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1

Kindt, Merel. "Cognitive inhibition in phobia." British Journal of Clinical Psychology 37, no. 1 (February 1998): 103–6. http://dx.doi.org/10.1111/j.2044-8260.1998.tb01283.x.

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2

Wood, Jacqueline, Andrew Mathews, and Tim Dalgleish. "Anxiety and cognitive inhibition." Emotion 1, no. 2 (2001): 166–81. http://dx.doi.org/10.1037/1528-3542.1.2.166.

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3

Joormann, Jutta, K. Lira Yoon, and Ulrike Zetsche. "Cognitive inhibition in depression." Applied and Preventive Psychology 12, no. 3 (December 2007): 128–39. http://dx.doi.org/10.1016/j.appsy.2007.09.002.

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4

Johnson, Sheri L. "Cognitive inhibition across psychopathologies." Applied and Preventive Psychology 12, no. 3 (December 2007): 97–98. http://dx.doi.org/10.1016/j.appsy.2007.11.001.

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5

Loyant, Louise, Bridget M. Waller, Jérôme Micheletta, and Marine Joly. "Validation of a battery of inhibitory control tasks reveals a multifaceted structure in non-human primates." PeerJ 10 (February 9, 2022): e12863. http://dx.doi.org/10.7717/peerj.12863.

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Inhibitory control, the ability to override an inappropriate prepotent response, is crucial in many aspects of everyday life. However, the various paradigms designed to measure inhibitory control often suffer from a lack of systematic validation and have yielded mixed results. Thus the nature of this ability remains unclear, is it a general construct or a family of distinct sub-components? Therefore, the aim of this study was first to demonstrate the content validity and the temporal repeatability of a battery of inhibitory control tasks. Then we wanted to assess the contextual consistency of performances between these tasks to better understand the structure of inhibitory control. We tested 21 rhesus macaques (Macaca mulatta, 12 males, nine females) in a battery of touchscreen tasks assessing three main components of inhibitory control: inhibition of a distraction (using a Distraction task), inhibition of an impulsive action (using a Go/No-go task) and inhibition of a cognitive set (using a Reversal learning task). All tasks were reliable and effective at measuring the inhibition of a prepotent response. However, while there was consistency of performance between the inhibition of a distraction and the inhibition of an action, representing a response-driven basic form of inhibition, this was not found for the inhibition of a cognitive set. We argue that the inhibition of a cognitive set is a more cognitively demanding form of inhibition. This study gives a new insight in the multifaceted structure of inhibitory control and highlights the importance of a systematic validation of cognitive tasks in animal cognition.
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6

Neethi NV, Neethi NV, and Johnson Alex. "Behavioral Inhibition and Cognitive Emotion Regulation in Attention Deficit Hyperactivity Disorder." Indian Journal of Applied Research 3, no. 2 (October 1, 2011): 333–35. http://dx.doi.org/10.15373/2249555x/feb2013/114.

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7

Yeigh, Tony. "Cognitive Inhibition and Cognitive Load: A Moderation Hypothesis." International Journal for Cross-Disciplinary Subjects in Education 5, no. 3 (September 1, 2014): 1744–52. http://dx.doi.org/10.20533/ijcdse.2042.6364.2014.0243.

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8

García-Barroso, Carolina, Ana Ugarte, Martín Martínez, Alberto J. Rico, José Luis Lanciego, Rafael Franco, Julen Oyarzabal, Mar Cuadrado-Tejedor, and Ana García-Osta. "Phosphodiesterase Inhibition in Cognitive Decline." Journal of Alzheimer's Disease 42, s4 (October 27, 2014): S561—S573. http://dx.doi.org/10.3233/jad-141341.

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9

Moritz, Steffen, and Reinhard Mass. "Reduced cognitive inhibition in schizotypy." British Journal of Clinical Psychology 36, no. 3 (September 1997): 365–76. http://dx.doi.org/10.1111/j.2044-8260.1997.tb01244.x.

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10

Karray Khemiri, Amira, and Daniel Derivois. "L’addiction à l’adolescence : entre affect et cognition. Symbolisation, inhibition cognitive et alexithymie." Drogues, santé et société 10, no. 2 (January 16, 2013): 15–50. http://dx.doi.org/10.7202/1013478ar.

