Functional Diversity of Brain Networks Supports Consciousness and Verbal
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Mind‐Wandering While Reading: Attentional Decoupling, Mindless Reading and the Cascade Model of Inattention
This is a repository copy of Distinct individual differences in default mode network connectivity relate to off-task thought and text memory during reading. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/152606/ Version: Accepted Version Article: Zhang, Meichao, Savill, Nicola, Margulies, Daniel S et al. (2 more authors) (Accepted: 2019) Distinct individual differences in default mode network connectivity relate to off-task thought and text memory during reading. Scientific Reports. ISSN 2045-2322 (In Press) Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial (CC BY-NC) licence. This licence allows you to remix, tweak, and build upon this work non-commercially, and any new works must also acknowledge the authors and be non-commercial. You don’t have to license any derivative works on the same terms. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Distinct individual differences in default mode network connectivity relate to off-task thought and text memory during reading Meichao Zhang 1*, Nicola Savill 2, Daniel S. Margulies 3, Jonathan Smallwood 1, Elizabeth Jefferies 1 1 Department of Psychology, University of York, Heslington, York, UK, YO10 5DD 2 School of Psychological and Social Sciences, York St John University, York, UK, YO31 7EX 3 Frontlab, CNRS UMR 7225, Institut du cerveau et de la moelle épinière (ICM), 75013, Paris, France. -
Development of Brain Functional Connectivity and Its Relation to Infant Sustained Attention in the Irsf T Year of Life Wanze Xie University of South Carolina
University of South Carolina Scholar Commons Theses and Dissertations 2017 Development of Brain Functional Connectivity and Its Relation To Infant Sustained Attention In The irsF t Year Of Life Wanze Xie University of South Carolina Follow this and additional works at: https://scholarcommons.sc.edu/etd Part of the Experimental Analysis of Behavior Commons Recommended Citation Xie, W.(2017). Development of Brain Functional Connectivity and Its Relation To Infant Sustained Attention In The First Year Of Life. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/4374 This Open Access Dissertation is brought to you by Scholar Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. DEVELOPMENT OF BRAIN FUNCTIONAL CONNECTIVITY AND ITS RELATION TO INFANT SUSTAINED ATTENTION IN THE FIRST YEAR OF LIFE by Wanze Xie Bachelor of Science East Tennessee State University, 2012 Submitted in Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy in Experimental Psychology College of Arts and Sciences University of South Carolina 2017 Accepted by: John E. Richards, Major Professor Jessica Green, Committee Member Jeff Schatz, Committee Member Troy Herter, Committee Member Cheryl L. Addy, Vice Provost and Dean of the Graduate School © Copyright by Wanze Xie, 2017 All Rights Reserved. ii DEDICATION This dissertation is dedicated to my family, Xiuping Lyu, Kecheng Xu, and Penny Song for their support in the past five years. The support from my parents, especially the support and soul massage from my mother, Xiuping Lyu, prevents me from quitting the program. -
The Surprising Role of the Default Mode Network T
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.18.101758; this version posted May 20, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. The Surprising Role of the Default Mode Network T. Brandman1*, R. Malach1, E. Simony1,2. 1Department of Neurobiology and the Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science. 2Faculty of Engineering, Holon Institute of Technology. *Correspondence to: [email protected] Abstract: The default mode network (DMN) is a group of high-order brain regions recently implicated in processing external naturalistic events, yet it remains unclear what cognitive function it serves. Here we identified the cognitive states predictive of DMN fMRI coactivation. Particularly, we developed a state-fluctuation pattern analysis, matching network coactivations across a short movie with retrospective behavioral sampling of movie events. Network coactivation was selectively correlated with the state of surprise across movie events, compared to all other cognitive states (e.g. emotion, vividness). The effect was exhibited in the DMN, but not dorsal attention or visual networks. Furthermore, surprise was found to mediate DMN coactivations with hippocampus and nucleus accumbens. These unexpected findings point to the DMN as a major hub in high-level prediction-error representations. The default mode network (DMN) is a group of high-order brain regions, so-called for its decreased activation during tasks of high attentional demand, relative to the high baseline activation of the DMN at rest (1-3). -
Glutamate Connectivity Associations Converge Upon the Salience Network in Schizophrenia and Healthy Controls Robert A
