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Fu X, Chen Y, Luo X, Ide JS, Li CSR. Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data. Eur Neuropsychopharmacol 2024; 87:2-12. [PMID: 38936229 DOI: 10.1016/j.euroneuro.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/29/2024]
Abstract
Genetic factors confer risks for depression. Understanding the neural endophenotypes, including brain morphometrics, of genetic predisposition to depression would help in unraveling the pathophysiology of depression. We employed voxel-based morphometry (VBM) to examine how gray matter volumes (GMVs) were correlated with the polygenic risk score (PRS) for depression in 993 young adults of the Human Connectome Project. The phenotype of depression was quantified with a DSM-oriented scale of the Achenbach Adult Self-Report. The PRS for depression was computed for each subject using the Psychiatric Genomics Association Study as the base sample. In multiple regression with age, sex, race, drinking severity, and total intracranial volume as covariates, regional GMVs in positive correlation with the PRS were observed in bilateral hippocampi and right gyrus rectus. Regional GMVs in negative correlation with the PRS were observed in a wide swath of brain regions, including bilateral frontal and temporal lobes, anterior cingulate cortex, thalamus, lingual gyri, cerebellum, and the left postcentral gyrus, cuneus, and parahippocampal gyrus. We also found sex difference in anterior cingulate volumes in manifesting the genetic risk of depression. In addition, the GMV of the right cerebellum crus I partially mediated the link from PRS to depression severity. These findings add to the literature by highlighting 1) a more diverse pattern of the volumetric markers of depression, with most regions showing lower but others higher GMVs in association with the genetic risks of depression, and 2) the cerebellar GMV as a genetically informed neural phenotype of depression, in neurotypical individuals.
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Affiliation(s)
- Xiaoya Fu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA; Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Jaime S Ide
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520, USA; Wu Tsai Institute, Yale University, New Haven, CT 06520, USA.
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Li G, Zhong D, Zhang N, Dong J, Yan Y, Xu Q, Xu S, Yang L, Hao D, Li CSR. The inter-related effects of alcohol use severity and sleep deficiency on semantic processing in young adults. Neuroscience 2024; 555:116-124. [PMID: 39059740 DOI: 10.1016/j.neuroscience.2024.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 06/24/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Both alcohol misuse and sleep deficiency are associated with deficits in semantic processing. However, alcohol misuse and sleep deficiency are frequently comorbid and their inter-related effects on semantic processing as well as the underlying neural mechanisms remain to be investigated. METHODS We curated the Human Connectome Project data of 973 young adults (508 women) to examine the neural correlates of semantic processing in link with the severity of alcohol use and sleep deficiency. The latter were each evaluated using the first principal component (PC1) of principal component analysis of all drinking metrics and the Pittsburgh Sleep Quality Index (PSQI). We employed path modeling to elucidate the interplay among clinical, behavioral, and neural variables. RESULTS Among women, we observed a significant negative correlation between the left precentral gyrus (PCG) and PSQI scores. Mediation analysis revealed that the left PCG activity fully mediated the relationship between PSQI scores and word comprehension in language tasks. In women alone also, the right middle frontal gyrus (MFG) exhibited a significant negative correlation with PC1. The best path model illustrated the associations among PC1, PSQI scores, PCG activity, and MFG activation during semantic processing in women. CONCLUSIONS Alcohol misuse may lead to reduced MFG activation while sleep deficiency hinder semantic processing by suppressing PCG activity in women. The pathway model underscores the influence of sleep quality and alcohol consumption severity on semantic processing in women, suggesting that sex differences in these effects need to be further investigated.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Dandan Zhong
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Ning Zhang
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Sleep Center, Department of Neurology, China National Clinical Research Center of Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianyu Dong
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Sleep Center, Department of Neurology, China National Clinical Research Center of Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yan Yan
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Qixiao Xu
- Physical Education Department, Beijing University of Technology, Beijing, China
| | - Shuchun Xu
- Traditional Chinese Medicine Department, the University Hospital of Beijing University of Technology, Beijing, China
| | - Lin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Dongmei Hao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China.
