Abstract
Minimal hepatic encephalopathy (MHE) is diagnosed using PHES battery, but other tests are more sensitive, and a simple tool for early MHE detection is required. Assessment of saccadic eye movements is useful for early detection of cognitive alterations in different pathologies. We characterized the alterations in saccadic eye movements in MHE patients, its relationship with cognitive alterations and its utility for MHE diagnosis. One-hundred and eighteen cirrhotic patients (86 without and 32 with MHE) and 35 controls performed PHES and Stroop test and an eye movements test battery by OSCANN system: visual saccades, antisaccades, memory-guided saccades, fixation test and smooth pursuit. We analyzed 177 parameters of eye movements, assessed their diagnostic capacity for MHE, and correlated with cognitive alterations. MHE patients showed alterations in 56 of the 177 variables of eye movements compared to NMHE patients. MHE patients showed longer latencies and worse performance in most eye movements tests, which correlated with mental processing speed and attention impairments. The best correlations found were for antisaccades and memory-guided saccades, and some parameters in these tests could be useful for discriminating MHE and NMHE patients. Eye movements analysis could be a new, rapid, reliable, objective, and reproducible tool for early diagnose MHE.
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Introduction
Between 33 and 50% of patients with liver cirrhosis can develop minimal hepatic encephalopathy (MHE), the earliest form of hepatic encephalopathy (HE)1,2,3,4, which affects several million patients around the world5. MHE is characterized by mild cognitive impairment, alterations in attention4,6,7, psychomotor slowing and impaired motor coordination7,8, altered postural control9 associated with increased risk of falls10, and impaired fitness to drive11,12. MHE reduces life quality13, and increases the risk of progression to overt hepatic encephalopathy14.
Early detection and treatment of MHE would prevent its progression to HE, reduce hospitalization costs15, prolong survival16,17, and improve quality of life of patients.
There is a consensus to use the Psychometric Hepatic Encephalopathy Score (PHES) as a common “gold standard” for diagnosis of MHE18,19. The PHES is a battery of five psychometric tests (see Methods) that evaluates mainly mental processing speed, motor speed, attention, and visuo-spatial coordination18.
However, these tests are time consuming, require specialized staff, and must be corrected by age and educational level. Therefore, these tests are difficult to perform in clinical practice, and most patients with MHE remain undiagnosed and untreated around the world. There is a clear necessity to find new tools for early detection of MHE in an objective, rapid, reproducible and sensitive way.
Alterations in cognitive processes can be reflected as changes in saccadic eye movement, and it has been proposed that the analysis of certain parameters of saccadic eye movement would be useful for early detection of cognitive and motor alterations in different pathologies, including multiple sclerosis, Parkinson’s and Alzheimer’s diseases20,21,22,23, and also MHE24,25.
Some studies reported alterations in eye movement in patients with liver cirrhosis24,25,26. Alterations in eye movements such as “small pursuit eye movements” have been described in patients with HE24. However, although MHE patients showed a qualitative increase in corrective catch-up saccades, they did not show significant differences compared to patients with no cognitive impairment24. The latencies of saccades are longer in cirrhotic patients than in control subjects25,26, these alterations are reduced after liver transplantation26, and correlate with the evolution of the results obtained by these patients in psychometric tests25,26. These studies suggest that deeper research on ocular movements could improve the understanding of MHE alterations, and be useful for MHE diagnosis.
In this study, we performed a detailed characterization of the alterations suffered by MHE patients through the extensive analysis of 177 saccadic eye movement parameters, measured using an OSCANN desk100 gaze tracker27, based on video electro-oculography (VOG) techniques. It is a sensitive device that uses non-invasive technology for the fine analysis of 177 parameters derived from the recording of eye movements, with much higher accuracy and precision values (lower than 0.4 and 0.03, respectively) than other commercial eye-trackers27. This device fulfils the legal requirements of the European Union, including the personal data protection law. All data are analyzed automatically and a report is generated for to the clinician to evaluate in real time. The OSCANN desk 100 software includes a broad set of visual tests, each one aimed at generating different oculomotor responses, and can provide precise analysis and objective evaluations of eye movement alterations involved in several neurological diseases and their progression. Besides, the premises of these visual tests are simple enough for patients to understand and perform them easily.
The main aim of this work was to characterize the alterations in saccadic eye movements in patients with MHE compared with healthy controls and cirrhotic patients without MHE (NMHE). We also assessed the relationship of eye movements impairment with some neurological alterations, and the utility of eye movements as a diagnostic tool for MHE.
