Abstract
Brain edema is a common feature associated with hepatic encephalopathy (HE). In patients with acute HE, brain edema has been shown to play a crucial role in the associated neurological deterioration. In chronic HE, advanced magnetic resonance imaging (MRI) techniques have demonstrated that low-grade brain edema appears also to be an important pathological feature. This review explores the different methods used to measure brain edema ex vivo and in vivo in animal models and in humans with chronic HE. In addition, an in-depth description of the main studies performed to date is provided. The role of brain edema in the neurological alterations linked to HE and whether HE and brain edema are the manifestations of the same pathophysiological mechanism or two different cerebral manifestations of brain dysfunction in liver disease are still under debate. In vivo MRI/magnetic resonance spectroscopy studies have allowed insight into the development of brain edema in chronic HE. However, additional in vivo longitudinal and multiparametric/multimodal studies are required (in humans and animal models) to elucidate the relationship between liver function, brain metabolic changes, cellular changes, cell swelling, and neurological manifestations in chronic HE.
Keywords: brain edema, chronic hepatic encephalopathy, in vivo magnetic resonance imaging, in vivo magnetic resonance spectroscopy, liver cirrhosis
Abbreviations: ADC, apparent diffusion coefficient; ALF, acute liver failure; AQP, aquaporins; BBB, blood-brain barrier; BDL, bile duct ligation; CNS, central nervous system; Cr, creatine; CSF, cerebrospinal fluid; DTI, diffusion tensor imaging; DWI, diffusion-weighted imaging; FLAIR, fluid-attenuated inversion recovery; Gln, glutamine; Glx, sum of glutamine and glutamate; GM, gray matter; HE, hepatic encephalopathy; 1H MRS, proton magnetic resonance spectroscopy; Ins, inositol; Lac, lactate; LPS, lipopolysaccharide; MD, mean diffusivity; mIns, myo-inositol; MRI, magnetic resonance imaging; MRS, magnetic resonance spectroscopy; MT, magnetization transfer; MTR, MT ratio; NMR, nuclear magnetic resonance; PCA, portocaval anastomosis; tCr, total creatine; tCho, total choline; TE, echo time; WM, white matter
Brain edema is defined as an excessive accumulation of fluid (chiefly water) in the intracellular or extracellular spaces of the brain, which occurs on the background of an osmotic gradient. The pathological process is a complex phenomenon to measure and characterize, because it can be the result or effect of a certain disease or cerebral injury, but can also cause pathology or aggravate an existing disease process. The measurement of brain edema can be used to aid diagnosis and/or to measure targeted treatment effects. It is now well accepted that brain edema is a common feature associated with hepatic encephalopathy (HE).
Net fluid entry to the brain from the vascular compartment (vasogenic edema) increases the brain volume, raises intracranial pressure, and potentially leads to fatal brainstem compression in the most severe, acute form.1 Vasogenic edema mainly occurs because of a breakdown of the tight endothelial junctions that make up the blood-brain barrier (BBB),2 while a disruption in cellular metabolism impairs functioning of the sodium and potassium pump in the glial cell membrane and causes accumulation of osmotically active molecules, leading to cellular retention of sodium and water and consequently to cytotoxic edema.2, 3, 4 Although cytotoxic edema refers to intracellular swelling (an isolated fluid shift from the interstitial to the intracellular, cytosolic compartment with no net fluid entry to the brain), it can also occur following an increase in permeability (not physical breakdown) of the BBB. It is not unreasonable to assume that this pathological process is accompanied by some degree of net brain edema.1, 2 This astrocytic swelling, accompanied by a shift of fluid from the interstitial/intravascular compartment to the intracellular (astrocytic) compartment, can lead to detrimental effects. The molecular mechanisms leading to astrocyte swelling are not yet fully understood and are believed to be linked with osmo-sensitive or stretch-sensitive intracellular signaling cascades, involving [Ca2+]i transients, aquaporins (AQPs) and volume-regulated anion channels.5, 6, 7 Astrocytes have a strategic perivascular location and high water permeability, and therefore their membrane is believed to be the main source of water entry in the brain.1 Moreover, water transport is the primary function of the main AQPs (plasma membrane water-transporting proteins) in the central nervous system (CNS). AQP-4 is expressed in astrocytic feet, lining the microcapillary endothelial cells of the BBB, and it is involved in water movement, cell volume regulation, cell migration, and neuroexcitation.6, 8 Accordingly, increased expression of AQP-4 has been shown to correlate with the development of brain edema in several diseases.1, 6
Pathologically speaking, HE is characterized by astrocyte swelling, leading to brain edema. In acute HE (encephalopathy associated with acute liver failure [ALF]9), brain edema occurs in the majority of patients to some degree and contributes to increased intracranial pressure, which can lead to brainstem herniation in the most severe cases.10, 11, 12, 13 In chronic HE (encephalopathy associated with cirrhosis and portal hypertension/or portal-systemic shunts9), magnetic resonance imaging (MRI) techniques have demonstrated that low-grade brain edema appears also to be an important pathological feature, even though intracranial hypertension is rarely observed2, 14, 15, 16, 17, 18, 19 (for more details please see Table 1, Table 2, Table 3). Edema in acute HE is believed to be mainly cytotoxic,10, 11 whereas in chronic HE, low-grade edema is also associated with Alzheimer type II changes as a morphological counterpart of astrocyte swelling.20 It is important to emphasize that labeling a particular case of edema as “vasogenic” or “cytotoxic” cannot be rigidly applied, since it is unusual for only one of the two mechanisms to exist in isolation.21 Overall, one type of edema will gradually lead to the development of the other type. This is also the case in HE where the two types of edema might coexist.2, 22 Nevertheless, knowledge of the relative contribution of these two mechanisms in the various phases of edema development might be useful in understanding the dynamics of brain edema and theoretically, in designing useful means of clinical management.
Table 1.
Animal model | Subjects (n) | Method | Brain region | Type of measurement | Findings |
Comments | Ref | ||
---|---|---|---|---|---|---|---|---|---|
Edema | Type of edema Cell type | Other | |||||||
BDL rats Sham rats |
8 9 8-10 |
Gravimetry, 3 weeks post-BDL GFAP staining HPLC – osmolytes Behavior studies |
CC, 2mm2 FC, PC |
Ex-vivo, end point Ex-vivo, end point Ex-vivo, end point |
Direct, absolute assessment of water content Indirect indication |
N/A Direct evidence, astrocytes |
No change in water content = 79.73±0.12% No changes in GFAP staining in BDL rats Minor and non-significant changes in brain Gln and Ins |
No change in plasma and brain ammonia (122±70 μmol/L in plasma and 0.29±0.18μmol/g in brain of BDL) Mild impairment of motor coordination and a ↓spontaneous motor activity in BDL rats LPS: ↑brain water content and Alzheimer type II astrocytes |
133 |
BDL rats Sham rats |
7 6 |
Gravimetry, 4 weeks post-BDL Ex-vivo1H MRS, no information on quantification Electron microscopy Assessment of level of consciousness |
FC, CC – 2mm2 |
Ex-vivo, end point Ex-vivo, end point Ex-vivo, end point |
Direct, absolute assessment of water content |
N/A Direct evidence- cytotoxic edema, astrocytes |
No change in water content = 79.9±0.27% ↓ Gln, NAA Partially collapsed microvessel Intact BBB |
↑ plasma (168±14μmol/L) and brain (1.0±0.36μmol/g) ammonia No neurological modifications in BDL rats Among the very few reports showing a↓Gln Minimal water accumulation in astrocytic, perivascular tissue LPS injection ↑brain water content and lead to a deterioration of tin the conscious level |
26 |
BDL rats Sham rats |
6 6 |
Gravimetry, 6 weeks post-BDL Locomotor activity |
FC, 2mm3 | Ex-vivo, end point | Direct, absolute assessment of water content | N/A |
↑water content = 79.46±0.28% (BDL) vs 78.35±0.17% (sham) Allopurinol treatment decreased arterial ROS and brain edema but did not improve liver function nor fully restored locomotor activity-edema is not the only cause of HE |
↑ arterial (119.7±15.2μM) and CSF (128.4±36.7μM) ammonia HA does not induce OS independently nor brain edema In combination systemic OS and HA stimulate an ↑water content Systemic OS is a result of primary liver injury |
24 |
BDL rats Sham rats |
7 6 |
Gravimetry, 6 weeks post-BDL | FC, 1mm3 | Ex-vivo, end point | Direct, absolute assessment of water content | N/A |
-no significant change in water content between BDL and sham rats |
Exact water content difficult to assess from the graph = 81.5-82.5% (BDL) LPS injection ↑brain water content |
25 |
BDL rats Sham rats |
No indication on number of rats was found | Gravimetry, 6 weeks post-BDL Ex vivo1H MRS, no information on quantification Ex vivo fluorescence |
FC |
Ex-vivo, end point Ex-vivo, end point |
Direct, absolute assessment of water content | N/A |
↑water content ↑Gln, Glu, Tau ↓Ins ↑sum of osmolytes ↑brain Lac, ↑CSF ammonia AST-120 and DCA treatments ↓ brain edema, Lac but not brain Gln Only AST-120 ↓ CSF ammonia |
Exact water content was difficult to assess from the graph = 78-79% (BDL) Correlations: No correlation between CSF ammonia and brain Gln Correlation between CSF ammonia and brain Lac ↑brain Lac and not Gln is a key factor in pathogenesis of brain edema together with impaired compensatory osmoregulatory mechanisms |
95 |
BDL rats Sham rats |
6 groups (6/group) 3 groups (6/group) |
Dry weight technique, 4 weeks post-BDL Assessment of level of consciousness |
50 mm2 wet FC |
Ex-vivo, end point |
Direct, absolute assessment of water content | N/A |
No change in water content in BDL rats ↑water content in shams +HD and shams+LPS ↑water content in BDL+HD and BDL+HD+LPS ↓ water content after administration of OP and OP + infliximab |
↑arterial and brain ammonia in HD and BDL rats; and ↓ after OP (±infliximab) ↓arterial ammonia with OP may prevent LPS induced worsening of HE and brain edema. Exact values of water content and ammonia were difficult to assess from the graphs |
134 |
BDL rats Sham rats |
9 groups (6-8/group) 2 groups (7/group) |
Dry weight technique, 4 weeks post-BDL Ex vivo1H MRS, no information on quantification |
50 mm2 wet FC (GM) |
Ex-vivo, end point | Direct, absolute assessment of water content | N/A |
↑plasma ammonia in BDL rats (67±6 to 186±20 μmol/L) ↑water content in BDL rats No change in brain Gln in BDL rats ↓ brain mIns in BDL rats OP treatment: ↓brain water content and plasma ammonia, no change in brain Gln or mIns, |
Exact values of water content were difficult to assess from the graphs (∼76% in Shams and ∼78% in BDL) | 135 |
Abbreviations: Frontal cortex (FC), Cerebral cortex (CC), parietal cortex (PC), gray matter (GM), oxidative stress (OS), reactive oxygen species (ROS), blood brain barrier (BBB), hepatic encephalopathy (HE), cerebrospinal fluid (CSF), lactate (Lac), glutamine (Gln), taurine (Tau), inositol (Ins), myo-inositol (mIns), glutamate (Glu), lipopolysaccharide (LPS), hyperammonemia (HA), glial fibrillary acidic protein (GFAP), bile duct ligation (BDL), ornithine phenylacetate (OP), oral ammonia absorbent engineered activated carbon microspheres (AST-120), dichloroacetate (DCA), proton magnetic resonance spectroscopy (1H MRS), high protein/ammoniagenic diet (HD). Authors personal comments are in italics in the comments row.
Table 2.
Animal model | Subjects (n) | Magnetic Field (B0) | Method | Brain region | Type of measurement | Findings |
Comments | Ref | ||
---|---|---|---|---|---|---|---|---|---|---|
Edema | Type of edema Cell type | Other | ||||||||
BDL rats Sham rats |
8 6 |
7T |
1H MRS, PRESS, TE=12ms 7 metabolites quantified using LCModel, absolute quantification using water as internal reference DTI, 20 directions and 4 b-values (0-1000 s/mm2) |
6.5x6.5x6.5mm3 - No brain region specific VC, SC, MC, Hip, Tha, HypoT, Str, NC |
In vivo Longitudinal @ 4, 5, 6 weeks post-BDL |
Indirect indication In LPS – indication of intra and extra cellular edema supported by no changes in ADC |
N/A |
↑Gln ↓Glu, tCho, tCr, NAA and Ins No change in Lac -No difference in ADC values between BDL and sham operated rats and neither in water content using gravimetry (Table 1) |
Statistical changes are between-group over the entire time course with LPS injections as last time point and not by individual time points LPS injection ↑water content in brain (gravimetry-Table 1) |
25 |
BDL rats | 7 | 9.4T |
1H MRS, SPECIAL, TE=2.8ms 18 metabolites quantified using LCModel, absolute quantification using water as internal reference Changes post-BDL always compared to those before BDL (week 0) |
4x7.5x6.5mm3 - No brain region specific | In vivo – longitudinal @ 0, 4, 8 weeks post-BDL | Indirect indication |
N/A |
↑Gln and plasma NH4+ post-BDL ↓Ins, tCho @ 8 weeks post-BDL ↓Glu, Asp @ 8 weeks post-BDL ↑Sum of main brain organic osmolytes @ 8 weeks post-BDL |
Positive correlation between brain Gln and plasma NH4+ Brain Gln showed stronger correlations than plasma NH4+ with the rest of metabolites |
96 |
Abbreviations: visual cortex (VC), sensorimotor cortex (SC), motor cortex (MC), hippocampus (Hip), thalamus (Tha), hypothalamus (HypoT), striatum (Str), nucleus accumbens (NC), lactate (Lac), glutamine (Gln), taurine (Tau), inositol (Ins), glutamate (Glu), total choline (tCho), total creatine (tCr), N-Acetylaspartate (NAA), aspartate (Asp), lipopolysaccharide (LPS), bile duct ligation (BDL), diffusion tensor imaging (DTI), proton magnetic resonance spectroscopy (1H MRS), apparent diffusion coefficient (ADC), SPin ECho, full Intensity Acquired Localized (SPECIAL), point resolved spectroscopy (PRESS), echo time (TE). Authors personal comments are in italics in the comments row.
