BACKGROUND AND PURPOSE: Mental imagery involves rehearsing or practicing a task in the mind with no physical movement. The technique is commonly used, but the actual physical foundation of imagery has not been evaluated for the fast, complex, automatic motor movement of the golf swing. This study evaluated motor imagery of the golf swing, of golfers of various handicaps, by using functional MR imaging to assess whether areas of brain activation could be defined by this technique and to define any association between activated brain areas and golf skill. METHODS: Six golfers of various handicap levels were evaluated with functional MR imaging during a control condition and during mental imagery of their golf swing. Two control conditions were evaluated--"rest" and "wall"--and were then subtracted from the experimental condition to give the functional activation map. These control conditions were then tested against the golf imagery; the participants were told to mentally rehearse their golf swings from a first person perspective. The percentages of activated pixels in 137 defined regions of interest were calculated. RESULTS: The "rest-versus-golf" paradigm showed activation in motor cortex, parietal cortex, frontal lobe, cerebellum, vermis, and action planning areas (frontal and parietal cortices, supplementary motor area, cerebellum) and areas involved with error detection (cerebellum). Vermis, supplementary motor area, cerebellum, and motor regions generally showed the greatest activation. Little activation was seen in the cingulate gyrus, right temporal lobe, deep gray matter, and brain stem. A correlation existed between increased number of areas of activation and increased handicap. CONCLUSION: This study showed the feasibility of defining areas of brain activation during imagery of a complex, coordinated motor task. Decreased brain activation occurred with increased golf skill level for the supplementary motor area and cerebellum with little activation of basal ganglia.
BACKGROUND AND PURPOSE: Mental imagery involves rehearsing or practicing a task in the mind with no physical movement. The technique is commonly used, but the actual physical foundation of imagery has not been evaluated for the fast, complex, automatic motor movement of the golf swing. This study evaluated motor imagery of the golf swing, of golfers of various handicaps, by using functional MR imaging to assess whether areas of brain activation could be defined by this technique and to define any association between activated brain areas and golf skill. METHODS: Six golfers of various handicap levels were evaluated with functional MR imaging during a control condition and during mental imagery of their golf swing. Two control conditions were evaluated--"rest" and "wall"--and were then subtracted from the experimental condition to give the functional activation map. These control conditions were then tested against the golf imagery; the participants were told to mentally rehearse their golf swings from a first person perspective. The percentages of activated pixels in 137 defined regions of interest were calculated. RESULTS: The "rest-versus-golf" paradigm showed activation in motor cortex, parietal cortex, frontal lobe, cerebellum, vermis, and action planning areas (frontal and parietal cortices, supplementary motor area, cerebellum) and areas involved with error detection (cerebellum). Vermis, supplementary motor area, cerebellum, and motor regions generally showed the greatest activation. Little activation was seen in the cingulate gyrus, right temporal lobe, deep gray matter, and brain stem. A correlation existed between increased number of areas of activation and increased handicap. CONCLUSION: This study showed the feasibility of defining areas of brain activation during imagery of a complex, coordinated motor task. Decreased brain activation occurred with increased golf skill level for the supplementary motor area and cerebellum with little activation of basal ganglia.
Authors: H I Krebs; T Brashers-Krug; S L Rauch; C R Savage; N Hogan; R H Rubin; A J Fischman; N M Alpert Journal: Hum Brain Mapp Date: 1998 Impact factor: 5.038
Authors: H Boecker; A Dagher; A O Ceballos-Baumann; R E Passingham; M Samuel; K J Friston; J Poline; C Dettmers; B Conrad; D J Brooks Journal: J Neurophysiol Date: 1998-02 Impact factor: 2.714
Authors: J Decety; D Perani; M Jeannerod; V Bettinardi; B Tadary; R Woods; J C Mazziotta; F Fazio Journal: Nature Date: 1994-10-13 Impact factor: 49.962
Authors: J A Brefczynski-Lewis; A Lutz; H S Schaefer; D B Levinson; R J Davidson Journal: Proc Natl Acad Sci U S A Date: 2007-06-27 Impact factor: 11.205
Authors: Jonathan C Bardin; Joseph J Fins; Douglas I Katz; Jennifer Hersh; Linda A Heier; Karsten Tabelow; Jonathan P Dyke; Douglas J Ballon; Nicholas D Schiff; Henning U Voss Journal: Brain Date: 2011-03 Impact factor: 13.501