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Object-location memory: a lesion-behavior mapping study in stroke patients.

Marieke van Asselen1, Roy P C Kessels, Catharina J M Frijns

  • 1IBILI-Faculty of Medicine, University of Coimbra, Portugal. masselen@ibili.uc.pt

Brain and Cognition
|September 8, 2009
PubMed
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The left posterior parietal cortex is crucial for binding object and location memory, both precise and relative. The hippocampus also plays a role in remembering relative object locations.

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Spatial Memory Research

Background:

  • Object-location memory is a key component of spatial memory.
  • It involves remembering objects, their positions, and integrating this information.
  • Subcomponents process categorical (relative) and coordinate (exact) spatial information.

Purpose of the Study:

  • Investigate the neural correlates of binding object information with categorical and coordinate position information.
  • Identify brain regions involved in different aspects of object-location memory.
  • Compare neural underpinnings in patients with focal brain lesions and healthy controls.

Main Methods:

  • Utilized an object-location memory battery with specific task conditions.
  • Examined 61 stroke patients with focal brain lesions and 77 healthy controls.

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  • Applied the lesion subtraction method to identify overlapping brain areas associated with memory functions.

    • Main Results:

    • The left posterior parietal cortex is significantly involved in binding both categorical and coordinate position information with objects.
    • The hippocampus plays a role specifically in categorical object-location memory.
    • Evidence suggests shared cognitive and neural systems for categorical and coordinate object-location memory.

    Conclusions:

    • The left posterior parietal cortex is a critical neural substrate for integrating object and spatial information in memory.
    • The hippocampus contributes uniquely to the memory of relative object positions.
    • Object-location memory, encompassing both precise and relative spatial details, relies on interconnected neural networks.