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Griesius S, Waldron S, Kamenish KA, Cherbanich N, Wilkinson LS, Thomas KL, Hall J, Mellor JR, Dwyer DM, Robinson ESJ. A mild impairment in reversal learning in a bowl-digging substrate deterministic task but not other cognitive tests in the Dlg2+/- rat model of genetic risk for psychiatric disorder. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12865. [PMID: 37705179 PMCID: PMC10733576 DOI: 10.1111/gbb.12865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/15/2023]
Abstract
Variations in the Dlg2 gene have been linked to increased risk for psychiatric disorders, including schizophrenia, autism spectrum disorders, intellectual disability, bipolar disorder, attention deficit hyperactivity disorder, and pubertal disorders. Recent studies have reported disrupted brain circuit function and behaviour in models of Dlg2 knockout and haploinsufficiency. Specifically, deficits in hippocampal synaptic plasticity were found in heterozygous Dlg2+/- rats suggesting impacts on hippocampal dependent learning and cognitive flexibility. Here, we tested these predicted effects with a behavioural characterisation of the heterozygous Dlg2+/- rat model. Dlg2+/- rats exhibited a specific, mild impairment in reversal learning in a substrate deterministic bowl-digging reversal learning task. The performance of Dlg2+/- rats in other bowl digging task, visual discrimination and reversal, novel object preference, novel location preference, spontaneous alternation, modified progressive ratio, and novelty-suppressed feeding test were not impaired. These findings suggest that despite altered brain circuit function, behaviour across different domains is relatively intact in Dlg2+/- rats, with the deficits being specific to only one test of cognitive flexibility. The specific behavioural phenotype seen in this Dlg2+/- model may capture features of the clinical presentation associated with variation in the Dlg2 gene.
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Affiliation(s)
- Simonas Griesius
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Sophie Waldron
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
| | - Katie A. Kamenish
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Nick Cherbanich
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Lawrence S. Wilkinson
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Schools of Medicine and Genetics and Genomics, Schools of Medicine and PsychologyCardiffUK
| | - Kerrie L. Thomas
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of Medicine and PsychologyCardiffUK
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Schools of Medicine and Genetics and Genomics, Schools of Medicine and PsychologyCardiffUK
- Department of Medicine and PsychologyCardiffUK
| | - Jack R. Mellor
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Dominic M. Dwyer
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
| | - Emma S. J. Robinson
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
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Zhao X, Li H, Wang E, Luo X, Han C, Cao Q, Liu L, Chen J, Wang C, Johnstone SJ, Wang Y, Sun L. Neural Correlates of Working Memory Deficits in Different Adult Outcomes of ADHD: An Event-Related Potential Study. Front Psychiatry 2020; 11:348. [PMID: 32425833 PMCID: PMC7206828 DOI: 10.3389/fpsyt.2020.00348] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 04/06/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND We investigated working memory (WM) processing in a longitudinal sample of young adults with persistent and remittent childhood-onset ADHD to investigate the neural correlates of working memory with adult outcomes of ADHD. METHODS Forty-seven young Chinese adults who had been diagnosed with ADHD during childhood underwent follow-up assessments for an average of 9 years. The ADHD sample consisted of 25 ADHD persisters (mean age =18.38 ± 0.5 years) and 22 remitters (mean age = 18.78 ± 1.10 years), who were compared with 25 sex ratio- and IQ-matched healthy adults (mean age = 19.60 ± 1.22 years) in a verbal n-back task. RESULTS No differences in behavioral measures were observed across the three groups. Compared with the healthy controls, the ADHD persisters and remitters had larger N1 amplitudes and smaller P2 amplitudes, while no significant differences between the persistence and remission groups were observed. The P3 amplitudes of the remission and control groups were higher than that of the persistence group, but there was no significant difference between the remitters and healthy controls. CONCLUSION The P3 amplitudes reflecting postdecisional processing and/or WM updating were sensitive to ADHD remission, as they might improve concurrently with ADHD symptoms. These results indicate that the N1, P2, and P3 components of WM processing might be potential biomarkers for different ADHD outcomes.
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Affiliation(s)
- Xixi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Hui Li
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Encong Wang
- Unit of Psychological Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiangsheng Luo
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Chuanliang Han
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Qingjiu Cao
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Lu Liu
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Jin Chen
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Changming Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Stuart J Johnstone
- School of Psychology, Brain & Behaviour Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Yufeng Wang
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Li Sun
- Department of Child Psychiatry, Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorder & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
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Mhalla A, Guedria A, Brahem T, Amamou B, Sboui W, Gaddour N, Gaha L. ADHD in Tunisian Adolescents: Prevalence and Associated Factors. J Atten Disord 2018; 22:154-162. [PMID: 28381094 DOI: 10.1177/1087054717702217] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The aims of the study were to determine the prevalence of ADHD in a population of high school students and to explore the factors associated with this disorder. METHOD This was a cross-sectional study that had included 447 high school students. The diagnosis of ADHD was made by the Adult ADHD Self-Report Scale translated in Arabic language. The sociodemographic and clinical characteristics were evaluated by a preestablished questionnaire. The self-esteem was assessed by the Rosenberg Self-Esteem Scale. RESULTS The prevalence of ADHD was 18.1%. The logistic regression analysis showed an association between the diagnosis of ADHD and the bad relationships with parents (odds ratio [OR] = 16.43; p < 10-3), the presence of personal psychiatric antecedents (OR = 12.16; p < 10-3), internet misuse (OR = 2.39; p = .014), and maltreatment antecedents (OR = 3.16; p = .009). CONCLUSION The prevalence of ADHD in this study was one of the highest prevalence reported. The factors associated with ADHD may have diagnostic and therapeutic implications.
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Affiliation(s)
- Ahmed Mhalla
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
| | - Asma Guedria
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
| | - Takoua Brahem
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
| | - Badii Amamou
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
| | | | - Naoufel Gaddour
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
| | - Lotfi Gaha
- 1 Fattouma Bourguiba University Hospital, Monastir, Tunisia.,2 University of Monastir, Tunisia
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