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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Li G, Cao Y, Yang C, Li X, Yang Y, Yang L, Hao D, Li CSR. Sex differences in dorsolateral prefrontal cortical and superior colliculus activities support the impact of alcohol use severity and sleep deficiency on two-back memory. Quant Imaging Med Surg 2024; 14:4972-4986. [PMID: 39022273 PMCID: PMC11250293 DOI: 10.21037/qims-24-156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 05/20/2024] [Indexed: 07/20/2024]
Abstract
Background Working memory refers to a process of temporary storage and manipulation of information to support planning, decision-making, and action. Frequently comorbid alcohol misuse and sleep deficiency have both been associated with working memory deficits. However, how alcohol misuse and sleep deficiency interact to impact working memory remains unclear. In this study, we aim to investigate the neural processes inter-relating alcohol misuse, sleep deficiency and working memory. Methods We curated the Human Connectome Project (HCP) dataset and investigated the neural correlation of working memory in link with alcohol use severity and sleep deficiency in 991 young adults (521 women). The two were indexed by the first principal component (PC1) of principal component analysis of all drinking metrics and Pittsburgh Sleep Quality Index (PSQI) score, respectively. We processed the imaging data with published routines and evaluated the results with a corrected threshold. We used path model to characterize the inter-relationship between the clinical, behavioral, and neural measures, and explored sex differences in the findings. Results In whole-brain regression, we identified β estimates of dorsolateral prefrontal cortex response (DLPFC β) to 2- vs. 0-back in correlation with PC1. The DLPFC showed higher activation in positive correlation with PC1 across men and women (r=0.16, P<0.001). Path analyses showed the model PC1 → DLPFC β → differences in reaction time (2- minus 0-back; RT2-0) of correct trials → differences in critical success index (2- minus 0-back; CSI2-0) with the best fit. In women alone, in addition to the DLPFC, a cluster in the superior colliculus (SC) showed a significant negative correlation with the PSQI score (r=-0.23, P<0.001), and the path model showed the inter-relationship of PC1, PSQI score, DLPFC and SC β's, and CSI2-0 in women. Conclusions Alcohol misuse may involve higher DLPFC activation in functional compensation, whereas, in women only, sleep deficiency affects 2-back memory by depressing SC activity. In women only, path model suggests inter-related impact of drinking severity and sleep deficiency on 2-back memory. These findings suggest potential sex differences in the impact of drinking and sleep problems on working memory that need to be further investigated.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Yingjie Cao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Chunlan Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Xuwen Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Yimin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Lin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Dongmei Hao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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Li Y, Yang L, Hao D, Chen Y, Ye-Lin Y, Li CSR, Li G. Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking. Brain Sci 2024; 14:610. [PMID: 38928610 PMCID: PMC11201596 DOI: 10.3390/brainsci14060610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/15/2024] [Accepted: 06/16/2024] [Indexed: 06/28/2024] Open
Abstract
Alcohol misuse is associated with altered punishment and reward processing. Here, we investigated neural network responses to reward and punishment and the molecular profiles of the connectivity features predicting alcohol use severity in young adults. We curated the Human Connectome Project data and employed connectome-based predictive modeling (CPM) to examine how functional connectivity (FC) features during wins and losses are associated with alcohol use severity, quantified by Semi-Structured Assessment for the Genetics of Alcoholism, in 981 young adults. We combined the CPM findings and the JuSpace toolbox to characterize the molecular profiles of the network connectivity features of alcohol use severity. The connectomics predicting alcohol use severity appeared specific, comprising less than 0.12% of all features, including medial frontal, motor/sensory, and cerebellum/brainstem networks during punishment processing and medial frontal, fronto-parietal, and motor/sensory networks during reward processing. Spatial correlation analyses showed that these networks were associated predominantly with serotonergic and GABAa signaling. To conclude, a distinct pattern of network connectivity predicted alcohol use severity in young adult drinkers. These "neural fingerprints" elucidate how alcohol misuse impacts the brain and provide evidence of new targets for future intervention.
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Affiliation(s)
- Yashuang Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
| | - Lin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
| | - Dongmei Hao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA (C.-S.R.L.)
| | - Yiyao Ye-Lin
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Chiang-Shan Ray Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA (C.-S.R.L.)
