Striatum and pre-SMA facilitate decision-making under time pressure

By Birte U. Forstmann, Gilles Dutilh, Scott D. Brown, Jane Neumann, D. Yves von Cramon, K. R. Ridderinkhof, Eric-Jan Wagenmakers, Richard M. Shiffrin, E. W. Proceedings of the National Academy of Sciences of the United States of America, 2008

657 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/422ab09c5e46139cd8c83688a62f3d79fb5f4fb4

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In Cognitive Neuroscience

Citations in the corpus

The speed-accuracy tradeoff: history, physiology, methodology, and behavior (2014, background): “In fact, the most consistent finding is that relative to accuracy emphasis, placing subjects under speed stress leads to an increase in the BOLD response during baseline intervals (Forstmann et al., 2008; Ivanoff et al., 2008; van Veen et al., 2008; Bogacz et al., 2010b).”
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python (2013, background): “These studies are typically interested in neural mechanisms associated with the accumulation process or for regulating the decision threshold (e.g., Forstmann et al., 2008; Ratcliff et al., 2009; Cavanagh et al., 2011).”
The structural basis of inter-individual differences in human behaviour and cognition (2011, result): “This finding is compatible with earlier functional MRI studies showing, first, that the areas connected by this pathway are activated by cues that indicate higher demands for response speed; and second, that activation in these areas correlates with the ability to switch between cautious and risky b”
An Introduction to Model-Based Cognitive Neuroscience (2015, methodology): “This is important in light of the substantial variability between individual healthy brains [44, 79], even in identical twins [80].”
Activation in the neural network responsible for categorization and recognition reflects parameter changes (2011, background): “S1, the maps also pointed to other brain regions that past work suggests are associated with criterion setting and evidence accumulation in decision making, including areas of posterior parietal cortex as well as the caudate (27, 28, 31, 32, 34, 35).”
Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold (2011, background): “Cognitive systems involved in evaluating stimuli and adapting actions are known to be instantiated in cortico-striatal circuits, including mPFC and ST”
The expected value of control: An integrative theory of anterior cingulate cortex function (2013, neutral): “, and Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold.”
A computational model of inhibitory control in frontal cortex and basal ganglia. (2011, methodology): “…is equivalent to a speed–accuracy adjustment, as shown empirically to vary with presupplementory motor area (pre-SMA) ¡ striatal communication (Forstmann et al., 2010, 2008), where here FEF plays the role of pre-SMA for eye movements compared to manual movements studied in Forstmann et al.…”
An intracranial dissection of human escape circuits (2024, unknown): “Then, we investigated whether the neural activity in the reactive fear circuit during a fast attack would impact the cognitive fear circuit.”