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Fateh AA, Smahi A, Hassan M, Mo T, Hu Z, Mohammed AAQ, Hu Y, Massé CC, Chen L, Chen Y, Liao J, Zeng H. From brain connectivity to cognitive function: Dissecting the salience network in pediatric BECTS-ESES. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111110. [PMID: 39069247 DOI: 10.1016/j.pnpbp.2024.111110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 07/19/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Benign childhood epilepsy with centrotemporal spikes (BECTS), a common pediatric epilepsy, may lead to cognitive decline when compounded by Electrical Status Epilepticus during Sleep (ESES). Emerging evidence suggests that disruptions in the Salience Network (SN) contribute significantly to the cognitive deficits observed in BECTS-ESES. Our study rigorously investigates the dynamic functional connectivity (dFC) within the SN and its correlation with cognitive impairments in BECTS-ESES, employing advanced neuroimaging and neuropsychological assessments. METHODS In this research, 45 patients diagnosed with BECTS-ESES and 55 age-matched healthy controls (HCs) participated. We utilized resting-state functional magnetic resonance imaging (fMRI) and Independent Component Analysis (ICA) to identify three fundamental SN nodes: the right Anterior Insula (rAI), left Anterior Insula (lAI), and the Anterior Cingulate Cortex (ACC). A two-sample t-test facilitated the comparison of dFC between these pivotal regions and other brain areas. RESULTS Significantly, the BECTS-ESES group demonstrated increased dFC, particularly between the ACC and the right Middle Occipital Gyrus, and from the rAI to the right Superior Parietal Gyrus and Cerebellum, and from the lAI to the left Postcentral Gyrus. Such dFC augmentations provide neural insights potentially explaining the neuropsychological deficits in BECTS-ESES children. Employing comprehensive neuropsychological evaluations, we mapped these dFC disruptions to specific cognitive impairments encompassing memory, executive functioning, language, and attention. Through multiple regression analysis and path analysis, a preliminary but compelling association was discovered linking dFC disturbances directly to cognitive impairments. These findings underscore the critical role of SN disruptions in BECTS-ESES cognitive dysfunctions. LIMITATION Our cross-sectional design and analytic methods preclude definitive mediation models and causal inferences, leaving the precise nature of dFC's mediating role and its direct impact by BECTS-ESES partially unresolved. Future longitudinal and confirmatory studies are needed to comprehensively delineate these associations. CONCLUSION Our study heralds dFC within the SN as a vital biomarker for cognitive impairment in pediatric epilepsy, advocating for targeted cognitive-specific interventions in managing BECTS-ESES. The preliminary nature of our findings invites further studies to substantiate these associations, offering profound implications for the prognosis and therapeutic strategies in BECTS-ESES, thereby underlining the importance of this research in the field of pediatric neurology and epilepsy management.
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Affiliation(s)
- Ahmed Ameen Fateh
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Abla Smahi
- Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Muhammad Hassan
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Tong Mo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Zhanqi Hu
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Adam A Q Mohammed
- School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
| | - Yan Hu
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Cristina Cañete Massé
- Psychology, Sciences of Education and Sport, Blanquerna, Ramon Llull University, Barcelona, Spain; Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain
| | - Li Chen
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Yan Chen
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Jianxiang Liao
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China.
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Kaldewaij R, Salamone PC, Enmalm A, Östman L, Pietrzak M, Karlsson H, Löfberg A, Gauffin E, Samuelsson M, Gustavson S, Capusan AJ, Olausson H, Heilig M, Boehme R. Ketamine reduces the neural distinction between self- and other-produced affective touch: a randomized double-blind placebo-controlled study. Neuropsychopharmacology 2024; 49:1767-1774. [PMID: 38918578 PMCID: PMC11399133 DOI: 10.1038/s41386-024-01906-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 06/07/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024]
Abstract
A coherent sense of self is crucial for social functioning and mental health. The N-methyl-D-aspartate antagonist ketamine induces short-term dissociative experiences and has therefore been used to model an altered state of self-perception. This randomized double-blind placebo-controlled cross-over study investigated the mechanisms for ketamine's effects on the bodily sense of self in the context of affective touch. Thirty healthy participants (15 females/15 males, age 19-39) received intravenous ketamine or placebo while performing self-touch and receiving touch by someone else during functional MRI - a previously established neural measure of tactile self-other-differentiation. Afterwards, tactile detection thresholds during self- and other-touch were assessed, as well as dissociative states, interoceptive awareness, and social touch attitudes. Compared to placebo, ketamine administration elicited dissociation and reduced neural activity associated with self-other-differentiation in the right temporoparietal cortex, which was most pronounced during other-touch. This reduction correlated with ketamine-induced reductions in interoceptive awareness. The temporoparietal cortex showed higher connectivity to somatosensory cortex and insula during other- compared to self-touch. This difference was augmented by ketamine, and correlated with dissociation strength for somatosensory cortex. These results demonstrate that disrupting the self-experience through ketamine administration affects neural activity associated with self-other-differentiation in a region involved in touch perception and social cognition, especially with regard to social touch by someone else. This process may be driven by ketamine-induced effects on top-down signaling, rendering the processing of predictable self-generated and unpredictable other-generated touch more similar. These findings provide further evidence for the intricate relationship of the bodily self with the tactile sense.
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Affiliation(s)
- Reinoud Kaldewaij
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
| | - Paula C Salamone
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Adam Enmalm
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Lars Östman
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Michal Pietrzak
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Hanna Karlsson
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Andreas Löfberg
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Emelie Gauffin
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Martin Samuelsson
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Sarah Gustavson
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Andrea J Capusan
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Håkan Olausson
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Markus Heilig
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Rebecca Boehme
- Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
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3
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Candia-Rivera D, Engelen T, Babo-Rebelo M, Salamone PC. Interoception, network physiology and the emergence of bodily self-awareness. Neurosci Biobehav Rev 2024; 165:105864. [PMID: 39208877 DOI: 10.1016/j.neubiorev.2024.105864] [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: 06/28/2024] [Revised: 08/06/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
The interplay between the brain and interoceptive signals is key in maintaining internal balance and orchestrating neural dynamics, encompassing influences on perceptual and self-awareness. Central to this interplay is the differentiation between the external world, others and the self, a cornerstone in the construction of bodily self-awareness. This review synthesizes physiological and behavioral evidence illustrating how interoceptive signals can mediate or influence bodily self-awareness, by encompassing interactions with various sensory modalities. To deepen our understanding of the basis of bodily self-awareness, we propose a network physiology perspective. This approach explores complex neural computations across multiple nodes, shifting the focus from localized areas to large-scale neural networks. It examines how these networks operate in parallel with and adapt to changes in visceral activities. Within this framework, we propose to investigate physiological factors that disrupt bodily self-awareness, emphasizing the impact of interoceptive pathway disruptions, offering insights across several clinical contexts. This integrative perspective not only can enhance the accuracy of mental health assessments but also paves the way for targeted interventions.
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Affiliation(s)
- Diego Candia-Rivera
- Sorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INSERM U1127, Hôpital de la Pitié-Salpêtrière AP-HP, Inria Paris, 75013, Paris, France.
| | - Tahnée Engelen
- Department of Psychology and Centre for Interdisciplinary Brain Research, University of Jyväskylä, Mattilanniemi 6, Jyväskylä FI-40014, Finland
| | - Mariana Babo-Rebelo
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
| | - Paula C Salamone
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
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Evans LC, Dailey-Krempel B, Lauar MR, Dayton A, Vulchanova L, Osborn JW. Renal interoception in health and disease. Auton Neurosci 2024; 255:103208. [PMID: 39128142 DOI: 10.1016/j.autneu.2024.103208] [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: 04/17/2024] [Revised: 07/19/2024] [Accepted: 07/26/2024] [Indexed: 08/13/2024]
Abstract
Catheter based renal denervation has recently been FDA approved for the treatment of hypertension. Traditionally, the anti-hypertensive effects of renal denervation have been attributed to the ablation of the efferent sympathetic renal nerves. In recent years the role of the afferent sensory renal nerves in the regulation of blood pressure has received increased attention. In addition, afferent renal denervation is associated with reductions in sympathetic nervous system activity. This suggests that reductions in sympathetic drive to organs other than the kidney may contribute to the non-renal beneficial effects observed in clinical trials of catheter based renal denervation. In this review we will provide an overview of the role of the afferent renal nerves in the regulation of renal function and the development of pathophysiologies, both renal and non-renal. We will also describe the central projections of the afferent renal nerves, to give context to the responses seen following their ablation and activation. Finally, we will discuss the emerging role of the kidney as an interoceptive organ. We will describe the potential role of the kidney in the regulation of interoceptive sensitivity and in this context, speculate on the possible pathological consequences of altered renal function.
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Affiliation(s)
- Louise C Evans
- Department of Surgery, University of Minnesota Medical School, Minneapolis 55455, United States of America
| | - Brianna Dailey-Krempel
- Department of Neuroscience, University of Minnesota, Minneapolis 55455, United States of America
| | - Mariana R Lauar
- Department of Surgery, University of Minnesota Medical School, Minneapolis 55455, United States of America
| | - Alex Dayton
- Division of Nephrology and Hypertension, University of Minnesota Medical School, Minneapolis 55455, United States of America
| | - Lucy Vulchanova
- Department of Neuroscience, University of Minnesota, Minneapolis 55455, United States of America
| | - John W Osborn
- Department of Surgery, University of Minnesota Medical School, Minneapolis 55455, United States of America.
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5
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Li W, Wang Y, Wang J, Wang M, Liu J, Chen Q, Yang Z, Li Z, Wu G, Wang Z, Zhang P, Tang L. Bulimia nervosa selectively reshapes the structure and intrinsic function of anterior insula subregions associated with cognition-emotion integration. J Affect Disord 2024; 362:529-535. [PMID: 39013519 DOI: 10.1016/j.jad.2024.07.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 06/17/2024] [Accepted: 07/12/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND Existing evidence suggests that anterior insula plays a crucial role in cognitive control and emotional regulation and is implicated in the onset and maintenance of bulimia nervosa (BN). However, it remains unclear how structural and functional abnormalities in specific subregions of anterior insula contribute to BN. METHODS In this study, we analyzed structural MRI and resting-state functional MRI data from 54 BN patients and 56 healthy controls (HCs). We conducted voxel-based morphometry, amplitude of low frequency fluctuation (conventional band: 0.01-0.08 Hz, slow-5: 0.01-0.027 Hz) and seed-based whole-brain functional connectivity (FC) analysis of the anterior insula subregions for both groups. Additionally, we investigated the correlation between neuroimaging findings and clinical characteristics in the BN group. RESULTS Our findings revealed that BN patients exhibited reduced gray matter volume in the right dorsal anterior insula (dAI) and bilateral ventral anterior insula (vAI) and demonstrated decreased ALFF in slow-5 band of bilateral dAI. The BN group also showed increased FC between bilateral dAI and precuneus or right superior frontal gyri which significantly correlated with the severity of BN or its key symptom. In addition, the decreased FC between bilateral vAI and anterior cingulate and paracingulate gyri and/or median cingulate and paracingulate gyri were both significantly correlated with the severity and its restrained eating behavior. CONCLUSIONS Our findings further indicate that the functional separation of anterior insula subregions may underlie the pathophysiology of BN. Notably, the vAI associated with emotional processing may serve as a promising neuroimaging biomarker which could inform therapeutic strategy.
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Affiliation(s)
- Weihua Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China
| | - Yiling Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China
| | - Jiani Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China
| | - Miao Wang
- Chinese Institute for Brain Research, No. 26 Science Park Road, Changping District, Beijing 102200, China
| | - Jing Liu
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China
| | - Qian Chen
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China
| | - Zhanjiang Li
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China
| | - Guowei Wu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing 100000, China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China.
| | - Peng Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing 100050, China.
| | - Lirong Tang
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China.
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6
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Diao Y, Wang H, Wang X, Qiu C, Wang Z, Ji Z, Wang C, Gu J, Liu C, Wu K, Wang C. Discriminative analysis of schizophrenia and major depressive disorder using fNIRS. J Affect Disord 2024; 361:256-267. [PMID: 38862077 DOI: 10.1016/j.jad.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Research into the shared and distinct brain dysfunctions in patients with schizophrenia (SCZ) and major depressive disorder (MDD) has been increasing. However, few studies have explored the application of functional near-infrared spectroscopy (fNIRS) in investigating brain dysfunction and enhancing diagnostic methodologies in these two conditions. METHODS A general linear model was used for analysis of brain activation following task-state fNIRS from 131 patients with SCZ, 132 patients with MDD and 130 healthy controls (HCs). Subsequently, seventy-seven time-frequency analysis methods were used to construct new features of fNIRS, followed by the implementation of five machine learning algorithms to develop a differential diagnosis model for the three groups. This model was evaluated by comparing it to both a diagnostic model relying on traditional fNIRS features and assessments made by two psychiatrists. RESULTS Brain activation analysis revealed significantly lower activation in Broca's area, the dorsolateral prefrontal cortex, and the middle temporal gyrus for both the SCZ and MDD groups compared to HCs. Additionally, the SCZ group exhibited notably lower activation in the superior temporal gyrus and the subcentral gyrus compared to the MDD group. When distinguishing among the three groups using independent validation datasets, the models utilizing new fNIRS features achieved an accuracy of 85.90 % (AUC = 0.95). In contrast, models based on traditional fNIRS features reached an accuracy of 52.56 % (AUC = 0.66). The accuracies of the two psychiatrists were 42.00 % (AUC = 0.60) and 38.00 % (AUC = 0.50), respectively. CONCLUSION This investigation brings to light the shared and distinct neurobiological abnormalities present in SCZ and MDD, offering potential enhancements for extant diagnostic systems.
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Affiliation(s)
- Yunheng Diao
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Huiying Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Brain Institute, Henan Academy of Innovations in Medical Science, Zhengzhou 451163, PR China
| | - Xinyu Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Chen Qiu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Zitian Wang
- School of Future Technology, Xi'an JiaoTong University, Xi'an, Shanxi 710049, PR China
| | - Ziyang Ji
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Chao Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Jingyang Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, PR China; Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, PR China
| | - Cong Liu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, PR China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.
| | - Changhong Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Cloud Platform and Application Research Center for Psychological Assistance, Xinxiang, Henan 453002, PR China; Henan Key Laboratory for Sleep Medicine, Xinxiang, Henan 453002, PR China.