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06511, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06511, USA
| | - Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
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Wyngaarden JB, Johnston CR, Sazhin D, Dennison JB, Zaff O, Fareri D, McCloskey M, Alloy LB, Smith DV, Jarcho JM. Corticostriatal responses to social reward are linked to trait reward sensitivity and subclinical substance use in young adults. Soc Cogn Affect Neurosci 2024; 19:nsae033. [PMID: 38779870 PMCID: PMC11182064 DOI: 10.1093/scan/nsae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 03/14/2024] [Accepted: 05/21/2024] [Indexed: 05/25/2024] Open
Abstract
Aberrant levels of reward sensitivity have been linked to substance use disorder and are characterized by alterations in reward processing in the ventral striatum (VS). Less is known about how reward sensitivity and subclinical substance use relate to striatal function during social rewards (e.g. positive peer feedback). Testing this relation is critical for predicting risk for development of substance use disorder. In this pre-registered study, participants (N = 44) underwent fMRI while completing well-matched tasks that assess neural response to reward in social and monetary domains. Contrary to our hypotheses, aberrant reward sensitivity blunted the relationship between substance use and striatal activation during receipt of rewards, regardless of domain. Moreover, exploratory whole-brain analyses showed unique relations between substance use and social rewards in temporoparietal junction. Psychophysiological interactions demonstrated that aberrant reward sensitivity is associated with increased connectivity between the VS and ventromedial prefrontal cortex during social rewards. Finally, we found that substance use was associated with decreased connectivity between the VS and dorsomedial prefrontal cortex for social rewards, independent of reward sensitivity. These findings demonstrate nuanced relations between reward sensitivity and substance use, even among those without substance use disorder, and suggest altered reward-related engagement of cortico-VS responses as potential predictors of developing disordered behavior.
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Affiliation(s)
- James B Wyngaarden
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Camille R Johnston
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Jeff B Dennison
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Ori Zaff
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Dominic Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY 11530, USA
| | - Michael McCloskey
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Lauren B Alloy
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - David V Smith
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Johanna M Jarcho
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
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Boggero IA, Sangalli L, Brasch L, King CD. Social health in young women with chronic pain. Pain Rep 2024; 9:e1146. [PMID: 38505830 PMCID: PMC10950150 DOI: 10.1097/pr9.0000000000001146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 01/09/2024] [Accepted: 01/14/2024] [Indexed: 03/21/2024] Open
Abstract
Introduction Chronic pain may negatively affect social functioning, but no study to date has examined the specific social impact of different chronic pain conditions in young women, and whether living with multiple chronic overlapping pain conditions (COPCs) differently influences social domains. Objectives This study aimed to assess social functioning (social isolation, hostility, informational support satisfaction, social roles, emotional support, friendships, and family relationships) among young women with chronic pain compared with pain-free controls and to test whether the number of COPCs influenced the extent of social burden. Methods Participants aged 18 to 30 years with a physician-confirmed diagnoses of migraine, fibromyalgia, or temporomandibular disorder (TMD) and pain-free controls were invited to participate from across the United States. After confirming eligibility, participants completed a 1-hour REDCap online questionnaire assessing social functioning. Results One hundred four participants (mean age 24.54 ± 3.35 years) were included (n = 26 with TMD, n = 25 with fibromyalgia, n = 25 with migraine, and n = 28 controls). All 3 chronic pain groups combined reported worse functioning than controls on friendship (P = 0.038), social isolation (P = 0.002), and social roles (P < 0.001). There were no differences on social variables between the 3 chronic pain groups (all P's > 0.05). Compared with those with 3 COPCs, participants with 1 condition reported better family relationships (P = 0.024). Conclusions Experience of chronic pain-regardless of the specific pain condition-may negatively affect some areas of social functioning in young women.
