Error-preceding brain activity reflects (mal-)adaptive adjustments of cognitive control: a modeling study

Errors in choice tasks are preceded by gradual changes in brain activity presumably related to fluctuations in cognitive control that promote the occurrence of errors. In the present paper, we use connectionist modeling to explore the hypothesis that these fluctuations reflect (mal-)adaptive adjustments of cognitive control. We considered ERP data from a study in which the probability of conflict in an Eriksen-flanker task was manipulated in sub-blocks of trials. Errors in these data were preceded by a gradual decline of N2 amplitude. After fitting a connectionist model of conflict adaptation to the data, we analyzed simulated N2 amplitude, simulated response times (RTs), and stimulus history preceding errors in the model, and found that the model produced the same pattern as obtained in the empirical data. Moreover, this pattern is not found in alternative models in which cognitive control varies randomly or in an oscillating manner. Our simulations suggest that the decline of N2 amplitude preceding errors reflects an increasing adaptation of cognitive control to specific task demands, which leads to an error when these task demands change. Taken together, these results provide evidence that error-preceding brain activity can reflect adaptive adjustments rather than unsystematic fluctuations of cognitive control, and therefore, that these errors are actually a consequence of the adaptiveness of human cognition

Reaction Time Variability in Children Is Specifically Associated With Attention Problems and Regional White Matter Microstructure

Background Increased intraindividual variability (IIV) in reaction times (RTs) has been suggested as a key cognitive and behavioral marker of attention problems, but findings for other dimensions of psychopathology are less consistent. Moreover, while studies have linked IIV to brain white matter microstructure, large studies testing the robustness of these associations are needed. Methods We used data from the Adolescent Brain Cognitive Development (ABCD) Study baseline assessment to test the associations between IIV and psychopathology (n = 8622, age = 8.9–11.1 years) and IIV and white matter microstructure (n = 7958, age = 8.9–11.1 years). IIV was investigated using an ex-Gaussian distribution analysis of RTs in correct response go trials in the stop signal task. Psychopathology was measured by the Child Behavior Checklist and a bifactor structural equation model was performed to extract a general p factor and specific factors reflecting internalizing, externalizing, and attention problems. To investigate white matter microstructure, fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were examined in 23 atlas-based tracts. Results Increased IIV in both short and long RTs was positively associated with the specific attention problems factor (Cohen’s d = 0.13 and d = 0.15, respectively). Increased IIV in long RTs was also positively associated with radial diffusivity in the left and right corticospinal tract (both tracts, d = 0.12). Conclusions Using a large sample and a data-driven dimensional approach to psychopathology, the results provide novel evidence for a small but specific association between IIV and attention problems in children and support previous findings on the relevance of white matter microstructure for IIV.publishedVersio

A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task

© Verbruggen et al. Response inhibition is essential for navigating everyday life. Its derailment is considered integral to numerous neurological and psychiatric disorders, and more generally, to a wide range of behavioral and health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some of these conditions. The stop-signal task is an essential tool to determine how quickly response inhibition is implemented. Despite its apparent simplicity, there are many features (ranging from task design to data analysis) that vary across studies in ways that can easily compromise the validity of the obtained results. Our goal is to facilitate a more accurate use of the stop-signal task. To this end, we provide 12 easy-to-implement consensus recommendations and point out the problems that can arise when they are not followed. Furthermore, we provide user-friendly open-source resources intended to inform statistical-power considerations, facilitate the correct implementation of the task, and assist in proper data analysis

Increase in short-term memory capacity induced by down-regulating individual theta frequency via transcranial alternating current stimulation

Working memory (WM) and short-term memory (STM) supposedly rely on the phase-amplitude coupling of neural oscillations in the theta and gamma frequency ranges. The ratio between the individually dominant gamma and theta frequencies is believed to determine an individual’s memory capacity. The aim of this study was to establish a causal relationship between the gamma/theta ratio and WM/STM capacity by means of transcranial alternating current stimulation (tACS). To achieve this, tACS was delivered at a frequency below the individual theta frequency. Thereby the individual ratio of gamma to theta frequencies was changed, resulting in an increase of STM capacity. Healthy human participants (N=33) were allocated to two groups, one receiving verum tACS, the other underwent a sham control protocol. The electroencephalogram (EEG) was measured before stimulation and analyzed with regard to the properties of phase-amplitude coupling between theta and gamma frequencies to determine individual stimulation frequencies. After stimulation, EEG was recorded again in order to find after-effects of tACS in the oscillatory features of the EEG. Measures of STM and WM were obtained before, during and after stimulation. Frequency spectra and behavioral data were compared between groups and different measurement phases. The tACS- but not the sham stimulated group showed an increase in STM capacity during stimulation. WM was not affected in either groups. An increase in task-related theta amplitude after stimulation was observed only for the tACS group. These augmented theta amplitudes indicated that the manipulation of individual theta frequencies was successful and caused the increase in STM capacity

When holding your horses meets the deer in the headlights: time-frequency characteristics of global and selective stopping under conditions of proactive and reactive control