Table 3.
HE type | Subjects (n) | Magnetic Field (B0) | Method | Brain region | Type of measurement | Findings |
Comments | Ref | ||
---|---|---|---|---|---|---|---|---|---|---|
Edema measurement | Type of edema Cell type | Other | ||||||||
Liver cirrhosis of different origins HE I+HE II =overt HE |
13-HE-0 12-MHE 10-HE I 3-HE II |
1.5T | Fast absolute measurement of cerebral water content, TAPIR – T1 measure QUTE – quantitative T2∗ image Psychometric testing |
Pu, CR, OWM, FWM, OC, FC, Tha, GP, CN, AL, PL |
In vivo - Single point |
Direct, absolute assessment of water content (%) | N/A |
-↑0.4% water in HE-0, ↑0.8% in MHE, ↑2.1% in overt HE – WM (FWM, OWM) -No significant water content changes in GM, however 1.9%↑ in GP for overt HE |
Correlation between CFF and WM water content | 34 |
Mild chronic HE Controls |
3 7 |
1.5T | 1H MRS, STEAM, TE=30ms, quantification of 5 metabolites using the scanner data analysis package and ratios to tCr | Midparietal cortex, WM+GM, 12.5-27cm3 |
In vivo - Single point |
N/A | N/A | -trend of ↑Gln and ↓Cho and Ins |
-no statistics due to small number of patients | 136 |
Liver cirrhosis of different origins Controls |
5-no HE 10-mHE 11-overt HE 14 |
1.5T | T1 weighted images 2D CSI, TE=130ms quantification of 3 metabolites using ratios to Cr Psychometric and EEG testing |
BG, temporal and occipital cortex |
In vivo - Single point |
N/A | N/A | - ↑Glx/Cr and ↓tCho/Cr in patients - no change in NAA/Cr - stronger ↑Glx/Cr in BG - stronger ↓tCho/Cr in occipital cortex |
- patients with no HE – normal spectra - patients with overt HE – abnormal spectra |
137 |
Liver cirrhosis of different origins |
4-no HE 7-mHE 15-overt HE |
1T | T1 weighted SE images T1 weighted MT images |
BG |
In vivo - Single point |
N/A | N/A | Hyperintensity of GP in 17 patients, and a difference between noHE vs mHE vs overt HE Hyperintensity of Pu in 5 patients |
Relationship between T1 contrast in GP and blood ammonia | 138 |
Liver cirrhosis of different origins Controls |
24-no HE 4-mHE 4-HE I 6-HE II 1-HE IV 20 |
2T | Routine T1 and T2 weighted images 1H MRS, PRESS, TE=30ms, quantification of 4 metabolites using a Marquardt curve-fitting algorithm and ratios to Cr Neuropsychological tests |
PWM, OGM (2.5cm)3 |
In vivo - Single point |
Indirect indication based on ↓mIns/Cr and ↑Gln/Cr | assumption -Astrocytes swelling |
Asymptomatic (no HE) patients GM: -↓mIns/Cr Subclinical (mHE), overt HE(HE I-IV) GM: -↓mIns/Cr, ↑Gln/Cr -↑NAA/Cr only in over HE Asymptomatic and subclinical HE WM: -↓mIns/Cr Overt HE (HE I-IV) WM: -↓mIns/Cr, ↑Gln/Cr, ↓tCho/Cr |
Correlation between Gln in GM and plasma ammonium (r=0.62) No MRS differences between no HE and mHE MRS differences between mHE and overt HE ↑Gln and ↓mIns with HE grade |
139 |
Liver cirrhosis of different origins Controls |
8-HE 0 7-HE I 2-HE II 13 |
1.5T |
1H MRS, STEAM, TE=30ms, quantification of 4 metabolites using peak integration and ratios to Cr Neuropsychological tests |
PWM, 18ml | In vivo and longitudinal: 30-60 days after LT or 2weeks after a low protein diet | N/A |
N/A |
-↓mIns/Cr and tCho/Cr in HE - no change in Glx/Cr - no MRS changes observed with diet - no MRS changes 30-60 days after LT |
Correlations: mins/Cr and ammonia with the neuropsychological data | 140 |
Liver cirrhosis of different origins | 6-mHE 3-overt HE |
1T | Coregistered 3D T1 weighted images Semiautomated contour and thresholding program Neuropsychological tests, EEG |
whole brain and ventricles | In vivo , longitudinal: 6weeks after lactulose (n=7), before and 24h after TIPSS | Indirect indication of low-grade brain swelling | N/A |
No structural abnormalities on T1 weighted images Change in brain and ventricular size after treatment: ↓brain, ↑ventricles and improved psychometric testing (n=3); ↑brain, ↓ventricles and worsen psychometric testing (n=2) |
Blood ammonia (66-98 μmol/L - mHE; 85-130 μmol/L- overt HE) No correlations between MRI, HE and liver function |
88 |
Liver cirrhosis of different origins Controls MHE |
24-MHE 5-no HE 5-HE I 5-HE II 18 10 |
1.5T | DTI, single shot EPI dual SE sequence, b-value of 1000 s/mm2, 10 directions, MD and FA measured Neuropsychological tests |
CC, RIC, LIC, CN, Pu, FWM, OWM |
In vivo Longitudinal: 3weeks after lactulose in 10 MHE and 10 controls |
Indirect indication ↑MD suggestive of ↑interstitial brain water |
Assumption | No HE - ↑MD in CN MHE - ↑MD in CC, RIC, LIC, CN HE - ↑MD in CC, RIC, LIC, CN, Pu, FWM, OWM -no changes in FA - ↓MD in MHE after lactulose treatment and no change in FA |
MD ↑ from no HE to gr 2 HE- suggestive of increased water with HE grades Correlations between NP and MD in CC, RIC. Correlations between NP and MD in CC. Extracellular migration of macromolecules during the cellular osmoregulatory response may result in ↑ acculmulation of extracellular fluid |
29 |
Viral liver cirrhosis Controls |
7 –no HE 6-HE I 1-HE II 12 |
1.5T | DWI, b-values:0, 300, 600,900 s/mm2 | CN, Pu, GP, OWM, FWM, PWM, Tha |
In vivo - Single point |
Indirect indication of cytotoxic brain edema | Assumption |
↑ADC in all brain regions except Tha Patient with HE II showed the highest ADC values No differences in ADC between no-HE and HE I Ammonia and related Gln accumulation might contribute to changes in water motility and content |
Correlation between venous ammonia and ADC values in deep gray and WM regions, except CN An increase in cell volume reduces the influence of restriction effects on intracellular diffusion pathways leading to ↑ADC |
64 |
Liver cirrhosis of different origins | 9-HE 0 6-mHE 6-HE I |
1.5T | T1 weighted images 1H MRS, STEAM, TE=18ms, quantification of 5 metabolites using peak integration and ratios to Cr 13N –ammonia and FDG PET Psychometric examination |
BG, PWM, FGM, 8cm3 |
In vivo - Single point |
N/A | N/A | MRS changes significant if patients divided into Child classes but not in HE classes -↓mIns/Cr in all 3 brain regions from Child A to C -↓tCho/Cr in BG, GM from Child A to C -↑Glx/Cr in BG, WM from Child A to C -↑NAA/Cr in WM from Child A to C |
No controls Correlations: -psychometric HE score with Glx/Cr in BG -venous plasma ammonia with MRS in WM -cerebral glucose utilization with mIns/Cr |
141 |
Liver cirrhosis of different origins |
27 |
1.5T | T2 weighted, FSE Fast FLAIR images Neurologic assessment |
WM |
In vivo, longitudinal: before and after LT | Indirect indication of brain edema | N/A | -focal lesions were identified on the T2 weighted images before LT compatible with small-vessel brain disease in 19 patients - after LT (6-14 months)– average of 21.7% decrease of Wm lesion volumes |
No association between WM lesion, age, cause of cirrhosis, Child-Pugh score or laboratory findings Correlation: WM lesions and percent improvement in overall cognitive function |
90 |
Cirrhotic patients with HE | 3 | No detail | FLAIR images | WM | In vivo, longitudinal | Indirect indication of brain edema | N/A | -supratentorial focal and diffuse WM lesions compatible with small-vessel brain disease which reduced with improvement of HE | - these changes were associated with brain edema and support the participation of BBB in the pathogenesis of brain edema in HE | 89 |
Liver cirrhosis of different origins Controls |
20-no HE 10-mHE 24 |
1.5T | DWI, single shot EPI sequence Neuropsychological tests |
Pu, GP, Tha, posterior cingulate GM, FWM, PWM |
In vivo - Single point |
Indirect indication of minimal cellular edema | -↑ ADC in mHE in WM compared to no HE -no difference in noHE compared to controls for ADC values |
Correlations: ADC in WM with venous ammonia; ADC in WM and neuropsychological tests minimal cellular edema with an increase of membrane permeability and increased intracellular diffusivity, as well as changes in the viscosity of the cytoplasm |
65 | |
Liver cirrhosis of different origins Controls |
33-mHE 30 |
1.5T | Proton density, T2 weighted images T1 weighted images, MPRAGE sequence 1H MRS, 2D L-COS, TE=30ms, quantification of 13 metabolites using Felix NMR software and ratios to Cr Neuropsychological tests |
GP Occipital and prefrontal lobe, 27cm3 |
In vivo - Single point |
N/A | N/A | -↑GP signal intensity -↑Glx/Cr in both brain regions -↓mICh/Cr, mIns/Cr and Ch_d/Cr in both brain regions |
Correlations between NP tests and MRS ratios mICh – most discriminant variable |
142 |
Liver cirrhosis and overt HE Controls |
41 16 |
1.5T | T2 weighted, FSE T1 weighted, SE DTI, single shot EPI sequence, 6 noncollinear directions, 11b-values (0-7500s/mm2), mono and bi-exponential fitting Neuropsychological tests |
PWM, corticospinal tract |
In vivo, longitudinal: before and 1 year after LT (n=24) | Indirect indication of increased brain water content based on ↑MD | assumption interstitial edema |
-↑MD for fast diffusion in PWM which returned to normal after LT -↓FA that increased after LT -↑MD for fast and slow diffusion in corticospinal tract, only fast MD returned to normal after LT -↓ fast FA in corticospinal tract with a persistent decrease after LT |
- edema is reversible after LT but some microstructural changes might persist along the corticospinal tract as suggested by evolution of FA - extracellular edema - PWM - mixed edema -corticospinal tract No association between DTI parameters and neuropsychological tests |
22 |
Viral cirrhosis Controls |
28 28 |
3T | 3D FLAIR sequence Brain volume, vertex based shape analysis – FIRST/FSL software Total intracranial volume – Gaser’s VBM5 toolbox with SPM5 Neuropsychological tests |
DGM (NC, Amy, CN, Hip, GP, Pu, Tha) |
In vivo, single point | N/A | N/A |
↓ volume in CN and Pu - a smaller volume was proportional to the severity of the disease -shape alteration in Pu, CN and GP |
Correlations: decreased DGM volume with poorer cognitive results | 47 |
Multiparametric studies / Multimodal studies | ||||||||||
Non-alcoholic cirrhosis Controls |
24 (16 with mHE) 8 |
1.5T | T2 weighted, FSE T1 weighted, IR SE MT, 2D GE 1H MRS, STEAM, TE=20ms, quantification of 5 metabolites using AMARES and ratios to tCr Neuropsychological tests |
PWM; FWM Parietal WM, 8cm3 |
In vivo, single point | Indirect indication of low grade intracellular swelling (↑ water content) based on ↓MTR | assumption |
No changes in T2 weighted images ↑T1 signal intensity in BG and GP index ↓MTR in PWM and FWM ↑Glx/Cr in mHE only in PWM ↓mIns/Cr and Cho/Cr in all patients in PWM No changes in NAA/Cr |
Correlations: MTR with Glx/Cr; MTR with GP index | 56 |
Nalc cirrhosis without overt HE (70% mHE) After LT Controls |
24 11 10 |
1.5T | T2 weighted, FSE T1 weighted, IR SE MT, 2D GE 1H MRS, STEAM, TE=20ms, quantification of 5 metabolites using AMARES and ratios to Cr Neuropsychological tests |
PWM; FWM Parieto-occipital WM, 8cm3 |
In vivo Longitudinal: before and after LT at 1 month and 1 year |
Indirect indication of low grade edema (↑ water content) based on ↓MTR | N/A | No changes in T2 weighted images ↑T1 signal intensity in BG ↓MTR in PWM and FWM ↑Glx/Cr in mHE only ↓mIns/Cr and Cho/Cr in all patients No changes in NAA/Cr After LT: improvement in MTR; normalization of 1H MRS findings with a lower normalization for mIns/Cr; slower normalization of T1 hyperintensity in GP; neuropsychological impairment showed a rapid improvement |
Correlations between MTR and Glx/Cr and plasma osmolarity Glx/Cr and mIns/Cr correlated with liver and neuropsychological function No correlation between MTR and neuropsychological function Low grade edema and mHE are associated with ↑Gln –manifestations of metabolism of ammonia |
57 |
PBC stage I-II PBS stage III-IV Controls |
14 4 11 |
1.5T | SE proton density image MT 1H MRS, PRESS, TE=135ms, quantification of 3 metabolites using the scanner software (Philips) |
GP, CN, Pu, Tha, FWM 8cm3, in BG and WM |
In vivo - Single point |
N/A | N/A |
↓MTR in GP No changes in 1H MRS |
Correlations between MTR and fatigue and MTR and blood manganese MTR changes are not a consequence of HE but rather of altered manganese homeostasis |
143 |
Liver cirrhosis Alcoholics Nonalcoholics Controls |
26 16 18 |
1.5T |
1H MRS, STEAM, TE=20ms, 5 metabolites quantified using LCModel and ratios to Cr MT, 2D GE images DWI, single shot SE EPI, b-values: 0-500-1000 s/mm2, 3 directions Neuropsychologic examination |
Left OWM and BG, 8cm3 Tha, pons, OWM, GP, Pu, CN Tha, pons, OWM |
In vivo-single point | Indirect indication of ↑water content based on ↓MTR | N/A |
Nalc group in BG: ↓mIns/Cr, Cho/Cr and ↑Glx/Cr Nalc group in OWM: ↓mIns/Cr and ↑Glx/Cr, NAA/Cr Alc group in BG: ↓mIns/Cr, Cho/Cr and ↑Glx/Cr Alc group in OWM: ↓mIns/Cr and ↑Glx/Cr MRS changes were significant for overt HE and similar in GM and WM ↓ MTR in both groups No change in ADC only a small trend of ↑ with increasing HE |
Correlations in Nalc: mIns/Cr and Glx/Cr with HE in both regions and MTR with HE Other correlations are presented No correlations in Alc group MR differences between Alc and Nalc –possible microstructural lesions due to chronic alcohol abuse |
