Creativity Is Enhanced by Long-Term Mindfulness Training and Is Negatively Correlated with Trait Default-Mode-Related Low-Gamma Inter-Hemispheric Connectivity
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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). -
Neuroscientific Perspectives
Neuroscientific Perspectives © Mindful Schools | All Rights Reserved | mindfulschools.org Mindfulness Meditation & the Default Mode Network (DMN) In an important study, Malia Mason of Columbia University wrote,1 What does the mind do in the absence of external demands for thought? Is it essentially blank, springing into action only when some task requires attention? Everyday experience challenges this account of mental life. In the absence of a task that requires deliberative processing, the mind generally tends to wander, flitting from one thought to the next with fluidity and ease. Given the ubiquitous nature of this phenomenon, it has been suggested that mind-wandering constitutes a psychological baseline from which people depart when attention is required elsewhere and to which they return when tasks no longer require conscious supervision. She and her colleagues proceeded to demonstrate that mind wandering is associated with increased activation in the ‘default mode network’ – brain regions including the posterior cingulate and the medial prefrontal cortex. The researchers were able to correlate increased activity in these brain regions with individuals’ reports regarding their own mind wandering. The DMN is a clear target for meditative practice. Mindfulness is often considered an attentional training. Preliminary but intriguing data suggest that mindfulness practice may target the DMN and change its functioning. Judson Brewer and his colleagues did research in 2011 on this subject. They wrote:2 Mind-wandering is not only a common activity present in roughly 50% of our awake life, but is also associated with lower levels of happiness. Moreover, mind- wandering is known to correlate with neural activity in a network of brain areas that support self-referential processing, known as the default mode network (DMN). -
The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: a Review
The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A Review The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Mohan, Akansha, Aaron J. Roberto, Abhishek Mohan, Aileen Lorenzo, Kathryn Jones, Martin J. Carney, Luis Liogier-Weyback, Soonjo Hwang, and Kyle A.B. Lapidus. 2016. “The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A Review.” The Yale Journal of Biology and Medicine 89 (1): 49-57. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:26318604 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA YALE JOURNAL OF BIOLOGY AND MEDICINE 89 (2016), pp.49-57. REviEW The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A Review Akansha Mohan, BA a; Aaron J. Roberto, MD b*; Abhishek Mohan, BS c; Aileen Lorenzo, MD d; Kathryn Jones, MD, PhD b; Martin J. Carney, BS e; Luis Liogier-Weyback, MD f; Soonjo Hwang, MD g; and Kyle A.B. Lapidus, MD, PhD h aBaylor College of Medicine, Houston, Texas; bClinical fellow, Child and Adolescent Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston, MA; cOld Dominion University, Norfolk, VA; dResident physician, Adult Psychiatry, West- chester Medical Center, -
The Default Mode Network and Salience Network in Schizophrenia
The default mode network and salience network in schizophrenia DMN dysconnectivity? Sverre Andreas Sydnes Gustavsen Master of Philosophy in Psychology Cognitive Neuroscience discipline at the Department of Psychology University of Oslo May 2013 The default mode network and salience network in schizophrenia © Sverre Andreas Sydnes Gustavsen 2013 The default mode network and salience network in schizophrenia Sverre Andreas Sydnes Gustavsen http://www.duo.uio.no/ Trykk: Reprosentralen, Universitetet i Oslo Abstract The default mode network (DMN) is a network in the brain associated with activity during the so-called resting state, also called a “task negative” network. This network has been shown to decrease in activity when engaged in a task (i.e. cognitive task), and increases when at rest. Recent studies have found that the DMN in patients with schizophrenia have shown tendency for a failure of deactivation of the DMN when engaging in various tasks in the scanner. We wanted to explore if the DMN in fact has a tendency for failure of deactivation. In addition to this, we wanted to investigate whether the salience network (SN) has a role in regulating the “switching” between the DMN and task positive networks. Here, data from n= 129 controls and n= 89 patients with DSM- IV schizophrenia which had undergone a working memory paradigm, were analysed with independent component analysis and dual regression approach. We compared the two wm conditions in all three components across groups, followed by comparing components between the HC and SZ groups. We found no significant group differences in the wm conditions when comparing components across groups. -
