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Bi Y, Liang L, Qiao K, Luo J, Liu X, Sun B, Zhang Y. A comprehensive review of plant-derived salt substitutes: Classification, mechanism, and application. Food Res Int 2024; 194:114880. [PMID: 39232518 DOI: 10.1016/j.foodres.2024.114880] [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: 04/25/2024] [Revised: 07/15/2024] [Accepted: 08/05/2024] [Indexed: 09/06/2024]
Abstract
The diseases caused by excessive sodium intake derived from NaCl consumption have attracted widespread attention worldwide, and many researchers are committed to finding suitable ways to reduce sodium intake during the dietary process. Salt substitute is considered an effective way to reduce sodium intake by replacing all/part of NaCl in food without reducing the saltiness while minimizing the impact on the taste and acceptability of the food. Plant-derived natural ingredients are generally considered safe and reliable, and extensive research has shown that certain plant extracts or specific components are effective salt substitutes, which can also give food additional health benefits. However, these plant-derived salt substitutes (PSS) have not been systematically recognized by the public and have not been well adopted in the food industry. Therefore, a comprehensive review of PSS, including its material basis, flavor characteristics, and taste mechanism is helpful for a deeper understanding of PSS, accelerating its research and development, and promoting its application.
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Affiliation(s)
- Yongzhao Bi
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Li Liang
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Kaina Qiao
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Jin Luo
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Xialei Liu
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Baoguo Sun
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
| | - Yuyu Zhang
- Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China.
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2
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Lucas A, Jaskir M, Sinha N, Pattnaik A, Mouchtaris S, Josyula M, Petillo N, Roth RW, Dikecligil GN, Bonilha L, Gottfried J, Gleichgerrcht E, Das S, Stein JM, Gugger JJ, Davis KA. Connectivity of the Piriform Cortex and its Implications in Temporal Lobe Epilepsy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.21.24310778. [PMID: 39108505 PMCID: PMC11302608 DOI: 10.1101/2024.07.21.24310778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Background The piriform cortex has been implicated in the initiation, spread and termination of epileptic seizures. This understanding has extended to surgical management of epilepsy, where it has been shown that resection or ablation of the piriform cortex can result in better outcomes. How and why the piriform cortex may play such a crucial role in seizure networks is not well understood. To answer these questions, we investigated the functional and structural connectivity of the piriform cortex in both healthy controls and temporal lobe epilepsy (TLE) patients. Methods We studied a retrospective cohort of 55 drug-resistant unilateral TLE patients and 26 healthy controls who received structural and functional neuroimaging. Using seed-to-voxel connectivity we compared the normative whole-brain connectivity of the piriform to that of the hippocampus, a region commonly involved in epilepsy, to understand the differential contribution of the piriform to the epileptogenic network. We subsequently measured the inter-piriform coupling (IPC) to quantify similarities in the inter-hemispheric cortical functional connectivity profile between the two piriform cortices. We related differences in IPC in TLE back to aberrations in normative piriform connectivity, whole brain functional properties, and structural connectivity. Results We find that relative to the hippocampus, the piriform is functionally connected to the anterior insula and the rest of the salience ventral attention network (SAN). We also find that low IPC is a sensitive metric of poor surgical outcome (sensitivity: 85.71%, 95% CI: [19.12%, 99.64%]); and differences in IPC within TLE were related to disconnectivity and hyperconnectivity to the anterior insula and the SAN. More globally, we find that low IPC is associated with whole-brain functional and structural segregation, marked by decreased functional small-worldness and fractional anisotropy. Conclusions Our study presents novel insights into the functional and structural neural network alterations associated with this structure, laying the foundation for future work to carefully consider its connectivity during the presurgical management of epilepsy.
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Affiliation(s)
- Alfredo Lucas
- Perelman School of Medicine, University of Pennsylvania
- Department of Bioengineering, University of Pennsylvania
| | - Marc Jaskir
- Neuroscience Graduate Group, University of Pennsylvania
| | | | - Akash Pattnaik
- Department of Bioengineering, University of Pennsylvania
| | | | | | - Nina Petillo
- Department of Neurology, University of Pennsylvania
| | | | | | | | | | | | - Sandhitsu Das
- Department of Neurology, University of South Carolina
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3
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Lee SA, Lee JJ, Han J, Choi M, Wager TD, Woo CW. Brain representations of affective valence and intensity in sustained pleasure and pain. Proc Natl Acad Sci U S A 2024; 121:e2310433121. [PMID: 38857402 PMCID: PMC11194486 DOI: 10.1073/pnas.2310433121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 04/18/2024] [Indexed: 06/12/2024] Open
Abstract
Pleasure and pain are two fundamental, intertwined aspects of human emotions. Pleasurable sensations can reduce subjective feelings of pain and vice versa, and we often perceive the termination of pain as pleasant and the absence of pleasure as unpleasant. This implies the existence of brain systems that integrate them into modality-general representations of affective experiences. Here, we examined representations of affective valence and intensity in an functional MRI (fMRI) study (n = 58) of sustained pleasure and pain. We found that the distinct subpopulations of voxels within the ventromedial and lateral prefrontal cortices, the orbitofrontal cortex, the anterior insula, and the amygdala were involved in decoding affective valence versus intensity. Affective valence and intensity predictive models showed significant decoding performance in an independent test dataset (n = 62). These models were differentially connected to distinct large-scale brain networks-the intensity model to the ventral attention network and the valence model to the limbic and default mode networks. Overall, this study identified the brain representations of affective valence and intensity across pleasure and pain, promoting a systems-level understanding of human affective experiences.
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Affiliation(s)
- Soo Ahn Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon16419, Republic of Korea
| | - Jae-Joong Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, Republic of Korea
| | - Jisoo Han
- Korea Brain Research Institute, Daegu41062, Republic of Korea
| | - Myunghwan Choi
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, Republic of Korea
- School of Biological Sciences, Seoul National University, Seoul08826, Republic of Korea
| | - Tor D. Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH03755
| | - Choong-Wan Woo
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon16419, Republic of Korea
- Life-inspired Neural Network for Prediction and Optimization Research Group, Suwon16419, Republic of Korea
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Xiao J, Adkinson JA, Allawala AB, Banks G, Bartoli E, Fan X, Mocchi M, Pascuzzi B, Pulapaka S, Franch MC, Mathew SJ, Mathura RK, Myers J, Pirtle V, Provenza NR, Shofty B, Watrous AJ, Pitkow X, Goodman WK, Pouratian N, Sheth S, Bijanki KR, Hayden BY. Insula uses overlapping codes for emotion in self and others. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.596966. [PMID: 38895233 PMCID: PMC11185604 DOI: 10.1101/2024.06.04.596966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
In daily life, we must recognize others' emotions so we can respond appropriately. This ability may rely, at least in part, on neural responses similar to those associated with our own emotions. We hypothesized that the insula, a cortical region near the junction of the temporal, parietal, and frontal lobes, may play a key role in this process. We recorded local field potential (LFP) activity in human neurosurgical patients performing two tasks, one focused on identifying their own emotional response and one on identifying facial emotional responses in others. We found matching patterns of gamma- and high-gamma band activity for the two tasks in the insula. Three other regions (MTL, ACC, and OFC) clearly encoded both self- and other-emotions, but used orthogonal activity patterns to do so. These results support the hypothesis that the insula plays a particularly important role in mediating between experienced vs. observed emotions.
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Affiliation(s)
- Jiayang Xiao
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Joshua A. Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | | | - Garrett Banks
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Eleonora Bartoli
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Xiaoxu Fan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Madaline Mocchi
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Bailey Pascuzzi
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Suhruthaa Pulapaka
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Melissa C. Franch
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Sanjay J. Mathew
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, 77030
| | - Raissa K. Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - John Myers
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Ben Shofty
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Andrew J. Watrous
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Xaq Pitkow
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Wayne K. Goodman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, 77030
| | - Nader Pouratian
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, 75390
| | - Sameer Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Kelly R. Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
| | - Benjamin Y. Hayden
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030
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Zhu H, Tao Y, Wang S, Zhu X, Lin K, Zheng N, Chen LM, Xu F, Wu R. fMRI, LFP, and anatomical evidence for hierarchical nociceptive routing pathway between somatosensory and insular cortices. Neuroimage 2024; 289:120549. [PMID: 38382864 DOI: 10.1016/j.neuroimage.2024.120549] [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: 12/15/2023] [Revised: 02/06/2024] [Accepted: 02/19/2024] [Indexed: 02/23/2024] Open
Abstract
The directional organization of multiple nociceptive regions, particularly within obscure operculoinsular areas, underlying multidimensional pain processing remains elusive. This study aims to establish the fundamental organization between somatosensory and insular cortices in routing nociceptive information. By employing an integrated multimodal approach of high-field fMRI, intracranial electrophysiology, and transsynaptic viral tracing in rats, we observed a hierarchically organized connection of S1/S2 → posterior insula → anterior insula in routing nociceptive information. The directional nociceptive pathway determined by early fMRI responses was consistent with that examined by early evoked LFP, intrinsic effective connectivity, and anatomical projection, suggesting fMRI could provide a valuable facility to discern directional neural circuits in animals and humans non-invasively. Moreover, our knowledge of the nociceptive hierarchical organization of somatosensory and insular cortices and the interface role of the posterior insula may have implications for the development of targeted pain therapies.
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Affiliation(s)
- Hongyan Zhu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Yan Tao
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Siqi Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Xutao Zhu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Kunzhang Lin
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Ning Zheng
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Li Min Chen
- Vanderbilt University Institute of Imaging Science and Department of Psychology, Vanderbilt University, Nashville, TN 37232, USA.
| | - Fuqiang Xu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China.
| | - Ruiqi Wu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 200031, China.
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6
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Liu J, Sun SJ, Lu Y, Ping X, Zhang W, Pei L. Taste dysfunction as a predictor of depression in schizophrenia: A systematic review and meta-analysis. PLoS One 2024; 19:e0300935. [PMID: 38517844 PMCID: PMC10959346 DOI: 10.1371/journal.pone.0300935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 03/06/2024] [Indexed: 03/24/2024] Open
Abstract
OBJECTIVE This study aims to investigate the relationship between taste dysfunction and depression among patients with schizophrenia, to achieve early detection of depression in clinical practice. METHODS Following PRISMA guidance, a comprehensive literature search was conducted globally, covering papers published from 1961 to June 2023. A total of 17 manuscripts were selected through meta-analysis and sensitivity analysis after examining available materials from seven databases to determine the correlation between depression and taste dysfunction. RESULTS The comparison of the 17 selected manuscripts revealed that individuals with gustatory dysfunction may be more likely to experience depressive symptoms (SMD, 0.51, 95% CI, 0.08 to 0.93, p = 0.02). Depression is associated with taste dysfunction in certain aspects, as indicated by the pleasantness ratings of sucrose solutions (SMD, -0.53, 95% confidence interval [CI] -1.11 to 0.05, p = 0.08), gustatory identification ability (SMD, 0.96, 95% CI, 0.03 to 1.89, p = 0.04), and the perception threshold of sweet taste (MD, 0.80, 95% CI, 0.79 to 0.81, p < 0.00001). CONCLUSIONS Due to variations in the methods, designs, and selection criteria employed in the included studies, it is necessary to establish a feasible framework. Future research using detailed and targeted approaches can provide clearer and more unified conclusions on the relationship between taste dysfunction and depression. Moreover, further high-quality research is needed to obtain clearer conclusions and explore the potential of taste dysfunction as an effective tool for early screening of depression. TRIAL REGISTRATION This review has been registered in the PROSPERO on April 2022 with the identifier CRD42023400172.
