scholarly journals Changes in attractor dynamics predict altered perceptual decision making with dorsolateral prefrontal tDCS

2016 ◽  
Author(s):  
James J Bonaiuto ◽  
Archy de Berker ◽  
Sven Bestmann
Keyword(s):  
Decision Making ◽  
Computational Modeling ◽  
Brain Stimulation ◽  
Perceptual Decision Making ◽  
Noninvasive Brain Stimulation ◽  
Perceptual Decision ◽  
Left Dlpfc ◽  
Model Predictions ◽  
Dorsolateral Prefrontal

The left dorsolateral prefrontal cortex (dlPFC) has been linked to the accumulation and comparison of perceptual evidence for decision making independent of sensory and response modalities. We investigated the possible neural dynamics underlying the role of dlPFC in perceptual decision making, through a combination of noninvasive neurostimulation in humans and computational modeling. First, we used an established and biophysically realistic model of a decision making network that employs competition between neural populations. Simulation of depolarizing noninvasive brain stimulation in this model decreased decision time, while hyperpolarizing stimulation increased it. This behavioral effect was caused by an increase in the rate of neural activity integration via recurrent connections, as well as changes in the susceptibility of the network to noisy background inputs which modulated population firing rate differences prior to the onset of the stimulus. These pre-stimulus differences biased the response to one or the other option, thus speeding or slowing decisions. We then tested these model predictions in healthy participants performing a perceptual decision making task while receiving transcranial direct current stimulation (tDCS) over the left dlPFC, analogous to our simulated network stimulation. We found a striking match between model predictions and experimental results: depolarizing (inward) currents reduced and hyperpolarizing (outward) currents increased response times, but accuracy remained unaffected. Our results provide interventional evidence for the role of left dlPFC in perceptual decision making, and suggest that this region integrates and compares sensory evidence through competitive interactions between pyramidal cell populations which are selective for each response option. Mechanistically, our model suggests that stimulation of this region changes the rate at which evidence can be accumulated through recurrent activity and its susceptibility to background noise. More generally, our approach demonstrates that a linkage between computational modeling and noninvasive brain stimulation allows mechanistic accounts of brain function to be causally tested.

scholarly journals Causal Role of Dorsolateral Prefrontal Cortex in Human Perceptual Decision Making

2011 ◽  
Vol 21 (11) ◽  
pp. 980-983 ◽  
Author(s):  
Marios G. Philiastides ◽  
Ryszard Auksztulewicz ◽  
Hauke R. Heekeren ◽  
Felix Blankenburg
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Dorsolateral Prefrontal Cortex ◽  
Causal Role ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Dorsolateral Prefrontal

Noninvasive brain stimulation for patients with a disorder of consciousness: a systematic review and meta-analysis

2020 ◽  
Vol 31 (8) ◽  
pp. 905-914 ◽  
Author(s):  
Yali Feng ◽  
Jiaqi Zhang ◽  
Yi Zhou ◽  
Zhongfei Bai ◽  
Ying Yin
Keyword(s):  
Brain Stimulation ◽  
Meta Analysis ◽  
Minimally Conscious State ◽  
Conscious State ◽  
Primary Outcome Measure ◽  
Noninvasive Brain Stimulation ◽  
Disorder Of Consciousness ◽  
Left Dlpfc ◽  
Dorsolateral Prefrontal ◽  
Minimally Conscious

AbstractNoninvasive brain stimulation (NIBS) techniques have been used to facilitate the recovery from prolonged unconsciousness as a result of brain injury. The aim of this study is to systematically assess the effects of NIBS in patients with a disorder of consciousness (DOC). We searched four databases for any randomized controlled trials on the effect of NIBS in patients with a DOC, which used the JFK Coma Recovery Scale-Revised (CRS-R) as the primary outcome measure. A random-effects meta-analysis was conducted to pool effect sizes. Fourteen studies with 273 participants were included in this review, of which 12 studies with sufficient data were included in the meta-analysis. Our meta-analysis showed a significant effect on increasing CRS-R scores in favor of real stimulation as compared to sham (Hedges’ g = 0.522; 95% confidence interval [CI], 0.318–0.726; P < 0.0001, I2 = 0.00%). Subgroup analysis demonstrated that only anodal transcranial direct current stimulation (tDCS) of the left dorsolateral prefrontal cortex (DLPFC) significantly enhances the CRS-R scores in patients with a DOC, as compared to sham (Hedges’ g = 0.703; 95% CI, 0.419–0.986; P < 0.001), and this effect was predominant in patients in a minimally conscious state (MCS) (Hedges’ g = 0.815; 95% CI, 0.429–1.200; P < 0.001). Anodal tDCS of the left DLPFC appears to be an effective approach for patients with MCS.

scholarly journals Reduction of Influence of Task Difficulty on Perceptual Decision Making by STN Deep Brain Stimulation

2013 ◽  
Vol 23 (17) ◽  
pp. 1681-1684 ◽  
Author(s):  
Nikos Green ◽  
Rafal Bogacz ◽  
Julius Huebl ◽  
Ann-Kristin Beyer ◽  
Andrea A. Kühn ◽  
...  
Keyword(s):  
Decision Making ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Task Difficulty ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Deep Brain

scholarly journals P2-16: Dual-Bound Model and the Role of Time Bound in Perceptual Decision Making

i-Perception ◽  
10.1068/if676 ◽  
2012 ◽  
Vol 3 (9) ◽  
pp. 676-676
Author(s):  
Daeseob Lim ◽  
Hansem Sohn ◽  
Sang-Hun Lee
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Dual Bound