McCutcheon et al. Translational Psychiatry (2021) 11:322 https://doi.org/10.1038/s41398-021-01455-y Translational Psychiatry ARTICLE Open Access Glutamate connectivity associations converge upon the salience network in schizophrenia and healthy controls Robert A. McCutcheon 1,2,3,4, Toby Pillinger 1,2,3,4, Maria Rogdaki 1,2,3,4, Juan Bustillo5,6 and Oliver D. Howes1,2,3,4 Abstract Alterations in cortical inter-areal functional connectivity, and aberrant glutamatergic signalling are implicated in the pathophysiology of schizophrenia but the relationship between the two is unclear. We used multimodal imaging to identify areas of convergence between the two systems. Two separate cohorts were examined, comprising 195 participants in total. All participants received resting state functional MRI to characterise functional brain networks and proton magnetic resonance spectroscopy (1H-MRS) to measure glutamate concentrations in the frontal cortex. Study A investigated the relationship between frontal cortex glutamate concentrations and network connectivity in individuals with schizophrenia and healthy controls. Study B also used 1H-MRS, and scanned individuals with schizophrenia and healthy controls before and after a challenge with the glutamatergic modulator riluzole, to investigate the relationship between changes in glutamate concentrations and changes in network connectivity. In both studies the network based statistic was used to probe associations between glutamate and connectivity, and glutamate associated networks were then characterised in terms of their overlap with canonical functional networks. Study A involved 76 individuals with schizophrenia and 82 controls, and identified a functional network negatively associated with glutamate concentrations that was concentrated within the salience network (p < 0.05) and did not 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; differ significantly between patients and controls (p > 0.85). -
Resting-State Fmri Reveals Network Disintegration During Delirium T ⁎ Simone J.T
NeuroImage: Clinical 20 (2018) 35–41 Contents lists available at ScienceDirect NeuroImage: Clinical journal homepage: www.elsevier.com/locate/ynicl Resting-state fMRI reveals network disintegration during delirium T ⁎ Simone J.T. van Montforta, , Edwin van Dellenb,c, Aletta M.R. van den Boscha,d, Willem M. Ottee,f, Maya J.L. Schutteb, Soo-Hee Choig, Tae-Sub Chungh, Sunghyon Kyeongi, Arjen J.C. Slootera, ⁎⁎ Jae-Jin Kimi, a Department of Intensive Care Medicine, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, The Netherlands b Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, the Netherlands c Melbourne Neuropsychiatry Center, Department of Psychiatry, University of Melbourne, Australia d Faculty of Science, University of Amsterdam, the Netherlands e Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, the Netherlands f Department of Pediatric Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, the Netherlands g Department of Psychiatry, Institute of Human Behavioral Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea h Department of Radiology, Yonsei University Gangnam Severance Hospital, Seoul, Republic of Korea i Department of Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. ARTICLE INFO ABSTRACT Keywords: Delirium is characterized by inattention and other cognitive deficits, symptoms that have been associated with Delirium disturbed interactions between remote brain regions. Recent EEG studies confirm that disturbed global network fMRI topology may underlie the syndrome, but lack an anatomical basis. The aim of this study was to increase our Resting-state understanding of the global organization of functional connectivity during delirium and to localize possible Brain networks alterations. -
Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes
JCN Open Access ORIGINAL ARTICLE pISSN 1738-6586 / eISSN 2005-5013 / J Clin Neurol 2019;15(2):211-220 / https://doi.org/10.3988/jcn.2019.15.2.211 Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes Hyun-Soo Choia* Background and Purpose We aimed to reveal resting-state functional connectivity char- Yoon Gi Chungb* c acteristics based on the spike-free waking electroencephalogram (EEG) of benign epilepsy Sun Ah Choi with centrotemporal spikes (BECTS) patients, which usually appears normal in routine visual d Soyeon Ahn inspection. c Hunmin Kim Methods Thirty BECTS patients and 30 disease-free and age- and sex-matched controls Sungroh Yoona were included. Eight-second EEG epochs without artifacts were sampled and then bandpass Hee Hwangc filtered into the delta, theta, lower alpha, upper alpha, and beta bands to construct the associa- Ki Joong Kime,f tion matrix. The weighted phase lag index (wPLI) was used as an association measure for EEG signals. The band-specific connectivity, which was represented as a matrix of wPLI values of a Department of Electrical and all edges, was compared for analyzing the connectivity itself. The global wPLI, characteristic Computer Engineering, path length (CPL), and mean clustering coefficient were compared. Seoul National University, Seoul, Korea Results The resting-state functional connectivity itself and the network topology differed in bHealthcare ICT Research Center, the BECTS patients. For the lower-alpha-band and beta-band connectivity, edges that showed Seoul National University significant differences had consistently lower wPLI values compared to the disease-free con- Bundang Hospital, Seongnam, Korea c trols. -
Re-Establishing Brain Networks in Patients with ESRD After Successful Kidney Transplantation
