scholarly journals Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder

2021 ◽  
Vol 12 ◽  
Author(s):  
Sujuan Li ◽  
Ziwei Teng ◽  
Yan Qiu ◽  
Pan Pan ◽  
Chujun Wu ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Default Mode Network ◽  
Density Lipoprotein ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Lipoprotein Cholesterol ◽  
Support Vector ◽  
Default Mode ◽  
Drug Naïve ◽  
The Right

Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.

Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation

2004 ◽  
Vol 16 (9) ◽  
pp. 1484-1492 ◽  
Author(s):  
Michael D. Greicius ◽  
Vinod Menon
Keyword(s):  
Episodic Memory ◽  
Cognitive Processing ◽  
Neural Activity ◽  
Default Mode Network ◽  
Brain Activity ◽  
Block Design ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
High Demand ◽  
Default Mode

Deactivation refers to increased neural activity during low-demand tasks or rest compared with high-demand tasks. Several groups have reported that a particular set of brain regions, including the posterior cingulate cortex and the medial prefrontal cortex, among others, is consistently deactivated. Taken together, these typically deactivated brain regions appear to constitute a default-mode network of brain activity that predominates in the absence of a demanding external task. Examining a passive, block-design sensory task with a standard deactivation analysis (rest epochs vs. stimulus epochs), we demonstrate that the default-mode network is undetectable in one run and only partially detectable in a second run. Using independent component analysis, however, we were able to detect the full default-mode network in both runs and to demonstrate that, in the majority of subjects, it persisted across both rest and stimulus epochs, uncoupled from the task waveform, and so mostly undetectable as deactivation. We also replicate an earlier finding that the default-mode network includes the hippocampus suggesting that episodic memory is incorporated in default-mode cognitive processing. Furthermore, we show that the more a subject's default-mode activity was correlated with the rest epochs (and “deactivated” during stimulus epochs), the greater that subject's activation to the visual and auditory stimuli. We conclude that activity in the default-mode network may persist through both experimental and rest epochs if the experiment is not sufficiently challenging. Time-series analysis of default-mode activity provides a measure of the degree to which a task engages a subject and whether it is sufficient to interrupt the processes—presumably cognitive, internally generated, and involving episodic memory—mediated by the default-mode network.

scholarly journals Maladaptive Self-Focused Attention and Default Mode Network Connectivity: A Transdiagnostic Investigation Across Social Anxiety and Body Dysmorphic Disorders

2021 ◽  
Author(s):  
Angela Fang ◽  
Bengi Baran ◽  
Clare C Beatty ◽  
Jennifer Mosley ◽  
Jamie D Feusner ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Social Anxiety ◽  
Default Mode Network ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Focused Attention ◽  
Neural Basis ◽  
Default Mode ◽  
Body Dysmorphic Disorders ◽  
Primary Body

Abstract Maladaptive self-focused attention (SFA) is a bias toward internal thoughts, feelings, and physical states. Despite its role as a core maintaining factor of symptoms in cognitive theories of social anxiety and body dysmorphic disorders, studies have not examined its neural basis. In this study, we hypothesized that maladaptive SFA would be associated with hyperconnectivity in the default mode network (DMN) in self-focused patients with these disorders. Thirty patients with primary social anxiety disorder or primary body dysmorphic disorder, and 28 healthy individuals were eligible and scanned. Eligibility was determined by scoring greater than 1SD or below 1SD of the Public Self-Consciousness Scale normative mean, respectively, for each group. Seed-to-voxel functional connectivity was computed using a DMN posterior cingulate cortex (PCC) seed. There was no evidence of increased DMN functional connectivity in patients compared to controls. Patients (regardless of diagnosis) showed reduced functional connectivity of the PCC with several brain regions, including the bilateral superior parietal lobule (SPL), compared to controls, which was inversely correlated with maladaptive SFA but not associated with social anxiety, body dysmorphic, or depression severity, or rumination. Abnormal PCC-SPL connectivity may represent a transdiagnostic neural marker of SFA that reflects difficulty shifting between internal versus external attention.

Altered functional connectivity in default mode network in Internet gaming disorder with childhood ADHD

2017 ◽  
Vol 41 (S1) ◽  
pp. S346-S346
Author(s):  
Y.C. Jung ◽  
K. Namkoong
Keyword(s):  
Functional Connectivity ◽  
Executive Control ◽  
Default Mode Network ◽  
Internet Gaming Disorder ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Gaming Disorder ◽  
Default Mode ◽  
Childhood Adhd ◽  
Internet Gaming

