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Nahid Zokaei1, Sanjay Manohar, Masud Husain

  • 1Department of Experimental Psychology, University of Oxford, Oxford, OX1 3UD, United Kingdom, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, United Kingdom, Institute of Cognitive Neuroscience, University College London, London, WC1N 3AR, United Kingdom, and School of Psychology and Clinical Language Sciences, University of Reading, RG6 7BE, United Kingdom.

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Summary
This summary is machine-generated.

Working memory (WM) stores information in different states. Disrupting privileged WM items with transcranial magnetic stimulation (TMS) impaired their recall, while non-privileged items improved, revealing distinct memory representations.

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Area of Science:

  • Cognitive Neuroscience
  • Neuroscience

Background:

  • Working memory (WM) may not represent all items identically.
  • Some items might be in a privileged state, enhancing accessibility and recall precision.

Purpose of the Study:

  • To provide causal evidence for differential item states in WM using transcranial magnetic stimulation (TMS).
  • To investigate how task relevance and serial position influence WM item states and susceptibility to disruption.

Main Methods:

  • Two experiments applied TMS to area MT+ during WM retention of two motion directions.
  • Experiment 1 used an incidental cue to create a privileged state.
  • Experiment 2 utilized recency (sequential presentation) to establish a privileged state.

Main Results:

  • Recall precision was differentially affected by TMS based on the memory item's state.
  • Privileged items showed reduced recall precision after TMS.
  • Non-privileged items showed improved recall precision, potentially due to TMS facilitation or reduced interference.

Conclusions:

  • Results provide causal evidence for at least two distinct representational states within WM.
  • Disruption of privileged items over sensory brain regions (MT+) impacts WM recall.
  • TMS over MT+ selectively affects privileged WM content, suggesting state-dependent neural representations.