Access the full text.
Sign up today, get DeepDyve free for 14 days.
B. Yeo, Fenna Krienen, J. Sepulcre, M. Sabuncu, D. Lashkari, Marisa Hollinshead, J. Roffman, J. Smoller, Lilla Zöllei, J. Polimeni, B. Fischl, Hesheng Liu, R. Buckner (2011)
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Sien Hu, J. Ide, Shenmin Zhang, C. Li (2016)
The Right Superior Frontal Gyrus and Individual Variation in Proactive Control of Impulsive ResponseThe Journal of Neuroscience, 36
J. Haynes, G. Rees (2006)
Neuroimaging: Decoding mental states from brain activity in humansNature Reviews Neuroscience, 7
H. Yoo, Blake Moya, F. Filbey (2020)
Dynamic functional connectivity between nucleus accumbens and the central executive network relates to chronic cannabis useHuman Brain Mapping, 41
H. Kober, E. DeVito, Cameron Deleone, K. Carroll, M. Potenza (2014)
Cannabis Abstinence During Treatment and One-Year Follow-Up: Relationship to Neural Activity in MenNeuropsychopharmacology, 39
M. Criaud, J. Anton, B. Nazarian, M. Longcamp, E. Météreau, P. Boulinguez, B. Ballanger (2021)
The Human Basal Ganglia Mediate the Interplay between Reactive and Proactive Control of Response through Both Motor Inhibition and Sensory ModulationBrain Sciences, 11
J. Belle, M. Vink, S. Durston, B. Zandbelt (2014)
Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI dataNeuroImage, 103
V. Kebets, V. Kebets, A. Holmes, C. Orban, C. Orban, Siyi Tang, Siyi Tang, Jingwei Li, Nanbo Sun, Ru Kong, R. Poldrack, B. Yeo (2019)
Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of PsychopathologyBiological Psychiatry, 86
J. Kaiser, S. Schütz-Bosbach (2019)
Proactive control without midfrontal control signals? The role of midfrontal oscillations in preparatory conflict adjustmentsBiological Psychology, 148
B. Zandbelt, M. Vink (2010)
On the Role of the Striatum in Response InhibitionPLoS ONE, 5
Marta Czapla, Christian Baeuchl, J. Simon, Barbara Richter, Matthias Kluge, H. Friederich, K. Mann, S. Herpertz, S. Loeber (2017)
Do alcohol-dependent patients show different neural activation during response inhibition than healthy controls in an alcohol-related fMRI go/no-go-task?Psychopharmacology, 234
Holger Mohr, U. Wolfensteller, Richard Betzel, B. Mišić, O. Sporns, J. Richiardi, Hannes Ruge (2016)
Integration and segregation of large-scale brain networks during short-term task automatizationNature Communications, 7
M. Newman (2006)
Modularity and community structure in networks.Proceedings of the National Academy of Sciences of the United States of America, 103 23
A. Mayer, F. Hanlon, A. Dodd, R. Yeo, K. Haaland, J. Ling, S. Ryman (2016)
Proactive response inhibition abnormalities in the sensorimotor cortex of patients with schizophrenia.Journal of psychiatry & neuroscience : JPN, 41 5
Ayda Ghahremani, A. Rastogi, S. Lam (2015)
The Role of Right Anterior Insula and Salience Processing in Inhibitory ControlThe Journal of Neuroscience, 35
L. Pessoa (2009)
How do emotion and motivation direct executive control?Trends in Cognitive Sciences, 13
Wei Wei, Xiao-Jing Wang (2016)
Inhibitory Control in the Cortico-Basal Ganglia-Thalamocortical Loop: Complex Regulation and Interplay with Memory and Decision ProcessesNeuron, 92
D. Brevers, D. Brevers, Q. He, Brenton Keller, X. Noël, A. Bechara (2017)
Neural correlates of proactive and reactive motor response inhibition of gambling stimuli in frequent gamblersScientific Reports, 7
X. Liang, Q. Zou, Yong He, Yihong Yang (2016)
Topologically Reorganized Connectivity Architecture of Default-Mode, Executive-Control, and Salience Networks across Working Memory Task Loads.Cerebral cortex, 26 4
K. Bonson, S. Grant, C. Contoreggi, J. Links, J. Metcalfe, H. Weyl, V. Kurian, M. Ernst, E. London (2002)
Neural Systems and Cue-Induced Cocaine CravingNeuropsychopharmacology, 26
