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Brain-derived neurotropic factor and cortisol levels negatively predict working memory performance in healthy males. Neurobiol Learn Mem 2020; 175:107308. [DOI: 10.1016/j.nlm.2020.107308] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/31/2020] [Accepted: 08/26/2020] [Indexed: 12/30/2022]
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2
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Abnormal large-scale resting-state functional networks in drug-free major depressive disorder. Brain Imaging Behav 2020; 15:96-106. [DOI: 10.1007/s11682-019-00236-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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3
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Morris KA, Grace SA, Woods W, Dean B, Rossell SL. The influence of COMT rs4680 on functional connectivity in healthy adults: A systematic review. Eur J Neurosci 2020; 52:3851-3878. [PMID: 32306439 DOI: 10.1111/ejn.14748] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 04/09/2020] [Accepted: 04/10/2020] [Indexed: 12/01/2022]
Abstract
The aim of this systematic review was to qualitatively synthesise the available research that investigated the influence of COMT genotype at SNP rs4680 on both task-based and resting-state connectivity in healthy adults. Thirty-five studies were identified that met inclusion criteria. Of the included studies, 20 studies reported resting-state findings and 16 studies reported task-based findings (emotion-processing, memory, working memory, reward-based learning and executive function). Studies were highly heterogeneous but an overall trend towards an association of the Val allele with greater resting-state connectivity and the Met allele with greater task-based connectivity is reported. A possible interpretation of current findings is discussed, whereby the Val allele is associated with improved cognitive flexibility allowing integration of novel relevant stimuli, and the Met allele allows improved sustained attention and targeted neural processing, particularly between limbic regions and prefrontal cortex. The most promising brain regions implicated in a COMT genotype influence on functional connectivity include prefrontal regions, amygdala and hippocampus.
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Affiliation(s)
- Kim A Morris
- Centre for Mental health, Swinburne University, Melbourne, Vic., Australia
| | - Sally A Grace
- Centre for Mental health, Swinburne University, Melbourne, Vic., Australia
| | - Will Woods
- Centre for Mental health, Swinburne University, Melbourne, Vic., Australia
| | - Brian Dean
- Centre for Mental health, Swinburne University, Melbourne, Vic., Australia.,The Florey Institute for Neuroscience and Mental Health, Melbourne, Vic., Australia
| | - Susan L Rossell
- Centre for Mental health, Swinburne University, Melbourne, Vic., Australia.,Psychiatry, St Vincent's Hospital, Melbourne, Vic., Australia
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4
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Vandenberg A, Lin WC, Tai LH, Ron D, Wilbrecht L. Mice engineered to mimic a common Val66Met polymorphism in the BDNF gene show greater sensitivity to reversal in environmental contingencies. Dev Cogn Neurosci 2018; 34:34-41. [PMID: 29909248 PMCID: PMC6596311 DOI: 10.1016/j.dcn.2018.05.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 04/30/2018] [Accepted: 05/28/2018] [Indexed: 12/22/2022] Open
Abstract
A new line of mice,Val68Met, mimic human BDNF Val66Met polymorphism. New knock-in BDNF Met mice reverse more efficiently than Val in two separate tasks. Supports theory that BDNF Met allele confers greater sensitivity to the environment. Reversal performance can be dissociated from go/no-go and extinction performance. Phenotypes differ between newer and older BDNF Val66Met mouse models.
A common human polymorphism in the gene that encodes brain derived neurotrophic factor (BDNF), Val66Met, is considered a marker of vulnerability for mental health issues and has been associated with cognitive impairment. An alternate framework has been proposed in which “risk alleles” are reinterpreted as “plasticity alleles” that confer vulnerability in adverse environments and positive effects in neutral or positive environments (Belsky et al., 2009). These frameworks produce divergent predictions for tests of learning and cognitive flexibility. Here, we examined multiple aspects of learning and cognitive flexibility in a relatively new BDNF Val66Met mouse model (BDNF Val68Met, Warnault et al., 2016), including multiple choice discrimination and reversal, go/no-go learning and reversal, and appetitive extinction learning. We found that mice homozygous for the Met allele show more efficient reversal learning in two different paradigms, but learn at rates comparable to Val homozygotes on the multiple choice discrimination task, a go/no-go task, and in appetitive extinction. Our results dissociate reversal performance from go/no-go learning and appetitive extinction and support the plasticity allele framework that suggests BDNF Met carriers are potentially more sensitive to changes in the environment.