We analyzed 177 parameters of eye movements using a set of visual tests (visually guided saccades, memory guided saccades, anti-saccades, smooth pursuit eye movements and fixation test) measured by the OSCANN desk 100 device. We assessed their diagnostic capacity for MHE, and correlated with cognitive alterations associated to MHE.
Results
Neuropsychological performance
The PHES battery classified 32 patients (27%) as “with MHE” and 86 (73%) patients as “without MHE” (NMHE). The study also included 35 healthy control subjects without liver disease. MHE patients showed reduced performance in all subtests from PHES and in the three tasks from Stroop test, compared to NMHE patients and controls (Table 1). No significant differences were observed in age or in severity of liver damage (Child Pugh and MELD scores; Table 1).
Analysis of 177 parameters of 10 eye movements tests
Different types of eye movements were analysed: visually-guided saccades, memory-guided saccades, anti-saccades and smooth pursuit, and fixation test. For each of these tests a number of parameters were analysed: latency, velocity, positive and negative error, etc.; resulting in the exhaustive analysis of 177 parameters of 10 different eye movements tests. The values for 165 of these parameters are shown in Tables 2, 3, and 4 and Tables S2 and S3. The lacking parameters are reiterative.
Seventy-four parameters were significantly different in MHE patients compared to controls and 56 significantly different from NMHE patients (Tables 2, 3, 4).
Visual guided saccades
In visually-guided saccades tests only 3 of 32 parameters (Table S2) showed alterations allowing the differentiation of MHE patients from both NMHE patients and controls, the latency (p < 0.05) (Fig. 1a) and SD of latency of the horizontal version (p = 0.001), and the return latency of the vertical version (p = 0.007).
Memory-guided saccades
For memory-guided saccades tests only 3 out of 36 parameters analyzed show alterations (Table S3) that can differentiate MHE patients from NMHE patients and controls, the gain (p = 0.04) and number and rate of correctly performed saccades from the horizontal version of (p < 0.001). It must be noted that the number (and rate) of correctly performed saccades from the vertical version of this test shows similar alterations, but in this case NMHE patients show also mild alterations. In the vertical memory-guided saccades test, MHE patients showed longer latency than NMHE patients and controls (p < 0.001) (Fig. 1a, and Table S3).
Anti-saccades
For anti-saccadic movements, MHE patients show alterations in 20 of 50 parameters when compared to NMHE patients and controls (Table 2). These alterations include positive error, the standard deviation (SD) of negative error and the number of incorrect anti-saccades for both horizontal and vertical tests. In the horizontal anti-saccades test there are alterations in the number of correct anti-saccades and second order reflexive saccades (Fig. 1c, and Table 2). In the vertical anti-saccades test, the latency of anti-saccades and reflexive saccades, negative error, SD of positive error, and the number of corrected and anticipated anti-saccades are altered (Fig. 1a,d, and Table 2). As the cognitive demand of the test increases, patients with MHE show much higher latencies than the other study groups (Fig. 1a). Most of the variables altered in the vertical anti-saccades test are also altered in the horizontal anti-saccades test, but NMHE patients also show mild alterations in this case.
Smooth pursuit
MHE patients show alterations in 13 out of 30 parameters obtained from the smooth pursuit tests when compared to NMHE patients and controls (Table 3). In the three versions of this test, the total and pursuit mean squared error of position is altered in MHE (Fig. 1b); while the catch-up saccades, pursuit time and gain are altered only in two of the three tests (Table 3). Back-up saccades are altered in the horizontal version, and latency is altered only in the version that includes velocity changes in the stimulus movement.
Fixation
In the fixation test, 5 out of 29 analyzed parameters are altered in MHE patients compared to NMHE patients and controls (Table 4). These are the number of drifts, BCEA and both its horizontal and vertical SD, amplitude and velocity of microsaccades. In this test NMHE patients showed alterations when compared to controls, in number of saccades, and microsaccades amplitude, with a much lower level of significance than for MHE group.
Correlations between eye movements and neuropsychological tests
We performed a correlation analysis between the eye movement parameters altered in the patients and their performance in the neuropsychological test (Table 5 and Tables S4–S8).
There were significant correlations between PHES score and subtests from PHES with parameters of anti-saccades test (Table 5). In general, for both versions of this test, the best correlations were found with PHES subtests measuring mental processing speed (DST) and attention (NCT-A and NCT-B) and also with visuo-spatial tracing performance (LTT) (Fig. 2a,b,d,e, and Table 5). An altered performance in antisaccades test also correlated with poorer performance in Stroop test (Fig. 2c,f, and Table 5).
