title: Multivariate granger causality analysis of acupuncture effects in mild cognitive impairment patients: an FMRI study.
abstract: 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.
authors.affiliation: Baoan Hospital, Southern Medical University, Shenzhen 518101, China.
authors.forename: Shangjie
authors.initials: S
authors.lastname: Chen
authors.forename: Lijun
authors.initials: L
authors.lastname: Bai
authors.forename: Maosheng
authors.initials: M
authors.lastname: Xu
authors.forename: Fang
authors.initials: F
authors.lastname: Wang
authors.forename: Liang
authors.initials: L
authors.lastname: Yin
authors.forename: Xuming
authors.initials: X
authors.lastname: Peng
authors.forename: Xinghua
authors.initials: X
authors.lastname: Chen
authors.forename: Xuemin
authors.initials: X
authors.lastname: Shi
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