J. Smallwood, B. Bernhardt, R. Leech, D. Bzdok, E. Jefferies, D. Margulies (2021)
The default mode network in cognition: a topographical perspectiveNature Reviews Neuroscience, 22
H. Cai (2020)
Sex difference and smoking predisposition in patients with COVID-19The Lancet. Respiratory Medicine, 8
Anna Zilverstand, Anna Huang, N. Alia-Klein, R. Goldstein (2018)
Neuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic ReviewNeuron, 98
JD Haynes, G Rees (2006)
Decoding mental states from brain activity in humans, 7
Mari Messel, Liisa Raud, Per Hoff, J. Stubberud, René Huster (2021)
Frontal-midline theta reflects different mechanisms associated with proactive and reactive control of inhibitionNeuroImage, 241
M. Ruiter, J. Oosterlaan, D. Veltman, W. Brink, A. Goudriaan (2012)
Similar hyporesponsiveness of the dorsomedial prefrontal cortex in problem gamblers and heavy smokers during an inhibitory control task.Drug and alcohol dependence, 121 1-2
A. Galván, R. Poldrack, C. Baker, Kristine McGlennen, E. London (2011)
Neural Correlates of Response Inhibition and Cigarette Smoking in Late AdolescenceNeuropsychopharmacology, 36
Andrew Westphal, Siliang Wang, Jesse Rissman (2017)
Episodic Memory Retrieval Benefits from a Less Modular Brain Network OrganizationThe Journal of Neuroscience, 37
M. Sutherland, A. Carroll, B. Salmeron, T. Ross, L. Hong, E. Stein (2013)
Individual differences in amygdala reactivity following nicotinic receptor stimulation in abstinent smokersNeuroImage, 66
D. Brevers, D. Brevers, Antoine Bechara, C. Kilts, Valérie Antoniali, A. Bruylant, Paul Verbanck, C. Kornreich, X. Noël (2018)
Competing Motivations: Proactive Response Inhibition Toward Addiction-Related Stimuli in Quitting-Motivated IndividualsJournal of Gambling Studies, 34
A. Aron, R. Poldrack (2006)
Cortical and Subcortical Contributions to Stop Signal Response Inhibition: Role of the Subthalamic NucleusThe Journal of Neuroscience, 26
E. Soreq, R. Leech, A. Hampshire (2019)
Dynamic network coding of working-memory domains and working-memory processesNature Communications, 10
I. Leunissen, J. Coxon, S. Swinnen (2016)
A proactive task set influences how response inhibition is implemented in the basal gangliaHuman Brain Mapping, 37
J. Hughes, Josue Keely, S. Naud (2004)
Shape of the relapse curve and long-term abstinence among untreated smokers.Addiction, 99 1
M. Kitzbichler, R. Henson, Marie Smith, P. Nathan, E. Bullmore (2011)
Cognitive Effort Drives Workspace Configuration of Human Brain Functional NetworksThe Journal of Neuroscience, 31
Liangsuo Ma, J. Steinberg, K. Hasan, P. Narayana, L. Kramer, F. Moeller (2012)
Working memory load modulation of parieto‐frontal connections: Evidence from dynamic causal modelingHuman Brain Mapping, 33
B. Zandbelt, M. Buuren, R. Kahn, M. Vink (2011)
Reduced Proactive Inhibition in Schizophrenia Is Related to Corticostriatal Dysfunction and Poor Working MemoryBiological Psychiatry, 70
Zhengjia Dai, Qixiang Lin, Tao Li, Xiao Wang, Huishu Yuan, Xin Yu, Yong He, Huali Wang (2019)
Disrupted structural and functional brain networks in Alzheimer's diseaseNeurobiology of Aging, 75
T. Braver (2012)
The variable nature of cognitive control: a dual mechanisms frameworkTrends in Cognitive Sciences, 16
Zaixu Cui, Zhichao Xia, Mengmeng Su, H. Shu, G. Gong (2016)
Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approachHuman Brain Mapping, 37
M. Vink, B. Zandbelt, T. Gladwin, M. Hillegers, J. Hoogendam, Wery Wildenberg, S. Plessis, R. Kahn (2014)
Frontostriatal activity and connectivity increase during proactive inhibition across adolescence and early adulthoodHuman Brain Mapping, 35
A. Kraskov, G. Prabhu, M. Quallo, R. Lemon, T. Brochier (2011)
