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Zhang X, Song M, Jiang W, Lu Y, Chu C, Li W, Wang H, Shi W, Lan Y, Jiang T. Evolution of the Rich Club Properties in Mouse, Macaque, and Human Brain Networks: A Study of Functional Integration, Segregation, and Balance. Neurosci Bull 2025:10.1007/s12264-025-01393-5. [PMID: 40221944 DOI: 10.1007/s12264-025-01393-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 01/15/2025] [Indexed: 04/15/2025] Open
Abstract
The rich club, as a community of highly interconnected nodes, serves as the topological center of the network. However, the similarities and differences in how the rich club supports functional integration and segregation in the brain across different species remain unknown. In this study, we first detected and validated the rich club in the structural networks of mouse, monkey, and human brains using neuronal tracing or diffusion magnetic resonance imaging data. Further, we assessed the role of rich clubs in functional integration, segregation, and balance using quantitative metrics. Our results indicate that the presence of a rich club facilitates whole-brain functional integration in all three species, with the functional networks of higher species exhibiting greater integration. These findings are expected to help to understand the relationship between brain structure and function from the perspective of brain evolution.
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Affiliation(s)
- Xiaoru Zhang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Ming Song
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing, 100049, China.
- Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou, 425000, China.
| | - Wentao Jiang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuheng Lu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
- Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, 100084, China
| | - Congying Chu
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Wen Li
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Haiyan Wang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, 3001, Leuven, Belgium
| | - Weiyang Shi
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Yueheng Lan
- School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China
- State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Tianzi Jiang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing, 100049, China
- Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou, 425000, China
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Kollenburg L, Arnts H, Green A, Strauss I, Vinke S, Kurt E. The cingulum: anatomy, connectivity and what goes beyond. Brain Commun 2025; 7:fcaf048. [PMID: 39949403 PMCID: PMC11824423 DOI: 10.1093/braincomms/fcaf048] [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: 05/05/2024] [Revised: 01/12/2025] [Accepted: 01/30/2025] [Indexed: 02/16/2025] Open
Abstract
For over half a century, the cingulum has been the subject of neuroanatomical and therapeutic investigations owing to its wide range of functions and involvement in various neurological and psychiatric diseases. Recent clinical studies investigating neurosurgical techniques targeting the cingulum, like deep brain stimulation of the anterior cingulate cortex and cingulotomy, have further boosted interests in this central 'hub' as a target for chronic intractable pain. Proper targeting within the cingulum is essential to achieve sufficient pain relief. Despite the cingulum being the centre of research for over a century, its structural and functional organization remains a subject to debate, consequently complicating neurosurgical targeting of this area. This study aims to review anatomical and connectivity data of the cingulum from a clinical perspective in order to improve understanding of its role in pain. For the current study, a systematic literature search was performed to assess the anatomy and functional and structural connectivity of the cingulate bundle and cortex. These outcomes focus on MRI and PET data. Articles were searched within the PubMed database, and additional articles were found manually through reviews or references cited within the articles. After exclusion, 70 articles remained included in this analysis, with 50, 29 and 10 studies describing human, monkey and rat subjects, respectively. Outcomes of this analysis show the presence of various anatomical models, each describing other subdivisions within the cingulum. Moreover, connectivity data suggest that the cingulate bundle consists of three distinct fibre projections, including the thalamocortical, cingulate gyrus and anterior frontal and posterior parietal projections. Further, the cingulum is responsible for a variety of functions involved in chronic pain, like sensory processing, memory, spatial functioning, reward, cognition, emotion, visceromotor and endocrine control. Based on the current outcomes, it can be concluded that the cingulum is a central 'hub' for pain processing, because it is a melting pot for memory, cognition and affect that are involved in the complex phenomenon of pain experience, memory, spatial functioning, reward, cognition, emotion, visceromotor and endocrine control. Variability in anatomical and connectivity models complicate proper and standardized neurosurgical targeting, consequently leading to clinicians often being reluctant on stimulation and/or lesioning of the cingulum. Hence, future research should be dedicated to the standardization of these models, to allow for optimal targeting and management of patients with chronic intractable pain.
