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Sandoval H, Clapp B, O'Dell LE, Clegg DJ. A review of brain structural and functional changes using MRI technology in patients who received bariatric surgery. Surg Obes Relat Dis 2024:S1550-7289(24)00798-6. [PMID: 39353828 DOI: 10.1016/j.soard.2024.08.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 07/30/2024] [Accepted: 08/23/2024] [Indexed: 10/04/2024]
Abstract
According to the World Health Organization, obesity is one of the most significant health issues currently because it increases risk for type 2 diabetes and cancer, heart disease, bone health, reproduction, and quality of living and it impacts approximately 500 million adults worldwide. This review analyzed the existing literature focusing on the effects of Metabolic and bariatric surgeries (MBS), including Roux-en-Y gastric bypass and sleeve gastrectomy on changes in brain function and anatomy using magnetic resonance imaging (MRI) technology. A PubMed search using the key words bariatric surgery and MRI conducted in December 2023 resulted in 544 articles. Our literature review identified 24 studies addressing neuroanatomic, neurophysiological, cognitive, and behavioral changes that occurred at different time intervals after different types of bariatric surgery. Our review of the literature found several reports indicating that MBS reverse neuroanatomic alterations and changes in functional connectivity associated with obesity. There were also reported improvements in cognitive performance, memory, executive function, attention, as well as decreased gustatory brain responses to food cues and resting state measures following bariatric surgery. There were instances of improved neural functioning associated with weight loss, suggesting that some neuroanatomic changes can be reversed following weight loss induced by bariatric surgery. Additionally, there were data suggesting that brain connectivity and metabolic health are improved following a bariatric surgical intervention. Together, the existing literature indicates an overall improvement in brain connectivity and health outcomes following bariatric surgery.
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Affiliation(s)
- Hugo Sandoval
- Department of Radiology, Texas Tech Health Science Center El Paso, El Paso, Texas.
| | - Benjamin Clapp
- Department of Surgery, Texas Tech Health Science Center El Paso, El Paso, Texas
| | - Laura E O'Dell
- Department of Psychology, University of Texas at El Paso (UTEP), El Paso, Texas
| | - Deborah J Clegg
- Office of Research, Texas Tech Health Science Center El Paso, El Paso, Texas
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Li G, Hu Y, Zhang W, Wang J, Sun L, Yu J, Manza P, Volkow ND, Ji G, Wang GJ, Zhang Y. FTO variant is associated with changes in BMI, ghrelin, and brain function following bariatric surgery. JCI Insight 2024; 9:e175967. [PMID: 39088267 PMCID: PMC11385082 DOI: 10.1172/jci.insight.175967] [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: 09/20/2023] [Accepted: 07/25/2024] [Indexed: 08/03/2024] Open
Abstract
BACKGROUNDA polymorphism in the fat mass and obesity-associated gene (FTO) is linked to enhanced neural sensitivity to food cues and attenuated ghrelin suppression. Risk allele carriers regain more weight than noncarriers after bariatric surgery. It remains unclear how FTO variation affects brain function and ghrelin following surgery.METHODSResting-state functional magnetic resonance imaging and cue-reactivity functional magnetic resonance imaging with high-/low-caloric food cues were performed before surgery and at 1, 6, and 12 months after surgery to examine brain function in 16 carriers with 1 copy of the rs9939609 A allele (AT) and 26 noncarriers (TT). Behavioral assessments up to 5 years after surgery were also conducted.RESULTSThe AT group relative to the TT group had smaller BMI loss at 12-60 months after surgery and lower resting-state activity in posterior cingulate cortex following laparoscopic sleeve gastrectomy (group-by-time interaction effects). Meanwhile, the AT group relative to the TT group showed greater food cue responses in dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), and insula (group effects). There were negative associations of weight loss with ghrelin and greater activation in DLPFC, DMPFC and insula in the AT but not the TT group.CONCLUSIONThese findings indicate that FTO variation is associated with the evolution of ghrelin signaling and brain function after bariatric surgery, which might hinder weight loss.TRIAL REGISTRATIONChinese Clinical Trial Registry Center, ChiCTR-OOB-15006346.FUNDINGThis work was supported by the National Natural Science Foundation of China (grant nos. 82172023, 82202252, 82302292); National Key R&D Program of China (no. 2022YFC3500603); Natural Science Basic Research Program of Shaanxi (grant nos. 2022JC-44, 2022JQ-622, 2023-JC-QN-0922, 2023-ZDLSF-07); Fundamental Research Funds for the Central Universities (grant nos. ZYTS23188, XJSJ23190, XJS221201, QTZX23093); and the Intramural Research Program of the National Institute on Alcoholism and Alcohol Abuse (grant no. Y1AA3009).
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Affiliation(s)
- Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lijuan Sun
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, Xi'an, Shaanxi, China
| | - Juan Yu
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Gang Ji
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
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Wang J, Li G, Ji G, Hu Y, Zhang W, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow ND, Wang GJ, Zhang Y. Habenula Volume and Functional Connectivity Changes Following Laparoscopic Sleeve Gastrectomy for Obesity Treatment. Biol Psychiatry 2024; 95:916-925. [PMID: 37480977 DOI: 10.1016/j.biopsych.2023.07.009] [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: 01/10/2023] [Revised: 06/18/2023] [Accepted: 07/13/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Neuroimaging studies have revealed alterations in habenular (Hb) structure and functional connectivity (FC) in psychiatric conditions. The Hb plays a particularly critical role in regulating negative emotions, which trigger excessive food intake and obesity. However, obesity and weight loss intervention (i.e., laparoscopic sleeve gastrectomy [LSG])-associated changes in Hb structure and FC have not been studied. METHODS We used voxel-based morphometry analysis to measure changes in gray matter volume (GMV) in the Hb in 56 patients with obesity at pre-LSG and 12 months post-LSG and in 78 normal-weight (NW) control participants. Then, we conducted Hb seed-based resting-state FC (RSFC) to examine obesity-related and LSG-induced alterations in RSFC. Finally, we used mediation analysis to characterize the interrelationships among Hb GMV, RSFC, and behaviors. RESULTS Compared with NW participants, Hb GMV was smaller in patients at pre-LSG and increased at 12 months post-LSG to levels equivalent to that of NW; in addition, increases in Hb GMV were correlated with reduced body mass index (BMI). Compared with NW participants, pre-LSG patients showed greater RSFCs of the Hb-insula, Hb-precentral gyrus, and Hb-rolandic operculum and weaker RSFCs of the Hb-thalamus, Hb-hypothalamus, and Hb-caudate; LSG normalized these RSFCs. Decreased RSFC of the Hb-insula was correlated with reduced BMI, Yale Food Addiction Scale rating, and emotional eating; reduced hunger levels were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus; and reduced BMI and Yale Food Addiction Scale ratings were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus, respectively. The bidirectional relationships between Hb GMV and RSFC of the Hb-insula contributed to reduced BMI. CONCLUSIONS These findings indicate that LSG increased Hb GMV and that its related improvement in RSFC of the Hb-insula may mediate long-term benefits of LSG for eating behaviors and weight loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gang Ji
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Juan Yu
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
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Hu Y, Li G, Zhang W, Wang J, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow N, Ji G, Wang GJ, Zhang Y. Obesity is associated with alterations in anatomical connectivity of frontal-corpus callosum. Cereb Cortex 2024; 34:bhae014. [PMID: 38300178 DOI: 10.1093/cercor/bhae014] [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: 05/06/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024] Open
Abstract
Obesity has been linked to abnormal frontal function, including the white matter fibers of anterior portion of the corpus callosum, which is crucial for information exchange within frontal cortex. However, alterations in white matter anatomical connectivity between corpus callosum and cortical regions in patients with obesity have not yet been investigated. Thus, we enrolled 72 obese and 60 age-/gender-matched normal weight participants who underwent clinical measurements and diffusion tensor imaging. Probabilistic tractography with connectivity-based classification was performed to segment the corpus callosum and quantify white matter anatomical connectivity between subregions of corpus callosum and cortical regions, and associations between corpus callosum-cortex white matter anatomical connectivity and clinical behaviors were also assessed. Relative to normal weight individuals, individuals with obesity exhibited significantly greater white matter anatomical connectivity of corpus callosum-orbitofrontal cortex, which was positively correlated with body mass index and self-reported disinhibition of eating behavior, and lower white matter anatomical connectivity of corpus callosum-prefrontal cortex, which was significantly negatively correlated with craving for high-calorie food cues. The findings show that alterations in white matter anatomical connectivity between corpus callosum and frontal regions involved in reward and executive control are associated with abnormal eating behaviors.
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Affiliation(s)
- Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Haoyi Wang
- College of Westa, Southwest University, 2 Tiansheng Road, Chongqing 400715, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Nora Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
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Alabdulkader S, Al-Alsheikh AS, Miras AD, Goldstone AP. Obesity surgery and neural correlates of human eating behaviour: A systematic review of functional MRI studies. Neuroimage Clin 2024; 41:103563. [PMID: 38237270 PMCID: PMC10828606 DOI: 10.1016/j.nicl.2024.103563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 01/03/2024] [Accepted: 01/07/2024] [Indexed: 02/03/2024]
Abstract
Changes in eating behaviour including reductions in appetite and food intake, and healthier food cue reactivity, reward, hedonics and potentially also preference, contribute to weight loss and its health benefits after obesity surgery. Functional magnetic resonance imaging (fMRI) has been increasingly used to interrogate the neural correlates of eating behaviour in obesity, including brain reward-cognitive systems, changes after obesity surgery, and links with alterations in the gut-hormone-brain axis. Neural responses to food cues can be measured by changes in blood oxygen level dependent (BOLD) signal in brain regions involved in reward processing, including caudate, putamen, nucleus accumbens, insula, amygdala, orbitofrontal cortex, and top-down inhibitory control, including dorsolateral prefrontal cortex (dlPFC). This systematic review aimed to examine: (i) results of human fMRI studies involving obesity surgery, (ii) important methodological differences in study design across studies, and (iii) correlations and associations of fMRI findings with clinical outcomes, other eating behaviour measures and mechanistic measures. Of 741 articles identified, 23 were eligible for inclusion: 16 (69.6%) longitudinal, two (8.7%) predictive, and five (21.7%) cross-sectional studies. Seventeen studies (77.3%) included patients having Roux-en-Y gastric bypass (RYGB) surgery, six (26.1%) vertical sleeve gastrectomy (VSG), and five (21.7%) laparoscopic adjustable gastric banding (LAGB). The majority of studies (86.0%) were identified as having a very low risk of bias, though only six (27.3%) were controlled interventional studies, with none including randomisation to surgical and control interventions. The remaining studies (14.0%) had a low risk of bias driven by their control groups not having an active treatment. After RYGB surgery, food cue reactivity often decreased or was unchanged in brain reward systems, and there were inconsistent findings as to whether reductions in food cue reactivity was greater for high-energy than low-energy foods. There was minimal evidence from studies of VSG and LAGB surgeries for changes in food cue reactivity in brain reward systems, though effects of VSG surgery on food cue reactivity in the dlPFC were more consistently found. There was consistent evidence for post-operative increases in satiety gut hormones glucagon-like-peptide 1 (GLP-1) and peptide YY (PYY) mediating reduced food cue reactivity after RYGB surgery, including two interventional studies. Methodological heterogeneity across studies, including nutritional state, nature of food cues, post-operative timing, lack of control groups for order effects and weight loss or dietary/psychological advice, and often small sample sizes, limited the conclusions that could be drawn, especially for correlational analyses with clinical outcomes, other eating behaviour measures and potential mediators. This systematic review provides a detailed data resource for those performing or analysing fMRI studies of obesity surgery and makes suggestions to help improve reporting and design of such studies, as well as future directions.
