Sirigu, A.: A parietal-premotor network for movement intention and motor awareness. Trends Cogn. Science 13, 411-419

Centre de Neuroscience Cognitive, UMR 5229, CNRS, Bron, France.
Trends in Cognitive Sciences (Impact Factor: 21.97). 10/2009; 13(10):411-9. DOI: 10.1016/j.tics.2009.08.001
Source: PubMed


It is commonly assumed that we are conscious of our movements mainly because we can sense ourselves moving as ongoing peripheral information coming from our muscles and retina reaches the brain. Recent evidence, however, suggests that, contrary to common beliefs, conscious intention to move is independent of movement execution per se. We propose that during movement execution it is our initial intentions that we are mainly aware of. Furthermore, the experience of moving as a conscious act is associated with increased activity in a specific brain region: the posterior parietal cortex. We speculate that movement intention and awareness are generated and monitored in this region. We put forward a general framework of the cognitive and neural processes involved in movement intention and motor awareness.

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Available from: Angela Sirigu, Oct 29, 2014
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    • "Wesuccessfullydemonstratedthatinterhemispheric communicationinhealthysubjectswasmediatedintheθfrequencyband ,revealingincreasedfunctionalconnectivity oftheseedelectrodeovertheprimarymotorcortexofthe lefthemispherewiththehomologouscortexoftheright hemisphere,i.e.,withelectrodesoverrightsensori-motorand parieto-occipitalareasduringtheearlyperiodofthetask.In latertaskperiods,whentheperformanceofrobotcontrol droppedsignificantly,lefthemisphericparieto-occipitalareas alsorevealedacoupling.Thesefindingsareinlinewithour recentobservationthatparticipantswithalowerabilityto maintainprolongedstatesofβ-ERDduringMIandfeedback withahandrobotrecruitedalearningrelated''scaffolding'' θ-bandnetworkbetweenthemotorcortexandtheparieto- occipitalcortextoahigherdegree(Vukeli´candGharabaghi, 2015a).Moreover,theseresultsareinaccordancewiththe knownphysiologyofmovementpreparationandexecution: therecruitmentofhomologssensorimotorregionsisessential formotorcontrolandmotorskilllearning(Beauléetal.,2012; Takeuchietal.,2012).Thelinktooccipitalregionsveryprobably mediatesthevisuomotorintegrationduringthetask(Suminski etal.,2010;Wuetal.,2014).Finally,therecruitmentofleft parietalregionsisessentialformultisensoryintegrationof visualsomatosensoryandproprioceptiveinformationinthe contextofplanningandcontrollingvoluntarymovements (Lloydetal.,2006;DesmurgetandSirigu,2009).Thus, controllingtheBRIwithsensorimotoroscillationsresulted intherecruitmentofdistributedandfunctionallycoupled motorrelatedareasthataretypicallyactivatedduringnatural movements. Thispatternwasnotdetectedineitherofthestrokepatients, indicatingtheknowncorticalreorganizationofintra-and interhemisphericcommunicationrelatedtoimpairedmotor andcognitivebehavior(Rehmeetal.,2010,2011;Dubovik "
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    ABSTRACT: While robot-assisted arm and hand training after stroke allows for intensive task-oriented practice, it has provided only limited additional benefit over dose-matched physiotherapy up to now. These rehabilitation devices are possibly too supportive during the exercises. Neurophysiological signals might be one way of avoiding slacking and providing robotic support only when the brain is particularly responsive to peripheral input. We tested the feasibility of three-dimensional robotic assistance for reach-to-grasp movements with a multi-joint exoskeleton during motor imagery-related desynchronization of sensorimotor oscillations in the β-band only. We also registered task-related network changes of cortical functional connectivity by electroencephalography via the imaginary part of the coherence function. Healthy subjects and stroke survivors showed similar patterns – but different aptitudes – of controlling the robotic movement. All participants in this pilot study with nine healthy subjects and two stroke patients achieved their maximum performance during the early stages of the task. Robotic control was significantly higher and less variable when proprioceptive feedback was provided in addition to visual feedback, i.e. when the orthosis was actually attached to the subject’s arm during the task. A distributed cortical network of task-related coherent activity in the θ-band showed significant differences between healthy subjects and stroke patients as well as between early and late periods of the task. Brain-robot interfaces may successfully link three-dimensional robotic training to the participants’ efforts and allow for task-oriented practice of activities of daily living with a physiologically controlled multi-joint exoskeleton. Changes of cortical physiology during the task might also help to make subject-specific adjustments of task difficulty and guide adjunct interventions to facilitate motor learning for functional restoration.