144 |
Liver cirrhosis of different causes and overt HE Liver cirrhosis without overt HE Controls |
24-overt HE 9 9 |
1.5T | DWI, b-values: 0-500-1000 s/mm2 MT, 3D GE images 1H MRS, TE=31ms, no sequence mentioned, 5 metabolites quantified using AMARES and ratios to Cr |
GP, Pu, Tha, Hip, CR, PGM, PWM 2x2x2cm3, PWM |
In vivo Longitudinal:24h after diagnosis and 5 days after resolution of HE episode | Indirect indication of ↑water content/low grade edema based on ↓MTR and ↑Glx/Cr, ↓Ins/Cr | assumption |
-No change in mean ADC between HE and non-HE patients ↓MTR in non-HE ↓↓MTR in HE in GP and PGM Glx/Cr –median =1.8 controls, 2.4 non-HE and 4.4 in HE. Ins/Cr – similar between HE and non-HE but lower than controls 5 days after no change in MTR, Glx/Cr, Ins/Cr but a ↓ADC in PGM |
Correlation between MTR and Glx/Cr in WM in HE patients ↓ADC 5 days after – water flux from extracellular to intracellular compartment Brain regional difference – WM stronger water increase Small number of patients |
145 |
Liver cirrhosis no evidence of overt HE | 24 |
1.5T | Proton density and T2 weighted FSE T1 weighted SE imaging - Brain volume – SIENAX from FSL 1H MRS, PRESS, TE=30ms, metabolites quantified using LCModel and ratios to Cr Neuropsychological assessment (n=52) |
Parieto-occipital WM, 8cm3 |
In vivo, single point: 6 to 12 months post LT | N/A | N/A |
Improvement in neuropsychological tests after LT except for 7 patients Brain smaller volume showed poorer function on motor tests Bain metabolites were in normal range |
MRI and MRS data only after LT HE has an effect on cognitive function after LT, likely because it results in neuronal and brain volume loss |
53 |
Stable liver cirrhosis of different causes (no-HE+mHE) |
13 | 3T | 3D T1 weighted, T2 weighted and FLAIR DTI, EPI, 2 b values:0-1000s/mm2, 6 directions 1H MRS, PRESS, TE=36ms, 6 metabolites quantified using QUEST/jMRUI and water as internal reference Psychometric tests: PHES, CDRS |
WM Frontal WM, 8cm3 |
In vivo Longitudinal at 0, 140 and 170 min after ingestion of amino acid capsules |
Indirect indication of in changes in brain water compartmentalization based on ↑trADC | N/A |
No change in the CDRS after challenge ↑trADC (9%) after the challenge ↓Ins after challenge, no change in Gln, Glu, NAA, Cr, Cho No change in brain volume. Ammonia can directly drive changes in water distribution. No vasogenic mechanisms146 |
No controls Correlations: changes in trADC vs blood ammonia, changes in blood ammonia vs brain Gln, changes in trADC and brain Ins Glial swelling and redistribution of extra-intracellular water during HA – likely mechanisms of edema in HE146 |
51 |
Liver cirrhosis of different causes Controls |
6-HE II 10-HE III 2-HE IV 8 |
3T | Proton density and T2 weighted FSE and fast FLAIR T1 weighted imaging DWI, single shot EPI, 4 b values:0-3000s/mm2 1H MRS, PRESS, TE=30ms, 5 metabolites quantified using LCModel and ratios to Cr HE patients: lactulose and rifaximin-severity grades were lower for the MRI |
PWM, corticospinal tract WM-parieto-occipital region, 8cm3 |
In vivo –first 5 days after hospitalization Longitudinal – 6 weeks later (n=14) |
Indirect indication of extracellular edema based on ↑ADC which returned to normal after 6 weeks | assumption |
↑ADC in patients vs controls ↑Gln/Cr in HE patients vs controls (2.4±0.78 vs 0.22±0.08) ↓Ins/Cr and Cho/Cr No change for Glu/Cr and NAA/Cr ↓ADC, ↓Gln/Cr and ↑Ins/Cr after 6 weeks in patients recovering after HE ADC in PWM similar to controls but ↑ in corticospinal tract 6 weeks after |
Correlations: Gln/Cr with HE grades, Gln/Cr and blood ammonia ↑ADC in patients with dehydration, ↓Ins/Cr in patients with hyponatremia Brain edema does not seem to be directly responsible for the neurological manifestation |
23 |
Well-compensated liver cirrhosis of different causes and previous mHE Controls |
22 21 |
3T | Volumetric imaging – 3D T1weighted sequence, SIENA – FSL software FSL fMRI, visuomotor task 1H MRS, PRESS, TE=36ms, 4 metabolites quantified using ratios to Cr Psychometric testing: CDRS, PHES |
8cm3, left BG |
In vivo Longitudinal: 4weeks after LOLA |
N/A | N/A |
No change in brain volume No change in activation after visual task before and after LOLA Greater activation in motor task after LOLA No Change in Glx/Cr, Cho/Cr, Ins/Cr, NAA/Cr pre and post-LOLA |
Improvements in CDRS and PHES after LOLA Correlations between the fMRI and psychometric tests |
52 |
Liver cirrhosis with mHE | 20 | 3T | DTI, single shot SE EPI, b=1000s/mm2, 60 directions, FA, MD –FSL tool 1H MRS, PROBE, TE=35ms, 4 metabolites quantified using LCModel and ratios to Cr fMRI, 2 tasks: N-back and inhibitory control tests Cognitive testing |
12 ROI – e.g. FWM, pWM, CC, IC, EC, cingulum ACC; pGM, rpWM, 8cm3 |
In vivo Longitudinal: before and 8 weeks after rifaximin treatment |
N/A |
↑FA, no change in MD, imply cytotoxic edema correction |
No changes in MD Small ↑FA in 5 ROIs after rifaximin No metabolite changes before and after rifaximin Higher activation in some brain areas after rifaximin |
Improvement in cognitive tests after rifaximin Improvement in WM integrity after rifaximin No control or placebo group |
93 |
Liver cirrhosis with mHE or HE I Controls |
30 16 |
3T |
1H MRS, MEGA-PRESS, TE=68ms, 4 metabolites quantified using LCModel and ratios to Cr Fast absolute measurement of cerebral water content34 Psychometric tests |
Occipital lobe, sensory and motor cortex–“hand knob”, 27cm3 each |
In vivo - single point |
Direct, absolute assessment of water content (%) |
N/A |
↑Gln/Cr in mHE and HE 1 in both voxels ↓Ins/Cr in mHE and HE 1 in both voxels compared to controls ↑GSx/Cr in mHE and HE 1 ↓GABA/Cr in mHE and HE1 in occipital lobe No change in water content MEGA-PRESS sequence was optimized for GABA and not glutathione. |
Correlations: Gln/Cr with blood ammonia and CFF; Ins/Cr with ammonia and CFF, ↑GSx/Cr with ammonia Several other correlations are mentioned Edema is only marginally responsible for symptoms of covert HE |
147 |
Liver cirrhosis Alc (n=46) Nalc (n=102) No Controls |
19-no HE 27-HE 48-no HE 44-HE |
1.5T Two sites |
T1 weighted images (MPRAGE) -VBM using FSL-VBM DTI, single shot SE EPI, b=1000s/mm2, 30 directions, FA, MD, CS –FSL tool 1H MRS, PRESS, TE=35ms, 4 metabolites quantified using LCModel and ratios to Cr |
13 ROI – e.g. FWM, pWM, CC, IC, cingulum ACC; pGM, rpWM, 8cm3 |
In vivo Longitudinal: 1 year after |
Indirect indication of interstitial edema based on ↑MD and CS | assumption |
GM density reduced in Alc vs Nalc Alc vs Nalc: ↓FA, ↑MD, ↑CS in all ROI HE status affects Nalc (FA and CS) Alc vs Nalc: ↑Glx, ↓Ins (rpWM, ACC), ↓Ins (pGM) no HE: ↑Glx, ↓Ins HE: no difference In Nalc HE: ↑Glx in all 3 regions |
No changes in brain metabolites 1 year later |
148 |
Liver cirrhosis Controls |
7-no HE 7-mHE 6 |
3T | T2 weighted, FLAIR and T1 weighted images (MPRAGE/SPGR sequence) DWI* MT* Neuropsychological tests Blood ammonia and cytokines |
FWM, PWM, IC, BG |
In vivo Longitudinal: 8 weeks after lactulose and rifaximin treatment | Indirect indication of low-grade brain edema in mHE based on ↓MTR | N/A |
Diffuse atrophy–47.9% of patients Hyperintensity in BG-60.8% of patients No DWI results ↓ MTR in mHE in FWM, PWM, IC and BG compared to controls ↓ MTR in mHE compared to non HE – PWM, IC, BG ↑MTR after treatment except for BG in mHE No change in MTR in no HE after treatment |
Correlations: -IL-6 with MTR in PWM and IC -ammonia with MTR in PWM -NP with MTR in PWM, IC -no correlations after treatment ↑ammonia in mHE and noHE with mHE>no HE ↑IL-1 and IL-6 in mHE |
48 |
Cirrhotic patients of different causes Controls |
26 19 |
3T | Volumetric imaging – 3D T1weighted sequence, T2 weighted sequence DTI, single-shot EPI sequence, 32 directions, b=1000s/mm2, ADC and FA measured, DTI Studio software MT, 2D GE, ImageJ software Psychometric testing |
Genu, body and splenium of CC, ACR, PCR FWM, Pu, GP, Tha, CN |
In vivo-single point | Indirect indication based on ↓MTR and ↑ADC | Assumption |
No change in total brain volume ↑ADC in genus and body of CC No difference in FA ↓MTR in GP (5.8%), FWM (4%), CN, Pu, 8 patients had mHE |
Trend of ↓MTR in mHE compared with other patients in FWM in GP Trend of ↓MTR in patients with alcohol-related disease ↓MTR and ↑ADC might demonstrate cytoplasmic changes of astrocytes Changes in astrocytes membrane permeability /redistribution of macromolecules |
50 |
Well-compensated liver cirrhosis of different causes Controls |
22 22 |
3T | Volumetric imaging – 3D T1weighted sequence, FMRIB software (FSL) T2 weighted sequence DTI, single-shot EPI sequence, 15 directions, b=1000s/mm2, ADC and FA measured, DTI Studio software MT, 2D GE, ImageJ software 1H MRS, PRESS, TE=36ms, 5 metabolites quantified using AMARES and ratios to Cr Psychometric testing |
FWM, Pu, GP, Tha, CN Genu, body and splenium of CC 15x15x15mm3, left BG |
In vivo Longitudinal: 4weeks after LOLA |
N/A | N/A |
No change in total brain volume No change in ADC or FA nor in their relation to neuropsychiatric status ↓MTR in GP, Tha in patients with cirrhosis ↓MTR in FWM only in mHE No change in metabolite ratios 7 patients out of 22 had mHE |
Psychometric performance was improved in 4 mHE patients after LOLA. No other changes were found after LOLA |
49 |
There are many studies implicating brain edema in the pathogenesis of HE; in patients with acute HE, brain edema has been shown to play a crucial role in the associated neurological deterioration.13 Patients who have cirrhosis with chronic HE may present with some degree of brain edema,14, 15, 16, 17, 18, 19 but it is not known if this is a universal finding. In addition, the correlations/associations between brain edema and neurological damage in chronic HE are not yet clearly established, with some studies showing a correlation and others not (for more details please see Table 1, Table 2, Table 3). This leads to the controversial question as to whether brain edema can be considered a valid endpoint in the evaluation of HE.1, 23 By extension, in rats with bile duct ligation (BDL), a type-C model of HE, brain edema, and HE are present.24 Other studies suggest that brain edema is not implicated in the pathogenesis of HE; in BDL rats, brain edema was also shown to be absent25 with no modifications in their neurological status 4–6 weeks after surgery,26, 27 while lipopolysaccharide (LPS) injection was shown to increase water content26 and alter the level of consciousness in these rats26 (for more details please see Table 1, Table 2). Moreover, in rats with portocaval anastomosis (PCA), a type-B model of HE (encephalopathy associated with portal-systemic bypass and no intrinsic hepatocellular disease9), brain edema is not present.24, 28 Finally, in rats with ALF, it was shown that motor tract function did not improve following attenuation of brain edema with the hypertonic solution, mannitol,27 while an acute injection of ammonia to PCA rats led to severe alterations of motor tract function, without the development of brain edema.27 It has been suggested that these discrepancies might be model specific (HE type A vs B vs C), since cerebral edema differs in terms of the temporality of the disease.1, 2, 29 In chronic HE, there is sufficient time for effective compensation and stabilization of the osmolyte shift to counteract the osmotic imbalance induced by the astrocytic accumulation of glutamine. In acute HE, the natural history of the syndrome is rapid and does not allow the system to compensate for metabolic changes.29 Moreover, in advanced chronic HE, there might be little room for activating additional volume-regulatory mechanisms against future challenges of cell volume (such as infection or neuroinflammation), which might explain the kinetics of HE occurrence and the episodic or persistent appearance of clinically overt cerebral edema in end-stage liver disease.30 Nevertheless, all these assumptions remain to be determined.1 Moreover, these results raise the question as to the role of brain edema in the neurological alterations linked to HE and whether HE and brain edema are the manifestations of the same pathophysiological mechanism or of two different cerebral manifestations of brain dysfunction in liver disease. It has been also postulated that brain edema may be a predisposing factor in the development of HE or a terminal complication.1, 2
Methods to measure brain edema ex vivo and in vivo in animal models and humans with chronic HE
Several methods have been used to measure brain water content and consequently brain edema either ex-vivo or in vivo. Some of these methods will be briefly described below, and a summary of the main results published to date are listed in Table 1, Table 2, Table 3.
