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Klugah-Brown B, Bore MC, Liu X, Gan X, Biswal BB, Kendrick KM, Chang DHF, Zhou B, Becker B. The neurostructural consequences of glaucoma and their overlap with disorders exhibiting emotional dysregulations: A voxel-based meta-analysis and tripartite system model. J Affect Disord 2024; 358:487-499. [PMID: 38705527 DOI: 10.1016/j.jad.2024.05.016] [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: 12/07/2023] [Revised: 04/23/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Glaucoma, a progressive neurodegenerative disorder leading to irreversible blindness, is associated with heightened rates of generalized anxiety and depression. This study aims to comprehensively investigate brain morphological changes in glaucoma patients, extending beyond visual processing areas, and explores overlaps with morphological alterations observed in anxiety and depression. METHODS A comparative meta-analysis was conducted, using case-control studies of brain structural integrity in glaucoma patients. We aimed to identify regions with gray matter volume (GMV) changes, examine their role within distinct large-scale networks, and assess overlap with alterations in generalized anxiety disorder (GAD) and major depressive disorder (MDD). RESULTS Glaucoma patients exhibited significant GMV reductions in visual processing regions (lingual gyrus, thalamus). Notably, volumetric reductions extended beyond visual systems, encompassing the left putamen and insula. Behavioral and functional network decoding revealed distinct large-scale networks, implicating visual, motivational, and affective domains. The insular region, linked to pain and affective processes, displayed reductions overlapping with alterations observed in GAD. LIMITATIONS While the study identified significant morphological alterations, the number of studies from both the glaucoma and GAD cohorts remains limited due to the lack of independent studies meeting our inclusion criteria. CONCLUSION The study proposes a tripartite brain model for glaucoma, with visual processing changes related to the lingual gyrus and additional alterations in the putamen and insular regions tied to emotional or motivational functions. These neuroanatomical changes extend beyond the visual system, implying broader implications for brain structure and potential pathological developments, providing insights into the overall neurological consequences of glaucoma.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Mercy C Bore
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiqin Liu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Xianyang Gan
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bharat B Biswal
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, USA
| | - Keith M Kendrick
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Dorita H F Chang
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Bo Zhou
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Department of Psychology, The University of Hong Kong, Hong Kong, China.
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2
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Liu Z, Cai L, Liu C, Seger CA. The tail of the caudate is sensitive to both gain and loss feedback during information integration categorization. Brain Cogn 2024; 178:106166. [PMID: 38733655 DOI: 10.1016/j.bandc.2024.106166] [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: 02/17/2024] [Revised: 03/31/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024]
Abstract
Although most category learning studies use feedback for training, little attention has been paid to how individuals utilize feedback implemented as gains or losses during categorization. We compared skilled categorization under three different conditions: Gain (earn points for correct answers), Gain and Loss (earn points for correct answers and lose points for wrong answers) and Correct or Wrong (accuracy feedback only). We also manipulated difficulty and point value, with near boundary stimuli having the highest number of points to win or lose, and stimuli far from the boundary having the lowest point value. We found that the tail of the caudate was sensitive to feedback condition, with highest activity when both Gain and Loss feedback were present and least activity when only Gain or accuracy feedback was present. We also found that activity across the caudate was affected by distance from the decision bound, with greatest activity for the near boundary high value stimuli, and lowest for far low value stimuli. Overall these results indicate that the tail of the caudate is sensitive not only to positive rewards but also to loss and punishment, consistent with recent animal research finding tail of the caudate activity in aversive learning.
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Affiliation(s)
- Zhiya Liu
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Lixue Cai
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Chen Liu
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Carol A Seger
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; Colorado State University, Department of Psychology, Molecular, Cellular and Integrative Neurosciences Program, United States.
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3
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Ghane M, Trambaiolli L, Bertocci MA, Martinez-Rivera FJ, Chase HW, Brady T, Skeba A, Graur S, Bonar L, Iyengar S, Quirk GJ, Rasmussen SA, Haber SN, Phillips ML. Specific Patterns of Endogenous Functional Connectivity Are Associated With Harm Avoidance in Obsessive-Compulsive Disorder. Biol Psychiatry 2024; 96:137-146. [PMID: 38336216 DOI: 10.1016/j.biopsych.2023.12.027] [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: 07/07/2023] [Revised: 11/11/2023] [Accepted: 12/06/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Individuals with obsessive-compulsive disorder (OCD) show persistent avoidance behaviors, often in the absence of actual threat. Quality-of-life costs and heterogeneity support the need for novel brain-behavior intervention targets. Informed by mechanistic and anatomical studies of persistent avoidance in rodents and nonhuman primates, our goal was to test whether connections within a hypothesized persistent avoidance-related network predicted OCD-related harm avoidance (HA), a trait measure of persistent avoidance. We hypothesized that 1) HA, not an OCD diagnosis, would be associated with altered endogenous connectivity in at least one connection in the network; 2) HA-specific findings would be robust to comorbid symptoms; and 3) reliable findings would replicate in a holdout testing subsample. METHODS Using resting-state functional connectivity magnetic resonance imaging, cross-validated elastic net for feature selection, and Poisson generalized linear models, we tested which connections significantly predicted HA in our training subsample (n = 73; 71.8% female; healthy control group n = 36, OCD group n = 37); robustness to comorbidities; and replicability in a testing subsample (n = 30; 56.7% female; healthy control group n = 15, OCD group n = 15). RESULTS Stronger inverse connectivity between the right dorsal anterior cingulate cortex and right basolateral amygdala and stronger positive connectivity between the right ventral anterior insula and left ventral striatum were associated with greater HA across groups. Network connections did not discriminate OCD diagnostic status or predict HA-correlated traits, suggesting sensitivity to trait HA. The dorsal anterior cingulate cortex-basolateral amygdala relationship was robust to controlling for comorbidities and medication in individuals with OCD and was also predictive of HA in our testing subsample. CONCLUSIONS Stronger inverse dorsal anterior cingulate cortex-basolateral amygdala connectivity was robustly and reliably associated with HA across groups and in OCD. Results support the relevance of a cross-species persistent avoidance-related network to OCD, with implications for precision-based approaches and treatment.
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Affiliation(s)
- Merage Ghane
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Lucas Trambaiolli
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tyler Brady
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alex Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Gregory J Quirk
- School of Medicine, University of Puerto Rico, San Juan, Puerto Rico
| | - Steven A Rasmussen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Suzanne N Haber
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts; School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Schienle A, Wabnegger A. Structural neuroimaging of skin-picking disorder. Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111024. [PMID: 38705507 DOI: 10.1016/j.pnpbp.2024.111024] [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: 03/08/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Skin-picking disorder (SPD) is conceptualized as an obsessive-compulsive and related disorder (OCRD). Patients with SPD excessively manipulate their skin, which leads to skin lesions, psychological distress, and functional impairment. The neuroanatomical facets of this disorder are still poorly understood. METHODS A total of 220 participants (123 patients with a primary diagnosis of SPD and 97 healthy controls; mean age = 30 years, 80% female) were recruited for a voxel-based morphometry (VBM) study. VBM data were compared between patients and controls, and between three SPD subgroups, each characterized by a distinct age of symptom onset (before puberty, during puberty, adulthood). RESULTS Relative to the healthy comparison group, patients with SPD had significantly less grey matter volume (GMV) in regions of interest (ROIs: insula, orbitofrontal cortex, pallidum, cerebellum, supramarginal gyrus) and in the frontal pole and occipital regions (whole-brain findings). Early onset of symptoms (before puberty) was associated with elevated levels of focused skin-picking, in addition to less GMV in specific ROIs (insula, orbitofrontal cortex) as well as in paracingulate/ superior temporal regions (whole-brain findings). CONCLUSIONS SPD-related reductions in GMV were identified in brain regions involved in interoception, emotion regulation, and motor control. This partially aligns with findings for OCD. The detection of different age-of-onset groups based on clinical as well as morphometric data points to the heterogeneity of the disorder and warrants further investigation.
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Affiliation(s)
- Anne Schienle
- Clinical Psychology, University of Graz, BioTechMed Graz, Austria.
| | - Albert Wabnegger
- Clinical Psychology, University of Graz, BioTechMed Graz, Austria
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Legon W, Strohman A, In A, Payne B. Noninvasive neuromodulation of subregions of the human insula differentially affect pain processing and heart-rate variability: a within-subjects pseudo-randomized trial. Pain 2024; 165:1625-1641. [PMID: 38314779 PMCID: PMC11189760 DOI: 10.1097/j.pain.0000000000003171] [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: 05/13/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 02/07/2024]
Abstract
ABSTRACT The insula is an intriguing target for pain modulation. Unfortunately, it lies deep to the cortex making spatially specific noninvasive access difficult. Here, we leverage the high spatial resolution and deep penetration depth of low-intensity focused ultrasound (LIFU) to nonsurgically modulate the anterior insula (AI) or posterior insula (PI) in humans for effect on subjective pain ratings, electroencephalographic (EEG) contact heat-evoked potentials, as well as autonomic measures including heart-rate variability (HRV). In a within-subjects, repeated-measures, pseudo-randomized trial design, 23 healthy volunteers received brief noxious heat pain stimuli to the dorsum of their right hand during continuous heart-rate, electrodermal, electrocardiography and EEG recording. Low-intensity focused ultrasound was delivered to the AI (anterior short gyrus), PI (posterior longus gyrus), or under an inert Sham condition. The primary outcome measure was pain rating. Low-intensity focused ultrasound to both AI and PI similarly reduced pain ratings but had differential effects on EEG activity. Low-intensity focused ultrasound to PI affected earlier EEG amplitudes, whereas LIFU to AI affected later EEG amplitudes. Only LIFU to the AI affected HRV as indexed by an increase in SD of N-N intervals and mean HRV low-frequency power. Taken together, LIFU is an effective noninvasive method to individually target subregions of the insula in humans for site-specific effects on brain biomarkers of pain processing and autonomic reactivity that translates to reduced perceived pain to a transient heat stimulus.
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Affiliation(s)
- Wynn Legon
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, VA, United States
- School of Neuroscience, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
- Center for Human Neuroscience Research, Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, VA, United States
- Center for Health Behaviors Research, Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, VA, United States
| | - Andrew Strohman
- Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
- Graduate Program in Translational Biology, Medicine, and Health, Virginia Polytechnic Institute and State University, Roanoke, VA, United States
| | - Alexander In
- Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
| | - Brighton Payne
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, VA, United States
- Center for Health Behaviors Research, Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, VA, United States
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6
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Su X, Li Y, Liu H, An S, Yao N, Li C, Shang M, Ma L, Yang J, Li J, Zhang M, Dun W, Huang Z. Brain network dynamics in women with primary dysmenorrhea during the pain-free periovulation phase. THE JOURNAL OF PAIN 2024:104618. [PMID: 38945381 DOI: 10.1016/j.jpain.2024.104618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 06/07/2024] [Accepted: 06/22/2024] [Indexed: 07/02/2024]
Abstract
The human brain is a dynamic system that shows frequency-specific features. Neuroimaging studies have shown that both healthy individuals and those with chronic pain disorders experience pain influenced by various processes that fluctuate over time. Primary dysmenorrhea is a chronic visceral pain that disrupts the coordinated activity of brain's functional network. However, it remains unclear whether the dynamic interactions across the whole-brain network over time and their associations with neurobehavioral symptoms are dependent on the frequency bands in patients with primary dysmenorrhea during the pain-free periovulation phase. In this study, we used an energy landscape analysis to examine the interactions over time across the large-scale network in a sample of 59 patients with primary dysmenorrhea and 57 healthy controls at different frequency bands. Compared to healthy controls, patients with primary dysmenorrhea exhibit aberrant brain dynamics, with more significant differences in the slow-4 frequency band. Patients with primary dysmenorrhea show more indirect neural transition times due to an unstable intermediate state, whereas neurotypical brain activity frequently transitions between two major states. This data-driven approach further revealed that the brains of individuals with primary dysmenorrhea have more abnormal brain dynamics than healthy controls. Our results suggested that unstable brain dynamics were associated with the strength of brain functional segregation and the Pain Catastrophizing Scale (PCS) score. Our findings provide preliminary evidence that atypical dynamics in the functional network may serve as a potential key feature and biological marker of patients with PDM during the pain-free phase. PERSPECTIVE: We applied energy landscape analysis on brain-imaging data to identify relatively stable and dominant brain activity patterns for patients with primary dysmenorrhea(PDM). More atypical brain dynamics were found in the slow-4 band and were related to the strength of functional segregation, providing new insights into the dysfunction brain dynamics.