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Affiliation(s)
- Jia Liu
- Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China
- Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China
| | - Shu-Jie Sun
- Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China
| | - Ye Lu
- Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China
| | - Xin Ping
- Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China
- Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China
| | - Wan Zhang
- Renmin University of China, Beijing, China
| | - Lin Pei
- Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China
- Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China
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7
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Ha OR, Lim SL. The role of emotion in eating behavior and decisions. Front Psychol 2023; 14:1265074. [PMID: 38130967 PMCID: PMC10733500 DOI: 10.3389/fpsyg.2023.1265074] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
The present paper aims to provide the latest perspectives and future directions on the association between emotions and eating behavior. We discussed individual differences in the impact of negative emotions on eating, emotional eating as disinhibited eating decisions with heightened reward values of and sensitivity to palatable foods in response to negative emotions and social isolation, in addition to emotional eating as maladaptive coping strategies under negative emotion and stress, hedonic (pleasure-oriented) eating decisions mediated by the brain reward system, and self-controlled (health-oriented) eating decisions mediated by the brain control system. Perspectives on future directions were addressed, including the development of early eating phenotypes in infancy, shared neural mechanisms mediated by the ventromedial prefrontal cortex and the dorsolateral prefrontal cortex in emotion and eating decision regulation, possible roles of interoception incorporating hunger and satiety signals, gut microbiome, the insula and the orbitofrontal cortex, and emotional processing capacities in hedonic eating and weight gain.
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Affiliation(s)
| | - Seung-Lark Lim
- Department of Psychology, University of Missouri – Kansas City, Kansas City, MO, United States
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8
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Sypré L, Durand JB, Nelissen K. Functional characterization of macaque insula using task-based and resting-state fMRI. Neuroimage 2023; 276:120217. [PMID: 37271304 DOI: 10.1016/j.neuroimage.2023.120217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/13/2023] [Accepted: 06/01/2023] [Indexed: 06/06/2023] Open
Abstract
Neurophysiological investigations over the past decades have demonstrated the involvement of the primate insula in a wide array of sensory, cognitive, affective and regulatory functions, yet the complex functional organization of the insula remains unclear. Here we examined to what extent non-invasive task-based and resting-state fMRI provides support for functional specialization and integration of sensory and motor information in the macaque insula. Task-based fMRI experiments suggested a functional specialization related to processing of ingestive/taste/distaste information in anterior insula, grasping-related sensorimotor responses in middle insula and vestibular information in posterior insula. Visual stimuli depicting social information involving conspecific`s lip-smacking gestures yielded responses in middle and anterior portions of dorsal and ventral insula, overlapping partially with the sensorimotor and ingestive/taste/distaste fields. Functional specialization/integration of the insula was further corroborated by seed-based whole brain resting-state analyses, showing distinct functional connectivity gradients across the anterio-posterior extent of both dorsal and ventral insula. Posterior insula showed functional correlations in particular with vestibular/optic flow network regions, mid-dorsal insula with vestibular/optic flow as well as parieto-frontal regions of the sensorimotor grasping network, mid-ventral insula with social/affiliative network regions in temporal, cingulate and prefrontal cortices and anterior insula with taste and mouth motor networks including premotor and frontal opercular regions.
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Affiliation(s)
- Lotte Sypré
- Laboratory for Neuro- & Psychophysiology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | | | - Koen Nelissen
- Laboratory for Neuro- & Psychophysiology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium.
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9
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Rolls ET. Emotion, motivation, decision-making, the orbitofrontal cortex, anterior cingulate cortex, and the amygdala. Brain Struct Funct 2023; 228:1201-1257. [PMID: 37178232 PMCID: PMC10250292 DOI: 10.1007/s00429-023-02644-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/12/2023] [Indexed: 05/15/2023]
Abstract
The orbitofrontal cortex and amygdala are involved in emotion and in motivation, but the relationship between these functions performed by these brain structures is not clear. To address this, a unified theory of emotion and motivation is described in which motivational states are states in which instrumental goal-directed actions are performed to obtain rewards or avoid punishers, and emotional states are states that are elicited when the reward or punisher is or is not received. This greatly simplifies our understanding of emotion and motivation, for the same set of genes and associated brain systems can define the primary or unlearned rewards and punishers such as sweet taste or pain. Recent evidence on the connectivity of human brain systems involved in emotion and motivation indicates that the orbitofrontal cortex is involved in reward value and experienced emotion with outputs to cortical regions including those involved in language, and is a key brain region involved in depression and the associated changes in motivation. The amygdala has weak effective connectivity back to the cortex in humans, and is implicated in brainstem-mediated responses to stimuli such as freezing and autonomic activity, rather than in declarative emotion. The anterior cingulate cortex is involved in learning actions to obtain rewards, and with the orbitofrontal cortex and ventromedial prefrontal cortex in providing the goals for navigation and in reward-related effects on memory consolidation mediated partly via the cholinergic system.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK.
- Department of Computer Science, University of Warwick, Coventry, UK.
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10
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Kim J, Namgung E, Lee S, Ha E, Hong H, Song Y, Lee H, Oh S, Lyoo IK, Yoon S, Jeong H. Disturbed insular functional connectivity and its clinical implication in patients with complex regional pain syndrome. Neuroimage Clin 2023; 38:103440. [PMID: 37224606 PMCID: PMC10220260 DOI: 10.1016/j.nicl.2023.103440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 03/21/2023] [Accepted: 05/15/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Complex regional pain syndrome (CRPS) is characterized by continued amplification of pain intensity. Given the pivotal roles of the insula in the perception and interpretation of pain, we examined insular functional connectivity and its associations with clinical characteristics in patients with CRPS. METHODS Twenty-one patients with CRPS and 49 healthy controls underwent resting-state functional magnetic resonance imaging. The seed-to-seed functional connectivity analysis was performed for the bilateral insulae and cognitive control regions including the dorsal anterior cingulate cortex (dACC) and bilateral dorsolateral prefrontal cortex (DLPFC) between the two groups. Correlations between altered functional connectivity and clinical characteristics were assessed in CRPS patients. RESULTS CRPS patients exhibited lower functional connectivity within the bilateral anterior insulae, between the insular and cognitive control regions (the bilateral anterior/posterior insulae-dACC; the right posterior insula-left DLPFC), as compared with healthy controls at false discovery rate-corrected p < 0.05. In CRPS patients, pain severity was associated negatively with the left-right anterior insular functional connectivity (r = -0.49, p = 0.03), yet positively with the left anterior insula-dACC functional connectivity (r = 0.51, p = 0.02). CONCLUSIONS CRPS patients showed lower functional connectivity both within the bilateral anterior insulae and between the insular and cognitive control regions. The current findings may suggest pivotal roles of the insula in dysfunctional pain processing of CRPS patients.
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Affiliation(s)
- Jinsol Kim
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Eun Namgung
- Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea
| | - Suji Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Eunji Ha
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Haejin Hong
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Yumi Song
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Hyangwon Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Sohyun Oh
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea; Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
| | - Hyeonseok Jeong
- Department of Nuclear Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
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11
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Rolls ET, Feng R, Feng J. Lifestyle risks associated with brain functional connectivity and structure. Hum Brain Mapp 2023; 44:2479-2492. [PMID: 36799566 PMCID: PMC10028639 DOI: 10.1002/hbm.26225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/16/2023] [Accepted: 01/23/2023] [Indexed: 02/18/2023] Open
Abstract
Some lifestyle factors are related to health and brain function and structure, but the brain systems involved are incompletely understood. A general linear model was used to test the associations of the combined and separate lifestyle risk measures of alcohol use, smoking, diet, amounts of physical activity, leisure activity, and mobile phone use, with brain functional connectivity with the high resolution Human Connectome Project (HCP) atlas in 19,415 participants aged 45-78 from the UK Biobank, with replication with HCP data. Higher combined lifestyle risk scores were associated with lower functional connectivity across the whole brain, but especially of three brain systems. Low physical, and leisure and social, activity were associated with low connectivities of the somatosensory/motor cortical regions and of hippocampal memory-related regions. Low mobile phone use, perhaps indicative of poor social communication channels, was associated with low functional connectivity of brain regions in and related to the superior temporal sulcus that are involved in social behavior and face processing. Smoking was associated with lower functional connectivity of especially frontal regions involved in attention. Lower cortical thickness in some of these regions, and also lower subcortical volume of the hippocampus, amygdala, and globus pallidus, were also associated with the sum of the poor lifestyle scores. This very large scale analysis emphasizes how the lifestyle of humans relates to their brain structure and function, and provides a foundation for understanding the causalities that relate to the differences found here in the brains of different individuals.
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Affiliation(s)
- Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Ruiqing Feng
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
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12
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Charbonneau JA, Bennett JL, Chau K, Bliss-Moreau E. Reorganization in the macaque interoceptive-allostatic network following anterior cingulate cortex damage. Cereb Cortex 2023; 33:4334-4349. [PMID: 36066407 PMCID: PMC10110454 DOI: 10.1093/cercor/bhac346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/14/2022] Open
Abstract
Accumulating evidence indicates that the adult brain is capable of significant structural change following damage-a capacity once thought to be largely limited to developing brains. To date, most existing research on adult plasticity has focused on how exteroceptive sensorimotor networks compensate for damage to preserve function. Interoceptive networks-those that represent and process sensory information about the body's internal state-are now recognized to be critical for a wide range of physiological and psychological functions from basic energy regulation to maintaining a sense of self, but the extent to which these networks remain plastic in adulthood has not been established. In this report, we used detailed histological analyses to pinpoint precise changes to gray matter volume in the interoceptive-allostatic network in adult rhesus monkeys (Macaca mulatta) who received neurotoxic lesions of the anterior cingulate cortex (ACC) and neurologically intact control monkeys. Relative to controls, monkeys with ACC lesions had significant and selective unilateral expansion of the ventral anterior insula and significant relative bilateral expansion of the lateral nucleus of the amygdala. This work demonstrates the capacity for neuroplasticity in the interoceptive-allostatic network which, given that changes included expansion rather than atrophy, is likely to represent an adaptive response following damage.
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Affiliation(s)
- Joey A Charbonneau
- Neuroscience Graduate Program, University of California Davis, 1544 Newton Court, Davis, CA 95618, United States
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Jeffrey L Bennett
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, 2230 Stockton Blvd, Sacramento, CA 95817, United States
- The MIND Institute, University of California Davis, 2825 50th Street, Sacramento, CA 95817, United States
| | - Kevin Chau
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Eliza Bliss-Moreau
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
- Department of Psychology, University of California Davis, 135 Young Hall One Shields Avenue, Davis, CA 95616, United States
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13
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Zhu C, Zhang T, Li Q, Chen X, Wang K. Depression and Anxiety During the COVID-19 Pandemic: Epidemiology, Mechanism, and Treatment. Neurosci Bull 2023; 39:675-684. [PMID: 36411394 PMCID: PMC9685018 DOI: 10.1007/s12264-022-00970-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/12/2022] [Indexed: 11/23/2022] Open
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic has had an adverse impact on the physical and mental health of the public worldwide. In addition to illness in patients with COVID-19, isolated people and the general population have experienced mental health problems due to social distancing policies, mandatory lockdown, and other psychosocial factors, and the prevalence of depression and anxiety significantly increased during the pandemic. The purpose of this review is to elucidate the epidemiology, contributing factors, and pathogenesis of depression and anxiety. during the pandemic. These findings indicate that physicians and psychiatrists should pay more attention to and identify those with a high risk for mental problems, such as females, younger people, unmarried people, and those with a low educational level. In addition, researchers should focus on identifying the neural and neuroimmune mechanisms involved in depression and anxiety, and assess the intestinal microbiome to identify effective biomarkers. We also provide an overview of various intervention methods, including pharmacological treatment, psychological therapy, and physiotherapy, to provide a reference for different populations to guide the development of optimized intervention methods.
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Affiliation(s)
- Chunyan Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230032, China
| | - Ting Zhang
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Qianqian Li
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Xingui Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Kai Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China.
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230032, China.
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230032, China.
