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Default mode network: all studies

Page 48 of 155: studies 471 to 480 of 1,549, newest first. Back to the default mode network overview

Research

Identification of the Default Mode Network with electroencephalography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2015 Tatiana Fomina, Matthias Hohmann, Bernhard Schölkopf et al.

The Default Mode Network (DMN) is a brain resting-state network that is closely linked to consciousness and neuropsychiatric disorders. The DMN is routinely identified with functional magnetic resonance imaging (fMRI) or positron emission tomography (PET). However, both of these methods impose restrictions on the groups of patients that can be examined. We show that the DMN can also be...

Default mode network connectivity as a function of familial and environmental risk for psychotic disorder.

PLoS One 2015 Sanne C. T. Peeters, Vincent G Van de Ven, Ed H B M Gronenschild et al.

Research suggests that altered interregional connectivity in specific networks, such as the default mode network (DMN), is associated with cognitive and psychotic symptoms in schizophrenia. In addition, frontal and limbic connectivity alterations have been associated with trauma, drug use and urban upbringing, though these environmental exposures have never been examined in relation to DMN...

The default mode network as a biomarker for monitoring the therapeutic effects of meditation.

Frontiers in Psychology 2015 Rozalyn Simon, Maria Engström

The default mode network (DMN) is a group of anatomically separate regions in the brain found to have synchronized patterns of activation in functional magnetic resonance imaging (fMRI). Mentation associated with the DMN includes processes such as mind wandering, autobiographical memory, self-reflective thought, envisioning the future, and considering the perspective of others. Abnormalities in...

Large-scale topology and the default mode network in the mouse connectome

Proceedings of the National Academy of Sciences December 15, 2014 James M. Stafford, Benjamin R. Jarrett, Oscar Miranda Dominguez et al. 261 citations

Noninvasive functional imaging holds great promise for serving as a translational bridge between human and animal models of various neurological and psychiatric disorders. However, despite a depth of knowledge of the cellular and molecular underpinnings of atypical processes in mouse models, little is known about the large-scale functional architecture measured by functional brain imaging,...

Enhanced power within the default mode network in normal subjects with elevated scores on an egocentric scale.

The open neuroimaging journal November 19, 2014 Mark W G Collins, Michael A. Persinger

Integrated global power from the primary structures that composed the Default Mode Network (DMN) and from a random collection of other structures were measured by sLORETA (standardized low-resolution electromagnetic tomography) for young university volunteers who had completed an inventory that contained a subscale by which egocentricity has been inferred. Subjects who exhibited higher scores...

DOI: 10.2174/1874440001408010005 (opens in new tab) Full text (opens in new tab) Default mode network Gender differences Quantitative electroencephalography Sloreta. +2

Facilitation of Neuronal Responses by Intrinsic Default Mode Network Activity

Neural Computation November 1, 2014 Hiroakira Matsui, Meihong Zheng, Osamu Hoshino

Default mode network (DMN) shows intrinsic, high-level activity at rest. We tested a hypothesis proposed for its role in sensory information processing: Intrinsic DMN activity facilitates neural responses to sensory input. A neural network model, consisting of a sensory network (Nsen) and a DMN, was simulated. The Nsen contained cell assemblies. Each cell assembly comprised principal cells,...

Functional Reorganization of the Default Mode Network across Chronic Pain Conditions

PLoS One September 2, 2014 Marwan N. Baliki, Ali Mansour, Alex T. Baria et al. 539 citations

Chronic pain is associated with neuronal plasticity. Here we use resting-state functional magnetic resonance imaging to investigate functional changes in patients suffering from chronic back pain (CBP), complex regional pain syndrome (CRPS) and knee osteoarthritis (OA). We isolated five meaningful resting-state networks across the groups, of which only the default mode network (DMN) exhibited...

Damage to the Salience Network and Interactions with the Default Mode Network

Journal of Neuroscience August 13, 2014 S. R. Jilka, G. Scott, T. Ham et al. 242 citations

Interactions between the Salience Network (SN) and the Default Mode Network (DMN) are thought to be important for cognitive control. However, evidence for a causal relationship between the networks is limited. Previously, we have reported that traumatic damage to white matter tracts within the SN predicts abnormal DMN function. Here we investigate the effect of this damage on network...

Dynamic functional connectivity of the default mode network tracks daydreaming

Neuroimage June 25, 2014 Aaron Kucyi, Karen D. Davis 381 citations

Humans spend much of their time engaged in stimulus-independent thoughts, colloquially known as "daydreaming" or "mind-wandering." A fundamental question concerns how awake, spontaneous brain activity represents the ongoing cognition of daydreaming versus unconscious processes characterized as "intrinsic." Since daydreaming involves brief cognitive events that spontaneously fluctuate, we tested...

The salience network is responsible for switching between the default mode network and the central executive network: Replication from DCM

Neuroimage May 24, 2014 Nia Goulden, Aygul Khusnulina, Nicholas J. Davis et al. 828 citations

With the advent of new analysis methods in neuroimaging that involve independent component analysis (ICA) and dynamic causal modelling (DCM), investigations have focused on measuring both the activity and connectivity of specific brain networks. In this study we combined DCM with spatial ICA to investigate network switching in the brain. Using time courses determined by ICA in our dynamic...