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Affiliation(s)
- Xing Su
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
| | - Youjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
| | - Huiping Liu
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Simeng An
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Nan Yao
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Applied Physics, Xi'an University of Technology, Xi'an, China
| | - Chenxi Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China
| | - Meiling Shang
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Ma
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Yang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jianlong Li
- Department of Urology, Xi' an No.3 Hospital, the Affiliated Hospital of Northwest University, Xi' an, Shaanxi 710018, PR China
| | - Ming Zhang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wanghuan Dun
- Rehabilitation Medicine Department, The First Affiliated Hospital of Xi'an Jiaotong University
| | - Zigang Huang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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7
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Bresser T, Blanken TF, de Lange SC, Leerssen J, Foster-Dingley JC, Lakbila-Kamal O, Wassing R, Ramautar JR, Stoffers D, van de Heuvel MP, van Someren EJW. Insomnia subtypes have differentiating deviations in brain structural connectivity. Biol Psychiatry 2024:S0006-3223(24)01418-5. [PMID: 38944140 DOI: 10.1016/j.biopsych.2024.06.014] [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: 11/07/2023] [Revised: 06/10/2024] [Accepted: 06/18/2024] [Indexed: 07/01/2024]
Abstract
OBJECTIVE Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. The present study investigated whether structural brain connectivity deviations differ between recently discovered and validated insomnia subtypes. METHODS Structural and diffusion weighted 3-Tesla MRI data of four independent studies were harmonized. The sample consisted of 73 controls without sleep complaints and 204 participants with insomnia grouped into five subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex evaluated group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density and mean diffusivity, and evaluated within three different atlases. RESULTS Insomnia subtypes showed differentiating profiles of deviating structural connectivity which concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in four of the five subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive and slightly distressed high reactive. Connectivity deviation profile significance ranged from p= 0.001 to p=0.049 for different resolutions of brain parcellation and connectivity weight. CONCLUSIONS Our results provide a first indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping of insomnia could be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.
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Affiliation(s)
- Tom Bresser
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Vrije Universiteit Amsterdam, Department of Integrative Neurophysiology, Amsterdam, Netherlands; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Tessa F Blanken
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; University of Amsterdam, Department of Psychological Methods, Amsterdam, Netherlands
| | - Siemon C de Lange
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jeanne Leerssen
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands
| | - Jessica C Foster-Dingley
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands
| | - Oti Lakbila-Kamal
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Vrije Universiteit Amsterdam, Department of Integrative Neurophysiology, Amsterdam, Netherlands; Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rick Wassing
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Woolcock Institute and School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Sydney Local Health District, Sydney, NSW, Australia
| | - Jennifer R Ramautar
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, The Netherlands; Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Diederick Stoffers
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Spinoza Centre for Neuroimaging, Amsterdam, The Netherlands
| | - Martijn P van de Heuvel
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eus J W van Someren
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, Netherlands,; Vrije Universiteit Amsterdam, Department of Integrative Neurophysiology, Amsterdam, Netherlands; Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Del Moro L, Pirovano E, Rota E. Mind the Metabolic Gap: Bridging Migraine and Alzheimer's disease through Brain Insulin Resistance. Aging Dis 2024:AD.2024.0351. [PMID: 38913047 DOI: 10.14336/ad.2024.0351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/11/2024] [Indexed: 06/25/2024] Open
Abstract
Brain insulin resistance has recently been described as a metabolic abnormality of brain glucose homeostasis that has been proven to downregulate insulin receptors, both in astrocytes and neurons, triggering a reduction in glucose uptake and glycogen synthesis. This condition may generate a mismatch between brain's energy reserve and expenditure, mainly during high metabolic demand, which could be involved in the chronification of migraine and, in the long run, at least in certain subsets of patients, in the prodromic phase of Alzheimer's disease, along a putative metabolic physiopathological continuum. Indeed, the persistent disruption of glucose homeostasis and energy supply to neurons may eventually impair protein folding, an energy-requiring process, promoting pathological changes in Alzheimer's disease, such as amyloid-β deposition and tau hyperphosphorylation. Hopefully, the "neuroenergetic hypothesis" presented herein will provide further insight on there being a conceivable metabolic bridge between chronic migraine and Alzheimer's disease, elucidating novel potential targets for the prophylactic treatment of both diseases.
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Affiliation(s)
- Lorenzo Del Moro
- Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Research Hospital, Rozzano (MI), Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Elenamaria Pirovano
- Center for Research in Medical Pharmacology, University of Insubria, Varese, Italy
| | - Eugenia Rota
- Neurology Unit, San Giacomo Hospital, Novi Ligure, ASL AL, Italy
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Alcalá-López D, Mei N, Margolles P, Soto D. Brain-wide representation of social knowledge. Soc Cogn Affect Neurosci 2024; 19:nsae032. [PMID: 38804694 PMCID: PMC11173195 DOI: 10.1093/scan/nsae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/28/2024] [Accepted: 05/30/2024] [Indexed: 05/29/2024] Open
Abstract
Understanding how the human brain maps different dimensions of social conceptualizations remains a key unresolved issue. We performed a functional magnetic resonance imaging (MRI) study in which participants were exposed to audio definitions of personality traits and asked to simulate experiences associated with the concepts. Half of the concepts were affective (e.g. empathetic), and the other half were non-affective (e.g. intelligent). Orthogonally, half of the concepts were highly likable (e.g. sincere) and half were socially undesirable (e.g. liar). Behaviourally, we observed that the dimension of social desirability reflected the participant's subjective ratings better than affect. FMRI decoding results showed that both social desirability and affect could be decoded in local patterns of activity through distributed brain regions including the superior temporal, inferior frontal, precuneus and key nodes of the default mode network in posterior/anterior cingulate and ventromedial prefrontal cortex. Decoding accuracy was better for social desirability than affect. A representational similarity analysis further demonstrated that a deep language model significantly predicted brain activity associated with the concepts in bilateral regions of superior and anterior temporal lobes. The results demonstrate a brain-wide representation of social knowledge, involving default model network systems that support the multimodal simulation of social experience, with a further reliance on language-related preprocessing.
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Affiliation(s)
- Daniel Alcalá-López
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
| | - Ning Mei
- Psychology Department, Shenzhen University, Nanshan district, Guangdong province 3688, China
| | - Pedro Margolles
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
| | - David Soto
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
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Zhao L, Bo Q, Zhang Z, Li F, Zhou Y, Wang C. Disrupted default mode network connectivity in bipolar disorder: a resting-state fMRI study. BMC Psychiatry 2024; 24:428. [PMID: 38849793 PMCID: PMC11157927 DOI: 10.1186/s12888-024-05869-y] [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: 12/02/2023] [Accepted: 05/27/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Theoretical and empirical evidence indicates the critical role of the default mode network (DMN) in the pathophysiology of the bipolar disorder (BD). This study aims to identify the specific brain regions of the DMN that is impaired in patients with BD. METHODS A total of 56 patients with BD and 71 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Three commonly used functional indices, i.e., fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and degree centrality (DC), were utilized to identify the brain region showing abnormal spontaneous brain activity in patients with BD. Then, this region served as the seed region for resting-state functional connectivity (rsFC) analysis. RESULTS Compared to the HC group, the BD group showed reduced fALFF, ReHo, and DC values in the left precuneus. Moreover, patients exhibited decreased rsFCs within the left precuneus and between the left precuneus and the medial prefrontal cortex. Additionally, there was diminished negative connectivity between the left precuneus and the left putamen, extending to the left insula (putamen/insula). The abnormalities in DMN functional connectivity were confirmed through various analysis strategies. CONCLUSIONS Our findings provide convergent evidence for the abnormalities in the DMN, particularly located in the left precuneus. Decreased functional connectivity within the DMN and the reduced anticorrelation between the DMN and the salience network are found in patients with BD. These findings suggest that the DMN is a key aspect for understanding the neural basis of BD, and the altered functional patterns of DMN may be a potential candidate biomarker for diagnosis of BD.
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Affiliation(s)
- Lei Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Zhifang Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yuan Zhou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology & Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
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11
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Kóbor A, Janacsek K, Hermann P, Zavecz Z, Varga V, Csépe V, Vidnyánszky Z, Kovács G, Nemeth D. Finding Pattern in the Noise: Persistent Implicit Statistical Knowledge Impacts the Processing of Unpredictable Stimuli. J Cogn Neurosci 2024; 36:1239-1264. [PMID: 38683699 DOI: 10.1162/jocn_a_02173] [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] [Indexed: 05/02/2024]
Abstract
Humans can extract statistical regularities of the environment to predict upcoming events. Previous research recognized that implicitly acquired statistical knowledge remained persistent and continued to influence behavior even when the regularities were no longer present in the environment. Here, in an fMRI experiment, we investigated how the persistence of statistical knowledge is represented in the brain. Participants (n = 32) completed a visual, four-choice, RT task consisting of statistical regularities. Two types of blocks constantly alternated with one another throughout the task: predictable statistical regularities in one block type and unpredictable ones in the other. Participants were unaware of the statistical regularities and their changing distribution across the blocks. Yet, they acquired the statistical regularities and showed significant statistical knowledge at the behavioral level not only in the predictable blocks but also in the unpredictable ones, albeit to a smaller extent. Brain activity in a range of cortical and subcortical areas, including early visual cortex, the insula, the right inferior frontal gyrus, and the right globus pallidus/putamen contributed to the acquisition of statistical regularities. The right insula, inferior frontal gyrus, and hippocampus as well as the bilateral angular gyrus seemed to play a role in maintaining this statistical knowledge. The results altogether suggest that statistical knowledge could be exploited in a relevant, predictable context as well as transmitted to and retrieved in an irrelevant context without a predictable structure.
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Affiliation(s)
- Andrea Kóbor
- Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Hungary
| | - Karolina Janacsek
- Centre of Thinking and Learning, Institute for Lifecourse Development, School of Human Sciences, University of Greenwich, United Kingdom
- ELTE Eötvös Loránd University, Hungary
| | - Petra Hermann
- Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Hungary
| | | | - Vera Varga
- Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Hungary
- University of Pannonia, Hungary
| | - Valéria Csépe
- Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Hungary
- University of Pannonia, Hungary
| | - Zoltán Vidnyánszky
- Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Hungary
| | | | - Dezso Nemeth
- INSERM, CRNL U1028 UMR5292, France
- ELTE Eötvös Loránd University & HUN-REN Research Centre for Natural Sciences, Hungary
- University of Atlántico Medio, Spain
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12
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Webb EK, Carter SE, Ressler KJ, Fani N, Harnett NG. The neurophysiological consequences of racism-related stressors in Black Americans. Neurosci Biobehav Rev 2024; 161:105638. [PMID: 38522814 PMCID: PMC11081835 DOI: 10.1016/j.neubiorev.2024.105638] [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: 01/03/2024] [Revised: 03/01/2024] [Accepted: 03/19/2024] [Indexed: 03/26/2024]
Abstract
Racism-related stressors, from experiences of both implicit and explicit racial discrimination to systemic socioeconomic disadvantage, have a cumulative impact on Black Americans' health. The present narrative review synthesizes peripheral (neuroendocrine and inflammation markers), psychophysiological (heart-rate variability, skin conductance), and neuroimaging (structural and functional) findings that demonstrate unique associations with racism-related stress. Emerging evidence reveals how racism-related stressors contribute to differential physiological and neural responses and may have distinct impacts on regions involved with threat and social processing. Ultimately, the neurophysiological effects of racism-related stress may confer biological susceptibility to stress and trauma-related disorders. We note critical gaps in the literature on the neurophysiological impact of racism-related stress and outline additional research that is needed on the multifactorial interactions between racism and mental health. A clearer understanding of the interactions between racism-related stress, neurophysiology, and stress- and trauma-related disorders is critical for preventative efforts, biomarker discovery, and selection of effective clinical treatments for Black Americans.