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Leupin V, Britz J. Interoceptive signals shape the earliest markers and neural pathway to awareness at the visual threshold. Proc Natl Acad Sci U S A 2024; 121:e2311953121. [PMID: 39226342 DOI: 10.1073/pnas.2311953121] [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: 07/17/2023] [Accepted: 05/28/2024] [Indexed: 09/05/2024] Open
Abstract
Variations in interoceptive signals from the baroreceptors (BRs) across the cardiac and respiratory cycle can modulate cortical excitability and so affect awareness. It remains debated at what stages of processing they affect awareness-related event-related potentials (ERPs) in different sensory modalities. We investigated the influence of the cardiac (systole/diastole) and the respiratory (inhalation/exhalation) phase on awareness-related ERPs. Subjects discriminated visual threshold stimuli while their electroencephalogram, electrocardiogram, and respiration were simultaneously recorded. We compared ERPs and their intracranial generators for stimuli classified correctly with and without awareness as a function of the cardiac and respiratory phase. Cyclic variations of interoceptive signals from the BRs modulated both the earliest electrophysiological markers and the trajectory of brain activity when subjects became aware of the stimuli: an early sensory component (P1) was the earliest marker of awareness for low (diastole/inhalation) and a perceptual component (visual awareness negativity) for high (systole/exhalation) BR activity, indicating that BR signals interfere with the sensory processing of the visual input. Likewise, activity spread from the primary visceral cortex (posterior insula) to posterior parietal cortices during high and from associative interoceptive centers (anterior insula) to the prefrontal cortex during low BR activity. Consciousness is thereby resolved in cognitive/associative regions when BR is low and in perceptual centers when it is high. Our results suggest that cyclic fluctuations of BR signaling affect both the earliest markers of awareness and the brain processes underlying conscious awareness.
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Affiliation(s)
- Viviana Leupin
- Department of Psychology, University of Fribourg, Fribourg CH-1700, Switzerland
| | - Juliane Britz
- Department of Psychology, University of Fribourg, Fribourg CH-1700, Switzerland
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Savoca PW, Glynn LM, Fox MM, Richards MC, Callaghan BL. Interoception in pregnancy: Implications for peripartum depression. Neurosci Biobehav Rev 2024; 166:105874. [PMID: 39243875 DOI: 10.1016/j.neubiorev.2024.105874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 08/12/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024]
Affiliation(s)
- Paul W Savoca
- Department of Psychology, University of California, Los Angeles, USA.
| | | | - Molly M Fox
- Department of Anthropology, University of California, Los Angeles, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA
| | - Misty C Richards
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA; David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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Jacoby N, Landau-Wells M, Pearl J, Paul A, Falk EB, Bruneau EG, Ochsner KN. Partisans process policy-based and identity-based messages using dissociable neural systems. Cereb Cortex 2024; 34:bhae368. [PMID: 39270673 DOI: 10.1093/cercor/bhae368] [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: 04/01/2024] [Revised: 08/12/2024] [Accepted: 08/27/2024] [Indexed: 09/15/2024] Open
Abstract
Political partisanship is often conceived as a lens through which people view politics. Behavioral research has distinguished two types of "partisan lenses"-policy-based and identity-based-that may influence peoples' perception of political events. Little is known, however, about the mechanisms through which partisan discourse appealing to policy beliefs or targeting partisan identities operate within individuals. We addressed this question by collecting neuroimaging data while participants watched videos of speakers expressing partisan views. A "partisan lens effect" was identified as the difference in neural synchrony between each participant's brain response and that of their partisan ingroup vs. outgroup. When processing policy-based messaging, a partisan lens effect was observed in socio-political reasoning and affective responding brain regions. When processing negative identity-based attacks, a partisan lens effect was observed in mentalizing and affective responding brain regions. These data suggest that the processing of political discourse that appeals to different forms of partisanship is supported by related but distinguishable neural-and therefore psychological-mechanisms, which may have implications for how we characterize partisanship and ameliorate its deleterious impacts.
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Affiliation(s)
- Nir Jacoby
- Department of Psychological and Brain Sciences, Dartmouth College, Moore Hall, 3 Maynard St, Hanover, NH 03755, USA
- Department of Psychology, Columbia University, 1190 Amsterdam Ave, New York, NY 10027, USA
| | - Marika Landau-Wells
- Travers Department of Political Science, University of California-Berkeley, 210 Barrows Hall #1950, Berkeley, CA 94720, USA
| | - Jacob Pearl
- Annenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104, USA
| | - Alexandra Paul
- Annenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104, USA
| | - Emily B Falk
- Annenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104, USA
- Wharton School, University of Pennsylvania, 3733 Spruce St, Philadelphia, PA 19104, USA
- Department of Psychology, University of Pennsylvania, 3720 Walnut St, Philadelphia, PA 19104, USA
- Annenberg Public Policy Center, University of Pennsylvania, 202 S 36th St, Philadelphia, PA 19104, USA
| | - Emile G Bruneau
- Annenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104, USA
| | - Kevin N Ochsner
- Department of Psychology, Columbia University, 1190 Amsterdam Ave, New York, NY 10027, USA
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10
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Canino S, Torchia V, Gaita M, Raimo S, Palermo L. Linking the inner and outer mental representations of the body to social cognition skills: A systematic review and meta-analysis. Neuropsychologia 2024; 204:108989. [PMID: 39233220 DOI: 10.1016/j.neuropsychologia.2024.108989] [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: 04/23/2024] [Revised: 07/17/2024] [Accepted: 08/30/2024] [Indexed: 09/06/2024]
Abstract
An interesting interpretation of embodiment highlights the critical role of mental body representations (BR), including motor, somatosensory, and interoceptive formats, for social cognition. However, the nature of this relationship is still debated at the empirical level, with various studies arriving at different conclusions. Here, we present a systematic review and meta-analysis aimed to summarize data from 3466 participants in 21 studies to provide a more comprehensive understanding of the relationship between inner and outer BR and social cognition. We focused on two core social cognition aspects: empathy and Theory of Mind (ToM). Concerning the inner BR, our meta-analytic findings reveal a significant correlation between specific interoceptive dimensions (i.e., interoceptive sensibility and accuracy) and social cognition, which was stronger for empathy than ToM. Conversely, although further research is needed, functional BR that mainly involve the outer body processing (i.e., nonaction-oriented BR) may show positive links with ToM. These findings point to specific interactions between BR and social cognition skills, supporting multi-faceted and embodied social cognition models. However, we also identified critical knowledge gaps and highlighted the need for further investigation to deepen our theoretical understanding of these relationships and their implications for clinical practice.
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Affiliation(s)
- Silvia Canino
- Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
| | - Valentina Torchia
- Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
| | - Mariachiara Gaita
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Simona Raimo
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
| | - Liana Palermo
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
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11
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Eaves DL, Hodges NJ, Buckingham G, Buccino G, Vogt S. Enhancing motor imagery practice using synchronous action observation. PSYCHOLOGICAL RESEARCH 2024; 88:1891-1907. [PMID: 36574019 PMCID: PMC11315722 DOI: 10.1007/s00426-022-01768-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 11/07/2022] [Indexed: 12/28/2022]
Abstract
In this paper, we discuss a variety of ways in which practising motor actions by means of motor imagery (MI) can be enhanced via synchronous action observation (AO), that is, by AO + MI. We review the available research on the (mostly facilitatory) behavioural effects of AO + MI practice in the early stages of skill acquisition, discuss possible theoretical explanations, and consider several issues related to the choice and presentation schedules of suitable models. We then discuss considerations related to AO + MI practice at advanced skill levels, including expertise effects, practical recommendations such as focussing attention on specific aspects of the observed action, using just-ahead models, and possible effects of the perspective in which the observed action is presented. In section "Coordinative AO + MI", we consider scenarios where the observer imagines performing an action that complements or responds to the observed action, as a promising and yet under-researched application of AO + MI training. In section "The dual action simulation hypothesis of AO + MI", we review the neurocognitive hypothesis that AO + MI practice involves two parallel action simulations, and we consider opportunities for future research based on recent neuroimaging work on parallel motor representations. In section "AO + MI training in motor rehabilitation", we review applications of AO, MI, and AO + MI training in the field of neurorehabilitation. Taken together, this evidence-based, exploratory review opens a variety of avenues for future research and applications of AO + MI practice, highlighting several clear advantages over the approaches of purely AO- or MI-based practice.
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Affiliation(s)
- Daniel L Eaves
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK.
| | - Nicola J Hodges
- School of Kinesiology, University of British Columbia, Vancouver, Canada
| | - Gavin Buckingham
- Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Giovanni Buccino
- Division of Neuroscience, IRCCS San Raffaele and Vita Salute San Raffaele University, Milan, Italy
| | - Stefan Vogt
- Department of Psychology, Lancaster University, Lancaster, UK.
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12
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Eng GK, De Nadai AS, Collins KA, Recchia N, Tobe RH, Bragdon LB, Stern ER. Identifying subgroups of urge suppression in Obsessive-Compulsive Disorder using machine learning. J Psychiatr Res 2024; 177:129-139. [PMID: 39004004 DOI: 10.1016/j.jpsychires.2024.06.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/21/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024]
Abstract
Obsessive-compulsive disorder (OCD) is phenomenologically heterogeneous. While predominant models suggest fear and harm prevention drive compulsions, many patients also experience uncomfortable sensory-based urges ("sensory phenomena") that may be associated with heightened interoceptive sensitivity. Using an urge-to-blink eyeblink suppression paradigm to model sensory-based urges, we previously found that OCD patients as a group had more eyeblink suppression failures and greater activation of sensorimotor-interoceptive regions than controls. However, conventional approaches assuming OCD homogeneity may obscure important within-group variability, impeding precision treatment development. This study investigated the heterogeneity of urge suppression failure in OCD and examined relationships with clinical characteristics and neural activation. Eighty-two patients with OCD and 38 controls underwent an fMRI task presenting 60-s blocks of eyeblink suppression alternating with free-blinking blocks. Latent profile analysis identified OCD subgroups based on number of erroneous blinks during suppression. Subgroups were compared on behavior, clinical characteristics, and brain activation during task. Three patient subgroups were identified. Despite similar overall OCD severity, the subgroup with the most erroneous eyeblinks had the highest sensory phenomena severity, interoceptive sensitivity, and subjective urge intensity. Compared to other subgroups, this subgroup exhibited more neural activity in somatosensory and interoceptive regions during the early phase (first 30 s) of blink suppression and reduced activity in the middle frontal gyrus during the late phase (second 30 s) as the suppression period elapsed. Heterogeneity of urge suppression in OCD was associated with clinical characteristics and brain function. Our results reveal potential treatment targets that could inform personalized medicine.
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Affiliation(s)
- Goi Khia Eng
- Department of Psychiatry, New York University Grossman School of Medicine, New York, 10016, USA; Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA.
| | - Alessandro S De Nadai
- Simches Division of Child and Adolescent Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - Katherine A Collins
- Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA
| | - Nicolette Recchia
- Department of Psychiatry, New York University Grossman School of Medicine, New York, 10016, USA; Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA
| | - Russell H Tobe
- Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA; Center for the Developing Brain, Child Mind Institute, New York, 10022, USA
| | - Laura B Bragdon
- Department of Psychiatry, New York University Grossman School of Medicine, New York, 10016, USA; Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA
| | - Emily R Stern
- Department of Psychiatry, New York University Grossman School of Medicine, New York, 10016, USA; Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, USA; Neuroscience Institute, New York University Grossman School of Medicine, New York, 10016, USA
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13
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Messina A, Berntsen D. Self-reported sensibility to bodily signals predicts individual differences in autobiographical memory: an exploratory study. Memory 2024; 32:996-1011. [PMID: 38990765 DOI: 10.1080/09658211.2024.2373891] [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: 11/01/2023] [Accepted: 06/23/2024] [Indexed: 07/13/2024]
Abstract
Recent theoretical perspectives have advanced that autobiographical memory processes are supported by interoception, the perception of internal bodily sensations. Yet, this relationship remains largely underexplored. The present study addressed this critical gap in the literature by systematically investigating the association between self-reported Interoceptive Sensibility and various individual differences measures of autobiographical memory. In Study 1, using a correlational approach in a large sample of participants (N = 247), we identified significant correlations between standardised measures of interoception and the general experience of autobiographical memory and the frequency of involuntary mental time travel. These associations remained significant even after controlling for potential confounding factors in terms of age, gender, and trait affectivity, underscoring their robustness. Study 2 replicated and extended the associations identified in Study 1 in another large participant sample (N = 257), further validating them by accounting for the potential confounding effect of well-being. Our findings demonstrate that individuals' ability to perceive and understand bodily signals robustly relates to how they experience autobiographical memories. By adopting an exploratory approach based on individual differences, our results provide novel and concrete insights into the association between interoception and autobiographical memory, providing a strong foundation for future investigations into the causal mechanisms connecting these two constructs.
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Affiliation(s)
- Alessandro Messina
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Dorthe Berntsen
- Center on Autobiographical Memory Research, Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
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14
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Shi K, Li J, Zhang H, Wang K, Li C, Xia Y, Tian T, Li Y, Peng X, Yang Y. The functional and structural alterations in brain regions related to the fear network model in panic disorder: A resting-state fMRI and T1-weighted imaging study. J Psychiatr Res 2024; 177:59-65. [PMID: 38972266 DOI: 10.1016/j.jpsychires.2024.06.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 06/12/2024] [Accepted: 06/24/2024] [Indexed: 07/09/2024]
Abstract
Abnormal functional connectivity (FC) within the fear network model (FNM) has been identified in panic disorder (PD) patients, but the specific local structural and functional properties, as well as effective connectivity (EC), remain poorly understood in PD. The purpose of this study was to investigate the structural and functional patterns of the FNM in PD. Magnetic resonance imaging data were collected from 33 PD patients and 35 healthy controls (HCs). Gray matter volume (GMV), degree centrality (DC), regional homogeneity (ReHo), and amplitude of low-frequency fluctuation (ALFF) were used to identify the structural and functional characteristics of brain regions within the FNM in PD. Subsequently, FC and EC of abnormal regions, based on local structural and functional features, and their correlation with clinical features were further examined. PD patients exhibited preserved GMV, ReHo, and ALFF in the brain regions of the FNM compared with HCs. However, increased DC in the bilateral amygdala was observed in PD patients. The amygdala and its subnuclei exhibited altered EC with rolandic operculum, insula, medial superior frontal gyrus, supramarginal gyrus, opercular part of inferior frontal gyrus, and superior temporal gyrus. Additionally, Hamilton Anxiety Scale score was positively correlated with EC from left lateral nuclei (dorsal portion) of amygdala to right rolandic operculum and left superior temporal gyrus. Our findings revealed a reorganized functional network in PD involving brain regions regulating exteroceptive-interoceptive signals, mood, and somatic symptoms. These results enhance our understanding of the neurobiological underpinnings of PD, suggesting potential biomarkers for diagnosis and targets for therapeutic intervention.
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Affiliation(s)
- Ke Shi
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Juan Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Han Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Kai Wang
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Cun Li
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Ye Xia
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Tian Tian
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuanhao Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiaolong Peng
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
| | - Yuan Yang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, 430030, China.
