Timing and communication of parietal cortex for visuomotor control

Battaglia-Mayer, Alexandra; Ferrari-Toniolo, Simone; Visco-Comandini, Federica

doi:10.1016/j.conb.2015.03.005

Cited by 12 publications

(6 citation statements)

References 50 publications

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“…There is considerable overlap in the neural mechanisms underlying motion perception and smooth pursuit (Lisberger, 2010;Osborne, Lisberger, & Bialek, 2005;Spering & Montagnini, 2011), facilitating transfer from motion perception to motion tracking. Even though there is evidence for interdependency between the neural control of eye and hand movements, particularly within posterior parietal cortex (Snyder, Batista, & Andersen, 1997;Buneo & Andersen, 2006;Cui & Andersen, 2007;Battaglia-Mayer, Ferrari-Toniolo, & Visco-Comandini, 2015), both types of movement are ultimately controlled by effectorspecific networks. Moreover, there is little research on the neural mechanisms underlying pursuit-hand coordination, and the extent of overlap between the cortical architecture underlying each type of movement is unclear.…”

Section: Eye Movement Training Does Not Transfer To Hand Movementsmentioning

confidence: 99%

Eye movement training is most effective when it involves a task-relevant sensorimotor decision

et al. 2018

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Eye and hand movements are closely linked when performing everyday actions. We conducted a perceptual-motor training study to investigate mutually beneficial effects of eye and hand movements, asking whether training in one modality benefits performance in the other. Observers had to predict the future trajectory of a briefly presented moving object, and intercept it at its assumed location as accurately as possible with their finger. Eye and hand movements were recorded simultaneously. Different training protocols either included eye movements or a combination of eye and hand movements with or without external performance feedback. Eye movement training did not transfer across modalities: Irrespective of feedback, finger interception accuracy and precision improved after training that involved the hand, but not after isolated eye movement training. Conversely, eye movements benefited from hand movement training or when external performance feedback was given, thus improving only when an active interceptive task component was involved. These findings indicate only limited transfer across modalities. However, they reveal the importance of creating a training task with an active sensorimotor decision to improve the accuracy and precision of eye and hand movements.

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Section: Eye Movement Training Does Not Transfer To Hand Movementsmentioning

confidence: 99%

Eye movement training is most effective when it involves a task-relevant sensorimotor decision

et al. 2018

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“…59 , who found hypo-connectivity between the right inferior parietal area and bilateral M1 and premotor areas in PIGD Parkinson phenotype with respect to TD phenotype. The inferior parietal lobe, particularly in the right hemisphere, has been viewed as a visuomotor interface for object-directed actions 60 , eventually causing difficulties in movement initiation and spatial neglect when deteriorated 61 . This suggests that right inferior parietal changes could be shared by most neuropathologies causing motor-related disorders.…”

Section: Discussionmentioning

confidence: 99%

A data mining approach using cortical thickness for diagnosis and characterization of essential tremor

Serrano

Romero

Castillo

et al. 2017

Sci Rep

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Essential tremor (ET) is one of the most prevalent movement disorders. Being that it is a common disorder, its diagnosis is considered routine. However, misdiagnoses may occur regularly. Over the past decade, several studies have identified brain morphometric changes in ET, but these changes remain poorly understood. Here, we tested the informativeness of measuring cortical thickness for the purposes of ET diagnosis, applying feature selection and machine learning methods to a study sample of 18 patients with ET and 18 age- and sex-matched healthy control subjects. We found that cortical thickness features alone distinguished the two, ET from controls, with 81% diagnostic accuracy. More specifically, roughness (i.e., the standard deviation of cortical thickness) of the right inferior parietal and right fusiform areas was shown to play a key role in ET characterization. Moreover, these features allowed us to identify subgroups of ET patients as well as healthy subjects at risk for ET. Since treatment of tremors is disease specific, accurate and early diagnosis plays an important role in tremor management. Supporting the clinical diagnosis with novel computer approaches based on the objective evaluation of neuroimage data, like the one presented here, may represent a significant step in this direction.

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“…A model relevant to eye-hand coordination (Mascaro et al, 1983) integrating inputs from the retinal position of the target with eye-and hand position shows that both feedforward and recurrent interactions of these signals account very well for the experimentally observed tuning fields of parietal neurons. In this model, the representation of directional variables concerning hand and eye movement emerges from Hebbian synaptic plasticity alone (see Battaglia-Mayer and Caminiti 2002;Battaglia-Mayer et al, 2015;Battaglia-Mayer and Caminiti, 2017).…”

Section: Cortical Connections Of the Db-ipsmentioning

confidence: 99%

The Complex Hodological Architecture of the Macaque Dorsal Intraparietal Areas as Emerging from Neural Tracers and DW-MRI Tractography

Caminiti

Girard

Battaglia-Mayer

et al. 2021

eNeuro

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In macaque monkeys, dorsal intraparietal areas are involved in several daily visuo-motor actions. However, their border and sources of cortical afferents remain loosely defined.Combining retrograde histological tracing and MRI diffusion-based tractography we found a complex hodology of the dorsal bank of the IPS, which can be subdivided into a rostral area PEip, projecting to the spinal cord, and a caudal area MIP lacking such projections. Both include a rostral and a caudal sector, emerging from their ipsilateral, gradient-like connectivity profiles. As tractography estimations, we used the cross-sectional volume of the white matter bundles connecting each area with other parietal and frontal regions, after selecting ROIs corresponding to the injection sites of neural tracers. For most connections, we found a significant correlation between the proportions of cells projecting to all sectors of PEip and MIP along the continuum of the dorsal bank of the IPS and tractography. The latter also revealed "false positive" but plausible streamlines awaiting histological validation. Significance StatementCombined histological and DW-MRI tractography revealed that intraparietal areas PEip and MIP share common inputs from other parietal, frontal and, to a lesser extent, cingulate areas, although with different gradient-like connectivity profiles. Both tractography and histology revealed a high number of common paths, although tractography showed false positive connections awaiting histological validation. A correlation was performed between the proportion of labelled cells projecting to PEip and MIP and the diffusion-based connectivity estimation of the regions of interest corresponding to the injection sites of retrograde tracers. The results showed a significant correlation from most connections studied, opening a window for future studies contrasting proportions of cells giving rise to the fiber bundles connecting cortical areas with measures of diffusion tractography connectivity.

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Timing and communication of parietal cortex for visuomotor control

Cited by 12 publications

References 50 publications

Eye movement training is most effective when it involves a task-relevant sensorimotor decision

Eye movement training is most effective when it involves a task-relevant sensorimotor decision

A data mining approach using cortical thickness for diagnosis and characterization of essential tremor

The Complex Hodological Architecture of the Macaque Dorsal Intraparietal Areas as Emerging from Neural Tracers and DW-MRI Tractography

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