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Affiliation(s)
- E Kate Webb
- McLean Hospital, Division of Depression and Anxiety, Belmont, MA, USA; Harvard Medical School, Department of Psychiatry, Boston, MA, USA
| | - Sierra E Carter
- Georgia State University, Department of Psychology, Athens, GA, USA
| | - Kerry J Ressler
- McLean Hospital, Division of Depression and Anxiety, Belmont, MA, USA; Harvard Medical School, Department of Psychiatry, Boston, MA, USA
| | - Negar Fani
- Emory University School of Medicine, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA
| | - Nathaniel G Harnett
- McLean Hospital, Division of Depression and Anxiety, Belmont, MA, USA; Harvard Medical School, Department of Psychiatry, Boston, MA, USA.
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13
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Salagnon M, d'Errico F, Rigaud S, Mellet E. Assigning a social status from face adornments: an fMRI study. Brain Struct Funct 2024; 229:1103-1120. [PMID: 38546871 DOI: 10.1007/s00429-024-02786-4] [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: 09/13/2023] [Accepted: 03/05/2024] [Indexed: 06/05/2024]
Abstract
For at least 150,000 years, the human body has been culturally modified by the wearing of personal ornaments and probably by painting with red pigment. The present study used functional magnetic resonance imaging to explore the brain networks involved in attributing social status from face decorations. Results showed the fusiform gyrus, orbitofrontal cortex, and salience network were involved in social encoding, categorization, and evaluation. The hippocampus and parahippocampus were activated due to the memory and associative skills required for the task, while the inferior frontal gyrus likely interpreted face ornaments as symbols. Resting-state functional connectivity analysis clarified the interaction between these regions. The study highlights the importance of these neural interactions in the symbolic interpretation of social markers on the human face, which were likely active in early Homo species and intensified with Homo sapiens populations as more complex technologies were developed to culturalize the human face.
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Affiliation(s)
- M Salagnon
- CNRS, CEA, IMN, UMR 5293, Université Bordeaux, Bordeaux, GIN, France
- Univ. Bordeaux, PACEA UMR 5199, CNRS, Pessac, France
| | - F d'Errico
- Univ. Bordeaux, PACEA UMR 5199, CNRS, Pessac, France
- SFF Centre for Early Sapiens Behaviour (SapienCE), University of Bergen, Bergen, Norway
| | - S Rigaud
- Univ. Bordeaux, PACEA UMR 5199, CNRS, Pessac, France
| | - E Mellet
- CNRS, CEA, IMN, UMR 5293, Université Bordeaux, Bordeaux, GIN, France.
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14
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Yin X, Jiang T, Song Z, Zhu L, Wang G, Guo J. Increased functional connectivity within the salience network in patients with insomnia. Sleep Breath 2024; 28:1261-1271. [PMID: 38329566 DOI: 10.1007/s11325-024-03002-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Insomnia is a common sleep disorder with significant negative impacts on emotional states; however, the underlying mechanism of insomnia with comorbid emotional dysregulation remains largely unknown. The salience network (SN) plays an important role in both sleep and emotional regulation. The study aimed to explore the specific alterations in functional connectivity (FC) within the SN in insomnia patients. METHODS A total of 30 eligible patients with insomnia disorder (ID group) and 30 healthy controls (HC group) underwent resting-state functional magnetic resonance imaging (fMRI) scanning and psychometric assessments. Differences in FC within the SN were examined using seed-based region-to-region connectivity analysis. RESULTS Compared with healthy controls, patients with insomnia showed increased FC within the SN, mainly between the anterior cingulate cortex (ACC) and right superior frontal gyrus (SFG), the right SFG and right supramarginal gyrus (SMG), and between the right insular (INS) and left SMG (P<0.05). Additionally, significant correlations were observed between increased FC and the Hamilton Depression Rating Scale (HAMD), Pittsburgh Sleep Quality Index (PSQI), and Hamilton Anxiety Rating Scale (HAMA) scores (P<0.05, after Bonferroni correction). CONCLUSIONS These results suggest that increased FC within the SN may be related to poor sleep quality and negative emotions, highlighting the importance of the SN in the pathophysiological mechanisms of insomnia with comorbid emotional dysregulation.
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Affiliation(s)
- Xuejiao Yin
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Tongfei Jiang
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Zhangxiao Song
- Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Liying Zhu
- Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Guiling Wang
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Jing Guo
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
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15
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Nichols NM, Ezzat B, Waters AC, Panov F, Yong RL, Germano IM. What is the cognitive footprint of insular glioma? Front Hum Neurosci 2024; 18:1382380. [PMID: 38859993 PMCID: PMC11163043 DOI: 10.3389/fnhum.2024.1382380] [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: 02/05/2024] [Accepted: 04/29/2024] [Indexed: 06/12/2024] Open
Abstract
Cognitive impairment has a profound deleterious impact on long-term outcomes of glioma surgery. The human insula, a deep cortical structure covered by the operculum, plays a role in a wide range of cognitive functions including interceptive thoughts and salience processing. Both low-grade (LGG) and high-grade gliomas (HGG) involve the insula, representing up to 25% of LGG and 10% of HGG. Surgical series from the past 30 years support the role of primary cytoreductive surgery for insular glioma patients; however, reported cognitive outcomes are often limited to speech and language function. The breath of recent neuroscience literature demonstrates that the insula plays a broader role in cognition including interoceptive thoughts and salience processing. This article summarizes the vast functional role of the healthy human insula highlighting how this knowledge can be leveraged to improve the care of patients with insular gliomas.
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Affiliation(s)
- Noah M Nichols
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
| | - Bahie Ezzat
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
- School of Medicine, Mount Sinai School of Medicine, New York, NY, United States
| | - Allison C Waters
- Department of Neuroscience, Mount Sinai School of Medicine, New York, NY, United States
| | - Fedor Panov
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
| | - Raymund L Yong
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
| | - Isabelle M Germano
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
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16
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Chakraborty S, Haast RAM, Onuska KM, Kanel P, Prado MAM, Prado VF, Khan AR, Schmitz TW. Multimodal gradients of basal forebrain connectivity across the neocortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.26.541324. [PMID: 37292595 PMCID: PMC10245994 DOI: 10.1101/2023.05.26.541324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The cholinergic innervation of the cortex originates almost entirely from populations of neurons in the basal forebrain (BF). Structurally, the ascending BF cholinergic projections are highly branched, with individual cells targeting multiple different cortical regions. However, it is not known whether the structural organization of basal forebrain projections reflects their functional integration with the cortex. We therefore used high-resolution 7T diffusion and resting state functional MRI in humans to examine multimodal gradients of BF cholinergic connectivity with the cortex. Moving from anteromedial to posterolateral BF, we observed reduced tethering between structural and functional connectivity gradients, with the most pronounced dissimilarity localized in the nucleus basalis of Meynert (NbM). The cortical expression of this structure-function gradient revealed progressively weaker tethering moving from unimodal to transmodal cortex, with the lowest tethering in midcingulo-insular cortex. We used human [ 18 F] fluoroethoxy-benzovesamicol (FEOBV) PET to demonstrate that cortical areas with higher concentrations of cholinergic innervation tend to exhibit lower tethering between BF structural and functional connectivity, suggesting a pattern of increasingly diffuse axonal arborization. Anterograde viral tracing of cholinergic projections and [ 18 F] FEOBV PET in mice confirmed a gradient of axonal arborization across individual BF cholinergic neurons. Like humans, cholinergic neurons with the highest arborization project to cingulo-insular areas of the mouse isocortex. Altogether, our findings reveal that BF cholinergic neurons vary in their branch complexity, with certain subpopulations exhibiting greater modularity and others greater diffusivity in the functional integration of their cortical targets.
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17
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Hansen M, Simon KR, He X, Steele N, Thomas ML, Noble KG, Merz EC. Socioeconomic factors, sleep timing and duration, and amygdala resting-state functional connectivity in children. Front Psychiatry 2024; 15:1373546. [PMID: 38840942 PMCID: PMC11150855 DOI: 10.3389/fpsyt.2024.1373546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 05/08/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction Reduced sleep health has been consistently linked with increased negative emotion in children. While sleep characteristics have been associated with neural function in adults and adolescents, much less is known about these associations in children while considering socioeconomic context. In this study, we examined the associations among socioeconomic factors, sleep duration and timing, and resting-state functional connectivity (rsFC) of the amygdala in children. Methods Participants were typically-developing 5- to 9-year-olds from socioeconomically diverse families (61% female; N = 94). Parents reported on children's weekday and weekend bedtimes and wake-up times, which were used to compute sleep duration and midpoint. Analyses focused on amygdala-anterior cingulate cortex (ACC) connectivity followed by amygdala-whole brain connectivity. Results Lower family income-to-needs ratio and parental education were significantly associated with later weekday and weekend sleep timing and shorter weekday sleep duration. Shorter weekday sleep duration was associated with decreased amygdala-ACC and amygdala-insula connectivity. Later weekend sleep midpoint was associated with decreased amygdala-paracingulate cortex and amygdala-postcentral gyrus connectivity. Socioeconomic factors were indirectly associated with connectivity in these circuits via sleep duration and timing. Discussion These results suggest that socioeconomic disadvantage may interfere with both sleep duration and timing, in turn possibly altering amygdala connectivity in emotion processing and regulation circuits in children. Effective strategies supporting family economic conditions may have benefits for sleep health and brain development in children.
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Affiliation(s)
- Melissa Hansen
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
| | - Katrina R. Simon
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States
| | - Xiaofu He
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States
| | - Nick Steele
- Molecular, Cellular and Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
| | - Michael L. Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
| | - Kimberly G. Noble
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, United States
| | - Emily C. Merz
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
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18
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Uddin LQ, Castellanos FX, Menon V. Resting state functional brain connectivity in child and adolescent psychiatry: where are we now? Neuropsychopharmacology 2024:10.1038/s41386-024-01888-1. [PMID: 38778158 DOI: 10.1038/s41386-024-01888-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/10/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Approaching the 30th anniversary of the discovery of resting state functional magnetic resonance imaging (rsfMRI) functional connectivity, we reflect on the impact of this neuroimaging breakthrough on the field of child and adolescent psychiatry. The study of intrinsic functional brain architecture that rsfMRI affords across a wide range of ages and abilities has yielded numerous key insights. For example, we now know that many neurodevelopmental conditions are associated with more widespread circuit alterations across multiple large-scale brain networks than previously suspected. The emergence of population neuroscience and effective data-sharing initiatives have made large rsfMRI datasets publicly available, providing sufficient power to begin to identify brain-based subtypes within heterogeneous clinical conditions. Nevertheless, several methodological and theoretical challenges must still be addressed to fulfill the promises of personalized child and adolescent psychiatry. In particular, incomplete understanding of the physiological mechanisms driving developmental changes in intrinsic functional connectivity remains an obstacle to further progress. Future directions include cross-species and multimodal neuroimaging investigations to illuminate such mechanisms. Data collection and harmonization efforts that span multiple countries and diverse cohorts are urgently needed. Finally, incorporating naturalistic fMRI paradigms such as movie watching should be a priority for future research efforts.
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Affiliation(s)
- Lucina Q Uddin
- Department of Psychiatry and Biobehavioral Science, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA.
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
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19
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Islam J, Rahman MT, Kc E, Park YS. Deciphering the functional role of insular cortex stratification in trigeminal neuropathic pain. J Headache Pain 2024; 25:76. [PMID: 38730344 PMCID: PMC11084050 DOI: 10.1186/s10194-024-01784-5] [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: 03/12/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
Trigeminal neuropathic pain (TNP) is a major concern in both dentistry and medicine. The progression from normal to chronic TNP through activation of the insular cortex (IC) is thought to involve several neuroplastic changes in multiple brain regions, resulting in distorted pain perception and associated comorbidities. While the functional changes in the insula are recognized contributors to TNP, the intricate mechanisms underlying the involvement of the insula in TNP processing remain subjects of ongoing investigation. Here, we have overviewed the most recent advancements regarding the functional role of IC in regulating TNP alongside insights into the IC's connectivity with other brain regions implicated in trigeminal pain pathways. In addition, the review examines diverse modulation strategies that target the different parts of the IC, thereby suggesting novel diagnostic and therapeutic management of chronic TNP in the future.
