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Armand S, Langley C, Johansen A, Ozenne B, Overgaard-Hansen O, Larsen K, Jensen PS, Knudsen GM, Sahakian BJ, Stenbæk DS, Fisher PM. Functional brain responses to emotional faces after three to five weeks of intake of escitalopram in healthy individuals: a double-blind, placebo-controlled randomised study. Sci Rep 2024; 14:3149. [PMID: 38326352 PMCID: PMC10850508 DOI: 10.1038/s41598-024-51448-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 01/04/2024] [Indexed: 02/09/2024] Open
Abstract
Short-term intake of selective serotonin reuptake inhibitors (SSRIs) modulates threat-related amygdala responses in healthy individuals. However, how SSRI intake over a clinically relevant time period modulates threat-related amygdala responses is less clear. In a semi-randomised, double-blind, placebo-controlled study of 64 healthy individuals (SSRI n = 32, placebo n = 32), we examined the effect of 3-5 weeks of SSRI escitalopram (20 mg daily) on brain response to angry, fearful and neutral faces using BOLD fMRI. Data was analysed using a whole-brain region-wise approach extracting standardised effects (i.e., Cohen's D). The study was conducted at the Copenhagen University Hospital. A priori, we hypothesised that SSRI would attenuate amygdala responses to angry and fearful faces but not to neutral ones. Whether SSRI modulates correlations between amygdala responses to emotional faces and negative mood states was also explored. Compared to placebo, 3-5 weeks of SSRI intake did not significantly affect the amygdala response to angry, fearful, or neutral faces (|Cohen's D|< 0.2, PFWER = 1). Whole-brain, region-wise analyses revealed significant differences in frontal (|Cohen's D|< 0.6, PFWER < .01) and occipital regions (|Cohen's D|< 0.5, PFWER < .01). SSRI did not modulate correlations between amygdala responses to emotional faces and negative mood states. Our findings indicate that a 3-5 week SSRI intake impacts cortical responses to emotional stimuli, an effect possibly involved in SSRI's therapeutic efficacy.Trial registration Clinical Trials NCT04239339.
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Affiliation(s)
- Sophia Armand
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Annette Johansen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brice Ozenne
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Oliver Overgaard-Hansen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kristian Larsen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Steen Jensen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Dea Siggard Stenbæk
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Patrick MacDonald Fisher
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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2
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Luo Q, Kanen JW, Bari A, Skandali N, Langley C, Knudsen GM, Alsiö J, Phillips BU, Sahakian BJ, Cardinal RN, Robbins TW. Comparable roles for serotonin in rats and humans for computations underlying flexible decision-making. Neuropsychopharmacology 2024; 49:600-608. [PMID: 37914893 PMCID: PMC10789782 DOI: 10.1038/s41386-023-01762-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 09/22/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
Serotonin is critical for adapting behavior flexibly to meet changing environmental demands. Cognitive flexibility is important for successful attainment of goals, as well as for social interactions, and is frequently impaired in neuropsychiatric disorders, including obsessive-compulsive disorder. However, a unifying mechanistic framework accounting for the role of serotonin in behavioral flexibility has remained elusive. Here, we demonstrate common effects of manipulating serotonin function across two species (rats and humans) on latent processes supporting choice behavior during probabilistic reversal learning, using computational modelling. The findings support a role of serotonin in behavioral flexibility and plasticity, indicated, respectively, by increases or decreases in choice repetition ('stickiness') or reinforcement learning rates following manipulations intended to increase or decrease serotonin function. More specifically, the rate at which expected value increased following reward and decreased following punishment (reward and punishment 'learning rates') was greatest after sub-chronic administration of the selective serotonin reuptake inhibitor (SSRI) citalopram (5 mg/kg for 7 days followed by 10 mg/kg twice a day for 5 days) in rats. Conversely, humans given a single dose of an SSRI (20 mg escitalopram), which can decrease post-synaptic serotonin signalling, and rats that received the neurotoxin 5,7-dihydroxytryptamine (5,7-DHT), which destroys forebrain serotonergic neurons, exhibited decreased reward learning rates. A basic perseverative tendency ('stickiness'), or choice repetition irrespective of the outcome produced, was likewise increased in rats after the 12-day SSRI regimen and decreased after single dose SSRI in humans and 5,7-DHT in rats. These common effects of serotonergic manipulations on rats and humans-identified via computational modelling-suggest an evolutionarily conserved role for serotonin in plasticity and behavioral flexibility and have clinical relevance transdiagnostically for neuropsychiatric disorders.
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Affiliation(s)
- Qiang Luo
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, P. R. China.
- Center for Computational Psychiatry, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Human Phenome Institute, Fudan University, Shanghai, 200433, China.
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK.
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK.
| | - Jonathan W Kanen
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | | | - Nikolina Skandali
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Christelle Langley
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Gitte Moos Knudsen
- Neurobiology Research Unit, the Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Johan Alsiö
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Benjamin U Phillips
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Barbara J Sahakian
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, P. R. China
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Rudolf N Cardinal
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - Trevor W Robbins
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, P. R. China.
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK.
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK.
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3
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Li Z, Ma Q, Deng Y, Rolls ET, Shen C, Li Y, Zhang W, Xiang S, Langley C, Sahakian BJ, Robbins TW, Yu JT, Feng J, Cheng W. Irritable Bowel Syndrome Is Associated With Brain Health by Neuroimaging, Behavioral, Biochemical, and Genetic Analyses. Biol Psychiatry 2024:S0006-3223(24)00027-1. [PMID: 38199582 DOI: 10.1016/j.biopsych.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/14/2023] [Accepted: 12/13/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Irritable bowel syndrome (IBS) interacts with psychopathology in a complex way; however, little is known about the underlying brain, biochemical, and genetic mechanisms. METHODS To clarify the phenotypic and genetic associations between IBS and brain health, we performed a comprehensive retrospective cohort study on a large population. Our study included 171,104 participants from the UK Biobank who underwent a thorough assessment of IBS, with the majority also providing neuroimaging, behavioral, biochemical, and genetic information. Multistage linked analyses were conducted, including phenome-wide association analysis, polygenic risk score calculation, and 2-sample Mendelian randomization analysis. RESULTS The phenome-wide association analysis showed that IBS was linked to brain health problems, including anxiety and depression, and poor cognitive performance. Significantly lower brain volumes associated with more severe IBS were found in key areas related to emotional regulation and higher-order cognition, including the medial orbitofrontal cortex/ventromedial prefrontal cortex, anterior insula, anterior and mid-cingulate cortices, dorsolateral prefrontal cortex, and hippocampus. Higher triglycerides, lower high-intensity lipoprotein, and lower platelets were also related (p < 1 × 10-10) to more severe IBS. Finally, Mendelian randomization analyses demonstrated potential causal relationships between IBS and brain health and indicated possible mediating effects of dyslipidemia and inflammation. CONCLUSIONS For the first time, this study provides a comprehensive understanding of the relationship between IBS and brain health phenotypes, integrating perspectives from neuroimaging, behavioral performance, biochemical factors, and genetics, which is of great significance for clinical applications to potentially address brain health impairments in patients with IBS.
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Affiliation(s)
- Zeyu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Qing Ma
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yueting Deng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Edmund T Rolls
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; Oxford Centre for Computational Neuroscience, Oxford, United Kingdom.
| | - Chun Shen
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yuzhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Jin-Tai Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, China.
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, China.
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4
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Sun YJ, Sahakian BJ, Langley C, Yang A, Jiang Y, Kang J, Zhao X, Li C, Cheng W, Feng J. Early-initiated childhood reading for pleasure: associations with better cognitive performance, mental well-being and brain structure in young adolescence. Psychol Med 2024; 54:359-373. [PMID: 37376848 DOI: 10.1017/s0033291723001381] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
BACKGROUND Childhood is a crucial neurodevelopmental period. We investigated whether childhood reading for pleasure (RfP) was related to young adolescent assessments of cognition, mental health, and brain structure. METHODS We conducted a cross-sectional and longitudinal study in a large-scale US national cohort (10 000 + young adolescents), using the well-established linear mixed model and structural equation methods for twin study, longitudinal and mediation analyses. A 2-sample Mendelian randomization (MR) analysis for potential causal inference was also performed. Important factors including socio-economic status were controlled. RESULTS Early-initiated long-standing childhood RfP (early RfP) was highly positively correlated with performance on cognitive tests and significantly negatively correlated with mental health problem scores of young adolescents. These participants with higher early RfP scores exhibited moderately larger total brain cortical areas and volumes, with increased regions including the temporal, frontal, insula, supramarginal; left angular, para-hippocampal; right middle-occipital, anterior-cingulate, orbital areas; and subcortical ventral-diencephalon and thalamus. These brain structures were significantly related to their cognitive and mental health scores, and displayed significant mediation effects. Early RfP was longitudinally associated with higher crystallized cognition and lower attention symptoms at follow-up. Approximately 12 h/week of youth regular RfP was cognitively optimal. We further observed a moderately significant heritability of early RfP, with considerable contribution from environments. MR analysis revealed beneficial causal associations of early RfP with adult cognitive performance and left superior temporal structure. CONCLUSIONS These findings, for the first time, revealed the important relationships of early RfP with subsequent brain and cognitive development and mental well-being.
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Affiliation(s)
- Yun-Jun Sun
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Christelle Langley
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Anyi Yang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yuchao Jiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Xingming Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Chunhe Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
- Zhangjiang Fudan International Innovation Center, Shanghai, China
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5
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Williams MGL, Thai NJ, Liang K, De Garate E, Hartley-Davies R, Lawton C, Langley C, Hinton EC, Bucciarelli-Ducci C. Heart and Brain Changes in Acute Coronary Syndromes. JACC Cardiovasc Imaging 2024; 17:101-103. [PMID: 37715772 DOI: 10.1016/j.jcmg.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 06/06/2023] [Accepted: 07/13/2023] [Indexed: 09/18/2023]
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Johansen A, Armand S, Plavén-Sigray P, Nasser A, Ozenne B, Petersen IN, Keller SH, Madsen J, Beliveau V, Møller K, Vassilieva A, Langley C, Svarer C, Stenbæk DS, Sahakian BJ, Knudsen GM. Effects of escitalopram on synaptic density in the healthy human brain: a randomized controlled trial. Mol Psychiatry 2023; 28:4272-4279. [PMID: 37814129 PMCID: PMC10827655 DOI: 10.1038/s41380-023-02285-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/21/2023] [Accepted: 09/28/2023] [Indexed: 10/11/2023]
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are widely used for treating neuropsychiatric disorders. However, the exact mechanism of action and why effects can take several weeks to manifest is not clear. The hypothesis of neuroplasticity is supported by preclinical studies, but the evidence in humans is limited. Here, we investigate the effects of the SSRI escitalopram on presynaptic density as a proxy for synaptic plasticity. In a double-blind placebo-controlled study (NCT04239339), 32 healthy participants with no history of psychiatric or cognitive disorders were randomized to receive daily oral dosing of either 20 mg escitalopram (n = 17) or a placebo (n = 15). After an intervention period of 3-5 weeks, participants underwent a [11C]UCB-J PET scan (29 with full arterial input function) to quantify synaptic vesicle glycoprotein 2A (SV2A) density in the hippocampus and the neocortex. Whereas we find no statistically significant group difference in SV2A binding after an average of 29 (range: 24-38) days of intervention, our secondary analyses show a time-dependent effect of escitalopram on cerebral SV2A binding with positive associations between [11C]UCB-J binding and duration of escitalopram intervention. Our findings suggest that brain synaptic plasticity evolves over 3-5 weeks in healthy humans following daily intake of escitalopram. This is the first in vivo evidence to support the hypothesis of neuroplasticity as a mechanism of action for SSRIs in humans and it offers a plausible biological explanation for the delayed treatment response commonly observed in patients treated with SSRIs. While replication is warranted, these results have important implications for the design of future clinical studies investigating the neurobiological effects of SSRIs.