Default Mode Network Abnormalities in Bipolar Disorder and Schizophrenia
Psychiatry Research: Neuroimaging 183 (2010) 59–68 Contents lists available at ScienceDirect Psychiatry Research: Neuroimaging journal homepage: www.elsevier.com/locate/psychresns Default mode network abnormalities in bipolar disorder and schizophrenia Dost Öngüra,⁎, Miriam Lundyb,1, Ian Greenhousec,1, Ann K. Shinna, Vinod Menond, Bruce M. Cohena, Perry F. Renshawe aMcLean Hospital, Belmont, MA and Harvard Medical School, Boston, MA, United States bYale University School of Nursing, New Haven, CT, United States cDepartment of Neuroscience, University of California San Diego, La Jolla, CA, United States dDepartment of Psychiatry and Behavioral Sciences and Program in Neuroscience, Stanford University School of Medicine, Stanford, CA, United States eThe Brain Institute, University of Utah School of Medicine, Salt Lake City, UT, United States article info abstract Article history: The default-mode network (DMN) consists of a set of brain areas preferentially activated during internally Received 15 November 2009 focused tasks. We used functional magnetic resonance imaging (fMRI) to study the DMN in bipolar mania and Received in revised form 6 April 2010 acute schizophrenia. Participants comprised 17 patients with bipolar disorder (BD), 14 patients with Accepted 10 April 2010 schizophrenia (SZ) and 15 normal controls (NC), who underwent 10-min resting fMRI scans. The DMN was extracted using independent component analysis and template-matching; spatial extent and timecourse were Keywords: examined. Both patient groups showed reduced DMN connectivity in the medial prefrontal cortex (mPFC) (BD: Independent component analysis − − − Mania x= 2, y=54, z= 12; SZ: x= 2, y=22, z=18). BD subjects showed abnormal recruitment of parietal Anterior cingulate cortex cortex (correlated with mania severity) while SZ subjects showed greater recruitment of the frontopolar cortex/ Basal ganglia basal ganglia. -
Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography
Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography Sungkean Kim University of Florida Ji Hyun Baek Samsung Medical Center Se-hoon Shim Soon Chun Hyang University Cheonan Hospital Young Joon Kwon Soon Chun Hyang University Cheonan Hospital Hwa Young Lee Soon Chun Hyang University Cheonan Hospital Jae Hyun Yoo Catholic University of Korea Ji Sun Kim ( [email protected] ) Soon Chun Hyang University Cheonan Hospital Research Article Keywords: bipolar disorder, cortical functional network, graph theory, major depressive disorder, resting- state electroencephalography Posted Date: December 10th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-119899/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/23 Abstract Studies comparing bipolar disorder (BD) and major depressive disorder (MDD) are scarce, and the neuropathology of these disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in patients with BD and MDD. EEG was recorded in 35 patients with BD, 39 patients with MDD, and 42 healthy controls (HCs). Graph theory- based source-level weighted functional networks were assessed via strength, clustering coecient (CC), and path length (PL) in six frequency bands. At the global level, patients with BD and MDD showed higher strength and CC, and lower PL in the high beta band, compared to HCs. At the nodal level, compared to HCs, patients with BD showed higher high beta band nodal CCs in the right precuneus, left isthmus cingulate, bilateral paracentral, and left superior frontal, belonging to the default-mode network (DMN); however, patients with MDD showed higher nodal CC only in the right precuneus compared to HCs. -
Large-Scale Brain Networks in Cognition: Emerging Methods and Principles
Review Feature Review Large-scale brain networks in cognition: emerging methods and principles Steven L. Bressler1 and Vinod Menon2 1 Center for Complex Systems and Brain Sciences, Department of Psychology, Florida Atlantic University, Boca Raton, FL, USA 2 Department of Psychiatry and Behavioral Sciences, Department of Neurology and Neurological Sciences, and Program in Neuroscience, Stanford University Medical School, Stanford, CA, USA An understanding of how the human brain produces cognition by revealing how cognitive functions arise from cognition ultimately depends on knowledge of large- interactions within and between distributed brain sys- scale brain organization. Although it has long been tems. It focuses on technological and methodological assumed that cognitive functions are attributable to advances in the study of structural and functional brain the isolated operations of single brain areas, we demon- connectivity that are inspiring new conceptualizations of strate that the weight of evidence has