Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI

2015 ◽  
Vol 182 ◽  
pp. 8-17 ◽  
Author(s):  
Yunting Liu ◽  
Xia Wu ◽  
Jiacai Zhang ◽  
Xiaojuan Guo ◽  
Zhiying Long ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Effective Connectivity ◽  
Unipolar Depression ◽  
Resting State Fmri ◽  
Default Mode ◽  
Connectivity Model

scholarly journals Effective Connectivity within the Default Mode Network: Dynamic Causal Modeling of Resting-State fMRI Data

2016 ◽  
Vol 10 ◽  
Author(s):  
Maksim G. Sharaev ◽  
Viktoria V. Zavyalova ◽  
Vadim L. Ushakov ◽  
Sergey I. Kartashov ◽  
Boris M. Velichkovsky
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Effective Connectivity ◽  
Resting State Fmri ◽  
Causal Modeling ◽  
Fmri Data ◽  
Network Dynamic ◽  
Dynamic Causal Modeling ◽  
Default Mode

scholarly journals Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study

NeuroImage ◽  
2021 ◽  
Vol 226 ◽  
pp. 117581
Author(s):  
Fengmei Fan ◽  
Xuhong Liao ◽  
Tianyuan Lei ◽  
Tengda Zhao ◽  
Mingrui Xia ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Resting State Fmri ◽  
Childhood And Adolescence ◽  
Default Mode ◽  
Fmri Study

scholarly journals Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data

2018 ◽  
Author(s):  
Ravichandran Rajkumar ◽  
Ezequiel Farrher ◽  
Jörg Mauler ◽  
Praveen Sripad ◽  
Cláudia Régio Brambilla ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Fdg Pet ◽  
Resting State Fmri ◽  
Default Mode ◽  
Eeg Data

scholarly journals Neurophysiology (fMRI)

2015 ◽  
Vol 42 (S1) ◽  
pp. S38-S38
Author(s):  
ST Lang ◽  
B Goodyear ◽  
J Kelly ◽  
P Federico
Keyword(s):  
Cognitive Functioning ◽  
Default Mode Network ◽  
Resting State ◽  
Attentional Control ◽  
Brain Tumours ◽  
Resting State Fmri ◽  
Fmri Data ◽  
Resting State Networks ◽  
Default Mode ◽  
Eloquent Cortex

Background: Resting state functional MRI (rs-fMRI) provides many advantages to task-based fMRI in neurosurgical populations, foremost of which is the lack of the need to perform a task. Many networks can be identified by rs-fMRI in a single period of scanning. Despite the advantages, there is a paucity of literature on rs-fMRI in neurosurgical populations. Methods: Eight patients with tumours near areas traditionally considered as eloquent cortex participated in a five minute rs-fMRI scan. Resting-state fMRI data underwent Independent Component Analysis (ICA) using the Multivariate Exploratory Linear Optimized Decomposition into Independent Components (MELODIC) toolbox in FSL. Resting state networks (RSNs) were identified on a visual basis. Results: Several RSNs, including language (N=7), sensorimotor (N=7), visual (N=7), default mode network (N=8) and frontoparietal attentional control (n=7) networks were readily identifiable using ICA of rs-fMRI data. Conclusion: These pilot data suggest that ICA applied to rs-fMRI data can be used to identify motor and language networks in patients with brain tumours. We have also shown that RSNs associated with cognitive functioning, including the default mode network and the frontoparietal attentional control network can be identified in individual subjects with brain tumours. While preliminary, this suggests that rs-fMRI may be used pre-operatively to localize areas of cortex important for higher order cognitive functioning.

scholarly journals Analysis of Default Mode Network in Social Anxiety Disorder: EEG Resting-State Effective Connectivity Study

2021 ◽  
Author(s):  
Abdulhakim Al-Ezzi ◽  
Nidal Kamel ◽  
Ibrahima Faye ◽  
Esther Gunaseli
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Default Mode Network ◽  
Resting State ◽  
Effective Connectivity ◽  
Mean Values ◽  
Default Mode ◽  
Severe Group ◽  
The Mean

Several neuroimaging findings by using different modalities (e.g., fMRI and PET) have suggested that social anxiety disorder (SAD) is correlated with alterations in regional or network-level brain function. However, these modalities do not quantify the fast dynamic connectivity of causal information networks due to their poor temporal resolution. In this study, SAD-related changes in brain connections within the default mode network (DMN) was investigated using Electroencephalogram (EEG). Partial directed coherence (PDC) was used to assess the causal influences of DMN regions on each other and indicate the changes in the DMN effective network related to SAD severity. The EEG data were collected from 88 subjects (control, mild, moderate, severe) and used to estimate the effective connectivity between DMN regions at different frequency bands. Among the healthy control (HC) and the three considered levels of severity of SAD, the results indicated a higher level of causal interactions for the mild and moderate SAD groups than for the severe and HC groups. Between the control and the severe SAD groups, the results indicated a higher level of causal connections for the control throughout all the DMN regions. We found significant increases in the mean PDC in the delta and alpha bands between the SAD groups. Among the DMN regions, the precuneus exhibited a higher level of causal influence than other regions. Therefore, it was suggested to be a major source hub that contributes to the mental exploration and emotional content of SAD. In contrast to the severe group, the HC exhibited higher resting-state connectivity at the mesial prefrontal cortex (mPFC), providing evidence for mPFC dysfunction in the severe SAD group. Furthermore, the total Social Interaction Anxiety Scale (SIAS) was positively correlated with the mean values of the PDC of the severe SAD group and negatively correlated with those of the HC group. The reported results may facilitate greater comprehension of the underlying potential SAD neural biomarkers and can be used to characterize possible targets for further medication.

scholarly journals Sex Differences in the Default Mode Network with Regard to Autism Spectrum Traits: A Resting State fMRI Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0143126 ◽  
Author(s):  
Minyoung Jung ◽  
Maria Mody ◽  
Daisuke N. Saito ◽  
Akemi Tomoda ◽  
Hidehiko Okazawa ◽  
...  
Keyword(s):  
Sex Differences ◽  
Default Mode Network ◽  
Resting State ◽  
Resting State Fmri ◽  
Autism Spectrum ◽  
Default Mode ◽  
Fmri Study

scholarly journals Alpha dependent effective connectivity in the default mode network of resting state MEG

IBRO Reports ◽  
2019 ◽  
Vol 6 ◽  
pp. S171
Author(s):  
Junho Son ◽  
Chongwon Pae ◽  
Jiyoung Kang ◽  
Jinseok Eo ◽  
Hae-Jeong Park
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Effective Connectivity ◽  
Default Mode

scholarly journals Altered functional connectivity in default mode network in absence epilepsy: A resting-state fMRI study

2011 ◽  
Vol 32 (3) ◽  
pp. 438-449 ◽  
Author(s):  
Cheng Luo ◽  
Qifu Li ◽  
Yongxiu Lai ◽  
Yang Xia ◽  
Yun Qin ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Resting State Fmri ◽  
Absence Epilepsy ◽  
Default Mode ◽  
Fmri Study
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