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Affiliation(s)
- Jaisan Islam
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
| | - Md Taufiqur Rahman
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
| | - Elina Kc
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Young Seok Park
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea.
- Department of Neurosurgery, Chungbuk National University Hospital, Cheongju, Korea.
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20
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Ronconi L, Cantiani C, Riva V, Franchin L, Bettoni R, Gori S, Bulf H, Valenza E, Facoetti A. Infants' reorienting efficiency depends on parental autistic traits and predicts future socio-communicative behaviors. Cereb Cortex 2024; 34:40-49. [PMID: 38696607 DOI: 10.1093/cercor/bhae089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/29/2024] [Accepted: 02/21/2024] [Indexed: 05/04/2024] Open
Abstract
Attentional reorienting is dysfunctional not only in children with autism spectrum disorder (ASD), but also in infants who will develop ASD, thus constituting a potential causal factor of future social interaction and communication abilities. Following the research domain criteria framework, we hypothesized that the presence of subclinical autistic traits in parents should lead to atypical infants' attentional reorienting, which in turn should impact on their future socio-communication behavior in toddlerhood. During an attentional cueing task, we measured the saccadic latencies in a large sample (total enrolled n = 89; final sample n = 71) of 8-month-old infants from the general population as a proxy for their stimulus-driven attention. Infants were grouped in a high parental traits (HPT; n = 23) or in a low parental traits (LPT; n = 48) group, according to the degree of autistic traits self-reported by their parents. Infants (n = 33) were then longitudinally followed to test their socio-communicative behaviors at 21 months. Results show a sluggish reorienting system, which was a longitudinal predictor of future socio-communicative skills at 21 months. Our combined transgenerational and longitudinal findings suggest that the early functionality of the stimulus-driven attentional network-redirecting attention from one event to another-could be directly connected to future social and communication development.
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Affiliation(s)
- Luca Ronconi
- School of Psychology, Vita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132 Milan, Italy
| | - Chiara Cantiani
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Laura Franchin
- Department of Psychology and Cognitive Science, University of Trento, Corso Bettini, 84, 38068 Rovereto, Italy
| | - Roberta Bettoni
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Simone Gori
- Department of Human and Social Sciences, University of Bergamo, Piazzale Sant'Agostino, 2, 24129 Bergamo, Italy
| | - Herman Bulf
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Eloisa Valenza
- Department of Developmental and Social Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
| | - Andrea Facoetti
- Developmental and Cognitive Neuroscience Lab, Department of General Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
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Podvalny E, Sanchez-Romero R, Cole MW. Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities. Cereb Cortex 2024; 34:bhae192. [PMID: 38745558 DOI: 10.1093/cercor/bhae192] [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: 01/18/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 05/16/2024] Open
Abstract
Arousal state is regulated by subcortical neuromodulatory nuclei, such as locus coeruleus, which send wide-reaching projections to cortex. Whether higher-order cortical regions have the capacity to recruit neuromodulatory systems to aid cognition is unclear. Here, we hypothesized that select cortical regions activate the arousal system, which, in turn, modulates large-scale brain activity, creating a functional circuit predicting cognitive ability. We utilized the Human Connectome Project 7T functional magnetic resonance imaging dataset (n = 149), acquired at rest with simultaneous eye tracking, along with extensive cognitive assessment for each subject. First, we discovered select frontoparietal cortical regions that drive large-scale spontaneous brain activity specifically via engaging the arousal system. Second, we show that the functionality of the arousal circuit driven by bilateral posterior cingulate cortex (associated with the default mode network) predicts subjects' cognitive abilities. This suggests that a cortical region that is typically associated with self-referential processing supports cognition by regulating the arousal system.
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Affiliation(s)
- Ella Podvalny
- Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Ave, Newark, NJ 07102, United States
| | - Ruben Sanchez-Romero
- Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Ave, Newark, NJ 07102, United States
| | - Michael W Cole
- Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Ave, Newark, NJ 07102, United States
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22
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Bainter SA, Goodman ZT, Kupis LB, Timpano KR, Uddin LQ. Neural and psychological correlates of post-traumatic stress symptoms in a community adult sample. Cereb Cortex 2024; 34:bhae214. [PMID: 38813966 DOI: 10.1093/cercor/bhae214] [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: 01/04/2024] [Revised: 04/30/2024] [Accepted: 05/07/2024] [Indexed: 05/31/2024] Open
Abstract
A multitude of factors are associated with the symptoms of post-traumatic stress disorder. However, establishing which predictors are most strongly associated with post-traumatic stress disorder symptoms is complicated because few studies are able to consider multiple factors simultaneously across the biopsychosocial domains that are implicated by existing theoretical models. Further, post-traumatic stress disorder is heterogeneous, and studies using case-control designs may obscure which factors relate uniquely to symptom dimensions. Here we used Bayesian variable selection to identify the most important predictors for overall post-traumatic stress disorder symptoms and individual symptom dimensions in a community sample of 569 adults (18 to 85 yr of age). Candidate predictors were selected from previously established risk factors relevant for post-traumatic stress disorder and included psychological measures, behavioral measures, and resting state functional connectivity among brain regions. In a follow-up analysis, we compared results controlling for current depression symptoms in order to examine specificity. Poor sleep quality and dimensions of temperament and impulsivity were consistently associated with greater post-traumatic stress disorder symptom severity. In addition to self-report measures, brain functional connectivity among regions commonly ascribed to the default mode network, central executive network, and salience network explained the unique variability of post-traumatic stress disorder symptoms. This study demonstrates the unique contributions of psychological measures and neural substrates to post-traumatic stress disorder symptoms.
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Affiliation(s)
- Sierra A Bainter
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Coral Gables, FL 33146, United States
| | - Zachary T Goodman
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Coral Gables, FL 33146, United States
| | - Lauren B Kupis
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, United States
| | - Kiara R Timpano
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Coral Gables, FL 33146, United States
| | - Lucina Q Uddin
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, United States
- Department of Psychology, University of California Los Angeles, 1285 Psychology Building, Box 951563, Los Angeles, CA 90095-1563, United States
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23
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Sakaguchi K, Tawata S. Giftedness and atypical sexual differentiation: enhanced perceptual functioning through estrogen deficiency instead of androgen excess. Front Endocrinol (Lausanne) 2024; 15:1343759. [PMID: 38752176 PMCID: PMC11094242 DOI: 10.3389/fendo.2024.1343759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 04/15/2024] [Indexed: 05/18/2024] Open
Abstract
Syndromic autism spectrum conditions (ASC), such as Klinefelter syndrome, also manifest hypogonadism. Compared to the popular Extreme Male Brain theory, the Enhanced Perceptual Functioning model explains the connection between ASC, savant traits, and giftedness more seamlessly, and their co-emergence with atypical sexual differentiation. Overexcitability of primary sensory inputs generates a relative enhancement of local to global processing of stimuli, hindering the abstraction of communication signals, in contrast to the extraordinary local information processing skills in some individuals. Weaker inhibitory function through gamma-aminobutyric acid type A (GABAA) receptors and the atypicality of synapse formation lead to this difference, and the formation of unique neural circuits that process external information. Additionally, deficiency in monitoring inner sensory information leads to alexithymia (inability to distinguish one's own emotions), which can be caused by hypoactivity of estrogen and oxytocin in the interoceptive neural circuits, comprising the anterior insular and cingulate gyri. These areas are also part of the Salience Network, which switches between the Central Executive Network for external tasks and the Default Mode Network for self-referential mind wandering. Exploring the possibility that estrogen deficiency since early development interrupts GABA shift, causing sensory processing atypicality, it helps to evaluate the co-occurrence of ASC with attention deficit hyperactivity disorder, dyslexia, and schizophrenia based on phenotypic and physiological bases. It also provides clues for understanding the common underpinnings of these neurodevelopmental disorders and gifted populations.
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Affiliation(s)
- Kikue Sakaguchi
- Research Department, National Institution for Academic Degrees and Quality Enhancement of Higher Education (NIAD-QE), Kodaira-shi, Tokyo, Japan
| | - Shintaro Tawata
- Graduate School of Human Sciences, Sophia University, Chiyoda-ku, Tokyo, Japan
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24
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Cao Q, Wang Y, Ji Y, He Z, Lei X. Resting-State EEG Reveals Abnormal Microstate Characteristics of Depression with Insomnia. Brain Topogr 2024; 37:388-396. [PMID: 36892651 DOI: 10.1007/s10548-023-00949-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: 09/22/2022] [Accepted: 02/16/2023] [Indexed: 03/10/2023]
Abstract
Previous research revealed various aspects of resting-state EEG for depression and insomnia. However, the EEG characteristics of depressed subjects with insomnia are rarely studied, especially EEG microstates that capture the dynamic activities of the large-scale brain network. To fill these research gaps, the present study collected resting-state EEG data from 32 subclinical depression subjects with insomnia (SDI), 31 subclinical depression subjects without insomnia (SD), and 32 healthy controls (HCs). Four topographic maps were generated from clean EEG data after clustering and rearrangement. Temporal characteristics were obtained for statistical analysis, including cross-group variance analysis (ANOVA) and intra-group correlation analysis. In our study, the global clustering of all individuals in the EEG microstate analysis revealed the four previously discovered categories of microstates (A, B, C, and D). The occurrence of microstate B was lower in SDI than in SD and HC subjects. The correlation analysis showed that the total Pittsburgh Sleep Quality Index (PSQI) score negatively correlated with the occurrence of microstate C in SDI (r = - 0.415, p < 0.05). Conversely, there was a positive correlation between Self-rating Depression Scale (SDS) scores and the duration of microstate C in SD (r = 0.359, p < 0.05). These results indicate that microstates reflect altered large-scale brain network dynamics in subclinical populations. Abnormalities in the visual network corresponding to microstate B are an electrophysiological characteristic of subclinical individuals with symptoms of depressive insomnia. Further investigation is needed for microstate changes related to high arousal and emotional problems in people suffering from depression and insomnia.
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Affiliation(s)
- Qike Cao
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China
| | - Yulin Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China
| | - Yufang Ji
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China
| | - Zhihui He
- The Ninth People's Hospital of Chongqing, Chongqing, 400700, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China.
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25
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Ptak R, Bourgeois A. Disengagement of attention with spatial neglect: A systematic review of behavioral and anatomical findings. Neurosci Biobehav Rev 2024; 160:105622. [PMID: 38490498 DOI: 10.1016/j.neubiorev.2024.105622] [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: 11/20/2023] [Revised: 02/10/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
The present review examined the consequences of focal brain injury on spatial attention studied with cueing paradigms, with a particular focus on the disengagement deficit, which refers to the abnormal slowing of reactions following an ipsilesional cue. Our review supports the established notion that the disengagement deficit is a functional marker of spatial neglect and is particularly pronounced when elicited by peripheral cues. Recent research has revealed that this deficit critically depends on cues that have task-relevant characteristics or are associated with negative reinforcement. Attentional capture by task-relevant cues is contingent on damage to the right temporo-parietal junction (TPJ) and is modulated by functional connections between the TPJ and the right insular cortex. Furthermore, damage to the dorsal premotor or prefrontal cortex (dPMC/dPFC) reduces the effect of task-relevant cues. These findings support an interactive model of the disengagement deficit, involving the right TPJ, the insula, and the dPMC/dPFC. These interconnected regions play a crucial role in regulating and adapting spatial attention to changing intrinsic values of stimuli in the environment.
