Skip to main content
Journal of Neurosciences in Rural Practice logoLink to Journal of Neurosciences in Rural Practice
. 2021 Mar 24;12(2):281–289. doi: 10.1055/s-0041-1722820

MRI Spectrum of Japanese Encephalitis in Northeast India: A Cross-Sectional Study

Pranjal Phukan 1, Kalyan Sarma 2, Barun Kumar Sharma 3, Deb K Boruah 4,, Bidyut Bikash Gogoi 5, Daniala Chuunthang 1
PMCID: PMC8079177  PMID: 33935446

Abstract

Objective  Japanese encephalitis (JE) is an arthropod-borne flavivirus infection having high mortality and morbidity. This study was performed to evaluate the conventional magnetic resonance imaging (MRI) findings in JE and to find out any difference between pediatric and adult JE.

Materials and Methods  This retrospective study was performed on serologically positive 54 JE patients presented to a tertiary care hospital with acute encephalitic symptoms between April 2016 and October 2019. Relevant neurological examination, cerebrospinal fluid analysis, and MRI scan of the brain were performed.

Results  Fifty-four JE patients ( n = 31 males and n = 23 females) having 32 pediatric and 22 adult JE were included in the study sample. Group 1 JE ( n = 16) patients had encephalitic symptoms with duration less than 15 days up to the day of MRI scan and group 2 JE ( n = 38) had symptoms more than 15 days. Group 1 JE had mean apparent diffusion coefficient (ADC) value of 0.563 ± 0.109 (standard deviation [SD]) × 10 –3 mm 2 /sec and group 2 JE had 1.095 ± 0.206 (SD) × 10 –3 mm 2 /sec. The mean ADC value of pediatric JE was 0.907 ± 0.336 (SD) × 10 –3 mm 2 /sec and adult JE was 0.982 ± 0.253 (SD) × 10 –3 mm 2 /sec.

Conclusion  The majority of the JE patient shows abnormal signal alterations in bilateral thalami and substantia nigra. Diffusion-weighted imaging with ADC mapping helps in evaluating the stage of the JE. No statistical significance of the various conventional MRI findings was found between the pediatric JE and adult JE.

Keywords: magnetic resonance imaging, acute encephalitic syndrome, encephalitis, diffusion-weighted imaging, autoimmune disease

Introduction

Japanese B encephalitis (JE) is one of the mosquito-borne flaviviral infections that is transmitted through mosquito bites. JE is one of the common causes of acute encephalitis syndrome (AES). JE is a common health problem in countries like Japan, Korea, and India. 1 Recurrent outbreak of JE are reported annually, between the month of July and October from the districts of upper Assam of Northeast India. 2 JE had an estimated annual incidence of 30,000 to 50,000 and had 15,000 deaths per year in children below 15 years in India. 3 5

In the endemic area, children below 15 years of age are more vulnerable and even more prone in 3 to 6 years of age. 5

The majority of the infection is asymptomatic, with only 20 to 30% of patients presenting with overt symptoms or fatality. 6 About 30 to 50% of survivors of acute severe JE had long-term abnormal neurological, behavioral, cognitive sequelae, and extrapyramidal syndrome, especially in children. 3 6 The case fatality rate of acute severe symptomatic JE patients increases up to 30%. 6

The JE lesions are commonly observed in thalami, substantia nigra, and basal ganglia with less involvement of brain stem, cerebral cortices, cerebellum, cerebral white matters, and spinal cord. 4 7 However, the distribution, extent, number of involved sites, and sizes of these lesions might vary in the pediatric JE and adult JE.

Moreover, T2 weighted image (T2WI) hyperintensities in thalami have high specificity for JE in the endemic area. 4 8 The most common differentials of thalamic T2WI hyperintensities include hypoxic-ischemic encephalopathy, Wernicke’s encephalopathy, herpes encephalitis, Wilson’s disease, deep vein thrombosis, artery of Percheron infarct, Creutzfeldt-Jakob disease (CJD), and other flavivirus encephalitis, such as, dengue encephalitis and West Nile encephalitis. 9

Atypically, JE with temporal lobe dominance can be difficult to differentiate from herpes encephalitis and autoimmune encephalitis. 10 Autoimmune encephalitis most commonly affects bilateral mesial temporal lobes and limbic systems with less involvement of lateral temporal lobe and insular cortices with typical presentation of gradual short-term memory loss and mental status changes without acute encephalitic symptoms. 11 Typical involvement of medial temporal lobes, insular cortex, and orbitofrontal lobes was observed in herpes simplex virus 1. The posterior medial thalamus is commonly involved in JE whereas the anterior lateral thalamus is involved in Wilson disease. 12 JE can also cause deep venous sinus thrombosis in children. 13 14 Furthermore, the bilateral thalamic T2W hyperintensities in deep vein thrombosis is usually associated with hemorrhages. 15 The typical magnetic resonance imaging (MRI) findings of CJD show symmetrical bilateral posterior thalamic T2W hyperintensities giving “pulvinar sign” and dorsomedial thalamic nuclei hyperintensities giving “hockey stick sign.” 16 17 Also, lack of fever and other acute encephalic symptoms in CJD helps to differentiate it from acute JE. 16 17