There were significant correlations between PHES score and most of parameters of fixation test, highlighting the amplitude and velocity of microsaccades, which also correlate with subtests from PHES (Table S4). The best correlations in fixation test were found with subtests measuring mental processing speed (DST) and attention (NCT-A and NCT-B).
Correct saccades and latency in both horizontal and vertical memory-guided tests showed significant correlations with PHES score, and also with DST, NCT-A, NCT-B, and LTT subtests (Fig. 2g–i and Table S5).
Regarding smooth pursuit tests, there were significant correlations of PHES score with total and pursuit mean squared error of position and gain in both modalities of this test (Table S6), and also in sinusoidal smooth pursuit test (Table S7), and with back-up saccades in horizontal smooth pursuit test (Table S6). These parameters also correlated significantly with most PHES subtests.
Finally, in the visually-guided saccades test, there were better correlations with PHES and its subtests in the vertical version of test, mainly in Latency and return latency parameters. SD of latency is the parameter with the best correlations in the horizontal version of this test (Table S8).
Diagnostic capacity of visual tests for MHE
To assess if some parameters from visual tests could serve to diagnose MHE, we performed Receiver operating characteristic (ROC) curves with PHES score as the reference.
In vertical antisaccades test, Latency of reflexive saccades was the best parameter discriminating MHE and NMHE patients, with an AUC (area under ROC curve) of 0.776 (p < 0.0001), followed by the latency (AUC: 0.718; p = 0.01) and the negative error (AUC: 0.698; p = 0.004).
In the memory-guided saccades test, the correct saccades showed an AUC of 0.747 (p = 0.0001) in the horizontal version, and an AUC of 0.789 (p < 0.0001) in the vertical version of the test. Latency in vertical version also showed a significant AUC: 0.715 (p = 0.01).
Discussion
In this study, we performed an exhaustive characterization of eye movements by video electro-oculography (VOG) in patients with liver cirrhosis with or without MHE, and controls. MHE patients showed alterations in the visual tests performed compared to patients without MHE and controls, and most altered parameters correlate with alterations in attention and mental processing speed, measured by psychometric tests.
In recent years, VOG techniques have been gaining relevance as methods for early detection of cognitive and motor dysfunctions in pathologies such as Parkinson’s or Alzheimer’s disease, or multiple sclerosis20,21,22,23. These techniques have already been used to study of both minimal and overt hepatic encephalopathy, and alterations similar to those observed in other pathologies have been reported24,25,26. The current study provides substantial advances in this matter. The development and application of a test battery that can analyse 177 variables from 10 different kinds of eye movements tests in no more than 20 min provides a new level of detail to the detection of the aforementioned alterations, as well as new ways in which VOG can be applied in the clinical research field.
When observed globally, MHE patients show significant alterations that can differentiate them from both healthy individuals and NMHE patients in 56 of the 177 total variables analysed. Only 18 variables can differentiate controls from patients with liver cirrhosis, indicating a clear association of the remaining alterations with neurological impairment.
As the cognitive demand of the test increases, more parameters are altered in MHE and NMHE.
Parameters significantly altered in MHE patients when compared to both NMHE patients and controls are fairly distributed across most tests. Latency is usually affected in most tests. With the exception of the horizontal and vertical smooth pursuit tests, MHE patients have increased latencies when compared to NMHE patients who have increased latencies when compared to controls. This impairment is especially patent in vertical anti-saccades, memory-guided saccades, horizontal visually-guided saccades and sinusoidal smooth pursuit. These results agree with Cunniffe et al.25, who found prolonged saccadic latencies and its variability in cirrhotic patients with covert hepatic encephalopathy (CHE) compared to non-CHE patients, using a visual-guided saccades test in a horizontal version. We also found that latency and its standard deviation were higher in MHE than in NMHE patients, in the visually-guided test. Latency alterations found in MHE suggest impaired processing of visual stimuli and response to them, which causes the delayed response. MHE patients show impaired mental processing speed and attention, which correlate with longer latencies in visual tests.
Other parameters analysed in several tests are those measuring eye movements precision (Positive and Negative error). Significant alterations are consistently found in the anti-saccades tests, where MHE patients show increased errors performed and for the standard deviation of errors. This suggests that MHE patients have greater difficulties to correctly calculate and position their gaze in the opposite position of the presented stimulus, with either excessive or insufficient saccadic movements. The increased standard deviation suggests that such imprecise movements are less consistent during the same test. While NMHE patients or control subjects deviate a consistent distance from the desired position, MHE patients seem to perform both slightly and notably inaccurate saccadic movements. These alterations in error values would reflect impaired accuracy by MHE patients, while the increased standard deviation of such variables would indicate a lack of precision.
