Precuneus Is a Functional Core of the Default-Mode Network
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Accelerated Aging of Functional Brain Networks Supporting Cognitive Function in Psychotic Disorders
Biological Psychiatry: Celebrating 50 Years Archival Report Accelerated Aging of Functional Brain Networks Supporting Cognitive Function in Psychotic Disorders Julia M. Sheffield, Baxter P. Rogers, Jennifer U. Blackford, Stephan Heckers, and Neil D. Woodward ABSTRACT BACKGROUND: Across networks, connectivity within the frontoparietal network (FPN) and cingulo-opercular network (CON) exhibits reductions earliest during healthy aging, contributing to cognitive impairment. Individuals with psychotic disorders demonstrate evidence of accelerated aging across multiple biological systems. By leveraging a large sample of patients with psychosis from early to chronic illness stages, this study sought to determine whether the CON and FPN exhibit evidence of accelerated aging in psychotic disorders, confirm associations between network efficiency and cognition, and determine whether reduced network efficiency is observed in early-stage psychosis. METHODS: Resting-state functional magnetic resonance imaging and cognitive data were obtained on 240 patients with psychotic disorder and 178 healthy control participants (HCs). Global efficiency, a measure of functional inte- gration, was calculated for the CON, FPN, subcortical network, and visual network. Associations with age and cognition were assessed and compared between groups. RESULTS: Consistent with accelerated aging, significant group by age interactions reflected significantly stronger relationships between efficiency and age in patients with psychosis than in HCs for both the CON (psychosis: r = 2.37; HC: r = 2.16) and FPN (psychosis: r = 2.31; HC: r = 2.05). Accelerated aging was not observed in either the subcortical or visual network, suggesting specificity for cognitive networks that decline earliest in healthy aging. Replicating prior findings, efficiency of both the CON and FPN correlated with cognitive function across all partici- pants (rs . -
Thinking About Actions: the Neural Substrates of Person Knowledge
Person Knowledge 1 Running Head: Person Knowledge Thinking About Actions: The Neural Substrates of Person Knowledge Malia F. Mason, Jane F. Banfield, and C. Neil Macrae Dartmouth College Address Correspondence To: Malia Mason Columbia Business School 720 Uris Hall New York, NY 10027 Email: [email protected] Phone: 212.854.1070 Person Knowledge 2 Abstract Despite an extensive literature on the neural substrates of semantic knowledge, how person-related information is represented in the brain has yet to be elucidated. Accordingly, in the present study we used functional magnetic resonance imaging (fMRI) to investigate the neural correlates of person knowledge. Focusing on the neural substrates of action knowledge, participants reported whether or not a common set of behaviors could be performed by people or dogs. While dogs and people are capable of performing many of the same actions (e.g., run, sit, bite), we surmised that the representation of this knowledge would be associated with distinct patterns of neural activity. Specifically, person judgments were expected to activate cortical areas associated with theory of mind (ToM) reasoning. The results supported this prediction. Whereas action-related judgments about dogs were associated with activity in various regions, including the occipital and parahippocampal gyri; identical judgments about people yielded activity in areas of prefrontal cortex, notably the right middle and medial frontal gyri. These findings suggest that person knowledge may be functionally dissociable from comparable information about other animals, with action-related judgments about people recruiting neural activity that is indicative of ToM reasoning. Key Words: Action Knowledge; fMRI; Social Cognition; Theory of Mind; Mentalizing. -
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). -
Interference Resolution: Insights from a Meta-Analysis of Neuroimaging Tasks
Cognitive, Affective, & Behavioral Neuroscience 2007, 7 (1), 1-17 Interference resolution: Insights from a meta-analysis of neuroimaging tasks DEREK EVA N NEE University of Michigan, Ann Arbor, Michigan TOR D. WAGER Columbia University, New York, New York AND JOHN JONIDES University of Michigan, Ann Arbor, Michigan A quantitative meta-analysis was performed on 47 neuroimaging studies involving tasks purported to require the resolution of interference. The tasks included the Stroop, flanker, go/no-go, stimulus–response compatibil- ity, Simon, and stop signal tasks. Peak density-based analyses of these combined tasks reveal that the anterior cingulate cortex, dorsolateral prefrontal cortex, inferior frontal gyrus, posterior parietal cortex, and anterior insula may be important sites for the detection and/or resolution of interference. Individual task analyses reveal differential patterns of activation among the tasks. We propose that the drawing of distinctions among the pro- cessing stages at which interference may be resolved may explain regional activation differences. Our analyses suggest that resolution processes acting upon stimulus encoding, response selection, and response execution may recruit different neural regions. The need to select information among competing al- shows the activations arising just from the Stroop task ternatives is ubiquitous. Oftentimes, successful cognition (Stroop, 1935), and these do not appear any more orderly. depends on the ability to focus resources on goal-relevant Indeed, the variability among the reported peaks across information while filtering out or inhibiting irrelevant infor- all interference resolution tasks corroborates behavioral mation. How selective attention operates and whether and findings that correlations in performance among different how irrelevant information is inhibited or otherwise filtered interference resolution tasks are low (Kramer, Humphrey, out has been a major focus of research since the inception Larish, Logan, & Strayer, 1994; Shilling, Chetwynd, & of experimental psychology. -