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Affiliation(s)
- Ian A. Boggero
- Division of Orofacial Pain, Department of Oral Health Science, College of Dentistry, University of Kentucky, Lexington, KY, USA
- Department of Psychology, College of Arts and Science, University of Kentucky, Lexington, KY, USA
- Department of Anesthesiology, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Linda Sangalli
- College of Dental Medicine—Illinois, Midwestern University, Downers Grove, IL, USA
| | - Lauryn Brasch
- Division of Behavioral Medicine and Clinical Psychology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Christopher D. King
- Division of Behavioral Medicine and Clinical Psychology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Pediatric Pain Research Center (PPRC), Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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Wyngaarden JB, Johnston CR, Sazhin D, Dennison JB, Zaff O, Fareri D, McCloskey M, Alloy LB, Smith DV, Jarcho JM. Corticostriatal Responses to Social Reward are Linked to Trait Reward Sensitivity and Subclinical Substance Use in Young Adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.17.524305. [PMID: 36711485 PMCID: PMC9882176 DOI: 10.1101/2023.01.17.524305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Aberrant levels of reward sensitivity have been linked to substance use disorder and are characterized by alterations in reward processing in the ventral striatum (VS). Less is known about how reward sensitivity and subclinical substance use relate to striatal function during social rewards (e.g., positive peer feedback). Testing this relation is critical for predicting risk for development of substance use disorder. In this pre-registered study, participants (N=44) underwent fMRI while completing well-matched tasks that assess neural response to reward in social and monetary domains. Contrary to our hypotheses, aberrant reward sensitivity blunted the relationship between substance use and striatal activation during receipt of rewards, regardless of domain. Moreover, exploratory whole-brain analyses showed unique relations between substance use and social rewards in temporoparietal junction. Psychophysiological interactions demonstrated that aberrant reward sensitivity is associated with increased connectivity between the VS and ventromedial prefrontal cortex during social rewards. Finally, we found that substance use was associated with decreased connectivity between the VS and dorsomedial prefrontal cortex for social rewards, independent of reward sensitivity. These findings demonstrate nuanced relations between reward sensitivity and substance use, even among those without substance use disorder, and suggest altered reward-related engagement of cortico-VS responses as potential predictors of developing disordered behavior.
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Affiliation(s)
- James B. Wyngaarden
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Camille R. Johnston
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jeff B. Dennison
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Ori Zaff
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Dominic Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY, USA
| | - Michael McCloskey
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Lauren B. Alloy
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - David V. Smith
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Johanna M. Jarcho
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
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Li G, Zhang Z, Zhang Y, Tang X, Li CSR. The effects of cocaine use severity and abstinence on behavioral performance and neural processes of response inhibition. Psychiatry Res Neuroimaging 2023; 336:111734. [PMID: 37871409 DOI: 10.1016/j.pscychresns.2023.111734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/29/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023]
Abstract
Previous studies identified cerebral markers of response inhibition dysfunction in cocaine dependence. However, whether deficits in response inhibition vary with the severity of cocaine use or ameliorate during abstinence remain unclear. This study aimed to address these issues and the neural mechanisms supporting the individual variation. We examined the data of 67 individuals with cocaine dependence (CD) and 84 healthy controls (HC) who underwent functional magnetic resonance imaging during a stop-signal task (SST). The stop-signal reaction time (SSRT) was computed using the integration method, with a longer SSRT indicating poorer response inhibition. The results showed that, while CD and HC did not differ significantly in SSRT, years of cocaine use (YOC) and days of abstinence (DOA) were each positively and negatively correlated with the SSRT in CD. Whole-brain regressions of stop minus go success trials on SSRT revealed correlates in bilateral superior temporal gyrus (STG) in response inhibition across CD and HC. Further, mediation and path analyses revealed that YOC and DOA affected SSRT through the STG activities in CD. Together, the findings characterized the contrasting effects of cocaine use severity and abstinence on response inhibition as well as the neural processes that support these effects in cocaine dependence.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, Faculty of Environment and Life. Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China.
| | - Zhao Zhang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Yihe Zhang
- Department of Brain Cognition and Intelligent Medicine, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States; Wu Tsai Institute, Yale University, New Haven, CT, United States.
