The role of parietal cortex in visuomotor control: What have we learned from neuroimaging?

Culham, Jody C.; Cavina-Pratesi, Cristiana; Singhal, Anthony

doi:10.1016/j.neuropsychologia.2005.11.003

Cited by 407 publications

(311 citation statements)

References 162 publications

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“…For example, ventral premotor cortex and posterior parietal cortex were previously implicated in motor representations associated with tool usage [Chao and Martin, 2000;Culham et al, 2006;Phillips et al, 2002]. The inclusion of motor and somatosensory areas in object representations is also consistent with ''embodied cognition,'' a theoretical position holding that conceptual representations contain perceptual and motor components corresponding to human interactions with real entities in the physical environment (e.g., Glenberg, 1997].…”

Section: Conclusion and Discussionmentioning

confidence: 58%

Exploring commonalities across participants in the neural representation of objects

Shinkareva

Malave

Just

et al. 2011

Human Brain Mapping

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The question of whether the neural encodings of objects are similar across different people is one of the key questions in cognitive neuroscience. This article examines the commonalities in the internal representation of objects, as measured with fMRI, across individuals in two complementary ways. First, we examine the commonalities in the internal representation of objects across people at the level of interobject distances, derived from whole brain fMRI data, and second, at the level of spatially localized anatomical brain regions that contain sufficient information for identification of object categories, without making the assumption that their voxel patterns are spatially matched in a common space. We examine the commonalities in internal representation of objects on 3T fMRI data collected while participants viewed line drawings depicting various tools and dwellings. This exploratory study revealed the extent to which the representation of individual concepts, and their mutual similarity, is shared across participants. Hum Brain Mapp 33:1375-1383,

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Section: Conclusion and Discussionmentioning

confidence: 58%

Exploring commonalities across participants in the neural representation of objects

Shinkareva

Malave

Just

et al. 2011

Human Brain Mapping

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“…(2007b) were obtained by means of a subtraction procedure (reach‐to‐grasp—reaching‐only) which is conventionally adopted by studies focusing on visuomotor transformation components underlying grasping (Culham et al. 2003, 2006). Here we confirmed the involvement of left AIP in coding differences between the two types of grasp, also at the level of voxel patterns.…”

Section: Discussionmentioning

confidence: 99%

“…2014; Culham et al. 2006; Vesia and Crawford, 2012) and has been shown to be involved in the representation of both the transport and the hand preshaping components of reaching‐only and reach‐to‐grasp actions, respectively (e.g., Fabbri et al. 2014).…”

Section: Discussionmentioning

confidence: 99%

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Probing the reaching–grasping network in humans through multivoxel pattern decoding

et al. 2015

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IntroductionThe quest for a putative human homolog of the reaching–grasping network identified in monkeys has been the focus of many neuropsychological and neuroimaging studies in recent years. These studies have shown that the network underlying reaching‐only and reach‐to‐grasp movements includes the superior parieto‐occipital cortex (SPOC), the anterior part of the human intraparietal sulcus (hAIP), the ventral and the dorsal portion of the premotor cortex, and the primary motor cortex (M1). Recent evidence for a wider frontoparietal network coding for different aspects of reaching‐only and reach‐to‐grasp actions calls for a more fine‐grained assessment of the reaching–grasping network in humans by exploiting pattern decoding methods (multivoxel pattern analysis—MVPA).MethodsHere, we used MPVA on functional magnetic resonance imaging (fMRI) data to assess whether regions of the frontoparietal network discriminate between reaching‐only and reach‐to‐grasp actions, natural and constrained grasping, different grasp types, and object sizes. Participants were required to perform either reaching‐only movements or two reach‐to‐grasp types (precision or whole hand grasp) upon spherical objects of different sizes.ResultsMultivoxel pattern analysis highlighted that, independently from the object size, all the selected regions of both hemispheres contribute in coding for grasp type, with the exception of SPOC and the right hAIP. Consistent with recent neurophysiological findings on monkeys, there was no evidence for a clear‐cut distinction between a dorsomedial and a dorsolateral pathway that would be specialized for reaching‐only and reach‐to‐grasp actions, respectively. Nevertheless, the comparison of decoding accuracy across brain areas highlighted their different contributions to reaching‐only and grasping actions.ConclusionsAltogether, our findings enrich the current knowledge regarding the functional role of key brain areas involved in the cortical control of reaching‐only and reach‐to‐grasp actions in humans, by revealing novel fine‐grained distinctions among action types within a wide frontoparietal network.