Ventral Premotor–Motor Cortex Interactions in the Macaque Monkey during Grasp: Response of Single Neurons to Intracortical MicrostimulationThe Journal of Neuroscience, 31
B. Zandbelt, M. Bloemendaal, J. Hoogendam, R. Kahn, M. Vink (2013)
Transcranial Magnetic Stimulation and Functional MRI Reveal Cortical and Subcortical Interactions during Stop-signal Response InhibitionJournal of Cognitive Neuroscience, 25
A. Aron (2011)
From Reactive to Proactive and Selective Control: Developing a Richer Model for Stopping Inappropriate ResponsesBiological Psychiatry, 69
B. Zandbelt, M. Bloemendaal, S. Neggers, R. Kahn, M. Vink (2013)
Expectations and violations: Delineating the neural network of proactive inhibitory controlHuman Brain Mapping, 34
D. Meunier, R. Lambiotte, E. Bullmore (2010)
Modular and Hierarchically Modular Organization of Brain NetworksFrontiers in Neuroscience, 4
Haichao Zhao, Ofir Turel, D. Brevers, A. Bechara, Qinghua He (2020)
Smoking cues impair monitoring but not stopping during response inhibition in abstinent male smokersBehavioural Brain Research, 386
Weidong Cai, Tianwen Chen, S. Ryali, J. Kochalka, C. Li, V. Menon (2016)
Causal Interactions Within a Frontal-Cingulate-Parietal Network During Cognitive Control: Convergent Evidence from a Multisite-Multitask Investigation.Cerebral cortex, 26 5
G. Turner, R. Spreng (2015)
Prefrontal Engagement and Reduced Default Network Suppression Co-occur and Are Dynamically Coupled in Older Adults: The Default–Executive Coupling Hypothesis of AgingJournal of Cognitive Neuroscience, 27
G. Repovš, D. Barch (2012)
Working Memory Related Brain Network Connectivity in Individuals with Schizophrenia and Their SiblingsFrontiers in Human Neuroscience, 6
Tianyi Mao, Deniz Kusefoglu, Bryan Hooks, D. Huber, L. Petreanu, K. Svoboda (2011)
Long-Range Neuronal Circuits Underlying the Interaction between Sensory and Motor CortexNeuron, 72
Proactive inhibition is a critical ability for smokers who seek to moderate or quit smoking. It allows them to pre‐emptively refrain from seeking and using nicotine products, especially when facing salient smoking cues in daily life. Nevertheless, there is limited knowledge on the impact of salient cues on behavioural and neural aspects of proactive inhibition, especially in smokers with nicotine withdrawal. Here, we seek to bridge this gap. To this end, we recruited 26 smokers to complete a stop‐signal anticipant task (SSAT) in two separate sessions: once in the neutral cue condition and once in the smoking cue condition. We used graph‐based modularity analysis to identify the modular structures of proactive inhibition‐related network during the SSAT and further investigated how the interactions within and between these modules could be modulated by different proactive inhibition demands and salient smoking cues. Findings pointed to three stable brain modules involved in the dynamical processes of proactive inhibition: the sensorimotor network (SMN), cognitive control network (CCN) and default‐mode network (DMN). With the increase in demands, functional connectivity increased within the SMN, CCN and between SMN‐CCN and decreased within the DMN and between SMN‐DMN and CCN‐DMN. Salient smoking cues disturbed the effective dynamic interactions of brain modules. The profiles for those functional interactions successfully predicted the behavioural performance of proactive inhibition in abstinent smokers. These findings advance our understanding of the neural mechanisms of proactive inhibition from a large‐scale network perspective. They can shed light on developing specific interventions for abstinent smokers.
Addiction Biology – Wiley
Published: Jun 1, 2023
Keywords: abstinent smokers; brain networks; fMRI; machine learning; modularity; proactive inhibition
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.