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14
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Contreras-Huerta LS, Coll MP, Bird G, Yu H, Prosser A, Lockwood PL, Murphy J, Crockett MJ, Apps MAJ. Neural representations of vicarious rewards are linked to interoception and prosocial behaviour. Neuroimage 2023; 269:119881. [PMID: 36702212 DOI: 10.1016/j.neuroimage.2023.119881] [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: 08/31/2022] [Revised: 12/12/2022] [Accepted: 01/14/2023] [Indexed: 01/24/2023] Open
Abstract
Every day we constantly observe other people receiving rewards. Theoretical accounts posit that vicarious reward processing might be linked to people's sensitivity to internal body states (interoception) and facilitates a tendency to act prosocially. However, the neural processes underlying the links between vicarious reward processing, interoception, and prosocial behaviour are poorly understood. Previous research has linked vicarious reward processing to the anterior cingulate gyrus (ACCg) and the anterior insula (AI). Can we predict someone's propensity to be prosocial or to be aware of interoceptive signals from variability in how the ACCg and AI process rewards? Here, participants monitored rewards being delivered to themselves or a stranger during functional magnetic resonance imaging. Later, they performed a task measuring their willingness to exert effort to obtain rewards for others, and a task measuring their propensity to be aware and use interoceptive respiratory signals. Using multivariate similarity analysis, we show that people's willingness to be prosocial is predicted by greater similarity between self and other representations in the ACCg. Moreover, greater dissimilarity in self-other representations in the AI is linked to interoceptive propensity. These findings highlight that vicarious reward is linked to bodily signals in AI, and foster prosocial tendencies through the ACCg.
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Affiliation(s)
- Luis Sebastian Contreras-Huerta
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK; Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Viña del Mar, Chile.
| | - Michel-Pierre Coll
- School of Psychology and CIRRIS research center, Laval University, Quebec City QC G1V 0A6, Canada
| | - Geoffrey Bird
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK; School of Psychology, University of Birmingham, Birmingham B15 2TT, UK
| | - Hongbo Yu
- Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Annayah Prosser
- Department of Psychology, University of Bath, BA2 7AY, United Kingdom
| | - Patricia L Lockwood
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK; Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Christ Church, University of Oxford, Oxford OX1 1DP, UK
| | - Jennifer Murphy
- Department of Psychology, Royal Holloway, University of London, London TW20 0EY, UK
| | - M J Crockett
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK; Department of Psychology, Yale University, New Haven, CT 06511, USA; Department of Psychology and University Center for Human Values, Princeton University, Princeton, USA
| | - Matthew A J Apps
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK; Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Christ Church, University of Oxford, Oxford OX1 1DP, UK.
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15
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Chen J, Zhao M, Huang L, Liu Y, Li X, Jia X, Ding Q, Wang C, Liang P. Amplitude of low-frequency fluctuation after taste exposure revealed by resting-state fMRI. Physiol Behav 2023; 261:114091. [PMID: 36669692 DOI: 10.1016/j.physbeh.2023.114091] [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: 07/10/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
Taste perception has been deeply explored from the behavioural level to delineating neural mechanisms. However, most previous studies about the neural underpinnings of taste perception have focused on task-related brain activation. Notably, evidence indicates that task-induced brain activation often involves interference from irrelevant task materials and only accounts for a small fraction of the brain's energy consumption. Investigation of the resting-state spontaneous brain activity would bring us a comprehensive understanding of the neural mechanism of taste perception. Here we acquired resting-state functional magnetic resonance imaging (rs-fMRI) data from twenty-two participants immediately after they received sweet, sour and tasteless gustatory stimulation. Our results showed that, in contrast to the tasteless condition, the sour exposure induced decreased amplitude of low-frequency fluctuation (ALFF) in the somatosensory cortex in the left post-central gyrus, and the sweet exposure led to increased ALFF in the bilateral putamen involved in reward processing. Moreover, in contrast to the sweet stimulation condition, the sour stimulation condition showed increased ALFF in the right superior frontal gyrus, which has been linked to functioning in high-order cognitive control. Altogether, our data indicate that taste exposure may affect the spontaneous functional activity in brain regions, including the somatosensory areas, reward processing areas and high-order cognitive functioning areas. Our findings may contribute to a further understanding the neural network and mechanisms after taste exposure.
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Affiliation(s)
- Jie Chen
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China; Brain and Cognition Research Center, Faculty of Education, Hubei University, Wuhan, China
| | - Mengqi Zhao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent, Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Lina Huang
- Imaging Department, Changshu No. 2 People's Hospital (the Clinical Medical College Affiliated to Xuzhou Medical University), Changshu, China
| | - Yuansheng Liu
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China; Brain and Cognition Research Center, Faculty of Education, Hubei University, Wuhan, China
| | - Xueying Li
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China; Brain and Cognition Research Center, Faculty of Education, Hubei University, Wuhan, China
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent, Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Qingguo Ding
- Imaging Department, Changshu No. 2 People's Hospital (the Clinical Medical College Affiliated to Xuzhou Medical University), Changshu, China.
| | - Chunjie Wang
- Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
| | - Pei Liang
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China; Brain and Cognition Research Center, Faculty of Education, Hubei University, Wuhan, China.
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16
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Dunlop BW, Cha J, Choi KS, Rajendra JK, Nemeroff CB, Craighead WE, Mayberg HS. Shared and Unique Changes in Brain Connectivity Among Depressed Patients After Remission With Pharmacotherapy Versus Psychotherapy. Am J Psychiatry 2023; 180:218-229. [PMID: 36651624 DOI: 10.1176/appi.ajp.21070727] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The authors sought to determine the shared and unique changes in brain resting-state functional connectivity (rsFC) between patients with major depressive disorder who achieved remission with cognitive-behavioral therapy (CBT) or with antidepressant medication. METHODS The Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) trial randomized adults with treatment-naive major depressive disorder to 12 weeks of treatment with CBT (16 1-hour sessions) or medication (duloxetine 30-60 mg/day or escitalopram 10-20 mg/day). Resting-state functional MRI scans were performed at baseline and at week 12. The primary outcome was change in the whole-brain rsFC of four seeded brain networks among participants who achieved remission. RESULTS Of the 131 completers with usable MRI data (74 female; mean age, 39.8 years), remission was achieved by 19 of 40 CBT-treated and 45 of 91 medication-treated patients. Three patterns of connectivity changes were observed. First, those who remitted with either treatment shared a pattern of reduction in rsFC between the subcallosal cingulate cortex and the motor cortex. Second, reciprocal rsFC changes were observed across multiple networks, primarily increases in CBT remitters and decreases in medication remitters. And third, in CBT remitters only, rsFC increased within the executive control network and between the executive control network and parietal attention regions. CONCLUSIONS Remission from major depression via treatment with CBT or medication is associated with changes in rsFC that are mostly specific to the treatment modality, providing biological support for the clinical practice of switching between or combining these treatment approaches. Medication is associated with broadly inhibitory effects. In CBT remitters, the increase in rsFC strength between networks involved in cognitive control and attention provides biological support for the theorized mechanism of CBT. Reducing affective network connectivity with motor systems is a shared process important for remission with both CBT and medication.
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Affiliation(s)
- Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - Jungho Cha
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - Ki Sueng Choi
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - Justin K Rajendra
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - Charles B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - W Edward Craighead
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
| | - Helen S Mayberg
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Dunlop, Craighead); Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York (Cha, Choi, Mayberg); Scientific and Statistical Computational Core, NIMH, Bethesda (Rajendra); Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin (Nemeroff); Department of Psychology, Emory University, Atlanta (Craighead)
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17
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Rolls ET, Feng R, Cheng W, Feng J. Orbitofrontal cortex connectivity is associated with food reward and body weight in humans. Soc Cogn Affect Neurosci 2023; 18:nsab083. [PMID: 34189586 PMCID: PMC10498940 DOI: 10.1093/scan/nsab083] [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: 04/15/2021] [Revised: 06/10/2021] [Accepted: 06/29/2021] [Indexed: 11/12/2022] Open
Abstract
The aim was to investigate with very large-scale analyses whether there are underlying functional connectivity differences between humans that relate to food reward and whether these in turn are associated with being overweight. In 37 286 humans from the UK Biobank, resting-state functional connectivities of the orbitofrontal cortex (OFC), especially with the anterior cingulate cortex, were positively correlated with the liking for sweet foods (False Discovery Rate (FDR) P < 0.05). They were also positively correlated with the body mass index (BMI) (FDR P < 0.05). Moreover, in a sample of 502 492 people, the 'liking for sweet foods' was correlated with their BMI (r = 0.06, P < 10-125). In a cross-validation with 545 participants from the Human Connectome Project, a higher functional connectivity involving the OFC relative to other brain areas was associated with a high BMI (≥30) compared to a mid-BMI group (22-25; P = 6 × 10-5), and low OFC functional connectivity was associated with a low BMI (≤20.5; P < 0.024). It is proposed that a high BMI relates to increased efficacy of OFC food reward systems and a low BMI to decreased efficacy. This was found with no stimulation by food, so may be an underlying individual difference in brain connectivity that is related to food reward and BMI.
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Affiliation(s)
- Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
- Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Ruiqing Feng
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China
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18
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Rolls ET. The orbitofrontal cortex, food reward, body weight and obesity. Soc Cogn Affect Neurosci 2023; 18:nsab044. [PMID: 33830272 PMCID: PMC9997078 DOI: 10.1093/scan/nsab044] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/17/2021] [Accepted: 04/08/2021] [Indexed: 12/23/2022] Open
Abstract
In primates including humans, the orbitofrontal cortex is the key brain region representing the reward value and subjective pleasantness of the sight, smell, taste and texture of food. At stages of processing before this, in the insular taste cortex and inferior temporal visual cortex, the identity of the food is represented, but not its affective value. In rodents, the whole organisation of reward systems appears to be different, with reward value reflected earlier in processing systems. In primates and humans, the amygdala is overshadowed by the great development of the orbitofrontal cortex. Social and cognitive factors exert a top-down influence on the orbitofrontal cortex, to modulate the reward value of food that is represented in the orbitofrontal cortex. Recent evidence shows that even in the resting state, with no food present as a stimulus, the liking for food, and probably as a consequence of that body mass index, is correlated with the functional connectivity of the orbitofrontal cortex and ventromedial prefrontal cortex. This suggests that individual differences in these orbitofrontal cortex reward systems contribute to individual differences in food pleasantness and obesity. Implications of how these reward systems in the brain operate for understanding, preventing and treating obesity are described.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK
- Department of Computer Science, University of Warwick, Coventry, UK
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19
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Frank GKW, Shott ME, Pryor T, Swindle S, Nguyen T, Stoddard J. Trait anxiety is associated with amygdala expectation and caloric taste receipt response across eating disorders. Neuropsychopharmacology 2023; 48:380-390. [PMID: 36100656 PMCID: PMC9750993 DOI: 10.1038/s41386-022-01440-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/26/2022]
Abstract
Anxious traits are elevated in eating disorders (EDs), are considered risk factors for ED development, and trait anxiety has been linked to ED psychopathology. How trait anxiety relates to ED neurobiology is not well understood. In this study 197 individuals across the ED spectrum (anorexia nervosa n = 91; other specified EDs n = 34; bulimia nervosa n = 56; binge ED n = 16), and 120 healthy controls were assessed for anxious traits and learned to expect and receive caloric or neutral taste stimuli during brain imaging. Amygdala sucrose expectation response differed across groups (Wilk's lambda = 0.945, p = 0.023), and was higher on the left in anorexia nervosa compared to healthy controls (p = 0.002). Expected sucrose receipt response across taste reward regions was not different between groups. In the ED sample, trait anxiety negatively moderated the relationship between amygdala expectation and right dorsal (p = 0.0062) and ventral (p = 0.0046) anterior insula receipt response. A subgroup analysis showed similar results for anorexia nervosa, and partially in bulimia nervosa. Across EDs, appetitive motivation correlated positively with bilateral orbitofrontal cortex, caudate head, and ventral striatal sucrose receipt response (r = 0.215 to 0.179, p = 0.002 to 0.012). Across the study sample, trait anxiety showed an inverted-U-shaped relationship with right (r = 0.147, p = 0.034) and left (r = 0.162, p = 0.016) amygdala expectation response. Amygdala sucrose expectation response is elevated in anorexia nervosa, correlates with sucrose receipt response, and this relationship is negatively moderated by trait anxiety across EDs. Trait anxiety may have an important role in how expectation drives taste stimulus receipt brain response and perhaps food approach in individuals with EDs.