This lack of both accuracy and precision does not consistently appear in the memory-guided saccades tests, in which the measured eye movements are similarly directed towards a place with no present stimulus. This discrepancy would mean that, to correctly directing the gaze towards a place with no present stimulus, the recent memory of the presence of such stimulus is sufficient. The task of correctly calculating the mirrored position of a visual stimulus while averting the gaze from the stimulus itself, with no other frame of reference, in the antisaccades task, is quite different and, as the present results suggest, some of the processes involved are impaired in MHE patients. Processes such as inhibitory control and working memory are involved in successful responses in antisaccades test27. These cognitive functions are impaired in patients with MHE7,28,29,30. The active suppression of the predominant saccade towards the target, and the active fixation on the spatial location of the end point of the antisaccade depend mainly on the inhibition system. MHE patients show impaired inhibitory control7,28,29, which could in part account for the alterations found in antisaccades task, given the correlations found between a poor performance in the Stroop test and altered parameters of antisaccades test.
A poor performance in both the anti-saccades tests and the memory-guided saccades tests in MHE patients could be related to impaired mental processing speed and attention, given the correlations with psychometric tests assessing these functions. These impairments would account for the longer latencies observed and for the decreased number of correctly performed eye movements in MHE patients.
MHE patients show a reduced functional connectivity in attention-related networks such as the Default Mode Network, the salience network, and Left Frontoparietal Network31. These brain areas are responsible for attention working memory, and executive control, all necessary for the correct execution of PHES and eye movement tests32,33.
Dorsolateral prefrontal cortex (DLPFC) controls the top-down decisional process determining whether to make a prosaccade by signals to the superior colliculus22. The functional connectivity between precuneus and DLPFC, within the cognitive control network (CCN) was reduced in patients with MHE compared to patients without MHE34. Moreover, we previously showed a reduction of cortical thickness in the precuneus in MHE patients compared with NMHE and control subjects35. Precuneus is primarily involved in visuospatial coordination, higher-order cognitive tasks, and conscious information processing. It is also selectively associated with other parietal areas involved in visuospatial information processing36.
Memory-related eye movements are closely related to hippocampus37. We previously showed structural and functional connectivity disturbances in hippocampal structures in MHE patients38 which could account for their poorer performance in the memory-guided tests.
The smooth pursuit tests provide insight of different processes than the other tests of the battery. In the three test versions there is a clear increase of the mean squared error of position of MHE patients. As previously discussed in other tests, this alteration indicates an overall less accurate gaze positioning in MHE patients when following the stimulus across the visual field. Moreover, the decreased gain and increased number of both catch-up and back-up saccades observed in MHE patients, together with the increased error of position, indicate an impaired capacity to consistently focus the gaze upon the stimulus position to follow its pace across the visual field. Our results agree with Montagnese et al.24 who found alterations in smooth pursuit eye movements in patients with MHE, but unlike these authors, in our study, by using VOG techniques, we were able to quantify and detect significant differences between patients with and without MHE.
Finally, regarding the fixation test, MHE patients show increased BCEA, together with increased standard deviation of the horizontal and vertical coordinates of their gaze focus. Although in this test the objective is to remain focused on an immobile stimulus, these alterations concur with those already discussed for other tests. An increased BCEA indicates that in MHE patients, their gaze is consistently positioned further away from the stimulus than in the other study groups, while the increased standard deviation suggests a less consistent level of error in this positioning. In this test an increase of all involuntary eye movements can be observed, although only the increased number of drifts is significant. Similarly, a significant increase in the amplitude and velocity of micro-saccades was observed. The increased amount and amplitude of involuntary eye movements would be consistent with an impaired ability to inhibit automatic movements.
Concerning the fixation test and the parameters related to the involuntary eye movements performed during it, the increased velocity that MHE patients show for all these movements, significantly higher when measuring the velocity of micro-saccades, is incongruent with the peak of velocity that, although rarely significant, this group shows in all voluntary eye movements of all other tests, in which it is either equal or slightly lower than that observed in NMHE patients and controls. Altogether, this information would suggest that the ability to rapidly transmit motor orders to the eye muscles is not impaired in MHE patients.