The distribution, extension, number of involved sites, and sizes of these lesions might vary in pediatric and adult JE. These differences in MRI abnormalities in pediatric and adult JE might help in neuroradiological diagnosis, and possibly have implications on treatment plans.

This study was performed to evaluate the conventional MRI findings in JE and to find out any difference between pediatric and adult JE.

Materials and Methods

A retrospective cross-sectional study was conducted at our institution on serologically positive 54 JE patients presented with acute encephalitic symptoms between April 2016 and October 2019. This retrospective study was approved by the institutional ethics review committee.

MRI Protocols

The patients underwent an MRI scan of the brain, using a 1.5T MR scanner, Siemens Magnetom Avanto (Siemens Medical Systems, Erlangen, Germany). Conventional MRI sequences protocol includes axial T1WI, T2WI, fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and susceptibility-weighted imaging (SWI) sequences followed by sagittal T1WI and coronal T2WI sequences. Post-gadolinium T1WI sequences were obtained in all three planes. The parameters of the various MRI sequences used are shown in Table 1 .

Table 1. Showing parameters used in various conventional MRI sequences.

MRI sequence TE (ms) TR (ms) Matrix Field of view
(FOV)
Slice thickness (mm) Flip angle Others
Abbreviations: DWI, diffusion-weighted imaging; FLAIR, fluid-attenuated inversion recovery; MRI, magnetic resonance imaging; SWI, susceptibility weighted imaging; TE, time of echo; TI, time of inversion; TR, repetition time.
T2W axial 90–110 3,800–6,000 512 220–250 5 150°
T1W axial 8–10 500–600 512 220–250 5 150°
FLAIR axial 90–100 9,000 512 220–250 5 150° TI = 2,500 ms
DWI axial 90–110 3,000–4,000 128 220–250 5 90° b -value = 0 and 1,000 sec/mm 2
SWI axial 40 50–60 256 220–250 2 15°
T1W sagittal 8–10 500–600 256 220–250 4 90°
T2W coronal 80–95 4,000–6,000 512 220–250 4 150°

Serological Test

Confirmation of JE was established by immunoglobulin M antibodies positivity to the JE virus in cerebrospinal fluid and serum samples by enzyme-linked immunosorbent assay technique.

Apparent Diffusion Coefficient Calculation

The apparent diffusion coefficient (ADC) values were measured independently by two radiologists and the results were obtained from the mean ADC values. Calculation of the mean ADC values was done by placing either round or elliptical regions of interest (ROIs). We measured the mean ADC value in the operating system console using three uniform size ROIs (with area: maximum 50 mm 2 and minimum 10 mm 2 ) placed in the ADC map image of b = 1,000 sec/mm 2 , and the mean ADC value was calculated for statistical analysis.

Statistical Analysis

All statistical analysis was performed using Statistical Package for Social Science (SPSS, version 16). A nonparametric Wilcoxon rank test was performed to find out the difference between group 1 and group 2 of JE patients. An independent sample Student’s t -test was used to compare the mean ADC values between pediatric and adult JE patients. Statistical significance was considered when the p -value was ≤ 0.05.

Results

Of the 54 JE patients of our study, 31 were males and 23 were females with a mean age of 22.9 ± 1.9 (standard deviation [SD) years. The age range was 7 months to 73 years. Patients aged less than 18 years were categorized into pediatric JE ( n = 32) group and those above 18 years into adult JE ( n = 22) group. JE patients with duration of onset of acute encephalitic symptoms like high fever, headache, neck stiffness, and altered mental status less than 15 days up to the day of MRI scan were categorized into group 1 JE ( n = 16) and those more than 15 days into group 2 JE ( n = 38). The mean day of MRI examination from the time of onset of acute encephalitic symptoms was 14.3 ± 4.6 (SD). Group 1 JE comprised of 16 patients (29.6%) and group 2 JE comprised of 38 patients (73.4%).

Diffusion restriction with low ADC value means the true diffusion restriction in acute JE patients. It indicates that group 1 JE patients (► Figs. 1 and 2 )were imaged at the stage of perivascular cuffing leading to ischemic and cytotoxic edema, which resulted in true diffusion restriction. Statistical significance was found between the duration of symptoms onset up to the day of MRI examination and mean ADC values of JE lesions with p -value < 0.0005 by using nonparametric two related samples Wilcoxon signed rank test. The various brain MRI findings of JE are summarized in Table 2 .

