scholarly journals Generalised inhibitory impairment to appetitive cues: From alcoholic to non-alcoholic visual stimuli

2019 ◽  
Author(s):  
Rebecca Monk ◽  
Adam Qureshi ◽  
Charlotte Rebecca Pennington ◽  
Iain Hamlin
Keyword(s):  
Reaction Time ◽  
Inhibitory Control ◽  
Visual Stimuli ◽  
Reaction Times ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Research Methodologies ◽  
Appetitive Stimuli ◽  
Stop Signal Reaction Time ◽  
Appetitive Cues

BackgroundPrior research demonstrates that individuals who consume alcohol show diminished inhibitory control towards alcohol-related cues. However, such research contrasts predominantly alcoholic appetitive cues with non-alcoholic, non-appetitive cues (e.g., stationary items). As such, it is not clear whether it is specifically the alcoholic nature of the cues that influences impairments in inhibitory control or whether more general appetitive processes are at play.AimsThe current study examined the hitherto untested assertion that the disinhibiting effects of alcohol-related stimuli might generalise to other appetitive liquid stimuli, but not to non-appetitive liquid stimuli.MethodFifty-nine participants (Mage = 21.63, SD = 5.85) completed a modified version of the Stop Signal Task, which exposed them to visual stimuli of three types of liquids: Alcoholic appetitive (e.g., wine), non-alcoholic appetitive (e.g., water) and non-appetitive (e.g., washing-up liquid).ResultsConsistent with predictions, Stop-signal reaction time was significantly longer for appetitive (alcoholic, non-alcoholic) compared to non-appetitive stimuli. Participants were also faster and less error-prone when responding to appetitive relative to non-appetitive stimuli on go-trials. There were no apparent differences in stop signal reaction times between alcoholic and non-alcoholic appetitive products.ConclusionsThese findings suggest that decreases in inhibitory control in response to alcohol-related cues might generalise to other appetitive liquids, possibly due to evaluative conditioning. Implications for existing research methodologies include the use of appetitive control conditions and the diversification of cues within tests of alcohol-related inhibitory control.

scholarly journals Is motor inhibition involved in the processing of sentential negation? An assessment via the Stop-Signal Task

2021 ◽  
Author(s):  
Martina Montalti ◽  
Marta Calbi ◽  
Valentina Cuccio ◽  
Maria Alessandra Umiltà ◽  
Vittorio Gallese
Keyword(s):  
Reaction Time ◽  
Language Processing ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Motor Inhibition ◽  
Good Tool ◽  
Scientific Debate ◽  
Sentential Negation ◽  
Stop Signal Reaction Time ◽  
Methodological Considerations

AbstractIn the last decades, the embodied approach to cognition and language gained momentum in the scientific debate, leading to evidence in different aspects of language processing. However, while the bodily grounding of concrete concepts seems to be relatively not controversial, abstract aspects, like the negation logical operator, are still today one of the main challenges for this research paradigm. In this framework, the present study has a twofold aim: (1) to assess whether mechanisms for motor inhibition underpin the processing of sentential negation, thus, providing evidence for a bodily grounding of this logic operator, (2) to determine whether the Stop-Signal Task, which has been used to investigate motor inhibition, could represent a good tool to explore this issue. Twenty-three participants were recruited in this experiment. Ten hand-action-related sentences, both in affirmative and negative polarity, were presented on a screen. Participants were instructed to respond as quickly and accurately as possible to the direction of the Go Stimulus (an arrow) and to withhold their response when they heard a sound following the arrow. This paradigm allows estimating the Stop Signal Reaction Time (SSRT), a covert reaction time underlying the inhibitory process. Our results show that the SSRT measured after reading negative sentences are longer than after reading affirmative ones, highlighting the recruitment of inhibitory mechanisms while processing negative sentences. Furthermore, our methodological considerations suggest that the Stop-Signal Task is a good paradigm to assess motor inhibition’s role in the processing of sentence negation.

scholarly journals Cognitive Modeling Suggests That Attentional Failures Drive Longer Stop-Signal Reaction Time Estimates in Attention Deficit/Hyperactivity Disorder

2019 ◽  
Vol 7 (4) ◽  
pp. 856-872 ◽  
Author(s):  
Alexander Weigard ◽  
Andrew Heathcote ◽  
Dóra Matzke ◽  
Cynthia Huang-Pollock
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Reaction Time ◽  
Attention Deficit ◽  
Cognitive Modeling ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Unbiased Estimation ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Stop Signal Reaction Time