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Affiliation(s)
- Shahd Alabdulkader
- Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, PO Box 84428, Riyadh 11671, Saudi Arabia; Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
| | - Alhanouf S Al-Alsheikh
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
| | - Alexander D Miras
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Ulster University, School of Medicine, Faculty of Life & Health Sciences, Londonderry, Northern Ireland BT48 7JL, UK.
| | - Anthony P Goldstone
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
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Jia Y, Tian Y, Wang H, Lei X. Functional connectivity from dorsolateral prefrontal cortex mediates the impact of social jetlag on depressive tendency in young adults. Chronobiol Int 2023; 40:824-833. [PMID: 37190780 DOI: 10.1080/07420528.2023.2212755] [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: 10/26/2022] [Revised: 04/16/2023] [Accepted: 05/05/2023] [Indexed: 05/17/2023]
Abstract
Social jetlag (SJL), a form of circadian rhythm disturbance, is linked to depressive symptoms; however, it is unclear what role the brain network, particularly the reward and cognitive control circuits, plays in this association. To address this issue, employing the ventral striatum (VS) and dorsolateral prefrontal cortex (DLPFC) as seeds, we used voxel-level whole-brain functional connectivity (FC) to determine the neural basis of the association between SJL and depressive tendency. Behavioral results indicated that SJL was positively associated with depression scores. Functional connection results showed that higher SJL was linked with decreased FC between the inferior orbitofrontal cortex and the VS. For DLPFC, we discovered changed FC in frontal, parietal, and occipital lobes related to SJL. More importantly, the mediation analysis revealed that the DLPFC-cuneus FC significantly mediated the relationship between SJL and depression scores. According to our study, higher SJL showed abnormal FC from the VS and DLPFC, which may involve attention impairments, cognitive control and reward function. Our results suggest that brain FC involving visual attention may explain the relationship between SJL and depressive tendency. This may offer new insights into the neural underpinnings of how circadian misalignment leads to mood issues.
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Affiliation(s)
- Yan Jia
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Ministry of Education, Key Laboratory of Cognition and Personality (Southwest University), Chongqing, China
| | - Yun Tian
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Ministry of Education, Key Laboratory of Cognition and Personality (Southwest University), Chongqing, China
| | - Haien Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Ministry of Education, Key Laboratory of Cognition and Personality (Southwest University), Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Ministry of Education, Key Laboratory of Cognition and Personality (Southwest University), Chongqing, China
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Luettich A, Sievers C, Alfaro Almagro F, Allen M, Jbabdi S, Smith SM, Pattinson KTS. Functional connectivity between interoceptive brain regions is associated with distinct health-related domains: A population-based neuroimaging study. Hum Brain Mapp 2023; 44:3210-3221. [PMID: 36939141 PMCID: PMC10171512 DOI: 10.1002/hbm.26275] [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: 09/02/2022] [Revised: 02/08/2023] [Accepted: 02/27/2023] [Indexed: 03/21/2023] Open
Abstract
Interoception is the sensation, perception, and integration of signals from within the body. It has been associated with a broad range of physiological and psychological processes. Further, interoceptive variables are related to specific regions and networks in the human brain. However, it is not clear whether or how these networks relate empirically to different domains of physiological and psychological health at the population level. We analysed a data set of 19,020 individuals (10,055 females, 8965 males; mean age: 63 years, age range: 45-81 years), who have participated in the UK Biobank Study, a very large-scale prospective epidemiological health study. Using canonical correlation analysis (CCA), allowing for the examination of associations between two sets of variables, we related the functional connectome of brain regions implicated in interoception to a selection of nonimaging health and lifestyle related phenotypes, exploring their relationship within modes of population co-variation. In one integrated and data driven analysis, we obtained four statistically significant modes. Modes could be categorised into domains of arousal and affect and cardiovascular health, respiratory health, body mass, and subjective health (all p < .0001) and were meaningfully associated with distinct neural circuits. Circuits represent specific neural "fingerprints" of functional domains and set the scope for future studies on the neurobiology of interoceptive involvement in different lifestyle and health-related phenotypes. Therefore, our research contributes to the conceptualisation of interoception and may lead to a better understanding of co-morbid conditions in the light of shared interoceptive structures.
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Affiliation(s)
- Alexander Luettich
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Carolin Sievers
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Fidel Alfaro Almagro
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Micah Allen
- Center of Functionally Integrative NeuroscienceAarhus UniversityAarhusDenmark
- Aarhus Institute of Advanced StudiesAarhus UniversityAarhusDenmark
- Cambridge PsychiatryUniversity of CambridgeCambridgeUK
| | - Saad Jbabdi
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Stephen M. Smith
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Kyle T. S. Pattinson
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
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Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol Psychiatry 2023; 28:1466-1479. [PMID: 36918706 DOI: 10.1038/s41380-023-02025-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
Obesity has tripled over the past 40 years to become a major public health issue, as it is linked with increased mortality and elevated risk for various physical and neuropsychiatric illnesses. Accumulating evidence from neuroimaging studies suggests that obesity negatively affects brain function and structure, especially within fronto-mesolimbic circuitry. Obese individuals show abnormal neural responses to food cues, taste and smell, resting-state activity and functional connectivity, and cognitive tasks including decision-making, inhibitory-control, learning/memory, and attention. In addition, obesity is associated with altered cortical morphometry, a lowered gray/white matter volume, and impaired white matter integrity. Various interventions and treatments including bariatric surgery, the most effective treatment for obesity in clinical practice, as well as dietary, exercise, pharmacological, and neuromodulation interventions such as transcranial direct current stimulation, transcranial magnetic stimulation and neurofeedback have been employed and achieved promising outcomes. These interventions and treatments appear to normalize hyper- and hypoactivations of brain regions involved with reward processing, food-intake control, and cognitive function, and also promote recovery of brain structural abnormalities. This paper provides a comprehensive literature review of the recent neuroimaging advances on the underlying neural mechanisms of both obesity and interventions, in the hope of guiding development of novel and effective treatments.
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9
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Wang J, Ji G, Li G, Hu Y, Zhang W, Ji W, Tan Z, Li H, Jiang F, Zhang Y, Wu F, von Deneen KM, Yu J, Han Y, Cui G, Manza P, Tomasi D, Volkow ND, Nie Y, Zhang Y, Wang GJ. Habenular connectivity predict weight loss and negative emotional-related eating behavior after laparoscopic sleeve gastrectomy. Cereb Cortex 2023; 33:2037-2047. [PMID: 35580853 PMCID: PMC10365841 DOI: 10.1093/cercor/bhac191] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 11/14/2022] Open
Abstract
Habenular (Hb) processes negative emotions that may drive compulsive food-intake. Its functional changes were reported following laparoscopic-sleeve-gastrectomy (LSG). However, structural connectivity (SC) of Hb-homeostatic/hedonic circuits after LSG remains unclear. We selected regions implicated in homeostatic/hedonic regulation that have anatomical connections with Hb as regions-of-interest (ROIs), and used diffusion-tensor-imaging with probabilistic tractography to calculate SC between Hb and these ROIs in 30 obese participants before LSG (PreLSG) and at 12-month post-LSG (PostLSG12) and 30 normal-weight controls. Three-factor-eating-questionnaire (TFEQ) and Dutch-eating-behavior-questionnaire (DEBQ) were used to assess eating behaviors. LSG significantly decreased weight, negative emotion, and improved self-reported eating behavior. LSG increased SC between the Hb and homeostatic/hedonic regions including hypothalamus (Hy), bilateral superior frontal gyri (SFG), left amygdala (AMY), and orbitofrontal cortex (OFC). TFEQ-hunger negatively correlated with SC of Hb-Hy at PostLSG12; and increased SC of Hb-Hy correlated with reduced depression and DEBQ-external eating. TFEQ-disinhibition negatively correlated with SC of Hb-bilateral SFG at PreLSG. Increased SC of Hb-left AMY correlated with reduced DEBQ-emotional eating. Higher percentage of total weight-loss negatively correlated with SC of Hb-left OFC at PreLSG. Enhanced SC of Hb-homeostatic/hedonic regulatory regions post-LSG may contribute to its beneficial effects in improving eating behaviors including negative emotional eating, and long-term weight-loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
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10
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Fatakdawala I, Ayaz H, Safati AB, Sakib MN, Hall PA. Effects of prefrontal theta burst stimulation on neuronal activity and subsequent eating behavior: an interleaved rTMS and fNIRS study. Soc Cogn Affect Neurosci 2023; 18:6146114. [PMID: 33615370 PMCID: PMC10074772 DOI: 10.1093/scan/nsab023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 02/02/2021] [Accepted: 02/19/2021] [Indexed: 11/13/2022] Open
Abstract
The dorsolateral prefrontal cortex (dlPFC) and dorsomedial prefrontal cortex (dmPFC) are both important nodes for self-control and decision-making but through separable processes (cognitive control vs evaluative processing). This study aimed to examine the effects of excitatory brain stimulation [intermittent theta burst stimulation (iTBS)] targeting the dlPFC and dmPFC on eating behavior. iTBS was hypothesized to decrease consumption of appetitive snack foods, via enhanced interference control for dlPFC stimulation and reduced delay discounting (DD) for dmPFC stimulation. Using a single-blinded, between-subjects design, participants (N = 43) were randomly assigned to one of three conditions: (i) iTBS targeting the left dlPFC, (ii) iTBS targeting bilateral dmPFC or (iii) sham. Participants then completed two cognitive tasks (DD and Flanker), followed by a bogus taste test. Functional near-infrared spectroscopy imaging revealed that increases in the medial prefrontal cortex activity were evident in the dmPFC stimulation group during the DD task; likewise, a neural efficiency effect was observed in the dlPFC stimulation group during the Flanker. Gender significantly moderated during the taste test, with females in the dmPFC showing paradoxical increases in food consumption compared to sham. Findings suggest that amplification of evaluative processing may facilitate eating indulgence when preponderant social cues are permissive and food is appetitive.