It must be also noted that there are parameters that can differentiate both MHE and NMHE patients from healthy individuals. This suggests that the analysis of eye movements can detect the early onset of the cognitive impairment associated with MHE at earlier stages than the PHES battery, which is the diagnostic method currently used. The separation of patients who suffer MHE from those who don’t is not a clear line. Patients may suffer mild impairment of cognitive and motor functions before they can be properly diagnosed with MHE, as supported by the slightly non-significant poorer performance of NMHE patients in many parameters and in the PHES subtests being an indication of this. This suggests that some NMHE patients may already show cognitive impairment and the analysis of eye movements appears to be able to detect this slight impairment. In this sense, we and other groups have reported that the PHES battery leaves an important number of MHE patients undiagnosed28,29,30,39.
In conclusion, the analysis and characterization of the alterations in eye movements observed in MHE patients can serve not only to further understand what cognitive processes are impaired in these patients, but also could help to develop a new, reliable and objective tool that correctly diagnoses patients who suffer from liver cirrhosis in earlier stages of their cognitive impairment to help preventing and reverting this impairment in a more easily and safely way.
Materials and methods
Study population
One hundred and eighteen patients with liver cirrhosis were recruited in the outpatient’s clinics of Hospital Clínico and Hospital Arnau de Vilanova, Valencia, Spain. The diagnosis of liver cirrhosis was based on clinical, biochemical, and ultrasonographic data. Exclusion criteria were overt HE or history of overt HE, recent (< 6 months) alcohol intake, infection, recent (< 6 weeks) antibiotic use or gastrointestinal bleeding, use of drugs affecting cognitive function, hepatocellular carcinoma, or neurological or psychiatric disorder. Thirty-five healthy volunteers were included in the study after discarding liver disease by clinical, analytical, and serologic analysis.
All participants were included after signing a written informed consent. Study protocols were approved by the Scientific and Ethical Committees (No. 2017/291) of Hospitals Clínico and Arnau de Vilanova, Valencia, Spain, and were in accordance with the ethical guidelines of the Helsinki Declaration.
The procedure was as follows: (1) recruitment of patients and controls, collecting written informed consent and analytical data; (2) Neuropsychological assessment and (3) eye movements evaluation. Eye movements were measured less than 1 week after neuropsychological measures.
Neuropsychological assessment
All participants performed the Psychometric Hepatic Encephalopathy Score (PHES) battery, used for diagnosis of MHE. PHES includes five subtests: Digit Symbol test (DST), number connection test A and B (NCT-A and NCT-B), Serial Dotting test (SD), and Line Tracing test (LTT)18,19. The score obtained from each subtest was adjusted for age and educational level using Spanish normality tables (http://www.redeh.org/TEST_phes.htm). Patients were classified as MHE when their score was ≤ − 4 points18.
In order to evaluate selective attention, psychomotor speed, cognitive flexibility and inhibitory mental control, all participants performed the Stroop test, in a colour-word version, performing the congruent, neutral and incongruent tasks, as described in7. The number of items correctly named was adjusted for age according to Spanish normality tables.
Analysis of eye movements
Eye movements were assessed with an OSCANN desk100 equipment from AURA Innovative Robotics (see Fig. S1). OSCANN desk100 is a novel gaze-tracker40 designed for clinical practice use. It is based on VOG technology, and its infrared camera captures images at 100 frames per second. The measurements are made over the dominant eye of the subject (see Supporting information for technical characteristics and software description).
A total of 10 tests were performed in the following order: visually guided saccades test, memory guided saccades test, anti-saccades test, smooth pursuit eye movements, and fixation test (Fig. S2). All tests included a horizontal and a vertical version, with the exception of the smooth pursuit test, which included an additional horizontal version in which the stimulus changes its velocity; and the fixation test. Performing the 10 tests to obtain these 177 parameters takes from 15 to 20 min per subject approximately. Recalibration of the recording camera was performed every 2 or 3 tests to ensure the accuracy of the measurement, and to allow the patient to take a brief break if needed.
The stimulus was a dot 2 cm diameter green dot over a black background. All horizontal versions are performed across the central horizontal axis of the screen, and all vertical versions are performed across the central vertical axis of the screen. The visual field is ± 20° in horizontal and ± 12° in vertical.
In the visually guided saccade tests the stimulus appears in the centre of the screen during 1500 ms and then jumps to a random location on one side of the screen, where it remains the same amount of time (see Fig. S2a). Then, the stimulus appears back in the centre of the screen, and the sequence is repeated. The subject must follow the stimulus. Each version of the test lasts 36 s. Variables measured include response latency when the stimulus moves to a side of the screen (latency), response latency when the stimulus moves back to the centre of the screen (return latency), gain (ratio between stimulus and gaze amplitude), accuracy (hypermetria, identified as positive error, or hypometria, identified as negative error), number of blinks, peak of velocity and anticipated saccades (saccades performed within 80 ms since the stimulus moved) (see Fig. S3a).
