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Ngetich R, Villalba-García C, Soborun Y, Vékony T, Czakó A, Demetrovics Z, Németh D. Learning and memory processes in behavioural addiction: A systematic review. Neurosci Biobehav Rev 2024; 163:105747. [PMID: 38870547 DOI: 10.1016/j.neubiorev.2024.105747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/28/2024] [Accepted: 06/01/2024] [Indexed: 06/15/2024]
Abstract
Similar to addictive substances, addictive behaviours such as gambling and gaming are associated with maladaptive modulation of key brain areas and functional networks implicated in learning and memory. Therefore, this review sought to understand how different learning and memory processes relate to behavioural addictions and to unravel their underlying neural mechanisms. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched four databases - PsycINFO, PubMed, Scopus, and Web of Science using the agreed-upon search string. Findings suggest altered executive function-dependent learning processes and enhanced habit learning in behavioural addiction. Whereas the relationship between working memory and behavioural addiction is influenced by addiction type, working memory aspect, and task nature. Additionally, long-term memory is incoherent in individuals with addictive behaviours. Consistently, neurophysiological evidence indicates alterations in brain areas and networks implicated in learning and memory processes in behavioural addictions. Overall, the present review argues that, like substance use disorders, alteration in learning and memory processes may underlie the development and maintenance of behavioural addictions.
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Affiliation(s)
- Ronald Ngetich
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| | | | - Yanisha Soborun
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| | - Teodóra Vékony
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, Bron, France; Department of Education and Psychology, Faculty of Social Sciences, University of Atlántico Medio, Las Palmas de Gran Canaria, Spain
| | - Andrea Czakó
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Zsolt Demetrovics
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary; College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.
| | - Dezső Németh
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, Bron, France; Department of Education and Psychology, Faculty of Social Sciences, University of Atlántico Medio, Las Palmas de Gran Canaria, Spain; BML-NAP Research Group, Institute of Psychology, Eötvös Loránd University & Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
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Wu Y, Wang L, Yu F, Ji GJ, Xiao G, Feifei X, Chunyan Z, Xingui C, Wang K. Intermittent Theta Burst Stimulation (iTBS) as an Optimal Treatment for Schizophrenia Risk Decision: an ERSP Study. Front Psychiatry 2021; 12:594102. [PMID: 34040546 PMCID: PMC8143028 DOI: 10.3389/fpsyt.2021.594102] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 04/07/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: People with schizophrenia have serious impairments in social function, especially in decision-making ability. Transcranial magnetic stimulation modified intermittent theta burst transcranial magnetic stimulation (iTBS) has been shown to regulate the functional connection of brain networks. Our study explored the therapeutic effect of iTBS on decision-making disorders in schizophrenia. Methods: Participants were pseudorandomized and assigned to iTBS (n = 16) or sham (n = 16) group. iTBS group was administered 1,800 pulses on the target of the left dorsol lateral prefrontal cortex (L-DLPFC) per day for 14 consecutive days. We compared Iowa gambling task performance and associated event-related spectral perturbation results (ERSP) among two groups. Results: The results show that participants' performance in the high-lose in the iTBS group had stronger stimulation of theta spectral power than those in the sham group. Specifically, we found that under high-risk conditions, compared with the control group, the iTBS group showed significant activation of the theta spectrum power in the FPZ, FZ, FCZ, and CZ regions after treatment. Conclusions: Our results provide evidence that long-term iTBS stimulation effectively improves the decision-making ability of schizophrenia. After receiving negative feedback, patients can turn to safety options. These findings support that iTBS may be a potential treatment for clinical decision-making disorders.
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Affiliation(s)
- Yang Wu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Lu Wang
- Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Anhui Medical University, Hefei, China
| | - Fengqiong Yu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Gong-Jun Ji
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Guixian Xiao
- Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Anhui Medical University, Hefei, China
| | - Xu Feifei
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Zhu Chunyan
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Chen Xingui
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Kai Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.,Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Anhui Medical University, Hefei, China.,Collaborative Innovation Center for Neuropsychiatric Disorders and Mental Health, Hefei, China
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Early Attentional Modulation by Working Memory Training in Young Adult ADHD Patients during a Risky Decision-Making Task. Brain Sci 2020; 10:brainsci10010038. [PMID: 31936483 PMCID: PMC7017173 DOI: 10.3390/brainsci10010038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 12/17/2019] [Accepted: 01/03/2020] [Indexed: 12/23/2022] Open
Abstract
Background: Working memory (WM) deficits and impaired decision making are among the characteristic symptoms of patients affected by attention deficit/hyperactivity disorder (ADHD). The inattention associated with the disorder is likely to be due to functional deficits of the neural networks inhibiting irrelevant sensory input. In the presence of unnecessary information, a good decisional process is impaired and ADHD patients tend to take risky decisions. This study is aimed to test the hypothesis that the level of difficulty of a WM training (WMT) is affecting the top-down modulation of the attentional processes in a probabilistic gambling task. Methods: Event-related potentials (ERP) triggered by the choice of the amount wagered in the gambling task were recorded, before and after WMT with a the dual n-back task, in young ADHD adults and matched controls. For each group of participants, randomly assigned individuals were requested to perform WMT with a fixed baseline level of difficulty. The remaining participants were trained with a performance-dependent adaptive n-level of difficulty. Results: We compared the ERP recordings before and after 20 days of WMT in each subgroup. The analysis was focused on the time windows with at least three recording sites showing differences before and after training, after Bonferroni correction ( p < 0.05 ). In ADHD, the P1 wave component was selectively affected at frontal sites and its shape was recovered close to controls' only after adaptive training. In controls, the strongest contrast was observed at parietal level with a left hemispheric dominance at latencies near 900 ms, more after baseline than after adaptive training. Conclusion: Partial restoration of early selective attentional processes in ADHD patients might occur after WMT with a high cognitive load. Modified frontal sites' activities might constitute a neural marker of this effect in a gambling task. In controls, conversely, an increase in late parietal negativity might rather be a marker of an increase in transfer effects to fluid intelligence.