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Affiliation(s)
- Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; Division of Neurorehabilitation, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland.
| | - Alexia Bourgeois
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; University of Applied Sciences and Arts of Western Switzerland, School of Health Sciences, Avenue de Champel 47, Geneva 1206, Switzerland
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26
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Blume J, Dhanasekara CS, Kahathuduwa CN, Mastergeorge AM. Central Executive and Default Mode Networks: An Appraisal of Executive Function and Social Skill Brain-Behavior Correlates in Youth with Autism Spectrum Disorder. J Autism Dev Disord 2024; 54:1882-1896. [PMID: 36988766 DOI: 10.1007/s10803-023-05961-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2023] [Indexed: 03/30/2023]
Abstract
Atypical connectivity patterns have been observed for individuals with autism spectrum disorders (ASD), particularly across the triple-network model. The current study investigated brain-behavior relationships in the context of social skills and executive function profiles for ASD youth. We calculated connectivity measures from diffusion tensor imaging using Bayesian estimation and probabilistic tractography. We replicated prior structural equation modeling of behavioral measures with total default mode network (DMN) connectivity to include comparisons with central executive network (CEN) connectivity and CEN-DMN connectivity. Increased within-CEN connectivity was related to metacognitive strengths. Our findings indicate behavior regulation difficulties in youth with ASD may be attributable to impaired connectivity between the CEN and DMN and social skill difficulties may be exacerbated by impaired within-DMN connectivity.
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Affiliation(s)
- Jessica Blume
- Department of Human Development and Family Sciences, Texas Tech University, P.O. Box 41230, Lubbock, TX, 79409-1230, USA.
| | | | - Chanaka N Kahathuduwa
- Department of Psychiatry and Neurology, Texas Tech University Health Sciences Center, Lubbock, USA
| | - Ann M Mastergeorge
- Department of Human Development and Family Sciences, Texas Tech University, P.O. Box 41230, Lubbock, TX, 79409-1230, USA
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27
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Li J, Kuang S, Liu Y, Wu Y, Li H. Structural and functional brain alterations in subthreshold depression: A multimodal coordinate-based meta-analysis. Hum Brain Mapp 2024; 45:e26702. [PMID: 38726998 PMCID: PMC11083971 DOI: 10.1002/hbm.26702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/09/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024] Open
Abstract
Imaging studies of subthreshold depression (StD) have reported structural and functional abnormalities in a variety of spatially diverse brain regions. However, there is no consensus among different studies. In the present study, we applied a multimodal meta-analytic approach, the Activation Likelihood Estimation (ALE), to test the hypothesis that StD exhibits spatially convergent structural and functional brain abnormalities compared to healthy controls. A total of 31 articles with 25 experiments were included, collectively representing 1001 subjects with StD. We found consistent differences between StD and healthy controls mainly in the left insula across studies with various neuroimaging methods. Further exploratory analyses found structural atrophy and decreased functional activities in the right pallidum and thalamus in StD, and abnormal spontaneous activity converged to the middle frontal gyrus. Coordinate-based meta-analysis found spatially convergent structural and functional impairments in StD. These findings provide novel insights for understanding the neural underpinnings of subthreshold depression and enlighten the potential targets for its early screening and therapeutic interventions in the future.
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Affiliation(s)
- Jingyu Li
- School of PsychologyShanghai Normal UniversityShanghaiChina
- Lab for Educational Big Data and Policymaking, Ministry of EducationShanghai Normal UniversityShanghaiChina
| | - Shunrong Kuang
- School of PsychologyShanghai Normal UniversityShanghaiChina
- Lab for Educational Big Data and Policymaking, Ministry of EducationShanghai Normal UniversityShanghaiChina
| | - Yang Liu
- School of PsychologyShanghai Normal UniversityShanghaiChina
- Department of PsychologyUniversity of WashingtonSeattleWashingtonUSA
| | - Yuedong Wu
- Lab for Educational Big Data and Policymaking, Ministry of EducationShanghai Normal UniversityShanghaiChina
| | - Haijiang Li
- School of PsychologyShanghai Normal UniversityShanghaiChina
- Lab for Educational Big Data and Policymaking, Ministry of EducationShanghai Normal UniversityShanghaiChina
- The Research Base of Online Education for Shanghai Middle and Primary SchoolsShanghaiChina
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28
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Wang M, Deng Y, Liu Y, Suo T, Guo B, Eickhoff SB, Xu J, Rao H. The common and distinct brain basis associated with adult and adolescent risk-taking behavior: Evidence from the neuroimaging meta-analysis. Neurosci Biobehav Rev 2024; 160:105607. [PMID: 38428473 DOI: 10.1016/j.neubiorev.2024.105607] [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: 08/17/2023] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Risk-taking is a common, complex, and multidimensional behavior construct that has significant implications for human health and well-being. Previous research has identified the neural mechanisms underlying risk-taking behavior in both adolescents and adults, yet the differences between adolescents' and adults' risk-taking in the brain remain elusive. This study firstly employs a comprehensive meta-analysis approach that includes 73 adult and 20 adolescent whole-brain experiments, incorporating observations from 1986 adults and 789 adolescents obtained from online databases, including Web of Science, PubMed, ScienceDirect, Google Scholar and Neurosynth. It then combines functional decoding methods to identify common and distinct brain regions and corresponding psychological processes associated with risk-taking behavior in these two cohorts. The results indicated that the neural bases underlying risk-taking behavior in both age groups are situated within the cognitive control, reward, and sensory networks. Subsequent contrast analysis revealed that adolescents and adults risk-taking engaged frontal pole within the fronto-parietal control network (FPN), but the former recruited more ventrolateral area and the latter recruited more dorsolateral area. Moreover, adolescents' risk-taking evoked brain area activity within the ventral attention network (VAN) and the default mode network (DMN) compared with adults, consistent with the functional decoding analyses. These findings provide new insights into the similarities and disparities of risk-taking neural substrates underlying different age cohorts, supporting future neuroimaging research on the dynamic changes of risk-taking.
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Affiliation(s)
- Mengmeng Wang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Business School, NingboTech University, Ningbo, China
| | - Yao Deng
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yingying Liu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | | | - Bowen Guo
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jing Xu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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29
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Kittleson AR, Woodward ND, Heckers S, Sheffield JM. The insula: Leveraging cellular and systems-level research to better understand its roles in health and schizophrenia. Neurosci Biobehav Rev 2024; 160:105643. [PMID: 38531518 DOI: 10.1016/j.neubiorev.2024.105643] [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: 01/09/2024] [Revised: 03/04/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Schizophrenia is a highly heterogeneous disorder characterized by a multitude of complex and seemingly non-overlapping symptoms. The insular cortex has gained increasing attention in neuroscience and psychiatry due to its involvement in a diverse range of fundamental human experiences and behaviors. This review article provides an overview of the insula's cellular and anatomical organization, functional and structural connectivity, and functional significance. Focusing on specific insula subregions and using knowledge gained from humans and preclinical studies of insular tracings in non-human primates, we review the literature and discuss the functional roles of each subregion, including in somatosensation, interoception, salience processing, emotional processing, and social cognition. Building from this foundation, we then extend these findings to discuss reported abnormalities of these functions in individuals with schizophrenia, implicating insular involvement in schizophrenia pathology. This review underscores the insula's vast role in the human experience and how abnormal insula structure and function could result in the wide-ranging symptoms observed in schizophrenia.
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Affiliation(s)
- Andrew R Kittleson
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN 37235, United States; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
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30
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Liu C, Li L, Pan W, Mao P, Ren L, Li B, Ma X. Executive function deficits in patients with the first episode of late-life depression before and after SSRI treatment: A pilot fMRI study. Int J Geriatr Psychiatry 2024; 39:e6095. [PMID: 38687081 DOI: 10.1002/gps.6095] [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: 05/27/2023] [Accepted: 04/15/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Executive function deficits (EFD) in late-life depression (LLD) has been reported to be associated with antidepressant treatment resistance, increased disability, and poor quality of life. However, the underlying neutral mechanisms of EFD in patients with the first episode of LLD remains unclear. METHODS A total of 27 patients with first-episode, drug-naive LLD and 27 non-depressed controls (NC) were recruited for the present research. Participants underwent the Trail Making Test, the 17-item Hamilton depression rating scale (HAMD-17) test, and task-state functional magnetic resonance imaging scans under the neutral Stroop task. LLD patients' executive functions, depressive symptoms, and brain activity were examined again after 6 months of antidepressant treatment. RESULTS Of the 27 LLD patients, 16 cases completed 6-month follow-ups. Patients in the LLD baseline group spent more time on the Trail Making Test A test than those in the NC group (p < 0.05). In the presence of an incongruency between the word color and meaning, the accuracy rate of the neutral Stroop task in the LLD baseline group was lower, and the reaction time was greater than that in the NC group, with statistically significant difference (p < 0.05). The HAMD-17 score in the LLD follow-up group was significantly lower than that in the LLD baseline group (p < 0.05). More activated brain regions were present in the LLD baseline group than in the NC group when performing the neutral Stroop task. Compared with the LLD baseline group, abnormal activation of relevant brains in the cingulate-prefrontal-parietal network of LLD patients still existed in the LLD follow-up group. CONCLUSIONS LLD patients engaged more brain areas than the NC group while performing the neutral Stroop task. Abnormal activation of the cingulate-prefrontal-parietal network could be a contributing factor to EFD in LLD. TRIAL REGISTRATION ChiCTR, ChiCTR2100042370 (Date of registration: 21/01/2021). LIMITS We didn't enroll enough first-episode, LLD patients, the robustness of the findings need to be confirmed by large sample clinical trials.
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Affiliation(s)
- Chaomeng Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Weigang Pan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Peixian Mao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Bing Li
- Hebei Provincial Mental Health Center, Baoding, China
- Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China
- The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Xin Ma
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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31
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Lin R, Meng X, Chen F, Li X, Jensen O, Theeuwes J, Wang B. Neural evidence for attentional capture by salient distractors. Nat Hum Behav 2024; 8:932-944. [PMID: 38538771 DOI: 10.1038/s41562-024-01852-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 02/21/2024] [Indexed: 04/17/2024]
Abstract
Salient objects often capture our attention, serving as distractors and hindering our current goals. It remains unclear when and how salient distractors interact with our goals, and our knowledge on the neural mechanisms responsible for attentional capture is limited to a few brain regions recorded from non-human primates. Here we conducted a multivariate analysis on human intracranial signals covering most brain regions and successfully dissociated distractor-specific representations from target-arousal signals in the high-frequency (60-100 Hz) activity. We found that salient distractors were processed rapidly around 220 ms, while target-tuning attention was attenuated simultaneously, supporting initial capture by distractors. Notably, neuronal activity specific to the distractor representation was strongest in the superior and middle temporal gyrus, amygdala and anterior cingulate cortex, while there were smaller contributions from the parietal and frontal cortices. These results provide neural evidence for attentional capture by salient distractors engaging a much larger network than previously appreciated.
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Affiliation(s)
- Rongqi Lin
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
- Department of Psychology, Zhejiang Normal University, Jinhua, China
- Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Xianghong Meng
- Department of Neurosurgery, Shenzhen University General Hospital, Shenzhen, China
| | - Fuyong Chen
- Department of Neurosurgery, University of Hongkong Shenzhen Hospital, Shenzhen, China
| | - Xinyu Li
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Ole Jensen
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Jan Theeuwes
- Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Benchi Wang
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China.
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
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32
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Nabizadeh F, Pirahesh K, Aarabi MH, Wennberg A, Pini L. Behavioral and dysexecutive variant of Alzheimer's disease: Insights from structural and molecular imaging studies. Heliyon 2024; 10:e29420. [PMID: 38638964 PMCID: PMC11024599 DOI: 10.1016/j.heliyon.2024.e29420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 04/02/2024] [Accepted: 04/08/2024] [Indexed: 04/20/2024] Open
Abstract
Frontal variant Alzheimer's disease (AD) manifests with either behavioral or dysexecutive syndromes. Recent efforts to gain a deeper understanding of this phenotype have led to a re-conceptualization of frontal AD. Behavioral (bAD) and dysexecutive (dAD) phenotypes could be considered subtypes, as suggested by both clinical and neuroimaging studies. In this review, we focused on imaging studies to highlight specific brain patterns in these two uncommon clinical AD phenotypes. Although studies did not compare directly these two variants, a common epicenter located in the frontal cortex could be inferred. On the contrary, 18F-FDG-PET findings suggested differing metabolic patterns, with bAD showing specific involvement of frontal regions and dAD exhibiting widespread alterations. Structural MRI findings confirmed this pattern, suggesting that degeneration might involve neural circuits associated with behavioral control in bAD and attentional networks in dAD. Furthermore, molecular imaging has identified different neocortical tau distribution in bAD and dAD patients compared to typical AD patients, although the distribution is remarkably heterogeneous. In contrast, Aβ deposition patterns are less differentiated between these atypical variants and typical AD. Although preliminary, these findings underscore the complexity of AD frontal phenotypes and suggest that they represent distinct entities. Further research is essential to refine our understanding of the pathophysiological mechanisms in frontal AD.