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Les conduites addictives sont fréquentes chez les adolescents. La littérature montre chez cette population des distorsions cognitives expliquant les tendances impulsives, l’intolérance à la frustration, l’incapacité à contenir son ressenti. La psychologie cognitive pointe la défaillance du contrôle cognitif, à l’image de la défaillance du contrôle de l’action, de l’impulsion et de tout ce qui est en dehors du contrôle mental. La psychopathologie psychodynamique considère ces mêmes conduites comme modalités privilégiées de l’agir, reflétant un fonctionnement d’anti-représentation, de défaillance dans la symbolisation. Cette dernière s’associe aux difficultés d’élaboration des affects et duplique ainsi en termes cognitivistes les caractéristiques de l’alexithymie. Le fonctionnement cognitivo-émotionnel et affectif de l’adolescent et du jeune adulte toxicomane sera étudié. À travers une revue synthétique de la littérature, les auteurs se pencheront sur l’adjonction d’un déficit de l’inhibition cognitive à une défaillance symbolique dans la pathologie addictive de l’adolescence et du jeune adulte.
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Zancada-Menéndez, Clara, Patricia Sampedro-Piquero, Azucena Begega, Laudino López, and Jorge Luis Arias. "Attention and inhibition in Mild Cognitive Impairment and Alzheimer's Disease." Escritos de Psicología - Psychological Writings 6, no. 3 (December 31, 2013): 43–50. http://dx.doi.org/10.24310/espsiescpsi.v6i3.13288.

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Mild cognitive impairment is understood as a cognitive deficit of insufficient severity to fulfil the criteria for Alzheimer’s disease. Many studies have attempted to identify which cognitive functions are most affected by this type of impairment and which is the most sensitive neuropsychological test for early detection. This study investigated sustained and selective attention, processing speed, and the inhibition process using a sample of people divided into three groups mild cognitive impairment, Alzheimer disease and cognitively healthy controls selected and grouped based on their scores in the Mini Mental State Examination and Cambridge Cognitive Examination-revised. Three tests from the Cambridge Neuropsychological Test Automated Battery (Motor Screening Task, Stop Signal Task and Reaction time) were used as well as the d2 attention test. The results show that that participants with mild cognitive impairment and Alzheimer disease showed lower levels of concentration compared with the cognitively healthy controls group in the d2 test and longer reaction times in the Cambridge Neuropsychological Test Automated Battery, although the differences were not marked in the latter test. The impairments in basic cognitive processes, such as reaction time and sustained attention, indicate the need to take these functions into account in the test protocols when discriminating between normal aging and early and preclinical dementia processes.
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12

Oosterman, Joukje M., Juliane Traxler, and Miriam Kunz. "The Influence of Executive Functioning on Facial and Subjective Pain Responses in Older Adults." Behavioural Neurology 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1984827.

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Cognitive decline is known to reduce reliability of subjective pain reports. Although facial expressions of pain are generally considered to be less affected by this decline, empirical support for this assumption is sparse. The present study therefore examined how cognitive functioning relates to facial expressions of pain and whether cognition acts as a moderator between nociceptive intensity and facial reactivity. Facial and subjective responses of 51 elderly participants to mechanical stimulation at three intensities levels (50 kPa, 200 kPa, and 400 kPa) were assessed. Moreover, participants completed a neuropsychological examination of executive functioning (planning, cognitive inhibition, and working memory), episodic memory, and psychomotor speed. The results showed that executive functioning has a unique relationship with facial reactivity at low pain intensity levels (200 kPa). Moreover, cognitive inhibition (but not other executive functions) moderated the effect of pressure intensity on facial pain expressions, suggesting that the relationship between pressure intensity and facial reactivity was less pronounced in participants with high levels of cognitive inhibition. A similar interaction effect was found for cognitive inhibition and subjective pain report. Consequently, caution is needed when interpreting facial (as well as subjective) pain responses in individuals with a high level of cognitive inhibition.
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13

Krämer, Ulrike M., Robert T. Knight, and Thomas F. Münte. "Electrophysiological Evidence for Different Inhibitory Mechanisms When Stopping or Changing a Planned Response." Journal of Cognitive Neuroscience 23, no. 9 (September 2011): 2481–93. http://dx.doi.org/10.1162/jocn.2010.21573.

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People are able to adapt their behavior to changing environmental contingencies by rapidly inhibiting or modifying their actions. Response inhibition is often studied in the stop-signal paradigm that requires the suppression of an already prepared motor response. Less is known about situations calling for a change of motor plans such that the prepared response has to be withheld but another has to be executed instead. In the present study, we investigated whether electrophysiological data can provide evidence for distinct inhibitory mechanisms when stopping or changing a response. Participants were instructed to perform in a choice RT task with two classes of embedded critical trials: Stop signals called for the inhibition of any response, whereas change signals required participants to inhibit the prepared response and execute another one instead. Under both conditions, we observed differences in go-stimulus processing, suggesting a faster response preparation in failed compared with successful inhibitions. In contrast to stop-signal trials, changing a response did not elicit the inhibition-related frontal N2 and did not modulate the parietal mu power decrease. The results suggest that compared with changing a response, additional frontal and parietal regions are engaged when having to inhibit a response.
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Béraud-Peigné, Néva, Alexandra Perrot, and Pauline Maillot. "Wireless Lighting System: A New Tool for Assessing Cognitive Functions in the Elderly." Behavioral Sciences 13, no. 11 (November 17, 2023): 943. http://dx.doi.org/10.3390/bs13110943.

