2020
DOI: 10.1016/j.jad.2020.06.062
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Cerebellar-cerebral dynamic functional connectivity alterations in major depressive disorder

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Cited by 49 publications
(35 citation statements)
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“…Recent study showed patients with MDD had decreased cerebellar-cerebral dynamic FC of the cerebellar subregions connecting with the executive, default-mode and affective-limbic networks. The dynamic FC of the cerebellar subregion connecting with the affective-limbic network was related to severity of depression and anxiety symptoms in MDD patients [45] .Our findings proved that migraine patients comorbid depression had decreased FC of cerebellum compared migraineurs. Thus we can consider cerebellum not only involve the processing of migraine pain but also plays a role in contribute to modulate cortical excitability in migraineurs with depression.…”
Section: Discussionsupporting
confidence: 60%
“…Recent study showed patients with MDD had decreased cerebellar-cerebral dynamic FC of the cerebellar subregions connecting with the executive, default-mode and affective-limbic networks. The dynamic FC of the cerebellar subregion connecting with the affective-limbic network was related to severity of depression and anxiety symptoms in MDD patients [45] .Our findings proved that migraine patients comorbid depression had decreased FC of cerebellum compared migraineurs. Thus we can consider cerebellum not only involve the processing of migraine pain but also plays a role in contribute to modulate cortical excitability in migraineurs with depression.…”
Section: Discussionsupporting
confidence: 60%
“…Because of the nature of constantly changing neural activity, increasing evidences have demonstrated that FC across brain regions is inherently dynamic, rather than simply static (18,19). Static and dynamic FC detect different aspects of abnormal neural activity in PD and can offer complementary evidence (20,21).…”
Section: Introductionmentioning
confidence: 99%
“…As dFC analysis can extract more time-varying characteristics of information exchange between brain regions on a time scale and because these characteristics are significantly related to many physiological parameters ( 12 ), pathological features ( 13 ), and even intervention effects ( 14 ), dFC analysis seems to be particularly suitable for evaluating the complex and changeable characteristics of brain networks after stroke and exploring the neural mechanism of functional rehabilitation. Previous studies have shown that the proportion between integrated and segregated states was not balanced in patients who suffered from strokes ( 4 ) and that the temporal dynamics of FC were closely related to clinical severity ( 15 , 16 ).…”
Section: Introductionmentioning
confidence: 99%