Pre-stimulus EEG effects related to response speed, task switching and upcoming response hand

Event Abstract Back to Event Brain pathways underlying Response Inhibition and Response Caution Renate Thienel1*, Elise Mansfield1, Patrick S. Cooper1, Andrew Heathcote1, Birte Forstmann2, Pat Michie1, Gavin Cooper1 and Frini Karayanidis1 1 School of Psychology, University of Newcastle, Australia 2 University of Amsterdam, Netherlands Background: Our previous findings suggest that the striatum is instrumental in mediating response caution in a task switching paradigm (Mansfield et al., J. Neurosci 2011, 31:14688-92), and that structural integrity in two separate fronto-striatal networks are associated with adopting an overall more risky or more cautious response threshold. In the present study, we examine whether a similar network underlies response inhibition, as operationalized by a stop signal task. Response inhibition has been shown to be mediated by cortical and subcortical structures within the inferior frontal lobe and the subthalamic nucleus, respectively. We investigate whether structural integrity measures in these regions can explain the relationship between stop signal related event related potential (ERP) components and estimates of stop signal reaction time (SSRT). Finally the relationship between, and the differential structural pathways contributing to, response threshold adjustment (task-switching paradigm) and stop signal response time will be examined. Methods: Diffusion weighted Imaging (DWI), ERP and behavioural data has been collected in 16 healthy participants (24.5 years, 5 male). A correlational analysis was performed for the ERPs and the behavioural measures of both tasks (task switching and stop signal task). Tract based spatial statistics (TBSS) of the DWI data was performed to compare the white matter pathways associated with response thresholds adjustment (task-switching task), and response inhibition (stop-signal task) respectively. These regions were then used to explain variation in ERP data. Results/Discussion: The integrity within distinct structural pathways (DWI data) explained the relationship between (1) ERP measures and response threshold adjustment and (2) ERP measures and SSRTs. Distinct fronto-basal ganglia pathways mediated threshold setting and response suppression. Keywords: task-switching, stop signal task, DWI, fronto-striatal circuits, response inhibition Conference: ACNS-2013 Australasian Cognitive Neuroscience Society Conference, Clayton, Melbourne, Australia, 28 Nov - 1 Dec, 2013. Presentation Type: Poster Topic: Executive Processes Citation: Thienel R, Mansfield E, Cooper PS, Heathcote A, Forstmann B, Michie P, Cooper G and Karayanidis F (2013). Brain pathways underlying Response Inhibition and Response Caution. Conference Abstract: ACNS-2013 Australasian Cognitive Neuroscience Society Conference. doi: 10.3389/conf.fnhum.2013.212.00145 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 25 Sep 2013; Published Online: 25 Nov 2013. * Correspondence: Dr. Renate Thienel, School of Psychology, University of Newcastle, Newcastle, Australia, renate.thienel@newcastle.edu.au Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Renate Thienel Elise Mansfield Patrick S Cooper Andrew Heathcote Birte Forstmann Pat Michie Gavin Cooper Frini Karayanidis Google Renate Thienel Elise Mansfield Patrick S Cooper Andrew Heathcote Birte Forstmann Pat Michie Gavin Cooper Frini Karayanidis Google Scholar Renate Thienel Elise Mansfield Patrick S Cooper Andrew Heathcote Birte Forstmann Pat Michie Gavin Cooper Frini Karayanidis PubMed Renate Thienel Elise Mansfield Patrick S Cooper Andrew Heathcote Birte Forstmann Pat Michie Gavin Cooper Frini Karayanidis Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

New functional dissociations between prefrontal and parietal cortex during task switching: A combined fMRI and TMS study

Effects of associative learning on age differences in task-set switching

Switching between simple response-sets: inferences from the lateralized readiness potential

Age-related differences in task switching and task preparation: Exploring the role of task-set competition

How do top-down factors (e.g., task expectancy) and bottom-up factors (e.g., task recency) interact to produce an overall level of task readiness? This question was addressed by factorially manipulating task expectancy and task repetition in a task-switching paradigm. The effects of expectancy and repetition on response time tended to interact underadditively, but only because the traditional binary task-repetition variable lumps together all switch trials, ignoring variation in task lag. When the task-recency variable was scaled continuously, all 4 experiments instead showed additivity between expectancy and recency. The results indicated that expectancy and recency influence different stages of mental processing. One specific possibility (the configuration-execution model) is that task expectancy affects the time required to configure upcoming central operations, whereas task recency affects the time required to actually execute those central operations.

Response repetitions in auditory task switching: The influence of spatial response distance and of the response-stimulus interval

Switch probability context (in)sensitivity within the cognitive control network

The nature of switch cost: task set configuration or carry-over effect?