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Affiliation(s)
- Annette Johansen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sophia Armand
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pontus Plavén-Sigray
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Arafat Nasser
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Brice Ozenne
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Ida N Petersen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Sune H Keller
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Jacob Madsen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Vincent Beliveau
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kirsten Møller
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neuroanaesthesiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Alexandra Vassilieva
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neuroanaesthesiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | | | - Claus Svarer
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Dea S Stenbæk
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Gitte M Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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7
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Tong K, Chan YN, Cheng X, Cheon B, Ellefson M, Fauziana R, Feng S, Fischer N, Gulyás B, Hoo N, Hung D, Kalaivanan K, Langley C, Lee KM, Lee LL, Lee T, Melani I, Melia N, Pei JY, Raghani L, Sam YL, Seow P, Suckling J, Tan YF, Teo CL, Uchiyama R, Yap HS, Christopoulos G, Hendriks H, Chen A, Robbins T, Sahakian B, Kourtzi Z, Leong V. Study protocol: How does cognitive flexibility relate to other executive functions and learning in healthy young adults? PLoS One 2023; 18:e0286208. [PMID: 37471399 PMCID: PMC10358919 DOI: 10.1371/journal.pone.0286208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 05/10/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Cognitive flexibility (CF) enables individuals to readily shift from one concept or mode of practice/thoughts to another in response to changes in the environment and feedback, making CF vital to optimise success in obtaining goals. However, how CF relates to other executive functions (e.g., working memory, response inhibition), mental abilities (e.g., creativity, literacy, numeracy, intelligence, structure learning), and social factors (e.g., multilingualism, tolerance of uncertainty, perceived social support, social decision-making) is less well understood. The current study aims to (1) establish the construct validity of CF in relation to other executive function skills and intelligence, and (2) elucidate specific relationships between CF, structure learning, creativity, career decision making and planning, and other life skills. METHODS This study will recruit up to 400 healthy Singaporean young adults (age 18-30) to complete a wide range of cognitive tasks and social questionnaires/tasks. The richness of the task/questionnaire battery and within-participant administration enables us to use computational modelling and structural equation modelling to examine connections between the latent constructs of interest. SIGNIFICANCE AND IMPACT The current study is the first systematic investigation into the construct validity of CF and its interrelationship with other important cognitive skills such as learning and creativity, within an Asian context. The study will further explore the concept of CF as a non-unitary construct, a novel theoretical proposition in the field. The inclusion of a structure learning paradigm is intended to inform future development of a novel intervention paradigm to enhance CF. Finally, the results of the study will be useful for informing classroom pedagogy and the design of lifelong learning policies and curricula, as part of the wider remit of the Cambridge-NTU Centre for Lifelong Learning and Individualised Cognition (CLIC).
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Affiliation(s)
- Ke Tong
- Nanyang Technological University, Singapore, Singapore
| | - Yuan Ni Chan
- Nanyang Technological University, Singapore, Singapore
| | - Xiaoqin Cheng
- Nanyang Technological University, Singapore, Singapore
| | - Bobby Cheon
- National Institutes of Health, Bethesda, Maryland, United States of America
| | | | | | | | | | - Balázs Gulyás
- Nanyang Technological University, Singapore, Singapore
| | - Natalie Hoo
- Nanyang Technological University, Singapore, Singapore
| | - David Hung
- National Institute of Education, Singapore, Singapore
| | | | | | - Kean Mun Lee
- Nanyang Technological University, Singapore, Singapore
| | - Li Ling Lee
- Nanyang Technological University, Singapore, Singapore
| | - Timothy Lee
- National Institute of Education, Singapore, Singapore
| | - Irene Melani
- Nanyang Technological University, Singapore, Singapore
| | | | - Jia Ying Pei
- Nanyang Technological University, Singapore, Singapore
| | - Lisha Raghani
- Nanyang Technological University, Singapore, Singapore
| | - Yoke Loo Sam
- Nanyang Technological University, Singapore, Singapore
| | - Peter Seow
- National Institute of Education, Singapore, Singapore
| | | | - Yan Fen Tan
- Nanyang Technological University, Singapore, Singapore
| | - Chew Lee Teo
- National Institute of Education, Singapore, Singapore
| | | | - Hui Shan Yap
- Nanyang Technological University, Singapore, Singapore
| | | | | | - Annabel Chen
- Nanyang Technological University, Singapore, Singapore
| | | | | | - Zoe Kourtzi
- University of Cambridge, Cambridge, United Kingdom
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8
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Shen C, Rolls ET, Xiang S, Langley C, Sahakian BJ, Cheng W, Feng J. Brain and molecular mechanisms underlying the nonlinear association between close friendships, mental health, and cognition in children. eLife 2023; 12:e84072. [PMID: 37399053 DOI: 10.7554/elife.84072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 05/31/2023] [Indexed: 07/04/2023] Open
Abstract
Close friendships are important for mental health and cognition in late childhood. However, whether the more close friends the better, and the underlying neurobiological mechanisms are unknown. Using the Adolescent Brain Cognitive Developmental study, we identified nonlinear associations between the number of close friends, mental health, cognition, and brain structure. Although few close friends were associated with poor mental health, low cognitive functions, and small areas of the social brain (e.g., the orbitofrontal cortex, the anterior cingulate cortex, the anterior insula, and the temporoparietal junction), increasing the number of close friends beyond a level (around 5) was no longer associated with better mental health and larger cortical areas, and was even related to lower cognition. In children having no more than five close friends, the cortical areas related to the number of close friends revealed correlations with the density of μ-opioid receptors and the expression of OPRM1 and OPRK1 genes, and could partly mediate the association between the number of close friends, attention-deficit/hyperactivity disorder (ADHD) symptoms, and crystalized intelligence. Longitudinal analyses showed that both too few and too many close friends at baseline were associated with more ADHD symptoms and lower crystalized intelligence 2 y later. Additionally, we found that friendship network size was nonlinearly associated with well-being and academic performance in an independent social network dataset of middle-school students. These findings challenge the traditional idea of 'the more, the better,' and provide insights into potential brain and molecular mechanisms.
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Affiliation(s)
- Chun Shen
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science (Fudan University), Ministry of Education, Shanghai, China
| | - Edmund T Rolls
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, United Kingdom
- Oxford Centre for Computational Neuroscience, Oxford, United Kingdom
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science (Fudan University), Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, United Kingdom
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
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9
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Langley C, Masuda N, Godwin S, De Marco G, Smith AD, Jones R, Bruce J, Thai NJ. Dysfunction of basal ganglia functional connectivity associated with subjective and cognitive fatigue in multiple sclerosis. Front Neurosci 2023; 17:1194859. [PMID: 37332875 PMCID: PMC10272433 DOI: 10.3389/fnins.2023.1194859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Objectives Central fatigue is one of the most common symptoms in multiple sclerosis (MS). It has a profound impact on quality of life and a negative effect on cognition. Despite its widespread impact, fatigue is poorly understood and very difficult to measure. Whilst the basal ganglia has been implicated in fatigue the nature of its role and involvement with fatigue is still unclear. The aim of the present study was to establish the role of the basal ganglia in MS fatigue using functional connectivity measures. Methods The present study examined the functional connectivity (FC) of the basal ganglia in a functional MRI study with 40 female participants with MS (mean age = 49.98 (SD = 9.65) years) and 40 female age-matched (mean age = 49.95 (SD = 9.59) years) healthy controls (HC). To measure fatigue the study employed the subjective self-report Fatigue Severity Scale and a performance measure of cognitive fatigue using an alertness-motor paradigm. To distinguish physical and central fatigue force measurements were also recorded. Results The results suggest that decreased local FC within the basal ganglia plays a key role in cognitive fatigue in MS. Increased global FC between the basal ganglia and the cortex may sub serve a compensatory mechanism to reduce the impact of fatigue in MS. Conclusion The current study is the first to show that basal ganglia functional connectivity is associated with both subjective and objective fatigue in MS. In addition, the local FC of the basal ganglia during fatigue inducing tasks could provide a neurophysiological biomarker of fatigue.
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Affiliation(s)
- Christelle Langley
- CRIC Bristol, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Naoki Masuda
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
- Department of Mathematics, State University of New York at Buffalo, Buffalo, NY, United States
| | - Simon Godwin
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Giovanni De Marco
- Laboratoire CeRSM (EA-2931), UPL, Université Paris Nanterre, Nanterre, France
| | - Angela Davies Smith
- Bristol and Avon Multiple Sclerosis Centre, The Brain Centre, Southmead Hospital, Bristol, United Kingdom
| | - Rosemary Jones
- Bristol and Avon Multiple Sclerosis Centre, The Brain Centre, Southmead Hospital, Bristol, United Kingdom
| | - Jared Bruce
- Department of Biomedical and Health Informatics, University of Missouri – Kansas City School of Medicine, Kansas City, MO, United States
| | - Ngoc Jade Thai
- CRIC Bristol, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Mental Health Research for Innovation Centre, Mersey Care NHS Foundation Trust, Hollins Park House, Warrington, United Kingdom
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10
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Luo L, Langley C, Moreno-Lopez L, Kendrick K, Menon DK, Stamatakis EA, Sahakian BJ. Depressive symptoms following traumatic brain injury are associated with resting-state functional connectivity. Psychol Med 2023; 53:2698-2705. [PMID: 37310305 PMCID: PMC10123829 DOI: 10.1017/s0033291721004724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 10/21/2021] [Accepted: 10/29/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND To determine whether depressive symptoms in traumatic brain injury (TBI) patients were associated with altered resting-state functional connectivity (rs-fc) or voxel-based morphology in brain regions involved in emotional regulation and associated with depression. METHODS In the present study, we examined 79 patients (57 males; age range = 17-70 years, M ± s.d. = 38 ± 16.13; BDI-II, M ± s.d. = 9.84 ± 8.67) with TBI. We used structural MRI and resting-state fMRI to examine whether there was a relationship between depression, as measured with the Beck Depression Inventory (BDI-II), and the voxel-based morphology or functional connectivity in regions previously identified as involved in emotional regulation in patients following TBI. Patients were at least 4 months post-TBI (M ± s.d. = 15.13 ± 11.67 months) and the severity of the injury included mild to severe cases [Glasgow Coma Scale (GCS), M ± s.d. = 6.87 ± 3.31]. RESULTS Our results showed that BDI-II scores were unrelated to voxel-based morphology in the examined regions. We found a positive association between depression scores and rs-fc between limbic regions and cognitive control regions. Conversely, there was a negative association between depression scores and rs-fc between limbic and frontal regions involved in emotion regulation. CONCLUSION These findings lead to a better understanding of the exact mechanisms that contribute to depression following TBI and better inform treatment decisions.
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Affiliation(s)
- Lizhu Luo
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Laura Moreno-Lopez
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Keith Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - David K. Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Emmanuel A. Stamatakis
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
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11
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Skumlien M, Freeman TP, Hall D, Mokrysz C, Wall MB, Ofori S, Petrilli K, Trinci K, Borissova A, Fernandez-Vinson N, Langley C, Sahakian BJ, Curran HV, Lawn W. The Effects of Acute Cannabis With and Without Cannabidiol on Neural Reward Anticipation in Adults and Adolescents. Biol Psychiatry Cogn Neurosci Neuroimaging 2023; 8:219-229. [PMID: 36642667 DOI: 10.1016/j.bpsc.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Adolescents may respond differently to cannabis than adults, yet no previous functional magnetic resonance imaging study has examined acute cannabis effects in this age group. In this study, we investigated the neural correlates of reward anticipation after acute exposure to cannabis in adolescents and adults. METHODS This was a double-blind, placebo-controlled, randomized, crossover experiment. Forty-seven adolescents (n = 24, 12 females, ages 16-17 years) and adults (n = 23, 11 females, ages 26-29 years) matched on cannabis use frequency (0.5-3 days/week) completed the Monetary Incentive Delay task during functional magnetic resonance imaging after inhaling cannabis with 0.107 mg/kg Δ⁹-tetrahydrocannabinol ("THC") (8 mg THC for a 75-kg person) or with THC plus 0.320 mg/kg cannabidiol ("THC+CBD") (24 mg CBD for a 75-kg person), or placebo cannabis. We investigated reward anticipation activity with whole-brain analyses and region of interest analyses in the right and left ventral striatum, right and left anterior cingulate cortex, and right insula. RESULTS THC reduced anticipation activity compared with placebo in the right (p = .005, d= 0.49) and left (p = .003, d = 0.50) ventral striatum and the right insula (p = .01, d = 0.42). THC+CBD reduced activity compared with placebo in the right ventral striatum (p = .01, d = 0.41) and right insula (p = .002, d = 0.49). There were no differences between "THC" and "THC+CBD" conditions and no significant drug by age group interaction effect, supported by Bayesian analyses. There were no significant effects in the whole-brain analyses. CONCLUSIONS In weekly cannabis users, cannabis suppresses the brain's anticipatory reward response to money, and CBD does not modulate this effect. Furthermore, the adolescent reward circuitry is not differentially sensitive to acute effects of cannabis on reward anticipation.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom.