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Affiliation(s)
- Linda Kollenburg
- Department of Neurosurgery, Functional Neurosurgery Unit, Radboud University Medical Center, Nijmegen 6525 GA,Netherlands
| | - Hisse Arnts
- Department of Neurosurgery, Functional Neurosurgery Unit, Radboud University Medical Center, Nijmegen 6525 GA,Netherlands
| | - Alexander Green
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Department of Clinical Neuroscience and Surgery, University of Oxford, Oxford OX39DU, UK
| | - Ido Strauss
- Department of Neurosurgery, Functional Neurosurgery Unit, Tel Aviv Medical Center, Tel Aviv 6801298, Israel
| | - Saman Vinke
- Department of Neurosurgery, Functional Neurosurgery Unit, Radboud University Medical Center, Nijmegen 6525 GA,Netherlands
| | - Erkan Kurt
- Department of Neurosurgery, Functional Neurosurgery Unit, Radboud University Medical Center, Nijmegen 6525 GA,Netherlands
- Department of Pain & Palliative Care, Radboud University Medical Center, Nijmegen 6525 GA,Netherlands
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Oerlemans J, Alejandro RJ, Van Roost D, Boon P, De Herdt V, Meurs A, Holroyd CB. Unravelling the origin of reward positivity: a human intracranial event-related brain potential study. Brain 2025; 148:199-211. [PMID: 39101587 DOI: 10.1093/brain/awae259] [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: 03/25/2024] [Revised: 06/04/2024] [Accepted: 07/04/2024] [Indexed: 08/06/2024] Open
Abstract
Reward positivity (RewP) is an event-related brain potential component that emerges ∼250-350 ms after receiving reward-related feedback stimuli and is believed to be important for reinforcement learning and reward processing. Although numerous localization studies have indicated that the anterior cingulate cortex (ACC) is the neural generator of this component, other studies have identified sources outside of the ACC, fuelling a debate about its origin. Because the results of EEG and magnetoencephalography source-localization studies are severely limited by the inverse problem, we addressed this question by leveraging the high spatial and temporal resolution of intracranial EEG. We predicted that we would identify a neural generator of rthe RewP in the caudal ACC. We recorded intracranial EEG in 19 patients with refractory epilepsy who underwent invasive video-EEG monitoring at Ghent University Hospital, Belgium. Participants engaged in the virtual T-maze task, a trial-and-error task known to elicit a canonical RewP, while scalp and intracranial EEG were recorded simultaneously. The RewP was identified using a difference wave approach for both scalp and intracranial EEG. The data were aggregated across participants to create a virtual 'meta-participant' that contained all the recorded intracranial event-related brain potentials with respect to their intracranial contact locations. We used both hypothesis-driven (focused on ACC) and exploratory (whole-brain analysis) approaches to segment the brain into regions of interest. For each region of interest, we evaluated the degree to which the time course of the absolute current density (ACD) activity mirrored the time course of the RewP, and we confirmed the statistical significance of the results using permutation analysis. The grand average waveform of the scalp data revealed a RewP at 309 ms after reward feedback with a frontocentral scalp distribution, consistent with the identification of this component as the RewP. The meta-participant contained intracranial event-related brain potentials recorded from 582 intracranial contacts in total. The ACD activity of the aggregated intracranial event-related brain potentials was most similar to the RewP in the left caudal ACC, left dorsolateral prefrontal cortex, left frontomedial cortex and left white matter, with the highest score attributed to caudal ACC, as predicted. To our knowledge, this is the first study to use intracranial EEG aggregated across multiple human epilepsy patients and current source density analysis to identify the neural generator(s) of the RewP. These results provide direct evidence that the ACC is a neural generator of the RewP.