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Affiliation(s)
- Guido K W Frank
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA.
| | - Megan E Shott
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA
| | | | - Skylar Swindle
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA
| | - Tyler Nguyen
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA
| | - Joel Stoddard
- Department of Psychiatry, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
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20
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Rolls ET, Deco G, Huang CC, Feng J. Human amygdala compared to orbitofrontal cortex connectivity, and emotion. Prog Neurobiol 2023; 220:102385. [PMID: 36442728 DOI: 10.1016/j.pneurobio.2022.102385] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/14/2022] [Accepted: 11/24/2022] [Indexed: 11/26/2022]
Abstract
The amygdala and orbitofrontal cortex have been implicated in emotion. To understand these regions better in humans, their effective connectivity with 360 cortical regions was measured in 171 humans from the Human Connectome Project, and complemented with functional connectivity and diffusion tractography. The human amygdala has effective connectivity from few cortical regions compared to the orbitofrontal cortex: primarily from auditory cortex A5 and the related superior temporal gyrus and temporal pole regions; the piriform (olfactory) cortex; the lateral orbitofrontal cortex 47m; somatosensory cortex; the hippocampus, entorhinal cortex, perirhinal cortex, and parahippocampal TF; and from the cholinergic nucleus basalis. The amygdala has effective connectivity to the hippocampus, entorhinal and perirhinal cortex; to the temporal pole; and to the lateral orbitofrontal cortex. The orbitofrontal cortex has effective connectivity from gustatory, olfactory, and temporal visual, auditory and pole cortex, and to the pregenual anterior and posterior cingulate cortex, hippocampal system, and prefrontal cortex, and provides for rewards and punishers to be used in reported emotions, and memory and navigation to goals. Given the paucity of amygdalo-neocortical connectivity in humans, it is proposed that the human amygdala is involved primarily in autonomic and conditioned responses via brainstem connectivity, rather than in reported (declarative) emotion.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK; Department of Computer Science, University of Warwick, Coventry, UK; Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, 08018, Spain Brain and Cognition, Pompeu Fabra University, Barcelona, Spain; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Passeig Lluís Companys 23, Barcelona 08010, Spain
| | - Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, UK; Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
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21
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Rolls ET, Deco G, Huang CC, Feng J. The human orbitofrontal cortex, vmPFC, and anterior cingulate cortex effective connectome: emotion, memory, and action. Cereb Cortex 2022; 33:330-356. [PMID: 35233615 DOI: 10.1093/cercor/bhac070] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 01/17/2023] Open
Abstract
The human orbitofrontal cortex, ventromedial prefrontal cortex (vmPFC), and anterior cingulate cortex are involved in reward processing and thereby in emotion but are also implicated in episodic memory. To understand these regions better, the effective connectivity between 360 cortical regions and 24 subcortical regions was measured in 172 humans from the Human Connectome Project and complemented with functional connectivity and diffusion tractography. The orbitofrontal cortex has effective connectivity from gustatory, olfactory, and temporal visual, auditory, and pole cortical areas. The orbitofrontal cortex has connectivity to the pregenual anterior and posterior cingulate cortex and hippocampal system and provides for rewards to be used in memory and navigation to goals. The orbitofrontal and pregenual anterior cortex have connectivity to the supracallosal anterior cingulate cortex, which projects to midcingulate and other premotor cortical areas and provides for action-outcome learning including limb withdrawal or flight or fight to aversive and nonreward stimuli. The lateral orbitofrontal cortex has outputs to language systems in the inferior frontal gyrus. The medial orbitofrontal cortex connects to the nucleus basalis of Meynert and the pregenual cingulate to the septum, and damage to these cortical regions may contribute to memory impairments by disrupting cholinergic influences on the neocortex and hippocampus.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK.,Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.,Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain.,Cognition, Pompeu Fabra University, Barcelona, Spain.,Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Passeig Lluís Companys 23, Barcelona 08010, Spain
| | - Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.,Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai 200433, China
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22
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Rolls ET, Deco G, Huang CC, Feng J. Prefrontal and somatosensory-motor cortex effective connectivity in humans. Cereb Cortex 2022; 33:4939-4963. [PMID: 36227217 DOI: 10.1093/cercor/bhac391] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/12/2022] Open
Abstract
Effective connectivity, functional connectivity, and tractography were measured between 57 cortical frontal and somatosensory regions and the 360 cortical regions in the Human Connectome Project (HCP) multimodal parcellation atlas for 171 HCP participants. A ventral somatosensory stream connects from 3b and 3a via 1 and 2 and then via opercular and frontal opercular regions to the insula, which then connects to inferior parietal PF regions. This stream is implicated in "what"-related somatosensory processing of objects and of the body and in combining with visual inputs in PF. A dorsal "action" somatosensory stream connects from 3b and 3a via 1 and 2 to parietal area 5 and then 7. Inferior prefrontal regions have connectivity with the inferior temporal visual cortex and orbitofrontal cortex, are implicated in working memory for "what" processing streams, and provide connectivity to language systems, including 44, 45, 47l, TPOJ1, and superior temporal visual area. The dorsolateral prefrontal cortex regions that include area 46 have connectivity with parietal area 7 and somatosensory inferior parietal regions and are implicated in working memory for actions and planning. The dorsal prefrontal regions, including 8Ad and 8Av, have connectivity with visual regions of the inferior parietal cortex, including PGs and PGi, and are implicated in visual and auditory top-down attention.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK.,Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.,Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai 200403, China
| | - Gustavo Deco
- Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain.,Brain and Cognition, Pompeu Fabra University, Barcelona 08018, Spain.,Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Passeig Lluís Companys 23, Barcelona 08010, Spain
| | - Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200602, China.,Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 200602, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.,Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai 200403, China
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23
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Starski P, Maulucci D, Mead H, Hopf F. Adaptation of the 5-choice serial reaction time task to measure engagement and motivation for alcohol in mice. Front Behav Neurosci 2022; 16:968359. [PMID: 36187376 PMCID: PMC9522902 DOI: 10.3389/fnbeh.2022.968359] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Alcohol use disorder (AUD) is related to excessive binge alcohol consumption, and there is considerable interest in associated factors that promote intake. AUD has many behavioral facets that enhance inflexibility toward alcohol consumption, including impulsivity, motivation, and attention. Thus, it is important to understand how these factors might promote responding for alcohol and can change after protracted alcohol intake. Previous studies have explored such behavioral factors using responding for sugar in the 5-Choice Serial Reaction Time Task (5-CSRTT), which allows careful separation of impulsivity, attention, and motivation. Importantly, our studies uniquely focus on using alcohol as the reward throughout training and testing sessions, which is critical for beginning to answer central questions relating to behavioral engagement for alcohol. Alcohol preference and consumption in male C57BL/6 mice were determined from the first 9 sessions of 2-h alcohol drinking which were interspersed among 5-CSRTT training. Interestingly, alcohol preference but not consumption level significantly predicted 5-CSRTT responding for alcohol. In contrast, responding for strawberry milk was not related to alcohol preference. Moreover, high-preference (HP) mice made more correct alcohol-directed responses than low-preference (LP) during the first half of each session and had more longer reward latencies in the second half, with no differences when performing for strawberry milk, suggesting that HP motivation for alcohol may reflect “front-loading.” Mice were then exposed to an Intermittent Access to alcohol paradigm and retested in 5-CSRTT. While both HP and LP mice increased 5-CSRTT responding for alcohol, but not strawberry milk, LP performance rose to HP levels, with a greater change in correct and premature responding in LP versus HP. Overall, this study provides three significant findings: (1) alcohol was a suitable reward in the 5-CSRTT, allowing dissection of impulsivity, attention, and motivation in relation to alcohol drinking, (2) alcohol preference was a more sensitive indicator of mouse 5-CSRTT performance than consumption, and (3) intermittent alcohol drinking promoted behavioral engagement with alcohol, especially for individuals with less initial engagement.
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Affiliation(s)
- Phillip Starski
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Danielle Maulucci
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Hunter Mead
- Department of Psychology, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN, United States
| | - Frederic Hopf
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
- *Correspondence: Frederic Hopf,
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24
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Xu X, Pu J, Shaw A, Jackson T. Neural responsiveness to Chinese versus Western food images: An functional magnetic resonance imaging study of Chinese young adults. Front Nutr 2022; 9:948039. [PMID: 36034899 PMCID: PMC9411937 DOI: 10.3389/fnut.2022.948039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022] Open
Abstract
Cross-cultural studies suggest that people typically prefer to eat familiar foods from their own culture rather than foreign foods from other cultures. On this basis, it is plausible that neural responsiveness elicited by palatable food images from one’s own culture differ from those elicited by food depictions from other cultures. Toward clarifying this issue, we examined neural activation and self-report responses to indigenous (Chinese) versus Western food images among young Chinese adults. Participants (33 women, 33 men) viewed Chinese food, Western food and furniture control images during a functional magnetic resonance imaging (fMRI) scan and then rated the images on “liking,” “wanting,” and “difficult resisting.” Analyses indicated there were no significant differences in self-report ratings of Chinese versus Western food images. However, Chinese food images elicited stronger activation in regions linked to cravings, taste perception, attention, reward, and visual processing (i.e., cerebellum crus, superior temporal gyrus, supramarginal gyrus, middle temporal gyrus, inferior parietal lobule, posterior insula, middle occipital gyrus; inferior occipital gyrus). Conversely, Western food images elicited stronger activation in areas involved in visual object recognition and visual processing (inferior temporal gyrus, middle occipital gyrus, calcarine). These findings underscored culture as a potentially important influence on neural responses to visual food cues and raised concerns about the ecological validity of using “standard” Western food images in neuroimaging studies of non-Western samples. Results also provide foundations for designing culturally informed research and intervention approaches in non-Westerns contexts guided by the use of external food cues that are most salient to the cultural group under study.
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Affiliation(s)
- Xi Xu
- School of Psychology, Southwest University, Chongqing, China
| | - Jiajia Pu
- School of Psychology, Southwest University, Chongqing, China
| | - Amy Shaw
- Department of Psychology, University of Macau, Macao, Macao SAR, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao, Macao SAR, China
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25
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Zheng L, Miao M, Gan Y. A systematic and meta-analytic review on the neural correlates of viewing high- and low-calorie foods among normal-weight adults. Neurosci Biobehav Rev 2022; 138:104721. [PMID: 35667634 DOI: 10.1016/j.neubiorev.2022.104721] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/12/2022] [Accepted: 05/30/2022] [Indexed: 11/30/2022]
Abstract
In the context of current-day online shopping, people select foods based on pictures and using their visual systems. Although there are some reviews of previous neuroimaging studies on appetitive behaviors, the findings on neural activation in response to pictures of high- and low-calorie foods seem inconsistent. This study aims to systematically review, integrate, and meta-analyze neuroimaging evidence of viewing high- and low-calorie foods. There were 25 samples from 24 studies, totalizing 489 normal-weight participants (311 female, 160 male, and 18 of unknown sex). We conducted a systematic review and Activation Likelihood Estimation (ALE) meta-analysis on viewing high-calorie foods (versus non-foods), low-calorie foods (versus non-foods), and high- versus low-calorie foods. In systematic review, several brain regions were shown to be activated when viewing high- or low-calorie foods (versus non-foods) and viewing high- versus low-calorie foods, including the prefrontal cortex, orbitofrontal cortex, amygdala, insula, ventral striatum, hippocampus, superior parietal lobe, and fusiform gyrus. However, the ALE meta-analysis showed that the left orbitofrontal cortex, left amygdala, insula, superior parietal lobe, and fusiform gyrus were activated when viewing high-calorie foods (versus non-foods); the left fusiform gyrus was activated when viewing low-calorie foods (versus non-foods); and no cluster was activated when viewing high- versus low-calorie foods. Our research suggests an appetitive brain network that includes visual perception and attentional processing, sensory input integration, subjective reward value encoding, decision-making, and top-down cognitive control. Future studies should control for the effects of methodological and physiological variables when examining the neural correlates of viewing high- and low-calorie foods.
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Affiliation(s)
- Lei Zheng
- School of Economics and Management, Fuzhou University, China; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China
| | - Miao Miao
- Department of Medical Psychology, School of Health Humanities, Peking University, China
| | - Yiqun Gan
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China.