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Addiction and Mental Health Group, Department of Psychology, University of Bath, Bath, United Kingdom
| | - Daniel Hall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Matthew B Wall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Invicro, London, United Kingdom; Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Kat Petrilli
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Addiction and Mental Health Group, Department of Psychology, University of Bath, Bath, United Kingdom
| | - Katie Trinci
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Anna Borissova
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Natalia Fernandez-Vinson
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Will Lawn
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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12
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Skumlien M, Mokrysz C, Freeman TP, Valton V, Wall MB, Bloomfield M, Lees R, Borissova A, Petrilli K, Giugliano M, Clisu D, Langley C, Sahakian BJ, Curran HV, Lawn W. Anhedonia, Apathy, Pleasure, and Effort-Based Decision-Making in Adult and Adolescent Cannabis Users and Controls. Int J Neuropsychopharmacol 2023; 26:9-19. [PMID: 35999024 PMCID: PMC9850660 DOI: 10.1093/ijnp/pyac056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/27/2022] [Accepted: 08/23/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Cannabis use may be linked with anhedonia and apathy. However, previous studies have shown mixed results, and few have examined the association between cannabis use and specific reward sub-processes. Adolescents may be more vulnerable than adults to harmful effects of cannabis. This study investigated (1) the association between non-acute cannabis use and apathy, anhedonia, pleasure, and effort-based decision-making for reward; and (2) whether these relationships were moderated by age group. METHODS We used data from the "CannTeen" study. Participants were 274 adult (26-29 years) and adolescent (16-17 years) cannabis users (1-7 d/wk use in the past 3 months) and gender- and age-matched controls. Anhedonia was measured with the Snaith-Hamilton Pleasure Scale (n = 274), and apathy was measured with the Apathy Evaluation Scale (n = 215). Effort-based decision-making for reward was measured with the Physical Effort task (n = 139), and subjective wanting and liking of rewards was measured with the novel Real Reward Pleasure task (n = 137). RESULTS Controls had higher levels of anhedonia than cannabis users (F1,258 = 5.35, P = .02, η p2 = .02). There were no other significant effects of user-group and no significant user-group*age-group interactions. Null findings were supported by post hoc Bayesian analyses. CONCLUSION Our results suggest that cannabis use at a frequency of 3 to 4 d/wk is not associated with apathy, effort-based decision-making for reward, reward wanting, or reward liking in adults or adolescents. Cannabis users had lower anhedonia than controls, albeit at a small effect size. These findings are not consistent with the hypothesis that non-acute cannabis use is associated with amotivation.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Vincent Valton
- Institute of Cognitive Neuroscience, Division of Psychology and Language Sciences, University College London, London, UK
| | - Matthew B Wall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | | | - Rachel Lees
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Kat Petrilli
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Manuela Giugliano
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Denisa Clisu
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Will Lawn
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Department of Addictions, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
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13
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Williams MGL, Thai NJ, Liang K, De Garate E, Hartley-Davies R, Lawton CB, Langley C, Hinton E, Bucciarelli-Ducci C. Functional heart and brain changes in acute coronary syndromes. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Aims
To investigate whether there are functional brain differences, or differences in global network measures, between patients with acute coronary syndrome (ACS) and non-obstructive coronary arteries and patients with an ST-elevation myocardial infarction (STEMI) and healthy controls.
Methods and results
In this single centre, prospective cohort study, all patients <80 years who presented to a tertiary cardiac centre with a suspected acute coronary syndrome and who had non-obstructive coronary arteries on invasive angiography were approached for inclusion. Age and sex matched patients presenting with a STEMI and a further group of healthy volunteers were recruited as control groups. All patients received routine clinical care and investigations and underwent additional psychological questionnaires, cardiac magnetic resonance imaging and functional brain imaging within 14 days of admission. Image pre-processing and analysis was undertaken in a blinded fashion.
72 participants, in addition to 27 STEMI controls and 28 healthy controls, were recruited. Median age in the participant group was 57 years (IQR 47–66 years) and patients were scanned 6 days (IQR 3–8 days) from admission. Patients with ACS and non-obstructive arteries had increased functional connectivity in the default mode network and reduced connectivity in the central executive network compared to controls (Figure 1). They also had higher anxiety scores compared to STEMI and healthy controls and higher depression and stress scores compared to healthy controls (Figure 2). There was no difference in any global network measure between participants and age and sex matched controls however high anxiety or stress scores were associated with lower global efficiency in patients with ACS and non-obstructive coronary arteries but not in controls (Figure 2).
Conclusion
Patients with ACS and non-obstructive coronary arteries are distinct from both the STEMI and healthy population in terms of their psychological and neurofunctional state and this may have important future therapeutic implications for patients.
Funding Acknowledgement
Type of funding sources: Foundation. Main funding source(s): James Tudor FoundationRosetrees Trust
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Affiliation(s)
- M G L Williams
- Bristol Heart Institute, Cardiology , Bristol , United Kingdom
| | - N J Thai
- University of Bristol , Bristol , United Kingdom
| | - K Liang
- Bristol Heart Institute, Cardiology , Bristol , United Kingdom
| | - E De Garate
- Bristol Heart Institute, Cardiology , Bristol , United Kingdom
| | | | - C B Lawton
- Bristol Heart Institute, Cardiology , Bristol , United Kingdom
| | - C Langley
- University of Cambridge, Department of Psychiatry , Cambridge , United Kingdom
| | - E Hinton
- University of Bristol , Bristol , United Kingdom
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Skumlien M, Mokrysz C, Freeman TP, Wall MB, Bloomfield M, Lees R, Borissova A, Petrilli K, Carson J, Coughlan T, Ofori S, Langley C, Sahakian BJ, Curran HV, Lawn W. Neural responses to reward anticipation and feedback in adult and adolescent cannabis users and controls. Neuropsychopharmacology 2022; 47:1976-1983. [PMID: 35388175 PMCID: PMC9485226 DOI: 10.1038/s41386-022-01316-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 12/12/2022]
Abstract
Chronic use of drugs may alter the brain's reward system, though the extant literature concerning long-term cannabis use and neural correlates of reward processing has shown mixed results. Adolescents may be more vulnerable to the adverse effects of cannabis than adults; however, this has not been investigated for reward processing. As part of the 'CannTeen' study, in the largest functional magnetic resonance imaging study of reward processing and cannabis use to date, we investigated reward anticipation and feedback in 125 adult (26-29 years) and adolescent (16-17 years) cannabis users (1-7 days/week cannabis use) and gender- and age-matched controls, using the Monetary Incentive Delay task. Blood-oxygen-level-dependent responses were examined using region of interest (ROI) analyses in the bilateral ventral striatum for reward anticipation and right ventral striatum and left ventromedial prefrontal cortex for feedback, and exploratory whole-brain analyses. Results showed no User-Group or User-Group × Age-Group effects during reward anticipation or feedback in pre-defined ROIs. These null findings were supported by post hoc Bayesian analyses. However, in the whole-brain analysis, cannabis users had greater feedback activity in the prefrontal and inferior parietal cortex compared to controls. In conclusion, cannabis users and controls had similar neural responses during reward anticipation and in hypothesised reward-related regions during reward feedback. The whole-brain analysis revealed tentative evidence of greater fronto-parietal activity in cannabis users during feedback. Adolescents showed no increased vulnerability compared with adults. Overall, reward anticipation and feedback processing appear spared in adolescent and adult cannabis users, but future longitudinal studies are needed to corroborate this.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK.
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Matthew B Wall
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
- Invicro, London, UK
- Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | | | - Rachel Lees
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Kat Petrilli
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - James Carson
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Tiernan Coughlan
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
| | - Will Lawn
- Clinical Psychopharmacology Unit, Clinical, Educational and Health Psychology Department, University College London, London, UK
- National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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15
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Li Q, Zhang L, Shan H, Yu J, Dai Y, He H, Li WG, Langley C, Sahakian BJ, Yao Y, Luo Q, Li F. The immuno-behavioural covariation associated with the treatment response to bumetanide in young children with autism spectrum disorder. Transl Psychiatry 2022; 12:228. [PMID: 35660740 PMCID: PMC9166783 DOI: 10.1038/s41398-022-01987-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 05/21/2022] [Accepted: 05/25/2022] [Indexed: 11/09/2022] Open
Abstract
Bumetanide, a drug being studied in autism spectrum disorder (ASD) may act to restore gamma-aminobutyric acid (GABA) function, which may be modulated by the immune system. However, the interaction between bumetanide and the immune system remains unclear. Seventy-nine children with ASD were analysed from a longitudinal sample for a 3-month treatment of bumetanide. The covariation between symptom improvements and cytokine changes was calculated and validated by sparse canonical correlation analysis. Response patterns to bumetanide were revealed by clustering analysis. Five classifiers were used to test whether including the baseline information of cytokines could improve the prediction of the response patterns using an independent test sample. An immuno-behavioural covariation was identified between symptom improvements in the Childhood Autism Rating Scale (CARS) and the cytokine changes among interferon (IFN)-γ, monokine induced by gamma interferon and IFN-α2. Using this covariation, three groups with distinct response patterns to bumetanide were detected, including the best (21.5%, n = 17; Hedge's g of improvement in CARS = 2.16), the least (22.8%, n = 18; g = 1.02) and the medium (55.7%, n = 44; g = 1.42) responding groups. Including the cytokine levels significantly improved the prediction of the best responding group before treatment (the best area under the curve, AUC = 0.832) compared with the model without the cytokine levels (95% confidence interval of the improvement in AUC was [0.287, 0.319]). Cytokine measurements can help in identifying possible responders to bumetanide in ASD children, suggesting that immune responses may interact with the mechanism of action of bumetanide to enhance the GABA function in ASD.
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Affiliation(s)
- Qingyang Li
- grid.8547.e0000 0001 0125 2443Department of Computational Biology, School of Life Sciences, Fudan University, 200438 Shanghai, China
| | - Lingli Zhang
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Haidi Shan
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Juehua Yu
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China ,grid.414902.a0000 0004 1771 3912Center for Experimental Studies and Research, The First Affiliated Hospital of Kunming Medical University, 650032 Kunming, China
| | - Yuan Dai
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Hua He
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Wei-Guang Li
- grid.16821.3c0000 0004 0368 8293Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Christelle Langley
- grid.5335.00000000121885934Department of Psychiatry and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB21TN UK
| | - Barbara J. Sahakian
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China ,grid.5335.00000000121885934Department of Psychiatry and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB21TN UK ,grid.8547.e0000 0001 0125 2443National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433 Shanghai, China
| | - Yin Yao
- grid.8547.e0000 0001 0125 2443Department of Computational Biology, School of Life Sciences, Fudan University, 200438 Shanghai, China ,grid.8547.e0000 0001 0125 2443Human Phenome Institute, Fudan University, 201203 Shanghai, China
| | - Qiang Luo
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433, Shanghai, China. .,Human Phenome Institute, Fudan University, 201203, Shanghai, China. .,Center for Computational Psychiatry, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired, Research Institute of Intelligent Complex Systems, Fudan University, 200040, Shanghai, China.
| | - Fei Li
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092, Shanghai, China.