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Li G, Li Y, Zhang Z, Chen Y, Li B, Hao D, Yang L, Yang Y, Li X, Li CSR. Sex differences in externalizing and internalizing traits and ventral striatal responses to monetary loss. J Psychiatr Res 2023; 162:11-20. [PMID: 37062201 PMCID: PMC10225357 DOI: 10.1016/j.jpsychires.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/26/2023] [Accepted: 04/08/2023] [Indexed: 04/18/2023]
Abstract
Ventral striatum (VS) processes rewarding and punishing stimuli. Women and men vary in externalizing and internalizing traits, which may influence neural responses to reward and punishment. To investigate sex differences in how individual traits influence VS responses to reward and punishment, we curated the data of the Human Connectome Project and identified 981 (473 men) subjects evaluated by the Achenbach Adult Self-Report Syndrome Scales. We processed the imaging data with published routines and extracted VS response (β) to win and to loss vs. baseline in a gambling task for correlation with externalizing and internalizing symptom severity. Men vs. women showed more severe externalizing symptoms and higher VS response to monetary losses (VS-loss β) but not to wins. Men but not women showed a significant, positive correlation between VS-loss β and externalizing traits, and the sex difference was confirmed by a slope test. The correlations of VS-loss vs. externalizing and of VS-win vs. externalizing and those of VS-loss vs. externalizing and of VS-loss vs. internalizing traits both differed significantly in slope, confirming its specificity, in men. Further, the sex-specific relationship between VS-loss β and externalizing trait did not extend to activities during exposure to negative emotion in the face matching task. To conclude, VS responses to loss but not to win and their correlation with externalizing rather than internalizing symptom severity showed sex differences in young adults. The findings highlight the relationship of externalizing traits and VS response to monetary loss and may have implications for psychological models of externalizing behaviors in men.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China.
| | - Yashuang Li
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Zhao Zhang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Bao Li
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Dongmei Hao
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Lin Yang
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Yimin Yang
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Xuwen Li
- Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China; Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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Zeng J, You L, Sheng H, Luo Y, Yang X. The differential neural substrates for reward choice under gain-loss contexts and risk in alcohol use disorder: Evidence from a voxel-based meta-analysis. Drug Alcohol Depend 2023; 248:109912. [PMID: 37182355 DOI: 10.1016/j.drugalcdep.2023.109912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/15/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Making a risky decision is a complex process that involves the evaluation of both the values of the options and the associated risk level; this process is distinct from reward processing in gain versus loss contexts. Although disrupted reward processing in mesolimbic dopamine circuitry is suggested to underlie pathological incentive processing in patients with alcohol use disorder (AUD), the differential neural processes subserving these motivational tendencies for risk situations or gain/loss choices in decision-making have not been identified. METHODS To examine the common or distinct neural mechanisms in the evaluation of risk versus outcomes for AUD, we conducted two separate coordinate-based meta-analyses of functional neuroimaging studies by using Seed-Based d Mapping software to evaluate 13 studies investigating gain and loss processing and 10 studies investigating risky decision-making. RESULTS During gain and loss processing, relative to healthy controls, AUD patients showed reduced activation in the mesocortical-limbic circuit, including the orbital prefrontal cortex (OFC), dorsal striatum, insula, hippocampus, cerebellum, cuneus cortex and superior temporal gyrus, but hyperactivation in the inferior temporal gyrus and paracentral lobule (extending to the middle cingulate cortex (MCC) and precuneus). During decision-making under risk, AUD patients exhibited hypoactivity of the prefrontal and cingulate cortices, including the posterior cingulate cortex (extending to the MCC), middle frontal gyrus, medial prefrontal cortex, dorsolateral prefrontal cortex, OFC and anterior cingulate cortex. CONCLUSIONS Our results extend existing neurological evidence by showing that a reduced response in the mesocortical-limbic circuit is found in gain versus loss processing, with decreased responsivity in cortical regions in risk decision-making. Our results implicate dissociable neural circuit responses for gain-loss processing and risk decision-making, which contribute to a better understanding of the pathophysiological mechanism underlying nondrug incentive and risk processing in individuals with AUD.