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26
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Yang F, Li X, Hu P. The Resting-State Neural Network of Delay Discounting. Front Psychol 2022; 13:828929. [PMID: 35360605 PMCID: PMC8962669 DOI: 10.3389/fpsyg.2022.828929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Delay discounting is a common phenomenon in daily life, which refers to the subjective value of a future reward decreasing as a function of time. Previous studies have identified several cortical regions involved in delay discounting, but the neural network constructed by the cortical regions of delay discounting is less clear. In this study, we employed resting-state functional magnetic resonance imaging (RS-fMRI) to measure the spontaneous neural activity in a large sample of healthy young adults and used the Monetary Choice Questionnaire to directly measure participants’ level of delay discounting. To identify the neural network of delay discounting at rest, we used an individual difference approach to explore brain regions whose spontaneous activities were related to delay discounting across the whole brain. Then, these brain regions served as seeds to identify the neural network of delay discounting. We found that the fractional amplitude of low-frequency fluctuations (fALFF) of the left insula were positively correlated to delay discounting. More importantly, its connectivity to the anterior cingulate cortex was read out for participants’ behavioral performance in the task of delay discounting. In short, our study provides empirical evidence that insula-anterior cingulate cortex connectivity may serve as a part of the neural network for delay discounting.
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27
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Volume and Connectivity Differences in Brain Networks Associated with Cognitive Constructs of Binge Eating. eNeuro 2022; 9:ENEURO.0080-21.2021. [PMID: 35064023 PMCID: PMC8856709 DOI: 10.1523/eneuro.0080-21.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 11/14/2021] [Accepted: 11/29/2021] [Indexed: 12/16/2022] Open
Abstract
Bulimia nervosa (BN) and binge eating disorder (BED) are characterized by episodes of eating large amounts of food while experiencing a loss of control. Recent studies suggest that the underlying causes of BN/BED consist of a complex system of environmental cues, atypical processing of food stimuli, altered behavioral responding, and structural/functional brain differences compared with healthy controls (HC). In this narrative review, we provide an integrative account of the brain networks associated with the three cognitive constructs most integral to BN and BED, namely increased reward sensitivity, decreased cognitive control, and altered negative affect and stress responding. We show altered activity in BED/BN within several brain networks, specifically in the striatum, insula, prefrontal cortex (PFC) and orbitofrontal cortex (OFC), and cingulate gyrus. Numerous key nodes in these networks also differ in volume and connectivity compared with HC. We provide suggestions for how this integration may guide future research into these brain networks and cognitive constructs.
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28
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Ponticorvo S, Prinster A, Cantone E, Di Salle F, Esposito F, Canna A. Sex differences in the taste-evoked functional connectivity network. Chem Senses 2022; 47:6617558. [PMID: 35749468 DOI: 10.1093/chemse/bjac015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The central gustatory pathway encompasses multiple subcortical and cortical regions whose neural functional connectivity can be modulated by taste stimulation. While gustatory perception has been previously linked to sex, whether and how the gustatory network differently responds to basic tastes between men and women is unclear. Here, we defined the regions of the central gustatory network by a meta-analysis of 35 fMRI taste activation studies and then analyzed the taste-evoked functional connectivity between these regions in 44 subjects (19 women) in a separate 3 Tesla activation study where sweet and bitter solutions, at five concentrations each, were administered during scanning. From the meta-analysis, a network model was set up, including bilateral anterior, middle and inferior insula, thalamus, precentral gyrus, left amygdala, caudate and dorsolateral prefrontal cortex. Higher functional connectivity than in women was observed in men between the right middle insula and bilateral thalami for bitter taste. Men exhibited higher connectivity than women at low bitter concentrations and middle-high sweet concentrations between bilateral thalamus and insula. A graph-based analysis expressed similar results in terms of nodal characteristics of strength and centrality. Our findings add new insights into the mechanisms of taste processing by highlighting sex differences in the functional connectivity of the gustatory network as modulated by the perception of sweet and bitter tastes. These results shed more light on the neural origin of sex-related differences in gustatory perception and may guide future research on the pathophysiology of taste perception in humans.
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Affiliation(s)
- Sara Ponticorvo
- Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, University of Salerno, Baronissi, Italy
| | - Anna Prinster
- Biostructure and Bioimaging Institute, National Research Council, Naples, Italy
| | - Elena Cantone
- Section of ENT, Department of Neuroscience, Federico II University, Naples, Italy
| | - Francesco Di Salle
- Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, University of Salerno, Baronissi, Italy.,University Hospital "San Giovanni di Dio e Ruggi D'Aragona", Scuola Medica Salernitana, Salerno, Italy
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Antonietta Canna
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
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29
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Kim Y, Han YJ, Park HY, Park GY, Jung M, Lee S, Im S. Neural correlates in the development of and recovery from dysphagia after supratentorial stroke: A prospective tractography study. NEUROIMAGE: CLINICAL 2022; 35:103103. [PMID: 35779464 PMCID: PMC9251599 DOI: 10.1016/j.nicl.2022.103103] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/20/2022] [Accepted: 06/24/2022] [Indexed: 11/18/2022] Open
Abstract
Stroke may lead to unilateral or bilateral CBT changes regardless of dysphagia. Poor fractional anisotropy of the unaffected sides relates to limited recovery. Swallowing recovery may depend on the integrity of the unaffected CBT. Bi-hemispheric reorganization of the CBT is associated with swallowing recovery.
Background Methods Results Conclusions
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Affiliation(s)
- Youngkook Kim
- Department of Rehabilitation Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yeon-Jae Han
- Department of Rehabilitation Medicine, Hankook-hyo Convalescent Hospital, Republic of Korea
| | - Hae-Yeon Park
- Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Geun-Young Park
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Moa Jung
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Soohwan Lee
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sun Im
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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30
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Yang Y, Wu Q, Morys F. Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis. Brain Sci 2021; 11:brainsci11121587. [PMID: 34942889 PMCID: PMC8699077 DOI: 10.3390/brainsci11121587] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 11/28/2021] [Accepted: 11/29/2021] [Indexed: 01/16/2023] Open
Abstract
Overconsumption of high-calorie or unhealthy foods commonly leads to weight gain. Understanding people’s neural responses to high-calorie food cues might help to develop better interventions for preventing or reducing overeating and weight gain. In this review, we conducted a coordinate-based meta-analysis of functional magnetic resonance imaging studies of viewing high-calorie food cues in both normal-weight people and people with obesity. Electronic databases were searched for relevant articles, retrieving 59 eligible studies containing 2410 unique participants. The results of an activation likelihood estimation indicate large clusters in a range of structures, including the orbitofrontal cortex (OFC), amygdala, insula/frontal operculum, culmen, as well as the middle occipital gyrus, lingual gyrus, and fusiform gyrus. Conjunction analysis suggested that both normal-weight people and people with obesity activated OFC, supporting that the two groups share common neural substrates of reward processing when viewing high-calorie food cues. The contrast analyses did not show significant activations when comparing obesity with normal-weight. Together, these results provide new important evidence for the neural mechanism underlying high-calorie food cues processing, and new insights into common and distinct brain activations of viewing high-calorie food cues between people with obesity and normal-weight people.
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Affiliation(s)
- Yingkai Yang
- Faculty of Psychology, Southwest University, No. 2 Tiansheng Street, Beibei District, Chongqing 400715, China
- Correspondence: ; Tel.: +86-13164407461
| | - Qian Wu
- The Lab of Mental Health and Social Adaptation, Faculty of Psychology, Research Center of Mental Health Education, Southwest University, Chongqing 400715, China;
| | - Filip Morys
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada;
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31
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Livneh Y, Andermann ML. Cellular activity in insular cortex across seconds to hours: Sensations and predictions of bodily states. Neuron 2021; 109:3576-3593. [PMID: 34582784 PMCID: PMC8602715 DOI: 10.1016/j.neuron.2021.08.036] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/17/2021] [Accepted: 08/26/2021] [Indexed: 02/09/2023]
Abstract
Our wellness relies on continuous interactions between our brain and body: different organs relay their current state to the brain and are regulated, in turn, by descending visceromotor commands from our brain and by actions such as eating, drinking, thermotaxis, and predator escape. Human neuroimaging and theoretical studies suggest a key role for predictive processing by insular cortex in guiding these efforts to maintain bodily homeostasis. Here, we review recent studies recording and manipulating cellular activity in rodent insular cortex at timescales from seconds to hours. We argue that consideration of these findings in the context of predictive processing of future bodily states may reconcile several apparent discrepancies and offer a unifying, heuristic model for guiding future work.
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Affiliation(s)
- Yoav Livneh
- Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.
| | - Mark L Andermann
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
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32
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Zhang L, Tang X, Wang C, Ding D, Zhu J, Zhou Y, Diao S, Kong Y, Cai X, Li C, Yao Y, Fang Q. Predictive Model of Dysphagia and Brain Lesion-Symptom Mapping in Acute Ischemic Stroke. Front Aging Neurosci 2021; 13:753364. [PMID: 34744695 PMCID: PMC8564389 DOI: 10.3389/fnagi.2021.753364] [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: 08/04/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022] Open
Abstract
Background and purpose: Early recognition and management of post-stroke dysphagia (PSD) based on MRI may reduce the incidence of complications. Combining clinical symptoms with applications of MRI, we aimed to identify the risk factors of PSD, develop a prediction scale with high accuracy and map key dysphagia brain areas. Methods: A total of 275 acute ischemic stroke patients were enrolled in this study, and 113 (41.1%) patients were diagnosed with PSD. All patients underwent the water-swallowing test (WST) and volume-viscosity swallow test (V-VST) within first 24 h following admission to assess swallowing. Vascular factors were evaluated and MRI brain scans were obtained within 3 days after symptom onset for each participant admitted to the hospital. T-test, chi-squared test and Fisher’s exact test were used to investigate the associations of various patient characteristics with dysphagia, and multivariable logistic regression models were used to construct a prediction scale. Scale accuracy was assessed using receiver operating characteristic (ROC) analysis. We extracted white matter hyperintensities for each patient as potential brain lesions. Voxel-based lesion-symptom mapping (VLSM) was used to identify key brain areas for dysphagia. Results: Risk factors related with PSD were older age, history of atrial fibrillation, higher fasting blood glucose, NIH stroke scale, TOAST classification, progressive stroke, middle cerebral artery lesion and anterior cerebral artery lesion. Three variables with most significant associations, including NIH stroke scale, TOAST classification and progressive stroke, combined with age and gender, were used to construct a dysphagia prediction scale with high accuracy (AUC = 0.86). VLSM identified left inferior parietal gyrus as a key brain region for PSD. Conclusion: Risk factors of PSD were identified and a predictive model of dysphagia was constructed intelligently and automatically. The left inferior parietal gyrus was identified as a key brain area for dysphagia, which provides a new symptom-based treatment target for early rehabilitation in the future.
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Affiliation(s)
- Lulu Zhang
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiang Tang
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Can Wang
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dongxue Ding
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Juehua Zhu
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yun Zhou
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shanshan Diao
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yan Kong
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiuying Cai
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Cuiping Li
- Shanghai Zhiyu Software Technology Co., Ltd., Shanghai, China
| | - Ye Yao
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Qi Fang
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
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Alasfour A, Jiang X, Gonzalez-Martinez J, Gilja V, Halgren E. High γ Activity in Cortex and Hippocampus Is Correlated with Autonomic Tone during Sleep. eNeuro 2021; 8:ENEURO.0194-21.2021. [PMID: 34732536 PMCID: PMC8607912 DOI: 10.1523/eneuro.0194-21.2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 09/29/2021] [Accepted: 10/08/2021] [Indexed: 12/30/2022] Open
Abstract
Studies in animals have demonstrated a strong relationship between cortical and hippocampal activity, and autonomic tone. However, the extent, distribution, and nature of this relationship have not been investigated with intracranial recordings in humans during sleep. Cortical and hippocampal population neuronal firing was estimated from high γ band activity (HG) from 70 to 110 Hz in local field potentials (LFPs) recorded from 15 subjects (nine females) during nonrapid eye movement (NREM) sleep. Autonomic tone was estimated from heart rate variability (HRV). HG and HRV were significantly correlated in the hippocampus and multiple cortical sites in NREM stages N1-N3. The average correlation between HG and HRV could be positive or negative across patients given anatomic location and sleep stage and was most profound in lateral temporal lobe in N3, suggestive of greater cortical activity associated with sympathetic tone. Patient-wide correlation was related to δ band activity (1-4 Hz), which is known to be correlated with high γ activity during sleep. The percentage of statistically correlated channels was weaker in N1 and N2 as compared with N3, and was strongest in regions that have previously been associated with autonomic processes, such as anterior hippocampus and insula. The anatomic distribution of HRV-HG correlations during sleep did not reproduce those usually observed with positron emission tomography (PET) or functional magnetic resonance imaging (fMRI) during waking. This study aims to characterize the relationship between autonomic tone and neuronal firing rate during sleep and further studies are needed to investigate finer temporal resolutions, denser coverages, and different frequency bands in both waking and sleep.