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16
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Langley C, Cîrstea BI, Cuzzolin F, Sahakian BJ. Editorial: Theory of Mind in Humans and in Machines. Front Artif Intell 2022; 5:917565. [PMID: 35647531 PMCID: PMC9134822 DOI: 10.3389/frai.2022.917565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 04/20/2022] [Indexed: 12/02/2022] Open
Affiliation(s)
- Christelle Langley
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
- *Correspondence: Christelle Langley
| | - Bogdan-Ionuţ Cîrstea
- School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom
| | - Fabio Cuzzolin
- School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom
| | - Barbara Jacquelyn Sahakian
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
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17
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Li Y, Sahakian BJ, Kang J, Langley C, Zhang W, Xie C, Xiang S, Yu J, Cheng W, Feng J. The brain structure and genetic mechanisms underlying the nonlinear association between sleep duration, cognition and mental health. Nat Aging 2022; 2:425-437. [PMID: 37118065 DOI: 10.1038/s43587-022-00210-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 03/17/2022] [Indexed: 04/30/2023]
Abstract
Sleep duration, psychiatric disorders and dementias are closely interconnected in older adults. However, the underlying genetic mechanisms and brain structural changes are unknown. Using data from the UK Biobank for participants primarily of European ancestry aged 38-73 years, including 94% white people, we identified a nonlinear association between sleep, with approximately 7 h as the optimal sleep duration, and genetic and cognitive factors, brain structure, and mental health as key measures. The brain regions most significantly underlying this interconnection included the precentral cortex, the lateral orbitofrontal cortex and the hippocampus. Longitudinal analysis revealed that both insufficient and excessive sleep duration were significantly associated with a decline in cognition on follow up. Furthermore, mediation analysis and structural equation modeling identified a unified model incorporating polygenic risk score (PRS), sleep, brain structure, cognition and mental health. This indicates that possible genetic mechanisms and brain structural changes may underlie the nonlinear relationship between sleep duration and cognition and mental health.
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Affiliation(s)
- Yuzhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Christelle Langley
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Chao Xie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Jintai Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Shanghai Medical College and Zhongshan Hosptital Immunotherapy Technology Transfer Center, Shanghai, China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, UK.
- School of Data Science, Fudan University, Shanghai, China.
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18
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Li Y, Sahakian BJ, Kang J, Langley C, Zhang W, Xie C, Xiang S, Yu J, Cheng W, Feng J. Author Correction: The brain structure and genetic mechanisms underlying the nonlinear association between sleep duration, cognition and mental health. Nat Aging 2022; 2:453. [PMID: 37118078 DOI: 10.1038/s43587-022-00230-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Yuzhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Christelle Langley
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Chao Xie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Jintai Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Shanghai Medical College and Zhongshan Hosptital Immunotherapy Technology Transfer Center, Shanghai, China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, UK.
- School of Data Science, Fudan University, Shanghai, China.
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19
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Langley C, Cirstea BI, Cuzzolin F, Sahakian BJ. Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review. Front Artif Intell 2022; 5:778852. [PMID: 35493614 PMCID: PMC9038841 DOI: 10.3389/frai.2022.778852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 03/10/2022] [Indexed: 11/13/2022] Open
Abstract
Theory of Mind (ToM)-the ability of the human mind to attribute mental states to others-is a key component of human cognition. In order to understand other people's mental states or viewpoint and to have successful interactions with others within social and occupational environments, this form of social cognition is essential. The same capability of inferring human mental states is a prerequisite for artificial intelligence (AI) to be integrated into society, for example in healthcare and the motoring industry. Autonomous cars will need to be able to infer the mental states of human drivers and pedestrians to predict their behavior. In the literature, there has been an increasing understanding of ToM, specifically with increasing cognitive science studies in children and in individuals with Autism Spectrum Disorder. Similarly, with neuroimaging studies there is now a better understanding of the neural mechanisms that underlie ToM. In addition, new AI algorithms for inferring human mental states have been proposed with more complex applications and better generalisability. In this review, we synthesize the existing understanding of ToM in cognitive and neurosciences and the AI computational models that have been proposed. We focus on preference learning as an area of particular interest and the most recent neurocognitive and computational ToM models. We also discuss the limitations of existing models and hint at potential approaches to allow ToM models to fully express the complexity of the human mind in all its aspects, including values and preferences.
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Affiliation(s)
- Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Bogdan Ionut Cirstea
- School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom
| | - Fabio Cuzzolin
- School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom
| | - Barbara J. Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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20
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Skumlien M, Langley C, Lawn W, Voon V, Sahakian BJ. Apathy and Anhedonia in Adult and Adolescent Cannabis Users and Controls Before and During the COVID-19 Pandemic Lockdown. Int J Neuropsychopharmacol 2021; 24:859-866. [PMID: 34077523 PMCID: PMC8244616 DOI: 10.1093/ijnp/pyab033] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/18/2021] [Accepted: 06/01/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND COVID-19 lockdown measures have caused severe disruptions to work and education and prevented people from engaging in many rewarding activities. Cannabis users may be especially vulnerable, having been previously shown to have higher levels of apathy and anhedonia than non-users. METHODS In this survey study, we measured apathy and anhedonia, before and after lockdown measures were implemented, in n = 256 adult and n = 200 adolescent cannabis users and n = 170 adult and n = 172 adolescent controls. Scores on the Apathy Evaluation Scale (AES) and Snaith-Hamilton Pleasure Scale (SHAPS) were investigated with mixed-measures ANCOVA, with factors user group, age group, and time, controlling for depression, anxiety, and other drug use. RESULTS Adolescent cannabis users had significantly higher SHAPS scores before lockdown, indicative of greater anhedonia, compared with adolescent controls (P = .03, η p2 = .013). Contrastingly, adult users had significantly lower scores on both the SHAPS (P < .001, η p2 = .030) and AES (P < .001, η p2 = .048) after lockdown compared with adult controls. Scores on both scales increased during lockdown across groups, and this increase was significantly smaller for cannabis users (AES: P = .001, η p2 = .014; SHAPS: P = .01, η p2 = .008). Exploratory analyses revealed that dependent cannabis users had significantly higher scores overall (AES: P < .001, η p2 = .037; SHAPS: P < .001, η p2 = .029) and a larger increase in scores (AES: P = .04, η p2 =.010; SHAPS: P = .04, η p2 = .010), compared with non-dependent users. CONCLUSIONS Our results suggest that adolescents and adults have differential associations between cannabis use as well as apathy and anhedonia. Within users, dependence may be associated with higher levels of apathy and anhedonia regardless of age and a greater increase in levels during the COVID-19 lockdown.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Will Lawn
- Clinical Psychopharmacology Unit, University College London, London, United Kingdom
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neurosciences Institute, Cambridge, United Kingdom
- Cambridgeshire and Peterborough NHS Trust, Cambridge, United Kingdom
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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21
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Abstract
BACKGROUND AND AIMS Cannabis is a commonly used recreational drug in young adults. The worldwide prevalence in 18- to 25-year-olds is approximately 35%. Significant differences in cognitive performance have been reported previously for groups of cannabis users. However, the groups are often heterogeneous in terms of cannabis use. Here, we study daily cannabis users with a confirmed diagnosis of cannabis use disorder (CUD) to examine cognitive performance on measures of memory, executive function and risky decision-making. METHODS Forty young adult daily cannabis users with diagnosed CUD and 20 healthy controls matched for sex and premorbid intelligence quotient (IQ) were included. The neuropsychological battery implemented was designed to measure multiple modes of memory (visual, episodic and working memory), risky decision-making and other domains of executive function using subtests from the Cambridge Neuropsychological Test Automated Battery (CANTAB). RESULTS Our results showed that young adult daily cannabis users with CUD perform significantly poorer on tasks of visual and episodic memory compared with healthy controls. In addition, executive functioning was associated with the age of onset. CONCLUSIONS Further research is required to determine whether worse performance in cognition results in cannabis use or is a consequence of cannabis use. Chronic heavy cannabis use during a critical period of brain development may have a particularly negative impact on cognition. Research into the persistence of cognitive differences and how they relate to functional outcomes such as academic/career performance is required.
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Affiliation(s)
- Ayla Selamoglu
- Department of Psychiatry, University of
Cambridge, Cambridge, UK
| | - Christelle Langley
- Department of Psychiatry, University of
Cambridge, Cambridge, UK,Behavioural and Clinical Neuroscience
Institute, University of Cambridge, Cambridge, UK,Christelle Langley, Department of
Psychiatry, University of Cambridge, The Herchel Smith Building for Brain and
Mind Sciences, Forvie Site Robinsons Way, Cambridge CB2 0SZ, UK.
| | - Rebecca Crean
- The Pearson Center for Alcoholism and
Addiction Research, Department of Molecular Medicine, The Scripps Research
Institute, La Jolla, CA, USA
| | - George Savulich
- Department of Psychiatry, University of
Cambridge, Cambridge, UK,Behavioural and Clinical Neuroscience
Institute, University of Cambridge, Cambridge, UK
| | | | - Barbara J Sahakian
- Department of Psychiatry, University of
Cambridge, Cambridge, UK,Behavioural and Clinical Neuroscience
Institute, University of Cambridge, Cambridge, UK
| | - Barbara Mason
- The Pearson Center for Alcoholism and
Addiction Research, Department of Molecular Medicine, The Scripps Research
Institute, La Jolla, CA, USA
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22
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Skumlien M, Langley C, Lawn W, Voon V, Curran HV, Roiser JP, Sahakian BJ. The acute and non-acute effects of cannabis on reward processing: A systematic review. Neurosci Biobehav Rev 2021; 130:512-528. [PMID: 34509513 DOI: 10.1016/j.neubiorev.2021.09.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 08/11/2021] [Accepted: 09/05/2021] [Indexed: 12/14/2022]
Abstract
Cannabis use has historically been thought to cause amotivation, but the relationship between cannabis and apathy, anhedonia, and reward processing remains poorly characterised. In this systematic review, we evaluated whether cannabis exposure acutely and/or non-acutely was associated with altered reward processing using questionnaire, behavioural, or functional neuroimaging measures. Questionnaire studies demonstrated greater anhedonia in adolescent cannabis users, and some indication of greater apathy in young adult cannabis users. Behavioural studies yielded some evidence of reduced reward learning in adolescent cannabis users, though there were too few studies in this category for reliable conclusions. Finally, longitudinal and acute functional neuroimaging studies showed an association between cannabis and blunted neural responses to reward, which did not emerge consistently in cross-sectional studies. The current results suggest that cannabis use is associated with specific impairments in reward and motivation. Future large-scale, longitudinal studies which use multiple behavioural and neuroimaging measures of reward processing may further clarify the impact of cannabis use on motivational and reward processes, and neural networks.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | | | - Will Lawn
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Behavioural and Clinical Neurosciences Institute, Cambridge, UK; Cambridgeshire and Peterborough NHS Trust, Cambridge, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Jonathan P Roiser
- Institute of Cognitive Neuroscience, University College London, London, UK
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23
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Manarte L, Andrade AR, do Rosário L, Sampaio D, Figueira ML, Langley C, Morgado P, Sahakian BJ. Poor insight in obsessive compulsive disorder (OCD): Associations with empathic concern and emotion recognition. Psychiatry Res 2021; 304:114129. [PMID: 34311099 DOI: 10.1016/j.psychres.2021.114129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 07/13/2021] [Accepted: 07/16/2021] [Indexed: 11/17/2022]
Abstract
PURPOSE Insight is currently considered to be responsible for 20% to 40% of the cases of ineffective obsessive-compulsive disorder (OCD) treatment. As 15% to 36% of patients with OCD have reduced insight, we aimed to identify some of the clinical determinants of insight in OCD. RESULTS Our sample consisted of 57 OCD patients, of which 34 men (59%) and 23 women (41%). All individuals completed a two-phase interview consisting of a clinical assessment, emotional awareness evaluation and insight measurement, using the Brown Assessment of Beliefs Scale (BABS). The insight score correlated significantly with negative emotion recognition (p < 0.0001) and empathic concern (p = 0.003). MAJOR CONCLUSIONS Our results support the hypothesis that insight in OCD is related to emotional awareness, specifically emotion recognition and empathic concern. Future research should investigate the extent to which poor insight and impaired emotional awareness can be modified by psychological or pharmacological therapies and whether this will enhance treatment response.