ObjectiveInternet gaming disorder (IGD) is a type of behavioral addiction characterized by abnormal executive control, leading to loss of control over excessive gaming. Attention deficit and hyperactivity disorder (ADHD) is one of the most common comorbid disorders in IGD, involving delayed development of the executive control system, which could predispose individuals to gaming addiction. We investigated the influence of childhood ADHD on neural network features of IGD.MethodsResting-state functional magnetic resonance imaging analysis was performed on 44 young, male IGD subjects with and without childhood ADHD and 19 age-matched, healthy male controls. Posterior cingulate cortex (PCC)-seeded connectivity was evaluated to assess abnormalities in default mode network (DMN) connectivity, which is associated with deficits in executive control.ResultsIGD subjects without childhood ADHD showed expanded functional connectivity (FC) between DMN-related regions (PCC, medial prefrontal cortex, thalamus) compared with controls. These subjects also exhibited expanded FC between the PCC and brain regions implicated in salience processing (anterior insula, orbitofrontal cortex) compared with IGD subjects with childhood ADHD. IGD subjects with childhood ADHD showed expanded FC between the PCC and cerebellum (crus II), a region involved in executive control. The strength of connectivity between the PCC and cerebellum (crus II) was positively correlated with self-reporting scales reflecting impulsiveness.ConclusionIndividuals with IGD showed altered PCC-based FC, the characteristics of which might be dependent upon history of childhood ADHD. Our findings suggest that altered neural networks for executive control in ADHD would be a predisposition for developing IGD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Methylphenidate Alters Functional Connectivity of Default Mode Network in Drug-Naive Male Adults With ADHD

2018 ◽  
Vol 24 (3) ◽  
pp. 447-455 ◽  
Author(s):  
Felipe Almeida Picon ◽  
João Ricardo Sato ◽  
Maurício Anés ◽  
Leonardo Modesti Vedolin ◽  
Alessandro André Mazzola ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Neurodevelopmental Disorder ◽  
Posterior Cingulate Cortex ◽  
Resting State Functional Connectivity ◽  
Homogeneous Sample ◽  
Male Adult ◽  
Default Mode ◽  
Drug Naïve

Objective: This study evaluated the hypothesis that methylphenidate immediate release (MPH-IR) treatment would improve Default Mode Network (DMN) within-connectivity. Method: Resting-state functional connectivity of the main nodes of DMN was evaluated in a highly homogeneous sample of 18 drug-naive male adult participants with ADHD. Results: Comparing resting-state functional connectivity functional magnetic resonance imaging (R-fMRI) scans before and after MPH treatment focusing exclusively on within-DMN connectivity, we evidenced the strengthening of functional connectivity between two nodes of the DMN: posterior cingulate cortex (PCC) and left lateral parietal cortex (LLP). Conclusion: Our results contribute to the further understanding on how MPH affects functional connectivity within DMN of male adults with ADHD and corroborate the hypothesis of ADHD being a delayed neurodevelopmental disorder.

scholarly journals Cerebral Blood Flow in Posterior Cortical Nodes of the Default Mode Network Decreases with Task Engagement but Remains Higher than in Most Brain Regions

2010 ◽  
Vol 21 (1) ◽  
pp. 233-244 ◽  
Author(s):  
A. Pfefferbaum ◽  
S. Chanraud ◽  
A.-L. Pitel ◽  
E. Muller-Oehring ◽  
A. Shankaranarayanan ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Default Mode Network ◽  
Brain Regions ◽  
Task Engagement ◽  
Default Mode

Dissociation of anatomical and functional alterations of the default-mode network in first-episode, drug-naive schizophrenia

2015 ◽  
Vol 126 (12) ◽  
pp. 2276-2281 ◽  
Author(s):  
Wenbin Guo ◽  
Feng Liu ◽  
Changqing Xiao ◽  
Zhikun Zhang ◽  
Miaoyu Yu ◽  
...  
Keyword(s):  
Default Mode Network ◽  
First Episode ◽  
Default Mode ◽  
Drug Naïve

Default mode network shows alterations for low-frequency fMRI fluctuations in euthymic bipolar disorder

2021 ◽  
Author(s):  
Marco Marino ◽  
Zaira Romeo ◽  
Alessandro Angrilli ◽  
Ilaria Semenzato ◽  
Angela Favaro ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Default Mode Network ◽  
Low Frequency ◽  
Default Mode

scholarly journals Maturation of Brain Regions Related to the Default Mode Network during Adolescence Facilitates Narrative Comprehension

2017 ◽  
Vol 05 (01) ◽  
Author(s):  
Tzipi Horowitz Kraus ◽  
Rola Farah ◽  
Ardag Hajinazarian ◽  
Kenneth Eaton ◽  
Akila Rajagopal ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Brain Regions ◽  
Narrative Comprehension ◽  
Default Mode

scholarly journals Associations of polymorphisms of some genes with excessive weight in a population sample of young citizens of Novosibirsk