In the memory guided saccades tests, the subjects are inquired to remember the position of the stimulus (see Fig. S2b). In this case the stimulus firstly appears in the centre of the screen for 1500 ms, then moves to a random location on one side of the screen and returns back to the centre of the screen, similarly to the visually guided saccade tests. In this initial phase the subject must perform a visually guided saccade towards the places where the stimulus is located. At this point, the stimulus disappears from the screen for another 1500 ms, and the subject must perform a memory guided saccade towards the last side of the screen where the stimulus moved. Each version of this test takes 72 s. The variables analyzed include the same as in the visually guided saccades, as well as the number of correct memory saccades performed.
In the anti-saccades tests the stimulus moves, similarly to the visually guided saccades tests, to a random side of the screen and then back to its centre, repeatedly. However, in these tests the subject must direct their gaze towards the position of the screen opposite of the stimulus, and only look at the stimulus when it is in the centre of the screen (Fig. S2c). Each version of this test takes 36 s. Variables analyzed include latency, velocity and duration of reflexive saccades (saccades automatically performed towards the stimulus instead of away from it), anti-saccade latency and velocity, and accuracy; and number of anticipated, corrected and successful anti-saccades (see Fig. S3b, and Supporting Information).
In the smooth pursuit tests the stimulus moves across the screen with a constant period of 8 s (see Fig. S2d). The subject must follow the stimulus all time. The test lasts 32 s. In this case, a third version of the test was performed, where the stimulus moves horizontally with the same frequency, but its velocity increases and decreases at a constant rate. Latency, number of blinks, catch-up and back-up saccades (saccadic movements performed to go back to the position of the stimulus or keep up with its movement, respectively), square wave jerks (a specific kind of fixation instability), pursuit time, gain, error pursuit, and velocity error are measured in these tests.
In the Fixation test the subject is inquired to look at the immobile stimulus, showed in the centre of the screen (Fig. S2e). This test lasts 20 s. This test measures variables like the number of blinks, the bivariate contour ellipse area (BCEA) and the amplitude, duration, frequency and/or velocity of various kinds of fixation instabilities, which include saccades, micro-saccades, drifts and square-wave jerks.
For many variables, where the final result is averaged from the numerous eye movements performed during the test, a second variable is also generated, which provides information about the standard deviation of the original variable from which it is derived (i.e., latency and standard deviation of latency). A detailed definition of all variables measured in all tests is shown in the Supporting Information.
Statistical analyses
All values are given as mean ± SEM unless otherwise stated. Results were analyzed using one of three options: one-way ANOVA followed by post-hoc Tukey’s multiple comparison test for variables both parametric and homoscedastic, Welch’s ANOVA followed by Games-Howell’s multiple comparison test for variables parametric but not homoscedastic, and Kruskal–Wallis’ test followed by Dunn’s test for non-parametric variables. Due to the number of variables analyzed in this study, P values obtained were corrected using the false discovery rate (FDR) method41. FDR values < 0.05 were considered significant. When analysing the correlation between different variables, Spearman’s correlation test was performed. For all statistical analyses, data were processed and analyzed using the software R version 4.1.142.
Receiver operating characteristic (ROC) curves were performed using SPSS software (version 24.0; SPSS, Inc., Chicago, IL, USA), and two-sided P values < 0.05 were considered significant.
Compliance with ethical standards
This study was performed in line with the principles of the Declaration of Helsinki. Study protocols were approved by the Scientific and Ethical Committees (No. 2017/291) of Hospitals Clinico and Arnau de Vilanova, Valencia, Spain. All participants were included after written informed consent.
Data availability
All data generated or analysed during this study are included in this published article and its Supporting Information file.
References
Vilstrup, H. et al. Hepatic encephalopathy in chronic liver disease: 2014 practice guideline by the American Association for the study of liver diseases and the European Association for the study of the liver. Hepatology 60, 715–735 (2014).
Felipo, V. Hepatic encephalopathy: Effects of liver failure on brain function. Nat. Rev. Neurosci. 14, 851–858 (2013).
Nardone, R. et al. Minimal hepatic encephalopathy: A review. Neurosci. Res. 111, 1–12 (2016).
