Exploring the effective connectivity of resting state networks in Mild Cognitive Impairment: An fMRI study combining ICA and multivariate Granger causality analysis

2012 ◽  
Author(s):  
Zhenyu Liu ◽  
Lijun Bai ◽  
Ruwei Dai ◽  
Chongguang Zhong ◽  
Hu Wang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Granger Causality ◽  
Resting State ◽  
Effective Connectivity ◽  
Causality Analysis ◽  
Resting State Networks ◽  
Granger Causality Analysis ◽  
Fmri Study

scholarly journals Multivariate Granger Causality Analysis of Acupuncture Effects in Mild Cognitive Impairment Patients: An fMRI Study

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Shangjie Chen ◽  
Lijun Bai ◽  
Maosheng Xu ◽  
Fang Wang ◽  
Liang Yin ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Granger Causality ◽  
Effective Connectivity ◽  
Brain Networks ◽  
Brain Regions ◽  
Causality Analysis ◽  
Granger Causality Analysis ◽  
Cognitive States ◽  
Dorsolateral Prefrontal

Evidence from clinical reports has indicated that acupuncture has a promising effect on mild cognitive impairment (MCI). However, it is still unknown that by what way acupuncture can modulate brain networks involving the MCI. In the current study, multivariate Granger causality analysis (mGCA) was adopted to compare the interregional effective connectivity of brain networks by varying needling depths (deep acupuncture, DA; superficial acupuncture, SA) and at different cognitive states, which were the MCI and healthy control (HC). Results from DA at KI3 in MCI showed that the dorsolateral prefrontal cortex and hippocampus emerged as central hubs and had significant causal influences with each other, but significant in HC for DA. Moreover, only several brain regions had remarkable causal interactions following SA in MCI and even few brain regions following SA in HC. Our results indicated that acupuncture at KI3 at different cognitive states and with varying needling depths may induce distinct reorganizations of effective connectivities of brain networks, and DA at KI3 in MCI can induce the strongest and more extensive effective connectivities related to the therapeutic effect of acupuncture in MCI. The study demonstrated the relatively functional specificity of acupuncture at KI3 in MCI, and needling depths play an important role in acupuncture treatments.

scholarly journals Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study

2005 ◽  
Vol 26 (4) ◽  
pp. 231-239 ◽  
Author(s):  
Serge A.R.B. Rombouts ◽  
Frederik Barkhof ◽  
Rutger Goekoop ◽  
Cornelis J. Stam ◽  
Philip Scheltens
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Resting State ◽  
Resting State Networks ◽  
Fmri Study

scholarly journals A failed top-down control from prefrontal cortex to amygdala in generalized anxiety disorder: evidence from resting-state fMRI with Granger causality analysis

2019 ◽  
Author(s):  
Mengshi Dong ◽  
Likun Xia ◽  
Min Lu ◽  
Chao Li ◽  
Ke Xu ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Anxiety Disorder ◽  
Granger Causality ◽  
Generalized Anxiety Disorder ◽  
Resting State ◽  
Effective Connectivity ◽  
Generalized Anxiety ◽  
Causality Analysis ◽  
Top Down ◽  
Granger Causality Analysis

AbstractObjectiveIn generalized anxiety disorder (GAD), abnormal top-down control from prefrontal cortex (PFC) to amygdala is a widely accepted hypothesis through which “emotional dysregulation model” may be explained. However, whether and how the PFC directly exerted abnormal top-down control on amygdala remained largely unknown. We aim to investigate the amygdala-based effective connectivity by using Granger causality analysis (GCA).MethodsThirty-five drug-naive patients with GAD and thirty-six healthy controls (HC) underwent resting-state functional MR imaging. We used seed-based Granger causality analysis to examine the effective connectivity between the bilateral amygdala and the whole brain. The amygdala-based effective connectivity was compared between the two groups.ResultsIn HC, the left middle frontal gyrus exerted inhibitory influence on the right amygdala, while in GAD group, this influence was disrupted (single voxel P < 0.001, Gaussian random field corrected with P < 0.01).ConclusionOur finding might provide new insight into the “insufficient top-down control” hypothesis in GAD.

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