    Full-text · Article · Oct 2015 · Frontiers in Human Neuroscience
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    • "Awareness of the motor intention presumably arises when neural activity in specific brain circuits – including the premotor cortex , the supplementary motor areas , and the posterior parietal cortex ( Lau et al . , 2004 ; Desmurget and Sirigu , 2009 ) – exceeds an individual ' s threshold level , and therefore only after specific movement - related brain processes occurred unconsciously . While previous studies shed lights on neural ( Libet et al . "
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    ABSTRACT: The temporal relationship between our conscious intentions to act and the action itself has been widely investigated. Previous research consistently shows that the motor intention enters awareness a few hundred milliseconds before movement onset. As research in other domains has shown that most behavior is affected by the emotional state people are in, it is remarkable that the role of emotional states on intention awareness has never been investigated. Here we tested the hypothesis that positive and negative affects have opposite effects on the temporal relationship between the conscious intention to act and the action itself. A mood induction procedure that combined guided imagery and music listening was employed to induce positive, negative, or neutral affective states. After each mood induction session, participants were asked to execute voluntary self-paced movements and to report when they formed the intention to act. Exposure to pleasant material, as compared to exposure to unpleasant material, enhanced positive affect and dampened negative affect. Importantly, in the positive affect condition participants reported their intention to act earlier in time with respect to action onset, as compared to when they were in the negative or in the neutral affect conditions. Conversely the reported time of the intention to act when participants experienced negative affect did not differ significantly from the neutral condition. These findings suggest that the temporal relationship between the conscious intention to act and the action itself is malleable to changes in affective states and may indicate that positive affect enhances intentional awareness.
    Full-text · Article · Aug 2015 · Frontiers in Psychology
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    • ", 2010 ; Miele , Wager , Mitchell , & Metcalfe , 2011 ) , but also in other areas such as the anterior insula and parietal reach regions ( PRR ) , given previous accounts suggesting a key role of these areas in the sense of agency ( Farrer et al . , 2003 , 2004 ; Karnath & Baier , 2010a ; Karnath , Baier , & Nagele , 2005 ; Sperduti , Delaveau , Fossati , & Nadel , 2011 ) and motor awareness ( Assal , Schwartz , & Vuilleumier , 2007 ; Desmurget & Sirigu , 2009 ; Sirigu et al . , 2004 ) . "
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    ABSTRACT: Metacognition refers to the ability to discriminate between one’s own correct and incorrect decisions. The neurobiological underpinnings of metacognition have mainly been studied in perceptual decision-making. Here we investigated whether differences in brain structure predict individual variability in metacognitive sensitivity for visuomotor performance. Participants had to draw straight trajectories toward visual targets, which could unpredictably deviate around detection threshold, report such deviations when detected, and rate their confidence level for such reports. Structural brain MRI analyses revealed that larger gray-matter volume (GMV) in the left middle occipital gyrus, left medial parietal cortex, and right postcentral gyrus predicted higher deviation detection sensitivity. By contrast, larger GMV in the right prefrontal cortex but also right anterior insula and right fusiform gyrus predicted higher metacognitive sensitivity. These results extend past research by linking metacognitive sensitivity for visuomotor behavior to brain areas involved in action agency (insula), executive control (prefrontal cortex) and vision (fusiform).
    Full-text · Article · Jul 2015 · Consciousness and Cognition
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