Fig. 1.

Fig. 1

Cranial magnetic resonance imaging was done on day 9 on 28 female patients with acute encephalitic symptoms. Axial T2WI ( A and B ) and sagittal T2WI ( C ) images showing asymmetrical hyperintensities in bilateral substantia nigra and thalami with the affection of the right insular cortex. Axial fluid-attenuated inversion recovery image ( D ) also showing the abnormalities. Axial diffusion-weighted imaging ( E ) and apparent diffusion coefficient ( ADC ) map ( F ) images showing diffusion restrictions in the affected regions with low ADC value (arrow).

Fig. 2.

Fig. 2

Cranial magnetic resonance imaging was done on day18 on an 11 years old female with fever and headache. Axial T2WI ( A and B ) and axial fluid-attenuated inversion recovery ( C ) images showing hyperintensities in bilateral thalami, substantia nigra, and left caudate head along with a central T2 hyperintense and peripheral hypointense cyst in the left frontal lobe with perifocal edema. Axial T1W postcontrast image ( D ) showing rim enhancement of the left frontal lobe neurocysticercosis lesion (arrow). Axial diffusion-weighted imaging ( E ) and apparent diffusion coefficient map ( F ) images showing facilitated diffusion in the thalami (black arrow).

Table 2. Few literature review of MRI findings in JE from India.

Parameters Kalita et al, 2003 31 Basumatary et al, 2013 18 Borah et al, 2015 29 Agarwal et al, 2018
30
Our study
Abbreviations: JE, Japanese encephalitis; MRI, magnetic resonance imaging; NCC, neurocysticercosis.
No of patients underwent MRI Pediatric JE ( n = 24) Adult JE ( n = 32) Pediatric JE ( n = 23) Adult JE ( n = 34) Pediatric JE ( n = 21) Pediatric JE ( n = 25) Combined pediatric and
adult JE ( n = 54)
Pediatric JE ( n = 32) Adult JE ( n = 22)
Mean age 12.9 ± 1.9 (SD) y 9.7 ± 5.4 (SD) y 42.2 ± 1.5 (SD) y
Thalamic involvement 21/24 (87.5%) 28/32 (87.5%) 13/23 (56.5%) 23/34 (67.7%) 14/21 (66.7%) 16/25(64%) 53/54 (98.1%) 31/32 (96.9%) 22/22 (100%)
Unilateral 38.1% 1/54 (1.9%) 1/32 (3.1%)
Bilateral symmetrical 33.3% 4/54 (7.4%) 2/32 (6.2%) 2/22 (9.1%)
Bilateral asymmetrical 28.6% 48/54 (88.9%) 28/32 (87.5%) 20/22 (90.9%)
Midbrain (substantia nigra) involvement 11/24 (45.8%) 9/32 (28.1%) 10/23 (43.5%) 7/34 (20.6%) 11/21 (52.4%) 12/25(48%) 44/54 (81.5%) 25/32 (78.1%) 19/22 (86.4%)
Bilateral symmetrical 12/54 (22.2%) 7/32 (21.9%) 5/22 (22.2%)
Bilateral asymmetrical 30/54 (59.3%) 18/32 (56.2%) 14/22 (63.6%)
Basal ganglia involvement 13/24 (54.2%) 13/32 (40.6%) 6/23 (26%) 10/34 (29.4%) 3/25 (12%) 33/54 (61.1%) 16/32 (50%) 16/22 (72.7%)
Caudate nucleus involvement 22/54 (40.7%) 11/32 (34.4%) 11/22 (50%)
Unilateral 6/54 (11.1%) 4/32 (12.5%) 2/22 (9.1%)
Bilateral symmetrical 8/54 (14.8%) 4/32 (12.5%) 4/22 (18.2%)
Bilateral asymmetrical 8/54 (14.8%) 3/32 (9.4%) 5/22 (22.7%)
Lentiform nucleus involvement 29/54 (53.7%) 15/32 (46.9%) 14/22 (63.6%)
Unilateral 10/54 (18.5%) 5/32 (15.6%) 5/22 (22.7%)
Bilateral symmetrical 4/54 (7.4%) 3/32 (9.4%) 1/22 (4.5%)
Bilateral asymmetrical 15/54 (27.8%) 7/32 (21.9%) 8/22 (36.4%)
Hippocampus involvement 2/23 (8.7%) 8/34 (23.5%) 1/21 (5) 14/54 (26%) 7/32 (21.9%) 7/22 (31.8%)
Unilateral 9/54 (16.7%) 4/32 (12.5%) 5/22 (22.7%)
Bilateral 5/54 (9.3%) 3/32 (9.4%) 2/22 (9.1%)
Insular cortex involvement 1/23 (4.3%) 2/21 (9.5%) 2/54 (3.7%) 1/32 (3.1%) 1/22 (4.5%)
Cerebral cortex involvement 6/24 (25%) 7/32 (21.9%) 9/23 (39.1%) 7/34 (20.6%) 6/21 (28.6%) 6/25 (24%) 21/54 (38.9%) 14/32 (43.7%) 7/22 (31.8%)
Pontine involvement 2/24 (8.3%) 3/32 (9.3%) 5/23 (21.7%) 5/34 (14.7%) 5/54 (9.3%) 3/32 (9.4%) 2/22 (9.1%)
Medulla involvement 3/54 (5.6%) 2/32 (6.2%) 1/22 (4.5%)
Coinfection with NCC 3/24 (12.5%) 3/23 (13%) 4/34 (11.8%) 10/21 (47.6%) 12/54 (22.2%) 7/32 (21.8%) 5/22 (22.7%)

