000159097 001__ 159097
000159097 005__ 20181203022142.0
000159097 0247_ $$2doi$$a10.1111/j.1460-9568.2009.07003.x
000159097 022__ $$a0953-816X
000159097 02470 $$2ISI$$a000272836200017
000159097 037__ $$aARTICLE
000159097 245__ $$aSupplementary motor area and anterior intraparietal area integrate fine-graded timing and force control during precision grip
000159097 260__ $$bWiley-Blackwell$$c2009
000159097 269__ $$a2009
000159097 336__ $$aJournal Articles
000159097 520__ $$aWe investigated the neuronal processing of the physiologically particularly important precision grip (opposition of index finger and thumb) by the combination of functional magnetic resonance imaging (fMRI) and an MR-compatible haptic interface. Ten healthy subjects performed isometric precision grip force generation with visual task instruction and real-time visual feedback in a block design. In a 2 x 2 two-factorial design, both the timing and force could be either constant or varying (identical average timing and force). As we expected only small changes in the fMRI response for the different fine-graded motor control conditions, we maximized the sensitivity of the data analysis and implemented a volumes of interest (VOI) restricted general linear model analysis including non-explanatory force regressors to eliminate directly force-related low-level activations. The VOIs were defined based on previous studies. We found significant associations: timing variation (variable vs. constant) and primary motor area (M1) and dorsal premotor area (PMd); force variation (variable vs. constant) and primary somatosensory area (S1), anterior intraparietal area (AIP) and PMd; interaction of timing and force and supplementary motor area (SMA) and AIP. We conclude that SMA and AIP integrate fine-graded higher-level timing and force control during precision grip. M1, S1 and PMd process lower-level timing and force control, yet not their integration. These results are the basis for a detailed assessment of manual motor control in a variety of motor diseases. The detailed behavioural assessment by our MR-compatible haptic interface is particularly valuable in patients due to expected larger inter-individual variation in motor performance.
000159097 6531_ $$afunctional MRI
000159097 6531_ $$ahuman brain imaging
000159097 6531_ $$amotor control
000159097 6531_ $$amotor system
000159097 6531_ $$asupplementary motor area
000159097 6531_ $$aCortical Activity
000159097 6531_ $$aPremotor Cortex
000159097 6531_ $$aCerebral-Cortex
000159097 6531_ $$aBrain Activity
000159097 6531_ $$aFmri
000159097 6531_ $$aDorsal
000159097 6531_ $$aHumans
000159097 700__ $$aHaller, Sven
000159097 700__ $$0240026$$g119941$$aChapuis, Dominique
000159097 700__ $$0240025$$g113795$$aGassert, Roger
000159097 700__ $$aBurdet, Etienne
000159097 700__ $$aKlarhoefer, Markus
000159097 773__ $$j30$$tEuropean Journal Of Neuroscience$$q2401-2406
000159097 909C0 $$0252016$$pLSRO
000159097 909CO $$ooai:infoscience.tind.io:159097$$pSTI$$particle
000159097 917Z8 $$xWOS-2010-11-30
000159097 917Z8 $$x104561
000159097 937__ $$aEPFL-ARTICLE-159097
000159097 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000159097 980__ $$aARTICLE