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Affiliation(s)
- Lucas Manarte
- Psychiatry and Mental Health Department, Faculty of Medicine of the University of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal.
| | - António R Andrade
- IDMEC. Instituto Superior Técnico. University of Lisbon, Av. Rovisco Pais 1, 1649-001 Lisboa, Portugal
| | - Linete do Rosário
- Psychiatry and Mental Health Department, Faculty of Medicine of the University of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal
| | - Daniel Sampaio
- Psychiatry and Mental Health Department, Faculty of Medicine of the University of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal
| | - Maria Luísa Figueira
- Psychiatry and Mental Health Department, Faculty of Medicine of the University of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal
| | - Christelle Langley
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way. Cambridge CB2 0SZ, UK
| | - Pedro Morgado
- Life and Health Sciences Research Institute, School of Medicine, University of Minho. R. da Universidade, 4710-057. Braga, Portugal
| | - Barbara J Sahakian
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way. Cambridge CB2 0SZ, UK
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24
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Dai Y, Zhang L, Yu J, Zhou X, He H, Ji Y, Wang K, Du X, Liu X, Tang Y, Deng S, Langley C, Li WG, Zhang J, Feng J, Sahakian BJ, Luo Q, Li F. Improved symptoms following bumetanide treatment in children aged 3-6 years with autism spectrum disorder: a randomized, double-blind, placebo-controlled trial. Sci Bull (Beijing) 2021; 66:1591-1598. [PMID: 36654288 DOI: 10.1016/j.scib.2021.01.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 10/26/2020] [Accepted: 12/23/2020] [Indexed: 02/03/2023]
Abstract
With the current limited drug therapy for the core symptoms of autism spectrum disorder (ASD), we herein report a randomized, double-blind, placebo-controlled trial to investigate the efficacy, safety, and potential neural mechanism of bumetanide in children with ASD aged 3-6 years old. A total of 120 children were enrolled into the study and randomly assigned to either 0.5 mg bumetanide or placebo. In the final sample, 119 children received at least one dose of bumetanide (59 children) or placebo (60 children) were included in the final analysis. The primary outcome was a reduction in the Childhood Autism Rating Scale (CARS) score, and the secondary outcomes were the Clinical Global Impressions Scale (CGI) -Global Improvement (CGI-I) score at 3 months and the change from baseline to 3-month in the Autism Diagnostic Observation Schedule (ADOS). Magnetic resonance spectroscopy (MRS) was used to measure γ-aminobutyric acid (GABA) and glutamate neurotransmitter concentrations in the insular cortex (IC) before and after the treatment. As compared with the placebo, bumetanide treatment was significantly better in reducing the severity. No patient withdrew from the trial due to adverse events. The superiority of bumetanide to placebo in reducing insular GABA, measured using MRS, was demonstrated. The clinical improvement was associated with a decrease in insular GABA in the bumetanide group. In conclusion, this trial in a large group of young children with predominantly moderate and severe ASD demonstrated that bumetanide is safe and effective in improving the core symptoms of ASD. However, the clinical significance remains uncertain, and future multi-center clinical trials are required to replicate these findings and confirm the clinical significance using a variety of outcome measures.
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Affiliation(s)
- Yuan Dai
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Lingli Zhang
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Juehua Yu
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; Centre for Experimental Studies and Research, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Xin Zhou
- Clinical Research Unit, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Hua He
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yiting Ji
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Kai Wang
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Xiujuan Du
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Xin Liu
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yun Tang
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; The School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Shining Deng
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Christelle Langley
- Department of Psychiatry and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB21TN, UK
| | - Wei-Guang Li
- Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jun Zhang
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
| | - Barbara J Sahakian
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; Department of Psychiatry and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB21TN, UK; Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
| | - Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China; State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - Fei Li
- Department of Developmental and Behavioural Pediatric & Child Primary Care, Brain and Behavioural Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
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25
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Bonnechère B, Klass M, Langley C, Sahakian BJ. Brain training using cognitive apps can improve cognitive performance and processing speed in older adults. Sci Rep 2021; 11:12313. [PMID: 34112925 PMCID: PMC8192763 DOI: 10.1038/s41598-021-91867-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 05/18/2021] [Indexed: 11/25/2022] Open
Abstract
Managing age-related decrease of cognitive function is an important public health challenge, especially in the context of the global aging of the population. Over the last years several Cognitive Mobile Games (CMG) have been developed to train and challenge the brain. However, currently the level of evidence supporting the benefits of using CMG in real-life use is limited in older adults, especially at a late age. In this study we analyzed game scores and the processing speed obtained over the course of 100 sessions in 12,000 subjects aged 60 to over 80 years. Users who trained with the games improved regardless of age in terms of scores and processing speed throughout the 100 sessions, suggesting that old and very old adults can improve their cognitive performance using CMG in real-life use.
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Affiliation(s)
- Bruno Bonnechère
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium. .,Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK.
| | - Malgorzata Klass
- Laboratory of Applied Biology and Neurophysiology, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Christelle Langley
- Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Barbara Jacquelyn Sahakian
- Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK
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26
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Langley C, Gregory S, Osborne-Crowley K, O'Callaghan C, Zeun P, Lowe J, Johnson EB, Papoutsi M, Scahill RI, Rees G, Tabrizi SJ, Robbins TW, Sahakian BJ. Fronto-striatal circuits for cognitive flexibility in far from onset Huntington's disease: evidence from the Young Adult Study. J Neurol Neurosurg Psychiatry 2021; 92:143-149. [PMID: 33130575 PMCID: PMC7841479 DOI: 10.1136/jnnp-2020-324104] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/11/2020] [Accepted: 09/22/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVES Cognitive flexibility, which is key for adaptive decision-making, engages prefrontal cortex (PFC)-striatal circuitry and is impaired in both manifest and premanifest Huntington's disease (pre-HD). The aim of this study was to examine cognitive flexibility in a far from onset pre-HD cohort to determine whether an early impairment exists and if so, whether fronto-striatal circuits were associated with this deficit. METHODS In the present study, we examined performance of 51 pre-HD participants (mean age=29.22 (SD=5.71) years) from the HD Young Adult Study cohort and 53 controls matched for age, sex and IQ, on the Cambridge Neuropsychological Test Automated Battery (CANTAB) Intra-Extra Dimensional Set-Shift (IED) task. This cohort is unique as it is the furthest from disease onset comprehensively studied to date (mean years=23.89 (SD=5.96) years). The IED task measures visual discrimination learning, cognitive flexibility and specifically attentional set-shifting. We used resting-state functional MRI to examine whether the functional connectivity between specific fronto-striatal circuits was dysfunctional in pre-HD, compared with controls, and whether these circuits were associated with performance on the critical extradimensional shift stage. RESULTS Our results demonstrated that the CANTAB IED task detects a mild early impairment in cognitive flexibility in a pre-HD group far from onset. Attentional set-shifting was significantly related to functional connectivity between the ventrolateral PFC and ventral striatum in healthy controls and to functional connectivity between the dorsolateral PFC and caudate in pre-HD participants. CONCLUSION We postulate that this incipient impairment of cognitive flexibility may be associated with intrinsically abnormal functional connectivity of fronto-striatal circuitry in pre-HD.
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Affiliation(s)
| | - Sarah Gregory
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Katie Osborne-Crowley
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
- Division of Equity, Diversity and Inclusion, University of New South Wales, Sydney, New South Wales, Australia
| | - Claire O'Callaghan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Paul Zeun
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Jessica Lowe
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Eileanoir B Johnson
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Marina Papoutsi
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Geraint Rees
- University College London Institute of Cognitive Neuroscience, UCL, London, UK
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative disease, Institute of Neurology, University College London, London, UK
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
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27
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Zhang Y, Luo Q, Huang CC, Lo CYZ, Langley C, Desrivières S, Quinlan EB, Banaschewski T, Millenet S, Bokde ALW, Flor H, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Artiges E, Paillère-Martinot ML, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Tsai SJ, Lin CP, Bullmore E, Schumann G, Sahakian BJ, Feng J. The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cereb Cortex 2021; 31:3021-3033. [PMID: 33471126 PMCID: PMC8107794 DOI: 10.1093/cercor/bhaa408] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/17/2020] [Accepted: 12/25/2020] [Indexed: 12/30/2022] Open
Abstract
Psychological androgyny has long been associated with greater cognitive flexibility, adaptive behavior, and better mental health, but whether a similar concept can be defined using neural features remains unknown. Using the neuroimaging data from 9620 participants, we found that global functional connectivity was stronger in the male brain before middle age but became weaker after that, when compared with the female brain, after systematic testing of potentially confounding effects. We defined a brain gender continuum by estimating the likelihood of an observed functional connectivity matrix to represent a male brain. We found that participants mapped at the center of this continuum had fewer internalizing symptoms compared with those at the 2 extreme ends. These findings suggest a novel hypothesis proposing that there exists a neuroimaging concept of androgyny using the brain gender continuum, which may be associated with better mental health in a similar way to psychological androgyny.
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Affiliation(s)
- Yi Zhang
- Shanghai Centre for Mathematical Sciences, Fudan University, Shanghai, 200433, China.,Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.,Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.,State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Chu-Chung Huang
- Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Chun-Yi Zac Lo
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Sylvane Desrivières
- Medical Research Council-Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Erin Burke Quinlan
- Medical Research Council-Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, 69117, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, 69117, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Manheim, 69117, Germany.,Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, 68131, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, 10117, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestraße 2, 10587 Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 ``Developmental trajectories & psychiatry''; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; 91190 Gif-sur-Yvette, France.,Etablissement Public de Santé (EPS) Barthélemy Durand, 91700 Sainte-Geneviève-des-Bois, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 ``Developmental trajectories & psychiatry''; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; 91190 Gif-sur-Yvette, France.,Etablissement Public de Santé (EPS) Barthélemy Durand, 91700 Sainte-Geneviève-des-Bois, France
| | - Marie-Laure Paillère-Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 ``Developmental trajectories & psychiatry''; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; 91190 Gif-sur-Yvette, France.,Assistance Publique-Hêpitaux de Paris, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, 75006, France
| | - Frauke Nees
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, D02 PN40, Ireland.,Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Manheim, 69117, Germany.,Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, 24118, Germany
| | - Dimitri Papadopoulos Orfanos
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - Luise Poustka
- Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, 1090 Wien, Austria.,Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, 01087, Germany
| | - Juliane H Fröhner
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Michael N Smolka
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 11217, Taiwan
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, 10117, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, 11221, Taiwan
| | - Ching-Po Lin
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.,Institute of Neuroscience, National Yang-Ming University, Taipei, 11221, Taiwan
| | - Ed Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK.,Cambridgeshire and Peterborough National Health Service (NHS) Foundation Trust, Huntingdon, CB21 5EF, UK
| | - Gunter Schumann
- PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, 10117, Germany.,PONS Centre, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.,Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Jianfeng Feng
- Shanghai Centre for Mathematical Sciences, Fudan University, Shanghai, 200433, China.,Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and Research and Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.,Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.,Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, 200433, China
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28
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Bonnechère B, Langley C, Sahakian BJ. The use of commercial computerised cognitive games in older adults: a meta-analysis. Sci Rep 2020; 10:15276. [PMID: 32943742 PMCID: PMC7498601 DOI: 10.1038/s41598-020-72281-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 08/28/2020] [Indexed: 11/09/2022] Open
Abstract
Brain training programs are currently one effective solution to prevent cognitive decline in healthy aging. We conducted a meta-analysis of randomized controlled trials assessing the use of commercially available computerised cognitive games to improve cognitive function in people aged above 60 years old without cognitive impairment. 1,543 participants from sixteen studies were included in the meta-analysis. Statistically significant improvements were observed for processing speed (SMD increased 0.40 [95% CI 0.20-0.60], p < 0.001), working memory (0.21 [95% CI 0.08-0.34], p = 0.001), executive function (0.21 [95% CI 0.06-0.35], p = 0.006), and for verbal memory (0.12 [95% CI 0.01-0.24, p = 0.031), but not for attention or visuospatial abilities. No relationship between the age of the participants and the amount of training was found. Commercially available computerised cognitive games are effective in improving cognitive function in participants without cognitive impairment aged over 60 years.