Amodio, P., Montagnese, S., Gatta, A. & Morgan, M. Y. Characteristics of minimal hepatic encephalopathy. Metab. Brain Dis. 19, 253–267 (2004).
Allampati, S. K. & Mullen, K. D. Understanding the impact of neurologic complications in patients with cirrhosis. SAGE Open Med. 7, 1–8 (2019).
Weissenborn, K., Heidenreich, S., Ennen, J., Rückert, N. & Hecker, H. Attention deficits in minimal hepatic encephalopathy. Metab. Brain Dis. 16, 13–19 (2001).
Felipo, V. et al. Patients with minimal hepatic encephalopathy show impaired mismatch negativity correlating with reduced performance in attention tests. Hepatology 55, 530–539 (2012).
Felipo, V. et al. Non-invasive blood flow measurement in cerebellum detects minimal hepatic encephalopathy earlier than psychometric tests. World J. Gastroenterol. 20, 11815–11825 (2014).
Urios, A. et al. Altered postural control and stability in cirrhotic patients with minimal hepatic encephalopathy correlate with cognitive deficits. Liver Int. 37, 1013–1022 (2017).
Román, E. et al. Minimal hepatic encephalopathy is associated with falls. Am. J. Gastroenterol. 106, 476–482 (2011).
Bajaj, J. S. et al. Minimal hepatic encephalopathy is associated with motor vehicle crashes: The reality beyond the driving test. Hepatology 50, 1175–1183 (2009).
Felipo, V. et al. Serum nitrotyrosine and psychometric tests as indicators of impaired fitness to drive in cirrhotic patients with minimal hepatic encephalopathy. Liver Int. 33, 1478–1489 (2013).
Ridola, L., Nardelli, S., Gioia, S. & Riggio, O. Quality of life in patients with minimal hepatic encephalopathy. World J. Gastroenterol. 24, 5446–5453 (2018).
Romero-Gómez, M., Boza, F., García-Valdecasas, M. S., García, E. & Aguilar-Reina, J. Subclinical hepatic encephalopathy predicts the development of overt hepatic encephalopathy. Am. J. Gastroenterol. 96, 2718–2723 (2001).
Poordad, F. F. Review article: The burden of hepatic encephalopathy. Aliment. Pharmacol. Ther. Suppl 1, 3–9 (2007).
Patidar, K. R. & Bajaj, J. S. Covert and overt hepatic encephalopathy: Diagnosis and management. Clin. Gastroenterol. Hepatol. 13, 2048–2061 (2015).
Duarte-Rojo, A. et al. Diagnosis of covert hepatic encephalopathy: A multi-center study testing the utility of single versus combined testing. Metab. Brain Dis. 34, 289–295 (2019).
Weissenborn, K., Ennen, J. C., Schomerus, H., Rückert, N. & Hecker, H. Neuropsychological characterization of hepatic encephalopathy. J. Hepatol. 34, 768–773 (2001).
Ferenci, P. et al. Hepatic encephalopathy—Definition, nomenclature, diagnosis and quantification: Final report of the working party at the 11th World Congresses of Gastroenterology, Vienna, 1998. Hepatology 35, 716–721 (2002).
Ouerfelli-Ethier, J. et al. Anti-saccades predict cognitive functions in older adults and patients with Parkinson’s disease. PLoS ONE 13, e0207589 (2018).
Clough, M. et al. Multiple sclerosis: Executive dysfunction, task switching and the role of attention. Mult. Scler. J. Exp. Transl. Clin. 4, 2055217318771781 (2018).
Molitor, R. J., Ko, P. C. & Ally, B. A. Eye movements in Alzheimer’s disease. J. Alzheimers Dis. 44, 1–12 (2015).
Chehrehnegar, N. et al. Behavioral and cognitive markers of mild cognitive impairment: Diagnostic value of saccadic eye movements and Simon task. Aging Clin. Exp. Res. 31, 1591–1600 (2019).
Montagnese, S. et al. Disruption of smooth pursuit eye movements in cirrhosis: Relationship to hepatic encephalopathy and its treatment. Hepatology 42, 772–781 (2005).
Cunniffe, N. et al. Using saccades to diagnose covert hepatic encephalopathy. Metab. Brain Dis. 30, 821–828 (2015).
Krismer, F. et al. Saccadic latency in hepatic encephalopathy: A pilot study. Metab. Brain Dis. 25, 285–295 (2010).
Crawford, T. J., Parker, E., Solis-Trapala, I. & Mayes, J. Is the relationship of prosaccade reaction times and antisaccade errors mediated by working memory?. Exp. Brain Res. 208, 385–397 (2011).