Ex vivo measurements of water content using dissected tissue from sacrificed animals (no studies on human HE patients) are performed using the dry/wet weight technique or the specific gravity method.1, 31, 32 The advantage of these two techniques is that both of them allow a direct/absolute estimation of the water amount in the brain. However, these techniques do not provide any information on the type of edema and they are endpoint measurements. Therefore, no longitudinal measurements on the same animal are possible. Table 1 presents a summary of the results published to date on type C HE animal models, while more details on these two techniques can be found in the published literature.1, 2 The gravimetry technique appears to be most widely used and to have some advantages, such as a better specificity, together with the possibility of being able to use a smaller quantity of samples.1, 2 However, at the time of writing, there are only a few published studies using these techniques, and the results appear to be controversial. At 3 or 4 weeks post-BDL, no increase in water content was measured in BDL rats using the gravimetry technique, while an increase in water content at 4 weeks post-BDL was measured using the dry-wet technique (from ∼76% in sham operated rats to ∼78% in BDL rats). At 6 weeks only, one group measured an increase in brain water content using the gravimetry technique (from 78.35 ± 0.17% in sham-operated rats to 79.46 ± 0.28% in BDL rats), while others did not observe this (please see Table 1 for more details).
In vivo measurements of water content use several MRI or magnetic resonance spectroscopy (MRS) techniques, which have the main advantage of being non-invasive and thus allowing studies on the same individual longitudinally. The phenomenon of nuclear magnetic resonance (NMR) is based on the interaction of magnetic moments of nuclei of different atoms within the main (static) magnetic field (B0, usually expressed in Tesla). The magnetic moment of nuclei is associated with a nuclear spin (a form of angular momentum) characterized by a value called a spin number. The nucleus is defined by its number of protons and neutrons and its total nuclear spin. Nuclei with an odd number of protons or neutrons possess a non-zero spin and magnetic moment. Some of these nuclei have a spin number of ½ (e.g. 1H, 31P, 13C, and 15N), which is favorable for applications of magnetic resonance.33 MRI is mainly focused on imaging the hydrogen nucleus (1H) of water, since water is present in high concentrations in biological tissues, and 1H is the most sensitive nucleus in terms of high natural abundance (>99.9%) and intrinsic sensitivity (high gyromagnetic ratio), leading to a high signal-to-noise ratio. MRI techniques are presently available to detect subtle functional or structural changes in the human brain. The only MRI method allowing a direct in vivo water content measurement is brain water mapping, and this technique appears to be able to detect changes of approximately 1% in total brain water content, but it lacks specificity in relationship to the etiology of the water accumulation.34 Indirect or relative information regarding the content of water in the brain can be obtained using magnetization transfer (MT), diffusion-weighted or diffusion-tensor imaging (DWI or DTI), fast fluid-attenuated inversion recovery (FLAIR) MRI methodologies and MRS. All these techniques can provide some evidence of increased water content in HE, but they lack specificity in drawing conclusions about absolute water content changes, in addition to elucidating the origin of these perturbations in the brain. Therefore, these changes provide insight and pointers toward pathological mechanisms but are mainly interpretable simply as imaging manifestations of brain edema.1, 14, 15, 16, 17, 18, 35
Volumetric MRI in Chronic HE
MRI-based brain volumetry has been used in chronic HE to identify volume changes in a quantitative manner (total brain volume and/or specific brain regions) from T1-weighted structural MR images (Table 3). These volumetric methods are mainly based on brain segmentation (separation into non-brain and brain tissue, with the latter being sub-segmented into gray matter [GM], white matter [WM], and cerebrospinal fluid [CSF]).36 As the position of the patient and, possibly, the shape and size of the brain are likely to have changed between examinations, co-registration is needed in longitudinal assessments, and this involves several MRI head images as a starting point. Advanced software packages can align or register brain images and delineate or segment tissue boundaries between CSF, cerebral WM, and GM.37 The final images can then be used for volumetry or morphometry measures.36, 38
Qualitative visual assessment of cerebral edema on MRI is usually only possible in ALF.39 In minimal chronic HE, quantitative assessment of small percentage volume changes is only possible with advanced brain mapping software packages, where the conflicting effects of alcohol or age-related atrophy are assessed alongside the resultant changes in brain size due to HE. Several software packages are available for performing brain segmentation and volumetry/morphometry (including FSL software library, 3D slicer, SIENA, and SIENAX).36, 40, 41, 42, 43, 44, 45 More details on the methodology behind brain volumetry in the context of HE can be found in the published literature.14, 15, 17, 18, 46
The main volumetric MRI results obtained in chronic HE are summarized in Table 3. Some studies have shown a decrease in brain volume in HE47, 48 mainly in GM while others have not.49, 50, 51, 52 In addition, a relationship between brain volume and HE was sometimes observed.47, 53 It is important to underline that functionally well-compensated patients with cirrhosis showed no brain volume changes. There are a few reasons that could explain these discrepancies: the small number of studies performed to date and the small percentage volume changes associated with chronic HE, where the usage of higher magnetic fields might be more illuminating. The changes in brain volume measured in chronic HE were mainly associated with brain atrophy,15 but these findings require validation by other groups and additional studies using different multiparametric MRI techniques.
Magnetization Transfer Imaging in Chronic HE
MT was developed as a technique for manipulating tissue contrast for better image visualization on MRI,54, 55 also allowing an indirect measurement of bound and free water compartments in the brain. MT can be affected by variations in a variety of factors, including heavy metal concentration, membrane fluidity, and total water content.49, 50, 56 Of note, MT pulse sequences allow measurement of MT ratios (MTRs), which represent a quantitative tissue characteristic, reflecting the behavior of normally MR-invisible protons, bound to intracellular macromolecules. MTR measurement can detect alterations in brain water content that may not otherwise be seen using standard MR techniques. From a technical perspective, magnetization can be transferred between bound and free water pools bi-directionally through direct interaction between spins, transfer of nuclei, or through direct chemical means. Under normal circumstances, MT is the same in both directions, but MT pulse sequences can be designed to saturate the magnetization in the bound pool, leaving the free pool mostly unaffected. Such saturation of the bound pool causes a substantial reduction in the amount of the magnetization. Consequently, there is little transfer of the magnetization back to the free pool, with the MR longitudinal relaxation time reduced as a consequence.
In chronic HE, MTR values have shown an overall trend toward decrease and appear to be one of the most consistent MRI findings as shown by the majority of the studies presented in Table 3. The decrease in MTR values has been demonstrated to be present in several brain regions and has been reported to be small in magnitude (around 10%).16 Therefore, the main interpretation of this decrease includes the presence of low-grade astrocytic/cerebral edema which might also be linked to alterations in membrane permeability and cytoplasmic structure and to subsequent shifts in the distribution of macromolecules and intracellular water, with subtle alterations in intracellular and extracellular edema.16, 49, 50, 56, 57 Several other hypothesis have also been put forward. These are linked to damage to myelin or to axonal membrane and deposition of paramagnetic substances.50 In addition, some interesting correlations were reported by some studies between MTR values and MRS findings, the globus pallidus index, blood ammonia levels, and serum manganese concentrations, while the correlations with the neuropsychological tests are controversial (Table 3). Additional multiparametric MRI and multimodal studies would be useful to establish a clear link between MTR values and their brain regional dependence, HE severity, MRS-measurable metabolites, and other important findings in chronic HE.
Diffusion-Weighted/Diffusion-Tensor Imaging in Chronic HE
DWI/DTI is a MR technique allowing quantification of water molecule movement.58, 59, 60, 61 Water molecule diffusion follows the principles of Brownian motion. Unconstrained, water molecule movement is random and equal in all directions. This random movement is described as “isotropic”. However, motion of water molecules in structured environments is restricted due to physical surroundings and is described as being “anisotropic” (unequal in all directions). In the brain, the microstructure within GM and WM restricts water molecule movement. On average, water molecules tend to move parallel to WM tracts, as opposed to perpendicular to them.59 The molecules' motion in the x, y, and z planes and the correlation between these directions is described by a mathematical construct known as the diffusion tensor.62 In mathematics, a tensor defines the properties of a three-dimensional ellipsoid, the diffusion tensor describing the magnitude, the degree of anisotropy, and the orientation of diffusion anisotropy. For the diffusion tensor to be determined, diffusion data in a minimum of six non-collinear directions are required. This process is known as DTI. This technique collects detailed information allowing insight into the microstructure found within an area of interest within the brain, whose characteristic features are on the same length scale as the micrometer scale displacement of water molecules. These features may be used to map and characterize the three-dimensional diffusion of water as a function of spatial location. Factors calculated include the mean diffusivity (MD), degree of anisotropy, and direction of the diffusivities.62 MD is a measure of water diffusivity, dependent upon the surrounding chemical environment and the presence of obstacles to movement at a cellular and subcellular level. In parallel, using differently-weighted DWI images, a measure of diffusion can also be calculated. The different images can be mapped to create an apparent diffusion coefficient (ADC) image.63
In chronic HE, where less obvious water shifts may be occurring, there is, nevertheless, a mild increase in ADC in patients with cirrhosis, even when HE may not be clinically overt, as in minimal HE.64 Even though the majority of previously published studies observed an increase in ADC (or MD), the overall interpretation of the diffusion data is difficult and sometimes controversial (Table 3). It is important to note that some studies were unable to report any change in ADC (or MD) values. The overall agreement appears to be linked to an increase in water content. However, some authors tend to believe that this increase in ADC is related to an increase in extracellular water content, others to astrocytes swelling while some believe that it reflects minimal cellular edema with an increase of membrane permeability and increased intracellular diffusivity, as well as changes in the viscosity of the cytoplasm.65 The very basic interpretation of a two compartment model with intracellular or cytotoxic edema (linked to a decrease in ADC) and extracellular or vasogenic edema (linked to an increase in ADC) is not straightforward and is simplistic in its interpretation. As previously mentioned, it is rare for one of the two mechanisms to exist in isolation, and sometimes cytotoxic and vasogenic edema might coexist. DWI/DTI remains an indirect probe, because extracting quantitative metrics, characterizing the underlying tissue microstructure requires modeling of the diffusion signal. The limited specificity of DTI metrics and the need for biophysical modeling of the tissue to achieve specificity is discussed in the published literature.66
Proton Magnetic Resonance Spectroscopy in Chronic HE
In vivo localized proton magnetic resonance spectroscopy (1H MRS) is complementary to MRI and is a powerful technique to investigate brain metabolism of rodents and humans non-invasively and in a longitudinal manner.67, 68 It provides a spectrum as a readout, consisting of peaks at different resonant frequencies. In single voxel MRS, spectra are acquired from a well-defined volume, positioned in a specific brain region, using a combination of band-selective radiofrequency pulses and magnetic field gradients.33, 69 1H MRS is one of the most sensitive techniques, and nearly all brain metabolites contain hydrogen nuclei. An important number of biologically relevant metabolites can be observed and quantified in vivo within minutes. This technique can detect low molecular weight metabolites at concentrations as low as 0.5 mM.