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Affiliation(s)
- Bruno Bonnechère
- Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Herchel Smith Bldg, Robinson Way, Cambridge, CB2 0SZ, UK. .,Center for Research in Epidemiology, Biostatistics and Clinical Research - Public Health School, Université Libre de Bruxelles, Brussels, Belgium.
| | - Christelle Langley
- Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Herchel Smith Bldg, Robinson Way, Cambridge, CB2 0SZ, UK
| | - Barbara Jacquelyn Sahakian
- Department of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Herchel Smith Bldg, Robinson Way, Cambridge, CB2 0SZ, UK
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29
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Almutairi B, Langley C, Crawley E, Thai NJ. Using structural and functional MRI as a neuroimaging technique to investigate chronic fatigue syndrome/myalgic encephalopathy: a systematic review. BMJ Open 2020; 10:e031672. [PMID: 32868345 PMCID: PMC7462162 DOI: 10.1136/bmjopen-2019-031672] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE This systematic review aims to synthesise and evaluate structural MRI (sMRI) and functional MRI (fMRI) studies in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). METHODS We systematically searched Medline and Ovid and included articles from 1991 (date of Oxford diagnostic criteria for CFS/ME) to first April 2019. Studies were selected by predefined inclusion and exclusion criteria. Two reviewers independently reviewed the titles and abstracts to determine articles for inclusion, full text and quality assessment for risk of bias. RESULTS sMRI studies report differences in CFS/ME brain anatomy in grey and white matter volume, ventricular enlargement and hyperintensities. Three studies report no neuroanatomical differences between CFS/ME and healthy controls. Task-based fMRI investigated working memory, attention, reward and motivation, sensory information processing and emotional conflict. The most consistent finding was CFS/ME exhibited increased activations and recruited additional brain regions. Tasks with increasing load or complexity produced decreased activation in task-specific brain regions. CONCLUSIONS There were insufficient data to define a unique neural profile or biomarker of CFS/ME. This may be due to inconsistencies in finding neuroanatomical differences in CFS/ME and the variety of different tasks employed by fMRI studies. But there are also limitations with neuroimaging. All brain region specific volumetric differences in CFS/ME were derived from voxel-based statistics that are biased towards group differences that are highly localised in space. fMRI studies demonstrated both increases and decreases in activation patterns in CFS/ME, this may be related to task demand. However, fMRI signal cannot differentiate between neural excitation and inhibition or function-specific neural processing. Many studies have small sample sizes and did not control for the heterogeneity of this clinical population. We suggest that with robust study design, subgrouping and larger sample sizes, future neuroimaging studies could potentially lead to a breakthrough in our understanding of the disease.
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Affiliation(s)
- Basim Almutairi
- Clinical Research and Imaging Centre, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, Bristol, UK
- Radiology & Imaging Centre, King Saud Medical City, Saudi Ministry of Health, Riyadh, Saudi Arabia
| | - Christelle Langley
- The Herchel Smith Building for Brain and Mind Sciences, Department of Psychiatry, Cambridge University, Cambridge, Cambridgeshire, UK
| | - Esther Crawley
- Centre of Child and Adolescent Health, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Ngoc Jade Thai
- Clinical Research and Imaging Centre, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, Bristol, UK
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30
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Luo L, Zhang Q, Wang J, Lin Q, Zhao B, Xu M, Langley C, Li H, Gao S. The baby schema effect in adolescence and its difference from that in adulthood. J Exp Child Psychol 2020; 198:104908. [PMID: 32600740 DOI: 10.1016/j.jecp.2020.104908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 05/12/2020] [Accepted: 05/13/2020] [Indexed: 01/10/2023]
Abstract
The baby schema effect induced by particular features of baby faces acts as an innate releasing mechanism that evokes positive emotions and instinctual behavioral responses. Our prior research in adults has revealed that this effect initially found in infancy extends into child faces. Adolescence is an important period involving development in various aspects of cognition, including face perception. Here, we investigated whether the extended baby schema effect we previously found in adult observers develops earlier-in adolescence-and how different it appears in adolescents as compared with in adults. In the current study, 76 adolescents and 77 adults were asked to judge the likeability of 148 neutral faces of infants and children (0.08-6.5 years of age) on 7-point scales. Results showed that both adolescents and adults perceived the faces of both infants and children younger than 4.6 years as more likeable relative to those of older children, indicating that the baby schema effect previously found in adulthood also occurs in adolescence. However, adolescents rated lower than adults toward the infant and child faces across all face ages, suggesting that this effect might be under development in adolescence. Overall, our findings provide new evidence for the development of face perception in adolescence and demonstrate age-related changes in innate releasing mechanisms in our protective and caretaking responses toward infants and children.
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Affiliation(s)
- Lizhu Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Qiang Zhang
- Department of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, Chengdu 610091, People's Republic of China
| | - Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Qiyuan Lin
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Bingmei Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Min Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Hong Li
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610068, People's Republic of China.
| | - Shan Gao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China; School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
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Scahill RI, Zeun P, Osborne-Crowley K, Johnson EB, Gregory S, Parker C, Lowe J, Nair A, O'Callaghan C, Langley C, Papoutsi M, McColgan P, Estevez-Fraga C, Fayer K, Wellington H, Rodrigues FB, Byrne LM, Heselgrave A, Hyare H, Sampaio C, Zetterberg H, Zhang H, Wild EJ, Rees G, Robbins TW, Sahakian BJ, Langbehn D, Tabrizi SJ. Biological and clinical characteristics of gene carriers far from predicted onset in the Huntington's disease Young Adult Study (HD-YAS): a cross-sectional analysis. Lancet Neurol 2020; 19:502-512. [PMID: 32470422 PMCID: PMC7254065 DOI: 10.1016/s1474-4422(20)30143-5] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 04/05/2020] [Accepted: 04/09/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Disease-modifying treatments are in development for Huntington's disease; crucial to their success is to identify a timepoint in a patient's life when there is a measurable biomarker of early neurodegeneration while clinical function is still intact. We aimed to identify this timepoint in a novel cohort of young adult premanifest Huntington's disease gene carriers (preHD) far from predicted clinical symptom onset. METHODS We did the Huntington's disease Young Adult Study (HD-YAS) in the UK. We recruited young adults with preHD and controls matched for age, education, and sex to ensure each group had at least 60 participants with imaging data, accounting for scan fails. Controls either had a family history of Huntington's disease but a negative genetic test, or no known family history of Huntington's disease. All participants underwent detailed neuropsychiatric and cognitive assessments, including tests from the Cambridge Neuropsychological Test Automated Battery and a battery assessing emotion, motivation, impulsivity and social cognition (EMOTICOM). Imaging (done for all participants without contraindications) included volumetric MRI, diffusion imaging, and multiparametric mapping. Biofluid markers of neuronal health were examined using blood and CSF collection. We did a cross-sectional analysis using general least-squares linear models to assess group differences and associations with age and CAG length, relating to predicted years to clinical onset. Results were corrected for multiple comparisons using the false discovery rate (FDR), with FDR <0·05 deemed a significant result. FINDINGS Data were obtained between Aug 2, 2017, and April 25, 2019. We recruited 64 young adults with preHD and 67 controls. Mean ages of participants were 29·0 years (SD 5·6) and 29·1 years (5·7) in the preHD and control groups, respectively. We noted no significant evidence of cognitive or psychiatric impairment in preHD participants 23·6 years (SD 5·8) from predicted onset (FDR 0·22-0·87 for cognitive measures, 0·31-0·91 for neuropsychiatric measures). The preHD cohort had slightly smaller putamen volumes (FDR=0·03), but this did not appear to be closely related to predicted years to onset (FDR=0·54). There were no group differences in other brain imaging measures (FDR >0·16). CSF neurofilament light protein (NfL), plasma NfL, and CSF YKL-40 were elevated in this far-from-onset preHD cohort compared with controls (FDR<0·0001, =0·01, and =0·03, respectively). CSF NfL elevations were more likely in individuals closer to expected clinical onset (FDR <0·0001). INTERPRETATION We report normal brain function yet a rise in sensitive measures of neurodegeneration in a preHD cohort approximately 24 years from predicted clinical onset. CSF NfL appears to be a more sensitive measure than plasma NfL to monitor disease progression. This preHD cohort is one of the earliest yet studied, and our findings could be used to inform decisions about when to initiate a potential future intervention to delay or prevent further neurodegeneration while function is intact. FUNDING Wellcome Trust, CHDI Foundation.
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Affiliation(s)
- Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Paul Zeun
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Katherine Osborne-Crowley
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Division of Equity, Diversity and Inclusion, University of New South Wales, Sydney, NSW, Australia
| | - Eileanoir B Johnson
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah Gregory
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher Parker
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - Jessica Lowe
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Akshay Nair
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, UCL Queen Square Institute of Neurology, London, UK
| | - Claire O'Callaghan
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Christelle Langley
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Marina Papoutsi
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Peter McColgan
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carlos Estevez-Fraga
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kate Fayer
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Henny Wellington
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK
| | - Filipe B Rodrigues
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lauren M Byrne
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Amanda Heselgrave
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK
| | - Harpreet Hyare
- Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | - Cristina Sampaio
- CHDI Foundation, Princeton, NJ, USA; Instituto de Medicina Molecular, Faculdade de Medicina de Lisboa, Lisbon, Portugal
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - Edward J Wild
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Geraint Rees
- University College London Institute of Cognitive Neuroscience, University College London, London, UK
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Douglas Langbehn
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK.
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Kanwar N, Hassan F, Barclay L, Langley C, Vinjé J, Bryant PW, George KS, Mosher L, Matthews-Greer JM, Rocha MA, Beenhouwer DO, Harrison CJ, Moffatt M, Shastri N, Selvarangan R. Evaluation of RIDA ®GENE norovirus GI/GII real time RT-PCR using stool specimens collected from children and adults with acute gastroenteritis. J Clin Virol 2018; 104:1-4. [PMID: 29702350 DOI: 10.1016/j.jcv.2018.04.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 04/06/2018] [Accepted: 04/07/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND Norovirus is the leading cause of epidemic and sporadic acute gastroenteritis (AGE) in the United States. Widespread prevalence necessitates implementation of accurate norovirus detection assays in clinical diagnostic laboratories. OBJECTIVE To evaluate RIDA®GENE norovirus GI/GII real-time RT-PCR assay (RGN RT-PCR) using stool samples from patients with sporadic AGE. STUDY DESIGN Patients between 14 days to 101 years of age with symptoms of AGE were enrolled prospectively at four sites across the United States during 2014-2015. Stool specimens were screened for the presence of norovirus RNA by the RGN RT-PCR assay. Results were compared with a reference method that included conventional RT-PCR and sequencing of a partial region of the 5'end of the norovirus ORF2 gene. RESULTS A total of 259 (36.0%) of 719 specimens tested positive for norovirus by the reference method. The RGN RT-PCR assay detected norovirus in 244 (94%) of these 259 norovirus positive specimens. The sensitivity and specificity (95% confidence interval) of the RGN RT-PCR assay for detecting norovirus genogroup (G) I was 82.8% (63.5-93.5) and 99.1% (98.0-99.6) and for GII was 94.8% (90.8-97.2) and 98.6% (96.9-99.4), respectively. Seven specimens tested positive by the RGN-RT PCR that were negative by the reference method. The fifteen false negative samples were typed as GII.4 Sydney, GII.13, GI.3, GI.5, GI.2, GII.1, and GII.3 in the reference method. CONCLUSIONS The RGN RT-PCR assay had a high sensitivity and specificity for the detection of norovirus in stool specimens from patients with sporadic AGE.
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Affiliation(s)
- N Kanwar
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA
| | - F Hassan
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA
| | - L Barclay
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - C Langley
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - J Vinjé
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - P W Bryant
- Laboratory of Viral Diseases, Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - K St George
- Laboratory of Viral Diseases, Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - L Mosher
- Michigan Department of Human and Health Services, MI, USA
| | | | - M A Rocha
- Division of Infectious Diseases, VA Greater Los Angeles Healthcare System, CA, USA
| | - D O Beenhouwer
- Division of Infectious Diseases, VA Greater Los Angeles Healthcare System, CA, USA; Department of Medicine, University of California Los Angeles, CA, USA
| | - C J Harrison
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA; Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA
| | - M Moffatt
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA; Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA
| | - N Shastri
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA; Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA
| | - R Selvarangan
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, Kansas City, MO, USA; Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA.