2022 ◽  
Vol 17 (4) ◽  
pp. 35-42
Author(s):  
D. V. Denisova ◽  
A. A. Gurazheva ◽  
V. N. Maximov
Keyword(s):  
Population Sample ◽  
Density Lipoprotein ◽  
Obese Group ◽  
Lipoprotein Cholesterol ◽  
Young Population ◽  
Tcf7l2 Gene ◽  
Fto Gene ◽  
General Group ◽  
Biochemical Indicators ◽  
The Right

Aim of the study was to investigate the associations of polymorphisms of some genes with overweight and some anthropometric and biochemical indicators in a population sample of the young population of Novosibirsk. Material and methods. The study was carried out on a sample of young people aged 25–35 years, residents of Novosibirsk, selected by the method of random numbers (n = 319). During the survey, a questionnaire was filled out, anthropometric measurements, blood sampling, followed by biochemical and molecular genetic studies were carried out. Results. The odds ratio (OR) to detect a carrier of the AA rs9939609 genotype of the FTO gene in the group with an increased body mass index (BMI) compared to the group with a normal BMI is 2.1 times higher (95% confidence interval (95 % CI) 1.2– 3.8; p = 0.019 in the AA vs AT+TT model). In the Kruskal – Wallis test in the general group, differences were found in carriers of different rs9939609 genotypes of the FTO gene in the thickness of the skin fold in the middle third of the right shoulder (p = 0.0008) and under the right shoulder blade (p = 0.026). In carriers of the AA genotype, these indicators were noticeably higher compared to carriers of the AT and TT genotypes. Differences in high density lipoprotein cholesterol were found in women (p = 0.032; the lowest level in the AA genotype) and low density lipoprotein cholesterol (p = 0.027; the highest value in the AA genotype). In addition, female carriers of the TT rs7903146 genotype of the TCF7L2 gene had lower diastolic blood pressure than carriers of the CT and CC genotypes (p = 0.027). The probability of detecting a male carrier of the CT or TT genotypes of the TCF7L2 gene polymorphism rs7903146 in the obese group is 0.313 (95 % CI 0.102–0.955; p = 0.036 in the CC vs CT+TT model) compared with the group with excess BMI (25 ≤ BMI < 30 kg/m2 ). The probability of detecting the allele with rs10811661 of the CDKN2AB gene in the obese group is 2.2 times higher (95 % CI 1.1–4.5; p = 0.035) compared with the group with an excess BMI. Conclusion. The association of overweight in the population sample of the young population of Novosibirsk was confirmed with rs9939609 of the FTO gene, rs7903146 of the TCF7L2 gene, rs10811661 of the CDKN2AB gene. The association of rs2237892 of the KCNQ1 gene and rs1111875 of the HHEX gene with overweight was not found. Associations of the studied SNPs with some anthropometric and biochemical indicators were found.

scholarly journals The Association of Metabolic Dysfunction and Mood Across Lifespan Interacts With the Default Mode Network Functional Connectivity

2021 ◽  
Vol 13 ◽  
Author(s):  
Carlos Portugal-Nunes ◽  
Joana Reis ◽  
Ana Coelho ◽  
Pedro Silva Moreira ◽  
Teresa Costa Castanho ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Latent Variables ◽  
Latent Variable ◽  
Depressive Mood ◽  
Metabolic Dysfunction ◽  
Default Mode ◽  
The Right

Background: Numerous studies suggest a relationship between depression and metabolic syndrome, which is likely influenced by age. Interestingly, functional imaging analysis has shown an association between functional connectivity in the default mode network (DMN-FC) and components of metabolic syndrome, which is explored in this study.Methods: From a larger longitudinal cohort study on healthy aging, 943 individuals were extensively characterized for mood and cognition. Among these, 120 individuals who were selected for displaying extreme cognitive performance within the normal range (good and poor performers) were further studied. Here, in a cross-sectional design, using confirmatory factor analysis (CFA), the association between metabolic dysfunction and depressive mood as a function of age and its relationship with DMN-FC was studied.Results: Metabolic dysfunction was modeled as a second-order latent variable using CFA. First-order latent variables were obesity, glucose dysmetabolism, lipids imbalance, and blood pressure. Using multiple linear regression models, this study observed that metabolic dysfunction, glucose dysmetabolism, and lipids imbalance were linearly associated with depressive mood, and the association with obesity was U-shaped. The association of metabolic dysfunction, obesity, and glucose dysmetabolism with depressive mood is positive for the younger individuals in our sample and vanishes with aging. The FC of the right superior temporal gyrus with the DMN correlated with both obesity and depressive mood. In participants with higher obesity scores, FC increased with higher GDS scores, while in those with lower GDS scores, FC decreased. Age and blood pressure were associated with a more complex pattern of association between FC of the right supramarginal gyrus and GDS score.Conclusion: The association of metabolic dysfunction with depressive mood is influenced by age and relates with differential patterns of DMN-FC. The combination of the effects of age, mood, and metabolic dysfunction is likely to explain the heterogeneity of DMN-FC, which deserves further investigation with larger and longitudinal studies.

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