now shifted in large-scale brain networks. Underlying this focus is the support of the view that cognition results from the view that structure–function relations are critical for gain- dynamic interactions of distributed brain areas operat- ing a deeper insight into the neural basis of cognition. We ing in large-scale networks. We review current research thus emphasize the structural and functional architectures on structural and functional brain organization, and of large-scale brain networks (Box 1). For this purpose, we argue that the emerging science of large-scale brain networks provides a coherent framework for under- standing of cognition. Critically, this framework allows Glossary a principled exploration of how cognitive functions Blood-oxygen-level-dependent (BOLD) signal: measure of metabolic activity in emerge from, and are constrained by, core structural the brain based on the difference between oxyhemoglobin and deoxyhemo- globin levels arising from changes in local blood flow. -
Modeling Functional Resting-State Brain Networks Through Neural Message Passing on the Human Connectome
1 Modeling functional resting-state brain networks through neural message passing on the human connectome Julio A. Peraza-Goicoleaa, Eduardo Martínez-Montesb,c*, Eduardo Aubertb, Pedro A. Valdés-Hernándezd, and Roberto Muleta a Group of Complex Systems and Statistical Physics, Department of Theoretical Physics, University of Havana, Havana, Cuba b Neuroinformatics Department, Cuban Neuroscience Center, Havana, Cuba c Advanced Center for Electrical and Electronic Engineering (AC3E), Universidad Técnica Federico Santa María, Valparaíso, Chile d Neuronal Mass Dynamics Laboratory, Department of Biomedical Engineering, Florida International University, Miami, FL, USA *Corresponding author: Calle 190 #15202 entre Ave 25 y 27, Cubanacan, Playa, Habana 11600 Phone: +53 7 263 7252 E-mail: [email protected] (E. Martínez-Montes) 2 Abstract Understanding the relationship between the structure and function of the human brain is one of the most important open questions in Neurosciences. In particular, Resting State Networks (RSN) and more specifically the Default Mode Network (DMN) of the brain, which are defined from the analysis of functional data lack a definitive justification consistent with the anatomical structure of the brain. In this work we show that a possible connection may naturally rest on the idea that information flows in the brain through a neural message-passing dynamics between macroscopic structures, like those defined by the human connectome (HC). In our model, each brain region in the HC is assumed to have a binary behavior (active or not), the strength of interactions among them is encoded in the anatomical connectivity matrix defined by the HC, and the dynamics of the system is defined by a neural message-passing algorithm, Belief Propagation (BP), working near the critical point of the human connectome. -
Preserved Functional Connectivity in the Default Mode and Salience Networks Is Associated
bioRxiv preprint doi: https://doi.org/10.1101/254193; this version posted January 29, 2018. 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. Preserved functional connectivity in the default mode and salience networks is associated with youthful memory in superaging Jiahe Zhanga, Joseph Andreanob,c, Bradford C. Dickersonc,d,e,1 Alexandra Touroutoglouc,d,e,1 & Lisa Feldman Barretta,b,c,1 aDepartment of Psychology, Northeastern University, Boston, MA 02115 bPsychiatric Neuroimaging Division, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129 cAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129 dDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129 eFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129 Author contributions: J.A., B.C.D., A.T., and L.F.B. designed research; J.Z., J.A., B.C.D., A.T., and L.F.B. performed research; J.Z., B.C.D., A.T., and L.F.B. analyzed data; J.Z., B.C.D., A.T., and L.F.B. wrote the paper. The authors declare no conflict of interest. 1B.C.D., A.T. and L.F.B. contributed equally to this work. bioRxiv preprint doi: https://doi.org/10.1101/254193; this version posted January 29, 2018. -
Topographic Connectivity Reveals Task-Dependent Retinotopic