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“…Functional connectivity analyses have shown a tight correlation between visual cortex and IPS activity during visuospatial processing (Kayser et al, 2010a;Sereno et al, 2001;Silver et al, 2005;Swisher et al, 2007), and manipulation of visuospatial or featurebased attention modulates IPS activity (Corbetta and Shulman, 2002;Kayser et al, 2010b, respectively). Further studies have also correlated IPS activity with evidence accumulation (Kayser et al, 2010a;Ploran et al, 2007) and motor intention (Hesse et al, 2006;Rushworth et al, 2003); and a number of studies investigating visuomotor control show activation within and around IPS (reviewed in Culham et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

The neural representation of sensorimotor transformations in a human perceptual decision making network

Erickson

Kayser

2013

NeuroImage

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Humans can quickly engage a neural network to transform complex visual stimuli into a motor response. Activity from a key region within this network, the intraparietal sulcus (IPS), has been associated with evidence accumulation and motor planning, thus implicating it in sensorimotor transformations. If such transformations occur within a brain region, a key and untested prediction is that neural activity reflecting both the parametric amount of evidence available and the timing of motor planning can be independently manipulated. To investigate these ideas, we constructed a dot motion discrimination task in which information about response modality (what to use) and response mapping (how to use it) was provided independently either before or after presentation of a dot motion coherence stimulus whose strength varied across trials. Consistent with our hypothesis, activity within IPS covaried with dot motion coherence during the stimulus phase, and as information necessary for the response was delayed, the peak of IPS activity shifted to the response phase. In contrast, areas such as the motion-sensitive region MT+ and the supplementary motor area demonstrated activity limited to the stimulus and response phases of the task, respectively. These results show that activity in IPS correlates with temporally dissociable representations consistent with both evidence accumulation and motor planning, and suggest that IPS is a core component for sensorimotor transformations within the perceptual decision-making network.© 2013 Elsevier Inc. All rights reserved. IntroductionThe ability to link sensation with action is integral to even the most fundamental of decisions. In humans, a number of studies have identified a frontoparietal network involved in processes during perceptual decisions, including sensory processing, attentional control, evidence accumulation, and motor planning (Heekeren et al., 2008; Kayser et al., 2010a,b;Liu and Pleskac, 2011;Ploran et al., 2007Ploran et al., , 2011Rowe et al., 2010;Ho et al., 2009;Tosoni et al., 2008). Previously we demonstrated that for subjects performing a dot motion discrimination task, this network displays a blood oxygen level-dependent (BOLD) response that varies inversely with motion coherence (Kayser et al., 2010a). Consistent with previous and subsequent findings (e.g., Hebart et al., 2012;Ho et al., 2009;Kayser et al., 2010b), this negative parametric effect matched predictions of a proportional-rate diffusion model for evidence accumulation to a threshold (Palmer et al., 2005;Ratcliff and McKoon, 2008), and linked human brain activity with a computational model of the transformation from stimulus to response.Although this parametric effect is necessary, it is not sufficient to define regions that support such sensorimotor transformations. Human studies, for example, show that areas such as the motion-sensitive region MT+, supplementary motor area (SMA), and intraparietal sulcus (IPS) all display this parametric effect. Importantly, results from macaque studies show that ...

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The role of parietal cortex in visuomotor control: What have we learned from neuroimaging?

Cited by 407 publications

References 162 publications

Exploring commonalities across participants in the neural representation of objects

Exploring commonalities across participants in the neural representation of objects

Probing the reaching–grasping network in humans through multivoxel pattern decoding

The neural representation of sensorimotor transformations in a human perceptual decision making network

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