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Studies on the effects of aging on cognition have been using the same cognitive tests for decades. A Wireless Lighting System (WLS) could be used to assess cognitive functions in a physically active situation, making the assessment of cognition less isolated and more ecological. This pilot study aimed to evaluate the potential of a WLS for assessing older adults’ cognitive functions. It was set up with 15 young (M = 23.47 years old) and 18 older adults (M = 71.44 years old). Their performances were recorded on three WLS tests, designed with the Witty SEM system to assess four main cognitive functions (i.e., inhibition, flexibility, visuospatial short-term and working memory), as well as on three traditional (TRAD) tests (Spatial Span Test, Stroop Test, Trail Making Test). The results show a significant difference between the YOUNG and OLD groups on all WLS test measures (except for WLS flexibility), as well as on all TRAD measures. Additionally, for the OLD group, there were significant correlations between WLS and TRAD test results (r = −0.49 for two measures of inhibition to r = −0.80 for two other measures of inhibition), except for visuospatial short-term memory. However, there was no significant correlation for the YOUNG group (ρ = −0.27 for inhibition to r = 0.45 for visuospatial short-term memory). These WLS tests were valid for assessing the cognitive functions (i.e., flexibility, visuospatial short-term and working memory, inhibition) of older adults and were sensitive to aging.
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15

Velichkovsky, B. B., D. V. Tatarinov, A. A. Khlebnikova, I. F. Roshchina, N. D. Selezneva, and S. I. Gavrilova. "Distracter inhibition in mild cognitive impairment." Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 121, no. 1 (2021): 71. http://dx.doi.org/10.17116/jnevro202112101171.

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16

LIU, Xiping, Huan ZHANG, Weihai TANG, and Hong FENG. "The Cognitive Mechanism of Collaborative Inhibition." Advances in Psychological Science 21, no. 5 (December 10, 2013): 792–99. http://dx.doi.org/10.3724/sp.j.1042.2013.00792.

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17

Richard-Devantoy, Stéphane, Cedric Annweiler, Didier Le Gall, Jean-Bernard Garré, Jean-Pierre Olié, and Olivier Beauchet. "Cognitive Inhibition in Suicidal Depressed Elderly." Journal of Clinical Psychiatry 72, no. 06 (June 15, 2011): 871–72. http://dx.doi.org/10.4088/jcp.10l06797.

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18

Richard-Devantoy, S., C. Annweiler, O. Beauchet, V. Camus, D. Le Gall, and J. B. Garré. "Cognitive inhibition in suicidal depressed elderly." European Psychiatry 26, S2 (March 2011): 1640. http://dx.doi.org/10.1016/s0924-9338(11)73344-2.

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RationaleDeficits in executive functions may play a leading role in late-life suicide behaviours.ObjectiveTo determine whether executive functions, and more specifically cognitive inhibition, could be associated with increased risk of suicidal behaviours among depressed elderly individuals.MethodsWe compared 10 depressed suicide attempters aged 65 and older with 10 depressed suicide non-attempters matched for age, gender and education. To assess cognitive inhibition, we used neutral material, in the form of the Modified Card Sorting Test (MCST), Go-No-Go task (GNG) and Stroop test (ST). The Brixton Spatial Anticipation test (BSA), the dual-task performance and verbal fluencies test were also used to assess flexibility, planning tasks and memory.ResultsSuicidal (mean, 75.30 years; 70% female) and non-suicidal (mean, 72.90 years; 70% female) depressed groups were comparable in terms of burden of physical illness and severity of depression according to the Hamilton Depression Scale (mean score 27.90, p = 0.529). Suicide attempters showed greater impairments in cognitive inhibition as illustrated by significant between-group differences in the number of MCST errors (p = 0.023) and MCST preservative errors (p = 0.035), and by the trend of worse performance on GNG (p = 0.052). No significant differences were found in the scores on ST, BSA, dual-task performance and in semantic or phonemic verbal fluencies. Furthermore, suicide attempt was also associated with GNG score (adjusted Odds Ratio = 0.25 [95CI = 0.07–0.95], p = 0.041) after adjustment for age.ConclusionsOur case-control study shows that poor cognitive inhibition is associated with suicidal behaviours in late-life depression.
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19

Williams, L. M. "Cognitive Inhibition and Schizophrenic Symptom Subgroups." Schizophrenia Bulletin 22, no. 1 (January 1, 1996): 139–51. http://dx.doi.org/10.1093/schbul/22.1.139.

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20

SHINOHARA, Kazumitsu, Fei TIEN, and Takahiko KIMURA. "Automotive pedal application and cognitive inhibition." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (September 11, 2012): 1EVA44. http://dx.doi.org/10.4992/pacjpa.76.0_1eva44.

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21

Dienes, Zoltán, Elizabeth Brown, Sam Hutton, Irving Kirsch, Giuliana Mazzoni, and Daniel B. Wright. "Hypnotic suggestibility, cognitive inhibition, and dissociation." Consciousness and Cognition 18, no. 4 (December 2009): 837–47. http://dx.doi.org/10.1016/j.concog.2009.07.009.

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22

Magnon, Valentin, Guillaume T. Vallet, Frédéric Dutheil, and Catherine Auxiette. "Sedentary Lifestyle Matters as Past Sedentariness, Not Current Sedentariness, Predicts Cognitive Inhibition Performance among College Students: An Exploratory Study." International Journal of Environmental Research and Public Health 18, no. 14 (July 19, 2021): 7649. http://dx.doi.org/10.3390/ijerph18147649.

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Background: Currently, sedentariness is assessed over a short period of time, thus it is difficult to study its cognitive implications. To investigate the cognitive consequences of a sedentary lifestyle, the past level (i.e., the sedentary time accumulated over the years) and current level of sedentariness should be considered. This pilot study aimed to investigate the negative association between a sedentary lifestyle and cognition by considering both the current and past sedentariness. It was expected that the physical activity level moderates the potential negative association between sedentariness and cognition. Methods: 52 college students (Mage = 20.19, SDage = 2; 36 women) participated in the study. Current sedentariness (ratio of sedentary time in the last year), past sedentariness (ratio of sedentary time accumulated in previous years), and physical activity (ratio of time spent in physical activity in years) were assessed using a questionnaire. Cognitive inhibition, cognitive flexibility, and working memory updating were measured through three specific tests. Results: Past sedentariness significantly explained the inhibition performance when controlled for physical activity, whereas current sedentariness did not. More precisely, past sedentariness only negatively predicted cognitive inhibition when the physical activity level was low (β = −3.15, z(48) = −2.62, p = 0.01). Conclusions: The impact of sedentariness on cognitive functioning might only be revealed when past sedentariness and physical activity are controlled.
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Mirabella, Giovanni. "Beyond Reactive Inhibition: Unpacking the Multifaceted Nature of Motor Inhibition." Brain Sciences 13, no. 5 (May 16, 2023): 804. http://dx.doi.org/10.3390/brainsci13050804.

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Torres-Acosta, Noel, James H. O’Keefe, Evan L. O’Keefe, Richard Isaacson, and Gary Small. "Therapeutic Potential of TNF-α Inhibition for Alzheimer’s Disease Prevention." Journal of Alzheimer's Disease 78, no. 2 (November 10, 2020): 619–26. http://dx.doi.org/10.3233/jad-200711.

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Background: Alzheimer’s disease (AD) is increasingly prevalent and over 99% of drugs developed for AD have failed in clinical trials. A growing body of literature suggests that potent inhibitors of tumor necrosis factor-α (TNF-α) have potential to improve cognitive performance. Objective: In this review, we summarize the evidence regarding the potential for TNF-α inhibition to prevent AD and improve cognitive function in people at risk for dementia. Methods: We conducted a literature review in PubMed, screening all articles published before July 7, 2019 related to TNF blocking agents and curcumin (another TNF-α inhibitor) in the context of AD pathology. The keywords in the search included: AD, dementia, memory, cognition, TNF-α, TNF inhibitors, etanercept, infliximab, adalimumab, golimumab, and curcumin. Results: Three large epidemiology studies reported etanercept treated patients had 60 to 70% lower odds ratio (OR) of developing AD. Two small-randomized control trials (RCTs) demonstrated an improvement in cognitive performance for AD patients treated with etanercept. Studies using animal models of dementia also reported similar findings with TNF blocking agents (etanercept, infliximab, adalimumab, Theracurmin), which appeared to improve cognition. A small human RCT using Theracurmin, a well-absorbed form of curcumin that lowers TNF-α, showed enhanced cognitive performance and decreased brain levels of amyloid-β plaque and tau tangles. Conclusion: TNF-α targeted therapy is a biologically plausible approach to the preservation of cognition, and warrants larger prospective RCTs to further investigate potential benefits in populations at risk of developing AD.
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Shende, Shraddha A., Lydia T. Nguyen, Elizabeth A. Lydon, Fatima T. Husain, and Raksha A. Mudar. "Cognitive Flexibility and Inhibition in Individuals with Age-Related Hearing Loss." Geriatrics 6, no. 1 (March 5, 2021): 22. http://dx.doi.org/10.3390/geriatrics6010022.

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Growing evidence suggests alterations in cognitive control processes in individuals with varying degrees of age-related hearing loss (ARHL); however, alterations in those with unaided mild ARHL are understudied. The current study examined two cognitive control processes, cognitive flexibility, and inhibition, in 21 older adults with unaided mild ARHL and 18 age- and education-matched normal hearing (NH) controls. All participants underwent comprehensive audiological and cognitive evaluations including Trail Making Test-B, Verbal Fluency, Stroop, and two Go/NoGo tasks. Group differences in cognitive flexibility and inhibition as well as associations between peripheral and central hearing ability and measures of cognitive flexibility and inhibition were investigated. Findings revealed that the ARHL group took significantly longer to complete the Stroop task and had higher error rates on NoGo trials on both Go/NoGo tasks relative to the NH controls. Additionally, poorer peripheral and central hearing were associated with poorer cognitive flexibility and inhibitory control. Our findings suggest slower and more inefficient inhibitory control in the mild ARHL group relative to the NH group and add to decades of research on the association between hearing and cognition.
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Parkinson, Jim, and Patrick Haggard. "Choosing to Stop: Responses Evoked by Externally Triggered and Internally Generated Inhibition Identify a Neural Mechanism of Will." Journal of Cognitive Neuroscience 27, no. 10 (October 2015): 1948–56. http://dx.doi.org/10.1162/jocn_a_00830.

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Inhibiting inappropriate action is key to human behavioral control. Studies of action inhibition largely investigated external stop signals, yet these are rare in everyday life. Instead healthy adults exert “self-control,” implying an ability to decide internally to stop actions. We added “choose for yourself” stimuli to a conventional go/no-go task to compare reactive versus intentional action and inhibition. No-go reactions showed the N2 EEG potential characteristic of inhibiting prepotent motor responses, whereas go reactions did not. Interestingly, the N2 component was present for intentional choices both to act and also to inhibit. Thus, free choices involved a first step of intentionally inhibiting prepotent responses before generating or withholding an action. Intentional inhibition has a crucial role breaking the flow of stimulus-driven responding, allowing expression of volitional decisions. Even decisions to initiate self-generated actions require this prior negative form of volition, ensuring the “freedom from immediacy” characteristic of human behavior.
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Ganesan, Keertana, Claire R. Smid, Abigail Thompson, Elisa S. Buchberger, Joshua Spowage, Somya Iqbal, Harriet Phillips, and Nikolaus Steinbeis. "Examining Mechanisms of Childhood Cognitive Control." Journal of Cognition 6, no. 1 (August 24, 2023): 50. http://dx.doi.org/10.5334/joc.314.

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Childhood cognitive control is an important predictor for positive development, yet interventions seeking to improve it have provided mixed results. This is partly due to lack of clarity surrounding mechanisms of cognitive control, notably the role of inhibition and context monitoring. Here we use a randomized controlled trial to causally test the contributions of inhibition and context monitoring to cognitive control in childhood. Sixty children aged 6 to 9-years were assigned to three groups training either inhibition, context monitoring group or response speed using a gamified, highly variable and maximally adaptive training protocol. Whereas all children improved in the targeted cognitive functions over the course of training, pre-post data show that only the inhibition group improved on cognitive control. These findings serve as a first step in demonstrating the promise inhibition-based cognitive control interventions may hold.
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Marotte, H., F. E. Lévy-Weil, R. M. Flipo, T. Schaeverbeke, E. Fakra, and L. Gossec. "SAT0115 COGNITIVE IMPAIRMENT WAS FREQUENT IN PATIENTS WITH RHEUMATOID ARTHRITIS STARTING A BIOLOGIC, WITH SIMILAR RATES OF INHIBITION OR OVERSTIMULATION: AN ANALYSIS OF 84 PATIENTS FROM THE SARIPRO STUDY." Annals of the Rheumatic Diseases 79, Suppl 1 (June 2020): 991–92. http://dx.doi.org/10.1136/annrheumdis-2020-eular.5435.