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Affiliation(s)
- Idris Fatakdawala
- School of Public Health and Health Systems, University of Waterloo, Waterloo, CA, ON, Canada
| | - Hasan Ayaz
- School of Biomedical Engineering, Science and Health, Drexel University, Philadelphia, PA, USA.,Department of Psychology, College of Arts and Sciences, Drexel University, Philadelphia, PA, USA.,Drexel Solutions Institute, Drexel University, Philadelphia, PA, USA.,Department of Family and Community Health, University of Pennsylvania, Philadelphia, PA, USA.,Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Adrian B Safati
- School of Public Health and Health Systems, University of Waterloo, Waterloo, CA, ON, Canada
| | - Mohammad N Sakib
- School of Public Health and Health Systems, University of Waterloo, Waterloo, CA, ON, Canada
| | - Peter A Hall
- School of Public Health and Health Systems, University of Waterloo, Waterloo, CA, ON, Canada.,Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada.,Department of Psychology, University of Waterloo, Waterloo, ON, Canada
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11
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Fanni G, Kagios C, Roman E, Sundbom M, Wikström J, Haller S, Eriksson JW. Effects of gastric bypass surgery on brain connectivity responses to hypoglycemia. Endocrine 2023; 79:304-312. [PMID: 36459336 PMCID: PMC9892147 DOI: 10.1007/s12020-022-03253-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/03/2022] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Roux-en-Y gastric bypass (RYGB) leads to beneficial effects on glucose homeostasis, and attenuated hormonal counterregulatory responses to hypoglycemia are likely to contribute. RYGB also induces alterations in neural activity of cortical and subcortical brain regions. We aimed to characterize RYGB-induced changes in resting-state connectivity of specific brain regions of interest for energy homeostasis and behavioral control during hypoglycemia. METHOD Ten patients with BMI > 35 kg/m2 were investigated with brain PET/MR imaging during a hyperinsulinemic normo- and hypoglycemic clamp, before and 4 months after RYGB. Hormonal levels were assessed throughout the clamp. Resting-state (RS) fMRI scans were acquired in the glucose-lowering phase of the clamp, and they were analyzed with a seed-to-voxel approach. RESULTS RS connectivity during initiation of hypoglycemia was significantly altered after RYGB between nucleus accumbens, thalamus, caudate, hypothalamus and their crosstalk with cortical and subcortical regions. Connectivity between the nucleus accumbens and the frontal pole was increased after RYGB, and this was associated with a reduction of ACTH (r = -0.639, p = 0.047) and cortisol (r = -0.635, p = 0.048) responses. Instead, connectivity between the caudate and the frontal pole after RYGB was reduced and this was associated with less attenuation of glucagon response during the hypoglycemic clamp (r = -0.728, p = 0.017), smaller reduction in fasting glucose (r = -0.798, p = 0.007) and less excess weight loss (r = 0.753, p = 0.012). No other significant associations were found between post-RYGB changes in ROI-to-voxel regional connectivity hormonal responses and metabolic or anthropometric outcomes. CONCLUSION RYGB alters brain connectivity during hypoglycemia of several neural pathways involved in reward, inhibitory control, and energy homeostasis. These changes are associated with altered hormonal responses to hypoglycemia and may be involved in the glucometabolic outcome of RYGB.
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Affiliation(s)
- Giovanni Fanni
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Christakis Kagios
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Erika Roman
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
- Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Magnus Sundbom
- Department of Surgical Sciences, Surgery, Uppsala University, Uppsala, Sweden
| | - Johan Wikström
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
| | - Sven Haller
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
- CIMC-Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland
| | - Jan W Eriksson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden.
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12
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Parsons N, Steward T, Clohesy R, Almgren H, Duehlmeyer L. A systematic review of resting-state functional connectivity in obesity: Refining current neurobiological frameworks and methodological considerations moving forward. Rev Endocr Metab Disord 2022; 23:861-879. [PMID: 34159504 DOI: 10.1007/s11154-021-09665-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 02/07/2023]
Abstract
Obesity is the second most common cause of preventable morbidity worldwide. Resting-state functional magnetic resonance imaging (fMRI) has been used extensively to characterise altered communication between brain regions in individuals with obesity, though findings from this research have not yet been systematically evaluated within the context of prominent neurobiological frameworks. This systematic review aggregated resting-state fMRI findings in individuals with obesity and evaluated the contribution of these findings to current neurobiological models. Findings were considered in relation to a triadic model of problematic eating, outlining disrupted communication between reward, inhibitory, and homeostatic systems. We identified a pattern of consistently increased orbitofrontal and decreased insula cortex resting-state functional connectivity in individuals with obesity in comparison to healthy weight controls. BOLD signal amplitude was also increased in people with obesity across studies, predominantly confined to subcortical regions, including the hippocampus, amygdala, and putamen. We posit that altered orbitofrontal cortex connectivity may be indicative of a shift in the valuation of food-based rewards and that dysfunctional insula connectivity likely contributes to altered homeostatic signal processing. Homeostatic violation signals in obesity may be maintained despite satiety, thereby 'hijacking' the executive system and promoting further food intake. Moving forward, we provide a roadmap for more reliable resting-state and task-based functional connectivity experiments, which must be reconciled within a common framework if we are to uncover the interplay between psychological and biological factors within current theoretical frameworks.
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Affiliation(s)
- Nicholas Parsons
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne Burwood Campus, VIC, Australia
| | - Trevor Steward
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Rebecca Clohesy
- School of Psychology, Deakin University, Melbourne Burwood Campus, VIC, Australia
| | - Hannes Almgren
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
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13
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Kozarzewski L, Maurer L, Mähler A, Spranger J, Weygandt M. Computational approaches to predicting treatment response to obesity using neuroimaging. Rev Endocr Metab Disord 2022; 23:773-805. [PMID: 34951003 PMCID: PMC9307532 DOI: 10.1007/s11154-021-09701-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/02/2021] [Indexed: 12/11/2022]
Abstract
Obesity is a worldwide disease associated with multiple severe adverse consequences and comorbid conditions. While an increased body weight is the defining feature in obesity, etiologies, clinical phenotypes and treatment responses vary between patients. These variations can be observed within individual treatment options which comprise lifestyle interventions, pharmacological treatment, and bariatric surgery. Bariatric surgery can be regarded as the most effective treatment method. However, long-term weight regain is comparably frequent even for this treatment and its application is not without risk. A prognostic tool that would help predict the effectivity of the individual treatment methods in the long term would be essential in a personalized medicine approach. In line with this objective, an increasing number of studies have combined neuroimaging and computational modeling to predict treatment outcome in obesity. In our review, we begin by outlining the central nervous mechanisms measured with neuroimaging in these studies. The mechanisms are primarily related to reward-processing and include "incentive salience" and psychobehavioral control. We then present the diverse neuroimaging methods and computational prediction techniques applied. The studies included in this review provide consistent support for the importance of incentive salience and psychobehavioral control for treatment outcome in obesity. Nevertheless, further studies comprising larger sample sizes and rigorous validation processes are necessary to answer the question of whether or not the approach is sufficiently accurate for clinical real-world application.
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Affiliation(s)
- Leonard Kozarzewski
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Lukas Maurer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Anja Mähler
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Martin Weygandt
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany.
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14
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Chen Z, Feng T. Neural connectome features of procrastination: Current progress and future direction. Brain Cogn 2022; 161:105882. [PMID: 35679698 DOI: 10.1016/j.bandc.2022.105882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/23/2022] [Accepted: 05/26/2022] [Indexed: 11/02/2022]
Abstract
Procrastination refers to an irrationally delay for intended courses of action despite of anticipating a negative consequence due to this delay. Previous studies tried to reveal the neural substrates of procrastination in terms of connectome-based biomarkers. Based on this, we proposed a unified triple brain network model for procrastination and pinpointed out what challenges we are facing in understanding neural mechanism of procrastination. Specifically, based on neuroanatomical features, the unified triple brain network model proposed that connectome-based underpinning of procrastination could be ascribed to the abnormalities of self-control network (i.e., dorsolateral prefrontal cortex, DLPFC), emotion-regulation network (i.e., orbital frontal cortex, OFC), and episodic prospection network (i.e., para-hippocampus cortex, PHC). Moreover, based on the brain functional features, procrastination had been attributed to disruptive neural circuits on FPN (frontoparietal network)-SCN (subcortical network) and FPN-SAN (salience network), which led us to hypothesize the crucial roles of interplay between these networks on procrastination in unified triple brain network model. Despite of these findings, poor interpretability and computational model limited further understanding for procrastination from theoretical and neural perspectives. On balance, the current study provided an overview to show current progress on the connectome-based biomarkers for procrastination, and proposed the integrative neurocognitive model of procrastination.
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Affiliation(s)
- Zhiyi Chen
- Faculty of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China.