Pediatric JE patients had mean ADC value of 0.907 ± 0.336 (SD) × 10 –3 mm 2 /s and adult JE had 0.982 ± 0.253 (SD) × 10 –3 mm 2 /s. No difference was found between the mean ADC value of pediatric JE and adult JE patients by using an independent sample Student’s t -test ( p -value of 0.388). Group 1 JE had a mean ADC value of 0.563 ± 0.109 (SD) × 10 –3 mm 2 /s and group 2 JE had 0.095 ± 0.206 (SD) × 10 –3 mm 2 /s with a significant difference between these two groups by using the Wilcoxon signed-rank test ( p -value < 0.0005).

T2WI and FLAIR thalamic hyperintensities were demonstrated in 53 patients (98.1%), bilaterally asymmetrical in 48 patients (88.9%) ( Figs. 1 and 2 ), bilaterally symmetrical in 4 patients (7.4%), and unilateral in another 1 patient (1.9%). Bilateral substantia nigra involvement was observed in 44 patients (81.5%), bilaterally asymmetrical in 30 patients (59.3%) ( Fig. 1 ), and bilaterally symmetrical in 12 patients (22.2%) ( Fig. 2 ). Hippocampal involvement was observed in 14 patients (26%), unilateral in 9 patients (16.7%), and bilateral in 5 patients (9.3%). Total hippocampal involvement was observed in 4 patients (7.4%), hippocampal head and body involvement in 7 patients (13%), and only tail involvement in 3 patients (5.6%). Caudate nuclei involvement was observed in 22 patients (40.7%), bilaterally symmetrical in 8 patients (14.8%) ( Fig. 3 ), bilaterally asymmetrical in 8patients (14.8%), and unilateral in 6 patients (11.1%) ( Fig. 2 ). Lentiform nuclei involvement was observed in 29 patients (53.7%), bilaterally asymmetrical in 15 patients (27.8%), bilaterally symmetrical in 4 patients (7.4%) ( Figs. 3 and 4 ), and unilateral in 10 patients (18.5%). Insular cortex involvement was observed in 2 patients (3.8%) ( Fig. 1 ). Cerebral cortex involvement was observed in 21 patients (38.9%), with single cerebral hemispheric involvement observed in 13 patients (24.1%) ( Fig. 5 ) and bilateral cerebral hemispheric involvement in 8 patients (14.8%).

Fig. 3.

Fig. 3

Cranial magnetic resonance imaging was done on day 6 on a 7-month-old male baby with acute encephalitic symptoms. Axial T2WI ( A and B ) and coronal T2WI ( C ) images showing hyperintensities in bilateral putamen, caudate nuclei, and substantia nigra without involvement of thalami. Axial T1WI image ( D ) showing patchy T1 hyperintense bleeds in the bilateral putamen. Axial diffusion-weighted imaging ( E ) and apparent diffusion coefficient ( ADC ) map ( F ) images showing diffusion restrictions with low ADC value.

Fig. 4.

Fig. 4

Cranial magnetic resonance imaging was done on day 5 on a 9 years old male with headache and fever. Axial T2WI images ( AC ) showing hyperintensities in basilar pons, bilateral substantia nigra, caudate, and lentiform nuclei. Axial fluid-attenuated inversion recovery images ( DF ) showing hyperintensities in the basilar portion of pons (arrow), bilateral caudate, and lentiform nuclei.

Fig. 5.