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15
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McGregor MS, Cosme CV, LaLumiere RT. Insular cortex subregions have distinct roles in cued heroin seeking after extinction learning and prolonged withdrawal in rats. Neuropsychopharmacology 2024; 49:1540-1549. [PMID: 38499719 PMCID: PMC11319627 DOI: 10.1038/s41386-024-01846-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/02/2024] [Accepted: 03/07/2024] [Indexed: 03/20/2024]
Abstract
Evidence indicates that the anterior (aIC), but not posterior (pIC), insular cortex promotes cued reinstatement of cocaine seeking after extinction in rats. It is unknown whether these subregions also regulate heroin seeking and whether such involvement depends on prior extinction learning. To address these questions, we used baclofen and muscimol (BM) to inactivate the aIC or pIC bilaterally during a seeking test after extinction or prolonged withdrawal from heroin. Male Sprague-Dawley rats in the extinction groups underwent 10+ days of heroin self-administration, followed by 6+ days of extinction sessions, and subsequent cued or heroin-primed reinstatement. Results indicate that aIC inactivation increased cued reinstatement of heroin seeking after extinction, whereas pIC inactivation prevented cued reinstatement. To determine whether these effects were extinction-dependent, we conducted a subsequent study using both sexes with prolonged withdrawal. Male and female rats in the withdrawal groups underwent 10+ days of heroin self-administration, followed by cued seeking tests after 1 and 14 days of homecage withdrawal to measure incubation of heroin craving. In this case, the findings indicate that aIC inactivation had no effect on incubation of heroin craving after withdrawal in either sex, whereas pIC inactivation decreased heroin craving only in males. These findings suggest that the aIC and pIC have opposing roles in suppressing vs promoting cued heroin seeking after extinction and that these roles are distinct from those in cocaine seeking. Moreover, the incubation of craving results suggest that new contingency learning is necessary to recruit the aIC in cued heroin seeking.
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Affiliation(s)
- Matthew S McGregor
- Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, IA, 52242, USA.
| | - Caitlin V Cosme
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, 52242, USA
| | - Ryan T LaLumiere
- Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, IA, 52242, USA
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52242, USA
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16
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Yang HX, Zhang YJ, Hu HX, Wang LL, Yan YJ, Lui SSY, Wang Y, Chan RCK. Relationship Between Interoception and Autistic Traits: A Resting-State Functional Connectivity Study. J Autism Dev Disord 2024; 54:3290-3300. [PMID: 37395918 DOI: 10.1007/s10803-023-06050-2] [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] [Accepted: 06/17/2023] [Indexed: 07/04/2023]
Abstract
Interoception, the sense of the physiological condition of our body, is impaired in individuals with autism spectrum disorders. Evidence suggests that subclinical autistic traits are mild manifestations of autistic symptoms, present in the general population. We examined the resting-state functional connectivity (rsFC) associating with interoception and autistic traits in 62 healthy young adults. Autistic traits correlated negatively with the rsFC between the lateral ventral anterior insula and anterior cingulate cortex. Interoceptive accuracy and sensibility correlated positively with the rsFC between interoceptive brain networks and the cerebellum, supplementary motor area, and visual regions. The results suggest that a negative relationship between interoception and autistic traits is largely accounted for by both self-report measures and decreased rsFC amongst the interoceptive brain network.
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Affiliation(s)
- Han-Xue Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Hui-Xin Hu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Yong-Jie Yan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China.
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17
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Lévi-Strauss J, Makhalova J, Medina Villalon S, Carron R, Bénar CG, Bartolomei F. Transient alteration of Awareness triggered by direct electrical stimulation of the brain. Brain Stimul 2024; 17:1024-1033. [PMID: 39218350 DOI: 10.1016/j.brs.2024.08.013] [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: 04/14/2024] [Revised: 07/25/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Awareness is a state of consciousness that enables a subject to interact with the environment. Transient alteration of awareness (AA) is a disabling sign of many types of epileptic seizures. The brain mechanisms of awareness and its alteration are not well known. OBJECTIVE/HYPOTHESIS Transient and isolated AA induced by electrical brain stimulation during a stereoelectroencephalography (SEEG) recording represents an ideal model for studying the associated modifications of functional connectivity and locating the hubs of awareness networks. METHODS We investigated the SEEG signals-based brain functional connectivity (FC) changes vs background occurring during AA triggered by three thalamic and two insular stimulations in three patients explored by SEEG in the frame of presurgical evaluation for focal drug-resistant epilepsy. The results were compared to the stimulations of the same sites that did not induce clinical changes (negative stimulations). RESULTS We observed decreased node strength in the pulvinar, insula, and parietal associative cortices during the thalamic and insular stimulations that induced AA. The link strengths characterizing functional coupling between the thalamus and the insular, prefrontal, temporal, or parietal associative cortices were also decreased. In contrast, there was an increased synchronization between the precuneus and the temporal lateral cortex. These FC changes were absent during the negative stimulations. CONCLUSION Our study highlights the role of the pulvinar, insular, and parietal hubs in maintaining the awareness networks and paves the way for invasive or non-invasive neuromodulation protocols to reduce AA manifestations during epileptic seizures.
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Affiliation(s)
- Julie Lévi-Strauss
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France
| | - Julia Makhalova
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France; Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - Samuel Medina Villalon
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Romain Carron
- APHM, Timone Hospital, Functional, and Stereotactic Neurosurgery, Marseille, France
| | - Christian G Bénar
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Fabrice Bartolomei
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
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18
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Vonk JMJ, Morin BT, Pillai J, Rolon DR, Bogley R, Baquirin DP, Ezzes Z, Tee BL, DeLeon J, Wauters L, Lukic S, Montembeault M, Younes K, Miller Z, García AM, Mandelli ML, Sturm VE, Miller BL, Gorno-Tempini ML. Digital language markers distinguish frontal from right anterior temporal lobe atrophy in frontotemporal dementia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.29.24312807. [PMID: 39252889 PMCID: PMC11383468 DOI: 10.1101/2024.08.29.24312807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Background and Objectives Within frontotemporal dementia (FTD), the behavioral variant (bvFTD) characterized by frontal atrophy, and semantic behavioral variant (sbvFTD) characterized by right anterior temporal lobe (rATL) atrophy, present diagnostic challenges due to overlapping symptoms and neuroanatomy. Accurate differentiation is crucial for clinical trial inclusion targeting TDP-43 proteinopathies. This study investigated whether automated speech analysis can distinguish between FTD-related rATL and frontal atrophy, potentially offering a non-invasive diagnostic tool. Methods In a cross-sectional design, we included 40 participants with FTD-related predominant frontal atrophy (n=16) or predominant rATL atrophy (n=24) and 22 healthy controls from the UCSF Memory and Aging Center. Using stepwise logistic regression and receiver operating characteristic (ROC) curve analysis, we analyzed 16 linguistic and acoustic features that were extracted automatically from audio-recorded picture description tasks. Neuroimaging data were analyzed using voxel-based morphometry to examine brain-behavior relationships of regional atrophy with the features selected in the regression models. Results Logistic regression identified three features (content units, lexical frequency, familiarity) differentiating the overall FTD group from controls (AUC=.973), adjusted for age. Within the FTD group, five features (adpositions/total words ratio, arousal, syllable pause duration, restarts, words containing 'thing') differentiated frontal from rATL atrophy (AUC=.943). Neuroimaging analyses showed that semantic features (lexical frequency, content units, 'thing' words) were linked to bilateral inferior temporal lobe structures, speech and lexical features (syllable pause duration, adpositions/total words ratio) to bilateral inferior frontal gyri, and socio-emotional features (arousal) to areas known to mediate social cognition including the right insula and bilateral anterior temporal structures. As a composite score, this set of five features was uniquely associated with rATL atrophy. Discussion Automated speech analysis effectively distinguished the overall FTD group from controls and differentiated between frontal and rATL atrophy. The neuroimaging findings for individual features highlight the neural basis of language impairments in these FTD variants, and when considered together, underscore the importance of utilizing features' combined power to identify impaired language patterns. Automated speech analysis could enhance early diagnosis and monitoring of FTD, offering a scalable, non-invasive alternative to traditional methods, particularly in resource-limited settings. Further research should aim to integrate automated speech analysis into multi-modal diagnostic frameworks.
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Affiliation(s)
- Jet M J Vonk
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Brittany T Morin
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Janhavi Pillai
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - David Rosado Rolon
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Rian Bogley
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - David Paul Baquirin
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Zoe Ezzes
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Boon Lead Tee
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Jessica DeLeon
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Lisa Wauters
- Department of Speech, Language and Hearing Sciences, University of Texas Austin, Austin, TX
| | - Sladjana Lukic
- School of Communication Science and Disorders, Florida State University, Tallahassee, FL
| | | | - Kyan Younes
- Department of Neurology, Stanford University, CA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Adolfo M García
- Cognitive Neuroscience Center, Universidad de San Andrés Buenos Aires, Argentina, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Virginia E Sturm
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
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Alldritt S, Ramirez JSB, de Wael RV, Bethlehem R, Seidlitz J, Wang Z, Nenning K, Esper NB, Smallwood J, Franco AR, Byeon K, Alexander-Bloch A, Amaral DG, Amiez C, Balezeau F, Baxter MG, Becker G, Bennett J, Berkner O, Blezer ELA, Brambrink AM, Brochier T, Butler B, Campos LJ, Canet-Soulas E, Chalet L, Chen A, Cléry J, Constantinidis C, Cook DJ, Dehaene S, Dorfschmidt L, Drzewiecki CM, Erdman JW, Everling S, Falchier A, Fleysher L, Fox A, Freiwald W, Froesel M, Froudist-Walsh S, Fudge J, Funck T, Gacoin M, Gale DJ, Gallivan J, Garin CM, Griffiths TD, Guedj C, Hadj-Bouziane F, Hamed SB, Harel N, Hartig R, Hiba B, Howell BR, Jarraya B, Jung B, Kalin N, Karpf J, Kastner S, Klink C, Kovacs-Balint ZA, Kroenke C, Kuchan MJ, Kwok SC, Lala KN, Leopold DA, Li G, Lindenfors P, Linn G, Mars RB, Masiello K, Menon RS, Messinger A, Meunier M, Mok K, Morrison JH, Nacef J, Nagy J, Neudecker V, Neuringer M, Noonan MP, Ortiz-Rios M, Perez-Zoghbi JF, Petkov CI, Pinsk M, Poirier C, Procyk E, Rajimehr R, Reader SM, Rudko DA, Rushworth MFS, Russ BE, Sallet J, Sanchez MM, Schmid MC, Schwiedrzik CM, Scott JA, Sein J, Sharma KK, Shmuel A, Styner M, Sullivan EL, Thiele A, Todorov OS, Tsao D, Tusche A, Vlasova R, Wang Z, Wang L, Wang J, Weiss AR, Wilson CRE, Yacoub E, Zarco W, Zhou Y, Zhu J, Margulies D, Fair D, Schroeder C, Milham M, Xu T. Brain Charts for the Rhesus Macaque Lifespan. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.28.610193. [PMID: 39257737 PMCID: PMC11383706 DOI: 10.1101/2024.08.28.610193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
Recent efforts to chart human brain growth across the lifespan using large-scale MRI data have provided reference standards for human brain development. However, similar models for nonhuman primate (NHP) growth are lacking. The rhesus macaque, a widely used NHP in translational neuroscience due to its similarities in brain anatomy, phylogenetics, cognitive, and social behaviors to humans, serves as an ideal NHP model. This study aimed to create normative growth charts for brain structure across the macaque lifespan, enhancing our understanding of neurodevelopment and aging, and facilitating cross-species translational research. Leveraging data from the PRIMatE Data Exchange (PRIME-DE) and other sources, we aggregated 1,522 MRI scans from 1,024 rhesus macaques. We mapped non-linear developmental trajectories for global and regional brain structural changes in volume, cortical thickness, and surface area over the lifespan. Our findings provided normative charts with centile scores for macaque brain structures and revealed key developmental milestones from prenatal stages to aging, highlighting both species-specific and comparable brain maturation patterns between macaques and humans. The charts offer a valuable resource for future NHP studies, particularly those with small sample sizes. Furthermore, the interactive open resource (https://interspeciesmap.childmind.org) supports cross-species comparisons to advance translational neuroscience research.