Giménez-Garzó, C. et al. The PHES battery does not detect all cirrhotic patients with early neurological deficits, which are different in different patients. PLoS ONE 12, e0171211 (2017).
Bajaj, J. S. et al. The Stroop smartphone application is a short and valid method to screen for minimal hepatic encephalopathy. Hepatology 58, 1122–1132 (2013).
Liao, L. M., Zhou, L. X., Le, H. B., Yin, J. J. & Ma, S. H. Spatial working memory dysfunction in minimal hepatic encephalopathy: An ethology and BOLD-fMRI study. Brain Res. 1445, 62–72 (2012).
García-García, R. et al. Reduced resting state connectivity and gray matter volume correlate with cognitive impairment in minimal hepatic encephalopathy. PLoS ONE 12, e0186463 (2017).
Heuer, H. W. et al. Antisaccade task reflects cortical involvement in mild cognitive impairment. Neurology 81, 1235–1243 (2013).
Crawford, T. J., Smith, E. S. & Berry, D. M. Eye gaze and aging: Selective and combined effects of working memory and inhibitory control. Front. Hum. Neurosci. 11, 563 (2017).
Tsai, C. F. et al. Altered cognitive control network is related to psychometric and biochemical profiles in covert hepatic encephalopathy. Sci. Rep. 9, 6580 (2019).
Montoliu, C. et al. Focal cortical damage parallels cognitive impairment in minimal hepatic encephalopathy. Neuroimage 61, 1165–1175 (2012).
Cavanna, A. E. & Trimble, M. R. The precuneus: A review of its functional anatomy and behavioural correlates. Brain 129, 564–583 (2006).
Hannula, D. E. & Ranganath, C. The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron 63, 592–599 (2009).
García-García, R. et al. Learning and memory impairments in patients with minimal hepatic encephalopathy are associated with structural and functional connectivity alterations in hippocampus. Sci. Rep. 8, 9664 (2018).
Butz, M. et al. Motor impairment in liver cirrhosis without and with minimal hepatic encephalopathy. Acta Neurol. Scand. 122, 27–35 (2010).
Hernández, E., Hernández, S., Molina, D., Acebrón, R. & García-Cena, C. E. OSCANN: Technical characterization of a novel gaze tracking analyzer. Sensors. 18, 522 (2018).
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. R. Statist. Soc. B. 57, 289–300 (1995).
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021).
Acknowledgements
This work was supported by Ministerio de Ciencia e Innovación—Instituto de Salud Carlos III (FIS PI18/00150) to CM; Ministerio de Ciencia e Innovación (SAF2017-82917R) to VF; Consellería Educación Generalitat Valenciana (PROMETEOII/2014/033 and PROMETEU/2018/051 to VF and to CM), co-funded with European Regional Development Funds (ERDF). AF, JG and FCF have pre-doctoral contracts from Generalitat Valenciana (GRISOLIAP/2019/003; ACIF/2018/284, ACIF/2019/232), Fundación Ramón Areces to CM. MPB has a Rio-Hortega contract from Instituto de Salud Carlos III (CM19/00011). Consolidacion Cadena Valor, Generalitat Valenciana, Agencia Valenciana de Innovación (2021/246). These funders had no role in study design, data collection and analysis, and interpretation of data. AURA Robotics provided the equipment and a small amount of funding and contributed to data collection and analysis.
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F.C.F., data collection, statistical analysis, and drafting of the manuscript; C.E.G.C., study concept and design, mathematical characterization of ocular movement variables, data collection, interpretation of data, study supervision, and critical revision of the manuscript; J.J.G., A.F., data collection and analysis; A.U., data collection, statistical analysis, and drafting of the manuscript; A.C.C., data collection, statistical analysis, and technical support; M.P.B.F., D.E.G., M.P.R., L.D., patients’ recruitment, data collection and analysis, and critical revision of the manuscript; F.G., M.R.H., statistical analysis, interpretation of data, and critical revision of the manuscript; V.F., and C.M., study concept and design, interpretation of data, study supervision, obtaining funding, and drafting the manuscript. All authors approved the final version of the manuscript.
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Casanova-Ferrer, F., García-Cena, C.E., Gallego, JJ. et al. Minimal hepatic encephalopathy is associated to alterations in eye movements. Sci Rep 12, 16837 (2022). https://doi.org/10.1038/s41598-022-21230-3
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DOI: https://doi.org/10.1038/s41598-022-21230-3
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