The ability to inhibit unwanted thoughts or actions is crucial for successful functioning in daily life; however, this ability is often impaired in a number of psychiatric disorders. Despite the relevance of inhibition in everyday situations, current models of inhibition are rather simplistic and provide little generalizability especially in the face of clinical disorders. Thus, given the importance of inhibition for proper cognitive functioning, the need for a paradigm, which incorporates factors that will subsequently improve the current model for understanding inhibition, is of high demand. A popular paradigm used to assess motor inhibition, the stop-signal paradigm, can be modified to further advance the current conceptual model of inhibitory control and thus provide a basis for better understanding different facets of inhibition. Namely, in this study, we have developed a novel version of the stop-signal task to assess how preparation (that is, whether reactive or proactive) and selectivity of the stopping behavior effect well-known time-frequency characteristics associated with successful inhibition and concomitant behavioral measures. With this innovative paradigm, we demonstrate that the selective nature of the stopping task modulates theta and motoric beta activity and we further provide the first account of delta activity as an electrophysiological feature sensitive to both manipulations of selectivity and preparatory control

Variations in midcingulate morphology are related to ERP indices of cognitive control

The midcingulate cortex (MCC; often somewhat imprecisely referred to as dorsal or cognitive part of the anterior cingulate cortex or dACC) is a core region contributing to cognitive control. Neuroanatomical deviations in the midcingulate region have been observed in a variety of mental disorders. Even in healthy subjects a high degree of morphological variability is seen, for example concerning the degree of anterior midcingulate fissurization. To investigate the relationship between anterior midcingulate morphology and function, individuals with a leftward midcingulate folding asymmetry (LEFT) were compared to individuals showing a lower degree of fissurization or a rightward asymmetric folding (REST). Data from two experiments, a masked Stroop paradigm and a combined go/no-go and stop-signal task, are reported. With the masked Stroop task, LEFT subjects revealed a better processing of incongruent Stroop stimuli when compared to REST subjects. This was reflected in both augmented N400 responses as well as significantly higher accuracy scores. In addition, similar effects were found with event-related potentials from the combined go/no-go and stop-signal task. Here, the N200 but not the P300, which have been associated with conflict-related and evaluative processing stages, respectively, was found to be significantly increased with LEFT subjects. The results of this study foster an association of midcingulate fissurization with differences in behavior and neurophysiological functioning related to cognitive control

Sleep deprivation differentially affects subcomponents of cognitive control

Study Objectives Although sleep deprivation has long been known to negatively affect cognitive performance, the exact mechanisms through which it acts and what cognitive domains are affected most is still disputed. The current study provides a theory-driven approach to examine and explain the detrimental effects of sleep loss with a focus on attention and cognitive control. Methods Twenty-four participants (12 females; age: 24 ± 3 years) completed the experiment that involved laboratory-controlled over-night sleep deprivation and two control conditions, namely, a normally rested night at home and a night of sleep in the laboratory. Using a stop signal task in combination with electroencephalographic recordings, we dissociated different processes contributing to task performance such as sustained attention, automatic or bottom-up processing, and strategic or top-down control. At the behavioral level, we extracted reaction times, response accuracy, and markers of behavioral adjustments (post-error and post-stop slowing), whereas at the neural level event-related potentials (ERP) found in context of response inhibition (N2/P3) and error monitoring (ERN/Pe) were obtained. Results It was found that 24 hr of sleep deprivation resulted in declined sustained attention and reduced P300 and Pe amplitudes, demonstrating a gradual breakdown of top-down control. In contrast, N200 and ERN as well as the stop-signal reaction time showed higher resilience to sleep loss signifying the role of automatic processing. Conclusions These results support the notion that sleep deprivation is more detrimental to cognitive functions that are relatively more dependent on mental effort and/or cognitive capacity, as opposed to more automatic control processes.Funding Agencies|European Unions Horizon 2020 Research and Innovation Programme [720270]</p

Altered electrophysiological correlates of motor inhibition and performance monitoring in Tourette's syndrome

Objective: Whether motor inhibition capabilities are impaired in Tourette's syndrome (TS) remains inconclusive. The ability to suppress tics has been proposed to ensure normal motor control in uncomplicated, adult patients. The aim of the present study was to characterize cortical processes of motor inhibition and performance monitoring using event-related potentials (ERPs) elicited by a visual stop signal task. Methods: 15 TS patients and 15 matched healthy controls performed a stop signal task while multi-channel EEG were recorded. Results: The behavioral results revealed no significant differences in inhibitory capabilities between groups. The latency of the P3 was discriminative of inhibition success, with shorter latencies for successful inhibition in both groups. P3 amplitude was not altered by inhibition success, but significantly attenuated for TS patients. Furthermore, the amplitude of the error-related negativity (ERN) was elevated while the error positivity (PE) was diminished for TS patients. Conclusion: In the stop signal task performance is not altered in adult TS patients but ERPs related to motor inhibition and performance monitoring are altered suggesting potential compensatory mechanisms. Significance: The results support the hypothesis of compensatory cortical mechanisms to ensure sufficient motor performance. (C) 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved