Prefrontal brain stimulation during food-related inhibition training: effects on food craving, food consumption and inhibitory control

Sedgmond, Jemma; Lawrence, Natalia; Verbruggen, Frederick; Morrison, Sinéad; Chambers, Chris; Adams, Rachel C.

doi:10.1098/rsos.181186

Cited by 25 publications

(42 citation statements)

References 94 publications

(160 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, as the number of studies utilizing tDCS in the exploration of its effects on food craving has increased, evidence of efficacy has weakened. A more recent meta-analysis, including eight experiments, found no effect of tDCS on food craving [386], and subsequent research, including a large pre-registered experiment, has also failed to replicate findings for both food craving and consumption [435,436].…”

Section: Treatment Implicationsmentioning

confidence: 99%

Food Addiction: Implications for the Diagnosis and Treatment of Overeating

et al. 2019

Self Cite

View full text Add to dashboard Cite

With the obesity epidemic being largely attributed to overeating, much research has been aimed at understanding the psychological causes of overeating and using this knowledge to develop targeted interventions. Here, we review this literature under a model of food addiction and present evidence according to the fifth edition of the Diagnostic and Statistical Manual (DSM-5) criteria for substance use disorders. We review several innovative treatments related to a food addiction model ranging from cognitive intervention tasks to neuromodulation techniques. We conclude that there is evidence to suggest that, for some individuals, food can induce addictive-type behaviours similar to those seen with other addictive substances. However, with several DSM-5 criteria having limited application to overeating, the term ‘food addiction’ is likely to apply only in a minority of cases. Nevertheless, research investigating the underlying psychological causes of overeating within the context of food addiction has led to some novel and potentially effective interventions. Understanding the similarities and differences between the addictive characteristics of food and illicit substances should prove fruitful in further developing these interventions.

show abstract

Section: Treatment Implicationsmentioning

confidence: 99%

Food Addiction: Implications for the Diagnosis and Treatment of Overeating

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…NIBS may enhance synaptic strength in neuronal pathways activated by cognitive training, amplifying effects of training and thus cognitive bias modification efficacy 64. As the effectiveness of tDCS may thus be improved by pairing administration with a cognitive task inducing activity in the target brain region,65–67 such combined treatment interventions have been investigated among alcohol dependent inpatients (ABM and tDCS),68 and to enhance inhibitory control related to food consumption (Go/No-Go Task and tDCS) 65. The insignificant findings from these studies warrant commentary that to date, studies that have found positive effects of tDCS have either included obese participants or have had multi-session protocols 65 69–71.…”

Section: Introductionmentioning

confidence: 99%

Combining cognitive bias modification training (CBM) and transcranial direct current stimulation (tDCS) to treat binge eating disorder: study protocol of a randomised controlled feasibility trial

et al. 2019

View full text Add to dashboard Cite

IntroductionBinge eating disorder (BED) is a common mental disorder, closely associated with obesity. Existing treatments are only moderately effective with high relapse rates, necessitating novel interventions. This paper describes the rationale for, and protocol of, a feasibility randomised controlled trial (RCT), evaluating the combination of transcranial direct current stimulation (tDCS) and a computerised cognitive training, namely approach bias modification training (ABM), in patients with BED who are overweight or obese. The aim of this trial is to obtain information that will guide decision-making and protocol development in relation to a future large-scale RCT of combined tDCS+ABM treatment in this group of patients, and also to assess the preliminary efficacy of this intervention.Methods and analysis66 participants with Diagnostic and Statistical Manual-5 diagnosis of BED and a body mass index (BMI) of ≥25 kg/m2 will be randomly allocated to one of three groups: ABM+real tDCS; ABM+sham tDCS or a wait-list control group. Participants in both intervention groups will receive six sessions of ABM+real/sham tDCS over 3 weeks; engaging in the ABM task while simultaneously receiving bilateral tDCS to the dorsolateral prefrontal cortex. ABM is based on an implicit learning paradigm in which participants are trained to enact an avoidance behaviour in response to visual food cues. Assessments will be conducted at baseline, post-treatment (3 weeks) and follow-up (7 weeks post-randomisation). Feasibility outcomes assess recruitment and retention rates, acceptability of random allocation, blinding success (allocation concealment), completion of treatment sessions and research assessments. Other outcomes include eating disorder psychopathology and related neurocognitive outcomes (ie, delay of gratification and inhibitory control), BMI, other psychopathology (ie, mood), approach bias towards food and surrogate endpoints (ie, food cue reactivity, trait food craving and food intake).Ethics and disseminationThis study has been approved by the North West-Liverpool East Research Ethics Committee. Results will be published in peer-reviewed journals.Trial registration number ISRCTN35717198

show abstract

“…The ability to control one’s actions and thoughts is important for our daily lives; for example: changing gait when there is an obstacle in the path 1 , resisting the temptation to eat when on a diet 2 , overcoming the tendency to say something hurtful 3 . While many processes contribute to such forms of control, one important process is response inhibition – the prefrontal (top-down) stopping of initiated response tendencies 4 .…”

mentioning

confidence: 99%

Temporal cascade of frontal, motor and muscle processes underlying human action-stopping

Jana

Hannah

Muralidharan

et al. 2019

Preprint

View full text Add to dashboard Cite

15Action-stopping is a canonical executive function thought to involve top-down control 16 over the motor system. Here we aimed to validate this stopping system using high temporal 17 resolution methods in humans. We show that, following the requirement to stop, there was an 18 increase of right frontal beta (~13 to 30 Hz) at ~120 ms, likely a proxy of right inferior frontal 19 gyrus; then, at 140 ms, there was a broad skeletomotor suppression, likely reflecting the impact 20 of the subthalamic nucleus on basal ganglia output; then, at ~160 ms, suppression was detected 21 in the muscle, and, finally, the behavioral time of stopping was ~220 ms. This temporal cascade 22 confirms a detailed model of action-stopping, and partitions it into subprocesses that are isolable 23 to different nodes and are more precise than the behavioral speed of stopping. Variation in these 24 subprocesses, including at the single-trial level, could better explain individual differences in 25 impulse control. 26 27 28The ability to control one's actions and thoughts is important for our daily lives; for 29 example: changing gait when there is an obstacle in the path 1 , resisting the temptation to eat 30 when on a diet 2 , overcoming the tendency to say something hurtful 3 . While many processes 31 contribute to such forms of control, one important process is response inhibition -the prefrontal 32 (top-down) stopping of initiated response tendencies 4 . In the laboratory, response inhibition is 33 often studied with the stop-signal task 5 . On each trial, the participant initiates a motor response, 34 and then, when a subsequent Stop signal occurs, tries to stop. From the behavioral data one can 35 estimate a latent variable; the speed of stopping known as Stop Signal Reaction Time (SSRT), 36 which is typically 200-250 ms in healthy adults 5 . SSRT has been useful in neuropsychiatry 37where it is often longer for patients vs. controls [6][7][8][9][10][11] . The task has also provided a rich test-bed, 38 3 across species, for mapping out a putative neural architecture of prefrontal-basal-ganglia-regions 39 for rapidly suppressing motor output areas 6,12,13 . Given this rich literature, this task is one of the 40 few paradigms included in the longitudinal Adolescent Brain Cognitive Development study 14 of 41 10,000 adolescents over 10 years. 42Against this background, a puzzle is that the relation between SSRT and 'real-world' 43 self-reported impulsivity is often weak 15-20 . One explanation is that SSRT may not accurately 44 index the brain's true stopping speed. Indeed, recent mathematical modelling of behavior during 45 the stop-signal task suggests that standard calculations of SSRT may overestimate the brain's 46 stopping speed by ~100 ms 15 [also see 21 ]. Further, in a recent study 22 , electromyographic (EMG) 47 recordings revealed an initial increase in EMG activity in response to the Go cue, followed by a 48 sudden decline at ~150 ms after the Stop signal. This decline in EMG could be because of the 49 Stop process 'kicking in'...

show abstract

Prefrontal brain stimulation during food-related inhibition training: effects on food craving, food consumption and inhibitory control

Cited by 25 publications

References 94 publications

Food Addiction: Implications for the Diagnosis and Treatment of Overeating

Food Addiction: Implications for the Diagnosis and Treatment of Overeating

Combining cognitive bias modification training (CBM) and transcranial direct current stimulation (tDCS) to treat binge eating disorder: study protocol of a randomised controlled feasibility trial

Temporal cascade of frontal, motor and muscle processes underlying human action-stopping

Contact Info

Product

Resources

About