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). -
Childhood Trauma History Is Linked to Abnormal Brain Connectivity in Major Depression
Childhood trauma history is linked to abnormal brain connectivity in major depression Meichen Yua,b, Kristin A. Linna,c, Russell T. Shinoharaa,c, Desmond J. Oathesa,b, Philip A. Cooka,d, Romain Duprata,b, Tyler M. Mooree, Maria A. Oquendob, Mary L. Phillipsf, Melvin McInnisg, Maurizio Favah, Madhukar H. Trivedii, Patrick McGrathj, Ramin Parseyk, Myrna M. Weissmanj, and Yvette I. Shelinea,b,d,l,1 aCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; bDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; cDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; dDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; eBrain and Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; fDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260; gDepartment of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109; hDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA 02114; iCenter for Depression Research and Clinical Care, Peter O'Donnell Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390; jDepartment of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032; -
Lucid Dreaming and the Prefrontal Cortex Performance III
Lucid Dreaming and the Prefrontal Cortex Performance III Georgia Minkoff and Grace Boyar Briarcliff High School Georgia Minkoff and Grace Boyar Briarcliff High School 2 First, we would like to thank our mentor, Dr. Peter Morgan, and Sarah Hodges from the Yale Medical Research Center for their immense support and guidance throughout our project. We would also like to extend a thank you to our teachers Michael Inglis and Annmarie O’Brien, for supervising us throughout our three years in Science Research and making them such an enlightening experience. Finally, we would like to thank all of the students that participated in our study, whose time and effort was greatly appreciated. Abstract Title: Lucid Dreaming and the Prefrontal Cortex III Name and address: Georgia Minkoff and Grace Boyar School/city/state: Briarcliff High School, Briarcliff Manor, NY 10510 Teacher: Mr. Michael Inglis and Ms. Annmarie O’Brien Mentor: Dr. Peter T. Morgan Scientific discipline: Neurological Science Objectives The purpose of this study is to prove that ventromedial but not the dorsolateral prefrontal cortical functions will prove one’s ability to lucid dream. The precuneus is also tested to distinguish lucid from non-lucid dreamers. Each part of the brain listed above is correlated to cognitive behaviors (i.e.; decision making, risk taking, reaction time, and memory). These functions are observed throughout the study to test their degree of enhancement. Methods Each participant endured a week of intense lucid dreaming induction treatment. They were administered questionnaires, assessments, cognitive computer tasks, and a dream journal. While the questionnaires were only completed once, computer tasks were done at the beginning and end of the study to compare the development of the behaviors tested. -
Neural Correlates Underlying Change in State Self-Esteem Hiroaki Kawamichi 1,2,3, Sho K
www.nature.com/scientificreports OPEN Neural correlates underlying change in state self-esteem Hiroaki Kawamichi 1,2,3, Sho K. Sugawara2,4,5, Yuki H. Hamano2,5,6, Ryo Kitada 2,7, Eri Nakagawa2, Takanori Kochiyama8 & Norihiro Sadato 2,5 Received: 21 July 2017 State self-esteem, the momentary feeling of self-worth, functions as a sociometer involved in Accepted: 11 January 2018 maintenance of interpersonal relations. How others’ appraisal is subjectively interpreted to change Published: xx xx xxxx state self-esteem is unknown, and the neural underpinnings of this process remain to be elucidated. We hypothesized that changes in state self-esteem are represented by the mentalizing network, which is modulated by interactions with regions involved in the subjective interpretation of others’ appraisal. To test this hypothesis, we conducted task-based and resting-state fMRI. Participants were repeatedly presented with their reputations, and then rated their pleasantness and reported their state self- esteem. To evaluate the individual sensitivity of the change in state self-esteem based on pleasantness (i.e., the subjective interpretation of reputation), we calculated evaluation sensitivity as the rate of change in state self-esteem per unit pleasantness. Evaluation sensitivity varied across participants, and was positively correlated with precuneus activity evoked by reputation rating. Resting-state fMRI revealed that evaluation sensitivity was positively correlated with functional connectivity of the precuneus with areas activated by negative reputation, but negatively correlated with areas activated by positive reputation. Thus, the precuneus, as the part of the mentalizing system, serves as a gateway for translating the subjective interpretation of reputation into state self-esteem. -
