Accelerate Literature Icon
Want to do a literature review? Try our new Literature Review workflow

What episodic memory reveals about the default mode network

  • Abstract
  • Literature Map
  • Similar Papers
Abstract
Translate article icon Translate Article Star icon

What episodic memory reveals about the default mode network

Similar Papers
  • PDF Download Icon
  • Front Matter
  • 10.3389/fpsyt.2012.00027
By Fault or by Default
  • Mar 23, 2012
  • Frontiers in Psychiatry
  • Vishal Madaan + 1 more

SPECIALTY GRAND CHALLENGE article Front. Psychiatry, 23 March 2012Sec. Child and Adolescent Psychiatry Volume 3 - 2012 | https://doi.org/10.3389/fpsyt.2012.00027

  • Research Article
  • Cite Count Icon 154
  • 10.1089/brain.2011.0007
Connectivity Gradients Between the Default Mode and Attention Control Networks
  • Jan 1, 2011
  • Brain connectivity
  • Jeffrey S Anderson + 3 more

Functional imaging studies have shown reduced activity within the default mode network during attention-demanding tasks. The network circuitry underlying this suppression remains unclear. Proposed hypotheses include an attentional “switch” in the right anterior insula and reciprocal inhibition between the default mode and attention control networks. We analyzed resting state BOLD data from 1278 subjects from 26 sites and constructed whole brain maps of functional connectivity between 7266 ROIs covering the gray matter at approximately 5 mm resolution. ROIs belonging to the default mode network and attention control network were identified based on correlation to six published seed locations. Spatial heterogeneity of correlation between the default mode and attention control networks was observed, with smoothly varying gradients in every hub of both networks that ranged smoothly from weakly but significantly anticorrelated to positively correlated. Such gradients were reproduced in 3 separate groups of subjects. Anticorrelated subregions were identified in major hubs of both networks. Between-network connectivity gradients strengthen with age during late adolescence and early adulthood, with associated sharpening of the boundaries of the default mode network, integration of the insula and cingulate with frontoparietal attentional regions, and decreasing correlation between the default mode and attention control networks with age.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 79
  • 10.1016/j.celrep.2022.110669
An evolutionary gap in primate default mode network organization
  • Apr 1, 2022
  • Cell Reports
  • Clément M Garin + 10 more

An evolutionary gap in primate default mode network organization

  • Research Article
  • Cite Count Icon 40
  • 10.1016/j.isci.2020.101923
NREM sleep stages specifically alter dynamical integration of large-scale brain networks.
  • Dec 10, 2020
  • iScience
  • Anjali Tarun + 8 more

NREM sleep stages specifically alter dynamical integration of large-scale brain networks.

  • Research Article
  • Cite Count Icon 4
  • 10.1111/nmo.14271
Children with chronic nausea and orthostatic intolerance have unique brain network organization: A case-control trial.
  • Oct 4, 2021
  • Neurogastroenterology & Motility
  • John E Fortunato + 6 more

Determine whether subjects with chronic nausea and orthostatic intolerance share common alterations in key brain networks associated with central autonomic control: default mode, salience, and central executive networks, and the insula, a key component of the salience network. Ten subjects (ages 12-18years; 8 females, 2 males) with nausea predominant dyspepsia, orthostatic intolerance, and abnormal head-upright tilt test were consecutively recruited from pediatric gastroenterology clinic. These subjects were compared with healthy controls (n=8) without GI symptoms or orthostatic intolerance. Resting-state fMRI and brain network modularity analyses were performed. Differences in the default mode, salience, and central executive networks, and insular connectivity were measured. The community structure of the default mode network and salience network was significantly different between tilt-abnormal children and controls (p=0.034 and 0.012, respectively), whereas, no group difference was observed in the central executive network (p=0.48). The default mode network was more consistently "intact," and the consistency of the community structure in the salience network was reduced in tilt-abnormal children, especially in the insula. Children with chronic nausea and orthostatic intolerance have altered connectivity in the default mode network and salience network/insula, which supports over-monitoring of their body and altered processing of bodily states resulting in interoceptive hyper self-awareness. The connectivity of the salience network would not support optimal regulation of appropriate attention to internal and external stimuli, and the hyper-connected default mode network may result in a persistent self-referential state with feelings of emotion, pain, and anxiety.