Reliable quantification of the concentration of known metabolites and the extension of the number of quantifiable metabolites represent the main goal of in vivo 1H MRS.70, 71, 72, 73, 74 Accurate and precise quantification of brain metabolites is challenging and depends on hardware performance, pulse sequence design and adjustment, data processing, and quantification strategies. The choice of data processing software is very important, since many algorithms depend on user input, which might lead to inaccuracies. Moreover, published recommendations encourage the usage of quantification algorithms where metabolite concentrations are determined by fitting the measured in vivo 1H MRS spectrum to a linear combination of spectra of individual metabolites (the metabolite basis set).67 In clinical settings, metabolite concentration ratios are often used (mainly ratios to total creatine [tCr]); however, absolute metabolite concentrations are more valuable especially when tCr might change.
1H MRS was among the first techniques which provided indications of the presence of low-grade cerebral edema in chronic HE by reporting changes in brain organic osmolytes (an increase in glutamine [Gln] concentration, together with a decrease in myo-inositol [mIns] that partially compensates for increased intracellular osmotic pressure).30, 75 The glial localization of these osmolytes suggests a disturbance of astrocyte volume homeostasis.30, 75, 76 However, the information provided by 1H MRS is an indirect evidence of astrocyte swelling.
A detailed description of the main findings using 1H MRS in chronic HE in human patients can be found in Table 3. In clinical settings, the MRS acquisitions were performed at magnetic fields of 1.5T-3T and echo times (TEs) ≥20 ms, leading to the quantification of few metabolites (e.g. the sum of glutamine and glutamate [Glx], tCr [sometimes also simply called creatine {Cr}], total choline [tCho] and myo-inositol or inositol [mIns or Ins]). It is interesting to note that the stronger changes in brain metabolites (Glx/Cr, mIns/Cr, and tCho/Cr) were observed in overt HE, while in minimal HE, the decrease in mIns/Cr was observed more often than an increase in Glx/Cr. Finally, in functionally well-compensated liver cirrhosis, no significant changes were measured. This raises the question as to whether few metabolite changes occur in well-compensated liver disease patients, or if these changes are very small, and thus they are not detected at lower magnetic fields. Therefore, nowadays the availability of high magnetic fields (≥7T), together with MRS acquisitions at shorter TEs (<10–20 ms) might offer opportunities to better quantify and understand brain metabolites changes in chronic HE. Using this methodology, both in animal models and humans, about 19 brain metabolites can be quantified in the brain: glutamate, Gln, aspartate, γ-aminobutyrate, and glycine (neurotransmitters and associated metabolites); glucose, lactate (Lac), Cr, phosphocreatine, and alanine (markers of energy metabolism); taurine and mIns (markers of osmoregulation); phosphocholine, glycerophosphocholine, phosphoethanolamine, N-acetylaspartate, and N-acetylaspartylglutamate (markers of myelination/cell proliferation); and ascorbate and glutathione (antioxidants).67, 70, 71, 73, 77, 78 Table 3 also presents some interesting correlations between MRS changes and other MRI or blood parameters. In addition, some brain regional differences were observed in brain metabolites, but this observation requires further validation.
To date, brain water mapping34 is the direct method for absolute quantification of water content in vivo in humans. In animal models, a multimodal approach is desired combining in vivo and longitudinal measurements with an ex vivo technique assessing the absolute brain water content. This combination provides additional information on the temporal resolution of the onset of brain edema by monitoring the progression of the syndrome longitudinally. None of these techniques provides information on the type of the edema or which cell is involved. Therefore, using parallel electron microscopy or a similar technique would be very useful in animal models.
Brain edema and HE treatments
Drug therapy for HE largely focuses on removal of bacterial-derived toxins and manipulating gut flora levels, but underlying precipitating factors, such as gastrointestinal hemorrhage, infections, electrolyte disturbance, renal insufficiency, the use of psychoactive drugs, and the presence of constipation and the advent of ALF must be investigated and treated accordingly.79 Published studies suggest that probiotics, non-absorbable disaccharides (lactulose and lactitol), and non-absorbable antibiotics (such as rifaximin) can be useful in treating HE and may have an effect on brain water content.80, 81, 82, 83, 84, 85, 86 The MRI/MRS results of some studies using different treatment strategies are detailed in Table 3.
Non-absorbable disaccharides include lactulose and lactitol, which are well-known for their laxative effects; they also reduce the colonic pH and decrease gut mucosal uptake of glutamine.87 This reduces synthesis and absorption of ammonia. There has been one study demonstrating a small reduction in brain volume in patients with chronic HE on lactulose88 using a co-registration technique while another study observed a reduction in MD using the same treatment.29
Changes in T2 FLAIR WM lesions and ventricular volumes have been studied in chronic HE patients89 and following liver transplantation.90 Moreover, an improvement in MTR and MD was also observed after liver transplantation,22, 57 while normal MRS spectra were also acquired after liver transplantation.53
Rifaximin is a minimally absorbed oral antibiotic with few adverse effects, no reported drug-drug interactions, and a low risk of inducing bacterial resistance.91 A multicenter trial published in 2010 found that HE remission was prolonged in rifaximin-treated patients, the drug exhibiting a protective effect, and reducing hospitalization rates.92 Ahluwalia et al. demonstrated a reduction in fractional anisotropy (but not in MD), along with significant improvement in cognition, including working memory, after rifaximin treatment in a group of 16 minimal HE patients, indicating an effect on brain water content.93
Overall pathogenic mechanisms
In the brain, glutamine synthesis is largely confined to astrocytes.94 In case of liver disease or shunting, brain ammonium accumulation increases astrocytic Gln, raising intracellular osmotic pressure and leading to astrocyte swelling and brain edema.1, 30, 71, 76, 95, 96, 97, 98, 99 It is generally accepted that in hyperammonemia, excess glutamine compromises astrocyte function and morphology76 and thus participates in the development of HE. Although the relationship between cause and effect, leading to HE, and the related spectrum of neurological symptoms remains unclear, ammonium and glutamine appear to be a common thread in the complex and multifactorial model of HE pathogenesis, since both precipitate a cascade of metabolic events that will ultimately result in the neurological disturbance. Ammonium triggers not only the increase in glutamine which will consequently perturb astrocyte metabolism and increase the intracellular osmotic pressure but also a series of signaling events: oxidative stress, activation of transcription factors, signaling kinases, mitochondrial permeability transition, and alterations in the neuronal processes growth.3, 30, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110 Moreover, increased astrocytic Gln can lead to the opening of the mitochondrial permeability transition pore111, 112 and interfere with glutamatergic neurotransmission.113 More details about Gln-related hypotheses, related evidences, and controversies can be found in study by Brusilow et al.76 In addition, other pathogenic mechanisms are also involved in HE: inflammation, alterations in neurotransmission, cerebral energy disturbances, Lac accumulation, and probably others more.114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130
Even though astrocyte swelling and consequently brain edema are believed to act as a mediator in the neurological manifestations in HE, their pathophysiological role remains elusive. In the past years, several hypotheses have been elaborated regarding the relationship between brain metabolism changes, cellular changes, and cell swelling/edema in HE. The authors of the “osmotic gliopathy theory”76 suggested that there is an initial pronounced osmotic stress in the astrocytes due to increased glutamine synthesis. With time, there is a gradual compensation as reflected by decreased organic osmolytes, and this compensation is accompanied by increased water in the extracellular space. However, this compensation cannot be complete since there is evidence that astrocyte swelling occurs, which may be more pronounced in the more severe disease. The Trojan horse hypothesis105, 131 is another mechanism by which glutamine is considered to contribute to the pathogenesis of HE. It postulates that glutamine is transported into mitochondria, where it undergoes hydrolysis thus yielding high levels of ammonia and finally resulting in deleterious effects (e.g. induction of the mitochondrial permeability transition and oxidative/nitrative stress leading to astrocyte dysfunction and cell swelling). More details about this theory and related controversies can be found in study by Brusilow et al. 76 The transporter hypothesis postulates that increased Gln synthesis coupled with a partial suppression of SNAT3- and SNAT5-mediated efflux of Gln from astrocytes results in an accumulation of Gln in the astrocytic compartment leading to osmotic stress.132
It is believed that small increases in astrocytes water content may have an important impact on astrocyte morphology, function, and gene expression despite the absence of clinically overt increases of intracranial pressure in chronic HE.75 For example, prolonged osmotic and/or metabolic stress has been shown to cause production of reactive oxygen species, mitochondrial permeability transition, and inflammatory signals, which have physiological and pathophysiological consequences.1 Altered astrocyte function eventually leads to deranged neuroglial communication and neurotransmitter system imbalance, which will impact synaptic plasticity and oscillatory cerebral networks, thus enabling a pathological environment characterizing HE.30
Conclusion
Although some of the discussed studies established a link between brain edema and alterations in cognitive function, the role of brain edema as a neuropathological feature/consequence or cause of HE remains controversial. It was speculated that different degrees of astrocyte swelling or brain edema might have different effects on cerebral function.2 In addition, brain edema might act synergistically with other pathogenic factors or only be a predisposing or precipitating factor in the development of HE. The in vivo MRI/MRS studies were very helpful in the process of evaluating brain edema in chronic HE and in improving our understanding of the pathophysiological alterations in HE. As can be seen form Table 1, Table 2, Table 3, there is an overall tendency in using multimodal (more than two MRI/MRS techniques) and multiparametric (MRS/MRS studies combined with neurological tests, biochemical analysis) approaches. However, additional in vivo, longitudinal, and multiparametric/multimodal studies are required (in humans and animal models) to elucidate the relationship between liver function, brain metabolism changes, cellular changes, cell swelling/edema, and neurological manifestations in chronic HE. The brain regional difference in chronic HE also remains an open question.
Conflicts of interest
The authors have none to declare.
Acknowledgments
Financial support was provided by the SNSF project no 310030_173222/1 and by the CIBM (UNIL, UNIGE, HUG, CHUV, EPFL, as well as the Leenaards and Jeantet Foundations). SDTR is grateful to the United Kingdom NIHR Biomedical Facility at Imperial College London for infrastructure support.