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Background:While cognitive impairment is an issue for patients with rheumatoid arthritis (RA), there are few data available on its frequency and possible link with other outcomes in RA.Objectives:To assess cognitive impairment in RA and its association with RA and patients’ characteristics.Methods:The SariPRO study (NCT 03449758) was a French multicenter study assessing the effects of sarilumab 200 mg on patient-reported outcomes in patients with moderately to severely active RA with an inadequate response or intolerance to conventional synthetic or biologic DMARDs. This report focuses on baseline data.The main outcome of this analysis was cognitive impairment evaluated by the cognitive sub-score of the patient-reported multidimensional assessment of mood disorders (MAThyS) scale. This sub-score is scored between 0 (i.e. feeling that thoughts occur slower) and 40 (i.e. racing thoughts) where 20 is the best state. This sub-score was analyzed by tertiles where the lowest tertile indicates general inhibition, the second tertile includes normal states, and the highest tertile indicates general excitation. In addition to the MAThyS total score and sub-scores (Cognition, Emotion, Psychomotricity, Motivation and Sense perception), age, gender, duration of RA, methotrexate use, antibody status (rheumatoid factor/ACPA positivity), fatigue (FACIT-F), anxiety /depression (HADS), as well as patient global assessment (PGA) were collected. Cognitive impairment was defined as inhibition (first tertile) and excitation (third tertile). The association between cognitive inhibition and patients’ characteristics (demographic, psychological and disease activity) was estimated by univariate and multivariate logistic regression in an exploratory analysis. There was no imputation of missing data.Results:In all 84 patients were included, characteristics at baseline were as expected for an RA population initiating a biologic: mean (SD) age: 59.1 (12.3) years, 75.0% female, disease duration 10.0 (10.3) years, rheumatoid factor positivity 76.1%, ACPA positivity 81.3%, and DAS28 5.0 (1.1). The mean (SD) MAThyS cognition score was 18.2 (4.9). In the exploratory multivariate analysis, factors associated to cognitive inhibition were depression (HADS depression score ≥ 8, odds ratio, OR=3.15 [95% confidence interval, 1.16; 8.59], p=0. 025), emotion inhibition (lower tertile of the MATHYS emotion regulation: OR=4.76 [1.54; 14.28]; p=0.007) and low motivation (lower tertile of motivation: OR=4.17 [1.54; 11.11]; p=0.005).Conclusion:Cognitive impairment was frequent in this population of patients with active RA, with similar rates of cognitive inhibition and cognitive excitation. The results suggest that there may be an association between cognitive inhibition, depression, emotion dysregulation and absence of motivation. Unexpectedly, this exploratory analysis did not show an association between cognition impairment and demographic characteristics or disease activity.References:[1]Study was sponsored by Sanofi GenzymeDisclosure of Interests:Hubert MAROTTE Grant/research support from: Bristol Myers Sqibb, Lilly France, MSD, Novartis, Nordic Pharma, Pfizer, SanofiAventis, Consultant of: AbbVie, Amgen, Bristol Myers Sqibb, Lilly France, MSD, Novartis, Nordic Pharma, Pfizer, SanofiAventis, Paid instructor for: Sanofi-Aventis, Speakers bureau: Sanofi-Aventis, Florence E Lévy-Weil Employee of: Sanofi Genzyme employee, René-Marc Flipo Consultant of: Johnson and Johnson, MSD France, Novartis, Sanofi, Speakers bureau: Johnson and Johnson, MSD France, Novartis, Sanofi, Thierry Schaeverbeke: None declared, Eric Fakra Consultant of: Janssen, Lundbeck, Otsuka, Sanofi, Laure Gossec Grant/research support from: Lilly, Mylan, Pfizer, Sandoz, Consultant of: AbbVie, Amgen, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sandoz, Sanofi-Aventis, UCB
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Chowdhury, Nahian S., Evan J. Livesey, and Justin A. Harris. "Individual differences in intracortical inhibition during behavioural inhibition." Neuropsychologia 124 (February 2019): 55–65. http://dx.doi.org/10.1016/j.neuropsychologia.2019.01.008.

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30

ZHANG, Yang, Chunhua PENG, Yang SUN, and Ming ZHANG. "Cognitive Mechanism of Visual Inhibition of Return." Advances in Psychological Science 21, no. 11 (December 13, 2013): 1913–26. http://dx.doi.org/10.3724/sp.j.1042.2013.01913.

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31

Arbuthnott, Katherine, and Jamie I. D. Campbell. "Cognitive inhibition in selection and sequential retrieval." Memory & Cognition 28, no. 3 (May 2000): 331–40. http://dx.doi.org/10.3758/bf03198548.

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Roesch-Ely, Daniela, Manfred Spitzer, and Matthias Weisbrod. "Cognitive Inhibition and Thought Disorder in Schizophrenia." Psychopathology 36, no. 1 (2003): 23–32. http://dx.doi.org/10.1159/000069659.

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33

Beech, Anthony, Trevor Powell, Jonathan McWilliam, and Gordon Claridge. "Evidence of reduced ‘cognitive inhibition’ in schizophrenia." British Journal of Clinical Psychology 28, no. 2 (May 1989): 109–16. http://dx.doi.org/10.1111/j.2044-8260.1989.tb00821.x.

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Enright, Simon J., and Anthony R. Beech. "Reduced cognitive inhibition in obsessive-compulsive disorder." British Journal of Clinical Psychology 32, no. 1 (February 1993): 67–74. http://dx.doi.org/10.1111/j.2044-8260.1993.tb01028.x.

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Peters, Emmanuelle R., Alan D. Pickering, and David R. Hemsley. "‘Cognitive inhibition’ and positive symptomatology in schizotypy." British Journal of Clinical Psychology 33, no. 1 (February 1994): 33–48. http://dx.doi.org/10.1111/j.2044-8260.1994.tb01092.x.

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Cui, Ji-fang, Ying-he Chen, Xiao-dong Zhang, Ya Wang, Ding-guo Gao, and Xiao-bing Zou. "Cognitive Inhibition and Shifting in Asperger’s Syndrome." Psychopathology 45, no. 2 (2012): 130–32. http://dx.doi.org/10.1159/000328626.

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Avila, César, and Maria Antònia Parcet. "Impulsivity and anxiety differences in cognitive inhibition." Personality and Individual Differences 23, no. 6 (December 1997): 1055–64. http://dx.doi.org/10.1016/s0191-8869(97)00124-4.

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38

David, Anthony S. "Negative Priming (Cognitive Inhibition) in Psyciatric Patients." Journal of Nervous and Mental Disease 183, no. 5 (May 1995): 337–38. http://dx.doi.org/10.1097/00005053-199505000-00011.

