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28 results for “default mode network”
Data related to: Hippocampal ripples and their coordinated dialogue with the default mode network during recent and remote recollection, Norman et al. (2021)
<p>This dataset contains intra-cranial EEG recordings and analysis code related to the paper: "Hippocampal ripples and their coordinated dialogue with the default mode network during recent and remote recollection" by Norman et al. (https://doi.org/10.1016/j.neuron.2021.06.020)<br> The study investigates the role of hippocampal ripples in the human brain during retrieval of recent and remote autobiographical memories and semantic facts. The intracranial recordings underwent standard preprocessing as described in the paper and were stored in EEGLAB datasets. The analysis code that accompanies the dataset implements the main analyses described in the paper.</p> <p>The dataset includes the following zip files:</p> <ul> <li>iEEG data and main analysis code: <ul> <li>“Norman_et_al_2021_iEEG_data_and_code_1.zip" </li> <li>“Norman_et_al_2021_iEEG_data_and_code_2.zip" </li> </ul> </li> <li>Patients' anatomical data: <ul> <li>“Norman_et_al_2021_Freesurfer.zip”</li> </ul> </li> <li>Additional toolboxes (developed by others): <ul> <li>“MATLAB_toolboxes.zip”</li> </ul> </li> </ul> <p>The code is written primarily in Matlab (version R2018b) and runs on a desktop computer with a 3.4Ghz Intel Core i7-6700 CPU with 64GB RAM. Matlab's Signal Processing Toolbox is required, as well as EEGLAB, Unfold toolbox, and several other open-source toolboxes.</p>
Reduced gray matter volume in the default-mode network associated with insulin resistance
<p>Insulin resistance may lead to structural and functional abnormalities of the human brain. However, the mechanism by which insulin resistance impairs the brain remains elusive. In this study, we used two large neuroimaging databases to investigate the brain regions where insulin resistance was associated with the gray matter volume and to examine the resting-state functional connectivity between these brain regions and each hypothalamic nucleus. Insulin resistance was associated with reduced gray matter volume in the regions of the default-mode and limbic networks in the cerebral cortex in older adults. Resting-state functional connectivity was prominent between these networks and the paraventricular nucleus of the hypothalamus, a hypothalamic interface connecting functionally with the cerebral cortex. Furthermore, we found a significant correlation in these networks between insulin resistance-related gray matter volume reduction and network paraventricular nucleus of the hypothalamus resting-state functional connectivity. These results suggest that insulin resistance-related gray matter volume reduction in the default-mode and limbic networks emerged through metabolic homeostasis mechanisms in the hypothalamus.</p>
Mediodorsal thalamus and ventral pallidum contribute to subcortical regulation of the default mode network
<p>Humans and other animals readily transition from externally to internally focused attention, and these transitions are accompanied by coactivation of a group of brain regions collectively known as the default mode network (DMN). While the DMN was considered a cortical network, recent evidence suggests subcortical structures are part of the DMN. Here we investigated the role of ventral pallidum (VP) and mediodorsal thalamus (MD) in DMN regulation in the tree shrew, a close relative of primates. We combine electrophysiology and deep learning-based motion tracking to perform unsupervised classification of behavioral states. We found gamma oscillations in VP and MD coordinated with gamma in the anterior cingulate (AC) cortex specifically during DMN states. Similar enhancements were found for high gamma, but only at subcortical sites. Cross-frequency coupling between gamma and delta oscillations were higher during DMN than other behaviors, underscoring the engagement of MD, VP, and AC circuits. Our findings highlight the importance of VP in DMN regulation in the tree shrew, consistent with rodent studies, and demonstrate a role for MD thalamus in DMN regulation. Our results extend homologies in DMN regulation among mammals, and underline the importance of thalamus and basal forebrain to the regulation of DMN brain states.</p>
Data from: Task-evoked metabolic demands of the posteromedial default mode network are shaped by dorsal attention and frontoparietal control networks
<p><span>External tasks evoke characteristic fMRI BOLD signal deactivations in the default mode network (DMN). However, for the corresponding metabolic glucose demands both decreases and increases have been reported. To resolve this discrepancy, functional PET/MRI data from 50 healthy subjects performing Tetris® were combined with previously published data sets of working memory, visual and motor stimulation. We show that the glucose metabolism of the posteromedial DMN is dependent on the metabolic demands of the correspondingly engaged task-positive networks. Specifically, the dorsal attention and frontoparietal network shape the glucose metabolism of the posteromedial DMN in opposing directions. While tasks that mainly require an external focus of attention lead to a consistent downregulation of both metabolism and the BOLD signal in the posteromedial DMN, cognitive control during working memory requires a metabolically expensive BOLD suppression. This indicates that two types of BOLD deactivations with different oxygen-to-glucose index may occur in this region. We further speculate that consistent downregulation of the two signals is mediated by decreased glutamate signaling, while divergence may be subject to active GABAergic inhibition. The results demonstrate that the DMN relates to cognitive processing in a flexible manner and does not always act as a cohesive task-negative network in isolation.</span></p>