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Affiliation(s)
- Joyce Oerlemans
- 4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium
- Department of Experimental Psychology, Ghent University, 9000 Ghent, Belgium
| | - Ricardo J Alejandro
- Department of Experimental Psychology, Ghent University, 9000 Ghent, Belgium
| | - Dirk Van Roost
- Department of Human Structure and Repair, Ghent University, 9000 Ghent, Belgium
- Department of Neurosurgery, Ghent University Hospital, 9000 Ghent, Belgium
| | - Paul Boon
- 4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium
- Department of Neurology, Reference Center for Refractory Epilepsy, Ghent University Hospital, 9000 Ghent, Belgium
| | - Veerle De Herdt
- 4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium
- Department of Neurology, Reference Center for Refractory Epilepsy, Ghent University Hospital, 9000 Ghent, Belgium
| | - Alfred Meurs
- 4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium
- Department of Neurology, Reference Center for Refractory Epilepsy, Ghent University Hospital, 9000 Ghent, Belgium
| | - Clay B Holroyd
- Department of Experimental Psychology, Ghent University, 9000 Ghent, Belgium
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Wang J, Liu S, Liang P, Cui B, Wang Z. Aberrant functional connectivity between the retrosplenial cortex and hippocampal subregions in amnestic mild cognitive impairment and Alzheimer's disease. Brain Commun 2024; 7:fcae476. [PMID: 39816192 PMCID: PMC11733685 DOI: 10.1093/braincomms/fcae476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 11/21/2024] [Accepted: 12/30/2024] [Indexed: 01/18/2025] Open
Abstract
The posterior cingulate cortex and hippocampus are the core regions involved in episodic memory, and they exhibit functional connectivity changes in the development and progression of Alzheimer's disease. Previous studies have demonstrated that the posterior cingulate cortex and hippocampus are both cytoarchitectonically heterogeneous regions. Specifically, the retrosplenial cortex, typically subsumed under the posterior cingulate cortex, is an area functionally and anatomically distinct from the posterior cingulate cortex, and the hippocampus is composed of several subregions that participate in multiple cognitive processes. However, little is known about the functional connectivity patterns of the retrosplenial cortex or other parts of the posterior cingulate cortex with hippocampal subregions and their differential vulnerability to Alzheimer's disease pathology. Demographic data, neuropsychological assessments, and resting-state functional magnetic resonance imaging data were collected from 60 Alzheimer's disease participants, 60 participants with amnestic mild cognitive impairment, and 60 sex-matched normal controls. The bilateral retrosplenial cortex, other parts of the posterior cingulate cortex, and hippocampus subregions (including the bilateral anterior hippocampus and posterior hippocampus) were selected to investigate functional connectivity alterations in amnestic mild cognitive impairment and Alzheimer's disease. Resting-state functional connectivity analysis demonstrated heterogeneity in the degree of connectivity between the hippocampus and different parts of the total posterior cingulate cortex, with considerably greater functional connectivity of the retrosplenial cortex with the hippocampus compared with other parts of the posterior cingulate cortex. Furthermore, the bilateral retrosplenial cortex exhibited widespread intrinsic functional connectivity with all anterior-posterior hippocampus subregions. Compared to the normal controls, the amnestic mild cognitive impairment and Alzheimer's disease groups showed different magnitudes of decreased functional connectivity between the retrosplenial cortex and the contralateral posterior hippocampus. Additionally, diminished functional connectivity between the left retrosplenial cortex and right posterior hippocampus was correlated with clinical disease severity in amnestic mild cognitive impairment subjects, and the combination of multiple functional connectivity indicators of the retrosplenial cortex can discriminate the three groups from each other. These findings confirm and extend previous studies suggesting that the retrosplenial cortex is extensively and functionally connected with hippocampus subregions and that these functional connections are selectively affected in the Alzheimer's disease continuum, with prominent disruptions in functional connectivity between the retrosplenial cortex and contralateral posterior hippocampus underpinning episodic memory impairment associated with the disease.
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Affiliation(s)
- Junkai Wang
- Department of Radiology, Aerospace Center Hospital, Beijing 100049, China
| | - Shui Liu
- Department of Radiology, Aerospace Center Hospital, Beijing 100049, China
| | - Peipeng Liang
- School of Psychology, Capital Normal University, Beijing 100048, China
| | - Bin Cui
- Department of Radiology, Aerospace Center Hospital, Beijing 100049, China
| | - Zhiqun Wang
- Department of Radiology, Aerospace Center Hospital, Beijing 100049, China
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Tian Q, Greig EE, Davatzikos C, Landman BA, Resnick SM, Ferrucci L. Higher skeletal muscle mitochondrial oxidative capacity is associated with preserved brain structure up to over a decade. Nat Commun 2024; 15:10786. [PMID: 39737971 DOI: 10.1038/s41467-024-55009-z] [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: 06/21/2024] [Accepted: 11/25/2024] [Indexed: 01/01/2025] Open