Fig. 5

Cranial magnetic resonance imaging was done on day 7 on a 5-year-old boy with acute encephalitic symptoms. Axial T2WI ( A ) image showing hyperintensities in the bilateral thalami. Axial fluid-attenuated inversion recovery ( FLAIR ) images ( B and C ) showing hyperintensities in the cortical and subcortical regions of right superior frontoparietal lobes. Axial diffusion-weighted imaging ( D ) showing diffusion restrictions in the affected cortices. Apparent diffusion coefficient ( ADC ) map ( E and F ) images showing pronounced hypointense signals of low ADC value in the subcortical white matters of right superior frontoparietal lobes and overlying cortices (arrow).

Cerebral cortex involvement in more than one lobe of the cerebral hemisphere was observed in 9 patients (16.7%) ( Fig. 5 ) with only frontal lobe cortical involvement observed in another 8 patients (14.8%). Involvement of pons was observed in 5 patients (9.3%) ( Fig. 4 ) and medulla oblongata involvement in 3 patients (5.6%). On SWI, thalamic microbleeds were observed in 2 JE patients (3.7%).

JE coinfection with neurocysticercosis (NCC) was observed in 12 patients (22.2%) ( Fig. 2 ), with the involvement of one cerebral hemisphere in 6 patients (11.1%) and bilateral cerebral hemispheres in another 6 patients (11.1%).

Discussion

Abnormal T2 and FLAIR hyperintensities of typical JE may be observed in thalami, 4 7 18 19 substantia nigra, basal ganglia, 19 21 hippocampus, and pons and less commonly in the cortical and subcortical regions 4 8 22 and cerebellar hemisphere. The conventional MRI sequences like T2WI, FLAIR, and DWI can detect most of the abnormalities in JE patients. 22 However, in newborns and infants, DWI can detect acute encephalitic lesions, much earlier than conventional T2WI and FLAIR sequences. 23 This is because of more water content in the immature brain leading to problems with achieving conspicuity between the normal brain and encephalitic lesions in T2WI and FLAIR images. 23 DWI can detect cytotoxic edema which is the earliest sign of any encephalitic process. Thus, DWI is more sensitive in early cases of JE but less sensitive in late cases of JE. 23 Consequently, DWI can detect brain parenchymal changes in JE within few hours or 1 day before any demonstrable changes are observed in T2WI and FLAIR images. 23 Acute stage of JE shows diffusion restriction with low ADC value. 24 ADC value gradually increases after the late acute stage and remains higher in the chronic stage. 24

Arahata et al 25 demonstrated the successive changes in DWI on MRI in the thalamus ranging from spotty appearance to uniform pattern and also emphasized that the JE virus may initially affect the unilateral thalamus with subsequent involvement of the other side.

Another study showed progressive T2 and FLAIR hyperintensities in the thalami in the early stage of the disease. 26 With the subsequent progression of JE, the T2 shrine-through effect is observed in the lesions in the subacute stage, with gradually increasing ADC value and fogging of bright signals on diffusion-weighted images. In the chronic stage, the affected areas showed gliosis, cavitations, and atrophy. 25 The resolution of T2 and FLAIR hyperintensities usually occurred within 1 to 3 months of clinical recovery but may persist for a longer course, sometimes even up to 1 year. 8 A repeat follow-up MRI, should usually be done after 1 to 3 months of clinical recovery of JE patient. 8

MRI plays an important role in the radiological diagnosis of JE, by detecting the distribution, extension, and status of the parenchymal lesions (whether acute, subacute, or chronic), and excluding other AES-induced encephalitis. Even though overlap imaging features of herpes encephalitis, autoimmune encephalitis, and temporal lobe dominant JE are there, but these can be differentiated by MRI by observing the simultaneously altered signal intensities in the thalami, substantia nigra, and hippocampus in JE patients. 7 10 27 28

In our study group, substantia nigra affection was commonly observed in 81.5% (44/54) patients as compared with the previous literature from India. 18 29 31 Table 2 shows the review literature on MRI findings of JE from India in the last decade. In our study group, medial temporal lobe involvement with dominant hippocampal affection was observed in 26% (14/54) patients. Handique et al 28 found hippocampal involvement in 11 out of 62 JE patients (17.7%).

The characteristic temporal lobe involvement pattern which is seen in JE typically affects the hippocampus, especially its body and tail with sparing of the rest of the temporal lobe.

Previous literature showed a variable association of JE with NCC. 32 33 Handique et al 32 found JE with NCC coinfection in 19.3% (12/62) patients from Northeast India. In our study group, JE coinfection with NCC was found in 22.2% (12/54) patients. Moreover, five of these patients showed more confluent T2 hyperintensities in thalami, basal ganglia, and cerebral cortices in the NCC involved hemisphere. Furthermore, out of these 12 patients, poor clinical and neurological recovery was observed in 5 patients, with partial recovery in another 4 patients, and complete recovery in the rest of the 3 patients, on a follow-up period ranging from 12 to 18 months.