Effects of deep brain stimulation of the subthalamic nucleus on perceptual decision making

Neuroscience ◽  
2017 ◽  
Vol 343 ◽  
pp. 140-146 ◽  
Author(s):  
Tino Zaehle ◽  
Caroline Wagenbreth ◽  
Jürgen Voges ◽  
Hans-Jochen Heinze ◽  
Imke Galazky
Keyword(s):  
Decision Making ◽  
Deep Brain Stimulation ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Deep Brain ◽  
Stimulation Of

P31 The effect of deep brain stimulation on perceptual decision making

Basal Ganglia ◽  
2011 ◽  
Vol 1 (2) ◽  
pp. 116-117
Author(s):  
Green Nikos ◽  
Beyer Ann Kristin ◽  
Bogacz Rafal ◽  
Hübl Julius ◽  
Kühn A. Andrea ◽  
...  
Keyword(s):  
Decision Making ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Deep Brain

scholarly journals Trial-by-trial fluctuations in amygdala activity track motivational enhancement of desirable sensory evidence during perceptual decision-making

2021 ◽  
Author(s):  
Ren Paterson ◽  
Yizhou Lyu ◽  
Yuan Chang Leong
Keyword(s):  
Decision Making ◽  
Sensory Processing ◽  
Behavior Modeling ◽  
Perceptual Decision Making ◽  
Sports Fans ◽  
Perceptual Decision ◽  
Amygdala Activity ◽  
Sensory Evidence ◽  
Human Participants

AbstractPeople are biased towards seeing outcomes that they are motivated to see. For example, sports fans of opposing teams often perceive the same ambiguous foul in favor of the team they support. Here, we test the hypothesis that amygdala-dependent allocation of visual attention facilitates motivational biases in perceptual decision-making. Human participants were rewarded for correctly categorizing an ambiguous image into one of two categories while undergoing fMRI. On each trial, we used a financial bonus to motivate participants to see one category over another. The reward maximizing strategy was to perform the categorization task accurately, but participants were biased towards categorizing the images as the category we motivated them to see. Heightened amygdala activity preceded motivation consistent categorizations, and participants with higher amygdala activation exhibited stronger motivational biases in their perceptual reports. Trial-by-trial amygdala activity was associated with stronger enhancement of neural activity encoding desirable percepts in sensory cortices, suggesting that amygdala-dependent effects on perceptual decisions arose from biased sensory processing. Analyses using a drift diffusion model provide converging evidence that trial-by-trial amygdala activity was associated with stronger motivational biases in the accumulation of sensory evidence. Prior work examining biases in perceptual decision-making have focused on the role of frontoparietal regions. Our work highlights an important contribution of the amygdala. When people are motivated to see one outcome over another, the amygdala biases perceptual decisions towards those outcomes.Significance StatementForming accurate perceptions of the environment is essential for adaptive behavior. People however are biased towards seeing what they want to see, giving rise to inaccurate perceptions and erroneous decisions. Here, we combined behavior, modeling, and fMRI to show that the bias towards seeing desirable percepts is related to trial-by-trial fluctuations in amygdala activity. In particular, during moments with higher amygdala activity, sensory processing is biased in favor of desirable percepts, such that participants are more likely to see what they want to see. These findings highlight the role of the amygdala in biasing visual perception, and shed light on the neural mechanisms underlying the influence of motivation and reward on how people decide what they see.

scholarly journals Transcranial Direct Current Stimulation Does Not Influence the Speed–Accuracy Tradeoff in Perceptual Decision-making: Evidence from Three Independent Studies

2016 ◽  
Vol 28 (9) ◽  
pp. 1283-1294 ◽  
Author(s):  
Gilles de Hollander ◽  
Ludovica Labruna ◽  
Roberta Sellaro ◽  
Anne Trutti ◽  
Lorenza S. Colzato ◽  
...  
Keyword(s):  
Decision Making ◽  
Direct Current ◽  
Transcranial Direct Current Stimulation ◽  
Response Threshold ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Direct Current Stimulation ◽  
Speed Accuracy ◽  
Accuracy Tradeoff

In perceptual decision-making tasks, people balance the speed and accuracy with which they make their decisions by modulating a response threshold. Neuroimaging studies suggest that this speed–accuracy tradeoff is implemented in a corticobasal ganglia network that includes an important contribution from the pre-SMA. To test this hypothesis, we used anodal transcranial direct current stimulation (tDCS) to modulate neural activity in pre-SMA while participants performed a simple perceptual decision-making task. Participants viewed a pattern of moving dots and judged the direction of the global motion. In separate trials, they were cued to either respond quickly or accurately. We used the diffusion decision model to estimate the response threshold parameter, comparing conditions in which participants received sham or anodal tDCS. In three independent experiments, we failed to observe an influence of tDCS on the response threshold. Additional, exploratory analyses showed no influence of tDCS on the duration of nondecision processes or on the efficiency of information processing. Taken together, these findings provide a cautionary note, either concerning the causal role of pre-SMA in decision-making or on the utility of tDCS for modifying response caution in decision-making tasks.

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