References
- 1.Bémeur C., Cudalbu C., Dam G., Thrane A.S., Cooper A.J.L., Rose C.F. Brain edema: a valid endpoint for measuring hepatic encephalopathy? Metab Brain Dis. 2016;31(6) doi: 10.1007/s11011-016-9843-9. [DOI] [PubMed] [Google Scholar]
- 2.Bosoi C.R., Rose C.F. Brain edema in acute liver failure and chronic liver disease: similarities and differences. Neurochem Int. 2013;62(4):446–457. doi: 10.1016/j.neuint.2013.01.015. [DOI] [PubMed] [Google Scholar]
- 3.Norenberg M.D., Rao K.V., Jayakumar A.R. Mechanisms of ammonia-induced astrocyte swelling. Metab Brain Dis. 2005;20(4):303–318. doi: 10.1007/s11011-005-7911-7. [DOI] [PubMed] [Google Scholar]
- 4.Unterberg A.W., Stover J., Kress B., Kiening K.L. Edema and brain trauma. Neuroscience. 2004;129(4):1021–1029. doi: 10.1016/j.neuroscience.2004.06.046. [DOI] [PubMed] [Google Scholar]
- 5.Thrane A.S., Rangroo Thrane V., Nedergaard M. Drowning stars: reassessing the role of astrocytes in brain edema. Trends Neurosci. 2014 doi: 10.1016/j.tins.2014.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rama Rao K.V., Norenberg M.D. Aquaporin-4 in hepatic encephalopathy. Metab Brain Dis. 2007;22(3–4):265–275. doi: 10.1007/s11011-007-9063-4. [DOI] [PubMed] [Google Scholar]
- 7.Jayakumar A.R., Rama Rao K.V., Murthy C.R.K., Norenberg M.D. Glutamine in the mechanism of ammonia-induced astrocyte swelling. Neurochem Int. 2006;48:623–628. doi: 10.1016/j.neuint.2005.11.017. [DOI] [PubMed] [Google Scholar]
- 8.Papadopoulos M.C., Verkman A.S. Aquaporin water channels in the nervous system. Nat Rev Neurosci. 2013;14(4):265–277. doi: 10.1038/nrn3468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Blei A.T., Ferenci P., Lockwood A., Mullen K., Tarter R., Weissenborn K. Hepatic encephalopathy - definition, nomenclature, diagnosis, and quantification: final report of the working party at the 11th world congresses of gastroenterology, Vienna, 1998. Hepatology. 2002;35(3):716–721. doi: 10.1053/jhep.2002.31250. [DOI] [PubMed] [Google Scholar]
- 10.Scott T.R., Kronsten V.T., Hughes R.D., Shawcross D.L. Pathophysiology of cerebral oedema in acute liver failure. World J Gastroenterol. 2013;19(48):9240–9255. doi: 10.3748/wjg.v19.i48.9240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Rama Rao K.V., Jayakumar A.R., Norenberg M.D. Brain edema in acute liver failure: mechanisms and concepts. Metab Brain Dis. 2014;29(4):927–936. doi: 10.1007/s11011-014-9502-y. [DOI] [PubMed] [Google Scholar]
- 12.Donovan J.P., Schafer D.F., Jr., S B.W., Sorrell M.F. Cerebral oedema and increased intracranial pressure in chronic liver disease. Lancet. 1998;351:719–721. doi: 10.1016/S0140-6736(97)07373-X. [DOI] [PubMed] [Google Scholar]
- 13.Chavarria L., Alonso J., Rovira A., Córdoba J. Neuroimaging in acute liver failure. Neurochem Int. 2011;59(8):1175–1180. doi: 10.1016/j.neuint.2011.09.003. [DOI] [PubMed] [Google Scholar]
- 14.McPhail M.J.W., Taylor-Robinson S.D. The role of magnetic resonance imaging and spectroscopy in hepatic encephalopathy. Metab Brain Dis. 2010;25(1):65–72. doi: 10.1007/s11011-010-9171-4. [DOI] [PubMed] [Google Scholar]
- 15.Chavarria L., Cordoba J. Magnetic resonance imaging and spectroscopy in hepatic encephalopathy. J Clin Exp Hepatol. 2015;5(S1):S69–S74. doi: 10.1016/j.jceh.2013.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rovira A., Alonso J., Cordoba J. MR imaging findings in hepatic encephalopathy. AJNR. 2008;29(9):1612–1621. doi: 10.3174/ajnr.A1139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Grover V.P., Dresner M.A., Forton D.M. Current and future applications of magnetic resonance imaging and spectroscopy of the brain in hepatic encephalopathy. World J Gastroenterol. 2006;12(19):2969–2978. doi: 10.3748/wjg.v12.i19.2969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Mcphail M.J.W., Thomas H.C., Taylor-robinson S.D. Magnetic resonance studies of the brain in liver disease. Funct Mol Imag Hepatol. 2012:160–182. [Google Scholar]
- 19.Chavarria L., Cordoba J. Magnetic resonance of the brain in chronic and acute liver failure. Metab Brain Dis. 2014;29(4):937–944. doi: 10.1007/s11011-013-9452-9. [DOI] [PubMed] [Google Scholar]
- 20.Norenberg M.D. A light and electron microscopic study of experimental portal-systemic (ammonia) encephalopathy. Progression and reversal of the disorder. Lab Invest. 1977 Jun;36(6):618–627. [PubMed] [Google Scholar]
- 21.Klatzo I. Pathophysiological aspects of brain edema. Acta Neuropathol. 1987;(72):236–239. doi: 10.1007/BF00691095. [DOI] [PubMed] [Google Scholar]
- 22.Chavarria L., Alonso J., García-Martínez R. Biexponential analysis of diffusion-tensor imaging of the brain in patients with cirrhosis before and after liver transplantation. Am J Neuroradiol. 2011;32(8):1510–1517. doi: 10.3174/ajnr.A2533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chavarria L., Alonso J., García-Martínez R. Brain magnetic resonance spectroscopy in episodic hepatic encephalopathy. J Cerebr Blood Flow Metabol. 2013;33(2):272–277. doi: 10.1038/jcbfm.2012.173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bosoi C.R., Yang X., Huynh J. Systemic oxidative stress is implicated in the pathogenesis of brain edema in rats with chronic liver failure. Free Radic Biol Med. 2012;52(7):1228–1235. doi: 10.1016/j.freeradbiomed.2012.01.006. S0891-5849(12)00034-2 [pii] [DOI] [PubMed] [Google Scholar]
- 25.Chavarria L., Oria M., Romero-Gimenez J., Alonso J., Lope-Piedrafita S., Cordoba J. Brain magnetic resonance in experimental acute-on-chronic liver failure. Liver Int. 2013;33(2):294–300. doi: 10.1111/liv.12032. [DOI] [PubMed] [Google Scholar]
- 26.Wright G., Davies N.A., Shawcross D.L. Endotoxemia produces coma and brain swelling in bile duct ligated rats. Hepatology. 2007;45(6):1517–1526. doi: 10.1002/hep.21599. [DOI] [PubMed] [Google Scholar]
- 27.Oria M., Chatauret N., Chavarria L. Motor-evoked potentials in awake rats are a valid method of assessing hepatic encephalopathy and of studying its pathogenesis. Hepatology. 2010 doi: 10.1002/hep.23938. [DOI] [PubMed] [Google Scholar]
- 28.Cauli O., Llansola M., Agustí A. Cerebral oedema is not responsible for motor or cognitive deficits in rats with hepatic encephalopathy. Liver Int. 2014;34(3):379–387. doi: 10.1111/liv.12258. [DOI] [PubMed] [Google Scholar]
- 29.Kale R.A., Gupta R.K., Saraswat V.A. Demonstration of interstitial cerebral edema with diffusion tensor MR imaging in type C hepatic encephalopathy. Hepatology. 2006;43(4):698–706. doi: 10.1002/hep.21114. [DOI] [PubMed] [Google Scholar]
- 30.Häussinger D. Low grade cerebral edema and the pathogenesis of hepatic encephalopathy in cirrhosis. Hepatology. 2006;43(6):1187–1190. doi: 10.1002/hep.21235. [DOI] [PubMed] [Google Scholar]
- 31.Marmarou A., Poll W., Shulman K., Bhagavan H. A simple gravimetric technique for measurement of brain edema. J Neurosurg. 1978 Oct;49(4):530–537. doi: 10.3171/jns.1978.49.4.0530. [DOI] [PubMed] [Google Scholar]
- 32.Hayazaki K., Matsuoka Y. Variation in Equation Coefficients in the Gravimetric Method to Determine Brain Water Content. Neurol Med Chir (Tokyo) 1995 Feb;35(2):69–74. doi: 10.2176/nmc.35.69. [DOI] [PubMed] [Google Scholar]
- 33.Mlynárik V. Introduction to nuclear magnetic resonance. Anal Biochem. 2017 Jul 15;529:4–9. doi: 10.1016/j.ab.2016.05.006. [DOI] [PubMed] [Google Scholar]
- 34.Shah N.J., Neeb H., Kircheis G., Engels P., Häussinger D., Zilles K. Quantitative cerebral water content mapping in hepatic encephalopathy. Neuroimage. 2008;41(3):706–717. doi: 10.1016/j.neuroimage.2008.02.057. [DOI] [PubMed] [Google Scholar]
- 35.Córdoba J., Sanpedro F., Alonso J., Rovira A. 1H magnetic resonance in the study of hepatic encephalopathy in humans. Metab Brain Dis. 2002;17(4):415–429. doi: 10.1023/a:1021926405944. [DOI] [PubMed] [Google Scholar]
- 36.Giorgio A., De Stefano N. Clinical use of brain volumetry. J Magn Reson Imag. 2013 doi: 10.1002/jmri.23671. [DOI] [PubMed] [Google Scholar]
- 37.Klauschen F., Goldman A., Barra V., Meyer-Lindenberg A., Lundervold A. Evaluation of automated brain MR image segmentation and volumetry methods. Hum Brain Mapp. 2009 doi: 10.1002/hbm.20599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Mietchen D., Gaser C. Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution. Front Neuroinf. 2009 doi: 10.3389/neuro.11.025.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Fridman V., Galetta S.L., Pruitt A.A., Levine J.M. MRI findings associated with acute liver failure. Neurology. 2009 doi: 10.1212/WNL.0b013e3181aa5340. [DOI] [PubMed] [Google Scholar]
- 40.Smith S.M., Jenkinson M., Woolrich M.W. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004 doi: 10.1016/j.neuroimage.2004.07.051. [DOI] [PubMed] [Google Scholar]
- 41.Smith S.M. Fast robust automated brain extraction. Hum Brain Mapp. 2002 doi: 10.1002/hbm.10062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Jenkinson M., Bannister P., Brady M., Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002 doi: 10.1016/s1053-8119(02)91132-8. [DOI] [PubMed] [Google Scholar]
- 43.Reuter M., Schmansky N.J., Rosas H.D., Fischl B. Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage. 2012 doi: 10.1016/j.neuroimage.2012.02.084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fedorov A., Beichel R., Kalpathy-Cramer J. 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging. 2012 doi: 10.1016/j.mri.2012.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Fischl B. FreeSurfer. Neuroimage. 2012 doi: 10.1016/j.neuroimage.2012.01.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Tognarelli J.M., Dawood M., Shariff M.I.F. Magnetic resonance spectroscopy: principles and techniques: lessons for clinicians. J Clin Exp Hepatol. 2015;5(4):320–328. doi: 10.1016/j.jceh.2015.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lin W.C., Chou K.H., Chen C.L. Significant volume reduction and shape abnormalities of the basal ganglia in cases of chronic liver cirrhosis. Am J Neuroradiol. 2012 doi: 10.3174/ajnr.A2769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rai R., Ahuja C.K., Agrawal S. Reversal of low-grade cerebral edema after lactulose/rifaximin therapy in patients with cirrhosis and minimal hepatic encephalopathy. Clin Transl Gastroenterol. 2015;6(9):e111–e118. doi: 10.1038/ctg.2015.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Grover V.P.B., McPhail M.J.W., Wylezinska-Arridge M. A longitudinal study of patients with cirrhosis treated with L-ornithine L-aspartate, examined with magnetization transfer, diffusion-weighted imaging and magnetic resonance spectroscopy. Metab Brain Dis. 2017;32(1):77–86. doi: 10.1007/s11011-016-9881-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Grover V.P.B., Crossey M.M.E., Fitzpatrick J.A. Quantitative magnetic resonance imaging in patients with cirrhosis: a cross-sectional study. Metab Brain Dis. 2016;31(6):1315–1325. doi: 10.1007/s11011-015-9716-7. [DOI] [PubMed] [Google Scholar]
- 51.Mardini H., Smith F.E., Record C.O., Blamire A.M. Magnetic resonance quantification of water and metabolites in the brain of cirrhotics following induced hyperammonaemia. J Hepatol. 2011;54(6):1154–1160. doi: 10.1016/j.jhep.2010.09.030. [DOI] [PubMed] [Google Scholar]