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Affiliation(s)
- Fardin Nabizadeh
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Kasra Pirahesh
- School of Medicine, Tehran University of Medical Science, Tehran, Iran
| | | | - Alexandra Wennberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lorenzo Pini
- Padova Neuroscience Center, University of Padova, Italy
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Park H, Baik J, Park HJ. Involvement of the anterior insula and frontal operculum during wh-question comprehension of wh-in-situ Korean language. PLoS One 2024; 19:e0298740. [PMID: 38669282 PMCID: PMC11051625 DOI: 10.1371/journal.pone.0298740] [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: 08/31/2023] [Accepted: 01/29/2024] [Indexed: 04/28/2024] Open
Abstract
In this research, we employed functional magnetic resonance imaging (fMRI) to examine the neurological basis for understanding wh-questions in wh-in-situ languages such as Korean, where wh-elements maintain their original positions instead of moving explicitly within the sentence. Our hypothesis centered on the role of the salience and attention network in comprehending wh-questions in wh-in-situ languages, such as the discernment of wh-elements, the demarcation between interrogative types, and the allocation of cognitive resources towards essential constituents vis-à-vis subordinate elements in order to capture the speaker's communicative intent. We explored subject and object wh-questions and scrambled wh-questions, contrasting them with yes/no questions in Korean. Increased activation was observed in the left anterior insula and bilateral frontal operculum, irrespective of the wh-position or scrambling of wh-element. These results suggest the interaction between the salience and attentional system and the syntactic linguistic system, particularly the left anterior insula and bilateral frontal operculum, in comprehending wh-questions in wh-in-situ languages.
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Affiliation(s)
- Haeil Park
- Department of English Language and Literature, Kyung Hee University, Seoul, Republic of Korea
| | - Jiseon Baik
- Department of English Language and Literature, Kyung Hee University, Seoul, Republic of Korea
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea
| | - Hae-Jeong Park
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea
- Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea
- BK21 PLUS Project for Medical Science, Department of Nuclear Medicine, Department of Psychiatry, Yonsei University College of Medicine, Seoul, South Korea
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Talpir I, Livneh Y. Stereotyped goal-directed manifold dynamics in the insular cortex. Cell Rep 2024; 43:114027. [PMID: 38568813 PMCID: PMC11063631 DOI: 10.1016/j.celrep.2024.114027] [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: 11/10/2023] [Revised: 02/12/2024] [Accepted: 03/15/2024] [Indexed: 04/05/2024] Open
Abstract
The insular cortex is involved in diverse processes, including bodily homeostasis, emotions, and cognition. However, we lack a comprehensive understanding of how it processes information at the level of neuronal populations. We leveraged recent advances in unsupervised machine learning to study insular cortex population activity patterns (i.e., neuronal manifold) in mice performing goal-directed behaviors. We find that the insular cortex activity manifold is remarkably consistent across different animals and under different motivational states. Activity dynamics within the neuronal manifold are highly stereotyped during rewarded trials, enabling robust prediction of single-trial outcomes across different mice and across various natural and artificial motivational states. Comparing goal-directed behavior with self-paced free consumption, we find that the stereotyped activity patterns reflect task-dependent goal-directed reward anticipation, and not licking, taste, or positive valence. These findings reveal a core computation in insular cortex that could explain its involvement in pathologies involving aberrant motivations.
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Affiliation(s)
- Itay Talpir
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Yoav Livneh
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
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35
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Tsang T, Green SA, Liu J, Lawrence K, Jeste S, Bookheimer SY, Dapretto M. Salience network connectivity is altered in 6-week-old infants at heightened likelihood for developing autism. Commun Biol 2024; 7:485. [PMID: 38649483 PMCID: PMC11035613 DOI: 10.1038/s42003-024-06016-9] [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: 03/20/2023] [Accepted: 03/06/2024] [Indexed: 04/25/2024] Open
Abstract
Converging evidence implicates disrupted brain connectivity in autism spectrum disorder (ASD); however, the mechanisms linking altered connectivity early in development to the emergence of ASD symptomatology remain poorly understood. Here we examined whether atypicalities in the Salience Network - an early-emerging neural network involved in orienting attention to the most salient aspects of one's internal and external environment - may predict the development of ASD symptoms such as reduced social attention and atypical sensory processing. Six-week-old infants at high likelihood of developing ASD based on family history exhibited stronger Salience Network connectivity with sensorimotor regions; infants at typical likelihood of developing ASD demonstrated stronger Salience Network connectivity with prefrontal regions involved in social attention. Infants with higher connectivity with sensorimotor regions had lower connectivity with prefrontal regions, suggesting a direct tradeoff between attention to basic sensory versus socially-relevant information. Early alterations in Salience Network connectivity predicted subsequent ASD symptomatology, providing a plausible mechanistic account for the unfolding of atypical developmental trajectories associated with vulnerability to ASD.
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Affiliation(s)
| | - Shulamite A Green
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Cognitive Neuroscience, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Katherine Lawrence
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shafali Jeste
- Children's Hospital Los Angeles, USC Keck School of Medicine, Los Angeles, CA, USA
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Cognitive Neuroscience, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mirella Dapretto
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
- Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
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36
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Das A, Menon V. Electrophysiological dynamics of a triple network model of cognitive control: A multi-experiment replication. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.28.582593. [PMID: 38463954 PMCID: PMC10925291 DOI: 10.1101/2024.02.28.582593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Dynamic interactions between large-scale brain networks are thought to underpin human cognitive processes, but their underlying electrophysiological dynamics remain unknown. The triple network model, which highlights the salience, default mode, and frontoparietal networks, provides a fundamental framework for understanding these interactions. To unravel the electrophysiological mechanisms underlying these network dynamics, we utilized intracranial EEG recordings from 177 participants across four distinct memory experiments. Our findings revealed a consistent pattern of directed information flow from the anterior insula, a key node of the salience network, to both the default mode and frontoparietal networks. Notably, this pattern of information transmission was observed regardless of the nature of the tasks, whether they involved externally driven stimuli during encoding or internally governed processes during free recall. Moreover, the directed information flow from the anterior insula to the other networks was present irrespective of the activation or suppression states of individual network nodes. Furthermore, we observed a specific suppression of high-gamma power in the posterior cingulate cortex/precuneus node of the default mode network during memory encoding, but not recall, suggesting a task-specific functional down-regulation of this region. Crucially, these results were reliably replicated across all four experiments, underscoring the robustness and generalizability of our findings. Our study significantly advances the understanding of how coordinated neural network interactions underpin cognitive operations and highlights the critical role of the anterior insula in orchestrating the dynamics of large-scale brain networks. These findings have important implications for elucidating the neural basis of cognitive control and its potential disruptions in various neurological and psychiatric disorders.
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Affiliation(s)
- Anup Das
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305
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Guo X, Zhang X, Liu J, Zhai G, Zhang T, Zhou R, Lu H, Gao L. Resolving heterogeneity in dynamics of synchronization stability within the salience network in autism spectrum disorder. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110956. [PMID: 38296155 DOI: 10.1016/j.pnpbp.2024.110956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 01/16/2024] [Accepted: 01/28/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Heterogeneity in resting-state functional connectivity (FC) are one of the characteristics of autism spectrum disorder (ASD). Traditional resting-state FC primarily focuses on linear correlations, ignoring the nonlinear properties involved in synchronization between networks or brain regions. METHODS In the present study, the cross-recurrence quantification analysis, a nonlinear method based on dynamical systems, was utilized to quantify the synchronization stability between brain regions within the salience network (SN) of ASD. Using the resting-state functional magnetic resonance imaging data of 207 children (ASD/typically-developing controls (TC): 105/102) in Autism Brain Imaging Data Exchange database, we analyzed the laminarity and trapping time differences of the synchronization stability between the ASD subtype derived by a K-means clustering analysis and the TC group, and examined the relationship between synchronization stability and the severity of clinical symptoms of the ASD subtypes. RESULTS Based on the synchronization stability within the SN of ASD, we identified two subtypes that showed opposite changes in synchronization stability relative to the TC group. In addition, the synchronization stability of ASD subtypes 1 and 2 can predict the social interaction and communication impairments, respectively. CONCLUSIONS These findings reveal that ASD subgroups with different patterns of synchronization stability within the SN appear distinct clinical symptoms, and highlight the importance of exploring the potential neural mechanism of ASD from a nonlinear perspective.
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Affiliation(s)
- Xiaonan Guo
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China.
| | - Xia Zhang
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China
| | - Junfeng Liu
- Department of Neurology, West China Hospital, Sichuan University, China, Chengdu, 610041, China
| | - Guangjin Zhai
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China
| | - Tao Zhang
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China
| | - Rongjuan Zhou
- Maternity and Child Health Hospital of Qinhuangdao, Qinhuangdao 066000, China
| | - Huibin Lu
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China
| | - Le Gao
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China.
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38
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Grot S, Smine S, Potvin S, Darcey M, Pavlov V, Genon S, Nguyen H, Orban P. Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110950. [PMID: 38266867 DOI: 10.1016/j.pnpbp.2024.110950] [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: 06/02/2023] [Revised: 11/11/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them. METHODS To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders. RESULTS Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD. CONCLUSIONS Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
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Affiliation(s)
- Stéphanie Grot
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Salima Smine
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Stéphane Potvin
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Maëliss Darcey
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Vilena Pavlov
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hien Nguyen
- School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia; Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
| | - Pierre Orban
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
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Zhang Y, Munshi S, Burrows K, Kuplicki R, Figueroa-Hall LK, Aupperle RL, Khalsa SS, Teague TK, Taki Y, Paulus MP, Savitz J, Zheng H. Leptin's Inverse Association With Brain Morphology and Depressive Symptoms: A Discovery and Confirmatory Study Across 2 Independent Samples. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00105-8. [PMID: 38631553 DOI: 10.1016/j.bpsc.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Major depressive disorder has a complex, bidirectional relationship with metabolic dysfunction, but the neural correlates of this association are not well understood. METHODS In this cross-sectional investigation, we used a 2-step discovery and confirmatory strategy utilizing 2 independent samples (sample 1: 288 participants, sample 2: 196 participants) to examine the association between circulating indicators of metabolic health (leptin and adiponectin) and brain structures in individuals with major depressive disorder. RESULTS We found a replicable inverse correlation between leptin levels and cortical surface area within essential brain areas responsible for emotion regulation, such as the left posterior cingulate cortex, right pars orbitalis, right superior temporal gyrus, and right insula (standardized beta coefficient range: -0.27 to -0.49, puncorrected < .05). Notably, this relationship was independent of C-reactive protein levels. We also identified a significant interaction effect of leptin levels and diagnosis on the cortical surface area of the right superior temporal gyrus (standardized beta coefficient = 0.26 in sample 1, standardized beta coefficient = 0.30 in sample 2, puncorrected < .05). We also observed a positive correlation between leptin levels and atypical depressive symptoms in both major depressive disorder groups (r = 0.14 in sample 1, r = 0.29 in sample 2, puncorrected < .05). CONCLUSIONS The inverse association between leptin and cortical surface area in brain regions that are important for emotion processing and leptin's association with atypical depressive symptoms support the hypothesis that metabolic processes may be related to emotion regulation. However, the molecular mechanisms through which leptin may exert these effects should be explored further.