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Affiliation(s)
- S Alldritt
- Center for the Integrative Developmental Neuroscience, Child Mind Institute
| | | | | | - R Bethlehem
- University of Cambridge, Department of Psychology
| | | | | | | | | | | | - A R Franco
- Child Mind Institute
- Nathan Kline Institute
| | | | - A Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia
- Department of Psychiatry, University of Pennsylvania
| | - D G Amaral
- Department of Psychiatry and Behavioral Sciences and The MIND Institute
- University of California Davis
| | - C Amiez
- Stem Cell and Brain Research Institute
| | | | - M G Baxter
- Section on Comparative Medicine, Wake Forest University School of Medicine
| | - G Becker
- Universite Claude Bernard Lyon 1
| | - J Bennett
- University of California Davis, Dept of Psychology
| | - O Berkner
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | | | | | | | - B Butler
- Translational Neuroscience Division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | | | | | | | - A Chen
- East China Normal University
| | | | | | | | | | | | | | | | | | - A Falchier
- Translational Neuroscience Division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | | | - A Fox
- University of California Davis
| | | | - M Froesel
- Institute for Cognitive Science Marc Jeannerod
| | | | | | | | - M Gacoin
- Institute for Cognitive Science Marc Jeannerod
| | | | | | - C M Garin
- Institut des Sciences Cognitives Marc Jeannerod (ISC-MJ)
- Department of Biomedical Engineering, Vanderbilt University
| | | | - C Guedj
- Lyon Neuroscience Research Center, University of Geneva
| | | | - S B Hamed
- Institute for Cognitive Science Marc Jeannerod
| | | | - R Hartig
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | - B Hiba
- Institute for Cognitive Science Marc Jeannerod
| | - B R Howell
- Emory National Primate Research Center, Emory University
- Fralin Biomedical Research Institute, Virginia Tech
- Carilion Department of Human Development and Family Science, Virginia Tech
| | | | - B Jung
- University of Pennsylvania
| | - N Kalin
- University of Wisconsin Madison
| | - J Karpf
- Oregon National Primate Research Center
| | - S Kastner
- Princeton Neuroscience Institute & Department of Psychology, Princeton University
| | - C Klink
- Netherlands Institute for Neuroscience
| | | | - C Kroenke
- Oregon National Primate Research Center
| | | | | | - K N Lala
- Centre for Social Learning and Cognitive Evolution, School of Biology, University of St. Andrews
| | | | - G Li
- University of North Carolina at Chapel Hill
| | - P Lindenfors
- Institute for Futures Studies, Stockholm, Sweden
- Centre for Cultural Evolution & Department of Zoology, Stockholm University, Sweden
| | - G Linn
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | | | - K Masiello
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | | | | | - M Meunier
- Lyon Neuroscience Research Center, ImpAct Team
| | | | - J H Morrison
- California National Primate Research Center, Davis
| | | | - J Nagy
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai
| | | | | | | | - M Ortiz-Rios
- Functional Imaging Laboratory, German Primate Center - Leibniz Institute for Primate Research
| | | | - C I Petkov
- Newcastle University, University of Iowa
| | - M Pinsk
- Princeton Neuroscience Institute, Princeton University
| | | | - E Procyk
- Stem Cell and Brain Research Institute
| | - R Rajimehr
- McGovern Institute for Brain Research, Massachusetts Institute of Technology
| | - S M Reader
- Department of Biology, Utrecht University
- Department of Biology, McGill University
| | | | | | - B E Russ
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
| | - J Sallet
- INSERM Stem Cell & Brain Research Institute
- University of Oxford
| | - M M Sanchez
- Department of Psychiatry & Behavioral Sciences, School of Medicine
- Emory National Primate Research Center; Emory University
| | | | - C M Schwiedrzik
- Ruhr University Bochum, Faculty of Biology and Biotechnology, Cognitive Neurobiology
- Neural Circuits and Cognition Lab, European Neuroscience Institute Göttingen
- Perception and Plasticity Group, German Primate Center - Leibniz Institute for Primate Research
| | - J A Scott
- Department of Bioengineering, Santa Clara University
| | | | | | | | - M Styner
- University of North Carolina at Chapel Hill
| | | | | | - O S Todorov
- Department of Biology and Helmholtz Institute, Utrecht University
| | - D Tsao
- Department of Computation and Neural Systems, California Institute of Technology
| | | | - R Vlasova
- University of North Carolina at Chapel Hill
| | - Z Wang
- Institute of Neuroscience
| | - L Wang
- East China Normal University
| | - J Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - A R Weiss
- Oregon National Primate Research Center
| | | | | | | | - Y Zhou
- Krieger Mind/Brain Institute, Department of Neurosurgery, Johns Hopkins University
| | - J Zhu
- Department of Biomedical Engineering, Vanderbilt University
| | - D Margulies
- French National Centre for Scientific Research
| | | | - C Schroeder
- Translational Neuroscience division, Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute
- Deptartment of Psychiatry, Neurology and Neurosurgery, Columbia University
| | - M Milham
- Child Mind Institute
- Nathan Kline Institute
| | - T Xu
- Center for the Integrative Developmental Neuroscience, Child Mind Institute
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20
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Stoll FM, Rudebeck PH. Dissociable Representations of Decision Variables within Subdivisions of the Macaque Orbital and Ventrolateral Frontal Cortex. J Neurosci 2024; 44:e0464242024. [PMID: 38991790 PMCID: PMC11358530 DOI: 10.1523/jneurosci.0464-24.2024] [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: 03/11/2024] [Revised: 06/07/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024] Open
Abstract
The ventral frontal cortex (VFC) in macaques is involved in many affective and cognitive processes and has a key role in flexibly guiding reward-based decision-making. VFC is composed of a set of anatomically distinct subdivisions that are within the orbitofrontal cortex, ventrolateral prefrontal cortex, and anterior insula. In part, because prior studies have lacked the resolution to test for differences, it is unclear if neural representations related to decision-making are dissociable across these subdivisions. Here we recorded the activity of thousands of neurons within eight anatomically defined subdivisions of VFC in male macaque monkeys performing a two-choice probabilistic task for different fruit juice outcomes. We found substantial variation in the encoding of decision variables across these eight subdivisions. Notably, ventrolateral Area 12l was unique relative to the other areas that we recorded from as the activity of single neurons integrated multiple attributes when monkeys evaluated the different choice options. Activity within Area 12o, in contrast, more closely represented reward probability and whether reward was received on a given trial. Orbitofrontal Area 11m/l contained more specific representations of the quality of the outcome that could be earned later on. We also found that reward delivery encoding was highly distributed across all VFC subdivisions, while the properties of the reward, such as its flavor, were more strongly represented in Areas 11m/l and 13m. Taken together, our work reveals the diversity of encoding within the various anatomically distinct subdivisions of VFC in primates.
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Affiliation(s)
- Frederic M Stoll
- Nash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Peter H Rudebeck
- Nash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
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21
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Grössinger D, Spann SM, Stollberger R, Pfeuffer J, Koten JW, Wood G. Real-time fMRI neurofeedback of the anterior insula using arterial spin labelling. Eur J Neurosci 2024. [PMID: 39193617 DOI: 10.1111/ejn.16502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 07/02/2024] [Accepted: 07/28/2024] [Indexed: 08/29/2024]
Abstract
Arterial spin labelling (ASL) is the only non-invasive technique that allows absolute quantification of perfusion and is increasingly used in brain activation studies. Contrary to the blood oxygen level-dependent (BOLD) effect ASL measures the cerebral blood flow (CBF) directly. However, the ASL signal has a lower signal-to-noise ratio (SNR), than the BOLD signal, which constrains its utilization in neurofeedback studies. If successful, ASL neurofeedback can be used to aid in the rehabilitation of health conditions with impaired blood flow, for example, stroke. We provide the first ASL-based neurofeedback study incorporating a double-blind, sham-controlled design. A pseudo-continuous ASL (pCASL) approach with background suppression and 3D GRASE readout was combined with a real-time post-processing pipeline. The real-time pipeline allows to monitor the ASL signal and provides real-time feedback on the neural activity to the subject. In total 41 healthy adults (19-56 years) divided into three groups underwent a neurofeedback-based emotion imagery training of the left anterior insula. Two groups differing only in the explicitness level of instruction received real training and a third group received sham feedback. Only those participants receiving real feedback with explicit instruction showed significantly higher absolute CBF values in the trained region during neurofeedback than participants receiving sham feedback. However, responder analyses of percent signal change values show no differences in activation between the three groups. Persisting limitations, such as the lower SNR, confounding effects of arterial transit time and partial volume effects still impact negatively the implementation of ASL neurofeedback.
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Affiliation(s)
| | - Stefan M Spann
- Institute of Medical Engineering, Graz University of Technology, Graz, Austria
| | - Rudolf Stollberger
- Institute of Medical Engineering, Graz University of Technology, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Josef Pfeuffer
- Siemens Healthcare, Application Development, Erlangen, Germany
| | | | - Guilherme Wood
- Institute of Psychology, University of Graz, Graz, Austria
- BioTechMed-Graz, Graz, Austria
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22
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Godet A, Serrand Y, Léger B, Moirand R, Bannier E, Val-Laillet D, Coquery N. Functional near-infrared spectroscopy-based neurofeedback training targeting the dorsolateral prefrontal cortex induces changes in cortico-striatal functional connectivity. Sci Rep 2024; 14:20025. [PMID: 39198481 PMCID: PMC11358514 DOI: 10.1038/s41598-024-69863-w] [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: 07/06/2023] [Accepted: 08/09/2024] [Indexed: 09/01/2024] Open
Abstract
Due to its central role in cognitive control, the dorso-lateral prefrontal cortex (dlPFC) has been the target of multiple brain modulation studies. In the context of the present pilot study, the dlPFC was the target of eight repeated neurofeedback (NF) sessions with functional near infrared spectroscopy (fNIRS) to assess the brain responses during NF and with functional and resting state magnetic resonance imaging (task-based fMRI and rsMRI) scanning. Fifteen healthy participants were recruited. Cognitive task fMRI and rsMRI were performed during the 1st and the 8th NF sessions. During NF, our data revealed an increased activity in the dlPFC as well as in brain regions involved in cognitive control and self-regulation learning (pFWE < 0.05). Changes in functional connectivity between the 1st and the 8th session revealed increased connectivity between the posterior cingulate cortex and the dlPFC, and between the posterior cingulate cortex and the dorsal striatum (pFWE < 0.05). Decreased left dlPFC-left insula connectivity was also observed. Behavioural results revealed a significant effect of hunger and motivation on the participant control feeling and a lower control feeling when participants did not identify an effective mental strategy, providing new insights on the effects of behavioural factors that may affect the NF learning.
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Affiliation(s)
- A Godet
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - Y Serrand
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - B Léger
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - R Moirand
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
- Unité d'Addictologie, CHU Rennes, Rennes, France
| | - E Bannier
- Inria, CRNS, Inserm, IRISA UMR 6074, Empenn U1228, Univ Rennes, Rennes, France.
- Radiology Department, CHU Rennes, Rennes, France.
| | - D Val-Laillet
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France.
| | - N Coquery
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
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23
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Bertsch K, Göhre I, Cottin M, Zettl M, Wienrich C, Back SN. Traumatic childhood experiences and personality functioning: effect of body connection in a cross-sectional German and Chilean sample. Borderline Personal Disord Emot Dysregul 2024; 11:20. [PMID: 39187903 PMCID: PMC11348756 DOI: 10.1186/s40479-024-00266-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 08/08/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Traumatic childhood experiences are a major risk factor for developing mental disorders later in life. Over the past decade, researchers have begun to investigate the role of early trauma in impairments in personality functioning following the introduction of the Alternative Model of Personality Disorders in Section III of the Diagnostic and Statistical Manual for Mental Disorders 5. Although first studies were able to empirically demonstrate a significant link between early trauma and impairments in personality functioning, only little is known about the underlying mechanisms. One possible mechanism is body connection due to its involvement in self-regulatory processes and its link to both early trauma and personality (dys)functioning. OBJECTIVE In the current study, we investigated whether body connection, which encompasses the awareness, integration, and utilization of one's own bodily signals, mediates the relationship between childhood trauma and personality functioning. PARTICIPANTS AND SETTING A total of 1,313 adult participants recruited in Germany and Chile anonymously provided self-report data in an online survey. METHODS Self-report data included the short form of the Childhood Trauma Questionnaire (CTQ-SF), the Scale of Body Connection (SBC), and the brief form of the Levels of Personality Functioning Scale (LPFS-BF 2.0) as well as demographic data (age, sex, education, clinical diagnoses). RESULTS Traumatic childhood experiences explained 27.2% of the variance in impairments in personality functioning. Interestingly, 60.5% of this effect was explained by body connection, particularly body dissociation. Additional exploratory analyses revealed that body dissociation and, to a much lesser extent, body awareness, accounted for 64.41% of the variance in self functioning and 55.75% of the variance in interpersonal functioning explained by childhood trauma. CONCLUSION Body connection appears to be an important mediator in the association between early trauma and impaired personality functioning, underscoring the need for interventions specifically targeting the avoidance and ignorance of signals from one's own body in individuals with traumatic childhood trauma.
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Affiliation(s)
- Katja Bertsch
- Department of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
- German Center for Mental Health (DZPG), Partner Site Munich, Munich, Germany.
| | - Isabelle Göhre
- German Center for Mental Health (DZPG), Partner Site Munich, Munich, Germany
- Department of Psychology, Ludwig-Maximilians-Universität München, München, Germany
| | - Marianne Cottin
- Escuela de Psicología, Universidad Adolfo Ibañez, Santiago, Chile
| | - Max Zettl
- Institute for Psychosocial Prevention, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Carolin Wienrich
- Institut Human-Computer-Media, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Sarah N Back
- German Center for Mental Health (DZPG), Partner Site Munich, Munich, Germany
- Department of Psychology, Ludwig-Maximilians-Universität München, München, Germany
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24
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Lin IF, Kondo HM. Brain circuits in autonomous sensory meridian response and related phenomena. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230252. [PMID: 39005041 DOI: 10.1098/rstb.2023.0252] [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: 11/16/2023] [Accepted: 03/19/2024] [Indexed: 07/16/2024] Open
Abstract
Autonomous sensory meridian response (ASMR) is characterized by a tingling sensation with a feeling of relaxation and a state of flow. We explore the neural underpinnings and comorbidities of ASMR and related phenomena with altered sensory processing. These phenomena include sensory processing sensitivity (SPS), synaesthesia, Alice in Wonderland syndrome and misophonia. The objective of this article is to uncover the shared neural substrates and distinctive features of ASMR and its counterparts. ASMR, SPS and misophonia exhibit common activations in the brain regions associated with social cognition, emotion regulation and empathy. Nevertheless, ASMR responders display reduced connectivity in the salience network (SN), while individuals with SPS exhibit increased connectivity in the SN. Furthermore, ASMR induces relaxation and temporarily reduces symptoms of depression, in contrast to SPS and misophonia, which are linked to depression. These observations lead us to propose that ASMR is a distinct phenomenon owing to its attention dispatch mechanism and its connection with emotion regulation. We suggest that increased activations in the insula, along with reduction in connectivity within the salience and default mode networks in ASMR responders, may account for their experiences of relaxation and flow states. This article is part of the theme issue 'Sensing and feeling: an integrative approach to sensory processing and emotional experience'.
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Affiliation(s)
- I-Fan Lin
- Department of Occupational Medicine and Clinical Toxicology, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Hirohito M Kondo
- School of Psychology, Chukyo University, Nagoya, Aichi 466-8666, Japan
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25
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Çaman MB, Saraydar O, Aksu S, Bek S, Kutlu G. The effect of hypoxia on interoception in patient with obstructive sleep apnea. Sleep Breath 2024:10.1007/s11325-024-03143-9. [PMID: 39177942 DOI: 10.1007/s11325-024-03143-9] [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: 05/25/2024] [Revised: 08/05/2024] [Accepted: 08/14/2024] [Indexed: 08/24/2024]
Abstract
PURPOSE Obstructive Sleep Apnea (OSA) is the most common sleep-related disorder. Interoception is the collection of sensory and cognitive processes that involve receiving and interpreting physiological signals from internal body structures and conveying the perception of inner sensations. In this study, it was hypothesized that the impairment in cognitive functions associated with chronic hypoxemia and the insular effects due to OSA would negatively affect interoceptive functions. The aim of this study was to evaluate whether interoception in OSA changes consistent with the hypothesis. METHODS A total of 102 patients diagnosed with OSA were included in this study. All participants were divided into groups based on their T90 values: desaturated OSA (T90 ≥ 20%) and non-desaturated OSA (T90 < 20%). The Heartbeat Counting Task was used to assess interoceptive accuracy, while the Interoceptive Sense Questionnaire (ISQ) was employed to identify subjective challenges in evaluating interoception. RESULTS Interoceptive accuracy was lower in the desaturated OSA group than in the non-desaturated OSA group (Z = -2.463; p = 0.014). Interoceptive accuracy was negatively correlated with the body mass index (r = -0.228; p = 0.021), T90 (r = -0.269; p = 0.006), and positively correlated with the average SaO2 (r = 0.377; p < 0.001) and SaO2 nadir (r = 0.243; p = 0.014). CONCLUSION This study examined interoceptive functions in patients with OSA. It was concluded that interoceptive accuracy is affected by the severity of hypoxia as hypothesized.
