The Effect of Retro-Cueing on an ERP Marker of VSTM Maintenance Alexandra M Murray, Bo-Cheng Kuo, Mark G Stokes, Anna C Nobre Brain & Cognition Laboratory,

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The Effect of Retro-Cueing on an ERP Marker of VSTM Maintenance Alexandra M Murray, Bo-Cheng Kuo, Mark G Stokes, Anna C Nobre Brain & Cognition Laboratory, Department of Experimental Psychology, University of Oxford Experimental Questions: Findings & Conclusions: References: Behavioural Task: Behavioural Results: Performance based on VSTM can be improved flexibly by retro-cues that provide information about the location of potentially relevant items for guiding subsequent behaviour (Nobre, Griffin, & Rao, 2008). The mechanisms by which retro-cues operate are still under investigation. We tested whether spatial retro-cueing could modulate VSTM maintenance. We used the CDA as a marker of VSTM maintenance (Vogel & Machizawa, 2004; Vogel, McCollough, & Machizawa, 2005). Specifically, we asked: 1.Does spatial retro-cueing improve performance on a VSTM search/retrieval task? 2.Is there a load-dependent CDA effect? 3.Is the CDA modulated by spatial retro-cueing? Analyses revealed a number of both surprising and expected results. 1.Both accuracy and reaction times were facilitated by retro- cues. 2.The CDA was significantly affected by the load of remembered items. 3.CDA diminished upon presentation of a retro-cue, regardless of whether it was a neutral or spatial cue. Nobre, A. C., Griffin, I. C., & Rao, A. (2008). Spatial attention can bias search in visual short-term memory. Frontiers in Human Neuroscience, 1(4), 1-9. Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428, Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438, Participants (N=12) Experimental Factors: - Load (2 and 4) - Cue (50% valid, 50% neutral) - Response (50% match, 50% non-match) B A Figure 1: (A) The fixation cross was followed by a pre-cue directing attention to one side of a memory array (2 or 4 items on each side). After a delay, a retro-cue further directed attention to the relevant items. Participants responded to whether a probe was present/absent. (B) Meaning of the five possible cue types (neutral and four from the cued side of the display: upper left, upper right, lower left, lower right). The left panel provides an example of the two load conditions. ERP Methods: Fixation: ms Pre-cue: 200ms Array: 200ms Retro-cue: 200ms Probe: 200ms ITI: ms ISI: 800ms ISI: ms ISI: 500–1000ms ** * Accuracy * * * Reaction Time Figure 2: Accuracy and Reaction Time (RT) data in terms of the load of items in the memory array and the validity of the retro-cue. Validity: Accuracy (F(1,11)=36.43, p<0.001), RT (F(1,11)=115.90, p<0.001). Load: Accuracy (F(1,11)=115.63, p<0.001), RT (F(1,11)=33.06, p<0.001). Interaction: Accuracy (F(1,11)=15.52, p=0.002), RT (F(1,11)=3.51, p=0.09). d’: Cued (d’=1.60) compared to neutral (d’=1.22) (t(11)=6.41, p<0.001). The EEG was recorded continuously using Neuroscan 4.3 (40 channels, 1000 Hz rate, 0-200Hz filter) Re-referenced offline to the averaged mastoids and low- pass filtered (40 Hz) ERPs around memory array (-200 to 1800 ms) Epochs containing blinks, saccades or drifts excluded * Significant at the p<0.001 level Spatial Retro-cue Neutral Retro-cue Figure 3: The averaged ERP waveforms time- locked to the presentation of the memory array in the spatially and neutrally retro-cued conditions over posterior contralateral and ipsilateral electrodes (PO7/8) (positive voltage is plotted up). The difference between contralateral and ipsilateral waveforms (CDA) is plotted on the right. Shading indicates the two time periods of interest for the analysis: ms after the memory array and ms after the retro-cue. A repeated-measures ANOVA (over P7/P8, PO7/PO8, P3/P4 and PO3/PO4) tested the effects of cue (spatial, neutral), load (2, 4) and time period (pre-cue, post-cue). The CDA was significantly modulated by load (F(1,11)=5.28, p=0.042) and by time period (F(1,11)= , p<0.001). Critically, there was a significant interaction between time and load (F(1,11)=6.74, p=0.025) suggesting that the CDA diminished with the onset of a cue (F(1,11)=6.28, p=0.042). This was, however, independent of cue validity (F(1,11)=0.04, p=0.85). ERP Results: -3µV +2µV Array OnsetRetro-Cue OnsetProbe Onset PO7/ PO8 Load 2 Load 4 -3µV +2µV Array OnsetRetro-Cue Onset Probe Onset PO7/PO8 Load 2 Load 4 Figure 4: Two-dimensional scalp topographies averaged across cue type for ms. Ipsi Contra Load µV + 5µV Load µV + 5µV -3µV +2µV Array Onset Retro-Cue Onset Probe Onset Cued - CDANeutral – CDA -3µV +2µV Array Onset Retro-Cue Onset Probe Onset Load µV + 5µV Load µV +5µV Load 2Load Figure 5: A frontal CDA was also observed, shown for the neutral and cued conditions (averaged over F7/8, FT7/8, FP1/2 ) Array OnsetRetro-Cue OnsetProbe Onset Array OnsetRetro-Cue OnsetProbe Onset Ipsi Contra Supported by The Welcome Trust Load 2 Load 4 Load 2 Load 4 Ipsi Contra Ipsi Contra