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Treating limb apraxia via action semantics: a preliminary study.

Harrison Stoll1, Matthieu M de Wit1, Erica L Middleton1

  • 1Moss Rehabilitation Research Institute, Elkins Park, PA, USA.

Neuropsychological Rehabilitation
|May 21, 2020
PubMed
Summary
This summary is machine-generated.

A new Action Network Treatment (ANT) shows promise for improving limb apraxia after stroke by targeting semantic knowledge. Some patients benefited from ANT, while others improved with the established Tool Use Treatment (TUT).

Keywords:
Limb apraxiaRehabilitationactionstroketool use

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Area of Science:

  • Neurorehabilitation
  • Cognitive Neurology
  • Stroke Recovery

Background:

  • Limb apraxia affects roughly 50% of patients post-left hemisphere cerebral vascular accident (LCVA).
  • Apraxia is characterized by impaired gesture production (spatio-temporal aspects) and/or tool-action knowledge (semantics).
  • Existing treatments focus on spatio-temporal gesture aspects (Tool Use Treatment, TUT).

Purpose of the Study:

  • To explore the efficacy of a novel Action Network Treatment (ANT) for limb apraxia.
  • ANT targets semantic associations between tool actions and tool knowledge.
  • To compare ANT with a well-studied Tool Use Treatment (TUT) in LCVA patients.

Main Methods:

  • Preliminary study with three participants diagnosed with LCVA and limb apraxia.
  • Intervention included a novel Action Network Treatment (ANT) and a Tool Use Treatment (TUT).
  • Participants received either ANT or TUT, with outcomes compared.

Main Results:

  • One participant showed improvement with both ANT and TUT.
  • A second participant benefited only from TUT.
  • Findings suggest ANT may be effective for some individuals with apraxia.

Conclusions:

  • The novel Action Network Treatment (ANT) shows potential efficacy in treating limb apraxia.
  • Different individuals with apraxia may benefit from distinct treatment approaches (ANT vs. TUT).
  • Further research is needed to identify patient characteristics that predict response to ANT or TUT.