Resting-State Functional Connectivity and Scholastic Performance in Preadolescent Children: a Data-Driven Multivoxel Pattern Analysis (MVPA)
Journal of Clinical Medicine Article Resting-State Functional Connectivity and Scholastic Performance in Preadolescent Children: A Data-Driven Multivoxel Pattern Analysis (MVPA) Daniel R. Westfall 1 , Sheeba A. Anteraper 1,2,3, Laura Chaddock-Heyman 4, Eric S. Drollette 5, Lauren B. Raine 1 , Susan Whitfield-Gabrieli 1,2, Arthur F. Kramer 1,4 and Charles H. Hillman 1,6,* 1 Department of Psychology, Northeastern University, Boston, MA 02115, USA; [email protected] (D.R.W.); [email protected] (S.A.A.); [email protected] (L.B.R.); s.whitfi[email protected] (S.W.-G.); [email protected] (A.F.K.) 2 Northeastern University Biomedical Imaging Center, Northeastern University, Boston, MA 02115, USA 3 Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA 4 Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; [email protected] 5 Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC 27402, USA; [email protected] 6 Department of Physical Therapy, Movement & Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA * Correspondence: [email protected] Received: 17 August 2020; Accepted: 30 September 2020; Published: 2 October 2020 Abstract: Scholastic performance is the key metric by which schools measure student’s academic success, and it is important to understand the neural-correlates associated with greater scholastic performance. This study examines resting-state functional connectivity (RsFc) associated with scholastic performance (reading and mathematics) in preadolescent children (7–9 years) using an unbiased whole-brain connectome-wide multi-voxel pattern analysis (MVPA). -
Functional Brain Connectivity at Rest Changes After Working Memory Training
r Human Brain Mapping 00:000–000 (2011) r Functional Brain Connectivity at Rest Changes After Working Memory Training Dietsje D. Jolles,1,2,3* Mark A. van Buchem,1,3 Eveline A. Crone,1,2 and Serge A.R.B. Rombouts1,2,3 1Leiden Institute for Brain and Cognition (LIBC), Leiden University, P.O. Box 9600, 2300 RC Leiden, The Netherlands 2Institute of Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands 3Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands r r Abstract: Networks of functional connectivity are highly consistent across participants, suggesting that functional connectivity is for a large part predetermined. However, several studies have shown that functional connectivity may change depending on instructions or previous experience. In the present study, we investigated whether 6 weeks of practice with a working memory task changes functional connectivity during a resting period preceding the task. We focused on two task-relevant networks, the frontoparietal network and the default network, using seed regions in the right middle frontal gyrus (MFG) and the medial prefrontal cortex (PFC), respectively. After practice, young adults showed increased functional connectivity between the right MFG and other regions of the frontoparietal net- work, including bilateral superior frontal gyrus, paracingulate gyrus, and anterior cingulate cortex. In addition, they showed reduced functional connectivity between the medial PFC and right posterior middle temporal gyrus. Moreover, a regression with performance changes revealed a positive relation between performance increases and changes of frontoparietal connectivity, and a negative relation between performance increases and changes of default network connectivity. -
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, -
Functional Connectome Fingerprinting: Identifying Individuals Using Patterns of Brain Connectivity
ART ic LE S Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity Emily S Finn1,7, Xilin Shen2,7, Dustin Scheinost2, Monica D Rosenberg3, Jessica Huang2, Marvin M Chun1,3,4, Xenophon Papademetris2,5 & R Todd Constable1,2,6 Functional magnetic resonance imaging (fMRI) studies typically collapse data from many subjects, but brain functional organization varies between individuals. Here we establish that this individual variability is both robust and reliable, using data from the Human Connectome Project to demonstrate that functional connectivity profiles act as a ‘fingerprint’ that can accurately identify subjects from a large group. Identification was successful across scan sessions and even between task and rest conditions, indicating that an individual’s connectivity profile is intrinsic, and can be used to distinguish that individual regardless of how the brain is engaged during imaging. Characteristic connectivity patterns were distributed throughout the brain, but the frontoparietal network emerged as most distinctive. Furthermore, we show that connectivity profiles predict levels of fluid intelligence: the same networks that were most discriminating of individuals were also most predictive of cognitive behavior. Results indicate the potential to draw inferences about single subjects on the basis of functional connectivity fMRI. All individuals are unique. Nevertheless, human neuroimaging stud- We show that identification is successful between rest sessions, task ies have traditionally