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15
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Wang J, Li G, Hu Y, Zhang W, Zhang L, Tan Z, Li H, Jia Z, von Deneen KM, Li X, Yu J, Han Y, Cui G, Manza P, Shokri-Kojori E, Tomasi D, Volkow ND, Nie Y, Ji G, Zhang Y, Wang GJ. Habenular and mediodorsal thalamic connectivity predict persistent weight loss after laparoscopic sleeve gastrectomy. Obesity (Silver Spring) 2022; 30:172-182. [PMID: 34889060 DOI: 10.1002/oby.23325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The aim of this study was to investigate laparoscopic sleeve gastrectomy (LSG)-induced changes in connectivity between regions involved with reward/antireward and cognitive control and the extent to which these changes persist after surgery and predict sustainable weight loss. METHODS Whole-brain local functional connectivity density (lFCD) was studied in 25 participants with obesity who underwent resting-state functional MRI before (PreLSG), 1 month after (PostLSG1 ), and 12 months after (PostLSG12 ) LSG and compared with 25 normal-weight controls. Regions with significant time effects of LSG on functional connectivity density were identified for subsequent seed-based connectivity analyses and to examine associations with behavior. RESULTS LSG significantly increased lFCD in the mediodorsal thalamic nucleus (MD) and in the habenula (Hb) at PostLSG12 compared with PreLSG/PostLSG1 , whereas it decreased lFCD in the posterior cingulate cortex/precuneus (PCC/PreCun) at PostLSG1 /PostLSG12 , and these changes were associated with reduction in BMI. In contrast, controls had no significant lFCD differences between baseline and repeated measures. MD had stronger connectivity with PreCun and Hb at PostLSG12 compared with PreLSG/PostLSG1 , and the increased MD-left PreCun and Hb-MD connectivity correlated with decreases in hunger and BMI, respectively. PCC/PreCun had stronger connectivity with the insula at PostLSG1-12 . CONCLUSIONS The findings highlight the importance of reward and interoceptive regions as well as that of regions mediating negative emotions in the long-term therapeutic benefits of LSG.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lei Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Zhenzhen Jia
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xiaohua Li
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
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16
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Zhang W, Li G, Manza P, Hu Y, Wang J, Lv G, He Y, von Deneen KM, Yu J, Han Y, Cui G, Volkow ND, Nie Y, Ji G, Wang GJ, Zhang Y. Functional Abnormality of the Executive Control Network in Individuals With Obesity During Delay Discounting. Cereb Cortex 2021; 32:2013-2021. [PMID: 34649270 DOI: 10.1093/cercor/bhab333] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 08/11/2021] [Accepted: 08/12/2021] [Indexed: 01/14/2023] Open
Abstract
Individuals with obesity (OB) prefer immediate rewards of food intake over the delayed reward of healthy well-being achieved through diet management and physical activity, compared with normal-weight controls (NW). This may reflect heightened impulsivity, an important factor contributing to the development and maintenance of obesity. However, the neural mechanisms underlying the greater impulsivity in OB remain unclear. Therefore, the current study employed functional magnetic resonance imaging with a delay discounting (DD) task to examine the association between impulsive choice and altered neural mechanisms in OB. During decision-making in the DD task, OB compared with NW had greater activation in the dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex, which was associated with greater discounting rate and weaker cognitive control as measured with the Three-Factor Eating Questionnaire (TFEQ). In addition, the association between DLPFC activation and cognitive control (TFEQ) was mediated by discounting rate. Psychophysiological interaction analysis showed decreased connectivity of DLPFC-inferior parietal cortex (within executive control network [ECN]) and angular gyrus-caudate (ECN-reward) in OB relative to NW. These findings reveal that the aberrant function and connectivity in core regions of ECN and striatal brain reward regions underpin the greater impulsivity in OB and contribute to abnormal eating behaviors.
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Affiliation(s)
- Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Ganggang Lv
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang He
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, The Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, The Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, The Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
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17
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Heinrichs HS, Beyer F, Medawar E, Prehn K, Ordemann J, Flöel A, Witte AV. Effects of bariatric surgery on functional connectivity of the reward and default mode network: A pre-registered analysis. Hum Brain Mapp 2021; 42:5357-5373. [PMID: 34432350 PMCID: PMC8519880 DOI: 10.1002/hbm.25624] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/07/2021] [Accepted: 08/02/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity imposes serious health risks and involves alterations in resting‐state functional connectivity of brain networks involved in eating behavior. Bariatric surgery is an effective treatment, but its effects on functional connectivity are still under debate. In this pre‐registered study, we aimed to determine the effects of bariatric surgery on major resting‐state brain networks (reward and default mode network) in a longitudinal controlled design. Thirty‐three bariatric surgery patients and 15 obese waiting‐list control patients underwent magnetic resonance imaging at baseline, after 6 and 12 months. We conducted a pre‐registered whole‐brain time‐by‐group interaction analysis, and a time‐by‐group interaction analysis on within‐network connectivity. In exploratory analyses, we investigated the effects of weight loss and head motion. Bariatric surgery compared to waiting did not significantly affect functional connectivity of the reward network and the default mode network (FWE‐corrected p > .05), neither whole‐brain nor within‐network. In exploratory analyses, surgery‐related BMI decrease (FWE‐corrected p = .041) and higher average head motion (FWE‐corrected p = .021) resulted in significantly stronger connectivity of the reward network with medial posterior frontal regions. This pre‐registered well‐controlled study did not support a strong effect of bariatric surgery, compared to waiting, on major resting‐state brain networks after 6 months. Exploratory analyses indicated that head motion might have confounded the effects. Data pooling and more rigorous control of within‐scanner head motion during data acquisition are needed to substantiate effects of bariatric surgery on brain organization.
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Affiliation(s)
- Hannah S Heinrichs
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Frauke Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,CRC 1052 "Obesity Mechanisms", Subproject A1, University of Leipzig, Leipzig, Germany
| | - Evelyn Medawar
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Kristin Prehn
- Department of Neurology & NeuroCure Clinical Research Center, Charité University Medicine, Berlin, Germany.,Department of Psychology, Medical School Hamburg, Hamburg, Germany
| | - Jürgen Ordemann
- Center for Bariatric and Metabolic Surgery, Charité University Medicine, Berlin, Germany.,Center for Bariatric and Metabolic Surgery, Vivantes Clinic Spandau, Berlin, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany.,German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,CRC 1052 "Obesity Mechanisms", Subproject A1, University of Leipzig, Leipzig, Germany.,Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
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18
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Electroacupuncture enhances resting-state functional connectivity between dorsal caudate and precuneus and decreases associated leptin levels in overweight/obese subjects. Brain Imaging Behav 2021; 16:445-454. [PMID: 34415492 DOI: 10.1007/s11682-021-00519-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2021] [Indexed: 10/20/2022]
Abstract
Electroacupuncture (EA) is a safe and effective method for treating obesity. However, how it modulates reward-related brain activity/functional connectivity and gut hormones remains unclear. We employed resting-state functional magnetic resonance imaging (RS-fMRI) and resting-state functional connectivity (RSFC) to investigate EA induced changes in resting-state activity and RSFC in reward-related regions and its association with gut hormones in overweight/obese subjects who received real (n = 20) and Sham (n = 15) stimulation. Results showed reduced leptin levels was positively correlated with reduced body mass index (BMI) and negatively correlated with increased cognitive-control as measured with Three-Factor-Eating-Questionnaire (TFEQ). Significant time effects on RSFC between dorsal caudate (DC) and precuneus were due to significant increased RSFC strength in both EA and Sham groups. In addition, increased RSFC of DC-precuneus was negatively correlated with reduced BMI and leptin levels in the EA group. Mediation analysis showed that the relationship between increased DC-precuneus RSFC strength and reduced BMI was mediated by reduced leptin levels. These findings reflect the association between EA-induced brain reward-related RSFC and leptin levels, and decreased leptin levels mediated altered DC-precuneus RSFC strength and consequent weight-loss, suggesting the potential role of EA in reducing weight and appetite.
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19
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Hong J, Bo T, Xi L, Xu X, He N, Zhan Y, Li W, Liang P, Chen Y, Shi J, Li D, Yan F, Gu W, Wang W, Liu R, Wang J, Wang Z, Ning G. Reversal of Functional Brain Activity Related to Gut Microbiome and Hormones After VSG Surgery in Patients With Obesity. J Clin Endocrinol Metab 2021; 106:e3619-e3633. [PMID: 33950216 PMCID: PMC8372652 DOI: 10.1210/clinem/dgab297] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Indexed: 12/19/2022]
Abstract
CONTEXT Vertical sleeve gastrectomy (VSG) is becoming a prioritized surgical intervention for obese individuals; however, the brain circuits that mediate its effective control of food intake and predict surgical outcome remain largely unclear. OBJECTIVE We investigated VSG-correlated alterations of the gut-brain axis. METHODS In this observational cohort study, 80 patients with obesity were screened. A total of 36 patients together with 26 normal-weight subjects were enrolled and evaluated using the 21-item Three-Factor Eating Questionnaire (TFEQ), MRI scanning, plasma intestinal hormone analysis, and fecal sample sequencing. Thirty-two patients underwent VSG treatment and 19 subjects completed an average of 4-month follow-up evaluation. Data-driven regional homogeneity (ReHo) coupled with seed-based connectivity analysis were used to quantify VSG-related brain activity. Longitudinal alterations of body weight, eating behavior, brain activity, gastrointestinal hormones, and gut microbiota were detected and subjected to repeated measures correlation analysis. RESULTS VSG induced significant functional changes in the right putamen (PUT.R) and left supplementary motor area, both of which correlated with weight loss and TFEQ scores. Moreover, postprandial levels of active glucagon-like peptide-1 (aGLP-1) and Ghrelin were associated with ReHo of PUT.R; meanwhile, relative abundance of Clostridia increased by VSG was associated with improvements in aGLP-1 secretion, PUT.R activity, and weight loss. Importantly, VSG normalized excessive functional connectivities with PUT.R, among which baseline connectivity between PUT.R and right orbitofrontal cortex was related to postoperative weight loss. CONCLUSION VSG causes correlated alterations of gut-brain axis, including Clostridia, postprandial aGLP-1, PUT.R activity, and eating habits. Preoperative connectivity of PUT.R may represent a potential predictive marker of surgical outcome in patients with obesity.