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Tsutsumi, Ryosuke, Ritsuko Hanajima, Masashi Hamada, Yuichiro Shirota, Hideyuki Matsumoto, Yasuo Terao, Shinya Ohminami, et al. "Reduced interhemispheric inhibition in mild cognitive impairment." Experimental Brain Research 218, no. 1 (January 11, 2012): 21–26. http://dx.doi.org/10.1007/s00221-011-2997-0.

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40

Montembeault, Maxime, Sabrina Sayah, Daisy Rinaldi, Benjamin Le Toullec, Anne Bertrand, Aurélie Funkiewiez, Dario Saracino, et al. "Cognitive inhibition impairments in presymptomatic C9orf72 carriers." Journal of Neurology, Neurosurgery & Psychiatry 91, no. 4 (February 13, 2020): 366–72. http://dx.doi.org/10.1136/jnnp-2019-322242.

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ObjectiveTo investigate cognitive inhibition in presymptomatic C9orf72 mutation carriers (C9+) and its associated neuroanatomical correlates.MethodsThirty-eight presymptomatic C9orf72 mutation carriers (C9+, mean age 38.2±8.0 years) and 22 C9− controls from the PREV-DEMALS cohort were included in this study. They underwent a cognitive inhibition assessment with the Hayling Sentence Completion Test (HSCT; time to completion (part B−part A); error score in part B) as well as a 3D MRI.ResultsC9+ individuals younger than 40 years had higher error scores (part B) but equivalent HSCT time to completion (part B−part A) compared to C9− individuals. C9+ individuals older than 40 years had both higher error scores and longer time to completion. HSCT time to completion significantly predicted the proximity to estimated clinical conversion from presymptomatic to symptomatic phase in C9+ individuals (based on the average age at onset of affected relatives in the family). Anatomically, we found that HSCT time to completion was associated with the integrity of the cerebellum.ConclusionThe HSCT represents a good marker of cognitive inhibition impairments in C9+ and of proximity to clinical conversion. This study also highlights the key role of the cerebellum in cognitive inhibition.
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Campbell, Jamie I. D. "Retrieval inhibition and interference in cognitive arithmetic." Canadian Journal of Psychology/Revue canadienne de psychologie 44, no. 4 (1990): 445–64. http://dx.doi.org/10.1037/h0084266.

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42

Joormann, Jutta. "Cognitive Inhibition and Emotion Regulation in Depression." Current Directions in Psychological Science 19, no. 3 (June 2010): 161–66. http://dx.doi.org/10.1177/0963721410370293.

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Ferraro, F. Richard, and Amy Dukart. "Cognitive inhibition in individuals prone to homophobia." Journal of Clinical Psychology 54, no. 2 (February 1998): 155–62. http://dx.doi.org/10.1002/(sici)1097-4679(199802)54:2<155::aid-jclp4>3.0.co;2-r.

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Stock, Ann-Kathrin, Annett Werner, Paul Kuntke, Miriam-Sophie Petasch, Wiebke Bensmann, Nicolas Zink, Anna Helin Koyun, Boris B. Quednow, and Christian Beste. "Gamma-Aminobutyric Acid and Glutamate Concentrations in the Striatum and Anterior Cingulate Cortex Not Found to Be Associated with Cognitive Flexibility." Brain Sciences 13, no. 8 (August 11, 2023): 1192. http://dx.doi.org/10.3390/brainsci13081192.

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Behavioral flexibility and goal-directed behavior heavily depend on fronto-striatal networks. Within these circuits, gamma-aminobutyric acid (GABA) and glutamate play an important role in (motor) response inhibition, but it has remained largely unclear whether they are also relevant for cognitive inhibition. We hence investigated the functional role of these transmitters for cognitive inhibition during cognitive flexibility. Healthy young adults performed two paradigms assessing different aspects of cognitive flexibility. Magnetic resonance spectroscopy (MRS) was used to quantify GABA+ and total glutamate/glutamine (Glx) levels in the striatum and anterior cingulate cortex (ACC) referenced to N-acetylaspartate (NAA). We observed typical task switching and backward inhibition effects, but striatal and ACC concentrations of GABA+/NAA and Glx/NAA were not associated with cognitive flexibility in a functionally relevant manner. The assumption of null effects was underpinned by Bayesian testing. These findings suggest that behavioral and cognitive inhibition are functionally distinct faculties, that depend on (at least partly) different brain structures and neurotransmitter systems. While previous studies consistently demonstrated that motor response inhibition is modulated by ACC and striatal GABA levels, our results suggest that the functionally distinct cognitive inhibition required for successful switching is not, or at least to a much lesser degree, modulated by these factors.
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England, Derek, Kathy L. Ruddy, Christopher J. Dakin, Sarah E. Schwartz, Blake Butler, and David A. E. Bolton. "Relationship between Speed of Response Inhibition and Ability to Suppress a Step in Midlife and Older Adults." Brain Sciences 11, no. 5 (May 15, 2021): 643. http://dx.doi.org/10.3390/brainsci11050643.