A gap in primate default mode network organization (Atlases and Script)
<p>Code deposit in Python for the article: "A gap in primate default mode network organization" published in Cell Report.</p> <p>+</p> <p>Dictionary learning-based functional atlas in four primate species (mouse lemurs, marmosets, macaques, and humans)</p> <p>BOLD images were acquired in mouse lemurs, marmosets, macaques, and humans<br> Each functional atlas was made using a dictionary learning analysis with 7 components on pre-treated BOLD images.<br> Each component was concatenated and labeled to create each atlas.<br> The atlases were broken into functional regions automatically and manually.<br> <br> For each species:<br> DL7cpts_DicL_yung.nii.gz ==> output of the dictionary learning<br> <br> dict_learning_7compos_concat.nii.gz ==> functional atlas<br> <br> dict_learning_7compos_concat_break.nii.gz ==> functional atlas segmented automatically into functional regions<br> or<br> dict_learning_7compos_concat_break_handseg.nii.gz ==> functional atlas segmented automatically and manually into functional regions</p> <p>if used for publication please cite: </p> <p><strong>An evolutionary gap in primate default mode network organization</strong><br> <strong>Clement M Garin</strong>, Yuki Hori, Stefan Everling, Christopher T Whitlow, Finnegan Calabro, Beatriz Luna, Mathilda Froesel, Maëva Gacoin, Suliann Ben Hamed, Marc Dhenain, Christos Constantinidis</p> <p>Apr 2022<br> <strong>Cell Report</strong> 39, 2, 110669<br> DOI: <a href="https://doi.org/10.1016/j.celrep.2022.110669">10.1016/j.celrep.2022.110669</a></p>
Reduced gray matter volume in the default-mode network associated with insulin resistance
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Data from: Task-evoked metabolic demands of the posteromedial default mode network are shaped by dorsal attention and frontoparietal control networks
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Mediodorsal thalamus and ventral pallidum contribute to subcortical regulation of the default mode network
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Ventral pallidum efferent pathways via mediodorsal thalamus and lateral habenula mediate distinct aspects of default mode network regulation
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Posterior default mode network activity underlies distracted interoceptive attention and provides an objective basis for low mindfulness and depression
<p>Interoceptive attention to internal sensory signals is fundamental to mindfulness. However, it is difficult to measure objectively, and the vast majority of investigations of the neural correlates of mindfulness-based attention rely on subjective and retrospective measures of distraction. In this study, we measured consistency of response times on a breath-monitoring task (instruction to respond every 2 breath cycles) to objectively measure interoceptive attention in individuals across the lifespan (15–91 years of age, n=324). Consistently timed responses were indicative of on-task attention, whereas variable delayed responses indicated distraction or mind-wandering. Signifying the importance of interoceptive attention consistency, we observed that this measure was positively correlated across subjects with performance across several exteroceptive cognitive tasks. Electroencephalographic (EEG) source reconstruction demonstrated that distraction on the eyes-closed task was associated with elevated alpha band (8–12 Hz) brain activity, particularly in posterior default mode network (pDMN) brain regions. The neural data revealed four important findings: 1) pDMN brain activity was inversely linked with functional connectivity to the fronto-parietal network (FPN), suggesting that pDMN-FPN interactions play a key role in the regulation of pDMN activity during interoceptive attention. 2) pDMN activity on distracted trials was inversely correlated with trait-level mindfulness. 3) A key hub of the pDMN, the isthmus region of the posterior cingulate cortex (ICC), showed elevated activity on distracted trials in individuals with self-reported depressive symptoms. 4) In an independent second experiment, pDMN activity was adaptively modulated by task difficulty that invoked different levels of distraction. These results identify an EEG-based neurophysiological marker (elevated pDMN alpha activity) underlying interoceptive distraction, which is correlated with subjective markers of mindfulness and depression and that can be adaptively modulated. Our findings, thus, provide a direct link between a neurophysiological substrate of interoceptive attention, and subjective ratings of mindfulness and depressed mood.</p>
Longitudinal Study of the Default-mode Network Connectivity in Brain Injured Patients Recovering From Coma
ClinicalTrials.gov study NCT01620957. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effects of ASMR on the Default Mode Network
ClinicalTrials.gov study NCT05266508. IPD Sharing: NO. Countries: 1. Publications: 1.