Mean stop-signal reaction time (SSRT) is frequently employed as a measure of response inhibition in cognitive neuroscience research on attention deficit/hyperactivity disorder (ADHD). However, this measurement model is limited by two factors that may bias SSRT estimation in this population: (a) excessive skew in “go” RT distributions and (b) trigger failures, or instances in which individuals fail to trigger an inhibition process in response to the stop signal. We used a Bayesian parametric approach that allows unbiased estimation of the shape of entire SSRT distributions and the probability of trigger failures to clarify mechanisms of stop-signal task deficits in ADHD. Children with ADHD displayed greater positive skew than their peers in both go RT and SSRT distributions. However, they also displayed more frequent trigger failures, which appeared to drive ADHD-related stopping difficulties. Results suggest that performance on the stop-signal task among children with ADHD reflects impairments in early attentional processes, rather than inefficiency in the stop process.

scholarly journals Age-Related Structural and Functional Changes of the Hippocampus and the Relationship with Inhibitory Control

2020 ◽  
Vol 10 (12) ◽  
pp. 1013
Author(s):  
Sien Hu ◽  
Chiang-shan R. Li
Keyword(s):  
Reaction Time ◽  
Cognitive Aging ◽  
Gray Matter Volume ◽  
Stop Signal ◽  
Sequential Effect ◽  
Stop Signal Task ◽  
Functional Changes ◽  
Age Related ◽  
Stop Signal Reaction Time ◽  
Age Related Changes

Aging is associated with structural and functional changes in the hippocampus, and hippocampal dysfunction represents a risk marker of Alzheimer’s disease. Previously, we demonstrated age-related changes in reactive and proactive control in the stop signal task, each quantified by the stop signal reaction time (SSRT) and sequential effect computed as the correlation between the estimated stop signal probability and go trial reaction time. Age was positively correlated with the SSRT, but not with the sequential effect. Here, we explored hippocampal gray matter volume (GMV) and activation to response inhibition and to p(Stop) in healthy adults 18 to 72 years of age. The results showed age-related reduction of right anterior hippocampal activation during stop success vs. go trials, and the hippocampal activities correlated negatively with the SSRT. In contrast, the right posterior hippocampus showed higher age-related responses to p(Stop), but the activities did not correlate with the sequential effect. Further, we observed diminished GMVs of the anterior and posterior hippocampus. However, the GMVs were not related to behavioral performance or regional activities. Together, these findings suggest that hippocampal GMVs and regional activities represent distinct neural markers of cognitive aging, and distinguish the roles of the anterior and posterior hippocampus in age-related changes in cognitive control.

scholarly journals A stop-signal task for sheep: introduction and validation of a direct measure for the stop-signal reaction time

2017 ◽  
Vol 20 (4) ◽  
pp. 615-626 ◽  
Author(s):  
Franziska Knolle ◽  
Sebastian D. McBride ◽  
James E. Stewart ◽  
Rita P. Goncalves ◽  
A. Jennifer Morton
Keyword(s):  
Reaction Time ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Direct Measure ◽  
Stop Signal Reaction Time

Working Memory Load Selectively Influences Response Inhibition in a Stop Signal Task

2020 ◽  
pp. 003329412092827
Author(s):  
Leanne Boucher ◽  
Brandi Viparina ◽  
W. Matthew Collins
Keyword(s):  
Working Memory ◽  
Reaction Time ◽  
Memory Load ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Working Memory Load ◽  
Stop Signal Reaction Time ◽  
Load Conditions

Inhibitory control is a key executive function and has been studied extensively using the stop signal task. By applying a simple race model that posits an independent race between a GO process responsible for initiation of responses and a STOP process responsible for inhibition of responses, one can estimate how long it takes an individual to inhibit an ongoing response, the stop signal reaction time. Here, we examined how stop signal reaction time can be affected by working memory. Participants engaged in a dual task; they completed a stop signal task under low and high working memory load conditions. Working memory capacity was also measured. We found that the STOP process was lengthened in the high, compared to the low, working memory load condition, as evidenced by differences in stop signal reaction time. The GO process was unaffected and working memory capacity could not account for differences across the load conditions. These results indicate that inhibitory control can be influenced by placing demands on working memory.