Sivamani et al 34 reported JE coinfection with dengue virus infection in the same population as the transmission of both viruses intensifies during the rainy season. Dengue encephalitis most commonly showed abnormal T2 and FLAIR hyperintensities with restricted diffusions in thalami and basal ganglia. Less commonly pons, medulla, cerebellum, corpus callosum, and cerebral cortex can also be involved in dengue. 35 Intraparenchymal or extra-axial bleed is more common in dengue encephalitis than JE. Cerebellitis may also be associated with dengue encephalitis. 35 Table 3 summarizes the MR imaging findings in common flavivirus encephalitis.

Table 3. Summary of magnetic resonance imaging findings in common flavivirus encephalitis.

Type Sites of affection Cranial MRI findings Associated findings
Abbreviations: CVST, cerebral venous sinus thrombosis; FLAIR, fluid-attenuated inversion recovery; JE, Japanese encephalitis; MRI, magnetic resonance imaging.
Japanese encephalitis - Thalami and substantia nigra are commonly involved
- Basal ganglia, pons, cerebral cortex, and cerebellum are sometime involved
- T2 and FLAIR hyperintensities in the affected areas with diffusion restricted in early acute stage and facilitated diffusion in subacute stage
- Rarely hemorrhage can be seen in JE
- Neurocysticercosis coinfection
- Rarely dengue coinfection can occur
- Rarely may associated with CVST
Dengue encephalitis - Thalami and basal ganglia are commonly affected
- Pons, medulla, cerebellum, corpus callosum, and cerebral cortex can be involved
- T2 and FLAIR hyperintensities with restricted diffusion
- Parenchymal or extra-axial bleed can be seen and which is more common in dengue encephalitis than JE
- Diffuse cerebral edema may be seen
- Cerebellitis is more common
- Cortical laminar necrosis
West Nile encephalitis - Brain stem, basal ganglia, and corona radiata commonly affected
- Thalami, cerebral cortex, an white matters may be involved
- Isolated diffusion restrictions in posterior limb of internal capsule/corona radiata
- T2 and FLAIR hyperintensities in brain stem, basal ganglia, thalami, etc.
- Meningitis changes seen
- Enhancement of cauda equina and lumbosacral nerve roots
- Spinal cord T2 hyperintensities can be seen
Tick-borne encephalitis - Cerebellum commonly affected
- Thalami, basal ganglia, and anterior horn cell of spinal cord may be affected
- Leptomeningitis along cerebellar folia and basal cisterns
- T2 and FLAIR hyperintensities in thalami, basal ganglia, and cerebellum
Murray Valley encephalitis
(Australian encephalitis)
- Thalami and brain stem commonly affected - Bilateral symmetrical T2 and FLAIR hyperintensities in thalami and brain stem
St. Louis encephalitis - Substantia nigra most commonly affected - T2 hyperintensities in substantia nigra -Myelitis can be seen rarely

JE with cerebral venous sinus thrombosis (CVST) is a rare occurrence with very few cases reports in the literature. 36 38 In our study group, no CVST was detected.

Our study observed a higher incidence of multifocal lesions with greater involvement of cerebral cortices in pediatric JE compared with adult JE patients. However, no significant difference was observed between the cranial MRI findings in pediatric and adult JE patients ( Table 2 ).

The lack of adequate statistical power in our observations to discriminate differences in MRI findings between pediatric and adult JE is most probably due to the small sample size. Nevertheless, these differences in the MRI findings between the pediatric and adult JE may be clinically significant in predicting the clinical outcome and neurological recovery, and might help in treatment planning. Therefore, a larger prospective study to confirm these findings is warranted in the future.

Conclusion

Pediatric JE has a more severe form of encephalitis than adult JE with a poorer prognosis. No statistically significant difference in various brain MRI findings was observed between pediatric JE and adult JE. But a higher incidence of multifocal parenchymal lesions with greater involvement of cerebral cortices in pediatric JE as compared to adult JE was observed in our study group.

Footnotes

Conflict of Interest None declared.