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Affiliation(s)
- Ye Zhang
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | | | | | | | - Leandra K Figueroa-Hall
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma
| | - Robin L Aupperle
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma
| | | | - T Kent Teague
- Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, Oklahoma; Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, Oklahoma; Department of Pharmaceutical Sciences, University of Oklahoma College of Pharmacy, Tulsa, Oklahoma
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan; Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma
| | - Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma
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40
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Seoane S, van den Heuvel M, Acebes Á, Janssen N. The subcortical default mode network and Alzheimer's disease: a systematic review and meta-analysis. Brain Commun 2024; 6:fcae128. [PMID: 38665961 PMCID: PMC11043657 DOI: 10.1093/braincomms/fcae128] [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: 10/09/2023] [Revised: 02/28/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The default mode network is a central cortical brain network suggested to play a major role in several disorders and to be particularly vulnerable to the neuropathological hallmarks of Alzheimer's disease. Subcortical involvement in the default mode network and its alteration in Alzheimer's disease remains largely unknown. We performed a systematic review, meta-analysis and empirical validation of the subcortical default mode network in healthy adults, combined with a systematic review, meta-analysis and network analysis of the involvement of subcortical default mode areas in Alzheimer's disease. Our results show that, besides the well-known cortical default mode network brain regions, the default mode network consistently includes subcortical regions, namely the thalamus, lobule and vermis IX and right Crus I/II of the cerebellum and the amygdala. Network analysis also suggests the involvement of the caudate nucleus. In Alzheimer's disease, we observed a left-lateralized cluster of decrease in functional connectivity which covered the medial temporal lobe and amygdala and showed overlap with the default mode network in a portion covering parts of the left anterior hippocampus and left amygdala. We also found an increase in functional connectivity in the right anterior insula. These results confirm the consistency of subcortical contributions to the default mode network in healthy adults and highlight the relevance of the subcortical default mode network alteration in Alzheimer's disease.
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Affiliation(s)
- Sara Seoane
- Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Instituto Universitario de Neurociencia (IUNE), University of La Laguna, Tenerife 38200, Spain
| | - Martijn van den Heuvel
- Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
- Department of Child and Adolescent Psychiatry and Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam UMC, Amsterdam 1081 HV, The Netherlands
| | - Ángel Acebes
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Department of Basic Medical Sciences, University of La Laguna, Tenerife 38200, Spain
| | - Niels Janssen
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Instituto Universitario de Neurociencia (IUNE), University of La Laguna, Tenerife 38200, Spain
- Department of Cognitive, Social and Organizational Psychology, University of La Laguna, Tenerife 38200, Spain
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41
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Restrepo-Martínez M, Ramirez-Bermudez J, Chacon-Gonzalez J, Ruiz-Garcia R, Malik R, Finger E. Defining repetitive behaviours in frontotemporal dementia. Brain 2024; 147:1149-1165. [PMID: 38134315 DOI: 10.1093/brain/awad431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/08/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Repetitive behaviours are common manifestations of frontotemporal dementia (FTD). Patients with FTD exhibit various types of repetitive behaviours with unique behavioural and cognitive substrates, including compulsivity, lack of impulse control, stereotypy and hoarding. Other sources of repetitive behaviours, such as restrictive interests and insistence on sameness, may also be seen in FTD. Although repetitive behaviours are highly prevalent and potentially discriminatory in this population, their expression varies widely between patients, and the field lacks consensus about the classification of these behaviours. Terms used to describe repetitive behaviours in FTD are highly heterogeneous and may lack precise definitions. This lack of harmonization of the definitions for distinct forms of repetitive behaviour limits the ability to differentiate between pathological behaviours and impedes understanding of their underlying mechanisms. This review examines established definitions of well-characterized repetitive behaviours in other neuropsychiatric disorders and proposes operational definitions applicable to patients with FTD. Building on extant models of repetitive behaviours in non-human and lesion work and models of social behavioural changes in FTD, we describe the potential neurocognitive bases for the emergence of different types of repetitive behaviours in FTD and their potential perpetuation by a predisposition towards habit formation. Finally, examples of distinct therapeutic approaches for different forms of repetitive behaviours are highlighted, along with future directions to accurately classify, measure and treat these symptoms when they impair quality of life.
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Affiliation(s)
- Miguel Restrepo-Martínez
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Deparment of Cognitive Neurology, Parkwood Institute, London, ON N6C 5J1, Canada
| | - Jesus Ramirez-Bermudez
- Department of Neuropsychiatry, National Institute of Neurology and Neurosurgery Manuel Velasco Suarez, Mexico City, 14269, Mexico
| | - Jacobo Chacon-Gonzalez
- Department of Neuropsychiatry, National Institute of Neurology and Neurosurgery Manuel Velasco Suarez, Mexico City, 14269, Mexico
| | - Ramiro Ruiz-Garcia
- Department of Neuropsychiatry, National Institute of Neurology and Neurosurgery Manuel Velasco Suarez, Mexico City, 14269, Mexico
| | - Rubina Malik
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Deparment of Cognitive Neurology, Parkwood Institute, London, ON N6C 5J1, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Deparment of Cognitive Neurology, Parkwood Institute, London, ON N6C 5J1, Canada
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Bortolini T, Laport MC, Latgé-Tovar S, Fischer R, Zahn R, de Oliveira-Souza R, Moll J. The extended neural architecture of human attachment: An fMRI coordinate-based meta-analysis of affiliative studies. Neurosci Biobehav Rev 2024; 159:105584. [PMID: 38367888 DOI: 10.1016/j.neubiorev.2024.105584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024]
Abstract
Functional imaging studies and clinical evidence indicate that cortical areas relevant to social cognition are closely integrated with evolutionarily conserved basal forebrain structures and neighboring regions, enabling human attachment and affiliative emotions. The neural circuitry of human affiliation is continually being unraveled as functional magnetic resonance imaging (fMRI) becomes increasingly prevalent, with studies examining human brain responses to various attachment figures. However, previous fMRI meta-analyses on affiliative stimuli have encountered challenges, such as low statistical power and the absence of robustness measures. To address these issues, we conducted an exhaustive coordinate-based meta-analysis of 79 fMRI studies, focusing on personalized affiliative stimuli, including one's infants, family, romantic partners, and friends. We employed complementary coordinate-based analyses (Activation Likelihood Estimation and Signed Differential Mapping) and conducted a robustness analysis of the results. Findings revealed cluster convergence in cortical and subcortical structures related to reward and motivation, salience detection, social bonding, and cognition. Our study thoroughly explores the neural correlates underpinning affiliative responses, effectively overcoming the limitations noted in previous meta-analyses. It provides an extensive view of the neural substrates associated with affiliative stimuli, illuminating the intricate interaction between cortical and subcortical regions. Our findings significantly contribute to understanding the neurobiology of human affiliation, expanding the known human attachment circuitry beyond the traditional basal forebrain regions observed in other mammals to include uniquely human isocortical structures.
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Affiliation(s)
- Tiago Bortolini
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil.
| | - Maria Clara Laport
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Sofia Latgé-Tovar
- Institute of Psychiatry, Center for Alzheimer's Disease, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Ronald Fischer
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil; School of Psychology, PO Box 600, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Roland Zahn
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Ricardo de Oliveira-Souza
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil
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Ren W, Wang M, Wang Q, Huang Q, Feng S, Tao J, Wen C, Xu M, He J, Yang C, Zhao K, Yu X. Altered functional connectivity in patients with post-stroke fatigue: A resting-state fMRI study. J Affect Disord 2024; 350:468-475. [PMID: 38224743 DOI: 10.1016/j.jad.2024.01.129] [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: 08/12/2023] [Revised: 11/24/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND Post-stroke fatigue (PSF) was a common complication after stroke. This study aimed to explore the neuroimaging mechanism of PSF, which was rarely studied. METHODS Patients with the first episode of ischemic stroke were recruited from the First Affiliated Hospital of Wenzhou Medical University between March 2021 and December 2022. The fatigue severity scale (FSS) was used to assess fatigue symptoms. PSF was diagnosed by a neurologist based on the FSS score and PSF diagnostic criteria. All the patients were scanned by resting-state functional MRI (rs-fMRI). Precuneus, the posterior node of default-mode network (pDMN), was related to fatigue. Therefore, imaging data were further analyzed by the seed-based resting-state functional connectivity (FC) approach, with the left (PCUN.L) and right precuneus (PCUN.R) being the seeds. RESULTS A total of 70 patients with acute ischemic stroke were finally recruited, comprising 40 patients with PSF and 30 patients without PSF. Both the PCUN.L and PCUN.R seeds (pDMN) exhibited decreased FC with the prefrontal lobes located at the anterior part of DMN (aDMN), and the FC values were negatively correlated with FSS scores (both p < 0.001). These two seeds also exhibited increased FC with the right insula, and the FC values were positively correlated with FSS scores (both p < 0.05). CONCLUSION The abnormal FC between the aDMN and pDMN was associated with PSF. Besides, the insula, related to interoception, might also play an important role in PSF.
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Affiliation(s)
- Wenwei Ren
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Mengpu Wang
- School of Mental Health, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, China; School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Qiongzhang Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Qiqi Huang
- Pediatric nursing unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shengchuang Feng
- Centre for Lifelong Learning and Individualised Cognition, Nanyang Technological University, Singapore
| | - Jiejie Tao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Caiyun Wen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Minjie Xu
- Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, China
| | - Jincai He
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chuang Yang
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ke Zhao
- School of Mental Health, Wenzhou Medical University, Wenzhou, China; Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, China; The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Xin Yu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China; Peking University Institute of Mental Health (Sixth Hospital), Beijing, China; National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China; Beijing Municipal Key Laboratory for Translational Research on Diagnosis and Treatment of Dementia, Beijing, China.
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Goodman ZT, Nomi JS, Kornfeld S, Bolt T, Saumure RA, Romero C, Bainter SA, Uddin LQ. Brain signal variability and executive functions across the life span. Netw Neurosci 2024; 8:226-240. [PMID: 38562287 PMCID: PMC10918754 DOI: 10.1162/netn_a_00347] [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: 04/21/2023] [Accepted: 10/23/2023] [Indexed: 04/04/2024] Open
Abstract
Neural variability is thought to facilitate survival through flexible adaptation to changing environmental demands. In humans, such capacity for flexible adaptation may manifest as fluid reasoning, inhibition of automatic responses, and mental set-switching-skills falling under the broad domain of executive functions that fluctuate over the life span. Neural variability can be quantified via the BOLD signal in resting-state fMRI. Variability of large-scale brain networks is posited to underpin complex cognitive activities requiring interactions between multiple brain regions. Few studies have examined the extent to which network-level brain signal variability across the life span maps onto high-level processes under the umbrella of executive functions. The present study leveraged a large publicly available neuroimaging dataset to investigate the relationship between signal variability and executive functions across the life span. Associations between brain signal variability and executive functions shifted as a function of age. Limbic-specific variability was consistently associated with greater performance across subcomponents of executive functions. Associations between executive function subcomponents and network-level variability of the default mode and central executive networks, as well as whole-brain variability, varied across the life span. Findings suggest that brain signal variability may help to explain to age-related differences in executive functions across the life span.
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Affiliation(s)
| | - Jason S. Nomi
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Salome Kornfeld
- Department of Psychology, University of Miami, Coral Gables, FL, USA
- REHAB Basel, Klinik für Neurorehabilitation und Paraplegiologie, Basel, Switzerland
| | - Taylor Bolt
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Roger A. Saumure
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Celia Romero
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Sierra A. Bainter
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Lucina Q. Uddin
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
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Jiang S, Pei H, Chen J, Li H, Liu Z, Wang Y, Gong J, Wang S, Li Q, Duan M, Calhoun VD, Yao D, Luo C. Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges. Int J Neural Syst 2024; 34:2450017. [PMID: 38372049 DOI: 10.1142/s0129065724500175] [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] [Indexed: 02/20/2024]
Abstract
Idiopathic generalized epilepsy (IGE) is characterized by cryptogenic etiology and the striatum and cerebellum are recognized as modulators of epileptic network. We collected simultaneous electroencephalogram and functional magnetic resonance imaging data from 145 patients with IGE, 34 of whom recorded interictal epileptic discharges (IEDs) during scanning. In states without IEDs, hierarchical connectivity was performed to search core cortical regions which might be potentially modulated by striatum and cerebellum. Node-node and edge-edge moderation models were constructed to depict direct and indirect moderation effects in states with and without IEDs. Patients showed increased hierarchical connectivity with sensorimotor cortices (SMC) and decreased connectivity with regions in the default mode network (DMN). In the state without IEDs, striatum, cerebellum, and thalamus were linked to weaken the interactions of regions in the salience network (SN) with DMN and SMC. In periods with IEDs, overall increased moderation effects on the interaction between regions in SN and DMN, and between regions in DMN and SMC were observed. The thalamus and striatum were implicated in weakening interactions between regions in SN and SMC. The striatum and cerebellum moderated the cortical interaction among DMN, SN, and SMC in alliance with the thalamus, contributing to the dysfunction in states with and without IEDs in IGE. The current work revealed state-specific modulation effects of striatum and cerebellum on thalamocortical circuits and uncovered the potential core cortical targets which might contribute to develop new clinical neuromodulation techniques.