Role of inhibitory processes in relapse prevention treatment

2016 ◽  
Vol 33 (S1) ◽  
pp. S44-S44
Author(s):  
G. Rudio
Keyword(s):  
Reaction Time ◽  
Alcohol Consumption ◽  
Attentional Bias ◽  
Inhibitory Control ◽  
Startle Reflex ◽  
Stop Signal ◽  
Affective Modulation ◽  
Frequent Relapses ◽  
Stop Signal Reaction Time ◽  
Alcohol Dependent

Alcohol dependence is a chronic disorder with frequent relapses during recovery. Most studies have pointed out that craving is the main process involved in relapse, but recently other factors have been implicated in it, such as attentional bias and impulsivity. Some authors consider that different stages could be involved in the relapse process, and each may be governed by different mechanisms: Attentional bias; motivational response to alcohol cues and inhibitory control.Motivationally salient cues attract and hold selective attention, and this “attentional bias, (AB)” is related to individual differences in appetitive and aversive motivation. In a recent review, attentional bias has been shown to be significantly present in alcohol-dependent and is associated with craving and risk to a relapse in alcohol consumption.In alcohol-dependent subjects, alcohol-related cues reach a very high motivational valence (Motivational response, MR), which, in effect, increases craving for alcohol and activates behavioral strategies towards alcohol intake. One method used to assess motivational valence of alcohol is the craving self-assessment. In addition, in recent years, the affective modulation of the startle reflex has been used as an objective measure of craving. It has been shown that subjects with a low baseline startle response when viewing alcohol-associated pictures are at major risk of relapse compared to those with increased reactions.Once alcohol craving has appeared, the subject will either drink or not, depending on his ability to resist his behavior towards alcohol consumption (impulsivity or inhibitory control, IC). Moreover, subjects that exhibit greater impulsivity are those more likely to relapse.Our group has recently conducted a study on a sample of 172 alcohol-dependent patients seen in outpatient therapeutic program during 12 weeks. All of them were assessed with the following measures: Attentional bias was assessed using the dot task, motivational response was evaluated using the affective modulation of the startle reflex paradigm, inhibitory control was assessed by the stop-signal reaction time task. Alcohol relapse variables were: relapse, days to the first relapse and days of accumulated abstinence.One of the most relevant results was that processes related to inhibitory control (Stop-signal reaction time and attentional bias) were the most relevant measures to explain variables related to relapse in alcohol consumption during the treatment period.Our results support the use of assessment strategies, therapeutic and pharmacological inhibtoria aimed at improving the ability of serious alcohol-dependent patients.Disclosure of interestThe author has not supplied his declaration of competing interest.

Proactive and Reactive Motor Inhibition in Top Athletes Versus Nonathletes

2018 ◽  
Vol 125 (2) ◽  
pp. 289-312 ◽  
Author(s):  
Damien Brevers ◽  
Etienne Dubuisson ◽  
Fabien Dejonghe ◽  
Julien Dutrieux ◽  
Mathieu Petieau ◽  
...  
Keyword(s):  
Reaction Time ◽  
Response Inhibition ◽  
Motor Response ◽  
Proactive Inhibition ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Reactive Inhibition ◽  
Stop Signal Reaction Time ◽  
Motor Response Inhibition ◽  
Inhibition Performance

We examined proactive (early restraint in preparation for stopping) and reactive (late correction to stop ongoing action) motor response inhibition in two groups of participants: professional athletes ( n = 28) and nonathletes ( n = 25). We recruited the elite athletes from Belgian national taekwondo and fencing teams. We estimated proactive and reactive inhibition with a modified version of the stop-signal task (SST) in which participants inhibited categorizing left/right arrows. The probability of the stop signal was manipulated across blocks of trials by providing probability cues from the background computer screen color (green = 0%, yellow =17%, orange = 25%, red = 33%). Participants performed two sessions of the SST, where proactive inhibition was operationalized with increased go-signal reaction time as a function of increased stop-signal probability and reactive inhibition was indicated by stop-signal reaction time latency. Athletes exhibited higher reactive inhibition performance than nonathletes. In addition, athletes exhibited higher proactive inhibition than nonathletes in Session 1 (but not Session 2) of the SST. As top-level athletes exhibited heightened reactive inhibition and were faster to reach and maintain consistent proactive motor response inhibition, these results confirm an evaluative process that can discriminate elite athleticism through a fine-grained analysis of inhibitory control.

scholarly journals Selective Inhibitory Control in Middle Childhood

2021 ◽  
Vol 18 (12) ◽  
pp. 6300
Author(s):  
Irene Rincón-Pérez ◽  
Alberto J. Sánchez-Carmona ◽  
Susana Arroyo-Lozano ◽  
Carlos García-Rubio ◽  
José Antonio Hinojosa ◽  
...  
Keyword(s):  
Inhibitory Control ◽  
Middle Childhood ◽  
Critical Period ◽  
Individual Variability ◽  
Global Strategy ◽  
Stop Signal ◽  
Task Demands ◽  
Stop Signal Task ◽  
Older Children ◽  
Stop Signal Reaction Time

