ArticleMetabolic brain disease2016
Identifying minimal hepatic encephalopathy in cirrhotic patients by measuring spontaneous brain activity.
Article in Metabolic brain disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Liver transplantation promotes early neural reorganization in minimal hepatic encephalopathy: a longitudinal resting state fMRI study.Metabolic brain disease · 2026Article
- Cortical microstructural changes in minimal hepatic encephalopathy: a gray matter-based spatial statistics study.Quantitative imaging in medicine and surgery · 2025Article
- Spontaneous neural activity changes in minimal hepatic encephalopathy before and 1 month after liver transplantation.Frontiers in human neuroscience · 2025Article
- Disruption of brain regional homogeneity and functional connectivity in male NAFLD: evidence from a pilot resting-state fMRI study.BMC psychiatry · 2023Article
- Changes in dynamic and static brain fluctuation distinguish minimal hepatic encephalopathy and cirrhosis patients and predict the severity of liver damage.Frontiers in neuroscience · 2023Article
- Aberrant stability of brain functional architecture in cirrhotic patients with minimal hepatic encephalopathy.Brain imaging and behavior · 2022Article
- Altered dynamic spontaneous neural activity in minimal hepatic encephalopathy.Frontiers in neurology · 2022Article
- Identification of minimal hepatic encephalopathy based on dynamic functional connectivity.Brain imaging and behavior · 2021Article
- Cognition-tracking-based strategies for diagnosis and treatment of minimal hepatic encephalopathy.Metabolic brain disease · 2020Review
- Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.Frontiers in neuroscience · 2020Article
- Reduced Cortical Complexity in Cirrhotic Patients with Minimal Hepatic Encephalopathy.Neural plasticity · 2020Article
- Altered cognitive control network is related to psychometric and biochemical profiles in covert hepatic encephalopathy.Scientific reports · 2019Article
- Multimodal MR imaging in hepatic encephalopathy: state of the art.Metabolic brain disease · 2018Review
- Recent advances in hepatic encephalopathy.F1000Research · 2017Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been demonstrated that minimal hepatic encephalopathy (MHE) is associated with aberrant regional intrinsic brain activity in cirrhotic patients. However, few studies have investigated whether altered intrinsic brain activity can be used as a biomarker of MHE among cirrhotic patients. In this study, 36 cirrhotic patients (with MHE, n = 16; without MHE [NHE], n = 20) underwent resting-state functional magnetic resonance imaging (fMRI). Spontaneous brain activity was measured by examining the amplitude of low-frequency fluctuations (ALFF) in the fMRI signal. MHE was diagnosed based on the Psychometric Hepatic Encephalopathy Score (PHES). A two-sample t-test was used to determine the regions of interest (ROIs) in which ALFF differed significantly between the two groups; then, ALFF values within ROIs were selected as classification features. A linear discriminative analysis was used to differentiate MHE patients from NHE patients. The leave-one-out cross-validation method was used to estimate the performance of the classifier. The classification analysis was 80.6 % accurate (81.3 % sensitivity and 80.0 % specificity) in terms of distinguishing between the two groups. Six ROIs were identified as the most discriminative features, including the bilateral medial frontal cortex/anterior cingulate cortex, posterior cingulate cortex/precuneus, left precentral and postcentral gyrus, right lingual gyrus, middle frontal gyrus, and inferior/superior parietal lobule. The ALFF values within ROIs were correlated with PHES in cirrhotic patients. Our findings suggest that altered regional brain spontaneous activity is a useful biomarker for MHE detection among cirrhotic patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.