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Affiliation(s)
- Jie Hong
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Tingting Bo
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liuqing Xi
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | | | - Naying He
- Department of Radiology, Ruijin Hospital, SJTUSM, Shanghai 200025, China
| | - Yafeng Zhan
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wanyu Li
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Peiwen Liang
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Yufei Chen
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Juan Shi
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Danjie Li
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, SJTUSM, Shanghai 200025, China
| | - Weiqiong Gu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Weiqing Wang
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Ruixin Liu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Jiqiu Wang
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Zheng Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China
| | - Guang Ning
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Commission, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
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20
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Bonaz B, Lane RD, Oshinsky ML, Kenny PJ, Sinha R, Mayer EA, Critchley HD. Diseases, Disorders, and Comorbidities of Interoception. Trends Neurosci 2021; 44:39-51. [PMID: 33378656 DOI: 10.1016/j.tins.2020.09.009] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/21/2020] [Accepted: 09/25/2020] [Indexed: 12/17/2022]
Abstract
Interoception, the sense of the body's internal physiological state, underpins homeostatic reflexes, motivational states, and sensations contributing to emotional experiences. The continuous nature of interoceptive processing, coupled to behavior, is implicated in the neurobiological construction of the sense of self. Aberrant integration and control of interoceptive signals, originating in the brain and/or the periphery, can perturb the whole system. Interoceptive abnormalities are implicated in the pathophysiology of psychiatric disorders and in the symptomatic expression of developmental, neurodegenerative, and neurological disorders. Moreover, interoceptive mechanisms appear central to somatic disorders of brain-body interactions, including functional digestive disorders, chronic pain, and comorbid conditions. The present article provides an overview of disorders of interoception and suggests future directions for better understanding, diagnosis, and management of these disorders.
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Affiliation(s)
- Bruno Bonaz
- Université Grenoble Alpes, Inserm, U1216, Grenoble Institute Neurosciences and Division of Hepato-Gastroenterology, CHU Grenoble Alpes, 38000 Grenoble, France.
| | - Richard D Lane
- Department of Psychiatry, University of Arizona, Tucson, AZ 85724-5002, USA; Department of Psychology, University of Arizona, Tucson, AZ 85724-5002, USA; Department of Neuroscience, University of Arizona, Tucson, AZ 85724-5002, USA
| | - Michael L Oshinsky
- National Institute of Neurological Disorders and Stroke/National Institutes of Health, Bethesda, MD 20894, USA
| | - Paul J Kenny
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rajita Sinha
- Yale Stress Center, Yale School of Medicine, New Haven, CT, 06519, USA
| | - Emeran A Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Hugo D Critchley
- Department of Neuroscience, Brighton and Sussex Medical School, Brighton, UK
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21
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Bao Z, Howidi B, Burhan AM, Frewen P. Self-Referential Processing Effects of Non-invasive Brain Stimulation: A Systematic Review. Front Neurosci 2021; 15:671020. [PMID: 34177450 PMCID: PMC8223877 DOI: 10.3389/fnins.2021.671020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/07/2021] [Indexed: 12/03/2022] Open
Abstract
Systematic reviews of neuroimaging studies confirm stimulus-induced activity in response to verbal and non-verbal self-referential processing (SRP) in cortical midline structures, temporoparietal cortex and insula. Whether SRP can be causally modulated by way of non-invasive brain stimulation (NIBS) has also been investigated in several studies. Here we summarize the NIBS literature including 27 studies of task-based SRP comparing response between verbal and non-verbal SRP tasks. The studies differed in design, experimental tasks and stimulation parameters. Results support the role of left inferior parietal lobule (left IPL) in verbal SRP and for the medial prefrontal cortex when valenced stimuli were used. Further, results support roles for the bilateral parietal lobe (IPL, posterior cingulate cortex), the sensorimotor areas (the primary sensory and motor cortex, the premotor cortex, and the extrastriate body area) and the insula in non-verbal SRP (bodily self-consciousness). We conclude that NIBS may differentially modulate verbal and non-verbal SRP by targeting the corresponding brain areas.
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Affiliation(s)
- Zhongjie Bao
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, ON, Canada.,Interdisciplinary Program in Neuroscience, Western University, London, ON, Canada
| | - Belal Howidi
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, ON, Canada.,Interdisciplinary Program in Neuroscience, Western University, London, ON, Canada
| | - Amer M Burhan
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, ON, Canada.,Ontario Shores Centre for Mental Health Sciences, Whitby, ON, Canada.,Department of Psychiatry, Temerty School of Medicine, University of Toronto, Toronto, ON, Canada
| | - Paul Frewen
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, ON, Canada.,Interdisciplinary Program in Neuroscience, Western University, London, ON, Canada
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22
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Brain–stomach coupling: Anatomy, functions, and future avenues of research. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021. [DOI: 10.1016/j.cobme.2021.100270] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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23
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Abnormalities in the thalamo-cortical network in patients with functional constipation. Brain Imaging Behav 2021; 15:630-642. [PMID: 32314199 DOI: 10.1007/s11682-020-00273-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Functional constipation (FCon) is a common functional gastrointestinal disorder (FGID); neuroimaging studies have shown brain functional abnormalities in thalamo-cortical regions in patients with FGID. However, association between FCon and topological characteristics of brain networks remains largely unknown. We employed resting-state functional magnetic resonance imaging (RS-fMRI) and graph theory approach to investigate functional brain topological organization in 42 patients with FCon and 41 healthy controls (HC) from perspectives of global, regional and modular levels. Results showed patients with FCon had a significantly lower normalized clustering coefficient and small-worldness, implying decreased brain functional connectivity. Regions showed altered nodal degree and efficiency mainly located in the thalamus, rostral anterior cingulate cortex (rACC), and supplementary motor area (SMA), which are involved in somatic/sensory, emotional processing and motor-control. For the modular analysis, thalamus, rACC and SMA had an aberrant within-module nodal degree and nodal efficiency, and thalamus-related network exhibited abnormal interaction with the limbic network (amygdala and hippocampal gyrus). Nodal degree in the thalamus was negatively correlated with difficulty of defecation, and nodal degree in the rACC was negatively correlated with sensation of incomplete evacuation. These findings indicated that FCon was associated with abnormalities in the thalamo-cortical network.
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24
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Abstract
In recent years, plenty of researches have reported in obese individuals with abnormal brain processes implicated in homeostatic regulation, reward, emotion, memory, attention, and executive function in eating behaviors. Thus, treating obesity cannot remain "brainless." Behavioral and psychological interventions activate the food reward, attention, and motivation system, leading to minimal weight loss and high relapse rates. Pharmacotherapy is an effective weight loss method and regulate brain activity but with concerns about its brain function safety problems. Obesity surgery, the most effective therapy currently available for obesity, shows pronounced effects on brain activity, such as deactivation of reward and attention system, and activation of inhibition control toward food cues. In this review, we present an overview of alterations in the brain after the three common weight loss methods.
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25
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Duan S, Liu L, Li G, Wang J, Hu Y, Zhang W, Tan Z, Jia Z, Zhang L, von Deneen KM, Zhang Y, Nie Y, Cui G. Altered Functional Connectivity Within and Between Salience and Sensorimotor Networks in Patients With Functional Constipation. Front Neurosci 2021; 15:628880. [PMID: 33776637 PMCID: PMC7991789 DOI: 10.3389/fnins.2021.628880] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/01/2021] [Indexed: 12/12/2022] Open
Abstract
Functional constipation (FCon) is a common functional gastrointestinal disorder. A considerable portion of patients with FCon is associated with anxiety/depressive status (FCAD). Previous neuroimaging studies mainly focused on patients with FCon without distinguishing FCAD from FCon patients without anxiety/depressive status (FCNAD). Differences in brain functions between these two subtypes remain unclear. Thus, we employed resting-state functional magnetic resonance imaging (RS-fMRI) and graph theory method to investigate differences in brain network connectivity and topology in 41 FCAD, 42 FCNAD, and 43 age- and gender-matched healthy controls (HCs). FCAD/FCNAD showed significantly lower normalized clustering coefficient and small-world-ness. Both groups showed altered nodal degree/efficiency mainly in the rostral anterior cingulate cortex (rACC), precentral gyrus (PreCen), supplementary motor area (SMA), and thalamus. In the FCAD group, nodal degree in the SMA was negatively correlated with difficulty of defecation, and abdominal pain was positively correlated with nodal degree/efficiency in the rACC, which had a lower within-module nodal degree. The salience network (SN) exhibited higher functional connectivity (FC) with the sensorimotor network (SMN) in FCAD/FCNAD, and FC between these two networks was negatively correlated with anxiety ratings in FCAD group. Additionally, FC of anterior insula (aINS)-rACC was only correlated with constipation symptom (i.e., abdominal pain) in the FCNAD group. In the FCAD group, FCs of dorsomedial prefrontal cortex-rACC, PreCen-aINS showed correlations with both constipation symptom (i.e., difficulty of defecation) and depressive status. These findings indicate the differences in FC of the SN-SMN between FCAD and FCNAD and provide neuroimaging evidence based on brain function, which portrays important clues for improving new treatment strategies.