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Abstract
OBJECTIVES Amphetamine improves vigilance as assessed by continuous performance tests (CPT) in children and adults with attention deficit hyperactivity disorder (ADHD). Less is known, however, regarding amphetamine effects on vigilance in healthy adults. Thus, it remains unclear whether amphetamine produces general enhancement of vigilance or if these effects are constrained to the remediation of deficits in patients with ADHD. METHODS We tested 69 healthy adults (35 female) on a standardized CPT (Conner's CPT-2) after receiving 10- or 20-mg d-amphetamine or placebo. To evaluate potential effects on learning, impulsivity, and perseveration, participants were additionally tested on the Iowa Gambling Task (IGT) and Wisconsin Card Sorting Task (WCST). RESULTS Participants receiving placebo exhibited the classic vigilance decrement, demonstrated by a significant reduction in attention (D') across the task. This vigilance decrement was not observed, however, after either dose of amphetamine. Consistent with enhanced vigilance, the 20-mg dose also reduced reaction time variability across the task and the ADHD confidence index. The effects of amphetamine appeared to be selective to vigilance since no effects were observed on the IGT, WCST, or response inhibition/perseveration measures from the CPT. CONCLUSIONS The present data support the premise that amphetamine improves vigilance irrespective of disease state. Given that amphetamine is a norepinephrine/dopamine transporter inhibitor and releaser, these effects are informative regarding the neurobiological substrates of attentional control. (JINS, 2018, 24, 283-293).
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Guo Q, Zhou T, Li W, Dong L, Wang S, Zou L. Single-trial EEG-informed fMRI analysis of emotional decision problems in hot executive function. Brain Behav 2017; 7:e00728. [PMID: 28729935 PMCID: PMC5516603 DOI: 10.1002/brb3.728] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 03/13/2017] [Accepted: 04/06/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Executive function refers to conscious control in psychological process which relates to thinking and action. Emotional decision is a part of hot executive function and contains emotion and logic elements. As a kind of important social adaptation ability, more and more attention has been paid in recent years. OBJECTIVE Gambling task can be well performed in the study of emotional decision. As fMRI researches focused on gambling task show not completely consistent brain activation regions, this study adopted EEG-fMRI fusion technology to reveal brain neural activity related with feedback stimuli. METHODS In this study, an EEG-informed fMRI analysis was applied to process simultaneous EEG-fMRI data. First, relative power-spectrum analysis and K-means clustering method were performed separately to extract EEG-fMRI features. Then, Generalized linear models were structured using fMRI data and using different EEG features as regressors. RESULTS The results showed that in the win versus loss stimuli, the activated regions almost covered the caudate, the ventral striatum (VS), the orbital frontal cortex (OFC), and the cingulate. Wide activation areas associated with reward and punishment were revealed by the EEG-fMRI integration analysis than the conventional fMRI results, such as the posterior cingulate and the OFC. The VS and the medial prefrontal cortex (mPFC) were found when EEG power features were performed as regressors of GLM compared with results entering the amplitudes of feedback-related negativity (FRN) as regressors. Furthermore, the brain region activation intensity was the strongest when theta-band power was used as a regressor compared with the other two fusion results. CONCLUSIONS The EEG-based fMRI analysis can more accurately depict the whole-brain activation map and analyze emotional decision problems.
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Affiliation(s)
- Qian Guo
- School of Information Science and Engineering Changzhou University Changzhou Jiangsu China.,Changzhou Key Laboratory of Biomedical Information Technology Changzhou Jiangsu China
| | - Tiantong Zhou
- School of Information Science and Engineering Changzhou University Changzhou Jiangsu China.,Changzhou Key Laboratory of Biomedical Information Technology Changzhou Jiangsu China
| | - Wenjie Li
- School of Information Science and Engineering Changzhou University Changzhou Jiangsu China.,Changzhou Key Laboratory of Biomedical Information Technology Changzhou Jiangsu China
| | - Li Dong
- School of Life Science and Technology University of Electronic Science and Technology of China Chengdu Sichuan China
| | - Suhong Wang
- Changzhou NO.1 People's Hospital affiliated with Suzhou University Changzhou Jiangsu China
| | - Ling Zou
- School of Information Science and Engineering Changzhou University Changzhou Jiangsu China.,Changzhou Key Laboratory of Biomedical Information Technology Changzhou Jiangsu China
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