Dynamic reconfiguration of functional brain networks supporting response inhibition in a stop-signal task

Wang, Bin; Hao, Yaqing; Zhan, Qionghui; Zhao, Shuo; Li, Dandan; Imtiaz, Sumaira; Xiang, Jie; Wu, Jinglong; Fukuyama, Hidenao; Yan, Ting

doi:10.1007/s11682-019-00203-7

Cited by 6 publications

(5 citation statements)

References 41 publications

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“…More than a hundred regions in our LME model showed dynamic response inhibitory activity. This may not be surprising, as response inhibition is associated with large-scale neural activity 54 and dynamic brain network reconfiguration 41 . Also, notable is that dynamic prefrontal activations were also observed in the response inhibition model, whereas only FDR-uncorrected prefrontal activations were observed in the other two models (cue-reactivity and methamphetamine-related response inhibition).…”

Section: Discussionmentioning

confidence: 99%

“…Considering the potentially multiphasic nature of the cue-reactivity process which unfolds over seconds and minutes and primarily involves different regions and networks at each stage 11 , it’s not surprising that three recent studies on the MUD and opioid use disorder have found evidence of temporally dynamic activation patterns during cue-reactivity in regions such as the amygdala, the dorsal anterior cingulate cortex, the ventromedial prefrontal cortex, the ventral striatum, the caudate nuclei and insular cortices, and various prefrontal regions 37 – 39 . Given the temporally dynamic involvement of regions such as the bilateral motor and prefrontal cortices in response inhibition 40 and the dynamic reconfiguration of functional brain networks 41 , it’s reasonable to expect similarly dynamic activation patterns to be implicated in successful and dysfunctional response inhibition in individuals with substance use disorders.…”

Section: Introductionmentioning

confidence: 99%

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Temporally dynamic neural correlates of drug cue reactivity, response inhibition, and methamphetamine-related response inhibition in people with methamphetamine use disorder

Jafakesh

Sangchooli

Aarabi

et al. 2022

Sci Rep

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Cue-induced drug craving and disinhibition are two essential components of continued drug use and relapse in substance use disorders. While these phenomena develop and interact across time, the temporal dynamics of their underlying neural activity remain under-investigated. To explore these dynamics, an analysis of time-varying activation was applied to fMRI data from 62 men with methamphetamine use disorder in their first weeks of recovery in an abstinence-based treatment program. Using a mixed block-event, factorial cue-reactivity/Go-NoGo task and a sliding window across the task duration, dynamically-activated regions were identified in three linear mixed effects models (LMEs). Habituation to drug cues across time was observed in the superior temporal gyri, amygdalae, left hippocampus, and right precuneus, while response inhibition was associated with the sensitization of temporally-dynamic activations across many regions of the inhibitory frontoparietal network. Methamphetamine-related response inhibition was associated with temporally-dynamic activity in the parahippocampal gyri and right precuneus (corrected p-value < 0.001), which show a declining cue-reactivity contrast and an increasing response inhibition contrast. Overall, the declining craving-related activations (habituation) and increasing inhibition-associated activations (sensitization) during the task duration suggest the gradual recruitment of response inhibitory processes and a concurrent habituation to drug cues in areas with temporally-dynamic methamphetamine-related response inhibition. Furthermore, temporally dynamic cue-reactivity and response inhibition were correlated with behavioral and clinical measures such as the severity of methamphetamine use and craving, impulsivity and inhibitory task performance. This exploratory study demonstrates the time-variance of the neural activations undergirding cue-reactivity, response inhibition, and response inhibition during exposure to drug cues, and suggests a method to assess this dynamic interplay. Analyses that can capture temporal fluctuations in the neural substrates of drug cue-reactivity and response inhibition may prove useful for biomarker development by revealing the rate and pattern of sensitization and habituation processes, and may inform mixed cue-exposure intervention paradigms which could promote habituation to drug cues and sensitization in inhibitory control regions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temporally dynamic neural correlates of drug cue reactivity, response inhibition, and methamphetamine-related response inhibition in people with methamphetamine use disorder

Jafakesh

Sangchooli

Aarabi

et al. 2022

Sci Rep

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“…Both the IFG and STG are core regions of the ventral attention network 80 , which is thought to facilitate the quick adjustments to sudden changes and has been suggested to facilitate response inhibition (i.e., by drawing attention to appropriate S-R mapping processes). The diminished activity differences in the right STG in the reward group may further indicate deficiencies in visual information processing as compared to the control group 81 , 82 . Higher activation differences in the control group were also shown in a cluster spanning the ventromedial prefrontal cortex (vmPFC) and the nucleus accumbens.…”

Section: Discussionmentioning

confidence: 95%

Neurophysiological mechanisms underlying the differential effect of reward prospect on response selection and inhibition

