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Default mode network: all studies

Page 122 of 155: studies 1,211 to 1,220 of 1,549, newest first. Back to the default mode network overview

Research

Functional Brain Networks of Minor and Well-Structured Major Hallucinations in Parkinson's Disease.

Movement Disorders February 2024 Kyoungwon Baik, Yae Ji Kim, Mincheol Park et al.

Minor hallucinations (mHs) and well-structured major hallucinations (MHs) are common symptoms of Parkinson's disease (PD) psychosis. To investigate the resting-state networks (RSNs) in patients with PD without hallucinations (PD-nH), with mH (PD-mH), and with MH (PD-MH). A total of 73 patients with PD were enrolled (27 PD-nH, 23 PD-mH, and 23 PD-MH). Using seed-based functional connectivity...

DOI: 10.1002/mds.29681 (opens in new tab) Full text (opens in new tab) Parkinson's disease Functional imaging Hallucinations

Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners

January 31, 2024 Nicco Reggente, Christian Kothe, Tracy Brandmeyer et al. 4 citations preprint

Meditation practices have demonstrated numerous psychological and physiological benefits, yet capturing the neural correlates of varying meditative depths remains challenging. This study aimed to decode self-reported time-varying meditative depth in expert practitioners using EEG. Expert Vipassana meditators (n=34) participated in two separate sessions. Participants reported their meditative...

DOI: 10.31234/osf.io/7c3er (opens in new tab) Meditation Electroencephalography Decoding methods Cognitive psychology +3

Individual variability in neural representations of mind-wandering

bioRxiv Preprint Server January 20, 2024 Aaron Kucyi, Nathan Anderson, Tiara Bounyarith et al. 2 citations preprint

Mind-wandering is a frequent, daily mental activity, experienced in unique ways in each person. Yet neuroimaging evidence relating mind-wandering to brain activity, for example in the default mode network (DMN), has relied on population-rather than individual-based inferences due to limited within-individual sampling. Here, three densely-sampled individuals each reported hundreds of...

A Meta-Analysis of Functional Neuroimaging Studies of Ketamine Administration in Healthy Volunteers.

Journal of Psychoactive Drugs 2024 Karim Ait Bentaleb, Mélanie Boisvert, Valérie Tourjman et al.

Ketamine administration leads to a psychotomimetic state when taken in large bolus doses, making it a valid model of psychosis. Therefore, understanding ketamine's effects on brain functioning is particularly relevant. This meta-analysis focused on neuroimaging studies that examined ketamine-induced brain activation at rest and during a task. Included are 10 resting-state studies and 23...

DOI: 10.1080/02791072.2023.2190758 (opens in new tab) Full text (opens in new tab) Ketamine Executive functions Functional imaging Meta-analysis +1

Silence between words: Is solitude important for relatedness?

Progress in Brain Research 2024 Rui Miguel Costa 4 citations

Chronic loneliness is a risk factor for physical and health problems, in part due to dysfunction of the hypothalamic-pituitary-adrenal (HPA) axis and sympathetic nervous system. In contrast, temporary moments of positive solitude (passing good times alone and not feeling lonely) appear to have positive effects on mental health, social life, and creativity, and seems to be a buffer against...

DOI: 10.1016/bs.pbr.2024.05.013 (opens in new tab) Full text (opens in new tab) Daydreaming Interoceptive awareness Loneliness Mental health +6

Augmenting mindfulness training through neurofeedback: a pilot study of the pre-post changes on resting-state functional connectivity in typically developing adolescents.

Frontiers in Neuroscience 2024 Kelly T. Cosgrove, Aki Tsuchiyagaito, Zsofia P Cohen et al. 3 citations

Mindfulness training has been shown to promote positive mental health outcomes and related changes in neural networks such as the default mode network, which has a central node in the posterior cingulate cortex (PCC). Previous work from our group reported on the impact of a novel, neurofeedback augmented mindfulness training (NAMT) task on regulation of PCC hemodynamic activity in typically...

DOI: 10.3389/fnins.2024.1397234 (opens in new tab) Full text (opens in new tab) Mindfulness Adolescence FMRI Neurofeedback Functional connectivity +1

Advances in brain and religion studies: a review and synthesis of recent representative studies.

Frontiers in Human Neuroscience 2024 Patrick Mcnamara, Jordan Grafman 8 citations

We review and synthesize recent religion and brain studies and find that at a broad network neuroscience level, religious/spiritual experiences (RSEs) appear to depend crucially upon interactions between the default mode network (DMN), the frontoparietal network (FPN), and the salience network (SN). We see this general result as broadly consistent with Menon's et al. "Triple Network or...

The neurocognition of dreaming: key questions and foci.

Emerging topics in life sciences December 22, 2023 Caroline L. Horton

Until recently, understanding the neurobiology of dreaming has relied upon on correlating a subjective dream report with a measure of brain activity or function sampled from a different occasion. As such, most assumptions about dreaming come from the neuroscience of rapid eye-movement (REM) sleep from which many, but not all, dream reports are recalled. Core features of REM sleep (intense...

The central role of the Thalamus in psychosis, lessons from neurodegenerative diseases and psychedelics.

Translational Psychiatry December 13, 2023 Marco Onofrj, Mirella Russo, Stefano Delli Pizzi et al. 42 citations

The PD-DLB psychosis complex found in Parkinson's disease (PD) and Dementia with Lewy Bodies (DLB) includes hallucinations, Somatic Symptom/Functional Disorders, and delusions. These disorders exhibit similar presentation patterns and progression. Mechanisms at the root of these symptoms also share similarities with processes promoting altered states of consciousness found in Rapid Eye Movement...

DOI: 10.1038/s41398-023-02691-0 (opens in new tab) Full text (opens in new tab) Brain's thalamus Vital sensory relay Region Filters sensory information +15

Sparse Bayesian modeling of hierarchical independent component analysis: Reliable estimation of individual differences in brain networks.

Biometrics December 2023 Joshua Lukemire, Giuseppe Pagnoni, Ying Guo

Independent component analysis (ICA) is one of the leading approaches for studying brain functional networks. There is increasing interest in neuroscience studies to investigate individual differences in brain networks and their association with demographic characteristics and clinical outcomes. In this work, we develop a sparse Bayesian group hierarchical ICA model that offers significant...

DOI: 10.1111/biom.13867 (opens in new tab) Full text (opens in new tab) Blind source separation Individual network differences Neuroimaging data analysis