- 52.McPhail M.J.W., Leech R., Grover V.P.B. Modulation of neural activation following treatment of hepatic encephalopathy. Neurology. 2013 doi: 10.1212/WNL.0b013e31828726e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Garcia-Martinez R., Rovira A., Alonso J. Hepatic encephalopathy is associated with posttransplant cognitive function and brain volume. Liver Transplant. 2011;17:38–46. doi: 10.1002/lt.22197. [DOI] [PubMed] [Google Scholar]
- 54.Hajnal J.V., Baudouin C.J., Oatridge a, Young I.R., Bydder G.M. Design and implementation of magnetization transfer pulse sequences for clinical use. J Comput Assist Tomogr. 1992 doi: 10.1097/00004728-199201000-00003. [DOI] [PubMed] [Google Scholar]
- 55.Wolff S.D., Balaban R.S. Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo. Magn Reson Med. 1989 doi: 10.1002/mrm.1910100113. [DOI] [PubMed] [Google Scholar]
- 56.Rovira a, Grivé E., Pedraza S., Alonso J. Magnetization transfer ratio values and proton MR spectroscopy of normal-appearing cerebral white matter in patients with liver cirrhosis. AJNR Am J Neuroradiol. 2001;22(6):1137–1142. http://www.ncbi.nlm.nih.gov/pubmed/11415910 [PMC free article] [PubMed] [Google Scholar]
- 57.Córdoba J., Alonso J., Rovira A. The development of low-grade cerebral edema in cirrhosis is supported by the evolution of 1H-magnetic resonance abnormalities after liver transplantation. J Hepatol. 2001;35(5):598–604. doi: 10.1016/s0168-8278(01)00181-7. [DOI] [PubMed] [Google Scholar]
- 58.Alexander A.L., Lee J.E., Lazar M., Field A.S. Diffusion tensor imaging of the brain. Neurotherapeutics. 2007;4(3):316–329. doi: 10.1016/j.nurt.2007.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Chenevert T.L., Brunberg J.A., Pipe J.G. Anisotropic diffusion in human white matter: demonstration with MR techniques in vivo. Radiology. 1990 doi: 10.1148/radiology.177.2.2217776. [DOI] [PubMed] [Google Scholar]
- 60.Le Bihan D. 1995. Diffusion and Perfusion Magnetic Resonance Imaging: Applications to Fonctional MRI. [Google Scholar]
- 61.Le Bihan D. The “wet mind”: water and functional neuroimaging. Phys Med Biol. 2007;52(7) doi: 10.1088/0031-9155/52/7/R02. [DOI] [PubMed] [Google Scholar]
- 62.Basser P.J., Mattiello J., LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophys J. 1994 doi: 10.1016/S0006-3495(94)80775-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Mori S., Barker P. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec. 1999 doi: 10.1002/(SICI)1097-0185(19990615)257:3<102::AID-AR7>3.0.CO;2-6. [pii] [DOI] [PubMed] [Google Scholar]
- 64.Lodi R., Tonon C., Stracciari A. Diffusion MRI shows increased water apparent diffusion coefficient in the brains of cirrhotics. Neurology. 2004 doi: 10.1212/01.wnl.0000113796.30989.74. [DOI] [PubMed] [Google Scholar]
- 65.Sugimoto R., Iwasa M., Maeda M. Value of the apparent diffusion coefficient for quantification of low-grade hepatic encephalopathy. Am J Gastroenterol. 2008;103(6):1413–1420. doi: 10.1111/j.1572-0241.2008.01788.x. [DOI] [PubMed] [Google Scholar]
- 66.Jelescu I.O., Budde M.D. Design and validation of diffusion MRI models of white matter. Front Phys. 2017 doi: 10.3389/fphy.2017.00061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Öz G., Alger J.R., Barker P.B. Clinical proton MR spectroscopy in central nervous system disorders. Radiology. 2014;270(3) doi: 10.1148/radiol.13130531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Cudalbu C., Cooper A.J.L. Editorial for the special issue on introduction to in vivo Magnetic Resonance Spectroscopy (MRS): a method to non-invasively study metabolism. Anal Biochem. 2017 doi: 10.1016/j.ab.2017.05.014. [DOI] [PubMed] [Google Scholar]
- 69.Lei H., Xin L., Gruetter R., Mlynárik V. Localized single-voxel magnetic resonance spectroscopy, water suppression, and novel approaches for ultrashort echo-time measurements. Magn Reson Spectrosc Tools Neurosci Res Emerg Clin Appl. 2013:15–30. [Google Scholar]
- 70.Cudalbu C., Mlynarik V., Gruetter R. Handling macromolecule signals in the quantification of the neurochemical profile. J Alzheimers Dis. 2012;31(suppl 3):S101–S115. doi: 10.3233/JAD-2012-120100. [DOI] [PubMed] [Google Scholar]
- 71.Cudalbu C. In vivo studies of brain metabolism in animal models of Hepatic Encephalopathy using 1H Magnetic Resonance Spectroscopy. Metab Brain Dis. 2013;28(2) doi: 10.1007/s11011-012-9368-9. [DOI] [PubMed] [Google Scholar]
- 72.Lanz B., Rackayova V., Braissant O., Cudalbu C. MRS studies of neuroenergetics and glutamate/glutamine exchange in rats: extensions to hyperammonemic models. Anal Biochem. 2016 doi: 10.1016/j.ab.2016.11.021. [DOI] [PubMed] [Google Scholar]
- 73.Xin L., Tkáč I. A practical guide to in vivo proton magnetic resonance spectroscopy at high magnetic fields. Anal Biochem. 2017;529:30–39. doi: 10.1016/j.ab.2016.10.019. [DOI] [PubMed] [Google Scholar]
- 74.McKay J., Tkáč I. Quantitative in vivo neurochemical profiling in humans: where are we now? Int J Epidemiol. 2016;45(5):1339–1350. doi: 10.1093/ije/dyw235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Häussinger D., Kircheis G., Fischer R., Schliess F., vom Dahl S. Hepatic encephalopathy in chronic liver disease: a clinical manifestation of astrocyte swelling and low-grade cerebral edema? J Hepatol. 2000;32(6):1035–1038. doi: 10.1016/s0168-8278(00)80110-5. [DOI] [PubMed] [Google Scholar]
- 76.Brusilow S.W., Koehler R.C., Traystman R.J., Cooper A.J.L. Astrocyte glutamine synthetase: importance in hyperammonemic syndromes and potential target for therapy. Neurotherapeutics. 2010;7(4):452–470. doi: 10.1016/j.nurt.2010.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Tkáć I., Gruetter R. Methodology of 1 H NMR spectroscopy of the human brain at very high magnetic fields. Appl Magn Reson. 2005;29(1):139–157. doi: 10.1007/BF03166960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Lanz B., Rackayova V., Braissant O., Cudalbu C. MRS studies of neuroenergetics and glutamate/glutamine exchange in rats: extensions to hyperammonemic models. Anal Biochem. 2017;529:245–269. doi: 10.1016/j.ab.2016.11.021. [DOI] [PubMed] [Google Scholar]
- 79.Blei A.T., Cordoba J. Hepatic encephalopathy. Am J Gastroenterol. 2001;96(7):1968–1976. doi: 10.1111/j.1572-0241.2001.03964.x. [DOI] [PubMed] [Google Scholar]
- 80.Prakash R.K., Kanna S., Mullen K.D. Evolving concepts: the negative effect of minimal hepatic encephalopathy and role for prophylaxis in patients with cirrhosis. Clin Ther. 2013 doi: 10.1016/j.clinthera.2013.07.421. [DOI] [PubMed] [Google Scholar]
- 81.Dhiman R.K. Gut microbiota and hepatic encephalopathy. Metab Brain Dis. 2013;28(2):321–326. doi: 10.1007/s11011-013-9388-0. [DOI] [PubMed] [Google Scholar]
- 82.Rai R., Saraswat V.A., Dhiman R.K. Gut microbiota: its role in hepatic encephalopathy. J Clin Exp Hepatol. 2015;5(S1):S29–S36. doi: 10.1016/j.jceh.2014.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Dhiman R.K., Rana B., Agrawal S. Probiotic VSL#3 reduces liver disease severity and hospitalization in patients with cirrhosis: a randomized, controlled trial. Gastroenterology. 2014;147(6):1327–1337.e3. doi: 10.1053/j.gastro.2014.08.031. [DOI] [PubMed] [Google Scholar]
- 84.Al Sibae M.R., McGuire B.M. Current trends in the treatment of hepatic encephalopathy. Ther Clin Risk Manag. 2009;5(1):617–626. doi: 10.2147/tcrm.s4443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Solga S.F. Probiotics can treat hepatic encephalopathy. Med Hypotheses. 2003;61(2):307–313. doi: 10.1016/s0306-9877(03)00192-0. [DOI] [PubMed] [Google Scholar]
- 86.Morgan M.Y., Blei A., Grüngreiff K. The treatment of hepatic encephalopathy. Metab Brain Dis. 2007;22(3–4):389–405. doi: 10.1007/s11011-007-9060-7. [DOI] [PubMed] [Google Scholar]
- 87.Leeuwen PAM Van, Berlo CLH Van, Soeters P.B. New mode of action for lactulose. Lancet. 1988 doi: 10.1016/s0140-6736(88)91033-1. [DOI] [PubMed] [Google Scholar]
- 88.Patel N., White S., Dhanjal N.S., Oatridge A., Taylor-Robinson S.D. Changes in brain size in hepatic encephalopathy: a coregistered MRI study. Metab Brain Dis. 2004 doi: 10.1023/b:mebr.0000043987.09022.e3. [DOI] [PubMed] [Google Scholar]
- 89.Mínguez B., Rovira A., Alonso J., Córdoba J. Decrease in the volume of white matter lesions with improvement of hepatic encephalopathy. Am J Neuroradiol. 2007 doi: 10.3174/ajnr.A0611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Rovira A., Mínguez B., Aymerich F.X. Decreased white matter lesion volume and improved cognitive function after liver transplantation. Hepatology. 2007 doi: 10.1002/hep.21911. [DOI] [PubMed] [Google Scholar]
- 91.Vilstrup H., Amodio P., Bajaj J. 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. 2014;60(2):715–735. doi: 10.1002/hep.27210. [DOI] [PubMed] [Google Scholar]
- 92.Bass N.M., Mullen K.D., Sanyal A. 2010. Rifaximin Treatment in Hepatic Encephalopathy. [Google Scholar]
- 93.Ahluwalia V., Wade J.B., Heuman D.M. Enhancement of functional connectivity, working memory and inhibitory control on multi-modal brain MR imaging with Rifaximin in Cirrhosis: implications for the gut-liver-brain axis. Metab Brain Dis. 2014 doi: 10.1007/s11011-014-9507-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Norenberg M.D. Distribution of glutamine synthetase in the rat central nervous system. J Histochem Cytochem. 1979;27(3):756–762. doi: 10.1177/27.3.39099. http://www.ncbi.nlm.nih.gov/pubmed/39099 [DOI] [PubMed] [Google Scholar]
- 95.Bosoi C.R., Zwingmann C., Marin H. Increased brain lactate is central to the development of brain edema in rats with chronic liver disease. J Hepatol. 2014;60(3):554–560. doi: 10.1016/j.jhep.2013.10.011. [DOI] [PubMed] [Google Scholar]
- 96.Rackayova V., Braissant O., McLin V.A., Berset C., Lanz B., Cudalbu C. 1H and 31P magnetic resonance spectroscopy in a rat model of chronic hepatic encephalopathy: in vivo longitudinal measurements of brain energy metabolism. Metab Brain Dis. 2016;31(6):1303–1314. doi: 10.1007/s11011-015-9715-8. [DOI] [PubMed] [Google Scholar]
- 97.Braissant O., McLin V.A., Cudalbu C. Ammonia toxicity to the brain. J Inherit Metab Dis. 2013;36(4) doi: 10.1007/s10545-012-9546-2. [DOI] [PubMed] [Google Scholar]
- 98.Haussinger D., Kircheis G., Fischer R., Schliess F., vom Dahl S. Hepatic encephalopathy in chronic liver disease: a clinical manifestation of astrocyte swelling and low-grade cerebral edema? J Hepatol. 2000;32(6):1035–1038. doi: 10.1016/s0168-8278(00)80110-5. S0168827800801105 [pii] [DOI] [PubMed] [Google Scholar]
- 99.Cooper A.J., Plum F. Biochemistry and physiology of brain ammonia. Physiol Rev. 1987;67(2):440–519. doi: 10.1152/physrev.1987.67.2.440. http://www.ncbi.nlm.nih.gov/pubmed/2882529%5Cnhttp://physrev.physiology.org/content/physrev/67/2/440.full.pdf [DOI] [PubMed] [Google Scholar]
- 100.Görg B., Schliess F., Häussinger D. Osmotic and oxidative/nitrosative stress in ammonia toxicity and hepatic encephalopathy. Arch Biochem Biophys. 2013;536(2):158–163. doi: 10.1016/j.abb.2013.03.010. [DOI] [PubMed] [Google Scholar]
- 101.Butterworth R.F. Neuronal cell death in hepatic encephalopathy. Metab Brain Dis. 2007;22(3–4):309–320. doi: 10.1007/s11011-007-9072-3. [DOI] [PubMed] [Google Scholar]
- 102.Norenberg M.D., Rama Rao K.V., Jayakumar A.R. Signaling factors in the mechanism of ammonia neurotoxicity. Metab Brain Dis. 2009;24(1):103–117. doi: 10.1007/s11011-008-9113-6. [DOI] [PubMed] [Google Scholar]