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Bush J, Langley C, Mills S, Hindle L. A comparison of the provision of the My Choice Weight Management Programme via general practitioner practices and community pharmacies in the United Kingdom. Clin Obes 2014; 4:91-100. [PMID: 25826732 DOI: 10.1111/cob.12049] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Revised: 11/12/2013] [Accepted: 02/03/2014] [Indexed: 12/01/2022]
Abstract
This study aimed to assess the effectiveness of a novel, community-based weight management programme delivered through general practitioner (GP) practices and community pharmacies in one city in the United Kingdom. This study used a non-randomized, retrospective, observational comparison of clinical data collected by participating GP practices and community pharmacies. Subjects were 451 overweight or obese men and women resident in areas of high socioeconomic deprivation (82% from black and minority ethnic groups, 86% women, mean age: 41.1 years, mean body mass index [BMI]: 34.5 kg m(-2)). Weight, waist circumference and BMI at baseline, after 12 weeks and after 9 months were measured. Costs of delivery were also analysed. Sixty-four per cent of participants lost weight after the first 12 weeks of the My Choice Weight Management Programme. There was considerable dropout. Mean percentage weight loss (last observation carried forward) was 1.9% at 12 weeks and 1.9% at final follow-up (9 months). There was no significant difference in weight loss between participants attending GP practices and those attending pharmacies at both 12 weeks and at final follow-up. Costs per participant were higher via community pharmacy which was attributable to better attendance at sessions among community pharmacy participants than among GP participants. The My Choice Weight Management Programme produced modest reductions in weight at 12 weeks and 9 months. Such programmes may not be sufficient to tackle the obesity epidemic.
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Affiliation(s)
- J Bush
- Aston Pharmacy School, Aston University, Birmingham, UK
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Powell JE, Langley C, Kirwan J, Gubbay D, Memel D, Pollock J, Means R, Hewlett S. Welfare rights services for people disabled with arthritis integrated in primary care and hospital settings: set-up costs and monetary benefits. Rheumatology (Oxford) 2004; 43:1167-72. [PMID: 15213334 DOI: 10.1093/rheumatology/keh278] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To quantify the set-up costs and monetary benefits of a welfare rights service integrated within an NHS service provider, that selects eligible patients using the Health Assessment Questionnaire (HAQ) and offers welfare rights advice to assist in application for Disability Living Allowance and Attendance Allowance. METHOD (1) DESIGN: a cost evaluation of a social intervention, screening with the HAQ and welfare rights advice in primary care and hospital settings. (2) SETTING: Eight general practices and four hospital rheumatology out-patient departments were selected from four localities in the southwest of England. (3) PARTICIPANTS: Two hundred and sixty-eight eligible patients with arthritis accepted an interview with a welfare rights officer (WRO) from a sample of 1989 service users identified from GPs' records and hospital out-patient lists. Two hundred and forty two service users expressed an interest in take up of the social intervention. (4) Service users with a HAQ score >/=1.5 were contacted by telephone and offered an appointment with an experienced WRO to help them complete a welfare benefit application form. A 'micro-costing' study was undertaken with assessment of monetary benefits received. RESULTS The indicative set-up costs of similar welfare rights services are pound 8125 in a GP setting and pound 9307 per annum in a hospital setting at 2002 prices. Total annual unclaimed Disability Living Allowance/Attendance Allowance granted to successful claimants was pound 184,382 in the GP setting (n = 84 from 137) and pound 169,309 in the hospital setting (n = 79 from 131). CONCLUSIONS Welfare rights advice received during a visit to a GP practice or a hospital out-patient department can substantially reduce the level of unclaimed benefit in arthritic populations including the elderly; with mobility and care difficulties. A welfare rights service integrated within a GP practice or hospital that screens people with arthritis using HAQ scores and encourages those with scores >/=1.5 to see a WRO for help with welfare benefit confers monetary benefits for service users that substantially outweigh set-up costs.
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Affiliation(s)
- J E Powell
- Faculty of Health and Social Care, University of the West of England, Bristol, Glenside Campus, Blackberry Hill, Stapleton, Bristol BS16 1DD, UK.
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Langley C, Memel DS, Kirwan JR, Pollock J, Hewlett S, Gubbay D, Powell J. Using the Health Assessment Questionnaire and welfare benefits advice to help people disabled through arthritis to access financial support. Rheumatology (Oxford) 2004; 43:863-8. [PMID: 15113991 DOI: 10.1093/rheumatology/keh184] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To test, in a variety of health settings, the ability of the Health Assessment Questionnaire (HAQ) disability index to predict the eligibility of patients with moderate or severe arthritis for disability living allowance or attendance allowance. METHODS The study included patients from 20 general practices and four hospital out-patient departments across four areas in the southwest of England. Adults with an established diagnosis of rheumatoid arthritis, or osteoarthritis of the hip or knee, and who were not in receipt of Disability Living Allowance (DLA) or Attendance Allowance (AA) were sent an HAQ. Those who scored 1.5 or more were offered an appointment with a welfare advice worker at which they completed an application for DLA or AA. After 3 months they were contacted by the advice worker and asked about the outcome of their applications. RESULTS Over half of those who completed an HAQ scored 1.5 or over (moderate to severe disability as measured by the HAQ) and were offered advice from experienced welfare benefits advisors. Of these, 87% applied for DLA or AA. Sixty-nine per cent of the applicants were successful. Those scoring 1.75 and over were more likely to be awarded benefit (73% success CLs 67, 79) than people scoring between 1.5 and 1.625 where 55% (CLs 41,69) of applicants were successful. CONCLUSION The HAQ was shown to be a good predictor of eligibility for AA or DLA. It can be used, in a variety of health settings, to indicate patients who, with help from an experienced advisor, are likely to gain increased financial help.
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Affiliation(s)
- C Langley
- Air Balloon Surgery, Kenn Road, St George, Bristol BS5 7PD, UK.
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Memel DS, Kirwan JR, Langley C, Hewlett S, Hehir M. Prediction of successful application for disability benefits for people with arthritis using the Health Assessment Questionnaire. Rheumatology (Oxford) 2002; 41:100-2. [PMID: 11792887 DOI: 10.1093/rheumatology/41.1.100] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Many eligible people with arthritis do not receive disability benefits. Application forms are lengthy and complex, and doctors and nurses are often unsure which patients would qualify. AIM To investigate how severe disability on the Health Assessment Questionnaire (HAQ) relates to successful application for disability benefits by people with osteoarthritis (OA) and rheumatoid arthritis (RA). METHOD RA patients attending a hospital out-patient rheumatology clinic and patients with OA or RA in two general practices completed an HAQ and were asked about receipt of disability benefits. Those scoring 2 or more on the HAQ (severe disability) and not in receipt of benefits were offered professional help to complete applications for Disability Living Allowance (DLA) or Attendance Allowance (AA). RESULTS Eighty per cent of patients with an HAQ score of 2 or more were already in receipt of benefits. Seventy-nine per cent of the new applicants applied successfully, the average benefit being in excess of 2580 pounds per annum. CONCLUSION This initial study suggests that people who score 2 or more on the HAQ should be encouraged to apply for disability benefits. A test of the generalizability of these findings and the success rate associated with lower HAQ scores should be undertaken.
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Affiliation(s)
- D S Memel
- Air Balloon Surgery, United Bristol Healthcare NHS Trust, Bristol BS2 8HW, UK
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Koumans EH, Farley TA, Gibson JJ, Langley C, Ross MW, McFarlane M, Braxton J, St Louis ME. Characteristics of persons with syphilis in areas of persisting syphilis in the United States: sustained transmission associated with concurrent partnerships. Sex Transm Dis 2001; 28:497-503. [PMID: 11518865 DOI: 10.1097/00007435-200109000-00004] [Citation(s) in RCA: 113] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND GOAL In areas with persistent syphilis, to characterize persons at higher risk for transmitting syphilis. STUDY DESIGN Cohort study. Structured interviews of persons with early syphilis from four research centers were linked to outcomes of partner tracing. RESULTS Of 743 persons with syphilis, 229 (31%) reported two or more partners in the previous month, and 57 (8%) received money or drugs for sex in the previous three months. Persons with at least one partner at an earlier stage of syphilis than themselves were defined as transmitters; 63 (8.5%) of persons with early syphilis met this definition. Having concurrent partners (two or more in one week in the last month) was independently associated with being a transmitter. CONCLUSION Sexual network/behavioral characteristics of syphilis patients and their partners, such as concurrency, can help identify persons at higher risk for transmitting syphilis who should receive emphasis in disease prevention activities.
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Affiliation(s)
- E H Koumans
- Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
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Langley C, Gray S, Selley S, Bowie C, Price C. Clinicians' attitudes to recruitment to randomised trials in cancer care: a qualitative study. J Health Serv Res Policy 2000; 5:164-9. [PMID: 11183627 DOI: 10.1177/135581960000500307] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To explore attitudes to and problems experienced with recruitment into randomised trials in cancer care. METHODS In-depth semi-structured interviews with a purposive sample of 20 hospital clinicians in the South West of England identified from 192 participants in a larger postal survey. Interviews were recorded on audiotape and fully transcribed. Data were analysed by comparing transcripts and describing emergent themes. RESULTS Clinicians do not always find it easy to identify key randomised trials in their area of interest. Even when they identify those trials in which they would like to participate, they are not always able to recruit patients. Although recruitment can be hindered by the time and administration involved and the resources needed, the attitudes of clinicians to research in general, the design of randomised trials, clinicians' concerns regarding individual patients and patients' preferences for different treatments also present major barriers. Other factors of concern include the imposition of strict eligibility criteria and the expense and complexity of monitoring and follow-up. CONCLUSION Barriers to recruitment depend on the clinicians' individual situations and on a complex combination of factors. Action is needed to promote awareness of randomised trials under way, to ensure that trials address issues of importance, are acceptable to patients and clinicians, and that practical support is provided for participating centres.
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Affiliation(s)
- C Langley
- Bristol Oncology Centre, Department of Social Medicine, University of Bristol, Bristol
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Tregonning M, Langley C. Chronic obstructive pulmonary disease. Elder Care 1999; 11:21-5; quiz 26. [PMID: 10614295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
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Rinaldi DA, Kuhn JG, Burris HA, Dorr FA, Rodriguez G, Eckhardt SG, Jones S, Woodworth JR, Baker S, Langley C, Mascorro D, Abrahams T, Von Hoff DD. A phase I evaluation of multitargeted antifolate (MTA, LY231514), administered every 21 days, utilizing the modified continual reassessment method for dose escalation. Cancer Chemother Pharmacol 1999; 44:372-80. [PMID: 10501910 DOI: 10.1007/s002800050992] [Citation(s) in RCA: 142] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
PURPOSE To determine toxicities, maximally tolerated dose (MTD), pharmacokinetic profile, and potential antitumor activity of MTA, a novel antifolate compound which inhibits the enzymes thymidylate synthase (TS), glycinamide ribonucleotide formyltransferase (GARFT), and dihydrofolate reductase (DHFR). METHODS Patients with advanced solid tumors were given MTA intravenously over 10 min every 21 days. Dose escalation was based on the modified continual reassessment method (MCRM), with one patient treated at each minimally toxic dose level. Pharmacokinetic studies were performed in all patients. RESULTS A total of 37 patients (27 males, 10 females, median age 59 years, median performance status 90%) were treated with 132 courses at nine dose levels, ranging from 50 to 700 mg/m(2). The MTD of MTA was 600 mg/m(2), with neutropenia and thrombocytopenia, and cumulative fatigue as the dose-limiting toxicities. Hematologic toxicity correlated with renal function and mild reversible renal dysfunction was observed in multiple patients. Other nonhematologic toxicities observed included mild to moderate fatigue, anorexia, nausea, diarrhea, mucositis, rash, and reversible hepatic transaminase elevations. Three patients expired due to drug-related complications. Pharmacokinetic analysis during the first course of treatment at the 600 mg/m(2) dose level demonstrated a mean harmonic half-life, maximum plasma concentration (Cpmax), clearance (CL), area under the curve (AUC), and apparent volume of distribution at steady state (Vdss) of 3.08 h, 137 microg/ml, 40.0 ml/min per m(2), 266 microg. h/ml, and 7.0 l/m(2), respectively. An average of 78% of the compound was excreted unchanged in the urine. Partial responses were achieved in two patients with advanced pancreatic cancer and in two patients with advanced colorectal cancer. Minor responses were obtained in six patients with advanced colorectal cancer. CONCLUSIONS The MTD and dose for phase II clinical trials of MTA when administered intravenously over 10 min every 21 days was 600 mg/m(2). MTA is a promising new anticancer agent.