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Affiliation(s)
- Shijun Duan
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Lei Liu
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Zhenzhen Jia
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Lei Zhang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Karen M. von Deneen
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi’an, China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi’an, China
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26
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Schmidt L, Medawar E, Aron-Wisnewsky J, Genser L, Poitou C, Clément K, Plassmann H. Resting-state connectivity within the brain's reward system predicts weight loss and correlates with leptin. Brain Commun 2021; 3:fcab005. [PMID: 33615220 PMCID: PMC7884604 DOI: 10.1093/braincomms/fcab005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 11/12/2020] [Accepted: 11/30/2020] [Indexed: 12/19/2022] Open
Abstract
Weight gain is often associated with the pleasure of eating food rich in calories. This idea is based on the findings that people with obesity showed increased neural activity in the reward and motivation systems of the brain in response to food cues. Such correlations, however, overlook the possibility that obesity may be associated with a metabolic state that impacts the functioning of reward and motivation systems, which in turn could be linked to reactivity to food and eating behaviour and weight gain. In a study involving 44 female participants [14 patients with obesity, aged 20–63 years (mean: 42, SEM: 3.2 years), and 30 matched lean controls, aged 22–60 years (mean: 37, SEM: 1.8 years)], we investigated how ventromedial prefrontal cortex seed-to-voxel resting-state connectivity distinguished between lean and obese participants at baseline. We used the results of this first step of our analyses to examine whether changes in ventromedial prefrontal cortex resting-state connectivity over 8 months could formally predict weight gain or loss. It is important to note that participants with obesity underwent bariatric surgery at the beginning of our investigation period. We found that ventromedial prefrontal cortex–ventral striatum resting-state connectivity and ventromedial–dorsolateral prefrontal cortex resting-state connectivity were sensitive to obesity at baseline. However, only the ventromedial prefrontal cortex–ventral striatum resting-state connectivity predicted weight changes over time using cross-validation, out-of-sample prediction analysis. Such an out-of-sample prediction analysis uses the data of all participants of a training set to predict the actually observed data in one independent participant in the hold-out validation sample and is then repeated for all participants. In seeking to explain the reason why ventromedial pre-frontal cortex–ventral striatum resting-state connectivity as the central hub of the brain’s reward and motivational system may predict weight change over time, we linked weight loss surgery-induced changes in ventromedial prefrontal cortex–ventral striatum resting-state connectivity to surgery-induced changes in homeostatic hormone regulation. More specifically, we focussed on changes in fasting state systemic leptin, a homeostatic hormone signalling satiety, and inhibiting reward-related dopamine signalling. We found that the surgery-induced increase in ventromedial prefrontal cortex–ventral striatum resting-state connectivity was correlated with a decrease in fasting-state systemic leptin. These findings establish the first link between individual differences in brain connectivity in reward circuits in a more tonic state at rest, weight change over time and homeostatic hormone regulation.
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Affiliation(s)
- Liane Schmidt
- Control-Interoception-Attention Team, Institut du Cerveau et de la Moelle épinière (ICM), Inserm UMR 1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, France
| | - Evelyn Medawar
- Laboratoire de Neuroscience Cognitive, Ecole Normale Supérieure, Inserm U960, 75005 Paris, France
| | - Judith Aron-Wisnewsky
- Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France.,Nutrition Department, CRNH Ile de France, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, 75013 Paris, France
| | - Laurent Genser
- Visceral Surgery Department, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, 75013 Paris, France
| | - Christine Poitou
- Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France
| | - Karine Clément
- Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France
| | - Hilke Plassmann
- Control-Interoception-Attention Team, Institut du Cerveau et de la Moelle épinière (ICM), Inserm UMR 1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, France.,Marketing Area, INSEAD 77305, Fontainebleau, France
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27
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Legget KT, Wylie KP, Cornier MA, Berman BD, Tregellas JR. Altered between-network connectivity in individuals prone to obesity. Physiol Behav 2021; 229:113242. [PMID: 33157075 PMCID: PMC7775284 DOI: 10.1016/j.physbeh.2020.113242] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 10/30/2020] [Accepted: 10/31/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Investigating intrinsic brain functional connectivity may help identify the neurobiology underlying cognitive patterns and biases contributing to obesity propensity. To address this, the current study used a novel whole-brain, data-driven approach to examine functional connectivity differences in large-scale network interactions between obesity-prone (OP) and obesity-resistant (OR) individuals. METHODS OR (N = 24) and OP (N = 25) adults completed functional magnetic resonance imaging (fMRI) during rest. Large-scale brain networks were identified using independent component analysis (ICA). Voxel-specific between-network connectivity analysis assessed correlations between ICA component time series' and individual voxel time series, identifying regions strongly connected to many networks, i.e., "hubs". RESULTS Significant group differences in between-network connectivity (OP vs. OR; FDR-corrected) were observed in bilateral basal ganglia (left: q = 0.009; right: q = 0.010) and right dorsolateral prefrontal cortex (dlPFC; q = 0.026), with OP>OR. Basal ganglia differences were largely driven by a more strongly negative correlation with a lateral sensorimotor network in OP, with dlPFC differences driven by a more strongly negative correlation with an inferior visual network in OP. CONCLUSIONS Greater between-network connectivity was observed in the basal ganglia and dlPFC in OP, driven by stronger associations with lateral sensorimotor and inferior visual networks, respectively. This may reflect a disrupted balance between goal-directed and habitual control systems and between internal/external monitoring processes.
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Affiliation(s)
- Kristina T Legget
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Research Service, Rocky Mountain Regional VA Medical Center, Aurora, CO, United States.
| | - Korey P Wylie
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States
| | - Marc-Andre Cornier
- Research Service, Rocky Mountain Regional VA Medical Center, Aurora, CO, United States; Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Division of Geriatric Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States
| | - Brian D Berman
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Department of Neurology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Neurology Section, Rocky Mountain Regional VA Medical Center, Aurora, CO, United States
| | - Jason R Tregellas
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Research Service, Rocky Mountain Regional VA Medical Center, Aurora, CO, United States
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28
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Zhang W, Ji G, Manza P, Li G, Hu Y, Wang J, Lv G, He Y, von Deneen KM, Han Y, Cui G, Tomasi D, Volkow ND, Nie Y, Wang GJ, Zhang Y. Connectome-Based Prediction of Optimal Weight Loss Six Months After Bariatric Surgery. Cereb Cortex 2020; 31:2561-2573. [PMID: 33350441 DOI: 10.1093/cercor/bhaa374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 10/06/2020] [Accepted: 11/09/2020] [Indexed: 12/19/2022] Open
Abstract
Despite bariatric surgery being the most effective treatment for obesity, a proportion of subjects have suboptimal weight loss post-surgery. Therefore, it is necessary to understand the mechanisms behind the variance in weight loss and identify specific baseline biomarkers to predict optimal weight loss. Here, we employed functional magnetic resonance imaging (fMRI) with baseline whole-brain resting-state functional connectivity (RSFC) and a multivariate prediction framework integrating feature selection, feature transformation, and classification to prospectively identify obese patients that exhibited optimal weight loss at 6 months post-surgery. Siamese network, which is a multivariate machine learning method suitable for small sample analysis, and K-nearest neighbor (KNN) were cascaded as the classifier (Siamese-KNN). In the leave-one-out cross-validation, the Siamese-KNN achieved an accuracy of 83.78%, which was substantially higher than results from traditional classifiers. RSFC patterns contributing to the prediction consisted of brain networks related to salience, reward, self-referential, and cognitive processing. Further RSFC feature analysis indicated that the connection strength between frontal and parietal cortices was stronger in the optimal versus the suboptimal weight loss group. These findings show that specific RSFC patterns could be used as neuroimaging biomarkers to predict individual weight loss post-surgery and assist in personalized diagnosis for treatment of obesity.
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Affiliation(s)
- Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Ganggang Lv
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang He
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
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29
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Gu Y, Li G, Wang J, von Deneen KM, Wu K, Yang Y, She J, Ji G, Nie Y, Cui G, Zhang Y, He S. Comparing the Impact of Laparoscopic Sleeve Gastrectomy and Gastric Cancer Surgery on Resting-State Brain Activity and Functional Connectivity. Front Neurosci 2020; 14:614092. [PMID: 33324159 PMCID: PMC7726325 DOI: 10.3389/fnins.2020.614092] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 11/04/2020] [Indexed: 11/18/2022] Open
Abstract
Laparoscopic sleeve gastrectomy (LSG) is one of the most performed bariatric surgeries in clinical practice. Growing neuroimaging evidence shows that LSG induces brain functional and structural alterations accompany with sustained weight-loss. Meanwhile, for clinical treatment of gastric cancer, stomach removal surgery is a similar procedure to LSG. It is unclear if the gastric cancer surgery (GCS) would induce the similar alterations in brain functions and structures as LSG, and it would help to clarify the specificity of the LSG. We recruited 24 obese patients who received LSG in the LSG group and 16 normal weight patients with gastric cancer who received GCS as the control group. Functional magnetic resonance imaging was employed to investigate the differences and similarity of surgery’s impact on resting-state brain activity and functional connectivity (RSFC) between LSG and GCS groups. Both LSG and GCS groups showed increased activities in the posterior cingulate cortex (PCC) and supplementary motor area (SMA) as well as the decreased RSFC of PCC- dorsomedial prefrontal cortex and SMA- dorsolateral prefrontal cortex. There were decreased resting-state activity of hippocampus and putamen in LSG group and increases in GCS group. In LSG group, resting-state activities of hippocampus and putamen were correlated with craving for high-caloric food and body mass index after surgery, respectively. These findings suggest LSG induced alterations in resting-state activity and RSFC of hippocampus and putamen specifically regulate the obese state and overeating behaviors in obese patients.
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Affiliation(s)
- Yong Gu
- Department of Gastroenterology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Digestive System Department, Shaanxi Provincial Crops Hospital, Chinese People's Armed Police Forces, Xi'an, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Kaichun Wu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, China
| | - Yan Yang
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, China
| | - Junjun She
- Department of Gastroenterology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Shuixiang He
- Department of Gastroenterology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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30
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Donofry SD, Stillman CM, Erickson KI. A review of the relationship between eating behavior, obesity and functional brain network organization. Soc Cogn Affect Neurosci 2020; 15:1157-1181. [PMID: 31680149 PMCID: PMC7657447 DOI: 10.1093/scan/nsz085] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/24/2019] [Accepted: 10/02/2019] [Indexed: 12/21/2022] Open
Abstract
Obesity is a major public health issue affecting nearly 40% of American adults and is associated with increased mortality and elevated risk for a number of physical and psychological illnesses. Obesity is associated with impairments in executive functions such as decision making and inhibitory control, as well as in reward valuation, which is thought to contribute to difficulty sustaining healthy lifestyle behaviors, including adhering to a healthy diet. Growing evidence indicates that these impairments are accompanied by disruptions in functional brain networks, particularly those that support self-regulation, reward valuation, self-directed thinking and homeostatic control. Weight-related differences in task-evoked and resting-state connectivity have most frequently been noted in the executive control network (ECN), salience network (SN) and default mode network (DMN), with obesity generally being associated with weakened connectivity in the ECN and enhanced connectivity in the SN and DMN. Similar disruptions have been observed in the much smaller literature examining the relationship between diet and disordered eating behaviors on functional network organization. The purpose of this narrative review was to summarize what is currently known about how obesity and eating behavior relate to functional brain networks, describe common patterns and provide recommendations for future research based on the identified gaps in knowledge.