Abstract
Impaired muscle mitochondrial oxidative capacity is associated with future cognitive impairment, and higher levels of PET and blood biomarkers of Alzheimer's disease and neurodegeneration. Here, we examine its associations with up to over a decade-long changes in brain atrophy and microstructure. Higher in vivo skeletal muscle oxidative capacity via MR spectroscopy (post-exercise recovery rate, kPCr) is associated with less ventricular enlargement and brain aging progression, and less atrophy in specific regions, notably primary sensorimotor cortex, temporal white and gray matter, thalamus, occipital areas, cingulate cortex, and cerebellum white matter. Higher kPCr is also associated with less microstructural integrity decline in white matter around cingulate, including superior longitudinal fasciculus, corpus callosum, and cingulum. Higher in vivo muscle oxidative capacity is associated with preserved brain structure up to over a decade, particularly in areas important for cognition, motor function, and sensorimotor integration.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
| | - Erin E Greig
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Christos Davatzikos
- Radiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bennett A Landman
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Susan M Resnick
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
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Cai J, Xie M, Liang S, Gong J, Deng W, Guo W, Ma X, Sham PC, Wang Q, Li T. Dysfunction of thalamocortical circuits in early-onset schizophrenia. Cereb Cortex 2024; 34:bhae313. [PMID: 39106176 DOI: 10.1093/cercor/bhae313] [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: 03/27/2024] [Revised: 06/30/2024] [Accepted: 07/21/2024] [Indexed: 08/09/2024] Open
Abstract
Previous studies have demonstrated that the thalamus is involved in multiple functional circuits in participants with schizophrenia. However, less is known about the thalamocortical circuit in the rare subtype of early-onset schizophrenia. A total of 110 participants with early-onset schizophrenia (47 antipsychotic-naive patients) and 70 matched healthy controls were recruited and underwent resting-state functional and diffusion-weighted magnetic resonance imaging scans. A data-driven parcellation method that combined the high spatial resolution of diffusion magnetic resonance imaging and the high sensitivity of functional magnetic resonance imaging was used to divide the thalamus. Next, the functional connectivity between each thalamic subdivision and the cortex/cerebellum was investigated. Compared to healthy controls, individuals with early-onset schizophrenia exhibited hypoconnectivity between subdivisions of the thalamus and the frontoparietal network, visual network, ventral attention network, somatomotor network and cerebellum, and hyperconnectivity between subdivisions of thalamus and the parahippocampal and temporal gyrus, which were included in limbic network. The functional connectivity between the right posterior cingulate cortex and 1 subdivision of the thalamus (region of interest 1) was positively correlated with the general psychopathology scale score. This study showed that the specific thalamocortical dysconnection in individuals with early-onset schizophrenia involves the prefrontal, auditory and visual cortices, and cerebellum. This study identified thalamocortical connectivity as a potential biomarker and treatment target for early-onset schizophrenia.
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Affiliation(s)
- Jia Cai
- Mental Health Center, West China Hospital of Sichuan University, No. 28th Dianxin Nan Str. Chengdu, Sichuan, 610041, China
| | - Min Xie
- Mental Health Center, West China Hospital of Sichuan University, No. 28th Dianxin Nan Str. Chengdu, Sichuan, 610041, China
| | - Sugai Liang
- Affiliated Mental Health Centre and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, No. 305th Tianmushan Road, Xihu District, Hangzhou, Zhejiang 310013, China
| | - Jinnan Gong
- School of Computer Science, Chengdu University of Information Technology, No. 2006th, Xiyuan Road, Pidu District, Chengdu, Sichuan 611700, China
| | - Wei Deng
- Affiliated Mental Health Centre and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, No. 305th Tianmushan Road, Xihu District, Hangzhou, Zhejiang 310013, China
| | - Wanjun Guo
- Affiliated Mental Health Centre and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, No. 305th Tianmushan Road, Xihu District, Hangzhou, Zhejiang 310013, China
| | - Xiaohong Ma
- Mental Health Center, West China Hospital of Sichuan University, No. 28th Dianxin Nan Str. Chengdu, Sichuan, 610041, China
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Central and Western District, Hong Kong, Special Administrative Region, 999077, China
- Centre for PanorOmic Sciences, The University of Hong Kong, Pokfulam, Central and Western District, Hong Kong, Special Administrative Region, 999077, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Central and Western District, Hong Kong, Special Administrative Region, 999077, China
| | - Qiang Wang
- Mental Health Center, West China Hospital of Sichuan University, No. 28th Dianxin Nan Str. Chengdu, Sichuan, 610041, China
| | - Tao Li
- Affiliated Mental Health Centre and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, No. 305th Tianmushan Road, Xihu District, Hangzhou, Zhejiang 310013, China