Article Re-Establishing Brain Networks in Patients with ESRD after Successful Kidney Transplantation Hui Juan Chen,1,2 Jiqiu Wen,3 Rongfeng Qi,1 Jianhui Zhong,4 U. Joseph Schoepf,1,5 Akos Varga-Szemes,5 Virginia W. Lesslie,5 Xiang Kong,1 Yun Fei Wang,1 Qiang Xu,1 Zhe Zhang,3 Xue Li,3 Guang Ming Lu,1 and Long Jiang Zhang1 Abstract Background and objectives Cognition in ESRD may be improved by kidney transplantation, but mechanisms are 1Department of unclear. We explored patterns of resting-state networks with resting-state functional magnetic resonance imaging Medical Imaging and among patients with ESRD before and after kidney transplantation. 3National Clinical Research Center of Design, setting, participants, & measurements Thirty-seven patients with ESRD scheduled for kidney trans- Kidney Disease, plantation and 22 age-, sex-, and education-matched healthy subjects underwent resting-state functional magnetic Jinling Hospital, Medical School of resonance imaging. Patients were imaged before and 1 and 6 months after kidney transplantation. Functional Nanjing University, connectivity of seven resting-state subnetworks was evaluated: default mode network, dorsal attention network, Nanjing, Jiangsu, central executive network, self-referential network, sensorimotor network, visual network, and auditory network. China; 2Department of Mixed effects models tested associations of ESRD, kidney transplantation, and neuropsychological measurements Radiology, Hainan General Hospital, with functional connectivity. Haikou, China; 4Department of Results Compared with controls, pretransplant patients showed abnormal functional connectivity in six Biomedical subnetworks. Compared with pretransplant patients, increased functional connectivity was observed in the Engineering and State default mode network, the dorsal attention network, the central executive network, the sensorimotor network, the Key Laboratory for Diagnosis and auditory network, and the visual network 1 and 6 months after kidney transplantation (P=0.01). -
Functional Evidence for a Cerebellar Node of the Dorsal Attention Network
The Journal of Neuroscience, June 1, 2016 • 36(22):6083–6096 • 6083 Behavioral/Cognitive Functional Evidence for a Cerebellar Node of the Dorsal Attention Network James A. Brissenden,1* Emily J. Levin,1* David E. Osher,1 XMark A. Halko,2 and XDavid C. Somers1 1Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts 02215, and 2Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215 The “dorsal attention network” or “frontoparietal network” refers to a network of cortical regions that support sustained attention and working memory. Recent work has demonstrated that cortical nodes of the dorsal attention network possess intrinsic functional con- nectionswitharegioninventralcerebellum,inthevicinityoflobulesVII/VIII.Here,weperformedaseriesoftask-basedandresting-state fMRI experiments to investigate cerebellar participation in the dorsal attention network in humans. We observed that visual working memory and visual attention tasks robustly recruit cerebellar lobules VIIb and VIIIa, in addition to canonical cortical dorsal attention network regions. Across the cerebellum, resting-state functional connectivity with the cortical dorsal attention network strongly pre- dicted the level of activation produced by attention and working memory tasks. Critically, cerebellar voxels that were most strongly connected with the dorsal attention network selectively exhibited load-dependent activity, a hallmark of the neural structures that support visual working memory. Finally, we examined intrinsic functional connectivity between task-responsive portions of cerebellar lobules VIIb/VIIIa and cortex. Cerebellum-to-cortex functional connectivity strongly predicted the pattern of cortical activation during task performance. Moreover, resting-state connectivity patterns revealed that cerebellar lobules VIIb/VIIIa group with cortical nodes of the dorsal attention network. -
Two Dominant Brain States Reflect Optimal and Suboptimal Attention 2 Ayu Mu Yama Shita 1,2*, David Rothlein1,2, Aaron Kucyi3, Eve M
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.31.928523; this version posted January 31, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. -1- 1 Two dominant brain states reflect optimal and suboptimal attention 2 Ayu mu Yama shita 1,2*, David Rothlein1,2, Aaron Kucyi3, Eve M. Valera4, and Michael Esterman1,2,5 3 4 1 Department of Psychiatry, Boston University School of Medicine, Massachusetts, United States. 5 2 Boston Attention and Learning Laboratory, VA Boston Healthcare System, Massachusetts, United 6 States. 7 3 Department of Psychology, Northeastern University, Massachusetts, United States. 8 4 Department of Psychiatry, Harvard Medical School, Massachusetts, United States. 9 5 National Center for PTSD, VA Boston Healthcare System, Massachusetts, United States. 10 * Corresponding author 11 12 Abstract 13 Attention is not constant but fluctuates from moment to moment. Previous studies 14 dichotomized these fluctuations into optimal and suboptimal states based on behavioral 15 performance and investigated the difference in brain activity between these states. Although 16 these studies implicitly assume there are two states, this assumption is not guaranteed. Here, 17 we reversed the logic of these previous studies and identified unique states of brain activity 18 during a sustained attention task. We demonstrate a systematic relationship between dynamic 19 brain activity patterns (brain states) and behavioral underpinnings of sustained attention by 20 explaining behavior from two dominantly observed brain states. -