  • Research Article
  • Cite Count Icon 1
  • 10.3760/cma.j.issn.1006-7884.2015.03.016
Aberrant functional connectivity within and across the default mode, central-executive, and salience network in patients with schizophrenia: a resting-state functional magnetic resonance imaging study
  • Jun 5, 2015
  • Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences)
  • Huan Huang + 7 more

目的 探讨精神分裂症患者脑静息态默认网络、中心执行网络及突显网络的网络内及网络间的功能连接特点.方法 对74例精神分裂症患者(患者组)和79名相匹配的健康者(对照组)进行静息态fMRI扫描.采取功能连接分析方法,以内侧前额叶皮质及右侧前岛叶为感兴趣区域分别提取默认网络、中心执行网络及突显网络,分析3个网络内及网络间静息态功能连接情况;并对有差异的功能连接与精神症状及病程等进行偏相关分析.结果 与对照组相比,患者组内侧前额叶皮质与双侧背外侧前额叶皮质(左侧-0.02±0.18与-0.12±0.12,t=4.25,P<0.01;右侧-0.02±0.11与-0.10±0.10,t=5.40,P<0.01)、双侧豆状壳核(左侧0.14±0.12与0.04±0.10,t=5.03,P<0.01;右侧0.13±0.11与0.03±0.98,t=4.96,P<0.01)的功能连接增强;右侧前岛叶与左侧额中回(-0.05±0.17与-0.07±0.17,t=4.60,P<0.01)及楔前叶/后扣带回(0.01±0.13与-0.09±0.14,t=4.01,P<0.01)的功能连接增强(均采用高斯随机场理论校正,体素水平P<0.01,簇水平P<0.05);默认网络与中心执行网络、突显网络间的负向功能连接减小甚至消失(Bonferroni校正P<0.05).患者组PANSS阳性症状分与右侧前岛叶与楔前叶/后扣带回皮质间的功能连接呈正相关(r=0.232,P=0.025);患者组病程与右侧前岛叶与左侧额中回(r=0.288,P=0.007)、楔前叶/后扣带回(r=0.196,P=0.049)间的功能连接呈正相关.结论 精神分裂症患者存在静息态默认网络、中心执行网络及突显网络3个网络间的连接异常,可能与精神分裂症的病理机制有关.

  • Peer Review Report
  • 10.7554/elife.84683.sa0
Editor's evaluation: Task-evoked metabolic demands of the posteromedial default mode network are shaped by dorsal attention and frontoparietal control networks
  • Feb 9, 2023
  • Shella Keilholz

In the human brain, default mode network BOLD deactivations can be accompanied by both increases and decreases in glucose metabolism, depending on the respective metabolic demands of task-positive cognitive control and attention networks.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 196
  • 10.1523/jneurosci.1492-16.2016
Youthful Brains in Older Adults: Preserved Neuroanatomy in the Default Mode and Salience Networks Contributes to Youthful Memory in Superaging.
  • Sep 14, 2016
  • The Journal of Neuroscience
  • Felicia W Sun + 5 more

Decline in cognitive skills, especially in memory, is often viewed as part of "normal" aging. Yet some individuals "age better" than others. Building on prior research showing that cortical thickness in one brain region, the anterior midcingulate cortex, is preserved in older adults with memory performance abilities equal to or better than those of people 20-30 years younger (i.e., "superagers"), we examined the structural integrity of two large-scale intrinsic brain networks in superaging: the default mode network, typically engaged during memory encoding and retrieval tasks, and the salience network, typically engaged during attention, motivation, and executive function tasks. We predicted that superagers would have preserved cortical thickness in critical nodes in these networks. We defined superagers (60-80 years old) based on their performance compared to young adults (18-32 years old) on the California Verbal Learning Test Long Delay Free Recall test. We found regions within the networks of interest where the cerebral cortex of superagers was thicker than that of typical older adults, and where superagers were anatomically indistinguishable from young adults; hippocampal volume was also preserved in superagers. Within the full group of older adults, thickness of a number of regions, including the anterior temporal cortex, rostral medial prefrontal cortex, and anterior midcingulate cortex, correlated with memory performance, as did the volume of the hippocampus. These results indicate older adults with youthful memory abilities have youthful brain regions in key paralimbic and limbic nodes of the default mode and salience networks that support attentional, executive, and mnemonic processes subserving memory function. Memory performance typically declines with age, as does cortical structural integrity, yet some older adults maintain youthful memory. We tested the hypothesis that superagers (older individuals with youthful memory performance) would exhibit preserved neuroanatomy in key brain networks subserving memory. We found that superagers not only perform similarly to young adults on memory testing, they also do not show the typical patterns of brain atrophy in certain regions. These regions are contained largely within two major intrinsic brain networks: the default mode network, implicated in memory encoding, storage, and retrieval, and the salience network, associated with attention and executive processes involved in encoding and retrieval. Preserved neuroanatomical integrity in these networks is associated with better memory performance among older adults.