References

  • 1.Monath T P. Japanese encephalitis–a plague of the Orient. N Engl J Med. 1988;319(10):641–643. doi: 10.1056/NEJM198809083191009. [DOI] [PubMed] [Google Scholar]
  • 2.Dutta P, Khan S A, Khan A M, Borah J, Sarmah C K, Mahanta J. The effect of insecticide-treated mosquito nets (ITMNs) on Japanese encephalitis virus seroconversion in pigs and humans. Am J Trop Med Hyg. 2011;84(03):466–472. doi: 10.4269/ajtmh.2011.10-0270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Solomon T. Viral encephalitides in Southeast Asia. Neurol Infect Epidemiol. 1997;2:191–199. [Google Scholar]
  • 4.Kalita J, Misra U K. Comparison of CT scan and MRI findings in the diagnosis of Japanese encephalitis. J Neurol Sci. 2000;174(01):3–8. doi: 10.1016/s0022-510x(99)00318-4. [DOI] [PubMed] [Google Scholar]
  • 5.Kumar R, Mathur A, Kumar A, Sharma S, Chakraborty S, Chaturvedi U C. Clinical features & prognostic indicators of Japanese encephalitis in children in Lucknow (India) Indian J Med Res. 1990;91:321–327. [PubMed] [Google Scholar]
  • 6.Yun S I, Lee Y M. Japanese encephalitis: the virus and vaccines. Hum Vaccin Immunother. 2014;10(02):263–279. doi: 10.4161/hv.26902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kumar S, Misra U K, Kalita J, Salwani V, Gupta R K, Gujral R. MRI in Japanese encephalitis. Neuroradiology. 1997;39(03):180–184. doi: 10.1007/s002340050388. [DOI] [PubMed] [Google Scholar]
  • 8.Dung N M, Turtle L, Chong W K et al. An evaluation of the usefulness of neuroimaging for the diagnosis of Japanese encephalitis. J Neurol. 2009;256(12):2052–2060. doi: 10.1007/s00415-009-5249-5. [DOI] [PubMed] [Google Scholar]
  • 9.Hegde A N, Mohan S, Lath N, Lim C CT. Differential diagnosis for bilateral abnormalities of the basal ganglia and thalamus. Radiographics. 2011;31(01):5–30. doi: 10.1148/rg.311105041. [DOI] [PubMed] [Google Scholar]
  • 10.Misra U K, Kalita J. A comparative study of Japanese and herpes simplex encephalitides. Electromyogr Clin Neurophysiol. 1998;38(01):41–46. [PubMed] [Google Scholar]
  • 11.Oyanguren B, Sánchez V, González F J et al. Limbic encephalitis: a clinical-radiological comparison between herpetic and autoimmune etiologies. Eur J Neurol. 2013;20(12):1566–1570. doi: 10.1111/ene.12249. [DOI] [PubMed] [Google Scholar]
  • 12.Saha M, Kumar S, Das A, Gupta R K. Similarities and differences of MR findings between Japanese encephalitis and Wilson’s disease. Eur Radiol. 2002;12(04):872–876. doi: 10.1007/s003300101058. [DOI] [PubMed] [Google Scholar]
  • 13.Bousser M G, Ferro J M. Cerebral venous thrombosis: an update. Lancet Neurol. 2007;6(02):162–170. doi: 10.1016/S1474-4422(07)70029-7. [DOI] [PubMed] [Google Scholar]
  • 14.Kashyap A S, Anand K P, Kashyap S. Thrombosis of the cerebral veins and sinuses. N Engl J Med. 2005;353(03):314–315. [PubMed] [Google Scholar]
  • 15.Ameridou I, Spilioti M, Amoiridis G. Bithalamic infarcts: embolism of the top of basilar artery or deep cerebral venous thrombosis? Clin Neurol Neurosurg. 2004;106(04):345–347. doi: 10.1016/j.clineuro.2004.01.004. [DOI] [PubMed] [Google Scholar]
  • 16.Zeidler M, Sellar R J, Collie D A et al. The pulvinar sign on magnetic resonance imaging in variant Creutzfeldt-Jakob disease. Lancet. 2000;355(92/13):1412–1418. doi: 10.1016/s0140-6736(00)02140-1. [DOI] [PubMed] [Google Scholar]
  • 17.Tschampa H J, Mürtz P, Flacke S, Paus S, Schild H H, Urbach H. Thalamic involvement in sporadic Creutzfeldt-Jakob disease: a diffusion-weighted MR imaging study. AJNR Am J Neuroradiol. 2003;24(05):908–915. [PMC free article] [PubMed] [Google Scholar]
  • 18.Basumatary L J, Raja D, Bhuyan D, Das M, Goswami M, Kayal A K.Clinical and radiological spectrum of Japanese encephalitis J Neurol Sci 2013325(1-2)15–21. [DOI] [PubMed] [Google Scholar]
  • 19.Verma R. MRI features of Japanese encephalitis. BMJ Case Rep. 2012;2012:bcr0320126088. doi: 10.1136/bcr.03.2012.6088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Shoji H, Kida H, Hino H et al. Magnetic resonance imaging findings in Japanese encephalitis. White matter lesions. J Neuroimaging. 1994;4(04):206–211. doi: 10.1111/jon199444206. [DOI] [PubMed] [Google Scholar]