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Mahgoub R, Bayram AK, Spencer DD, Alkawadri R. Functional parcellation of the cingulate gyrus by electrical cortical stimulation: a synthetic literature review and future directions. J Neurol Neurosurg Psychiatry 2024; 95:704-721. [PMID: 38242679 DOI: 10.1136/jnnp-2023-332246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/30/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND The cingulate gyrus (CG), a brain structure above the corpus callosum, is recognised as part of the limbic system and plays numerous vital roles. However, its full functional capacity is yet to be understood. In recent years, emerging evidence from imaging modalities, supported by electrical cortical stimulation (ECS) findings, has improved our understanding. To our knowledge, there is a limited number of systematic reviews of the cingulate function studied by ECS. We aim to parcellate the CG by reviewing ECS studies. DESIGN/METHODS We searched PubMed and Embase for studies investigating CG using ECS. A total of 30 studies met the inclusion criteria. We evaluated the ECS responses across the cingulate subregions and summarised the reported findings. RESULTS We included 30 studies (totalling 887 patients, with a mean age of 31.8±9.8 years). The total number of electrodes implanted within the cingulate was 3028 electrode contacts; positive responses were obtained in 941 (31.1%, median percentages, 32.3%, IQR 22.2%-64.3%). The responses elicited from the CG were as follows. Simple motor (8 studies, 26.7 %), complex motor (10 studies, 33.3%), gelastic with and without mirth (7 studies, 23.3%), somatosensory (9 studies, 30%), autonomic (11 studies, 36.7 %), psychic (8 studies, 26.7%) and vestibular (3 studies, 10%). Visual and speech responses were also reported. Despite some overlap, the results indicate that the anterior cingulate cortex is responsible for most emotional, laughter and autonomic responses, while the middle cingulate cortex controls most complex motor behaviours, and the posterior cingulate cortex (PCC) regulates visual, among various other responses. Consistent null responses have been observed across different regions, emphasising PCC. CONCLUSIONS Our results provide a segmental mapping of the functional properties of CG, helping to improve precision in the surgical planning of epilepsy.
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Affiliation(s)
- Rawan Mahgoub
- Department of Neurology, The University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA
| | - Ayse Kacar Bayram
- Department of Pediatrics, Division of Pediatric Neurology, University of Health Sciences, Kayseri City Hospital, Kayseri, Turkey
| | - Dennis D Spencer
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Rafeed Alkawadri
- Department of Neurology, The University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA
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Bonetti L, Fernández-Rubio G, Carlomagno F, Dietz M, Pantazis D, Vuust P, Kringelbach ML. Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. Nat Commun 2024; 15:4313. [PMID: 38773109 PMCID: PMC11109219 DOI: 10.1038/s41467-024-48302-4] [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: 06/06/2023] [Accepted: 04/25/2024] [Indexed: 05/23/2024] Open
Abstract
Our brain is constantly extracting, predicting, and recognising key spatiotemporal features of the physical world in order to survive. While neural processing of visuospatial patterns has been extensively studied, the hierarchical brain mechanisms underlying conscious recognition of auditory sequences and the associated prediction errors remain elusive. Using magnetoencephalography (MEG), we describe the brain functioning of 83 participants during recognition of previously memorised musical sequences and systematic variations. The results show feedforward connections originating from auditory cortices, and extending to the hippocampus, anterior cingulate gyrus, and medial cingulate gyrus. Simultaneously, we observe backward connections operating in the opposite direction. Throughout the sequences, the hippocampus and cingulate gyrus maintain the same hierarchical level, except for the final tone, where the cingulate gyrus assumes the top position within the hierarchy. The evoked responses of memorised sequences and variations engage the same hierarchical brain network but systematically differ in terms of temporal dynamics, strength, and polarity. Furthermore, induced-response analysis shows that alpha and beta power is stronger for the variations, while gamma power is enhanced for the memorised sequences. This study expands on the predictive coding theory by providing quantitative evidence of hierarchical brain mechanisms during conscious memory and predictive processing of auditory sequences.
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Affiliation(s)
- L Bonetti
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Denmark.
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom.
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
- Department of Psychology, University of Bologna, Bologna, Italy.
| | - G Fernández-Rubio
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Denmark
| | - F Carlomagno
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Denmark
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - M Dietz
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - D Pantazis
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
| | - P Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Denmark
| | - M L Kringelbach
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Denmark
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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