  • Research Article
  • Cite Count Icon 104
  • 10.1017/s1355617715000892
Salience and Default Mode Network Coupling Predicts Cognition in Aging and Parkinson's Disease.
  • Feb 1, 2016
  • Journal of the International Neuropsychological Society
  • Deepti Putcha + 4 more

Cognitive impairment is common in Parkinson's disease (PD). Three neurocognitive networks support efficient cognition: the salience network, the default mode network, and the central executive network. The salience network is thought to switch between activating and deactivating the default mode and central executive networks. Anti-correlated interactions between the salience and default mode networks in particular are necessary for efficient cognition. Our previous work demonstrated altered functional coupling between the neurocognitive networks in non-demented individuals with PD compared to age-matched control participants. Here, we aim to identify associations between cognition and functional coupling between these neurocognitive networks in the same group of participants. We investigated the extent to which intrinsic functional coupling among these neurocognitive networks is related to cognitive performance across three neuropsychological domains: executive functioning, psychomotor speed, and verbal memory. Twenty-four non-demented individuals with mild to moderate PD and 20 control participants were scanned at rest and evaluated on three neuropsychological domains. PD participants were impaired on tests from all three domains compared to control participants. Our imaging results demonstrated that successful cognition across healthy aging and Parkinson's disease participants was related to anti-correlated coupling between the salience and default mode networks. Individuals with poorer performance scores across groups demonstrated more positive salience network/default-mode network coupling. Successful cognition relies on healthy coupling between the salience and default mode networks, which may become dysfunctional in PD. These results can help inform non-pharmacological interventions (repetitive transcranial magnetic stimulation) targeting these specific networks before they become vulnerable in early stages of Parkinson's disease.

  • Research Article
  • Cite Count Icon 25
  • 10.2340/16501977-1249
Altered default mode and affective network connectivity in stroke patients with and without dysphagia
  • Jan 1, 2014
  • Journal of Rehabilitation Medicine
  • S Li + 11 more

Neuroimaging studies in stroke patients provide substantial evidence for the involvement of widespread cortical and subcortical regions in the control of swallowing. Although the affective network and the default mode network are functionally related to "autonomic" and "volitional" swallowing, little is known about their functional changes in dysphagic stroke patients. Unbiased seeds functional connectivity analysis was used to study the connectivity patterns of these resting-state networks. Resting-state functional magnetic resonance imaging was performed in stroke patients with (n = 12) and without dysphagia (n = 12). Compared with healthy controls, stroke patients with and without dysphagia had decreased functional connectivity in the default mode network and the affective network. Moreover, stroke patients with dysphagia also had decreased functional connectivity in both the default mode network and the affective network relative to patients without dysphagia. The difference in the extent of impairment in the default mode network and affective network of stroke patients with and without dysphagia may lead to improved understanding of the neuropathophysiological mechanism and rehabilitation of dysphagia.

  • Abstract
  • Cite Count Icon 2
  • 10.1080/21507740.2014.911782
Selected Abstracts From the 2013 International Neuroethics Society Annual Meeting
  • Jun 13, 2014
  • AJOB Neuroscience

Selected Abstracts From the 2013 International Neuroethics Society Annual Meeting

  • Research Article
  • Cite Count Icon 20
  • 10.1016/j.nicl.2019.101932
Somatic symptoms disorders in Parkinson's disease are related to default mode and salience network dysfunction.
  • Jan 1, 2019
  • NeuroImage: Clinical
  • Raffaella Franciotti + 7 more

Somatic symptoms disorders in Parkinson's disease are related to default mode and salience network dysfunction.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 2
  • 10.21203/rs.3.rs-3949072/v1
Distinct multimodal biological and functional profiles of symptom-based subgroups in recent-onset psychosis
  • Mar 13, 2024
  • Research Square
  • Nikolaos Koutsouleris + 27 more