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Affiliation(s)
- Mahmut Bilal Çaman
- Neurology Clinic, Mugla Training and Research Hospital, Kötekli, Muğla, 48000, Turkey.
| | - Osman Saraydar
- Department of Neurology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Serkan Aksu
- Department of Physiology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Semai Bek
- Department of Neurology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Gulnihal Kutlu
- Department of Neurology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey
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26
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Tomaiuolo F, Cerritelli F, Delli Pizzi S, Sestieri C, Paolucci T, Chiacchiaretta P, Sensi SL, Ferretti A. Data-driven analysis of whole-brain intrinsic connectivity in patients with chronic low back pain undergoing osteopathic manipulative treatment. Neuroimage Clin 2024; 43:103659. [PMID: 39208480 PMCID: PMC11399693 DOI: 10.1016/j.nicl.2024.103659] [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: 07/30/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Chronic Low Back Pain (cLBP) poses a significant health challenge, leading to functional disability and reduced quality of life. Osteopathic Manipulative Treatment (OMT) is emerging as a therapeutic option for cLBP, but the brain mechanisms underlying its analgesic effect remain unclear. MATERIALS AND METHODS Thirty cLBP patients were randomly exposed to either four weekly sessions of OMT (N=16) or Sham treatment (N=14). Resting-state Magnetic Resonance Imaging (rs-MRI) scans and pain perception questionnaires were collected before and after treatment. A voxel-wise, rs-fMRI data-driven analysis was conducted to identify changes in the intrinsic functional connectivity across the whole brain that were associated with the OMT. Spearman's correlations were used to test for the association between changes in intrinsic connectivity and individual reports of pain perception. RESULTS Compared to the Sham group, participants who received OMT showed significant alterations in the functional connectivity of several regions belonging to the pain matrix. Specifically, OMT was associated with decreased connectivity of a parietal cluster that includes the somatosensory cortex and an increase of connectivity of the right anterior insula and ventral and dorsal anterolateral prefrontal areas. Crucially, the change in connectivity strength observed in the ventral anterolateral prefrontal cortex, a putative region of the affective-reappraisive layer of the pain matrix, correlates with the reduction in pain perception caused by the OMT. CONCLUSIONS This study offers insights into the brain mechanisms underlying the analgesic effect of OMT. Our findings support a link between OMT-driven functional cortical architecture alterations and improved clinical outcomes.
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Affiliation(s)
- Federica Tomaiuolo
- University "G. d'Annunzio" of Chieti Pescara - Engineering and Geology Department, Italy; Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Italy
| | - Francesco Cerritelli
- NYIT College of Osteopathic Medicine, Old Westbury, NY 11568, USA; Foundation COME Collaboration, Pescara, Italy.
| | - Stefano Delli Pizzi
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Italy; Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University, Chieti-Pescara, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, Italy.
| | - Carlo Sestieri
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Italy; Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University, Chieti-Pescara, Italy
| | - Teresa Paolucci
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; CARES, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Piero Chiacchiaretta
- Molecular Neurology Unit, Center for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, Italy; Department of Innovative Technologies in Medicine and Dentistry, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Italy; Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University, Chieti-Pescara, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, Italy
| | - Antonio Ferretti
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Italy; Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University, Chieti-Pescara, Italy; UdA-TechLab, Research Center, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
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27
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Mas-Cuesta L, Baltruschat S, Cándido A, Catena A. Brain signatures of catastrophic events: Emotion, salience, and cognitive control. Psychophysiology 2024:e14674. [PMID: 39169571 DOI: 10.1111/psyp.14674] [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: 12/15/2023] [Revised: 06/10/2024] [Accepted: 08/08/2024] [Indexed: 08/23/2024]
Abstract
Anticipatory brain activity makes it possible to predict the occurrence of expected situations. However, events such as traffic accidents are statistically unpredictable and can generate catastrophic consequences. This study investigates the brain activity and effective connectivity associated with anticipating and processing such unexpected, unavoidable accidents. We asked 161 participants to ride a motorcycle simulator while recording their electroencephalographic activity. Of these, 90 participants experienced at least one accident while driving. We conducted both within-subjects and between-subjects comparisons. During the pre-accident period, the right inferior parietal lobe (IPL), left anterior cingulate cortex (ACC), and right insula showed higher activity in the accident condition. In the post-accident period, the bilateral orbitofrontal cortex, right IPL, bilateral ACC, and middle and superior frontal gyrus also showed increased activity in the accident condition. We observed greater effective connectivity within the nodes of the limbic network (LN) and between the nodes of the attentional networks in the pre-accident period. In the post-accident period, we also observed greater effective connectivity between networks, from the ventral attention network (VAN) to the somatomotor network and from nodes in the visual network, VAN, and default mode network to nodes in the frontoparietal network, LN, and attentional networks. This suggests that activating salience-related processes and emotional processing allows the anticipation of accidents. Once an accident has occurred, integration and valuation of the new information takes place, and control processes are initiated to adapt behavior to the new demands of the environment.
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Affiliation(s)
- Laura Mas-Cuesta
- Mind, Brain and Behavior Research Center, University of Granada, Campus de Cartuja s/n, Granada, Spain
| | - Sabina Baltruschat
- Mind, Brain and Behavior Research Center, University of Granada, Campus de Cartuja s/n, Granada, Spain
| | - Antonio Cándido
- Mind, Brain and Behavior Research Center, University of Granada, Campus de Cartuja s/n, Granada, Spain
| | - Andrés Catena
- School of Psychology, University of Granada, Campus de Cartuja s/n, Granada, Spain
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Tisserand A, Blanc F, Muller C, Durand H, Demuynck C, Ravier A, Sanna L, de Sousa PL, Botzung A, Mondino M, Philippi N. Neuroimaging of autobiographical memory in dementia with Lewy bodies: a story of insula. Brain Commun 2024; 6:fcae272. [PMID: 39210911 PMCID: PMC11358644 DOI: 10.1093/braincomms/fcae272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/17/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
Although deficits in learning and retrieving new information are well characterized in dementia with Lewy bodies, autobiographical memory has never been explored in this disease. Yet, autobiographical memory impairments are a pervasive feature of dementia, well characterized in other neurodegenerative diseases. Moreover, autobiographical memory corresponds to an extension over time of the self, which we hypothesize is altered in dementia with Lewy bodies and impairment of which could be linked to the insular atrophy occurring from an early stage of the disease. In this study, we sought to characterize autobiographical memory impairments and explore their neural correlates in dementia with Lewy bodies, on the assumption that insular damage could impact the self, including its most elaborate components, such as autobiographical memory. Twenty patients with prodromal to mild dementia with Lewy bodies were selected to participate in this exploratory study along with 20 healthy control subjects. The Autobiographical Interview was used to assess autobiographical memory. Performances were compared between patients and control subjects, and an analysis across life periods and recall conditions was performed. 3D magnetic resonance images were acquired for all participants, and correlational analyses were performed in the patient group using voxel-based morphometry. The behavioural results of the Autobiographical Interview showed that autobiographical memory performances were significantly impaired in dementia with Lewy body patients compared to control subjects in a temporally ungraded manner, for both the free recall and the specific probe conditions (P < 0.0001), though with greater improvement after probing in the patient group. Furthermore, autobiographical memory impairments were correlated with grey matter volume within right insular cortex, temporoparietal junction, precuneus, putamen, left temporal cortex, bilateral parahippocampus and cerebellum, using a threshold of P = 0.005 uncorrected. The behavioural results confirm the existence of temporally ungraded autobiographical memory impairments in dementia with Lewy bodies, from the early stage of the disease. As we expected, neuroimaging analysis revealed a role for the insula and the precuneus in autobiographical memory retrieval, two regions associated with elementary aspects of the self, among other brain regions classically associated with autobiographical memory, such as medial temporal lobe and temporoparietal junction. Our findings provide important insights regarding the involvement of the insula in the self and suggest that insular damage could lead to a global collapse of the self, including its more elaborated components, such as autobiographical memory.
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Affiliation(s)
- Alice Tisserand
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Frédéric Blanc
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Candice Muller
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Hélène Durand
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Catherine Demuynck
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Alix Ravier
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Léa Sanna
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Paulo Loureiro de Sousa
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
| | - Anne Botzung
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Mary Mondino
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
| | - Nathalie Philippi
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
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Arasappan D, Spears A, Shah S, Mayfield RD, Akula N, McMahon FJ, Jabbi M. Brain transcriptomic signatures for mood disorders and suicide phenotypes: an anterior insula and subgenual ACC network postmortem study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.14.606080. [PMID: 39185191 PMCID: PMC11343154 DOI: 10.1101/2024.08.14.606080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Mood disorders affect over ten percent of humans, but studies dissecting the brain anatomical and molecular neurobiological mechanisms underlying mood (dys)functions have not consistently identified the patterns of pathological changes in relevant brain regions. Recent studies have identified pathological changes in the anterior insula (Ant-Ins) and subgenual anterior cingulate (sgACC) brain network in mood disorders, in line with this network's role in regulating mood/affective feeling states. Here, we applied whole-tissue RNA-sequencing measures of differentially expressed genes (DEGs) in mood disorders versus (vs.) psychiatrically unaffected controls (controls) to identify postmortem molecular pathological markers for mood disorder phenotypes. Using data-driven factor analysis of the postmortem phenotypic variables to determine relevant sources of population variances, we identified DEGs associated with mood disorder-related diagnostic phenotypes by combining gene co-expression, differential gene expression, and pathway-enrichment analyses. We found downregulation/under expression of inflammatory, and protein synthesis-related genes associated with psychiatric morbidity (i.e., all co-occurring mental disorders and suicide outcomes/death by suicide) in Ant-Ins, in contrasts to upregulation of synaptic membrane and ion channel-related genes with increased psychiatric morbidity in sgACC. Our results identified a preponderance of downregulated metabolic, protein synthesis, inflammatory, and synaptic membrane DEGs associated with suicide outcomes in relation to a factor representing longevity in the Ant-Ins and sgACC (AIAC) network. Our study revealed a critical brain network molecular repertoire for mood disorder phenotypes, including suicide outcomes and longevity, and provides a framework for defining dosage-sensitive (i.e., downregulated vs. upregulated) molecular signatures for mood disorder phenotypic complexity and pathological outcomes.
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Affiliation(s)
- Dhivya Arasappan
- Center for Biomedical Research Support, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA
| | - Abigail Spears
- Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA
| | - Simran Shah
- Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA
| | - Roy D Mayfield
- Department of Neuroscience and Waggoner Center for Addiction Research, The University of Texas at Austin
| | - Nirmala Akula
- Genetic Basis of Mood & Anxiety Section, Intramural Research Program, NIMH, NIH, Bethesda, MD USA
| | - Francis J McMahon
- Genetic Basis of Mood & Anxiety Section, Intramural Research Program, NIMH, NIH, Bethesda, MD USA
| | - Mbemba Jabbi
- Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA
- Center for Learning and Memory, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA
- Mulva clinics for the Neurosciences, Dell Medical School, Austin, Texas, USA
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30
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Philips R, Baeken C, Billieux J, Harris JM, Maurage P, Muela I, Öz İT, Pabst A, Sescousse G, Vögele C, Brevers D. Brain mechanisms discriminating enactive mental simulations of running and plogging. Hum Brain Mapp 2024; 45:e26807. [PMID: 39185739 PMCID: PMC11345703 DOI: 10.1002/hbm.26807] [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: 02/19/2024] [Revised: 06/27/2024] [Accepted: 07/21/2024] [Indexed: 08/27/2024] Open
Abstract
Enactive cognition emphasizes co-constructive roles of humans and their environment in shaping cognitive processes. It is specifically engaged in the mental simulation of behaviors, enhancing the connection between perception and action. Here we investigated the core network of brain regions involved in enactive cognition as applied to mental simulations of physical exercise. We used a neuroimaging paradigm in which participants (N = 103) were required to project themselves running or plogging (running while picking-up litter) along an image-guided naturalistic trail. Using both univariate and multivariate brain imaging analyses, we find that a broad spectrum of brain activation discriminates between the mental simulation of plogging versus running. Critically, we show that self-reported ratings of daily life running engagement and the quality of mental simulation (how well participants were able to imagine themselves running) modulate the brain reactivity to plogging versus running. Finally, we undertook functional connectivity analyses centered on the insular cortex, which is a key region in the dynamic interplay between neurocognitive processes. This analysis revealed increased positive and negative patterns of insular-centered functional connectivity in the plogging condition (as compared to the running condition), thereby confirming the key role of the insular cortex in action simulation involving complex sets of mental mechanisms. Taken together, the present findings provide new insights into the brain networks involved in the enactive mental simulation of physical exercise.
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Affiliation(s)
- Roxane Philips
- Department of Behavioural and Cognitive Sciences, Institute for Health and BehaviourUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Chris Baeken
- Department of PsychiatryUniversity Hospital, UZ BrusselBrusselsBelgium
- Ghent Experimental Psychiatry (GHEP) Lab, Department of Head and Skin, Ghent University HospitalGhent UniversityGhentBelgium
- Department of Electrical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
| | - Joël Billieux
- Institute of PsychologyUniversity of LausanneLausanneSwitzerland
- Centre for Excessive Gambling, Addiction MedicineLausanne University Hospitals (CHUV)LausanneSwitzerland
| | - James Madog Harris
- Department of Behavioural and Cognitive Sciences, Institute for Health and BehaviourUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Pierre Maurage
- Louvain Experimental Psychopathology Research Group (LEP)Psychological Sciences Research Institute, UCLouvainLouvain‐la‐NeuveBelgium
| | - Ismael Muela
- Department of Experimental Psychology; Mind, Brain and Behavior Research Center (CIMCYC)University of GranadaGranadaSpain
| | - İrem Tuğçe Öz
- Louvain Experimental Psychopathology Research Group (LEP)Psychological Sciences Research Institute, UCLouvainLouvain‐la‐NeuveBelgium
| | - Arthur Pabst
- Louvain Experimental Psychopathology Research Group (LEP)Psychological Sciences Research Institute, UCLouvainLouvain‐la‐NeuveBelgium
| | - Guillaume Sescousse
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 TeamUniversity of LyonLyonFrance
| | - Claus Vögele
- Department of Behavioural and Cognitive Sciences, Institute for Health and BehaviourUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Damien Brevers
- Department of Behavioural and Cognitive Sciences, Institute for Health and BehaviourUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
- Ghent Experimental Psychiatry (GHEP) Lab, Department of Head and Skin, Ghent University HospitalGhent UniversityGhentBelgium
- Louvain Experimental Psychopathology Research Group (LEP)Psychological Sciences Research Institute, UCLouvainLouvain‐la‐NeuveBelgium
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31
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Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TLS, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga AW, O'Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Nick Bryan R, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Brain aging patterns in a large and diverse cohort of 49,482 individuals. Nat Med 2024:10.1038/s41591-024-03144-x. [PMID: 39147830 DOI: 10.1038/s41591-024-03144-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 06/20/2024] [Indexed: 08/17/2024]
Abstract
Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging. Large, diverse population studies enable identifying comprehensive and representative brain change patterns resulting from distinct but overlapping pathological and biological factors, revealing intersections and heterogeneity in affected brain regions and clinical phenotypes. Herein, we leverage a state-of-the-art deep-representation learning method, Surreal-GAN, and present methodological advances and extensive experimental results elucidating brain aging heterogeneity in a cohort of 49,482 individuals from 11 studies. Five dominant patterns of brain atrophy were identified and quantified for each individual by respective measures, R-indices. Their associations with biomedical, lifestyle and genetic factors provide insights into the etiology of observed variances, suggesting their potential as brain endophenotypes for genetic and lifestyle risks. Furthermore, baseline R-indices predict disease progression and mortality, capturing early changes as supplementary prognostic markers. These R-indices establish a dimensional approach to measuring aging trajectories and related brain changes. They hold promise for precise diagnostics, especially at preclinical stages, facilitating personalized patient management and targeted clinical trial recruitment based on specific brain endophenotypic expression and prognosis.