This electroencephalographic (EEG) study investigated the impact of between-task competition on intentional control in voluntary task switching. Anticipatory preparation for an upcoming task switch is a hallmark of top-down intentional control. Meanwhile, asymmetries in performance and voluntary choice when switching between tasks differing in relative strength reveal the effects of between-task competition, reflected in a surprising bias against switching to an easier task. Here, we assessed the impact of this bias on EEG markers of intentional control during preparation for an upcoming task switch. The results revealed strong and varied effects of between-task competition on EEG markers of global task preparation—a frontal contingent negative variation (CNV), a posterior slow positive wave, and oscillatory activity in the alpha band (8–12 Hz) over posterior scalp sites. In contrast, we observed no between-task differences in motor-specific task preparation, as indexed by the lateralized readiness potential and by motor-related amplitude asymmetries in the mu (9–13 Hz) and beta (18–26 Hz) frequency bands. Collectively, these findings demonstrate that between-task competition directly influences the formation of top-down intentions, not only their expression in overt behavior. Specifically, this influence occurs at the level of global task intention rather than the preparation of specific actions.

When switching between tasks, participants are sometimes required to use different response sets for each task. Thus, task switch and response set switch are confounded. In 5 experiments, the authors examined transitions of response within a linear 4-finger arrangement. A random baseline condition was compared with the cuing of specific response subsets grouped by hand or by finger equivalence, and these subsets were examined in both single task and task-switching designs. Results showed that part of the task switch cost is associated with switching between response sets. Furthermore, the analysis revealed a novel effect: When task switching and repetition trials are mixed, a bias towards switching the response and/or hand is found in task repetition trials. Response repetition is hindered when a task switch is expected, even for those trials when a switch of task does not occur. The results demonstrate executive processes involved in task set configuration closely depend on the motoric processing of the response set. The results are also important for current theories of task set control.

Recently,Task switching is an important paradigm for studying executive control.Switching cost refer to the performance differences in task-switch and task-repeat trials.Many issues and problems need further exploration.Theoretically,there is disagreement as to whether switch costs actually represents the task-set reconfiguration or the task-set inertia.Many studies have found that a prolonged preparation time reduces switch costs,which has been attributed to a task set reconfiguration process.However,unlike manipulations of preparation time,other studies have varied the predictability of task sequence and found that the preparation benefit was the same for switches and repetitions.The present study explored the interaction of preparation time and foreknowledge in task switching.In addition,in order to study the effects of preparation time predictability on the task switching,the preparation time(CSI) was manipulated by blocked or randomized within subjects. Two explicit task-cuing experiments were used with the same materials and procedure,preparation times of 150ms and 900ms,and foreknowledge of the full-and the partial-foreknowledge.The full-foreknowledge specified both task transition and task identity.The partial-foreknowledge specified only task transition information.The response-stimulus interval was constant at 800ms,to control the amount of repetition priming from the previous trial.To examine the effect of preparation time predictability on the preparation effects of switch costs,in experiment 1,the preparation time was blocked within subjects,and in experiment 2,the preparation time was randomized within subjects.The RT was measured as the main index. Repeated-measure ANOVA was performed for experiment 1 and 2.The results revealed that:(1) Under the conditions of preparation time predictability and unpredictability,the interaction between the preparation time and the foreknowledge was significant.Under the condition of predictability,the RT of repeat task and switch-to task trials decreased with increasing preparation time,but there are no significant differences in switch-to cost;the RT of switch-away task is affected by preparation time,and switch-away cost advanced with prolonging preparation time.Under the condition of unpredictability,the RT of three types of tasks reduced with rising preparation time,but both of switch-to and switch-away cost went up.(2) Compared to the switch-to task,the RT and switch cost of the switch-away task were longer.(3) Under of the two conditions,there is not the preparation effect.The experimental results suggest that the switch cost may represent the preparation of the new task set and a residual component,and the task switching was not effected by the predictability of the preparation time.

Reconfiguration of response rule is more difficult than that of task goal: Behavior and electrophysiological evidence

Response inhibition in the task-switching paradigm

Adaptive behavior is central to coping with dynamic environmental changes. Although functional neuroanatomical and neurophysiological considerations suggest that information must be exchanged during adaptive behavior and similar predictions can be derived from cognitive science concepts, attempts to delineate the directed information transfer in theta and alpha networks during behavioral adaptation are rare. Using task switching as an experimental vehicle, we examined directed communication in theta and alpha band networks in n = 51 healthy individuals. We combined EEG-beamforming with an artificial neural network-based estimation of linear and nonlinear directed information transfer between cortical regions. We show increased theta and alpha band activities during switch trials, which aligns with the cognitive control demands of task switching. EEG-beamforming indicated oscillatory modulations in distinct brain-wide networks depending on frequency and time window, with theta and alpha activities strongly tied to task-set reconfiguration and inhibitory control. Directed connectivity analysis revealed overlapping alpha and theta clusters, highlighting their interplay in cognitive flexibility. Directed communication in a cortical alpha band network involving fronto-temporal, temporoparietal, occipital, and precentral activity clusters was critical when preparing for task switching. We observed a bidirectional information transfer across four neuroanatomical clusters with more substantial connectivity modulations correlating with better task performance. These findings emphasize the importance of directed information transfer in a cortical alpha band activity network in supporting adaptive behavior.