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Affiliation(s)
- Abdulwahab Alasfour
- Department of Electrical Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait 13060
- Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093
| | - Xi Jiang
- Department of Neurosciences, University of California at San Diego, La Jolla, CA 92093
| | - Jorge Gonzalez-Martinez
- Department of Neurological Surgery and Epilepsy Center, University of Pittsburgh, Pittsburgh, PA 15260
| | - Vikash Gilja
- Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093
| | - Eric Halgren
- Department of Neurosciences, Department of Radiology, University of California at San Diego, La Jolla, CA 92093
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Better living through understanding the insula: Why subregions can make all the difference. Neuropharmacology 2021; 198:108765. [PMID: 34461066 DOI: 10.1016/j.neuropharm.2021.108765] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/19/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
Insula function is considered critical for many motivated behaviors, with proposed functions ranging from attention, behavioral control, emotional regulation, goal-directed and aversion-resistant responding. Further, the insula is implicated in many neuropsychiatric conditions including substance abuse. More recently, multiple insula subregions have been distinguished based on anatomy, connectivity, and functional contributions. Generally, posterior insula is thought to encode more somatosensory inputs, which integrate with limbic/emotional information in middle insula, that in turn integrate with cognitive processes in anterior insula. Together, these regions provide rapid interoceptive information about the current or predicted situation, facilitating autonomic recruitment and quick, flexible action. Here, we seek to create a robust foundation from which to understand potential subregion differences, and provide direction for future studies. We address subregion differences across humans and rodents, so that the latter's mechanistic interventions can best mesh with clinical relevance of human conditions. We first consider the insula's suggested roles in humans, then compare subregional studies, and finally describe rodent work. One primary goal is to encourage precision in describing insula subregions, since imprecision (e.g. including both posterior and anterior studies when describing insula work) does a disservice to a larger understanding of insula contributions. Additionally, we note that specific task details can greatly impact recruitment of various subregions, requiring care and nuance in design and interpretation of studies. Nonetheless, the central ethological importance of the insula makes continued research to uncover mechanistic, mood, and behavioral contributions of paramount importance and interest. This article is part of the special Issue on 'Neurocircuitry Modulating Drug and Alcohol Abuse'.
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Effects of interoceptive accuracy in autonomic responses to external stimuli based on cardiac rhythm. PLoS One 2021; 16:e0256914. [PMID: 34464424 PMCID: PMC8407568 DOI: 10.1371/journal.pone.0256914] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 08/18/2021] [Indexed: 11/25/2022] Open
Abstract
Interoceptive accuracy is an index of the ability to perceive an individual’s internal bodily state, including heartbeat and respiration. Individual differences in interoceptive accuracy influence emotional recognition through autonomic nervous activity. However, the precise mechanism by which interoceptive accuracy affects autonomic reactivity remains unclear. Here, we investigated how cardiac reactivity induced by a non-affective external rhythm differed among individuals, using a heartbeat counting task. Because individuals with poor interoceptive accuracy cannot distinguish an external rhythm from their cardiac cycles, it has been hypothesized that the interoceptive effect on heart rate works differently in individuals with good interoceptive accuracy and those with poor interoceptive accuracy. Study participants observed a visual or auditory stimulus presented at a rhythm similar to the participants’ resting heart rates. The stimulus rhythm was gradually changed from that of their resting heart rate, and we recorded electrocardiographs while participants were exposed to the stimuli. Individuals with good interoceptive accuracy exhibited a deceleration in heart rate when the rhythm of the auditory stimulus changed. In contrast, in the group with poor interoceptive accuracy, the heart rate decreased only when the stimulus became faster. They were unable to distinguish the rhythm of their own heartbeat from that of the external rhythm; therefore, we propose that such individuals recognize the stimuli at the pace of their heart rate. Individuals with good interoceptive accuracy were able to distinguish their heart rates from the external rhythm. A modality difference was not observed in this study, which suggests that both visual and auditory stimuli help mimic heart rate. These results may provide physiological evidence that autonomic reactivity influences the perception of the internal bodily state, and that interoception and the autonomic state interact to some degree.
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Suen JLK, Yeung AWK, Wu EX, Leung WK, Tanabe HC, Goto TK. Effective Connectivity in the Human Brain for Sour Taste, Retronasal Smell, and Combined Flavour. Foods 2021; 10:foods10092034. [PMID: 34574144 PMCID: PMC8466623 DOI: 10.3390/foods10092034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/14/2021] [Accepted: 08/23/2021] [Indexed: 01/01/2023] Open
Abstract
The anterior insula and rolandic operculum are key regions for flavour perception in the human brain; however, it is unclear how taste and congruent retronasal smell are perceived as flavours. The multisensory integration required for sour flavour perception has rarely been studied; therefore, we investigated the brain responses to taste and smell in the sour flavour-processing network in 35 young healthy adults. We aimed to characterise the brain response to three stimulations applied in the oral cavity—sour taste, retronasal smell of mango, and combined flavour of both—using functional magnetic resonance imaging. Effective connectivity of the flavour-processing network and modulatory effect from taste and smell were analysed. Flavour stimulation activated middle insula and olfactory tubercle (primary taste and olfactory cortices, respectively); anterior insula and rolandic operculum, which are associated with multisensory integration; and ventrolateral prefrontal cortex, a secondary cortex for flavour perception. Dynamic causal modelling demonstrated that neural taste and smell signals were integrated at anterior insula and rolandic operculum. These findings elucidated how neural signals triggered by sour taste and smell presented in liquid form interact in the brain, which may underpin the neurobiology of food appreciation. Our study thus demonstrated the integration and synergy of taste and smell.
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Affiliation(s)
- Justin Long Kiu Suen
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, China; (J.L.K.S.); (A.W.K.Y.); (W.K.L.)
- Department of Oral and Maxillofacial Radiology, Tokyo Dental College, 2-9-18, Kanda-Misakicho, Chiyoda-ku, Tokyo 101-0061, Japan
| | - Andy Wai Kan Yeung
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, China; (J.L.K.S.); (A.W.K.Y.); (W.K.L.)
| | - Ed X. Wu
- Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China;
| | - Wai Keung Leung
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, China; (J.L.K.S.); (A.W.K.Y.); (W.K.L.)
| | - Hiroki C. Tanabe
- Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan;
| | - Tazuko K. Goto
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, China; (J.L.K.S.); (A.W.K.Y.); (W.K.L.)
- Department of Oral and Maxillofacial Radiology, Tokyo Dental College, 2-9-18, Kanda-Misakicho, Chiyoda-ku, Tokyo 101-0061, Japan
- Tokyo Dental College Research Branding Project, Tokyo Dental College, 2-9-18, Kanda-Misakicho, Chiyoda-ku, Tokyo 101-0061, Japan
- Correspondence:
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Bortolini T, Melo B, Basilio R, Fischer R, Zahn R, de Oliveira-Souza R, Knutson B, Moll J. Striatal and septo-hypothalamic responses to anticipation and outcome of affiliative rewards. Neuroimage 2021; 243:118474. [PMID: 34407439 DOI: 10.1016/j.neuroimage.2021.118474] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 08/06/2021] [Accepted: 08/12/2021] [Indexed: 11/16/2022] Open
Abstract
Humans are intrinsically motivated to bond with others. The ability to experience affiliative emotions (such as affection/tenderness, sexual attraction, and admiration/awe) may incentivize and promote these affiliative bonds. Here, we interrogate the role of the critical reward circuitry, especially the Nucleus Accumbens (NAcc) and the septo-hypothalamic region, in the anticipation of and response to affiliative rewards using a novel incentive delay task. During Functional Magnetic Resonance Imaging (FMRI), participants (n = 23 healthy humans; 14 female) anticipated and watched videos involving affiliative (tenderness, erotic desire, and awe) and nonaffiliative (i.e., food) rewards, as well as neutral scenes. On the one hand, anticipation of both affiliative and nonaffiliative rewards increased activity in the NAcc, anterior insula, and supplementary motor cortex, but activity in the amygdala and the ventromedial prefrontal cortex (vmPFC) increased in response to reward outcomes. On the other hand, affiliative rewards more specifically increased activity in the septo-hypothalamic area. Moreover, NAcc activity during anticipation correlated with positive arousal for all rewards, whereas septo-hypothalamic activity during the outcome correlated with positive arousal and motivation for subsequent re-exposure only for affiliative rewards. Together, these findings implicate a general appetitive response in the NAcc to different types of rewards but suggests a more specific response in the septo-hypothalamic region in response to affiliative rewards outcomes. This work also presents a new task for distinguishing between neural responses to affiliative and non-affiliative rewards.
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Affiliation(s)
- Tiago Bortolini
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil.
| | - Bruno Melo
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil
| | - Rodrigo Basilio
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil
| | - Ronald Fischer
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; School of Psychology, PO Box 600, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Roland Zahn
- Centre for Affective Disorders, King's College London, SE5 8AF, United Kingdom
| | - Ricardo de Oliveira-Souza
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; The Federal University of the State of Rio de Janeiro, Rio de Janeiro 22270-000, Brazil
| | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; Department of Psychology, Stanford University, Stanford, CA 94305, USA; Scients Institute, Palo Alto, CA 94306, USA
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Abstract
Emotions can be defined as states elicited by rewards or punishments, and indeed the neurology of emotional disorders can be understood in terms of this foundation. The orbitofrontal cortex in humans and other primates is a critical area in emotion processing, determining the value of stimuli and whether they are rewarding or nonrewarding. The cortical processing that occurs before the orbitofrontal cortex primarily involves defining the identity of stimuli, i.e., "what" is present and not reward value. There is evidence that this holds true for taste, visual, somatosensory, and olfactory stimuli. The human medial orbitofrontal cortex is important in processing many different types of reward, and the lateral orbitofrontal cortex in processing nonreward and punishment. Humans with damage to the orbitofrontal cortex have an impaired ability to identify facial and voice expressions of emotions, and impaired subjective experience of emotion. They can have an altered personality and be impulsive because they are impaired at processing failures to receive expected rewards and at processing punishments. In humans, the role of the amygdala in the processing of emotions is reduced because of the great evolutionary development of the orbitofrontal cortex: amygdala damage has much less effect on emotion than does orbitofrontal cortex damage. The orbitofrontal cortex projects reward value information to the anterior cingulate cortex, which is involved in learning those actions required to obtain rewards and avoid punishments. The cingulate cortex thus provides an output route for emotional behavior. In depression, the medial orbitofrontal cortex has decreased connectivity and sensitivity to reward, and the lateral orbitofrontal cortex has increased connectivity and sensitivity to nonreward. The orbitofrontal cortex has major projections to the anterior cingulate cortex, including its subcommissural region, and the anterior cingulate cortex is also implicated in depression.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, United Kingdom; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
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Hébert-Seropian B, Boucher O, Jutras-Aswad D, Nguyen DK. Uncommon case of complete loss of hunger following an isolated left insular stroke. Neurocase 2021; 27:349-353. [PMID: 34397317 DOI: 10.1080/13554794.2021.1966044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
The insula has long been among the least understood regions of the human brain, in part due to its restricted accessibility. Mounting evidence suggests that the insula is a prominent player in gustatory, interoceptive, and emotional processing, and likely integrates these different functions to contribute to the homeostatic control of food intake. Here we report the case of a young adult patient who lost the subjective experience of hunger following an ischemic stroke localized in the posterior left insula. The loss of hunger was not attributable to medication, substance use, or a clinical disorder, and lasted for a period of 15 months. In line with the role attributed to the insula in gustation and interoception, we suggest that the insula integrates information about taste, interoception, and the hedonic value of food in the service of homeostatic regulation.