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Affiliation(s)
- Shannon D Donofry
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15260, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Chelsea M Stillman
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
- The Center for the Neural Basis of Cognition, Pittsburgh, 15213, PA, USA
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, Western Australia, 6150, Australia
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31
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Hu Y, Ji G, Li G, Manza P, Zhang W, Wang J, Lv G, He Y, Zhang Z, Yuan K, von Deneen KM, Chen A, Cui G, Wang H, Wiers CE, Volkow ND, Nie Y, Zhang Y, Wang GJ. Brain Connectivity, and Hormonal and Behavioral Correlates of Sustained Weight Loss in Obese Patients after Laparoscopic Sleeve Gastrectomy. Cereb Cortex 2020; 31:1284-1295. [PMID: 33037819 DOI: 10.1093/cercor/bhaa294] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/01/2020] [Accepted: 09/01/2020] [Indexed: 12/12/2022] Open
Abstract
The biological mediators that support cognitive-control and long-term weight-loss after laparoscopic sleeve gastrectomy (LSG) remain unclear. We measured peripheral appetitive hormones and brain functional-connectivity (FC) using magnetic-resonance-imaging with food cue-reactivity task in 25 obese participants at pre, 1 month, and 6 month after LSG, and compared with 30 normal weight controls. We also used diffusion-tensor-imaging to explore whether LSG increases brain structural-connectivity (SC) of regions involved in food cue-reactivity. LSG significantly decreased BMI, craving for high-calorie food cues, ghrelin, insulin, and leptin levels, and increased self-reported cognitive-control of eating behavior. LSG increased FC between the right dorsolateral prefrontal cortex (DLPFC) and the pregenual anterior cingulate cortex (pgACC) and increased SC between DLPFC and ACC at 1 month and 6 month after LSG. Reduction in BMI correlated negatively with increased FC of right DLPFC-pgACC at 1 month and with increased SC of DLPFC-ACC at 1 month and 6 month after LSG. Reduction in craving for high-calorie food cues correlated negatively with increased FC of DLPFC-pgACC at 6 month after LSG. Additionally, SC of DLPFC-ACC mediated the relationship between lower ghrelin levels and greater cognitive control. These findings provide evidence that LSG improved functional and structural connectivity in prefrontal regions, which contribute to enhanced cognitive-control and sustained weight-loss following surgery.
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Affiliation(s)
- Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Ganggang Lv
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang He
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Zhida Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Kai Yuan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Antao Chen
- Department of Psychology, Southwest University, Chongqing 400715, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Corinde E Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
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32
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Dong TS, Gupta A, Jacobs JP, Lagishetty V, Gallagher E, Bhatt RR, Vora P, Osadchiy V, Stains J, Balioukova A, Chen Y, Dutson E, Mayer EA, Sanmiguel C. Improvement in Uncontrolled Eating Behavior after Laparoscopic Sleeve Gastrectomy Is Associated with Alterations in the Brain-Gut-Microbiome Axis in Obese Women. Nutrients 2020; 12:E2924. [PMID: 32987837 PMCID: PMC7599899 DOI: 10.3390/nu12102924] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/17/2020] [Accepted: 09/21/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Bariatric surgery is proven to change eating behavior and cause sustained weight loss, yet the exact mechanisms underlying these changes are not clearly understood. We explore this in a novel way by examining how bariatric surgery affects the brain-gut-microbiome (BGM) axis. METHODS Patient demographics, serum, stool, eating behavior questionnaires, and brain magnetic resonance imaging (MRI) were collected before and 6 months after laparoscopic sleeve gastrectomy (LSG). Differences in eating behavior and brain morphology and resting-state functional connectivity in core reward regions were correlated with serum metabolite and 16S microbiome data. RESULTS LSG resulted in significant weight loss and improvement in maladaptive eating behaviors as measured by the Yale Food Addiction Scale (YFAS). Brain imaging showed a significant increase in brain volume of the putamen (p.adj < 0.05) and amygdala (p.adj < 0.05) after surgery. Resting-state connectivity between the precuneus and the putamen was significantly reduced after LSG (p.adj = 0.046). This change was associated with YFAS symptom count. Bacteroides, Ruminococcus, and Holdemanella were associated with reduced connectivity between these areas. Metabolomic profiles showed a positive correlation between this brain connection and a phosphatidylcholine metabolite. CONCLUSION Bariatric surgery modulates brain networks that affect eating behavior, potentially through effects on the gut microbiota and its metabolites.
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Affiliation(s)
- Tien S. Dong
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90025, USA
| | - Arpana Gupta
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
| | - Jonathan P. Jacobs
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90025, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
| | - Venu Lagishetty
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90025, USA
| | - Elizabeth Gallagher
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
| | - Ravi R. Bhatt
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine at USC, University of Southern California, Los Angeles, CA 90033, USA
| | - Priten Vora
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
| | - Vadim Osadchiy
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Jean Stains
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
| | - Anna Balioukova
- UCLA Center for Obesity and METabolic Health (COMET), Los Angeles, CA 90024, USA;
| | - Yijun Chen
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
- UCLA Center for Obesity and METabolic Health (COMET), Los Angeles, CA 90024, USA;
| | - Erik Dutson
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
- UCLA Center for Obesity and METabolic Health (COMET), Los Angeles, CA 90024, USA;
| | - Emeran A. Mayer
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
| | - Claudia Sanmiguel
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; (T.S.D.); (A.G.); (J.P.J.); (V.L.); (E.A.M.)
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90025, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA 90095, USA; (E.G.); (R.R.B.); (P.V.); (V.O.); (J.S.)
- David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (Y.C.); (E.D.)
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Gold MS, Baron D, Bowirrat A, Blum K. Neurological correlates of brain reward circuitry linked to opioid use disorder (OUD): Do homo sapiens acquire or have a reward deficiency syndrome? J Neurol Sci 2020; 418:117137. [PMID: 32957037 PMCID: PMC7490287 DOI: 10.1016/j.jns.2020.117137] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/19/2020] [Accepted: 09/08/2020] [Indexed: 12/14/2022]
Abstract
The extant literature confirms that an array of polymorphic genes related to- neurotransmitters and second messengers govern the net release of dopamine in the Nucleus Accumbens (NAc) in the mesolimbic region of the brain. They are linked predominantly to motivation, anti-stress, incentive salience (wanting), and wellbeing. Notably, in 2000 the Nobel Prize was awarded to Carlsson, Greengard, and Kandel for their work on the molecular and cellular function of dopaminergic activity at neurons. This historical psychopharmacological work involved neurotransmission of serotonin, endorphins, glutamate, and dopamine, and the seminal work of Blum, Gold, Volkow, Nestler, and others related to neurotransmitter function and related behaviors. Currently, Americans are facing their second and worst opioid epidemic, prescribed opioids, and easy access drive this epidemic of overdoses, and opioid use disorders (OUDs). Presently the clinical consensus is to treat OUD, as if it were an opioid deficiency syndrome, with long-term to life-long opioid substitution therapy. Opioid agonist administration is seen as necessary to replace missing opioids, treat OUD, and prevent overdoses, like insulin is used to treat diabetes. Treatment of OUD and addiction, in general, is similar to the endocrinopathy conceptualization in that it views opioid agonist MATs as an essential core to therapy. Is this approach logical? Other than as harm reduction, is using opioids to treat OUD therapeutic or harmful in the long term? This historical Trieste provides a molecular framework to understand the current underpinnings of endorphinergic/dopaminergic mechanisms related to opioid deficiency syndrome and generalized reward processing depletion. WC 249.
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Affiliation(s)
- Mark S Gold
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
| | - David Baron
- Graduate School of Biomedical Sciences, Western University Health Sciences, Pomona, CA, United States
| | - Abdalla Bowirrat
- Department of Neuroscience and Genetics, Interdisciplinary Center Herzliya, Israel
| | - Kenneth Blum
- Graduate School of Biomedical Sciences, Western University Health Sciences, Pomona, CA, United States
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Ren Y, Xu M, von Deneen KM, He Y, Li G, Zheng Y, Zhang W, Li X, Han Y, Cui G, Ji G, Nie Y, Zhang Y. Acute and long-term effects of electroacupuncture alter frontal and insular cortex activity and functional connectivity during resting state. Psychiatry Res Neuroimaging 2020; 298:111047. [PMID: 32114310 DOI: 10.1016/j.pscychresns.2020.111047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 12/17/2022]
Abstract
Electroacupuncture (EA) is a safe method for treating obesity; however, its underlying neural mechanisms remain unclear. We employed resting-state-functional-magnetic-resonance-imaging (RS-fMRI) and amplitude-of-low-frequency-fluctuation (ALFF) to investigate acute/long-term effects of EA on brain activity and resting-state-functional-connectivity (RSFC) in overweight/obesity subjects who received real/Sham stimulation. For acute effects, 26 and 19 overweight/obesity subjects were included in EA and Sham groups respectively. There were significant time effects on ALFF in the right insula (INS) and left dorsolateral-prefrontal-cortex (DLPFC) due to decreases/increases in INS/DLPFC in both groups. There were weaker positive RSFC between INS and supplementary-motor-area (SMA)/right DLPFC and weaker negative RSFC between INS and precuneus (PCUN); stronger negative RSFC between DLPFC and dorsomedial-prefrontal-cortex (DMPFC) in both groups. For long-term study, body-mass-index (BMI) had significant reduction in EA (n = 17) and Sham (15) groups; EA had higher BMI reduction than in Sham. There were significant time effects on ALFF in right ventrolateral-prefrontal-cortex (VLPFC) due to significant increases in EA group, and stronger positive RSFC between VLPFC and orbitofrontal-cortex and negative RSFC between VLPFC and left thalamus (THA) in both groups after long-term treatment. These findings suggest that changes in resting-activity and RSFC implicated in inhibitory-control, gastric-motility and satiety-control are associated with EA-induced weight-loss.