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In young adults, performance on a test of response inhibition was recently found to be correlated with performance on a reactive balance test where automated stepping responses must occasionally be inhibited. The present study aimed to determine whether this relationship holds true in older adults, wherein response inhibition is typically deficient and the control of postural equilibrium presents a greater challenge. Ten participants (50+ years of age) completed a seated cognitive test (stop signal task) followed by a reactive balance test. Reactive balance was assessed using a modified lean-and-release system where participants were required to step to regain balance following perturbation, or suppress a step if an obstacle was present. The stop signal task is a standardized cognitive test that provides a measure of the speed of response inhibition called the Stop Signal Reaction Time (SSRT). Muscle responses in the legs were compared between conditions where a step was allowed or blocked to quantify response inhibition of the step. The SSRT was significantly related to leg muscle suppression during balance recovery in the stance leg. Thus, participants that were better at inhibiting their responses in the stop signal task were also better at inhibiting an unwanted leg response in favor of grasping a supportive handle. The relationship between a seated cognitive test using finger responses and leg muscle suppression when a step was blocked indicates a context-independent, generalized capacity for response inhibition. This suggests that a simple cognitive test such as the stop signal task could be used clinically to predict an individual’s capacity for adapting balance reactions and fall risk. The present results provide support for future studies, with larger samples, to verify this relationship between stop signal reaction time and leg response during balance recovery.
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Santos, J. L., J. Mateo, A. Aparicio, and E. M. Sánchez-Morla. "Prepulse inhibition in euthymic bipolar disorder patients in comparison with control subjects." European Psychiatry 33, S1 (March 2016): S126. http://dx.doi.org/10.1016/j.eurpsy.2016.01.170.

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IntroductionDeficient prepulse inhibition (PPI) of the startle response, indicating sensorimotor gating deficits, has been reported in schizophrenia and other neuropsychiatric disorders.Objectives and aimsThe present study aimed to assess sensorimotor gating deficits in euthymic bipolar patients. Furthermore, we analysed the relationships between PPI and clinical and cognitive measures.MethodPPI was measured in 64 euthymic bipolar patients and in 64 control subjects matched for age, gender, education level and smoking status. Clinical characteristics and level of functioning were assessed in all participants using the Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS) and Functioning Assessment Short Test (FAST). Cognition was evaluated using the MATRICS Consensus Cognitive Battery (MCCB) and the Stroop Test as an additional measure of executive function.ResultsCompared with controls, patients with bipolar disorder exhibited PPI deficits at 60- and 120-milliseconds prepulse-pulse intervals. Among patients with bipolar disorder, PPI was correlated with the social cognition domain of the MCCB. PPI was not significantly correlated with other clinical or neurocognitive variables in either group.ConclusionsOur data suggest that PPI deficit is a neurobiological marker in euthymic bipolar disorder, which is associated with social cognition but not with other clinical, functional or cognitive measures.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Rubia, Katya, Anna Smith, Karen Lidzba, Brian Toone, Andy Simmons, Steve C. R. Williams, and Eric Taylor. "Inhibition of response and inhibition of interference, event related." NeuroImage 13, no. 6 (June 2001): 352. http://dx.doi.org/10.1016/s1053-8119(01)91695-7.

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Kan, Yuecui, Wenlong Xue, Hanxuan Zhao, Xuewei Wang, Xiaoyu Guo, and Haijun Duan. "The discrepant effect of acute stress on cognitive inhibition and response inhibition." Consciousness and Cognition 91 (May 2021): 103131. http://dx.doi.org/10.1016/j.concog.2021.103131.

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Marouf, Rafik, Stéphane Caron, Maxime Lussier, Louis Bherer, Mathieu Piché, and Pierre Rainville. "Reduced pain inhibition is associated with reduced cognitive inhibition in healthy aging." Pain 155, no. 3 (March 2014): 494–502. http://dx.doi.org/10.1016/j.pain.2013.11.011.

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50

Daurignac, Elsa, Olivier Houdé, and Roland Jouvent. "Negative Priming in a Numerical Piaget-like Task as Evidenced by ERP." Journal of Cognitive Neuroscience 18, no. 5 (May 1, 2006): 730–36. http://dx.doi.org/10.1162/jocn.2006.18.5.730.

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Inhibition is a key executive function in adults and children for the acquisition and expression of cognitive abilities. Using event-related potentials in a priming adaptation of a Piaget-like numerical task taken from developmental psychology, we report a negative priming effect in adults measured just after the cognitive inhibition of a misleading strategy, the visuospatial length-equals-number bias. This effect was determined in the N200 information processing stage through increased N200 amplitude. We show here that for accuracy in numerical quantification, the adult brain still had to control the childlike cognition biases that are stored in a kind of “developmental memory.”
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