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Affiliation(s)
- Benjamin Hébert-Seropian
- Département de psychologie, Université du Québec à Montréal, Montreal, Quebec, Canada.,Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
| | - Olivier Boucher
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Département de psychologie, Université de Montréal, Montreal, Quebec, Canada.,Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada
| | - Didier Jutras-Aswad
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.,Département de psychiatrie et addictologie, Université de Montréal, Montreal, Quebec, Canada
| | - Dang Khoa Nguyen
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.,Département de neurosciences, Université de Montréal, Montreal, Quebec, Canada
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Kayyal H, Chandran SK, Yiannakas A, Gould N, Khamaisy M, Rosenblum K. Insula to mPFC reciprocal connectivity differentially underlies novel taste neophobic response and learning in mice. eLife 2021; 10:66686. [PMID: 34219650 PMCID: PMC8282338 DOI: 10.7554/elife.66686] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022] Open
Abstract
To survive in an ever-changing environment, animals must detect and learn salient information. The anterior insular cortex (aIC) and medial prefrontal cortex (mPFC) are heavily implicated in salience and novelty processing, and specifically, the processing of taste sensory information. Here, we examined the role of aIC-mPFC reciprocal connectivity in novel taste neophobia and memory formation, in mice. Using pERK and neuronal intrinsic properties as markers for neuronal activation, and retrograde AAV (rAAV) constructs for connectivity, we demonstrate a correlation between aIC-mPFC activity and novel taste experience. Furthermore, by expressing inhibitory chemogenetic receptors in these projections, we show that aIC-to-mPFC activity is necessary for both taste neophobia and its attenuation. However, activity within mPFC-to-aIC projections is essential only for the neophobic reaction but not for the learning process. These results provide an insight into the cortical circuitry needed to detect, react to- and learn salient stimuli, a process critically involved in psychiatric disorders.
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Affiliation(s)
- Haneen Kayyal
- Sagol Department of Neuroscience, University of Haifa, Mount Carmel, Israel
| | | | - Adonis Yiannakas
- Sagol Department of Neuroscience, University of Haifa, Mount Carmel, Israel
| | - Nathaniel Gould
- Sagol Department of Neuroscience, University of Haifa, Mount Carmel, Israel
| | - Mohammad Khamaisy
- Sagol Department of Neuroscience, University of Haifa, Mount Carmel, Israel
| | - Kobi Rosenblum
- Sagol Department of Neuroscience, University of Haifa, Mount Carmel, Israel.,Center for Gene Manipulation in the Brain, University of Haifa, Mount Carmel, Israel
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Hébert-Seropian B, Boucher O, Citherlet D, Roy-Côté F, Gravel V, Obaid S, Bouthillier A, Nguyen DK. Decreased self-reported appetite following insular cortex resection in patients with epilepsy. Appetite 2021; 166:105479. [PMID: 34186157 DOI: 10.1016/j.appet.2021.105479] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 06/17/2021] [Accepted: 06/21/2021] [Indexed: 01/10/2023]
Abstract
Entrenched deep within the Sylvian fissure, the insula has long been considered one of the least understood regions of the human brain, in part due to its restricted accessibility. However, recent evidence suggests that the insula plays a key role in gustation, interoception, cognitive and emotional processes, and likely integrates these different functions to contribute to the homeostatic control of food intake. In the past decade, our team has identified the insula as a potential site of epileptogenicity, which can be successfully treated by microsurgical resection. While most surgeries are successful in controlling insular epileptic seizures and lead to few postoperative deficits, the subtle changes that may occur in food-related experiences are still unknown. Using a self-report questionnaire, the present study sought to fill this gap by assessing changes in appetite in patients who underwent unilateral partial or complete insular resections (n = 17) as part of their epilepsy surgery. We compared them to a group of patients who underwent temporal lobe epilepsy surgery (n = 22) as a lesion-control group. A majority (59%) of the insular patients reported an alteration in appetite, with most of these changes being characterized by a persistent reduction. Such changes were rarely reported following temporal lobectomy (14%). While they significantly differed in terms of appetite changes, both groups were similar when examining post-surgical changes in weight, diet, exercise and eating habits. Insular patients with altered appetite also showed behavioral signs of dysfunctional interoceptive and gustatory functions, corroborating the idea that these systems play a role in the regulation of feeding behaviours. This research pushes our understanding of the mechanisms underlying food intake and could lead to avenues for the treatment of eating disorders.
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Affiliation(s)
- Benjamin Hébert-Seropian
- Département de psychologie, Université du Québec à Montréal, Montreal, QC, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Olivier Boucher
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada; Département de psychologie, Université de Montréal, Montreal, QC, Canada; Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
| | - Daphné Citherlet
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada; Département de neurosciences, Université de Montréal, Montreal, QC, Canada
| | - Frédérique Roy-Côté
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada; Département de psychologie, Université de Montréal, Montreal, QC, Canada
| | - Victoria Gravel
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada; Département de psychologie, Université de Montréal, Montreal, QC, Canada
| | - Sami Obaid
- Division de neurochirurgie, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada; Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
| | - Alain Bouthillier
- Division de neurochirurgie, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada; Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
| | - Dang Khoa Nguyen
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada; Département de neurosciences, Université de Montréal, Montreal, QC, Canada; Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada.
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He L, Wei D, Yang F, Zhang J, Cheng W, Feng J, Yang W, Zhuang K, Chen Q, Ren Z, Li Y, Wang X, Mao Y, Chen Z, Liao M, Cui H, Li C, He Q, Lei X, Feng T, Chen H, Xie P, Rolls ET, Su L, Li L, Qiu J. Functional Connectome Prediction of Anxiety Related to the COVID-19 Pandemic. Am J Psychiatry 2021; 178:530-540. [PMID: 33900813 DOI: 10.1176/appi.ajp.2020.20070979] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Increased anxiety in response to the COVID-19 pandemic has been widely noted. The purpose of this study was to test whether the prepandemic functional connectome predicted individual anxiety induced by the pandemic. METHODS Anxiety scores from healthy undergraduate students were collected during the severe and remission periods of the pandemic (first survey, February 22-28, 2020, N=589; second survey, April 24 to May 1, 2020, N=486). Brain imaging data and baseline (daily) anxiety ratings were acquired before the pandemic. The predictive performance of the functional connectome on individual anxiety was examined using machine learning and was validated in two external undergraduate student samples (N=149 and N=474). The clinical relevance of the findings was further explored by applying the connectome-based neuromarkers of pandemic-related anxiety to distinguish between individuals with specific mental disorders and matched healthy control subjects (generalized anxiety disorder, N=43; major depression, N=536; schizophrenia, N=72). RESULTS Anxiety scores increased from the prepandemic baseline to the severe stage of the pandemic and remained high in the remission stage. The prepandemic functional connectome predicted pandemic-related anxiety and generalized to the external sample but showed poor performance for predicting daily anxiety. The connectome-based neuromarkers of pandemic-related anxiety further distinguished between participants with generalized anxiety and healthy control subjects but were not useful for diagnostic classification in major depression and schizophrenia. CONCLUSIONS These findings demonstrate the feasibility of using the functional connectome to predict individual anxiety induced by major stressful events (e.g., the current global health crisis), which advances our understanding of the neurobiological basis of anxiety susceptibility and may have implications for developing targeted psychological and clinical interventions that promote the reduction of stress and anxiety.
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Affiliation(s)
- Li He
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Fan Yang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Jie Zhang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Wei Cheng
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Jianfeng Feng
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Wenjing Yang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Kaixiang Zhuang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Zhiting Ren
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Yu Li
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Xiaoqin Wang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Yu Mao
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Zhiyi Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Mei Liao
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Huiru Cui
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Chunbo Li
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Qinghua He
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Xu Lei
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Hong Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Peng Xie
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Edmund T Rolls
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Linyan Su
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Lingjiang Li
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China (He, Wei, W. Yang, Zhuang, Q. Chen, Ren, Y. Li, Wang, Mao, Z. Chen, Q. He, Lei, T. Feng, H. Chen, Qiu); Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (F. Yang); Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Zhang, Cheng, J. Feng); Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, China (Liao, Su, L. Li,); Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Cui, C. Li); Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (Xie); Oxford Center for Computational Neuroscience, Oxford, U.K. (Rolls); Department of Computer Science, University of Warwick, Coventry, U.K. (Rolls); and Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China (Qiu)
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Altered glucose metabolism of the olfactory-related cortices in anosmia patients with traumatic brain injury. Eur Arch Otorhinolaryngol 2021; 278:4813-4821. [PMID: 33744988 DOI: 10.1007/s00405-021-06754-0] [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: 01/17/2021] [Accepted: 03/11/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Impaired brain cortices contribute significantly to the pathophysiological mechanisms of post-traumatic olfactory dysfunction (PTOD). This study aimed to use 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) to measure cerebral cortices' metabolism activity and then to explore their associations with olfaction in patients with PTOD. METHODS Ethics committee-approved prospective studies included 15 patients with post-traumatic anosmia and 11 healthy volunteers. Olfactory function was assessed using the Sniffin' Sticks. Participants underwent 18F-FDG PET/CT scan and the image data were collected for the voxel-based whole brain analysis. Furthermore, the standardized uptake value ratio (SUVR) of the whole brain regions was measured and correlated with olfactory function. RESULTS Patients with post-traumatic anosmia showed significantly reduced glucose metabolism in bilateral rectus, bilateral superior and medial orbitofrontal cortex (OFC), bilateral thalamus, left hippocampus and parahippocampus and left superior temporal pole (all p < 0.001). In contrast, patients with post-traumatic anosmia had significantly increased glucose metabolism in the bilateral insula (all p < 0.001). SUVR values among a total of 17 cerebral cortices including frontal, limbic, and temporal regions were significantly and positively correlated with olfactory function. The cerebral cortices with the top three correlations were the right middle frontal OFC (r = 0.765, p = 0.001), right caudate (r = 0.652, p = 0.010) and right putamen (r = 0.623, p = 0.002). CONCLUSION Patients with post-traumatic anosmia presented with distinct patterns of brain metabolism and key cortices that highly associated with the retained olfactory function were identified. The preliminary results further support the potential use of PET imaging for precisely assessing brain metabolism in patients with PTOD.
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Eldeghaidy S, Yang Q, Abualait T, Williamson AM, Hort J, Francis ST. Thermal taster status: Temperature modulation of cortical response to sweetness perception. Physiol Behav 2021; 230:113266. [PMID: 33246000 DOI: 10.1016/j.physbeh.2020.113266] [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: 09/28/2020] [Revised: 11/19/2020] [Accepted: 11/21/2020] [Indexed: 10/22/2022]
Abstract
Temperature is known to impact taste perception, but its reported effect on sweet taste perception in humans is inconsistent. Here, we assess whether thermal taste phenotype alters the temperature modulation of the brains' response to sweet samples and sweet taste perception. Participants (n = 24 balanced for thermal tasters (TT) and thermal non-tasters (TnT), 25 ± 7 years (mean ± SD), 10 males) underwent a thermal taste phenotyping session to study responses to cooling and warming of the tongue using a thermode. In a separate session, functional Magnetic Resonance Images (fMRI) were collected during sweet samples (87 mM sucrose) delivery at two temperatures ('cold' (5 ± 2 °C) and 'ambient' (20 ± 2 °C)) and the perceived sweetness intensity rated.In the phenotyping session, TTs had heightened perceptual temperature sensitivity to cooling and warming of the tongue using a thermode compared to TnTs. Although there was no significant effect during the fMRI session, the fMRI response to the 'cold sweet' sample across all participants was significantly increased in anterior insula/frontal operculum and mid-insula compared to the 'ambient sweet' sample, likely to reflect the perceptual difference to temperature rather than taste perception. TTs showed significantly increased fMRI activation patterns compared with TnTs and an interaction effect between thermal taster status and sample temperature, with TTs showing selectively greater cortical responses to 'cold sweet' samples compared to TnTs in somatosensory regions (SI and SII).The increase in cortical activation in somatosensory cortices to the 'cold sweet' stimulus correlated with perceptual ratings of temperature sensitivity to the thermode. The results highlight the importance of investigating the effects of thermal taster phenotype across a range of temperatures representing the reality of consumer consumption to beverages.