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Affiliation(s)
- Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- GE Healthcare, Bellevue, WA, USA
| | - Junhao Wen
- Laboratory of AI and Biomedical Science (LABS), Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sindhuja T Govindarajan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Randa Melhem
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dhivya Srinivasan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdulkadir
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Paraskevi Parmpi
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Site Rostock/Greifswald, German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University of Greifswald, Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Daniel S Marcus
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Thomas R Austin
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Lenore J Launer
- Neuroepidemiology Section, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - Aristeidis Sotiras
- Department of Radiology and Institute for Informatics, Data Science & Biostatistics, Washington University in St. Louis, St. Louis, MO, USA
| | - Mark A Espeland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Colin L Masters
- Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Maruff
- Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sid O'Bryant
- Institute for Translational Research University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Mallar M Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Sylvia Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Sterling C Johnson
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Dept of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, Baltimore, MD, USA
| | - R Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T Shinohara
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Yong Fan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Section for Precision Psychiatry, Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Haochang Shou
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M Nasrallah
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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32
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Tymofiyeva O, Sipes BS, Luks T, Hamlat EJ, Samson TE, Hoffmann TJ, Glidden DV, Jakary A, Li Y, Ngan T, Henje E, Yang TT. Interoceptive brain network mechanisms of mindfulness-based training in healthy adolescents. Front Psychol 2024; 15:1410319. [PMID: 39193038 PMCID: PMC11348390 DOI: 10.3389/fpsyg.2024.1410319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 07/18/2024] [Indexed: 08/29/2024] Open
Abstract
Introduction This study evaluated changes in the white matter of the brain and psychological health variables, resulting from a neuroscience-based mindfulness intervention, the Training for Awareness, Resilience, and Action (TARA), in a population of healthy adolescents. Methods A total of 100 healthy adolescents (57 female, age ranges 14-18 years) were randomized into the 12-week TARA intervention or a waitlist-control group. All participants were imaged with diffusion MRI to quantify white matter connectivity between brain regions. Imaging occurred at baseline/randomization and after 12 weeks of baseline (pre- and post-intervention in the TARA group). We hypothesized that structural connectivity in the striatum and interoceptive networks would increase following the TARA intervention, and that, this increased connectivity would relate to psychological health metrics from the Strengths and Difficulties Questionnaire (SDQ) and the Insomnia Severity Index (ISI). The TARA intervention and all assessments, except for the MRIs, were fully remotely delivered using secure telehealth platforms and online electronic data capture systems. Results The TARA intervention showed high consistency, tolerability, safety, recruitment, fidelity, adherence, and retention. After 12 weeks, the TARA group, but not controls, also demonstrated significantly improved sleep quality (p = 0.02), and changes in the right putamen node strength were related to this improved sleep quality (r = -0.42, p = 0.006). Similarly, the TARA group, but not controls, had significantly increased right insula node strength related to improved emotional well-being (r = -0.31, p = 0.04). Finally, we used the network-based statistics to identify a white matter interoception network that strengthened following TARA (p = 0.009). Discussion These results suggest that the TARA mindfulness-based intervention in healthy adolescents is feasible and safe, and it may act to increase structural connectivity strength in interoceptive brain regions. Furthermore, these white matter changes are associated with improved adolescent sleep quality and emotional well-being. Our results suggest that TARA could be a promising fully remotely delivered intervention for improving psychological well-being in adolescents. As our findings suggest that TARA affects brain regions in healthy adolescents, which are also known to be altered during depression in adolescents, future studies will examine the effects of TARA on depressed adolescents. Clinical trial registration https://clinicaltrials.gov/study/NCT04254796.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Benjamin S. Sipes
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Tracy Luks
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Elissa J. Hamlat
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Tara E. Samson
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Thomas J. Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Angela Jakary
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Yi Li
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Tiffany Ngan
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva Henje
- Department of Clinical Science/Child- and Adolescent Psychiatry, Umeå University, Umeå, Sweden
| | - Tony T. Yang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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Wu H, Huang Y, Qin P, Wu H. Individual Differences in Bodily Self-Consciousness and Its Neural Basis. Brain Sci 2024; 14:795. [PMID: 39199487 PMCID: PMC11353174 DOI: 10.3390/brainsci14080795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/02/2024] [Accepted: 08/02/2024] [Indexed: 09/01/2024] Open
Abstract
Bodily self-consciousness (BSC), a subject of interdisciplinary interest, refers to the awareness of one's bodily states. Previous studies have noted the existence of individual differences in BSC, while neglecting the underlying factors and neural basis of such individual differences. Considering that BSC relied on integration from both internal and external self-relevant information, we here review previous findings on individual differences in BSC through a three-level-self model, which includes interoceptive, exteroceptive, and mental self-processing. The data show that cross-level factors influenced individual differences in BSC, involving internal bodily signal perceptibility, multisensory processing principles, personal traits shaped by environment, and interaction modes that integrate multiple levels of self-processing. Furthermore, in interoceptive processing, regions like the anterior cingulate cortex and insula show correlations with different perceptions of internal sensations. For exteroception, the parietal lobe integrates sensory inputs, coordinating various BSC responses. Mental self-processing modulates differences in BSC through areas like the medial prefrontal cortex. For interactions between multiple levels of self-processing, regions like the intraparietal sulcus involve individual differences in BSC. We propose that diverse experiences of BSC can be attributed to different levels of self-processing, which moderates one's perception of their body. Overall, considering individual differences in BSC is worth amalgamating diverse methodologies for the diagnosis and treatment of some diseases.
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Affiliation(s)
- Haiyan Wu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; (H.W.); (Y.H.)
| | - Ying Huang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; (H.W.); (Y.H.)
| | - Pengmin Qin
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; (H.W.); (Y.H.)
- Pazhou Lab, Guangzhou 510330, China
| | - Hang Wu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China
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Radoman M, Phan KL, Ajilore OA, Gorka SM. Altered effective connectivity during threat anticipation in individuals with alcohol use disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00211-8. [PMID: 39117274 DOI: 10.1016/j.bpsc.2024.07.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/18/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND A developing theory and recent research suggest that heightened reactivity to uncertain stressors or threats may be an important individual difference factor that facilitates excessive drinking as a means of avoidance-based coping and characterizes individuals with current and past alcohol use disorder (AUD). Neuroimaging studies of unpredictable threat processing have repeatedly demonstrated activation of the anterior insula (AIC), anteromedial (AM) thalamus and dorsal anterior cingulate cortex (dACC). The present study aimed to understand how these three regions function as a network during anticipation of unpredictable threat (and predictable threat). METHODS Participants were 43 young adults (aged 21-30) with AUD and 26 healthy controls. Functional magnetic resonance imaging and dynamic causal modeling were used to study inter-regional effective connectivities and predictable and unpredictable threat-related modulations thereof within this network. Parametric empirical Bayesian modeling was used to conduct between-group comparisons in effective connectivities. RESULTS During unpredictable threat trials, the increased projection from the right AM thalamus to the right AIC was significantly present only in the AUD group. This directional influence was stronger among individuals who on average consumed more drinks per week. As expected, we found no group differences in modulatory changes to effective connectivities during predictable threat trials. CONCLUSIONS To our knowledge, this is the first study to examine directional interactions between key frontolimbic regions during anticipation of unpredictable and predictable threat and demonstrate the importance of 'bottom-up' thalamic-insular projections during unpredictable threat processing in AUD. Prospective studies are warranted to determine whether this association may be causal.
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Affiliation(s)
- Milena Radoman
- Department of Radiology and Biomedical Imaging, Yale University, 2 Church Street South, New Haven, CT 06511, USA; Department of Psychiatry, University of Illinois at Chicago, 1601 W Taylor Street, Chicago, IL 60612, USA.
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, Ohio State University, 1670 Upham Drive, Columbus, OH 43205, USA
| | - Olusola A Ajilore
- Department of Psychiatry, University of Illinois at Chicago, 1601 W Taylor Street, Chicago, IL 60612, USA
| | - Stephanie M Gorka
- Department of Psychiatry and Behavioral Health, Ohio State University, 1670 Upham Drive, Columbus, OH 43205, USA
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Shao R, Wang T, Hang C, An L, Wang X, Zhang L, Yu J, Shan Z, Yang Q, Tang Z. Alteration in early resting‑state functional MRI activity in comatose survivors of cardiac arrest: a prospective cohort study. Crit Care 2024; 28:260. [PMID: 39095884 PMCID: PMC11295486 DOI: 10.1186/s13054-024-05045-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 07/21/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND This study aimed to explore the characteristics of abnormal regional resting-state functional magnetic resonance imaging (rs-fMRI) activity in comatose patients in the early period after cardiac arrest (CA), and to investigate their relationships with neurological outcomes. We also explored the correlations between jugular venous oxygen saturation (SjvO2) and rs-fMRI activity in resuscitated comatose patients. We also examined the relationship between the amplitude of the N20-baseline and the rs-fMRI activity within the intracranial conduction pathway of somatosensory evoked potentials (SSEPs). METHODS Between January 2021 and January 2024, eligible post-resuscitated patients were screened to undergo fMRI examination. The amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), and regional homogeneity (ReHo) of rs-fMRI blood oxygenation level-dependent (BOLD) signals were used to characterize regional neural activity. Neurological outcomes were evaluated using the Glasgow-Pittsburgh cerebral performance category (CPC) scale at 3 months after CA. RESULTS In total, 20 healthy controls and 31 post-resuscitated patients were enrolled in this study. The rs-fMRI activity of resuscitated patients revealed complex changes, characterized by increased activity in some local brain regions and reduced activity in others compared to healthy controls (P < 0.05). However, the mean ALFF values of the whole brain were significantly greater in CA patients (P = 0.011). Among the clusters of abnormal rs-fMRI activity, the cluster values of ALFF in the left middle temporal gyrus and inferior temporal gyrus and the cluster values of ReHo in the right precentral gyrus, superior frontal gyrus and middle frontal gyrus were strongly correlated with the CPC score (P < 0.001). There was a strong correlation between the mean ALFF and SjvO2 in CA patients (r = 0.910, P < 0.001). The SSEP N20-baseline amplitudes in CA patients were negatively correlated with thalamic rs-fMRI activity (all P < 0.001). CONCLUSIONS This study revealed that abnormal rs-fMRI BOLD signals in resuscitated patients showed complex changes, characterized by increased activity in some local brain regions and reduced activity in others. Abnormal BOLD signals were associated with neurological outcomes in resuscitated patients. The mean ALFF values of the whole brain were closely related to SjvO2 levels, and changes in the thalamic BOLD signals correlated with the N20-baseline amplitudes of SSEP responses. TRIAL REGISTRATION NCT05966389 (Registered July 27, 2023).
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Affiliation(s)
- Rui Shao
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Tao Wang
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Chenchen Hang
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Le An
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Xingsheng Wang
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Luying Zhang
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Jingfei Yu
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Zhenyu Shan
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China.
| | - Ziren Tang
- Department of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, 8# Worker's Stadium South Road, Chao-yang District, Beijing, 100020, China.
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Strigo IA, Craig ADB, Simmons AN. Expectation of pain and relief: A dynamical model of the neural basis for pain-trauma co-morbidity. Neurosci Biobehav Rev 2024; 163:105750. [PMID: 38849067 DOI: 10.1016/j.neubiorev.2024.105750] [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: 01/25/2024] [Revised: 05/30/2024] [Accepted: 06/02/2024] [Indexed: 06/09/2024]
Abstract
Posttraumatic Stress Disorder (PTSD) is highly co-morbid with chronic pain conditions. When present, PTSD significantly worsens chronic pain outcomes. Likewise, pain contributes to a more severe PTSD as evidenced by greater disability, more frequent use of harmful opioid analgesics and increased pain severity. The biomechanism behind this comorbidity is incompletely understood, however recent work strongly supports the widely-accepted role of expectation, in the entanglement of chronic pain and trauma symptoms. This work has shown that those with trauma have a maladaptive brain response while expecting stress and pain, whereas those with chronic pain may have a notable impairment in brain response while expecting pain relief. This dynamical expectation model of the interaction between neural systems underlying expectation of pain onset (traumatic stress) and pain offset (chronic pain) is biologically viable and may provide a biomechanistic insight into pain-trauma comorbidity. These predictive mechanisms work through interoceptive pathways in the brain critically the insula cortex. Here we highlight how the neural expectation-related mechanisms augment the existing models of pain and trauma to better understand the dynamics of pain and trauma comorbidity. These ideas will point to targeted complementary clinical approaches, based on mechanistically separable neural biophenotypes for the entanglement of chronic pain and trauma symptoms.
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Affiliation(s)
- Irina A Strigo
- Emotion and Pain Laboratory, San Francisco Veterans Affairs Health Care Center, 4150 Clement Street, San Francisco, CA 94121, USA; Department of Psychiatry, University of California San Francisco, 401 Parnassus Ave, San Francisco, CA 94143, USA.
| | | | - Alan N Simmons
- Center of Excellence in Stress and Mental Health, San Diego Veterans Affairs Health Care Center, 3350 La Jolla Village Dr, San Diego, CA 92161, USA; Stress and Neuroimaging Laboratory, San Diego Veterans Affairs Health Care Center, 3350 La Jolla Village Drive, MC 151-B, San Diego, CA 92161, USA; Department of Psychiatry, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
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Galus W. Mind-brain identity theory confirmed? Cogn Neurodyn 2024; 18:1467-1487. [PMID: 39104703 PMCID: PMC11297862 DOI: 10.1007/s11571-023-09992-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 06/16/2023] [Accepted: 07/04/2023] [Indexed: 08/07/2024] Open
Abstract
Presented here is a novel graphical, structural, and functional model of the embodied mind. Despite strictly adhering to a physicalistic and reductionist approach, this model successfully resolves the apparent contradiction between the thesis regarding the causal closure of the physical realm and the widely held common-sense belief that the mental realm can influence physical behavior. Furthermore, it substantiates the theory of mind-brain identity while shedding light on its neural foundation. Consciousness, viewed as an epiphenomenon in certain respects, simultaneously possesses causal potency. These two aspects operate concurrently through distinct brain processes. Within the paper, particular emphasis is placed on the significance of qualia and emotions, accompanied by an explanation of their phenomenal nature grounded in the perceptual theory of emotions. The proposed model elucidates how autonomous agents can deliberate on various action scenarios and consciously select the most optimal ones for themselves, considering their knowledge of the world, motivations, preferences, and emotions.