Koyun

Stock

Beste

2023

Sci Rep

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Reward and cognitive control play crucial roles in shaping goal-directed behavior. Yet, the behavioral and neural underpinnings of interactive effects of both processes in driving our actions towards a particular goal have remained rather unclear. Given the importance of inhibitory control, we investigated the effect of reward prospect on the modulatory influence of automatic versus controlled processes during response inhibition. For this, a performance-contingent monetary reward for both correct response selection and response inhibition was added to a Simon NoGo task, which manipulates the relationship of automatic and controlled processes in Go and NoGo trials. A neurophysiological approach was used by combining EEG temporal signal decomposition and source localization methods. Compared to a non-rewarded control group, rewarded participants showed faster response execution, as well as overall lower response selection and inhibition accuracy (shifted speed-accuracy tradeoff). Interestingly, the reward group displayed a larger interference of the interactive effects of automatic versus controlled processes during response inhibition (i.e., a larger Simon NoGo effect), but not during response selection. The reward-specific behavioral effect was mirrored by the P3 amplitude, underlining the importance of stimulus–response association processes in explaining variability in response inhibition performance. The selective reward-induced neurophysiological modulation was associated with lower activation differences in relevant structures spanning the inferior frontal and parietal cortex, as well as higher activation differences in the somatosensory cortex. Taken together, this study highlights relevant neuroanatomical structures underlying selective reward effects on response inhibition and extends previous reports on the possible detrimental effect of reward-triggered performance trade-offs on cognitive control processes.

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“…More than a hundred regions in our LME model showed dynamic response-inhibitory activity. This may not be surprising, as response-inhibition is associated with large-scale neural activity 53 and dynamic brain network recon guration 41 . Also, notable is that dynamic prefrontal activations were also observed in the response-inhibition model, whereas only FDR-uncorrected prefrontal activations were observed in the other two models (cue-reactivity and cue-reactivity/inhibition interaction).…”

Section: Dynamic Response-inhibitionmentioning

confidence: 99%

“…Considering the potentially multiphasic nature of the cue-reactivity process which unfolds over seconds and minutes and primarily involves different regions and networks at each stage 11 , it's not surprising that three recent studies on the MUD and opioid use disorder have found evidence of temporally dynamic activation patterns during cue-reactivity in regions such as the amygdala, the dorsal anterior cingulate cortex, the ventromedial prefrontal cortex, the ventral striatum, the caudate nuclei and insular cortices, and various prefrontal regions [37][38][39] . Given the temporally dynamic involvement of regions such as the bilateral motor and prefrontal cortices in response-inhibition 40 and the dynamic recon guration of functional brain networks 41 , it's reasonable to expect similarly dynamic activation patterns to be implicated in successful and dysfunctional response-inhibition in individuals with substance use disorders.…”

Section: Introductionmentioning

confidence: 99%

Temporally Dynamic Interaction between Drug Cue Reactivity and Response Inhibition: An fMRI Study among People with Methamphetamine Use Disorder

Jafakesh

Sangchooli

Aarabi

et al. 2021

Preprint

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Cue-induced drug craving and disinhibition are two essential components of continued drug use and relapse in substance use disorders. While these two phenomena develop and interact across time, the temporal dynamics of their underlying neural activity and their interaction remain under-investigated. To explore these dynamics, an analysis of time-varying activation was applied to fMRI data from 62 men with methamphetamine use disorder in their first weeks of recovery in abstinence-based treatment program. Using a mixed block-event, factorial cue-reactivity/Go-NoGo task, and a sliding window across the task duration, dynamically-activated regions were identified in linear mixed effects models (LMEs). Habituation to drug cues across time was observed in the superior temporal gyri, amygdalae, left hippocampus, and right precuneus, while response-inhibition was associated with the sensitization of temporally-dynamic activations across many regions of the inhibitory frontoparietal network. Cue-reactivity and response-inhibition dynamically interact in the parahippocampal gyri and right precuneus (corrected p-value < 0.001) regions, which show a declining cue-reactivity contrast and an increasing response-inhibition contrast. Overall, the declining craving-related activations (habituation) and increasing inhibition-associated activations (sensitization) along the task duration suggest the gradual recruitment of response-inhibition process and the concurrent habituation to drug cues in areas with significant dynamic interaction. This exploratory study demonstrates the time-variance of the neural activations undergirding cue-reactivity, response-inhibition, and their interaction, and suggests potentials to assess this dynamic interaction. This preliminary evidence provides justifications for new avenues in biomarker development and interventions using cue exposure paradigms, which could promote habituation to drug cues and sensitization in inhibitory control regions.

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Dynamic reconfiguration of functional brain networks supporting response inhibition in a stop-signal task

Cited by 6 publications

References 41 publications

Temporally dynamic neural correlates of drug cue reactivity, response inhibition, and methamphetamine-related response inhibition in people with methamphetamine use disorder

Temporally dynamic neural correlates of drug cue reactivity, response inhibition, and methamphetamine-related response inhibition in people with methamphetamine use disorder

Neurophysiological mechanisms underlying the differential effect of reward prospect on response selection and inhibition

Temporally Dynamic Interaction between Drug Cue Reactivity and Response Inhibition: An fMRI Study among People with Methamphetamine Use Disorder

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