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Affiliation(s)
- Jianguang Zeng
- School of Economics and Business Administration, Chongqing University, Chongqing, China
| | - Lantao You
- School of Economics and Business Administration, Chongqing University, Chongqing, China
| | - Haoxuan Sheng
- School of Public Policy and Administration, Chongqing University, Chongqing, China
| | - Ya Luo
- Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Xun Yang
- School of Public Policy and Administration, Chongqing University, Chongqing, China.
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11
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Li G, Zhang Z, Chen Y, Wang W, Bi J, Tang X, Li CSR. Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep-Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State. J Magn Reson Imaging 2023; 57:856-868. [PMID: 35808911 DOI: 10.1002/jmri.28336] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 06/13/2022] [Accepted: 06/16/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Studies have identified imaging markers of binge drinking. Functional connectivity during both task challenges and resting state was shown to distinguish binge and nonbinge drinkers. However, no studies have compared the efficacy of task and resting data in the classification. HYPOTHESIS Task outperforms resting-state functional magnetic resonance imaging (fMRI) data in the differentiation of binge and nonbinge drinkers. We tested the hypothesis via multiple deep learning algorithms. STUDY TYPE Cross-sectional; retrospective. POPULATION A total of 149 binge (107 men) and 151 demographically matched, nonbinge (92 men) drinkers curated from the Human Connectome Project, with 80% randomly selected for model development and 20% for validation/test. FIELD STRENGTH/SEQUENCE A 3 T; fMRI with a blood oxygen level-dependent (BOLD) gradient-echo echo-planar sequence. ASSESSMENT FMRI data of resting state and seven behavioral tasks were acquired. Graph convolutional network (GCN), long short-term memory, convolutional, and recurrent neural network models were built to distinguish bingers and nonbingers using connectivity matrices of 8, 116, and 268 regions of interest (ROI). Nodal metrics including betweenness centrality, degree centrality, clustering coefficient, efficiency, local efficiency, and shortest path length were calculated from the GCN model. STATISTICAL TESTS Model performance was quantified by the area under the curve (AUC) in receiver operating characteristic analysis. A P value < 0.05 was considered statistically significant. RESULTS Task outperformed resting data in classification by approximately 8% by AUC in the test set. Across models and ROI sets, the gambling, motor, language and working memory tasks, each with AUC of 0.614, 0.612, 0.605, and 0.603, performed better than resting data (AUC = 0.548). Models with 116 ROIs (AUC = 0.602) consistently outperformed those with 8 ROIs (AUC = 0.569). Task data performed best with GCN (AUC = 0.619). Nodal metrics of left supplementary motor area and right cuneus showed significant group main effect across tasks. CONCLUSION Neural responses to cognitive challenges relative to resting state better characterize binge drinking. The performance of different network models may depend on behavioral tasks and the number of ROIs. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing, China.,Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of technology, Beijing, China.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Zhao Zhang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of technology, Beijing, China
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Wuyi Wang
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jinbo Bi
- Department of Computer Science and Engineering, University of Connecticut, Storrs, Connecticut, USA
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of technology, Beijing, China
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut, USA.,Wu Tsai Institute, Yale University, New Haven, Connecticut, USA
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12
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Li G, Chen Y, Chaudhary S, Tang X, Li CSR. Loss and Frontal Striatal Reactivities Characterize Alcohol Use Severity and Rule-Breaking Behavior in Young Adult Drinkers. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:1007-1016. [PMID: 35709958 PMCID: PMC10249655 DOI: 10.1016/j.bpsc.2022.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/29/2022] [Accepted: 06/02/2022] [Indexed: 05/05/2023]
Abstract
BACKGROUND Alcohol misuse is associated with externalizing behaviors, including rule breaking. Studies have implicated altered reward processing in externalizing behaviors and alcohol misuse. Here, we investigated whether reward or punishment reactivity more significantly influenced alcohol use severity and rule-breaking behavior in young adult drinkers. METHODS We curated data from the Human Connectome Project and identified 181 binge (132 men) and 288 nonbinge (97 men) drinkers performing a gambling task during brain imaging. Alcohol use severity was quantified by the first principal component of principal-component analysis of all drinking measures. We analyzed the imaging data using published routines and evaluated the results at a corrected threshold. We examined the interrelationship between imaging and clinical metrics with mediation and path analyses. RESULTS Compared with nonbingers, bingers showed more severe rule-breaking behavior and responded significantly faster during post-loss than during post-win trials. Compared with nonbingers, bingers demonstrated greater inferior/middle frontal gyrus and cerebellum activations in loss-predominating blocks but no differences in regional responses to win-predominating blocks, relative to an interblock baseline. The right caudate body showed loss reactivity that was positively correlated with the rule-breaking score. No regional responses to wins were significantly correlated with the rule-breaking score. Mediation and path analyses demonstrated significant models with inferior/middle frontal gyrus and caudate reactivity to loss interrelating rule breaking and alcohol use severity. CONCLUSIONS Punishment rather than reward reactivity was associated with alcohol use severity and rule breaking in young adults. The findings highlight the roles of negative emotions in psychological models of externalizing behaviors and alcohol misuse.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing, China; Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut.