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Affiliation(s)
- Yuanyuan Ren
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China.
| | - Mingzhu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Yang He
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang Zheng
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Wenjing Zhang
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Xiaoping Li
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
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35
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Laparoscopic sleeve gastrectomy improves brain connectivity in obese patients. J Neurol 2020; 267:1931-1940. [DOI: 10.1007/s00415-020-09780-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/25/2020] [Accepted: 02/27/2020] [Indexed: 12/16/2022]
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Nota MH, Vreeken D, Wiesmann M, Aarts EO, Hazebroek EJ, Kiliaan AJ. Obesity affects brain structure and function- rescue by bariatric surgery? Neurosci Biobehav Rev 2020; 108:646-657. [DOI: 10.1016/j.neubiorev.2019.11.025] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 10/28/2019] [Accepted: 11/29/2019] [Indexed: 02/07/2023]
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Yang X, Casement M, Yokum S, Stice E. Negative affect amplifies the relation between appetitive-food-related neural responses and weight gain over three-year follow-up among adolescents. NEUROIMAGE-CLINICAL 2019; 24:102067. [PMID: 31795036 PMCID: PMC6861567 DOI: 10.1016/j.nicl.2019.102067] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 09/24/2019] [Accepted: 11/03/2019] [Indexed: 11/26/2022]
Abstract
Interaction of negative affect and hippocampal food-image response predicts BMI gain. Interaction of negative affect, vermis and precuneus food response predicts BMI gain. Interaction of stress and middle occipital gyrus milkshake response predicts BMI gain. Weight gain associated with restrained eating and eating-disorder related behavior.
Obesity is a major public health concern that is associated with disruption in food reward-related brain function. This study examined if negative affect and stressful events enhance the relation between the food reward-related neural response and future weight gain. Initially healthy weight adolescents (N = 135) completed fMRI paradigms in which they tasted milkshakes and viewed palatable food images, and reported on negative affect and stressful events at baseline; BMI was measured annually over 3-year follow-up. Whole-brain analyses revealed that among participants with higher negative affect, weight gain over 3-year follow-up was predicted by elevated response to appetitive versus unappetitive food images in the left hippocampus, and elevated response in the vermis and the bilateral precuneus to tastes of milkshake versus tasteless solution. Among participants who experienced more stressful events, elevated right middle occipital gyrus response to milkshakes predicted future weight gain. Profiling analyses suggested that participants with higher negative affect or more stressful events who later gained weight reported engaging in more restrained eating and eating disorder-related behaviors. Results suggest that negative affect or stressful events may amplify the relation of neural response to food and the risk for future weight gain.
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Affiliation(s)
- X Yang
- University of Oregon, 1451 Onyx St, Eugene, OR 97403, United States.
| | - M Casement
- University of Oregon, 1451 Onyx St, Eugene, OR 97403, United States
| | - S Yokum
- Oregon Research Institute, 1776 Millrace Drive, Eugene, OR 97403, United States
| | - E Stice
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA 94305, United States.
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Wang Y, Ji G, Hu Y, Li G, Ding Y, Hu C, Liu L, Zhang W, von Deneen KM, Han Y, Cui G, Wang H, Manza P, Volkow ND, Nie Y, Wang GJ, Zhang Y. Laparoscopic sleeve gastrectomy induces sustained changes in gray and white matter brain volumes and resting functional connectivity in obese patients. Surg Obes Relat Dis 2019; 16:1-9. [PMID: 31679986 DOI: 10.1016/j.soard.2019.09.074] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 08/11/2019] [Accepted: 09/21/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND Obesity is associated with decreased brain gray- (GM) and white-matter (WM) volumes in regions. Laparoscopic sleeve gastrectomy (LSG) is an effective bariatric surgery associated with neuroplastic changes in patients with obesity at 1 month postLSG. OBJECTIVE To investigate whether LSG can induce sustained neuroplastic recovery of brain structural abnormalities, and whether structural changes are accompanied by functional alterations. SETTING University hospital, longitudinal study. METHODS Structural magnetic resonance imaging and voxel-based morphometry analysis were employed to assess GM/WM volumes in 30 obese participants at preLSG and 1 and 3 months postLSG. One-way analysis of variance modeled time effects on GM/WM volumes, and then alterations in resting-state functional connectivity (RSFC) were assessed. RESULTS Significant time effects on GM volumes were in caudate (F = 11.20), insula (INS; F = 10.11), posterior cingulate cortex (PCC; F = 13.32), and inferior frontal gyrus (F = 12.18), and on WM volumes in anterior cingulate cortex (F = 15.70), PCC (F = 15.56), and parahippocampus (F = 17.96, PFDR < .05). Post hoc tests showed significantly increased GM volumes in caudate (mean change ± SEM .018 ± .005 and P = .001, .031 ± .007 and P < .001), INS (.027 ± .008 and P = .003, .043 ± .009 and P < .001), and PCC (.008 ± .004 and P = .042, .026 ± .006 and P < .001), and increased WM volumes in anterior cingulate cortex (.029 ± .006 and P < .001, .041 ± .008 and P < .001), PCC (.017 ± .004 and P < .001, .032 ± .006 and P < .001), and parahippocampus (.031 ± .008 and P =.001, .075 ± .013 and P < .001) at 1 and 3 months postLSG compared with preLSG. Significant increases in GM volumes were in caudate (.013 ± .006 and P = .036), PCC (.019 ± .006 and P = .006), and inferior frontal gyrus (.019 ± .005 and P = .001), and in WM volumes in anterior cingulate cortex (.012 ± .005 and P = .028), PCC (.014 ± .006 and P = .017), and parahippocampus (.044 ± .014 and P = .003) at 3 relative to 1 month postLSG. GM volumes in INS and PCC showed a positive correlation at 1 (r = .57, P = .001) and 3 months postLSG (r = .55, P = .001). GM volume in INS and PCC were positively correlated with RSFC of INS-PCC (r = .40 and P = .03, r = .55 and P = .001) and PCC-INS (r = .37 and P = .046, r = .57 and P < .001) at 1 month postLSG. GM volume in INS was also positively correlated with RSFC of INS-PCC (r = .44, P = .014) and PCC-INS (r = .38, P = .037) at 3 months postLSG. CONCLUSION LSG induces sustained structural brain changes, which might mediate long-term benefits of bariatric surgery in weight reduction. Associations between regional GM volume and RSFC suggest that LSG-induced structural changes contribute to RSFC changes.
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Affiliation(s)
- Yuanyuan Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China.
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Yueyan Ding
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Chunxin Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Lei Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Xi'an, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China.
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Osadchiy V, Mayer EA, Bhatt R, Labus JS, Gao L, Kilpatrick LA, Liu C, Tillisch K, Naliboff B, Chang L, Gupta A. History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity. Obes Sci Pract 2019; 5:416-436. [PMID: 31687167 PMCID: PMC6819979 DOI: 10.1002/osp4.362] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Neuroimaging studies have identified obesity-related differences in the brain's resting state activity. An imbalance between homeostatic and reward aspects of ingestive behaviour may contribute to obesity and food addiction. The interactions between early life adversity (ELA), the reward network and food addiction were investigated to identify obesity and sex-related differences, which may drive obesity and food addiction. METHODS Functional resting state magnetic resonance imaging was acquired in 186 participants (high body mass index [BMI]: ≥25: 53 women and 54 men; normal BMI: 18.50-24.99: 49 women and 30 men). Participants completed questionnaires to assess ELA (Early Traumatic Inventory) and food addiction (Yale Food Addiction Scale). A tripartite network analysis based on graph theory was used to investigate the interaction between ELA, brain connectivity and food addiction. Interactions were determined by computing Spearman rank correlations, thresholded at q < 0.05 corrected for multiple comparisons. RESULTS Participants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction. Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions. Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction. CONCLUSIONS The findings suggest that ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life. These alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.
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Affiliation(s)
- V. Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - E. A. Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Ahmanson‐Lovelace Brain Mapping CenterUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - R. Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - J. S. Labus
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Gao
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. A. Kilpatrick
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - C. Liu
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - K. Tillisch
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - B. Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Chang
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - A. Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
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Li G, Ji G, Hu Y, Xu M, Jin Q, Liu L, von Deneen KM, Zhao J, Chen A, Cui G, Wang H, Zhao Q, Wu K, Shokri-Kojori E, Tomasi D, Volkow ND, Nie Y, Zhang Y, Wang GJ. Bariatric surgery in obese patients reduced resting connectivity of brain regions involved with self-referential processing. Hum Brain Mapp 2018; 39:4755-4765. [PMID: 30062852 DOI: 10.1002/hbm.24320] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 07/03/2018] [Accepted: 07/08/2018] [Indexed: 01/14/2023] Open
Abstract
Obese individuals exhibit brain alterations of resting-state functional connectivity (RSFC) integrity of resting-state networks (RSNs) related to food intake. Bariatric surgery is currently the most effective treatment for combating morbid obesity. How bariatric surgery influences neurocircuitry is mostly unknown. Functional connectivity density (FCD) mapping was employed to calculate local (lFCD)/global (gFCD) voxelwise connectivity metrics in 22 obese participants who underwent functional magnetic resonance imaging before and 1 month after sleeve gastrectomy (SG), and in 19 obese controls (Ctr) without surgery but tested twice (baseline and 1-month later). Two factor (group, time) repeated measures ANOVA was used to assess main and interaction effects in lFCD/gFCD; regions of interest were identified for subsequent seed to voxel connectivity analyses to assess resting-state functional connectivity and to examine association with weight loss. Bariatric surgery significantly decreased lFCD in VMPFC, posterior cingulate cortex (PCC)/precuneus, and dorsal anterior cingulate cortex (dACC)/dorsomedial prefrontal cortex (DMPFC) and decreased gFCD in VMPFC, right dorsolateral prefrontal cortex (DLPFC) and right insula (pFWE < .05). lFCD decreased in VMPFC and PCC/precuneus correlated with reduction in BMI after surgery. Seed to voxel connectivity analyses showed the VMPFC had stronger connectivity with left DLPFC and weaker connectivity with hippocampus/parahippocampus, and PCC/precuneus had stronger connectivity with right caudate and left DLPFC after surgery. Bariatric surgery significantly decreased FCD in regions involved in self-referential processing (VMPFC, DMPFC, dACC, and precuneus), and interoception (insula), and changes in VMPFC/precuneus were associated with reduction in BMI suggesting a role in improving control of eating behaviors following surgery.
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Affiliation(s)
- Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Mingzhu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Qingchao Jin
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Li Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jizheng Zhao
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.,College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China
| | - Antao Chen
- Department of Psychology, Southwest University, Chongqing, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Qingchuan Zhao
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Kaichun Wu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
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