The main aim of this study was to investigate the development of selective inhibitory control in middle childhood, a critical period for the maturation of inhibition-related processes. To this end, 64 children aged 6–7 and 56 children aged 10–11 performed a stimulus-selective stop-signal task, which allowed us to estimate not only the efficiency of response inhibition (the stop-signal reaction time or SSRT), but also the strategy adopted by participants to achieve task demands. We found that the adoption of a non-selective (global) strategy characterized by stopping indiscriminately to all stimuli decreased in older children, so that most of them were able to interrupt their ongoing responses selectively at the end of middle childhood. Moreover, compared to younger children, older children were more efficient in their ability to cancel an initiated response (indexed by a shorter SSRT), regardless of which strategy they used. Additionally, we found improvements in other forms of impulsivity, such as the control of premature responding (waiting impulsivity), and attentional-related processes, such as intra-individual variability and distractibility. The present results suggest that middle childhood represents a milestone in the development of crucial aspects of inhibitory control, including selective stopping.

scholarly journals Impulsivity and Inhibitory Control

1997 ◽  
Vol 8 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Gordon D. Logan ◽  
Russell J. Schachar ◽  
Rosemary Tannock
Keyword(s):  
Reaction Time ◽  
Inhibitory Control ◽  
Undergraduate Students ◽  
Choice Reaction Time ◽  
Impulse Control ◽  
Stop Signal ◽  
Impulsive Behavior ◽  
Stop Signal Reaction Time ◽  
Prepotent Responses

We report an experiment testing the hypothesis that impulsive behavior reflects a deficit in the ability to inhibit prepotent responses Specifically, we examined whether impulsive people respond more slowly to signals to inhibit (stop signals) than non-impulsive people In this experiment, 136 undergraduate students completed an impulsivity questionnaire and then participated in a stop-signal experiment, in which they performed a choice reaction time (go) task and were asked to inhibit their responses to the go task when they heard a stop signal The delay between the go signal and the stop signal was determined by a tracking procedure designed to allow subjects to inhibit on 50% of the stop-signal trials Reaction time to the go signal did not vary with impulsivity, but estimated stop-signal reaction time was longer in more impulsive subjects, consistent with the hypothesis and consistent with results from populations with pathological problems with impulse control

scholarly journals “My Brain Can Stop”: An ERP Study of Longitudinal Prediction of Inhibitory Control in Adolescence

2021 ◽  
Vol 11 (1) ◽  
pp. 100
Author(s):  
Tzlil Einziger ◽  
Mattan S. Ben-Shachar ◽  
Tali Devor ◽  
Michael Shmueli ◽  
Judith G. Auerbach ◽  
...  
Keyword(s):  
Inhibitory Control ◽  
Effortful Control ◽  
Familial Risk ◽  
Stop Signal ◽  
Event Related Potential ◽  
Stop Signal Task ◽  
Prospective Longitudinal Study ◽  
Hyperactivity Disorder ◽  
Stop Signal Reaction Time ◽  
Prospective Longitudinal

We examined the longitudinal predictors of electrophysiological and behavioral markers of inhibitory control in adolescence. Participants were 63 adolescent boys who have been followed since birth as part of a prospective longitudinal study on the developmental pathways to attention-deficit hyperactivity disorder (ADHD). At 17 years of age, they completed the stop-signal task (SST) while electroencephalography (EEG) was continuously recorded. Inhibitory control was evaluated by the stop-signal reaction time (SSRT) as well as by the amplitude of the event-related potential (ERP) component of N2 during successful inhibition. We found that higher inattention symptoms throughout childhood predicted reduced amplitude (i.e., less negative) of the N2 in adolescence. Furthermore, the N2 amplitude was longitudinally predicted by the early precursors of child familial risk for ADHD and early childhood temperament. Specifically, father’s inattention symptoms (measured in the child’s early infancy) and child’s effortful control at 36 months of age directly predicted the N2 amplitude in adolescence, even beyond the consistency of inattention symptoms throughout development. The SSRT was predicted by ADHD symptoms throughout childhood but not by the early precursors. Our findings emphasize the relevance of early familial and temperamental risk for ADHD to the prediction of a later dysfunction in inhibitory control.

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