was identified in motor control structures of the right primary motor cortex (Figure 8A) and left cerebellum (Figure 8B)—changes that allow more precise motor output (Ohyama et al. 2003) and faster mapping of intention to key-press (Ungerleider et al. 2002).”
- Sleep-Dependent Reactivation of Ensembles in Motor Cortex Promotes Skill Consolidation (2015, background): “While our evidence suggests that motor cortex is the final output of this program, it may not be where this program is ultimately “stored;” in other words, the ensembles controlling the different motor actions may be bound together by intrinsic connectivity within motor cortex or may be activated th”
- The neurobiology of consolidations, or, how stable is the engram? (2004, background): “Here changes in the primary motor cortex (M1) were detected very early in learning, in parallel with rapid changes of activity in the cerebellum, striatum, and other motor-related cortici, which was followed by slowly evolving reorganization of M1 over weeks (Ungerleider et al. 2002).”
- Cortical Synaptogenesis and Motor Map Reorganization Occur during Late, But Not Early, Phase of Motor Skill Learning (2004, background): “The initial fast phase is associated with activation of striatum and cerebellum, whereas the later phase engages motor cortex (Ungerleider et al., 2002).”
- Battery powered thought: Enhancement of attention, learning, and memory in healthy adults using transcranial direct current stimulation (2014, positive): “E D P R O O F Ungerleider et al., 2002), so this tDCS study was a logical next step, and is now considered a milestone in research in the cognitive effects of tDCS.”
- Human functional neuroimaging of brain changes associated with practice. (2005, background): “A number of researchers suggest that there is a particular signature of neural change associated with practice in primary motor or sensory cortex (e.g. Hikosaka et al., 1998; Karni et al., 1998; Hikosaka et al., 2002; Ungerleider et al., 2002; Korman et al., 2003; Kleim et al., 2004).”
- ReviewMemory Consolidation in Sleep: Dream or Reality (2004, background): “sleep is not a unique brain state for memory processing in adults—normal skill (procedural) learning does occur They instead (Ungerleider et al., 2002) noted the similarity between their findings and earlier ones on perceptual during the waking state.”
- The Brain’s Learning and Control Architecture (2012, positive): “Though several excellent studies have demonstrated plasticity in the representation system (Ungerleider et al., 2002), experience-dependent changes in the system can be difficult to spot using brain-imaging techniques because essentially the same set of representation modules is engaged to support…”
- Sleep-dependent memory consolidation and reconsolidation. (2007, background): “5B)–changes which allow more precise motor output [65] and faster mapping of intention to key-press [66].”
- Differential Modulation of Motor Cortical Plasticity and Excitability in Early and Late Phases of Human Motor Learning (2007, result): “This concept is also supported by imaging studies showing that short- and longterm motor learning activate distinguishable brain networks (Karni et al.,. 1998; Ungerleider et al., 2002; Floyer-Lea and Matthews, 2005).”