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Affiliation(s)
- Angela Vandenberg
- Neuroscience Graduate Program, University of California, San Francisco, CA, 94158, USA
| | - Wan Chen Lin
- Department of Psychology, University of California, Berkeley, CA, 94720, USA
| | - Lung-Hao Tai
- Department of Psychology, University of California, Berkeley, CA, 94720, USA
| | - Dorit Ron
- Department of Neurology, University of California, San Francisco, CA, 94158, USA
| | - Linda Wilbrecht
- Department of Psychology, University of California, Berkeley, CA, 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720 USA.
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Gene–gene interaction between DRD4 and COMT modulates clinical response to clozapine in treatment-resistant schizophrenia. Pharmacogenet Genomics 2018; 28:31-35. [DOI: 10.1097/fpc.0000000000000314] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chen W, Chen C, Xia M, Wu K, Chen C, He Q, Xue G, Wang W, He Y, Dong Q. Interaction Effects of BDNF and COMT Genes on Resting-State Brain Activity and Working Memory. Front Hum Neurosci 2016; 10:540. [PMID: 27853425 PMCID: PMC5091010 DOI: 10.3389/fnhum.2016.00540] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 10/11/2016] [Indexed: 12/18/2022] Open
Abstract
Catechol-O-methyltransferase (COMT) and brain-derived neurotrophic factor (BDNF) genes have been found to interactively influence working memory (WM) as well as brain activation during WM tasks. However, whether the two genes have interactive effects on resting-state activities of the brain and whether these spontaneous activations correlate with WM are still unknown. This study included behavioral data from WM tasks and genetic data (COMT rs4680 and BDNF Val66Met) from 417 healthy Chinese adults and resting-state fMRI data from 298 of them. Significant interactive effects of BDNF and COMT were found for WM performance as well as for resting-state regional homogeneity (ReHo) in WM-related brain areas, including the left medial frontal gyrus (lMeFG), left superior frontal gyrus (lSFG), right superior and medial frontal gyrus (rSMFG), right medial orbitofrontal gyrus (rMOFG), right middle frontal gyrus (rMFG), precuneus, bilateral superior temporal gyrus, left superior occipital gyrus, right middle occipital gyrus, and right inferior parietal lobule. Simple effects analyses showed that compared to other genotypes, subjects with COMT-VV/BDNF-VV had higher WM and lower ReHo in all five frontal brain areas. The results supported the hypothesis that COMT and BDNF polymorphisms influence WM performance and spontaneous brain activity (i.e., ReHo).
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Affiliation(s)
- Wen Chen
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Chunhui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Karen Wu
- Department of Psychology and Social Behavior, University of CaliforniaIrvine, CA, USA
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of CaliforniaIrvine, CA, USA
| | - Qinghua He
- Faculty of Psychology, Southwest UniversityChongqing, China
| | - Gui Xue
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Wenjing Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China
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7
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Li W, Liu B, Xu J, Jiang T, Yu C. Interaction of COMT rs4680 and BDNF rs6265 polymorphisms on functional connectivity density of the left frontal eye field in healthy young adults. Hum Brain Mapp 2016; 37:2468-78. [PMID: 27004987 DOI: 10.1002/hbm.23187] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 02/04/2016] [Accepted: 03/09/2016] [Indexed: 12/19/2022] Open
Abstract
As modulators of dopamine availability and release in the brain, COMT and BDNF polymorphisms have demonstrated interactions on human cognition; however, the underlying neural mechanisms remain largely unknown. In this study, we aimed to investigate the interactions of COMT rs4680 and BDNF rs6265 on global functional connectivity density (gFCD) of the brain in 265 healthy young subjects. We found a significant COMT × BDNF interaction on the gFCD in the left frontal eye field (FEF), showing an inverted U-shape modulation by the presumed dopamine signaling. This finding was consistently repeated in the gFCD analyses using other four connection thresholds. Our findings reveal a COMT × BDNF interaction on the FCD in the left FEF, which may be helpful for understanding the neural mechanisms of the COMT × BDNF interactions on the FEF-related cognitive functions. Hum Brain Mapp 37:2468-2478, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Wei Li
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Bing Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
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