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Affiliation(s)
- Sally Eldeghaidy
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; Division of Food, Nutrition & Dietetics, and Future Food Beacon, School of Biosciences, University of Nottingham, Loughborough LE12 5RD, United Kingdom
| | - Qian Yang
- Sensory Science Centre, School of Biosciences, Sutton Bonington Campus, University of Nottingham, Loughborough LE12 5RD, United Kingdom
| | - Turki Abualait
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | | | - Joanne Hort
- Sensory Science Centre, School of Biosciences, Sutton Bonington Campus, University of Nottingham, Loughborough LE12 5RD, United Kingdom; Feast & Riddet Institute, Massey University, Palmerston North 4410, New Zealand
| | - Susan T Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom.
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Spaccasassi C, Frigione I, Maravita A. Bliss in and Out of the Body: The (Extra)Corporeal Space Is Impervious to Social Pleasant Touch. Brain Sci 2021; 11:brainsci11020225. [PMID: 33673297 PMCID: PMC7917648 DOI: 10.3390/brainsci11020225] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/08/2021] [Accepted: 02/10/2021] [Indexed: 11/16/2022] Open
Abstract
Slow, gentle stimulation of hairy skin is generally accompanied by hedonic sensations. This phenomenon, also known as (positive) affective touch, is likely to be the basis of affiliative interactions with conspecifics by promoting inter-individual bindings. Previous studies on healthy humans have demonstrated that affective touch can remarkably impact behavior. For instance, by administering the Rubber Hand Illusion (RHI) paradigm, the embodiment of a fake hand enhances after a slow, affective touch compared to a fast, neutral touch. However, results coming from this area are not univocal. In addition, there are no clues in the existing literature on the relationship between affective touch and the space around our body. To overcome these lacks, we carried out two separate experiments where participants underwent a RHI paradigm (Experiment 1) and a Visuo-Tactile Interaction task (Experiment 2), designed to tap into body representation and peripersonal space processing, respectively. In both experiments, an affective touch (CT-optimal, 3 cm/s) and neutral touch (CT-suboptimal, 18 cm/s) were delivered by the experimenter on the dorsal side of participants’ hand through a “skin to skin” contact. In Experiment 1, we did not find any modulation of body representation—not at behavioral nor at a physiological level—by affective touch. In Experiment 2, no visuo-tactile spatial modulation emerged depending upon the pleasantness of the touch received. These null findings are interpreted in the light of the current scientific context where the real nature of affective touch is often misguided, and they offer the possibility to pave the way for understanding the real effects of affective touch on body/space representation.
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Affiliation(s)
- Chiara Spaccasassi
- Centre for Studies and Research in Cognitive Neuroscience, ‘Alma Mater Studiorum’, Department of Psychology, Cesena Campus, Bologna University, 47521 Cesena, Italy
- Correspondence:
| | - Ivana Frigione
- Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo 1, 20126 Milano, Italy; (I.F.); (A.M.)
| | - Angelo Maravita
- Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo 1, 20126 Milano, Italy; (I.F.); (A.M.)
- Milan Centre for Neurosciences, 20126 Milano, Italy
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Viewing images of foods evokes taste quality-specific activity in gustatory insular cortex. Proc Natl Acad Sci U S A 2021; 118:2010932118. [PMID: 33384331 DOI: 10.1073/pnas.2010932118] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Previous studies have shown that the conceptual representation of food involves brain regions associated with taste perception. The specificity of this response, however, is unknown. Does viewing pictures of food produce a general, nonspecific response in taste-sensitive regions of the brain? Or is the response specific for how a particular food tastes? Building on recent findings that specific tastes can be decoded from taste-sensitive regions of insular cortex, we asked whether viewing pictures of foods associated with a specific taste (e.g., sweet, salty, and sour) can also be decoded from these same regions, and if so, are the patterns of neural activity elicited by the pictures and their associated tastes similar? Using ultrahigh-resolution functional magnetic resonance imaging at high magnetic field strength (7-Tesla), we were able to decode specific tastes delivered during scanning, as well as the specific taste category associated with food pictures within the dorsal mid-insula, a primary taste responsive region of brain. Thus, merely viewing food pictures triggers an automatic retrieval of specific taste quality information associated with the depicted foods, within gustatory cortex. However, the patterns of activity elicited by pictures and their associated tastes were unrelated, thus suggesting a clear neural distinction between inferred and directly experienced sensory events. These data show how higher-order inferences derived from stimuli in one modality (i.e., vision) can be represented in brain regions typically thought to represent only low-level information about a different modality (i.e., taste).
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Song SY, Zhai XM, Dai JH, Lu LL, Shan CJ, Hong J, Cao JL, Zhang LC. The CSF-Contacting Nucleus Receives Anatomical Inputs From the Cerebral Cortex: A Combination of Retrograde Tracing and 3D Reconstruction Study in Rat. Front Neuroanat 2020; 14:600555. [PMID: 33328908 PMCID: PMC7714914 DOI: 10.3389/fnana.2020.600555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 10/22/2020] [Indexed: 11/13/2022] Open
Abstract
Objective This study aimed to investigate the direct monosynaptic projections from cortical functional regions to the cerebrospinal fluid (CSF)-contacting nucleus for understanding the functions of the CSF-contacting nucleus. Methods The Sprague-Dawley rats received cholera toxin B subunit (CB) injections into the CSF-contacting nucleus. After 7-10 days of survival time, the rats were perfused, and the whole brain and spinal cord were sliced under a freezing microtome at 40 μm. All sections were treated with the CB immunofluorescence reaction. The retrogradely labeled neurons in different cortical areas were revealed under a confocal microscope. The distribution features were further illustrated under 3D reconstruction. Results The retrogradely labeled neurons were identified in the olfactory, orbital, cingulate, insula, retrosplenial, somatosensory, motor, visual, auditory, association, rhinal, and parietal cortical areas. A total of 12 functional areas and 34 functional subregions showed projections to the CSF-contacting nucleus in different cell intensities. Conclusion According to the connectivity patterns, we conclude that the CSF-contacting nucleus participates in cognition, emotion, pain, visceral activity, etc. The present study firstly reveals the cerebral cortex→CSF-contacting nucleus connections, which implies the multiple functions of this special nucleus in neural and body fluid regulations.
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Affiliation(s)
- Si-Yuan Song
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Xiao-Meng Zhai
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jia-Hao Dai
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Lei-Lei Lu
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Cheng-Jing Shan
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jia Hong
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jun-Li Cao
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Li-Cai Zhang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
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Morales I, Berridge KC. 'Liking' and 'wanting' in eating and food reward: Brain mechanisms and clinical implications. Physiol Behav 2020; 227:113152. [PMID: 32846152 PMCID: PMC7655589 DOI: 10.1016/j.physbeh.2020.113152] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 01/02/2023]
Abstract
It is becoming clearer how neurobiological mechanisms generate 'liking' and 'wanting' components of food reward. Mesocorticolimbic mechanisms that enhance 'liking' include brain hedonic hotspots, which are specialized subregions that are uniquely able to causally amplify the hedonic impact of palatable tastes. Hedonic hotspots are found in nucleus accumbens medial shell, ventral pallidum, orbitofrontal cortex, insula cortex, and brainstem. In turn, a much larger mesocorticolimbic circuitry generates 'wanting' or incentive motivation to obtain and consume food rewards. Hedonic and motivational circuitry interact together and with hypothalamic homeostatic circuitry, allowing relevant physiological hunger and satiety states to modulate 'liking' and 'wanting' for food rewards. In some conditions such as drug addiction, 'wanting' is known to dramatically detach from 'liking' for the same reward, and this may also occur in over-eating disorders. Via incentive sensitization, 'wanting' selectively becomes higher, especially when triggered by reward cues when encountered in vulnerable states of stress, etc. Emerging evidence suggests that some cases of obesity and binge eating disorders may reflect an incentive-sensitization brain signature of cue hyper-reactivity, causing excessive 'wanting' to eat. Future findings on the neurobiological bases of 'liking' and 'wanting' can continue to improve understanding of both normal food reward and causes of clinical eating disorders.
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Affiliation(s)
- Ileana Morales
- Department of Psychology, University of Michigan, Ann Arbor, Michigan 48109-1043, United States.
| | - Kent C Berridge
- Department of Psychology, University of Michigan, Ann Arbor, Michigan 48109-1043, United States
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Rolls ET, Vatansever D, Li Y, Cheng W, Feng J. Rapid Rule-Based Reward Reversal and the Lateral Orbitofrontal Cortex. Cereb Cortex Commun 2020; 1:tgaa087. [PMID: 34296143 PMCID: PMC8152898 DOI: 10.1093/texcom/tgaa087] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 11/04/2020] [Accepted: 11/10/2020] [Indexed: 12/14/2022] Open
Abstract
Humans and other primates can reverse their choice of stimuli in one trial when the rewards delivered by the stimuli change or reverse. Rapidly changing our behavior when the rewards change is important for many types of behavior, including emotional and social behavior. It is shown in a one-trial rule-based Go-NoGo deterministic visual discrimination reversal task to obtain points, that the human right lateral orbitofrontal cortex and adjoining inferior frontal gyrus is activated on reversal trials, when an expected reward is not obtained, and the non-reward allows the human to switch choices based on a rule. This reward reversal goes beyond model-free reinforcement learning. This functionality of the right lateral orbitofrontal cortex shown here in very rapid, one-trial, rule-based changes in human behavior when a reward is not received is related to the emotional and social changes that follow orbitofrontal cortex damage, and to depression in which this non-reward system is oversensitive and over-connected.
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Affiliation(s)
- Edmund T Rolls
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.,Oxford Centre for Computational Neuroscience, Oxford, UK.,Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
| | - Deniz Vatansever
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Yuzhu Li
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.,Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
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50
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Rolls ET, Cheng W, Feng J. The orbitofrontal cortex: reward, emotion and depression. Brain Commun 2020; 2:fcaa196. [PMID: 33364600 PMCID: PMC7749795 DOI: 10.1093/braincomms/fcaa196] [Citation(s) in RCA: 161] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 08/13/2020] [Accepted: 10/13/2020] [Indexed: 12/11/2022] Open
Abstract
The orbitofrontal cortex in primates including humans is the key brain area in emotion, and in the representation of reward value and in non-reward, that is not obtaining an expected reward. Cortical processing before the orbitofrontal cortex is about the identity of stimuli, i.e. 'what' is present, and not about reward value. There is evidence that this holds for taste, visual, somatosensory and olfactory stimuli. The human medial orbitofrontal cortex represents many different types of reward, and the lateral orbitofrontal cortex represents non-reward and punishment. Not obtaining an expected reward can lead to sadness, and feeling depressed. The concept is advanced that an important brain region in depression is the orbitofrontal cortex, with depression related to over-responsiveness and over-connectedness of the non-reward-related lateral orbitofrontal cortex, and to under-responsiveness and under-connectivity of the reward-related medial orbitofrontal cortex. Evidence from large-scale voxel-level studies and supported by an activation study is described that provides support for this hypothesis. Increased functional connectivity of the lateral orbitofrontal cortex with brain areas that include the precuneus, posterior cingulate cortex and angular gyrus is found in patients with depression and is reduced towards the levels in controls when treated with medication. Decreased functional connectivity of the medial orbitofrontal cortex with medial temporal lobe areas involved in memory is found in patients with depression. Some treatments for depression may act by reducing activity or connectivity of the lateral orbitofrontal cortex. New treatments that increase the activity or connectivity of the medial orbitofrontal cortex may be useful for depression. These concepts, and that of increased activity in non-reward attractor networks, have potential for advancing our understanding and treatment of depression. The focus is on the orbitofrontal cortex in primates including humans, because of differences of operation of the orbitofrontal cortex, and indeed of reward systems, in rodents. Finally, the hypothesis is developed that the orbitofrontal cortex has a special role in emotion and decision-making in part because as a cortical area it can implement attractor networks useful in maintaining reward and emotional states online, and in decision-making.
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Affiliation(s)
- Edmund T Rolls
- Oxford Centre for Computational Neuroscience, Oxford, UK
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China
- School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China
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