Topographic connectivity reveals task-dependent retinotopic processing throughout the human brain Tomas Knapena,b,1 aSpinoza Centre for Neuroimaging, Royal Netherlands Academy of Sciences, Meibergdreef 75, 1105 BK Amsterdam, The Netherlands; and bCognitive Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved November 19, 2020 (received for review August 11, 2020) The human visual system is organized as a hierarchy of maps lected during retinotopic-mapping, resting-state, and movie- that share the topography of the retina. Known retinotopic watching experiments. This allowed the identification of previ- maps have been identified using simple visual stimuli under ously unknown visual–spatial processing throughout the brain, strict fixation, conditions different from everyday vision which and the quantification of how visual space is represented—even is active, dynamic, and complex. This means that it remains in brain regions not traditionally considered visual. Moreover, unknown how much of the brain is truly visually organized. Here these analyses reveal how visual representations depend on I demonstrate widespread stable visual organization beyond the cognitive state. traditional visual system, in default-mode network and hippocam- pus. Detailed topographic connectivity with primary visual cortex Results during movie-watching, resting-state, and retinotopic-mapping A parsimonious computational model for RC posits that experiments revealed that visual–spatial representations through- responses arise from a localized Gaussian patch on the sur- out the brain are warped by cognitive state. Specifically, tradition- face of V1 (Fig. 1B), its connective field (CF) (5). -
Default Mode Network Subsystems Are Differentially Disrupted in Posttraumatic Stress Disorder
Biological Psychiatry: Archival Report CNNI Default Mode Network Subsystems Are Differentially Disrupted in Posttraumatic Stress Disorder Danielle R. Miller, Scott M. Hayes, Jasmeet P. Hayes, Jeffrey M. Spielberg, Ginette Lafleche, and Mieke Verfaellie ABSTRACT BACKGROUND: Posttraumatic stress disorder (PTSD) is a psychiatric disorder characterized by debilitating re- experiencing, avoidance, and hyperarousal symptoms following trauma exposure. Recent evidence suggests that individuals with PTSD show disrupted functional connectivity in the default mode network, an intrinsic network that consists of a midline core, a medial temporal lobe (MTL) subsystem, and a dorsomedial prefrontal cortex (PFC) subsystem. The present study examined whether functional connectivity in these subsystems is differentially disrupted in PTSD. METHODS: Sixty-nine returning war veterans with PTSD and 44 trauma-exposed veterans without PTSD underwent resting-state functional magnetic resonance imaging. To examine functional connectivity, seeds were placed in the core hubs of the default mode network, namely the posterior cingulate cortex (PCC) and anterior medial PFC, and in each subsystem. RESULTS: Compared to control subjects, individuals with PTSD had reduced functional connectivity between the PCC and the hippocampus, a region of the MTL subsystem. Groups did not differ in connectivity between the PCC and dorsomedial PFC subsystem or between the anterior medial PFC and any region within either subsystem. In the PTSD group, connectivity between the PCC and hippocampus was negatively associated with avoidance/numbing symptoms. Examination of the MTL and dorsomedial PFC subsystems revealed reduced anticorrelation between the ventromedial PFC seed of the MTL subsystem and the dorsal anterior cingulate cortex in the PTSD group. CONCLUSIONS: Our results suggest that selective alterations in functional connectivity in the MTL subsystem of the default mode network in PTSD may be an important factor in PTSD pathology and symptomatology. -
Considering the Impact of Large-Scale Network Interactions on Cognitive Control
The Journal of Neuroscience, January 7, 2015 • 35(1):1–3 • 1 Journal Club Editor’s Note: These short, critical reviews of recent papers in the Journal, written exclusively by graduate students or postdoctoral fellows, are intended to summarize the important findings of the paper and provide additional insight and commentary. For more information on the format and purpose of the Journal Club, please see http://www.jneurosci.org/misc/ifa_features.shtml. Considering the Impact of Large-Scale Network Interactions on Cognitive Control X Fiona Kumfor,1,2,3 Nadene Dermody,1,4 and Muireann Irish1,2,4 1Neuroscience Research Australia, and 2ARC Centre of Excellence in Cognition and its Disorders, 3School of Medical Sciences, and 4School of Psychology, University of New South Wales, Sydney, NSW 2031, Australia Review of Jilka et al. In everyday life, we often face situations is recruited in response to attention- provide important insights into the con- in which we must compete with an grabbing changes in the environment, and tribution of large-scale network dys- overriding/pre-potent response to inhibit it is anchored by the dorsal anterior cin- function on cognition and behavior. To our behavior and act in line with situa- gulate cortex and orbital frontoinsular this end, a recent study by Jilka et al. tional demands. For example, on most cortices, with robust connections with (2014) used behavioral and neuroimag- days, the drive home from work is a rela- subcortical and limbic structures (Zhou et ing methods to determine how cognitive tively automatic behavior that can be un- al., 2010). Conversely, the DMN is acti- control, and the underlying neural net- dertaken with limited conscious effort.