  • 21.Abe T, Kojima K, Shoji H et al. Japanese encephalitis. J Magn Reson Imaging. 1998;8(04):755–761. doi: 10.1002/jmri.1880080402. [DOI] [PubMed] [Google Scholar]
  • 22.Misra U K, Kalita J, Phadke R V et al. Usefulness of various MRI sequences in the diagnosis of viral encephalitis. Acta Trop. 2010;116(03):206–211. doi: 10.1016/j.actatropica.2010.08.007. [DOI] [PubMed] [Google Scholar]
  • 23.Baringer J R. Oxford: Butterworth-Heinemann; 2000. Herpes simplex virus encephalitis; pp. 139–164. [Google Scholar]
  • 24.Prakash M, Kumar S, Gupta R K. Diffusion-weighted MR imaging in Japanese encephalitis. J Comput Assist Tomogr. 2004;28(06):756–761. doi: 10.1097/00004728-200411000-00005. [DOI] [PubMed] [Google Scholar]
  • 25.Arahata Y, Fujii K, Nishimura T, Uchida T, Kitazawa K, Honda A. Longitudinal magnetic resonance imaging changes in Japanese encephalitis. Brain Dev. 2019;41(08):731–734. doi: 10.1016/j.braindev.2019.04.005. [DOI] [PubMed] [Google Scholar]
  • 26.Keng L T, Chang L Y. Japanese encephalitis. CMAJ. 2018;190(21):E657. doi: 10.1503/cmaj.171341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Sener R N. Diffusion MRI in Rasmussen’s encephalitis, herpes simplex encephalitis, and bacterial meningoencephalitis. Comput Med Imaging Graph. 2002;26(05):327–332. doi: 10.1016/s0895-6111(02)00028-9. [DOI] [PubMed] [Google Scholar]
  • 28.Handique S K, Das R R, Barman K et al. Temporal lobe involvement in Japanese encephalitis: problems in differential diagnosis. AJNR Am J Neuroradiol. 2006;27(05):1027–1031. [PMC free article] [PubMed] [Google Scholar]
  • 29.Borah P, Dhingani D D, Gogoi R K. MR imaging spectrum of Japanese B Encephalitis in the pediatric age group. J Evol Med Dental Sci. 2015;4(93):15863–15867. [Google Scholar]
  • 30.Agarwal S L, Ghosh M, Afroze S, Palit A, Ghosh A, Nayek K. Neuroimaging evaluation of pattern of brain involvement in Japanese encephalitis and other viral encephalitis in paediatric age group. Int J Biomed Res. 2018;09(04):132–136. [Google Scholar]
  • 31.Kalita J, Misra U K, Pandey S, Dhole T N. A comparison of clinical and radiological findings in adults and children with Japanese encephalitis. Arch Neurol. 2003;60(12):1760–1764. doi: 10.1001/archneur.60.12.1760. [DOI] [PubMed] [Google Scholar]
  • 32.Handique S K, Das R R, Saharia B, Das P, Buragohain R, Saikia P. Coinfection of Japanese encephalitis with neurocysticercosis: an imaging study. Am J Neuroradiol. 2008;29(01):170–175. doi: 10.3174/ajnr.A0769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Singh P, Kalra N, Ratho R K, Shankar S, Khandelwal N, Suri S. Coexistent neurocysticercosis and Japanese B encephalitis: MR imaging correlation. AJNR Am J Neuroradiol. 2001;22(06):1131–1136. [PMC free article] [PubMed] [Google Scholar]
  • 34.Sivamani K, Dhir V, Singh S, Sharma A. Diagnostic dilemma-dengue or Japanese encephalitis? Neurol India. 2017;65(01):105–107. doi: 10.4103/0028-3886.198194. [DOI] [PubMed] [Google Scholar]
  • 35.Md Noh M SF, Rashid A M, Zaidi W A, Khoo C S, Rajadurai N, Muda A S. Neuroimaging in dengue: CT and MRI features. Neurol Clin Neurosci. 2018 doi: 10.1111/ncn3.12231. [DOI] [Google Scholar]
  • 36.Jia M, Xiong N, Huang J et al. Japanese encephalitis accompanied by cerebral venous sinus thrombosis: a case report. BMC Neurol. 2012;12:43. doi: 10.1186/1471-2377-12-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Neo R J. Japanese Encephalitis presenting with cerebral venous sinus thrombosis: a case report. Med J Malaysia. 2019;74(06):537–539. [PubMed] [Google Scholar]
  • 38.Mokkappan S, Basheer A, Iqbal N, Chidambaram S. Bilateral thalamic bleed and cerebral venous sinus thrombosis in Japanese encephalitis. BMJ Case Rep. 2015;2015:bcr2014207957. doi: 10.1136/bcr-2014-207957. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Neurosciences in Rural Practice are provided here courtesy of Scientific Scholar

RESOURCES