Wenzlaff, H and Bauer, M and Maess, B and Heekeren, HR (2011) Neural Characterization of the Speed-Accuracy Tradeoff in a Perceptual Decision-Making Task. J NEUROSCI , 31 (4) 1254 - 1266. 10.1523/JNEUROSCI.4000-10.2011.
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Abstract
Decisions often necessitate a tradeoff between speed and accuracy (SAT), that is, fast decisions are more error prone while careful decisions take longer. Sequential sampling models assume that evidence for different response alternatives is accumulated over time and suggest that SAT modulates the decision system by setting a lower threshold (boundary) on required accumulated evidence to commit a response under time pressure. We investigated how such a speed accuracy tradeoff is implemented neurally under different levels of sensory evidence. Using magnetoencephalography (MEG) and a face-house categorization task, we show that the later decision-and motor-related systems rather than the early sensory system are modulated by SAT. Source analysis revealed that the bilateral supplementary motor areas (SMAs) and the medial precuneus were more activated under the speed instruction and correlated negatively (right SMA) with the boundary parameter, whereas the left dorsolateral prefrontal cortex (DLPFC) was more activated under the accuracy instruction and showed a positive correlation with the boundary. The findings are interpreted in the sense that SMA activity dynamically facilitates fast responses during stimulus processing, potentially by disinhibiting thalamo-striatal loops, whereas DLPFC reflects accumulated evidence before response execution.
| Type: | Article |
|---|---|
| Title: | Neural Characterization of the Speed-Accuracy Tradeoff in a Perceptual Decision-Making Task |
| DOI: | 10.1523/JNEUROSCI.4000-10.2011 |
| Keywords: | SUPPLEMENTARY MOTOR AREA, DORSOLATERAL PREFRONTAL CORTEX, SPACE SEPARATION METHOD, SURFACE-BASED ANALYSIS, CORTICAL SURFACE, COORDINATE SYSTEM, PARIETAL CORTEX, DIFFUSION-MODEL, FACE PERCEPTION, FRONTAL-CORTEX |
| UCL classification: | UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Imaging Neuroscience |
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