- 103.Felipo V., Butterworth R.F. Neurobiology of ammonia. Prog Neurobiol. 2002;67(4):259–279. doi: 10.1016/s0301-0082(02)00019-9. S0301008202000199 [pii] [DOI] [PubMed] [Google Scholar]
- 104.Liere V., Sandhu G., DeMorrow S. Recent advances in hepatic encephalopathy. F1000Research. 2017;6(0):1637. doi: 10.12688/f1000research.11938.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Rama Rao K.V., Norenberg M.D. Glutamine in the pathogenesis of hepatic encephalopathy: the Trojan horse hypothesis revisited. Neurochem Res. 2014;39(3):593–598. doi: 10.1007/s11064-012-0955-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Braissant O. Current concepts in the pathogenesis of urea cycle disorders. Mol Genet Metab. 2010;100(suppl l):S3–S12. doi: 10.1016/j.ymgme.2010.02.010. [DOI] [PubMed] [Google Scholar]
- 107.Cagnon L., Braissant O. Hyperammonemia-induced toxicity for the developing central nervous system. Brain Res Rev. 2007;56(1):183–197. doi: 10.1016/j.brainresrev.2007.06.026. [DOI] [PubMed] [Google Scholar]
- 108.Bemeur C., Desjardins P., Butterworth R.F. Evidence for oxidative/nitrosative stress in the pathogenesis of hepatic encephalopathy. Metab Brain Dis. 2010;25(1):3–9. doi: 10.1007/s11011-010-9177-y. [DOI] [PubMed] [Google Scholar]
- 109.Bosoi C.R., Rose C.F. Oxidative stress: a systemic factor implicated in the pathogenesis of hepatic encephalopathy. Metab Brain Dis. 2013;28(2):175–178. doi: 10.1007/s11011-012-9351-5. [DOI] [PubMed] [Google Scholar]
- 110.Lemberg A., Fernández M.A. Hepatic encephalopathy, ammonia, glutamate, glutamine and oxidative stress. Ann Hepatol Off J Mex Assoc Hepatol. 2009;8(2):95–102. 887559 [pii] [PubMed] [Google Scholar]
- 111.Albrecht J., Zielińska M., Norenberg M.D. Glutamine as a mediator of ammonia neurotoxicity: a critical appraisal. Biochem Pharmacol. 2010;80(9):1303–1308. doi: 10.1016/j.bcp.2010.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Rama Rao K.V., Jayakumar A.R., Norenberg M.D. Induction of the mitochondrial permeability transition in cultured astrocytes by glutamine. Neurochem Int. 2003;43(4–5):517–523. doi: 10.1016/s0197-0186(03)00042-1. [DOI] [PubMed] [Google Scholar]
- 113.Ott P., Vilstrup H. Cerebral effects of ammonia in liver disease: current hypotheses. Metab Brain Dis. 2014;29(4):901–911. doi: 10.1007/s11011-014-9494-7. [DOI] [PubMed] [Google Scholar]
- 114.Aldridge D.R., Tranah E.J., Shawcross D.L. Pathogenesis of hepatic encephalopathy: role of ammonia and systemic inflammation. J Clin Exp Hepatol. 2015;5(S1):S7–S20. doi: 10.1016/j.jceh.2014.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Coltart I., Tranah T.H., Shawcross D.L. Inflammation and hepatic encephalopathy. Arch Biochem Biophys. 2013;536(2):189–196. doi: 10.1016/j.abb.2013.03.016. [DOI] [PubMed] [Google Scholar]
- 116.Rama Rao K.V., Norenberg M.D. Brain energy metabolism and mitochondrial dysfunction in acute and chronic hepatic encephalopathy. Neurochem Int. 2012;60(7):697–706. doi: 10.1016/j.neuint.2011.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Rao K.V.R., Norenberg M.D. Cerebral energy metabolism in hepatic encephalopathy and hyperammonemia. Metab Brain Dis. 2001;16(June):67–78. doi: 10.1023/a:1011666612822. [DOI] [PubMed] [Google Scholar]
- 118.Butterworth R.F. Effects of hyperammonaemia on brain function. J Inherit Metab Dis. 1998;21(suppl 1):6–20. doi: 10.1023/a:1005393104494. [DOI] [PubMed] [Google Scholar]
- 119.Rackayova V., Braissant O., McLin V.A., Berset C., Lanz B., Cudalbu C. H and P magnetic resonance spectroscopy in a rat model of chronic hepatic encephalopathy: in vivo longitudinal measurements of brain energy metabolism. Metab Brain Dis. 2015 doi: 10.1007/s11011-015-9715-8. [DOI] [PubMed] [Google Scholar]
- 120.Bak L.K., Schousboe A., Waagepetersen H.S. Brain energy and ammonia metabolism. Funct Mol Imag Hepatol. 2012:129–144. [Google Scholar]
- 121.Zwingmann C. Nuclear magnetic resonance studies of energy metabolism and glutamine shunt in hepatic encephalopathy and hyperammonemia. J Neurosci Res. 2007;85(15):3429–3442. doi: 10.1002/jnr.21445. [DOI] [PubMed] [Google Scholar]
- 122.DeMorrow S. Bile acids in hepatic encephalopathy. J Clin Exp Hepatol. 2019;9:117–124. doi: 10.1016/j.jceh.2018.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Shawcross D.L., Wright G., Olde Damink S.W.M., Jalan R. Role of ammonia and inflammation in minimal hepatic encephalopathy. Metab Brain Dis. 2007;22(1):125–138. doi: 10.1007/s11011-006-9042-1. [DOI] [PubMed] [Google Scholar]
- 124.Butterworth R.F. The concept of “the inflamed brain” in acute liver failure: mechanisms and new therapeutic opportunities. Metab Brain Dis. 2016;31(6):1283–1287. doi: 10.1007/s11011-015-9747-0. [DOI] [PubMed] [Google Scholar]
- 125.Wright G., Swain M., Annane D. Neuroinflammation in liver disease: sessional talks from ISHEN. Metab Brain Dis. 2016;31(6):1339–1354. doi: 10.1007/s11011-016-9918-7. [DOI] [PubMed] [Google Scholar]
- 126.Sergeeva O.A. GABAergic transmission in hepatic encephalopathy. Arch Biochem Biophys. 2013;536(2) doi: 10.1016/j.abb.2013.04.005. [DOI] [PubMed] [Google Scholar]
- 127.Jones E.A. Ammonia, the GABA neurotransmitter system, and hepatic encephalopathy. Metab Brain Dis. 2002;17(4):275–281. doi: 10.1023/a:1021949616422. [DOI] [PubMed] [Google Scholar]
- 128.Albrecht J., Sidoryk-Węgrzynowicz M., Zielińska M., Aschner M. Roles of glutamine in neurotransmission. Neuron Glia Biol. 2010;6(04):263–276. doi: 10.1017/S1740925X11000093. [DOI] [PubMed] [Google Scholar]
- 129.Butterworth R.F. Neurotransmitter dysfunction in hepatic encephalopathy: new approaches and new findings. Metab Brain Dis. 2001;16(June):55–65. doi: 10.1023/a:1011614528751. [DOI] [PubMed] [Google Scholar]
- 130.Bosoi C.R., Rose C.F. Elevated cerebral lactate: implications in the pathogenesis of hepatic encephalopathy. Metab Brain Dis. 2014;29(4):919–925. doi: 10.1007/s11011-014-9573-9. [DOI] [PubMed] [Google Scholar]
- 131.Albrecht J., Norenberg M.D. Glutamine: a Trojan horse in ammonia neurotoxicity. Hepatology. 2006;44(4):788–794. doi: 10.1002/hep.21357. [DOI] [PubMed] [Google Scholar]
- 132.Desjardins P., Du T., Jiang W., Peng L., Butterworth R.F. Pathogenesis of hepatic encephalopathy and brain edema in acute liver failure: role of glutamine redefined. Neurochem Int. 2012;60(7):690–696. doi: 10.1016/j.neuint.2012.02.001. [DOI] [PubMed] [Google Scholar]
- 133.Jover R., Rodrigo R., Felipo V. Brain edema and inflammatory activation in bile duct ligated rats with diet-induced hyperammonemia: a model of hepatic encephalopathy in cirrhosis. Hepatology. 2006;43(6):1257–1266. doi: 10.1002/hep.21180. [DOI] [PubMed] [Google Scholar]
- 134.Wright G., Vairappan B., Stadlbauer V., Mookerjee R.P., Davies N.A., Jalan R. Reduction in hyperammonaemia by ornithine phenylacetate prevents lipopolysaccharide-induced brain edema and coma in cirrhotic rats. Liver Int. 2012;32(3):410–419. doi: 10.1111/j.1478-3231.2011.02698.x. [DOI] [PubMed] [Google Scholar]
- 135.Davies N.A., Wright G., Ytrebø L.M. L-ornithine and phenylacetate synergistically produce sustained reduction in ammonia and brain water in cirrhotic rats. Hepatology. 2009 doi: 10.1002/hep.22897. [DOI] [PubMed] [Google Scholar]
- 136.Kreis R., Farrow N., Ross B.D. Localized 1H NMR spectroscopy in patients with chronic hepatic encephalopathy. Analysis of changes in cerebral glutamine, choline and inositols. NMR Biomed. 1991;4(2):109–116. doi: 10.1002/nbm.1940040214. http://www.ncbi.nlm.nih.gov/pubmed/1650239 [DOI] [PubMed] [Google Scholar]
- 137.Taylor-Robinson S.D., Sargentoni J., Marcus C.D., Morgan M.Y., Bryant D.J. Regional variations in cerebral proton spectroscopy in patients with chronic hepatic encephalopathy. Metab Brain Dis. 1994;9(4):347–359. doi: 10.1007/BF02098881. [DOI] [PubMed] [Google Scholar]
- 138.Taylor-Robinson S.D., Oatridge A., Hajnal J.V., Burroughs A.K., McIntyre N., deSouza N.M. MR imaging of the basal ganglia in chronic liver disease: correlation of T1-weighted and magnetisation transfer contrast measurements with liver dysfunction and neuropsychiatric status. Metab Brain Dis. 1995 doi: 10.1007/BF01991864. [DOI] [PubMed] [Google Scholar]
- 139.Laubenberger J., Haussinger D., Bayer S., Gufler H., Hennig J., Langer M. Proton magnetic resonance spectroscopy of the brain in symptomatic and asymptomatic patients with liver cirrhosis. Gastroenterology. 1997;112(5):1610–1616. doi: 10.1016/S0016-5085(97)70043-X. [DOI] [PubMed] [Google Scholar]
- 140.Huda A., Guze B.H., Thomas M.A. Clinical correlation of neuropsychological tests with 1H magnetic resonance spectroscopy in hepatic encephalopathy. Psychosom Med. 1998 Sep–Oct;60(5):550–556. doi: 10.1097/00006842-199809000-00006. [DOI] [PubMed] [Google Scholar]
- 141.Weissenborn K., Ahl B., Fischer-Wasels D. Correlations between magnetic resonance spectroscopy alterations and cerebral ammonia and glucose metabolism in cirrhotic patients with and without hepatic encephalopathy. Gut. 2007;56(12):1736–1742. doi: 10.1136/gut.2006.110569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Singhal A., Nagarajan R., Hinkin C.H. Two-dimensional MR spectroscopy of minimal hepatic encephalopathy and neuropsychological correlates in vivo. J Magn Reson Imag. 2010;32(1):35–43. doi: 10.1002/jmri.22216. [DOI] [PubMed] [Google Scholar]
- 143.Forton D.M., Patel N., Prince M. Fatigue and primary biliary cirrhosis: association of globus pallidus magnetisation transfer ratio measurements with fatigue severity and blood manganese levels. Gut. 2004;53(4):587–592. doi: 10.1136/gut.2003.016766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Miese F., Kircheis G., Wittsack H.J. 1H-MR spectroscopy, magnetization transfer, and diffusion-weighted imaging in alcoholic and nonalcoholic patients with cirrhosis with hepatic encephalopathy. Am J Neuroradiol. 2006;27(5):1019–1026. 27/5/1019 [pii] [PMC free article] [PubMed] [Google Scholar]
- 145.Poveda M.J., Bernabeu Á., Concepción L. Brain edema dynamics in patients with overt hepatic encephalopathy. A magnetic resonance imaging study. Neuroimage. 2010;52(2):481–487. doi: 10.1016/j.neuroimage.2010.04.260. [DOI] [PubMed] [Google Scholar]
- 146.Mcphail M.J.W., Dhanjal N.S., Grover V.P., Taylor-robinson S.D., Street S.W. Letters to the Editor Ammonia and cerebral water . Importance of structural analysis of the brain in hepatic encephalopathy Reply to: ‘“Ammonia and cerebral water . Importance of structural analysis of the brain in hepatic encephalopathy”’ C reactive. J Hepatol. 2012;56(mI):506–507. doi: 10.1016/j.jhep.2011.06.018. [DOI] [PubMed] [Google Scholar]
- 147.Oeltzschner G., Butz M., Wickrath F., Wittsack H.J., Schnitzler A. Covert hepatic encephalopathy: elevated total glutathione and absence of brain water content changes. Metab Brain Dis. 2016;31(3):517–527. doi: 10.1007/s11011-015-9760-3. [DOI] [PubMed] [Google Scholar]
- 148.Ahluwalia V., Wade J.B., Moeller F.G. The etiology of cirrhosis is a strong determinant of brain reserve: a multimodal magnetic resonance imaging study. Liver Transplant. 2015;21(9):1123–1132. doi: 10.1002/lt.24163. [DOI] [PMC free article] [PubMed] [Google Scholar]