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Related Experiment Video

Updated: Jun 2, 2026

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

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Published on: June 21, 2019

Toward a spatiotemporal neurocognitive framework of manipulable object processing.

Miguel Baião1, Lénia Amaral2, Jorge Almeida3

  • 1University of Coimbra, Faculty of Psychology and Educational Sciences, Proaction Lab, Portugal; University of Coimbra, Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive-Behavioral Intervention, Portugal; University of Coimbra, Faculty of Psychology and Educational Sciences, Portugal; University of Lisbon, Portugal.

Neuroscience and Biobehavioral Reviews
|May 31, 2026
PubMed
Summary

This study reveals tool-specific brain responses using M/EEG (Magnetoencephalography/Electroencephalography) within 60-600ms, differentiating tools from non-manipulable objects through visuomotor preparation.

Keywords:
Category specificityM/EEGObjectsSpatiotemporalToolsVisual streamsVisuomotor processing

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Motor Control

Background:

  • Neural processing of tools involves known brain regions but lacks temporal dynamics.
  • Existing spatial maps of tool processing need integration with time-resolved data.
  • Temporally-resolved techniques like M/EEG are crucial for understanding neural dynamics.

Purpose of the Study:

  • To integrate M/EEG temporal findings with existing spatial knowledge of the tool network.
  • To establish a spatiotemporal framework for understanding tool processing.
  • To clarify the temporal dynamics between brain regions involved in tool manipulation.

Main Methods:

  • Analysis of M/EEG (Magnetoencephalography/Electroencephalography) data.
  • Integration of temporal M/EEG findings with established spatial maps of the tool network.
  • Examination of visuomotor-related responses, including mu rhythm desynchronization.

Main Results:

  • Identified tool-specific M/EEG responses occurring between ~60 ms and ~600 ms.
  • Demonstrated differentiation of tools from non-manipulable objects via M/EEG visuomotor responses.
  • Showed that M/EEG visuomotor responses decompose into preparatory computations for reach, grasp, and use actions.

Conclusions:

  • Proposed a novel spatiotemporal account of visuomotor preparation for tool-directed actions.
  • Highlighted the temporal interplay between tool-network nodes during feature processing.
  • Emphasized how these dynamics inform visuomotor hubs for generating action representations.