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Zahedi A, Jay Lynn S, Sommer W. How hypnotic suggestions work - A systematic review of prominent theories of hypnosis. Conscious Cogn 2024; 123:103730. [PMID: 39032268 DOI: 10.1016/j.concog.2024.103730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/10/2024] [Accepted: 07/13/2024] [Indexed: 07/23/2024]
Abstract
In recent decades, hypnosis has increasingly moved into the mainstream of scientific inquiry. Hypnotic suggestions are frequently implemented in behavioral, neurocognitive, and clinical investigations and interventions. Despite abundant reports about the effectiveness of suggestions in altering behavior, perception, cognition, and agency, no consensus exists regarding the mechanisms driving these changes. This article reviews competing theoretical accounts that address the genesis of subjective, behavioral, and neurophysiological responses to hypnotic suggestions. We systematically analyze the broad landscape of hypnosis theories that best represent our estimation of the current status and future avenues of scientific thinking. We start with procedural descriptions of hypnosis, suggestions, and hypnotizability, followed by a comparative analysis of systematically selected theories. Considering that prominent theoretical perspectives emphasize different aspects of hypnosis, our review reveals that each perspective possesses salient strengths, limitations, and heuristic values. We highlight the necessity of revisiting extant theories and formulating novel evidence-based accounts of hypnosis.
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Affiliation(s)
- Anoushiravan Zahedi
- Department of Psychology, University of Muenster, Germany; Department of Psychology, Humboldt-Universitat zu Berlin, Germany; Neuroscience Research Center, Charité-Universitätsmedizin Berlin, Germany.
| | - Steven Jay Lynn
- Psychology Department, Binghamton University, Binghamton, NY, USA
| | - Werner Sommer
- Department of Psychology, Humboldt-Universitat zu Berlin, Germany; Department of Psychology, Zhejiang Normal University, Jin Hua, China
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Campillo-Ferrer T, Alcaraz-Sánchez A, Demšar E, Wu HP, Dresler M, Windt J, Blanke O. Out-of-body experiences in relation to lucid dreaming and sleep paralysis: A theoretical review and conceptual model. Neurosci Biobehav Rev 2024; 163:105770. [PMID: 38880408 DOI: 10.1016/j.neubiorev.2024.105770] [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: 01/30/2024] [Revised: 05/31/2024] [Accepted: 06/11/2024] [Indexed: 06/18/2024]
Abstract
Out-of-body experiences (OBEs) are characterized by the subjective experience of being located outside the physical body. Little is known about the neurophysiology of spontaneous OBEs, which are often reported by healthy individuals as occurring during states of reduced vigilance, particularly in proximity to or during sleep (sleep-related OBEs). In this paper, we review the current state of research on sleep-related OBEs and hypothesize that maintaining consciousness during transitions from wakefulness to REM sleep (sleep-onset REM periods) may facilitate sleep-related OBEs. Based on this hypothesis, we propose a new conceptual model that potentially describes the relationship between OBEs and sleep states. The model sheds light on the phenomenological differences between sleep-related OBEs and similar states of consciousness, such as lucid dreaming (the realization of being in a dream state) and sleep paralysis (feeling paralyzed while falling asleep or waking up), and explores the potential polysomnographic features underlying sleep-related OBEs. Additionally, we apply the predictive coding framework and suggest a connecting link between sleep-related OBEs and OBEs reported during wakefulness.
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Affiliation(s)
- Teresa Campillo-Ferrer
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Neuropsychology, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.
| | - Adriana Alcaraz-Sánchez
- Centre for Philosophical Psychology, Department of Philosophy, University of Antwerp, Antwerp, Belgium
| | - Ema Demšar
- Monash Centre for Consciousness and Contemplative Studies, Melbourne, Australia; Monash University, Department of Philosophy, Melbourne, Australia
| | - Hsin-Ping Wu
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Clinical Neuroscience, Geneva University Hospital, Geneva, Switzerland
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jennifer Windt
- Monash Centre for Consciousness and Contemplative Studies, Melbourne, Australia; Monash University, Department of Philosophy, Melbourne, Australia
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Clinical Neuroscience, Geneva University Hospital, Geneva, Switzerland
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Strigo IA, Kadlec M, Mitchell JM, Simmons AN. Identification of group differences in predictive anticipatory biasing of pain during uncertainty: preparing for the worst but hoping for the best. Pain 2024; 165:1735-1747. [PMID: 38501988 PMCID: PMC11247452 DOI: 10.1097/j.pain.0000000000003207] [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: 08/23/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 03/20/2024]
Abstract
ABSTRACT Pain anticipation during conditions of uncertainty can unveil intrinsic biases, and understanding these biases can guide pain treatment interventions. This study used machine learning and functional magnetic resonance imaging to predict anticipatory responses in a pain anticipation experiment. One hundred forty-seven participants that included healthy controls (n = 57) and individuals with current and/or past mental health diagnosis (n = 90) received cues indicating upcoming pain stimuli: 2 cues predicted high and low temperatures, while a third cue introduced uncertainty. Accurate differentiation of neural patterns associated with specific anticipatory conditions was observed, involving activation in the anterior short gyrus of the insula and the nucleus accumbens. Three distinct response profiles emerged: subjects with a negative bias towards high pain anticipation, those with a positive bias towards low pain anticipation, and individuals whose predictions during uncertainty were unbiased. These profiles remained stable over one year, were consistent across diagnosed psychopathologies, and correlated with cognitive coping styles and underlying insula anatomy. The findings suggest that individualized and stable pain anticipation occurs in uncertain conditions.
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Affiliation(s)
- Irina A. Strigo
- Emotion and Pain Laboratory, San Francisco Veterans Affairs Health Care Center, San Francisco, CA, United States
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, United States
| | - Molly Kadlec
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Health Care Center, San Francisco, CA, United States
| | - Jennifer M. Mitchell
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, United States
- Department of Neurology, University of California San Francisco, San Francisco, CA, United States
| | - Alan N. Simmons
- San Diego Veterans Affairs Health Care Center, San Diego, CA, United States
- Department of Psychiatry, University of California San Diego, San Diego, CA, United States
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41
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Citkovitz C, Graca S, Anderson B, Conboy LA, Gold MA, Hirsch E, Lumiere K, Phelps S, Schnyer RN, Smith RJ, Taylor-Swanson L. Acupuncture Practice-Based Research in the Age of Artificial Intelligence: Developments as of May, 2024. JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE 2024; 30:712-715. [PMID: 38973572 DOI: 10.1089/jicm.2024.0459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Affiliation(s)
- Claudia Citkovitz
- New England School of Acupuncture, Massachusetts College of Pharmacy and Health Sciences, Worcester, Massachusetts, USA
| | - Sandro Graca
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Department of Research, Northern College of Acupuncture, York, United Kingdom
| | - Belinda Anderson
- College of Health Professions, Pace University, New York, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Lisa A Conboy
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Faculty, Seattle Institute of East Asian Medicine, Seattle, Washington, USA
| | - Melanie A Gold
- Mailman School of Public Health, Columbia University Irving Medical Center (CUIMC), New York, New York, USA
| | - Eric Hirsch
- Community Health Action, Staten Island, New York, USA
| | - Kathleen Lumiere
- Convergent Points: An East West Case Report Journal, Bastyr University, Kenmore, Washington, USA
| | - Scott Phelps
- Susan Samueli Integrative Health Institute, University of California, Irvine, Irvine, California, USA
| | - Rosa N Schnyer
- Austin School of Nursing, University of Texas, Austin, Texas, USA
| | - Ryan J Smith
- 5 Point App Inc., New York City, NY, USA
- 5 Point Acupuncture, New York City, NY, USA
| | - Lisa Taylor-Swanson
- College of Nursing, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, Australia
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42
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Rajiah R, Takahashi K, Aziz Q, Ruffle JK. Brain effect of transcutaneous vagal nerve stimulation: A meta-analysis of neuroimaging evidence. Neurogastroenterol Motil 2024; 36:e14484. [PMID: 36281057 DOI: 10.1111/nmo.14484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 06/23/2022] [Accepted: 09/12/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Dysfunction in the autonomic nervous system is common throughout many functional gastrointestinal diseases (FGIDs) that have been historically difficult to treat. In recent years, transcutaneous vagal nerve stimulation (tVNS) has shown promise for improving FGID symptoms. However, the brain effects of tVNS remain unclear, which we investigated by neuroimaging meta-analysis. METHODS A total of 157 studies were identified, 4 of which were appropriate for inclusion, encompassing 60 healthy human participants. Using activation likelihood analysis estimation, we statistically quantified functional brain activity changes across three domains: (1) tVNS vs. null stimulation, (2) tVNS vs. sham stimulation, and (3) sham stimulation vs. null stimulation. KEY RESULTS tVNS significantly increased activity in the insula, anterior cingulate, inferior and superior frontal gyri, caudate and putamen, and reduced activity in the hippocampi, occipital fusiform gyri, temporal pole, and middle temporal gyri, when compared to null stimulation (all corrected p < 0.005). tVNS increased activity in the anterior cingulate gyrus, left thalamus, caudate, and paracingulate gyrus and reduced activity in right thalamus, posterior cingulate cortex, and temporal fusiform cortex, when compared to sham stimulation (all corrected p < 0.005). Sham stimulation significantly increased activity in the insula and reduced activity in the posterior cingulate and paracingulate gyrus (all corrected p < 0.001), when contrasted to null stimulation. CONCLUSIONS Brain effects of tVNS localize to regions associated with both physiological autonomic regulation and regions whose activity is modulated across numerous FGIDs, which may provide a neural basis for efficacy of this treatment. Functional activity differences between sham and null stimulation illustrate the importance of robust control procedures for future trials.
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Affiliation(s)
- Rebekah Rajiah
- Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Kazuya Takahashi
- Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Qasim Aziz
- Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - James K Ruffle
- Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, London, UK
- UCL Queen Square Institute of Neurology, London, UK
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Perera MPN, Gotsis ES, Bailey NW, Fitzgibbon BM, Fitzgerald PB. Exploring functional connectivity in large-scale brain networks in obsessive-compulsive disorder: a systematic review of EEG and fMRI studies. Cereb Cortex 2024; 34:bhae327. [PMID: 39152672 PMCID: PMC11329673 DOI: 10.1093/cercor/bhae327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/16/2024] [Accepted: 07/25/2024] [Indexed: 08/19/2024] Open
Abstract
Obsessive-compulsive disorder (OCD) is a debilitating psychiatric condition that is difficult to treat due to our limited understanding of its pathophysiology. Functional connectivity in brain networks, as evaluated through neuroimaging studies, plays a pivotal role in understanding OCD. While both electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have been extensively employed in OCD research, few have fully synthesized their findings. To bridge this gap, we reviewed 166 studies (10 EEG, 156 fMRI) published up to December 2023. In EEG studies, OCD exhibited lower connectivity in delta and alpha bands, with inconsistent findings in other frequency bands. Resting-state fMRI studies reported conflicting connectivity patterns within the default mode network (DMN) and sensorimotor cortico-striato-thalamo-cortical (CSTC) circuitry. Many studies observed decreased resting-state connectivity between the DMN and salience network (SN), implicating the 'triple network model' in OCD. Task-related hyperconnectivity within the DMN-SN and hypoconnectivity between the SN and frontoparietal network suggest OCD-related cognitive inflexibility, potentially due to triple network dysfunction. In conclusion, our review highlights diverse connectivity differences in OCD, revealing complex brain network interplay that contributes to symptom manifestation. However, the presence of conflicting findings underscores the necessity for targeted research to achieve a comprehensive understanding of the pathophysiology of OCD.
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Affiliation(s)
- M Prabhavi N Perera
- College of Health and Medicine, Australian National University, Building 4, The Canberra Hospital, Hospital Rd, Garran ACT 2605, Australia
- Monarch Research Institute, Monarch Mental Health Group, Level 4, 131 York Street Sydney NSW 2000, Australia
| | - Efstathia S Gotsis
- College of Health and Medicine, Australian National University, Building 4, The Canberra Hospital, Hospital Rd, Garran ACT 2605, Australia
- Monarch Research Institute, Monarch Mental Health Group, Level 4, 131 York Street Sydney NSW 2000, Australia
| | - Neil W Bailey
- College of Health and Medicine, Australian National University, Building 4, The Canberra Hospital, Hospital Rd, Garran ACT 2605, Australia
- Monarch Research Institute, Monarch Mental Health Group, Level 4, 131 York Street Sydney NSW 2000, Australia
| | - Bernadette M Fitzgibbon
- College of Health and Medicine, Australian National University, Building 4, The Canberra Hospital, Hospital Rd, Garran ACT 2605, Australia
- Monarch Research Institute, Monarch Mental Health Group, Level 4, 131 York Street Sydney NSW 2000, Australia
| | - Paul B Fitzgerald
- College of Health and Medicine, Australian National University, Building 4, The Canberra Hospital, Hospital Rd, Garran ACT 2605, Australia
- Monarch Research Institute, Monarch Mental Health Group, Level 4, 131 York Street Sydney NSW 2000, Australia
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Gao XX, Zheng QX, Chen XQ, Jiang XM, Liao YP, Pan YQ, Zou JJ, Liu G. Intuitive eating was associated with anxiety, depression, pregnancy weight and blood glucose in women with gestational diabetes mellitus: a prospective longitudinal study. Front Nutr 2024; 11:1409025. [PMID: 39135553 PMCID: PMC11318279 DOI: 10.3389/fnut.2024.1409025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 07/10/2024] [Indexed: 08/15/2024] Open
Abstract
Background Outside of pregnancy, intuitive eating (IE) is associated with lower body weight, blood glucose, and higher positive mood. However, little was known about the relationship between IE and anxiety-depression in the GDM population. Thus, this study aimed to investigate the association of IE with anxiety and depression, pregnancy weight and pregnancy blood glucose in the first and second GDM visit. Methods Data from 310 pregnant women with GDM from the Fujian Maternal and Child Health Hospital Trial (Approval Number: 2020Y9133) were analyzed. IE was assessed using the Intuitive Eating Scale-2 subscales of Eating for Physiological Reasons rather than Emotional Reasons (EPR), Relying on Hunger and Satiety Cues (RHSC) and Body-Food Choice Consistency (B-FCC). Observations included weight, body mass index (BMI), fasting plasma glucose (FPG) and 2-h postprandial blood glucose; the Hospital Anxiety and Depression Scale (HADS) was used to assess the level of anxiety and depression in pregnant women with GDM. Linear regression analysis was used to assess the correlation between IE and anxiety, depression, pregnancy blood glucose and weight. Results The cross-sectional analysis showed that the EPR eating behavior was negatively correlated with anxiety and depression, and the B-FCC eating behavior was negatively correlated with depression at both the first and second GDM visit; in addition, the B-FCC eating behavior was associated with lower BMI in the third trimester (all p < 0.05). In longitudinal analyses, the EPR eating behavior in the first visit for GDM predicted lower levels of anxiety and depression in the second GDM visit, whereas the RHSC eating behavior in the first visit for GDM was associated with lower FPG in the second GDM visit (all p < 0.01). Conclusion These results suggest that practicing intuitive eating may be beneficial and that higher intuitive eating adherence can lead to lower levels of anxiety and depression and more ideal gestational weight and blood glucose values.