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13
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Maxwell AM, Harrison K, Rawls E, Zilverstand A. Gender Differences in the Psychosocial Determinants Underlying the Onset and Maintenance of Alcohol Use Disorder. Front Neurosci 2022; 16:808776. [PMID: 35360152 PMCID: PMC8964095 DOI: 10.3389/fnins.2022.808776] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/01/2022] [Indexed: 12/20/2022] Open
Abstract
A large number of different mechanisms have been linked to Alcohol Use Disorder (AUD), including psychosocial, neurocognitive, affective, and neurobiological factors. Gender has been shown to impact the presentation and progression of AUD; yet, little work has been done to parse the different mechanisms underlying AUD within the lens of gender differences. A review of the literature on adolescence revealed that psychosocial factors, in particular lack of family social support and interactions with peers, drive the onset of alcohol use more strongly in girls relative to boys. However, research done on gender differences in disease progression in adults remains limited. Our gender-specific analysis of the mechanisms underlying AUD in adults revealed that lack of social support was causally linked to negative affect, mental health symptoms, and AUD symptom severity in women, but not men. These novel results suggest that psychosocial factors may play a gender-specific role not only in the onset of use in adolescence, but also in the maintenance of addiction in adults. If confirmed, this suggests the need for investigating gender-specific recovery trajectories. In this perspective piece, we review the literature regarding gender differences in the onset and maintenance of AUD and present original data that support unique risk factors in women.
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Affiliation(s)
- Andrea M. Maxwell
- Medical Scientist Training Program, University of Minnesota, Minneapolis, MN, United States
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, United States
- *Correspondence: Andrea M. Maxwell,
| | - Katherine Harrison
- Graduate Program in Cognitive Sciences, University of Minnesota, Minneapolis, MN, United States
- Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, United States
| | - Eric Rawls
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Anna Zilverstand
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
- Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN, United States
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Berger AL, Wang A, Martusewicz ZJ, Cottler LB. Defining Belonging and Its Association to Binge Drinking among College Students. Subst Use Misuse 2022; 57:1341-1344. [PMID: 35614548 DOI: 10.1080/10826084.2022.2079136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Objective: This study investigated the relationship between the students' combined belonging and binge drinking. Combined belonging was defined as a combination of both subjective (perceived belonging) and objective (participation in school activities) measures of belonging. Participants: The sample included 33,360 college students enrolled in U.S. States collegiate institutions. Methods: Data were obtained from an online survey through the Healthy Minds Study from 2018 to 2019. Logistic regression models estimated odds ratios and corresponding 95% confidence intervals. Results: Overall, 39.3% of students met criteria for binge drinking. Combined belonging had the highest odds of binge drinking compared to their counterparts. Being 21 and 22 years of age was the strongest risk factor for binge drinking. Conclusions: Interventions should be tailored to include objective and subjective measures of belonging to effectively reduce college binge drinking.
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Affiliation(s)
- Alyssa L Berger
- Department of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA
| | - Anna Wang
- Department of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA
| | - Zoe J Martusewicz
- Department of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA
| | - Linda B Cottler
- Department of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA
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