2022
DOI: 10.1007/s11682-022-00696-9
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Aberrant stability of brain functional architecture in cirrhotic patients with minimal hepatic encephalopathy

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Cited by 6 publications
(4 citation statements)
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“…The proportion of men in each study was greater than that of women. The basic characteristics of the included studies are listed in Table 1 (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26). In addition, the included studies were high-quality literature.…”
Section: Basic Study Characteristics and The Results Of The Literatur...mentioning
confidence: 99%
“…The proportion of men in each study was greater than that of women. The basic characteristics of the included studies are listed in Table 1 (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26). In addition, the included studies were high-quality literature.…”
Section: Basic Study Characteristics and The Results Of The Literatur...mentioning
confidence: 99%
“…MHE is the early stage of hepatic encephalopathy, of which the clinical manifestation is poor orientation. If left untreated, MHE can rapidly develop into hepatic encephalopathy in a very short time, with a very poor prognosis and high mortality [10]. MHE pathogenesis is complex and unclear.…”
Section: Discussionmentioning
confidence: 99%
“…The dynamic characteristics of brain activity, commonly measured by dALFF, reflect intrinsic brain function during mental and cognitive processes ( Wang et al, 2016 ; Kucyi et al, 2017 ) and have recently been widely used as neuroimaging markers to deepen knowledge about the neural mechanisms underlying various neurological and psychiatric disorders ( Kim et al, 2017 ; Li et al, 2018 ). Although the cognitive deficits in MHE were confirmed to be associated with abnormal dynamic functional connectivity networks ( Chen et al, 2017 ; Cheng et al, 2021 ; Cai et al, 2022 ), whether the time-varying patterns of regional intrinsic brain activity are aberrant remains unknown. Compared to dynamic functional connectivity, dynamic brain activity can be presented with respect to captures fluctuation in spatial variability and strength using first-level statistics ( Fu et al, 2018 ).…”
Section: Discussionmentioning
confidence: 99%