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Kenemans, L.

Publications and source records attributed to Kenemans, L..

3 recordsLinked to original sources

Gaze biases can reflect task-specific spatial memorization strategies

Previous work has suggested that small directional eye movements not only reveal the focus of external spatial attention towards visible stimuli, but also accompany shifts of internal attention to stimuli in visual working memory (VWM)(van Ede et al., 2019). When the orientations of two bars are memorized and a subsequent retro-cue indicates which orientation needs to be reported, participants gaze is systematically biased towards the former location of the cued item (Figure 1AB). This finding was interpreted as evidence that the oculomotor system indexes internal attention; that is, attention directed at the location of stimuli that are no longer presented but are maintained in VWM. Importantly, as the location of the bars is presumably not relevant to the memory report, the authors concluded that orientation features in VWM are automatically associated with locations, suggesting that VWM is inherently spatially organized. This conclusion depends on the key assumption that participants indeed memorize and subsequently attend orientation features. Here we re-analyse Experiment 1 by van Ede et al. (2019) and demonstrate that this assumption does not hold. Instead of memorizing orientation features, participants deployed an alternative spatial strategy by memorizing bar endpoints. Although we do not call into question the conclusion that internal attention is inherently spatially organized, our results do imply that directional gaze biases might also reflect attention directed at task-relevant stimulus endpoints, rather than internal attention directed at memorized orientations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/610231v2_fig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@940e51org.highwire.dtl.DTLVardef@37ec3dorg.highwire.dtl.DTLVardef@176b186org.highwire.dtl.DTLVardef@180e8a7_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Gaze density maps from Experiment 1 by van Ede et al. (2019) (N = 23, trials included = 20.864, 400 to 1000 ms). AB. Original reported effect of cued item location on gaze bias. Calculated by subtracting cued-item-left and cued-item-right gaze density maps. Rectangles indicate used stimulus positions and orientation ranges (min: 20{degrees}, mean: 45{degrees}, max: 70{degrees}; min: 110{degrees}, mean: 135{degrees}, max: 160{degrees}) of bar stimuli. C. Normalized Gaze bias vectors per condition (red dotted lines), horizontal vectors (dotted black lines) and average vectors pointing towards most foveal bar endpoints (solid black lines). Gaze bias vector endpoints were calculated from the centre of mass of each condition, ignoring negative values. Circular t-tests revealed that individual gaze bias vector angles (red dotted lines) were significantly different from horizontal vectors (dotted black lines) but not significantly different from endpoint vectors (solid black lines). FI. Vertical gaze bias revealed by separating trials based on bar orientations. Red dotted lines depict group average gaze bias vectors. F. Both bar endpoints "upwards" (left: 20{degrees} to 70{degrees} right: 110{degrees} to 160{degrees}) minus both bars endpoints "downwards" (left: 110{degrees} to 160{degrees}, right: 20{degrees} to 70{degrees}). I. Both "downwards" minus both "upwards". DEGH. Individual gaze density maps for each attention (left versus right) and bar endpoint direction (upwards versus downwards) separately. Solid black Lines show average vector pointing towards closest 45{degrees}/135{degrees} bar endpoint (i.e., average optimal gaze location for solving the memory task through memory maintenance of a spatial location). Red dotted lines depict group average gaze bias vectors (calculated from the centre of mass of each condition, ignoring negative values). C_FIG

neuroscience↗

Frontal theta power prospectively associated with response inhibition

A proactive mechanism has been postulated to promote successful inhibition (Kenemans, 2015). Specifically, this mechanism is thought to operate before any action demanding or countermanding event has occurred. In the current study, we investigated whether EEG theta power could reflect this mechanism, in a sample of healthy individuals performing a stop-signal paradigm. By comparing frontal theta power preceding failed versus successful stop trials, we tested whether frontal theta is predictive of inhibition success. We hypothesized that proactive cognitive control manifests in frontal theta power preceding a countermanding go-stop event. Our results demonstrate that frontal theta is indeed higher preceding successful as compared to preceding failed stopping events. We also show that frontal theta power preceding stopping events is associated with Stop-Signal Reaction Times (SSRT), with a higher theta being indicative of shorter SSRTs. This association was not present for go-RT. This study may be the first to reveal a relationship between lower frontal theta power and subsequent stopping failure, suggesting thetas role in proactive response inhibition.

neuroscience↗

Individual differences in the effects of salience and reward on impulse control and action selection

Impulse control and adequate decision making are vital functions when it comes to detection and adherence to societal rules, especially in critical circumstances such as the Covid pandemic. In the current study we tested the hypothesis that increasing the salience of environmental cues would be most effective in improving impulse control, as assessed in a stop-signal task, in subjects with low environmental susceptibility as indexed by low pre-stimulus EEG alpha power. In addition, we anticipated that an external-reward intervention improves performance during a Go/No go task, especially in individuals with low task-induced motivation as indexed by low theta/ beta power ratios. High salience of stop signals enhanced stopping performance but there was no difference in responsivity to the salience intervention between participants with high and low EEG alpha power. Individuals with low theta/ beta power ratios responded more accurately when rewards were at stake. Together these results suggest that increasing the salience of external cues may help impulse control in general, whereas the effectiveness of external-reward interventions is higher in individuals with low task-induced motivation.

neuroscience↗