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Affiliation(s)
- D A Rinaldi
- Brooke Army Medical Center, Fort Sam Houston, TX, USA
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Watkins C, Harvey I, Langley C, Faulkner A, Gray S. General practitioners' use of computers during the consultation. Br J Gen Pract 1999; 49:381-3. [PMID: 10736889 PMCID: PMC1313424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023] Open
Abstract
This study documents the extent of reported computer use by general practitioners (GPs) in consultations with patients, and identifies barriers to their use. There was a 65% response rate from a random sample of 600 GPs in the South and West National Health Service (NHS) region who were sent a questionnaire. Ninety-one per cent (357) had a desktop computer terminal in their consulting rooms. Of these, 98% used the computer to look up information or prescribe medication, 75% entered details about selected problems presented by patients, and 36% entered information about the patient's presenting problem at every consultation. Only 18% used computers to access reference information. Use of the computer for anything other than looking up patient information or prescribing was positively associated with fundholding status and use of a personal computer at home, and was independent of number of years in practice. Sixty-five per cent of responders had positive attitudes to the inclusion of management guidelines on the computer software, and 45% of responders held positive views towards the idea of integrating management guidelines with the patient's personal computerized medical record. Consideration should be given to targeting training at those GPs who appear to be reluctant to use computers during the consultation.
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Affiliation(s)
- C Watkins
- Backwell and Nailsea Medical Group, Bristol
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Watkins C, Harvey I, Langley C, Gray S, Faulkner A. General practitioners' use of guidelines in the consultation and their attitudes to them. Br J Gen Pract 1999; 49:11-5. [PMID: 10622009 PMCID: PMC1313310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND There is concern about the apparent lack of uptake of management and referral guideline information by general practitioners (GPs) in their day-to-day consultations with patients. Little is understood about the barriers to the uptake of guidelines as perceived by GPs. AIMS To explore how GPs gain access to and use guidelines, including computer-based guidelines, in day-to-day consultations with their patients; and to identify the perceived problems and barriers to the use of guidelines in such situations. METHOD Postal questionnaires enquiring about the practices and attitudes towards the use of guidelines in general practice were completed by 391 of 600 randomly selected GPs in the South and West NHS region. RESULTS GPs found guidelines a useful method of accessing expert information. Key factors in their uptake were brevity, an authoritative and unbiased source of evidence, and resonance with the GP's usual practices; they also needed to be flexible enough to incorporate individual viewpoints. Guidelines were perceived as being valuable to enable safe delegation of care to other health professionals and for sharing decision-making with patients. Dissemination of guidelines through the medium of computers was acceptable to the majority of GPs. Virtually all (93%) responders reported adapting guidelines to the needs of individual patients. Older GPs from non-fundholding practices were least likely to show a positive attitude towards guidelines. CONCLUSION In principle, there is a very positive attitude towards the use of guidelines in general practice. However, those developing guidelines for use by GPs in the consulting room need to be aware of the factors that facilitate their use in practice. Educational strategies aimed at increasing the use of guidelines need to take into account the significant proportion who show negative attitudes towards guidelines, whose characteristics have been identified in this study.
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Abstract
BACKGROUND AND OBJECTIVES Concern about the inadequate take-up of guidelines in general practice has concentrated on problems arising from the process of their development and implementation. However, these perspectives fail to take account of the needs, attitudes and problems of GPs themselves. In this study we aimed to identify barriers to the use of guidelines and opportunities for tackling them, from the point of view of the GP, so that future guideline development and policy could be more sensitive to the needs of GPs in the environment in which they work. METHOD Twenty in-depth semi-structured interviews were audiotaped with GPs from within the Avon Health Authority area, representing GPs with different backgrounds and working environments. The transcribed data collected were analysed using a grounded theory approach. RESULTS Utilization of guideline information is complex. GPs' appraisals of the value of guidelines interact with prior knowledge and beliefs, practicalities of existing information storage and retrieval systems, and individual working practices. Conditions where guidelines are most likely to be referred to may be those either very rarely or very commonly presenting in general practice. Key issues for the uptake of guidelines in the consultation are: general preference for certain formats of presentation; reputability and ownership; use of guidelines in shared decision-making; scope for computer-based systems; and GPs' attitudes to time pressures on information-seeking in relation to tolerance of uncertainty. CONCLUSION Local initiatives might usefully explore the possibilities of supporting development of guideline-retrieval systems customized for individual GPs or practices. Novel means of stimulating 'ownership' and demonstrating reputability should be sought. The analysis provides a framework for understanding the complexities of the processes of GPs' use of guidelines in practice which can be useful in explaining the results of trials of guideline effectiveness. Guideline implementation occurs in the context of conflicting pressures for clinical autonomy and professional standardization and quality improvement.
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Affiliation(s)
- C Langley
- Department of Social Medicine, University of Bristol, UK
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Abstract
Chancroid is a major cause of genital ulcer disease worldwide, and occurred at epidemic rates in the United States in the late 1980s. Though the recent epidemic in the U.S. appears to be waning, a number of areas continue to report significant numbers of cases. Chancroid is a particular concern, because, like other diseases that cause genital ulceration, it is associated with an increased risk for transmission or acquisition of human immunodeficiency virus (HIV). Recent studies have advanced the understanding of chancroid epidemiology, and new diagnostic tests may improve the ability to recognize and appropriately treat chancroid. Increased awareness of chancroid, with appropriate treatment for suspected lesions, along with public health efforts to implement prevention in high-risk populations, will be critical to prevent ongoing transmission of chancroid, and potentially ongoing transmission of HIV.
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Affiliation(s)
- C Langley
- Division of STD/HIV at the Mississippi State Department of Health, Jackson, USA
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Noble MA, Redmond GM, Williams JK, Langley C. Education for the nurse of tomorrow: a community-focused curriculum. N HC Perspect Community 1996; 17:66-71. [PMID: 8705657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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Rinaldi DA, Burris HA, Dorr FA, Woodworth JR, Kuhn JG, Eckardt JR, Rodriguez G, Corso SW, Fields SM, Langley C. Initial phase I evaluation of the novel thymidylate synthase inhibitor, LY231514, using the modified continual reassessment method for dose escalation. J Clin Oncol 1995; 13:2842-50. [PMID: 7595747 DOI: 10.1200/jco.1995.13.11.2842] [Citation(s) in RCA: 114] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
PURPOSE To determine the toxicities, maximal-tolerated dose (MTD), pharmacokinetic profile, and potential antitumor activity of LY231514, a novel thymidylate synthase (TS) inhibitor. PATIENTS AND METHODS Patients with advanced solid tumors were administered LY231514 intravenously over 10 minutes, weekly for 4 weeks, every 42 days. Dose escalation was based on the modified continual reassessment method (MCRM), with one patient treated at each minimally toxic dose level. Pharmacokinetic studies were performed in all patients. RESULTS Twenty-five patients were administered 58 courses of LY231514 at doses that ranged from 10 to 40 mg/m2/wk. Reversible neutropenia was the dose-limiting toxicity. Inability to maintain the weekly treatment schedule due to neutropenia limited dose escalation on this schedule. Nonhematologic toxicities observed included mild fatigue, anorexia, and nausea. At the 40-mg/m2/wk dose level, the mean harmonic half-life, maximum plasma concentration, clearance, and apparent volume of distribution at steady-state were 2.02 hours, 11.20 micrograms/mL, 52.3 mL/min/m2, and 6.64 L/m2, respectively. No major antitumor responses were observed; however, minor responses were achieved in two patients with advanced colorectal cancer. CONCLUSION The dose-limiting toxicity, MTD, and recommended phase II dose of LY231514 when administered weekly for 4 weeks every 42 days are neutropenia, 40 mg/m2, and 30 mg/m2, respectively.
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Affiliation(s)
- D A Rinaldi
- Institute for Drug Development, Brooke Army Medical Center, Fort Sam Houston, TX, USA
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Seck AC, Faye MA, Critchlow CW, Mbaye AD, Kuypers J, Woto-Gaye G, Langley C, De EB, Holmes KK, Kiviat NB. Cervical intraepithelial neoplasia and human papillomavirus infection among Senegalese women seropositive for HIV-1 or HIV-2 or seronegative for HIV. Int J STD AIDS 1994; 5:189-93. [PMID: 8061090 DOI: 10.1177/095646249400500307] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Studies in various regions of the world have shown that women infected with HIV-1 are at increased risk for cervical human papillomavirus (HPV) infection as well as for cervical cancer precursor lesions. HIV infection and cervical cancer are both widespread in West Africa, but little is known about the relationship between HPV and HIV-2, which is the predominant type of HIV in the general population of many West African countries. To address this issue, we collected cervical samples for cytology and HPV analysis from 93 women presenting to the University of Dakar Infectious Disease Service (18 women with HIV-1 infection, 17 with HIV-2 infection, and 58 HIV seronegative controls). Compared to those without HIV infection, HIV seropositive women were 13.1 (95% CI = 2.4, 128) and 11.0 (95% CI = 3.5, 35.8) times more likely to have HPV detected using Southern transfer hybridization (STH) and the polymerase chain reaction (PCR) respectively. Detection of high and intermediate risk HPV types were significantly associated with HIV-1 and HIV-2 infection. Among HPV positive women, those with, as compared to those without HIV infection were more likely to harbour high risk HPV types (OR = 9.2, 95% CI = 0.97, 433). HIV-1 and HIV-2 seropositive women were 23.3 (95% CI = 2.9, 209) and 9.3 (95% CI = 1.1, 79) times more likely to have cytological diagnosis of dysplasia, respectively, than were HIV seronegative women. Biopsy-proven CIN 3 was found in one woman with HIV-1 and invasive cancer was found in one woman with HIV-2.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- A C Seck
- Department of Infectious Diseases, University of Dakar, Senegal
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Barnes A, Nipper B, Brantley K, Garrison D, Langley C, Shields S. Developing a successful acuity billing system for intermediate nursery services. Neonatal Netw 1991; 10:49-52. [PMID: 1886558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Campbell CJ, Langley C. Measurement of rat-intestinal cefuroxime axetil esterase activity: comparison of an h.p.l.c. and coupled-enzyme assay. Xenobiotica 1985; 15:1011-9. [PMID: 2936009 DOI: 10.3109/00498258509049096] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
An alternative method to h.p.l.c. for determining cefuroxime axetil esterase (CAE) activity has been developed which involves coupling acetaldehyde, produced in the esterase reaction, with alcohol dehydrogenase (ADH) to provide a direct reading spectrophotometric assay. The optimum temperature and concn. of NADH, cefuroxime axetil and ADH for the assay are 37 degrees C, 160 microM, 2.9 mM and 160 U/ml, respectively. The coupled assay was more reproducible but less sensitive than the h.p.l.c. assay, and the two methods gave results that were not significantly different (P greater than 0.05). Both assays responded linearly when CAE activity was measured as a function of protein concn., however, the coupled assay was impaired at ionic strengths greater than 0.2 M NaCl, whereas no adverse effects were seen with the h.p.l.c. assay up to 0.5 M NaCl.
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Abstract
In this paper the consequences of natural selection acting on several loci simultaneously in a spatially fluctuating environment are described. The fitnesses of the genotypes are assumed to be additive both within and between loci. The environment is assumed to be made up of a very large (effectively infinite) number of patches in which fitnesses are assigned at random. The resulting deterministic model is called a Random Levene Model and its properties are approximate by a system of differential equations. The main equilibrium properites are that (1) the linkage disequilibrium is zero and (2) the correlations in fitness between alleles at different loci are the principle determinants of the dynamic inter-locus interactions. Although there is no epistasis as conventionally defined, the equilibrium state at the two loci are highly interdependent, the governing principle being that two alleles at different loci whose fitness are negatively correlated across environments have a higher overall fitness due to the reduction in their variance in fitness through the negative correlation. When a large number of loci are considered, they naturally fall into correlation groupings which lead to an enhanced likelihood for polymorphism over that predicted by single-locus theory.
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