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Affiliation(s)
- Sisi Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Haonan Pei
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Junxia Chen
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Hechun Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Zetao Liu
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Yuehan Wang
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - Jinnan Gong
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- School of Computer Science, Chengdu University of Information Technology, Chengdu, P. R. China
| | - Sheng Wang
- Department of Neurology, Hainan Medical University, Hainan 571199, P. R. China
| | - Qifu Li
- Department of Neurology, Hainan Medical University, Hainan 571199, P. R. China
| | - Mingjun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, P. R. China
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
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Zhou Z, Gao Y, Bao W, Liang K, Cao L, Tang M, Li H, Hu X, Zhang L, Sun H, Roberts N, Gong Q, Huang X. Distinctive intrinsic functional connectivity alterations of anterior cingulate cortex subdivisions in major depressive disorder: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 159:105583. [PMID: 38365137 DOI: 10.1016/j.neubiorev.2024.105583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/22/2024] [Accepted: 02/11/2024] [Indexed: 02/18/2024]
Abstract
Evidence of whether the intrinsic functional connectivity of anterior cingulate cortex (ACC) and its subregions is altered in major depressive disorder (MDD) remains inconclusive. A systematic review and meta-analysis were therefore performed on the whole-brain resting-state functional connectivity (rsFC) studies using the ACC and its subregions as seed regions in MDD, in order to draw more reliable conclusions. Forty-four ACC-based rsFC studies were included, comprising 25 subgenual ACC-based studies, 11 pregenual ACC-based studies, and 17 dorsal ACC-based studies. Specific alterations of rsFC were identified for each ACC subregion in patients with MDD, with altered rsFC of subgenual ACC in emotion-related brain regions, of pregenual ACC in sensorimotor-related regions, and of dorsal ACC in cognition-related regions. Furthermore, meta-regression analysis revealed a significant negative correlation between the pgACC-caudate hypoconnectivity and percentage of female patients in the study cohort. This meta-analysis provides robust evidence of altered intrinsic functional connectivity of the ACC subregions in MDD, which may hold relevance to understanding the origin of, and treating, the emotional, sensorimotor and cognitive dysfunctions that are often observed in these patients.
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Affiliation(s)
- Zilin Zhou
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Yingxue Gao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Weijie Bao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Kaili Liang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Lingxiao Cao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Mengyue Tang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Hailong Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Xinyue Hu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Huaiqiang Sun
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China
| | - Neil Roberts
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Centre for Reproductive Health (CRH), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China; The Xiaman Key Lab of psychoradiology and neuromodulation, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
| | - Xiaoqi Huang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China; The Xiaman Key Lab of psychoradiology and neuromodulation, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
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Salsano I, Tain R, Giulietti G, Williams DP, Ottaviani C, Antonucci G, Thayer JF, Santangelo V. Negative emotions enhance memory-guided attention in a visual search task by increasing frontoparietal, insular, and parahippocampal cortical activity. Cortex 2024; 173:16-33. [PMID: 38354670 DOI: 10.1016/j.cortex.2023.12.014] [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: 03/21/2023] [Revised: 08/18/2023] [Accepted: 12/12/2023] [Indexed: 02/16/2024]
Abstract
Previous literature demonstrated that long-term memory representations guide spatial attention during visual search in real-world pictures. However, it is currently unknown whether memory-guided visual search is affected by the emotional content of the picture. During functional magnetic resonance imaging (fMRI), participants were asked to encode the position of high-contrast targets embedded in emotional (negative or positive) or neutral pictures. At retrieval, they performed a visual search for targets presented at the same location as during encoding, but at a much lower contrast. Behaviorally, participants detected more accurately targets presented in negative pictures compared to those in positive or neutral pictures. They were also faster in detecting targets presented at encoding in emotional (negative or positive) pictures than in neutral pictures, or targets not presented during encoding (i.e., memory-guided attention effect). At the neural level, we found increased activation in a large circuit of regions involving the dorsal and ventral frontoparietal cortex, insular and parahippocampal cortex, selectively during the detection of targets presented in negative pictures during encoding. We propose that these regions might form an integrated neural circuit recruited to select and process previously encoded target locations (i.e., memory-guided attention sustained by the frontoparietal cortex) embedded in emotional contexts (i.e., emotional contexts recollection supported by the parahippocampal cortex and emotional monitoring supported by the insular cortex). Ultimately, these findings reveal that negative emotions can enhance memory-guided visual search performance by increasing neural activity in a large-scale brain circuit, contributing to disentangle the complex relationship between emotion, attention, and memory.
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Affiliation(s)
- Ilenia Salsano
- Functional Neuroimaging Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy; PhD Program in Behavioral Neuroscience, Sapienza University of Rome, Rome, Italy.
| | - Rongwen Tain
- Campus Center of Neuroimaging, University of California, Irvine, CA, USA
| | - Giovanni Giulietti
- Functional Neuroimaging Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy; SAIMLAL Department, Sapienza University of Rome, Rome, Italy
| | - DeWayne P Williams
- Department of Psychological Science, University of California, Irvine, Irvine, USA
| | | | - Gabriella Antonucci
- Department of Psychology, Sapienza University of Rome, Rome, Italy; Santa Lucia Foundation, IRCCS, Rome, Italy
| | - Julian F Thayer
- Department of Psychological Science, University of California, Irvine, Irvine, USA
| | - Valerio Santangelo
- Functional Neuroimaging Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Philosophy, Social Sciences & Education, University of Perugia, Perugia, Italy.
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Chakraborty S, Lee SK, Arnold SM, Haast RAM, Khan AR, Schmitz TW. Focal acetylcholinergic modulation of the human midcingulo-insular network during attention: Meta-analytic neuroimaging and behavioral evidence. J Neurochem 2024; 168:397-413. [PMID: 37864501 DOI: 10.1111/jnc.15990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/18/2023] [Accepted: 09/26/2023] [Indexed: 10/23/2023]
Abstract
The basal forebrain cholinergic neurons provide acetylcholine to the cortex via large projections. Recent molecular imaging work in humans indicates that the cortical cholinergic innervation is not uniformly distributed, but rather may disproportionately innervate cortical areas relevant to supervisory attention. In this study, we therefore reexamined the spatial relationship between acetylcholinergic modulation and attention in the human cortex using meta-analytic strategies targeting both pharmacological and non-pharmacological neuroimaging studies. We found that pharmaco-modulation of acetylcholine evoked both increased activity in the anterior cingulate and decreased activity in the opercular and insular cortex. In large independent meta-analyses of non-pharmacological neuroimaging research, we demonstrate that during attentional engagement these cortical areas exhibit (1) task-related co-activation with the basal forebrain, (2) task-related co-activation with one another, and (3) spatial overlap with dense cholinergic innervations originating from the basal forebrain, as estimated by multimodal positron emission tomography and magnetic resonance imaging. Finally, we provide meta-analytic evidence that pharmaco-modulation of acetylcholine also induces a speeding of responses to targets with no apparent tradeoff in accuracy. In sum, we demonstrate in humans that acetylcholinergic modulation of midcingulo-insular hubs of the ventral attention/salience network via basal forebrain afferents may coordinate selection of task relevant information, thereby facilitating cognition and behavior.
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Affiliation(s)
- Sudesna Chakraborty
- Neuroscience Graduate Program, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
| | - Sun Kyun Lee
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
- Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada
| | - Sarah M Arnold
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
- Department of Chemical Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Roy A M Haast
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
- CRMBM, CNRS UMR 7339, Aix-Marseille University, Marseille, France
| | - Ali R Khan
- Department of Medical Biophysics, Western University, London, Ontario, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
| | - Taylor W Schmitz
- Robarts Research Institute, Western University, London, Ontario, Canada
- Western Institute for Neuroscience, Western University, London, Ontario, Canada
- Department of Physiology and Pharmacology, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
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Ortug A, Guo Y, Feldman HA, Ou Y, Warren JLA, Dieuveuil H, Baumer NT, Faja SK, Takahashi E. Autism-associated brain differences can be observed in utero using MRI. Cereb Cortex 2024; 34:bhae117. [PMID: 38602735 PMCID: PMC11008691 DOI: 10.1093/cercor/bhae117] [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: 01/18/2023] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 04/12/2024] Open
Abstract
Developmental changes that occur before birth are thought to be associated with the development of autism spectrum disorders. Identifying anatomical predictors of early brain development may contribute to our understanding of the neurobiology of autism spectrum disorders and allow for earlier and more effective identification and treatment of autism spectrum disorders. In this study, we used retrospective clinical brain magnetic resonance imaging data from fetuses who were diagnosed with autism spectrum disorders later in life (prospective autism spectrum disorders) in order to identify the earliest magnetic resonance imaging-based regional volumetric biomarkers. Our results showed that magnetic resonance imaging-based autism spectrum disorder biomarkers can be found as early as in the fetal period and suggested that the increased volume of the insular cortex may be the most promising magnetic resonance imaging-based fetal biomarker for the future emergence of autism spectrum disorders, along with some additional, potentially useful changes in regional volumes and hemispheric asymmetries.
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Affiliation(s)
- Alpen Ortug
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Yurui Guo
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Yangming Ou
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Jose Luis Alatorre Warren
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Harrison Dieuveuil
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Nicole T Baumer
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Susan K Faja
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Harvard Medical School, Brookline, MA 02115, United States
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
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Zhuo L, Jin Z, Xie K, Li S, Lin F, Zhang J, Li L. Identifying individual's distractor suppression using functional connectivity between anatomical large-scale brain regions. Neuroimage 2024; 289:120552. [PMID: 38387742 DOI: 10.1016/j.neuroimage.2024.120552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 02/24/2024] Open
Abstract
Distractor suppression (DS) is crucial in goal-oriented behaviors, referring to the ability to suppress irrelevant information. Current evidence points to the prefrontal cortex as an origin region of DS, while subcortical, occipital, and temporal regions are also implicated. The present study aimed to examine the contribution of communications between these brain regions to visual DS. To do it, we recruited two independent cohorts of participants for the study. One cohort participated in a visual search experiment where a salient distractor triggering distractor suppression to measure their DS and the other cohort filled out a Cognitive Failure Questionnaire to assess distractibility in daily life. Both cohorts collected resting-state functional magnetic resonance imaging (rs-fMRI) data to investigate function connectivity (FC) underlying DS. First, we generated predictive models of the DS measured in visual search task using resting-state functional connectivity between large anatomical regions. It turned out that the models could successfully predict individual's DS, indicated by a significant correlation between the actual and predicted DS (r = 0.32, p < 0.01). Importantly, Prefrontal-Temporal, Insula-Limbic and Parietal-Occipital connections contributed to the prediction model. Furthermore, the model could also predict individual's daily distractibility in the other independent cohort (r = -0.34, p < 0.05). Our findings showed the efficiency of the predictive models of distractor suppression encompassing connections between large anatomical regions and highlighted the importance of the communications between attention-related and visual information processing regions in distractor suppression. Current findings may potentially provide neurobiological markers of visual distractor suppression.
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Affiliation(s)
- Lei Zhuo
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Zhenlan Jin
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.
| | - Ke Xie
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Simeng Li
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Feng Lin
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Junjun Zhang
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Ling Li
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.
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