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Default mode network: all studies

Page 25 of 155: studies 241 to 250 of 1,549, newest first. Back to the default mode network overview

Research

Age-related differences in Default Mode Network resting-state functional connectivity but not gray matter volume relate to sacrificial moral decision-making and working memory performance

Neuropsychologia December 15, 2022

Older adults make fewer utilitarian decisions than younger adults during sacrificial moral dilemmas, which are associated with age-related reductions in Default Mode Network resting-state functional connectivity. Decreases on tasks associated with fluid cognitive abilities, such as working memory capacity, are also associated with age-related Default Mode Network changes. Regions within this...

Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness.

Nature Communications November 14, 2022 Dian Lyu, Shruti Naik, David K. Menon et al.

Brain activity is intrinsically organised into spatiotemporal patterns, but it is still not clear whether these intrinsic patterns are functional or epiphenomenal. Using a simultaneous fMRI-EEG implementation of a well-known bistable visual task, we showed that the latent transient states in the intrinsic EEG oscillations can predict upcoming involuntarily perceptual transitions. The critical...

Default mode network scaffolds immature frontoparietal network in cognitive development

Cerebral Cortex November 1, 2022 Menglu Chen, Ying He, Lei Hao et al.

Abstract The default mode network (DMN) is a workspace for convergence of internal and external information. The frontal parietal network (FPN) is indispensable to executive functioning. Yet, how they interplay to support cognitive development remains elusive. Using longitudinal developmental fMRI with an n-back paradigm, we show a heterogeneity of maturational changes in multivoxel activity...

Default Mode Network Modulation by Psychedelics: A Systematic Review

The International Journal of Neuropsychopharmacology October 21, 2022 James J Gattuso, Daniel Perkins, Simon Ruffell et al. 233 citations

Abstract Psychedelics are a unique class of drug that commonly produce vivid hallucinations as well as profound psychological and mystical experiences. A grouping of interconnected brain regions characterized by increased temporal coherence at rest have been termed the Default Mode Network (DMN). The DMN has been the focus of numerous studies assessing its role in self-referencing, mind...

The "two-brain" approach reveals the active role of task-deactivated default mode network in speech comprehension.

Cerebral Cortex October 20, 2022 Lanfang Liu, Hehui Li, Zhiting Ren et al.

Exhibiting deactivation and anticorrelation with task-positive networks, the default mode network (DMN) has been traditionally thought to be suppressed to support externally oriented cognitive processes during spoken language comprehension. In contrast, recent studies examining listener-listener intersubject correlation (ISC) have proposed an active role of DMN in language comprehension. How...

Nasal airflow promotes default mode network activity.

Respiratory Physiology & Neurobiology October 1, 2022 M. Salimi, Fahime Ayene, Tannaz Parsazadegan et al.

BACKGROUND AND OBJECTIVES Default mode network (DMN) is a principal network that is more active at the baseline functional state of consciousness and spontaneous brain activity. Nasal breathing beyond the oxygen supply, entrained brain oscillations in widespread brain regions. Consistent with the important role of nasal breathing on neural oscillation for brain function, here we aimed to...

Mediating role of the default mode network on parental acceptance/warmth and psychopathology in youth

Brain Imaging and Behavior October 1, 2022

Humans are reliant on their caregivers for an extended period of time, offering numerous opportunities for environmental factors, such as parental attitudes and behaviors, to impact brain development. The default mode network is a neural system encompassing the medial prefrontal cortex, posterior cingulate cortex, precuneus, and temporo-parietal junction, which is implicated in aspects of...

Meditation reduces brain activity in the default mode network in children with active cancer and survivors.

Pediatric blood & cancer October 1, 2022 Aneesh Hehr, Allesandra Iadipaolo, Austin Morales et al.

Mounting evidence demonstrates that meditation can lower pain and emotional distress in adults, and more recently, in children. Children may benefit from meditation given its accessibility across a variety of settings (e.g., surgical preparation). Recent neuroimaging studies in adults suggest that meditation techniques are neurobiologically distinct from other forms of emotion regulation, such...

Separating neuronal activity and systemic low-frequency oscillation related BOLD responses at nodes of the default mode network during resting-state fMRI with multiband excitation echo-planar imaging

Frontiers in Neuroscience September 21, 2022 Atsushi Tachibana, Yoko Ikoma, Yoshiyuki Hirano et al.

Functional magnetic resonance imaging (fMRI) evaluates brain activity using blood oxygenation level-dependent (BOLD) contrast. Resting-state fMRI (rsfMRI) examines spontaneous brain function using BOLD in the absence of a task, and the default mode network (DMN) has been identified from that. The DMN is a set of nodes within the brain that appear to be active and in communication when the...

DOI: 10.3389/fnins.2022.961686 (opens in new tab) Full text (opens in new tab) Default mode network Resting-State FMRI Low-frequency oscillation Multiband epi +1

Extracting default mode network based on graph neural network for resting state fMRI study

Frontiers in Neuroimaging September 7, 2022 Donglin Wang, Qiang Wu, Don Hong

Functional magnetic resonance imaging (fMRI)-based study of functional connections in the brain has been highlighted by numerous human and animal studies recently, which have provided significant information to explain a wide range of pathological conditions and behavioral characteristics. In this paper, we propose the use of a graph neural network, a deep learning technique called graphSAGE,...