Symptom heterogeneity characterizes psychotic disorders and hinders the delineation of underlying biomarkers. Here, we identify symptom-based subtypes of recent-onset psychosis (ROP) patients from the multi-center PRONIA (Personalized Prognostic Tools for Early Psychosis Management) database and explore their multimodal biological and functional signatures. We clustered N = 328 ROP patients based on their maximum factor scores in an exploratory factor analysis on the Positive and Negative Syndrome Scale items. We assessed inter-subgroup differences and compared to N = 464 healthy control (HC) individuals regarding gray matter volume (GMV), neurocognition, polygenic risk scores, and longitudinal functioning trajectories. Finally, we evaluated factor stability at 9- and 18-month follow-ups. A 4-factor solution optimally explained symptom heterogeneity, showing moderate longitudinal stability. The ROP-MOTCOG (Motor/Cognition) subgroup was characterized by GMV reductions within salience, control and default mode networks, predominantly throughout cingulate regions, relative to HC individuals, had the most impaired neurocognition and the highest genetic liability for schizophrenia. ROP-SOCWD (Social Withdrawal) patients showed GMV reductions within medial fronto-temporal regions of the control, default mode, and salience networks, and had the lowest social functioning across time points. ROP-POS (Positive) evidenced GMV decreases in salience, limbic and frontal regions of the control and default mode networks. The ROP-AFF (Affective) subgroup showed GMV reductions in the salience, limbic, and posterior default-mode and control networks, thalamus and cerebellum. GMV reductions in fronto-temporal regions of the salience and control networks were shared across subgroups. Our results highlight the existence of behavioral subgroups with distinct neurobiological and functional profiles in early psychosis, emphasizing the need for refined symptom-based diagnosis and prognosis frameworks.

  • Research Article
  • Cite Count Icon 55
  • 10.1177/0271678x16654922
Cerebral blood flow modulation insufficiency in brain networks in multiple sclerosis: A hypercapnia MRI study
  • Jul 20, 2016
  • Journal of Cerebral Blood Flow & Metabolism
  • Olga Marshall + 4 more

Cerebrovascular reactivity measures vascular regulation of cerebral blood flow and is responsible for maintaining healthy neurovascular coupling. Multiple sclerosis exhibits progressive neurodegeneration and global cerebrovascular reactivity deficits. This study investigates varied degrees of cerebrovascular reactivity impairment in different brain networks, which may be an underlying cause for functional changes in the brain, affecting long-distance projection integrity and cognitive function; 28 multiple sclerosis and 28 control subjects underwent pseudocontinuous arterial spin labeling perfusion MRI to measure cerebral blood flow under normocapnia (room air) and hypercapnia (5% carbon dioxide gas mixture) breathing. Cerebrovascular reactivity, measured as normocapnic to hypercapnic cerebral blood flow percent increase normalized by end-tidal carbon dioxide change, was determined from seven functional networks (default mode, frontoparietal, somatomotor, visual, limbic, dorsal, and ventral attention networks). Group analysis showed significantly decreased cerebrovascular reactivity in patients compared to controls within the default mode, frontoparietal, somatomotor, and ventral attention networks after multiple comparison correction. Regression analysis showed a significant correlation of cerebrovascular reactivity with lesion load in the default mode and ventral attention networks and with gray matter atrophy in the default mode network. Functional networks in multiple sclerosis patients exhibit varied amounts of cerebrovascular reactivity deficits. Such blood flow regulation abnormalities may contribute to functional communication disruption in multiple sclerosis.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 108
  • 10.1038/s41398-020-01103-x
Default mode and salience network alterations in suicidal and non-suicidal self-injurious thoughts and behaviors in adolescents with depression
  • Jan 12, 2021
  • Translational Psychiatry
  • Tiffany C Ho + 7 more

Suicidal ideation (SI) and non-suicidal self-injury (NSSI) are two distinct yet often co-occurring risk factors for suicide deaths in adolescents. Elucidating the neurobiological patterns that specifically characterize SI and NSSI in adolescents is needed to inform the use of these markers in intervention studies and to develop brain-based treatment targets. Here, we clinically assessed 70 adolescents—49 adolescents with depression and 21 healthy controls—to determine SI and NSSI history. Twenty-eight of the depressed adolescents had a history of SI and 29 had a history of NSSI (20 overlapping). All participants underwent a resting-state fMRI scan. We compared groups in network coherence of subdivisions of the central executive network (CEN), default mode network (DMN), and salience network (SN). We also examined group differences in between-network connectivity and explored brain-behavior correlations. Depressed adolescents with SI and with NSSI had lower coherence in the ventral DMN compared to those without SI or NSSI, respectively, and healthy controls (all ps < 0.043, uncorrected). Depressed adolescents with NSSI had lower coherence in the anterior DMN and in insula-SN (all ps < 0.030, uncorrected), and higher CEN–DMN connectivity compared to those without NSSI and healthy controls (all ps < 0.030, uncorrected). Lower network coherence in all DMN subnetworks and insula-SN were associated with higher past-month SI and NSSI (all ps < 0.001, uncorrected). Thus, in our sample, both SI and NSSI are related to brain networks associated with difficulties in self-referential processing and future planning, while NSSI specifically is related to brain networks associated with disruptions in interoceptive awareness.

Save Icon
Up Arrow
Open/Close
Notes

Save Important notes in documents

Highlight text to save as a note, or write notes directly

You can also access these Documents in Paperpal, our AI writing tool

Powered by our AI Writing Assistant