Time-Resolved Resting-State Brain Networks
Time-resolved resting-state brain networks Andrew Zaleskya,b,1, Alex Fornitoa,c, Luca Cocchid, Leonardo L. Golloe, and Michael Breakspeare,f,g aMelbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC 3010, Australia; bMelbourne School of Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia; cMonash Clinical and Imaging Neuroscience, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC 3168, Australia; dQueensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia; and eQIMR Berghofer Medical Research Institute, fThe Royal Brisbane and Women’s Hospital, and gMetro North Mental Health, Brisbane, QLD 4029, Australia Edited by Michael S. Gazzaniga, University of California, Santa Barbara, CA, and approved May 19, 2014 (received for review January 13, 2014) Neuronal dynamics display a complex spatiotemporal structure consistently revealed fluctuations in resting-state functional con- involving the precise, context-dependent coordination of acti- nectivity at timescales ranging from tens of seconds to a few vation patterns across a large number of spatially distributed minutes (19–24). Furthermore, the modular organization of func- regions. Functional magnetic resonance imaging (fMRI) has played tional brain networks appears to be time-dependent in the resting a central role in demonstrating the nontrivial spatial and topolog- state (25, 26) and modulated by learning (27) and cognitive effort ical structure of these interactions, but thus far has been limited in (28, 29). It is therefore apparent that reducing fluctuations in its capacity to study their temporal evolution. Here, using high- functional connectivity to time averages has led to a very useful but ’ resolution resting-state fMRI data obtained from the Human static and possibly oversimplified characterization of the brain s Connectome Project, we mapped time-resolved functional connec- functional networks. -
Psychedelic Resting-State Neuroimaging: a Review and Perspective on Balancing Replication and Novel Analyses
Psychedelic resting-state neuroimaging: a review and perspective on balancing replication and novel analyses Drummond E-Wen McCulloch1, Gitte Moos Knudsen1,2, Frederick Streeter Barrett3, Manoj Doss3, Robin Lester Carhart-Harris4,5, Fernando E. Rosas5,6,7, Gustavo Deco8,9,10,11,12, Katrin H. Preller13, Johannes G. Ramaekers14, Natasha L. Mason14, Felix Müller15, Patrick MacDonald Fisher1 1Neurobiology Research Unit, Rigshospitalet, 2100 Copenhagen, Denmark 2Institute of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark 3Department of Psychiatry and Behavioral Sciences, Center for Psychedelic and Consciousness Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 4Neuroscape, Weill Institute for Neurosciences, University of California San Francisco, USA 5Centre for Psychedelic Research, Department of Brain Sciences, Imperial College London, London SW7 2DD, UK 6Data Science Institute, Imperial College London, London SW7 2AZ, UK 7Centre for Complexity Science, Imperial College London, London SW7 2AZ, UK 8Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain, 9Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain, 10Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain, 11Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 12School of Psychological Sciences, Monash University, Melbourne, Australia 13Pharmaco-Neuroimaging -
Functional Network Dysfunction in Anxiety and Anxiety Disorders
Opinion Functional network dysfunction in anxiety and anxiety disorders 1 2,3,4 2,3,4 5 C.M. Sylvester , M. Corbetta , M.E. Raichle , T.L. Rodebaugh , 2,3,4,6 1,2,4 1,3 1 B.L. Schlaggar , Y.I. Sheline , C.F. Zorumski and E.J. Lenze 1 Department of Psychiatry, Washington University, Saint Louis, MO, USA 2 Department of Neurology, Washington University, Saint Louis, MO, USA 3 Department of Anatomy and Neurobiology, Washington University, Saint Louis, MO, USA 4 Department of Radiology, Washington University, Saint Louis, MO, USA 5 Department of Psychology, Washington University, Saint Louis, MO, USA 6 Department of Pediatrics, Washington University, Saint Louis, MO, USA A recent paradigm shift in systems neuroscience is the The organization of brain regions into functional net- division of the human brain into functional networks. works may revolutionize our understanding of psychiatric Functional networks are collections of brain regions with disorders from current symptom-focused classification to strongly correlated activity both at rest and during cog- network-based schemes. Functional networks can be nitive tasks, and each network is believed to implement viewed as dimensions in which the operation of each a different aspect of cognition. We propose here that network ranges from underactive to normal to overactive. anxiety disorders and high trait anxiety are associated Different blends of disturbances along these dimensions with a particular pattern of functional network dysfunc- could result in different psychiatric disorders, with the tion: increased functioning of the cingulo-opercular and phenomenology of the disorder reflecting changes in the ventral attention networks as well as decreased func- cognitive functions performed by the aberrant networks.