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Affiliation(s)
- Xiao xia Gao
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Qing xiang Zheng
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Xiao qian Chen
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Xiu min Jiang
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yan ping Liao
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yu qing Pan
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Jing jing Zou
- Mindong Hospital Affiliated to Fujian Medical University, Ningde, China
| | - Gaoqian Liu
- Lishi District Changzhi Road Primary School, Lüliang, China
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45
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Ghaziri J, Fei P, Tucholka A, Obaid S, Boucher O, Rouleau I, Nguyen DK. Resting-State Functional Connectivity Profile of Insular Subregions. Brain Sci 2024; 14:742. [PMID: 39199437 PMCID: PMC11352390 DOI: 10.3390/brainsci14080742] [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: 06/20/2024] [Revised: 07/18/2024] [Accepted: 07/24/2024] [Indexed: 09/01/2024] Open
Abstract
The insula is often considered the fifth lobe of the brain and is increasingly recognized as one of the most connected regions in the brain, with widespread connections to cortical and subcortical structures. As a follow-up to our previous tractography work, we investigated the resting-state functional connectivity (rsFC) profiles of insular subregions and assessed their concordance with structural connectivity. We used the CONN toolbox to analyze the rsFC of the same 19 insular regions of interest (ROIs) we used in our prior tractography work and regrouped them into six subregions based on their connectivity pattern similarity. Our analysis of 50 healthy participants confirms the known broad connectivity of the insula and shows novel and specific whole-brain and intra-connectivity patterns of insular subregions. By examining such subregions, our findings provide a more detailed pattern of connectivity than prior studies that may prove useful for comparison between patients.
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Affiliation(s)
- Jimmy Ghaziri
- Département de Psychologie, Université du Québec à Montréal, Montréal, QC H2X 3P2, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
| | - Phillip Fei
- Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Chicoutimi, QC J4L 1C9, Canada
| | - Alan Tucholka
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, 08005 Barcelona, Spain
- Pixyl Medical, 38700 Grenoble, France
| | - Sami Obaid
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
| | - Olivier Boucher
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
- Service de Neurologie, Centre Hospitalier de l’Université de Montréal (CHUM), Montréal, QC H2X 0C1, Canada
| | - Isabelle Rouleau
- Département de Psychologie, Université du Québec à Montréal, Montréal, QC H2X 3P2, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
| | - Dang K. Nguyen
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
- Service de Neurologie, Centre Hospitalier de l’Université de Montréal (CHUM), Montréal, QC H2X 0C1, Canada
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Su TJ, Lin CHJ, Liu YL, Hsueh HW, Hsieh ST, Chao CC, Chiang MC. Altered connectivity of central autonomic network: effects of dysautonomia in hereditary transthyretin amyloidosis with polyneuropathy. Amyloid 2024:1-9. [PMID: 39044725 DOI: 10.1080/13506129.2024.2383450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 06/23/2024] [Accepted: 07/17/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Hereditary transthyretin amyloidosis with polyneuropathy (ATTRv-PN) is a progressive fatal disorder caused by deposition of mutant transthyretin (TTR) amyloids mainly in the nerves and heart. Autonomic dysfunction is a major disabling manifestation, affecting 90% of patients with late-onset ATTRv-PN. The current study aimed to investigate brain functional alterations associated with dysautonomia due to peripheral autonomic nerve degeneration in ATTRv-PN. METHODS Resting-state functional MRI data were acquired from 43 ATTRv-PN patients predominantly of A97S (p.A117S) genotype, and the functional connectivity of central autonomic regions was assessed. RESULTS Compared with age-matched healthy controls, the ATTRv-PN patients exhibited (1) reduced functional connectivity of the central autonomic regions such as hypothalamus, amygdala, anterior insula, and middle cingulate cortex with brain areas of the limbic, frontal, and somatosensory systems, and (2) correlations of reduced functional autonomic connectivity with the severity of autonomic dysfunction especially orthostatic intolerance, decreased heart rate variability, and greater clinical disability. CONCLUSIONS Our findings provide evidence linking peripheral autonomic dysfunction with altered connectivity in the central autonomic network in ATTRv-PN.
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Affiliation(s)
- Tsai-Jou Su
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chien-Ho Janice Lin
- Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Yeong-An Orthopedic and Physical Therapy Clinic, Taipei, Taiwan
| | - Yen-Lin Liu
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Hsueh-Wen Hsueh
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Sung-Tsang Hsieh
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Anatomy and Cell Biology, National Taiwan University College of Medicine, Taipei, Taiwan
- Center of Precision Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chi-Chao Chao
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Chang Chiang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
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47
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Seifzadeh S, Kostek B. Exploring the technological dimension of Autonomous sensory meridian response-induced physiological responses. PeerJ 2024; 12:e17754. [PMID: 39035154 PMCID: PMC11260406 DOI: 10.7717/peerj.17754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 06/25/2024] [Indexed: 07/23/2024] Open
Abstract
Background In recent years, the scientific community has been captivated by the intriguing Autonomous sensory meridian response (ASMR), a unique phenomenon characterized by tingling sensations originating from the scalp and propagating down the spine. While anecdotal evidence suggests the therapeutic potential of ASMR, the field has witnessed a surge of scientific interest, particularly through the use of neuroimaging techniques including functional magnetic resonance imaging (fMRI) as well as electroencephalography (EEG) and physiological measures such as eye tracking (Pupil Diameter), heart rate (HR), heartbeat-evoked potential (HEP), blood pressure (BP), pulse rates (PR), finger photoplethysmography (PPG), and skin conductance (SC). This article is intended to provide a comprehensive overview of technology's contributions to the scientific elucidation of ASMR mechanisms. Methodology A meticulous literature review was undertaken to identify studies that have examined ASMR using EEG and physiological measurements. The comprehensive search was conducted across databases such as PUBMED, SCOPUS, and IEEE, using a range of relevant keywords such as 'ASMR', 'Autonomous sensory meridian response', 'EEG', 'fMRI', 'electroencephalography', 'physiological measures', 'heart rate', 'skin conductance', and 'eye tracking'. This rigorous process yielded a substantial number of 63 PUBMED and 166 SCOPUS-related articles, ensuring the inclusion of a wide range of high-quality research in this review. Results The review uncovered a body of research utilizing EEG and physiological measures to explore ASMR's effects. EEG studies have revealed distinct patterns of brain activity associated with ASMR experiences, particularly in regions implicated in emotional processing and sensory integration. In physiological measurements, a decrease in HR and an increase in SC and pupil diameter indicate relaxation and increased attention during ASMR-triggered stimuli. Conclusions The findings of this review underscore the significance of EEG and physiological measures in unraveling the psychological and physiological effects of ASMR. ASMR experiences have been associated with unique neural signatures, while physiological measures provide valuable insights into the autonomic responses elicited by ASMR stimuli. This review not only highlights the interdisciplinary nature of ASMR research but also emphasizes the need for further investigation to elucidate the mechanisms underlying ASMR and explore its potential therapeutic applications, thereby paving the way for the development of novel therapeutic interventions.
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Affiliation(s)
- Sahar Seifzadeh
- Doctoral School of Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdańsk University of Technology, Gdansk, N/A, Poland
| | - Bozena Kostek
- Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gdańsk University of Technology, Gdansk, N/A, Poland
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48
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K. K, M. D, B. VS, A. L, M. L. Down-modulation of functional ventral striatum activation for emotional face stimuli in patients with insula damage. PLoS One 2024; 19:e0301940. [PMID: 39018294 PMCID: PMC11253967 DOI: 10.1371/journal.pone.0301940] [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: 08/25/2023] [Accepted: 03/25/2024] [Indexed: 07/19/2024] Open
Abstract
Insula damage results in substantial impairments in facial emotion recognition. In particular, left hemispheric damage appears to be associated with poorer recognition of aversively rated facial expressions. Functional imaging can provide information on differences in the processing of these stimuli in patients with insula lesions when compared to healthy matched controls (HCs). We therefore investigated 17 patients with insula lesions in the chronic stage following stroke and 13 HCs using a passive-viewing task with pictures of facial expressions testing the blood oxygenation dependent (BOLD) effect in predefined regions of interest (ROIs). We expected a decrease in functional activation in an area modulating emotional response (left ventral striatum) but not in the facial recognition areas in the left inferior fusiform gyrus. Quantification of BOLD-response in ROIs but also voxel-based statistics confirmed this hypothesis. The voxel-based analysis demonstrated that the decrease in BOLD in the left ventral striatum was driven by left hemispheric damaged patients (n = 10). In our patient group, insula activation was strongly associated with the intensity rating of facial expressions. In conclusion, the combination of performance testing and functional imaging in patients following circumscribed brain damage is a challenging method for understanding emotion processing in the human brain.
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Affiliation(s)
- Klepzig K.
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Domin M.
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - von Sarnowski B.
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Lischke A.
- Department of Psychology, Medical School Hamburg, Hamburg, Germany
- Institute of Clinical Psychology and Psychotherapy, Medical School Hamburg, Hamburg, Germany
| | - Lotze M.
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
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49
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Mahgoub R, Bayram AK, Spencer DD, Alkawadri R. Functional parcellation of the cingulate gyrus by electrical cortical stimulation: a synthetic literature review and future directions. J Neurol Neurosurg Psychiatry 2024; 95:704-721. [PMID: 38242679 DOI: 10.1136/jnnp-2023-332246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/30/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND The cingulate gyrus (CG), a brain structure above the corpus callosum, is recognised as part of the limbic system and plays numerous vital roles. However, its full functional capacity is yet to be understood. In recent years, emerging evidence from imaging modalities, supported by electrical cortical stimulation (ECS) findings, has improved our understanding. To our knowledge, there is a limited number of systematic reviews of the cingulate function studied by ECS. We aim to parcellate the CG by reviewing ECS studies. DESIGN/METHODS We searched PubMed and Embase for studies investigating CG using ECS. A total of 30 studies met the inclusion criteria. We evaluated the ECS responses across the cingulate subregions and summarised the reported findings. RESULTS We included 30 studies (totalling 887 patients, with a mean age of 31.8±9.8 years). The total number of electrodes implanted within the cingulate was 3028 electrode contacts; positive responses were obtained in 941 (31.1%, median percentages, 32.3%, IQR 22.2%-64.3%). The responses elicited from the CG were as follows. Simple motor (8 studies, 26.7 %), complex motor (10 studies, 33.3%), gelastic with and without mirth (7 studies, 23.3%), somatosensory (9 studies, 30%), autonomic (11 studies, 36.7 %), psychic (8 studies, 26.7%) and vestibular (3 studies, 10%). Visual and speech responses were also reported. Despite some overlap, the results indicate that the anterior cingulate cortex is responsible for most emotional, laughter and autonomic responses, while the middle cingulate cortex controls most complex motor behaviours, and the posterior cingulate cortex (PCC) regulates visual, among various other responses. Consistent null responses have been observed across different regions, emphasising PCC. CONCLUSIONS Our results provide a segmental mapping of the functional properties of CG, helping to improve precision in the surgical planning of epilepsy.
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Affiliation(s)
- Rawan Mahgoub
- Department of Neurology, The University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA
| | - Ayse Kacar Bayram
- Department of Pediatrics, Division of Pediatric Neurology, University of Health Sciences, Kayseri City Hospital, Kayseri, Turkey
| | - Dennis D Spencer
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Rafeed Alkawadri
- Department of Neurology, The University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA
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50
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Rootes-Murdy K, Panta S, Kelly R, Romero J, Quidé Y, Cairns MJ, Loughland C, Carr VJ, Catts SV, Jablensky A, Green MJ, Henskens F, Kiltschewskij D, Michie PT, Mowry B, Pantelis C, Rasser PE, Reay WR, Schall U, Scott RJ, Watkeys OJ, Roberts G, Mitchell PB, Fullerton JM, Overs BJ, Kikuchi M, Hashimoto R, Matsumoto J, Fukunaga M, Sachdev PS, Brodaty H, Wen W, Jiang J, Fani N, Ely TD, Lorio A, Stevens JS, Ressler K, Jovanovic T, van Rooij SJ, Federmann LM, Jockwitz C, Teumer A, Forstner AJ, Caspers S, Cichon S, Plis SM, Sarwate AD, Calhoun VD. Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. PATTERNS (NEW YORK, N.Y.) 2024; 5:100987. [PMID: 39081570 PMCID: PMC11284501 DOI: 10.1016/j.patter.2024.100987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/02/2024] [Accepted: 04/10/2024] [Indexed: 08/02/2024]
Abstract
Structural neuroimaging studies have identified a combination of shared and disorder-specific patterns of gray matter (GM) deficits across psychiatric disorders. Pooling large data allows for examination of a possible common neuroanatomical basis that may identify a certain vulnerability for mental illness. Large-scale collaborative research is already facilitated by data repositories, institutionally supported databases, and data archives. However, these data-sharing methodologies can suffer from significant barriers. Federated approaches augment these approaches by enabling access or more sophisticated, shareable and scaled-up analyses of large-scale data. We examined GM alterations using Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation, an open-source, decentralized analysis application. Through federated analysis of eight sites, we identified significant overlap in the GM patterns (n = 4,102) of individuals with schizophrenia, major depressive disorder, and autism spectrum disorder. These results show cortical and subcortical regions that may indicate a shared vulnerability to psychiatric disorders.
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Affiliation(s)
- Kelly Rootes-Murdy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Sandeep Panta
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Ross Kelly
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Javier Romero
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Yann Quidé
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Carmel Loughland
- Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Vaughan J. Carr
- Neuroscience Research Australia, Sydney, NSW, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
- Department of Psychiatry, Monash University, Clayton, VIC, Australia
| | - Stanley V. Catts
- School of Medicine, University of Queensland, Brisbane, QLD, Australia
| | | | - Melissa J. Green
- Neuroscience Research Australia, Sydney, NSW, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Frans Henskens
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine & Public Health, University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, NSW, Australia
| | - Dylan Kiltschewskij
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Patricia T. Michie
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Psychological Sciences, University of Newcastle, Callaghan, NSW, Australia
| | - Bryan Mowry
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, QLD, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Carlton South, VIC, Australia
- Florey Institute of Neuroscience & Mental Health, Parkville, VIC, Australia
| | - Paul E. Rasser
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, NSW, Australia
| | - William R. Reay
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Ulrich Schall
- Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Oliver J. Watkeys
- Neuroscience Research Australia, Sydney, NSW, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Gloria Roberts
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Philip B. Mitchell
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Janice M. Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | | | - Masataka Kikuchi
- Department of Computational Biology and Medical Sciences, University of Tokyo, Chiba, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Masaki Fukunaga
- Section of Brain Function Information, National Institute for Physiological Sciences, Aichi, Japan
| | - Perminder S. Sachdev
- Centre for Healthy Brain Aging, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Aging, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Aging, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Aging, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Timothy D. Ely
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | | | - Jennifer S. Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
- Atlanta VA Medical Center, Decatur, GA, USA
| | - Kerry Ressler
- McLean Hospital, Harvard Medical School, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA
| | - Sanne J.H. van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Lydia M. Federmann
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Andreas J. Forstner
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Sergey M. Plis
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Anand D. Sarwate
- Department of Electrical and Computer Engineering, Rutgers University-New Brunswick, Piscataway, NJ, USA
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
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