Default Mode Network fMRI Maps as a Predictive Index of Hepatic Encephalopathy Outcome
ClinicalTrials.gov study NCT02083367. IPD Sharing: Not stated. Countries: 1. Publications: 27.
Transcranial Magnetic Stimulation of the Default Mode Network to Improve Sleep
ClinicalTrials.gov study NCT04953559. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Repetitive TMS of the Default Mode Network in AD
ClinicalTrials.gov study NCT03778151. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Targeting Default Mode Network Dysfunction in Persons At Risk of Alzheimer's Disease with Non-invasive Techniques
ClinicalTrials.gov study NCT05984446. IPD Sharing: NO. Countries: 1. Publications: 2.
Altering Default Mode Network Activity With Transcranial Focused Ultrasound to Reduce Depressive Symptoms
ClinicalTrials.gov study NCT06320028. IPD Sharing: NO. Countries: 1. Publications: 6.
Modulation of posterior default mode network activity during interoceptive attention and relation to mindfulness
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Data from: Dynamic up- and down-regulation of the default (DMN) and extrinsic (EMN) mode networks during alternating task-on and task-off periods
Using fMRI, Hugdahl et al. (2015) reported the existence of a general-domain cortical network during active task-processing which was non-specific to the cognitive task being processed. They labelled this network the extrinsic mode network (EMN). The EMN would be predicted to be negatively, or anti-correlated with the classic default mode network (DMN), typically observed during periods of rest, such that while the EMN should be down-regulated and the DMN up-regulated in the absence of demands for task-processing, the reverse should occur when demands change from resting to task-processing. This would require alternating periods of task-processing and resting, and analyzing data continuously when demands change from active to passive periods and vice versa. We were particularly interested in how the networks interact in the critical transition points between conditions. For this purpose we used an auditory task with multiple cognitive demands in a standard fMRI block-design. Task-present (ON) blocks were alternated with an equal number of task-absent, or rest (OFF) blocks to capture network dynamics across time and changing environmental demands. To achieve this, we specified the onset of each block, and used a finite-impulse response function (FIR) as basis function for estimation of the fMRI-BOLD response. During active (ON) blocks, the results showed an initial rapid onset of activity in the EMN network, which remained throughout the period, and faded away during the first scan of the OFF-block. During OFF blocks, activity in the DMN network showed an initial time-lag where neither the EMN nor the DMN was active, after which the DMN was up-regulated. Studying network dynamics in alternating passive and active periods may provide new insights into brain network interaction and regulation.
TZO - Working memory performance in glioma patients is associated with functional connectivity between the right dorsolateral prefrontal cortex and default mode network
<p>Data files hosted on Figshare for "Working memory performance in glioma patients is associated with functional connectivity between the right dorsolateral prefrontal cortex and default mode network".</p> <p>Contains functional connectivity matrices, clinical variables, and working memory performance scores of 45 glioma patients.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.