FULL-LENGTH ORIGINAL RESEARCH
Early and chronic gray matter volume changes in limbic
encephalitis revealed by voxel-based morphometry
*†Jan Wagner, *†‡Bernd Weber, and *†‡Christian E. Elger
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
SUMMARY
Dr. Jan Wagner is
resident, with special
interest in imaging, at
the Department of
Epileptology at the
University of Bonn.
Objective: Antibody-associated limbic encephalitis (LE) is an increasingly recognized
cause of mostly adult-onset temporal lobe epilepsy. Magnetic resonance imaging
(MRI) typically shows volume and signal changes of the mesiotemporal structures.
However, recent studies indicate that imaging characteristics depend on the type of
the associated antibody. The aim of the present study was to investigate early and
chronic gray matter (GM) volume changes in LE by means of voxel-based morphometry (VBM).
Methods: Optimized VBM analysis was applied to altogether 73 MRI volumes of 55
patients with antibody-associated LE. Based on the time point of MRI acquisition,
patients were split into two separate groups to enable the evaluation of early (≤2 years
after LE onset) and chronic (>2 years after LE onset) GM volume changes. In addition,
separate analyses for the two most common LE subtypes in our study cohort, that is,
glutamic acid decarboxylase (GAD)–associated LE and voltage-gated potassium channel (VGKC)-complex–associated LE were performed. Age- and gender-matched
healthy subjects served as controls.
Results: Referring to the entire LE group, VBM revealed bi-amygdalar GM volume
increase in the early disease stage. In the chronic disease stage, amygdala enlargement
had resolved and we found GM volume reduction in the right cerebellar hemisphere.
In the subgroup analysis, VBM showed corresponding bi-amygdalar GM volume
increase in VGKC-complex–associated LE on early MRI, whereas no changes were
found in GAD-associated LE. In the chronic disease stage, VBM revealed left frontal
GM volume increase in VGKC-complex–associated LE and right frontoparietal GM
volume reduction in GAD-associated LE.
Significance: The present study provides further evidence of a predominant affection
of the amygdala in the early disease stage of LE, which resolves during the later course
of the disease. Furthermore, our results show that LE features distinct imaging characteristics depending on the associated antibody and thus may contribute to a better
pathophysiologic understanding of this disease.
KEY WORDS: Epilepsy, Magnetic resonance imaging, Voxel-based morphometry,
Glutamic acid decarboxylase, Voltage-gated potassium channel-complex, Onconeural.
Antibody-associated limbic encephalitis (LE) has come
up over the past years as an underlying cause of formerly
mostly cryptogenic temporal lobe epilepsy.1 Increasingly
more autoantibodies are found to be associated with this
disorder,2,3 which was described initially as a paraneoplastic syndrome caused by inflammation in limbic structures
in adults.4,5 While prognosis in paraneoplastic LE depends
mainly on the underlying tumor, clinical outcome in
nonparaneoplastic LE seems to be crucially influenced by
Accepted February 11, 2015.
*Department of Epileptology, University of Bonn, Bonn,
Germany; †Department of NeuroCognition/Imaging, Life & Brain Center,
Bonn, Germany;
and ‡Center for Economics and Neuroscience,
University of Bonn, Bonn, Germany
Address correspondence to Jan Wagner, Department of Epileptology,
University of Bonn, Sigmund-Freud-Str. 25, D-53127 Bonn, Germany.
E-mail: jan.wagner@ukb.uni-bonn.de
Wiley Periodicals, Inc.
© 2015 International League Against Epilepsy
1
2
J. Wagner et al.
the associated antibody. Here, LE associated with antibodies against glutamic acid decarboxylase (GAD) usually
shows a nonremitting chronic disease course with seizure
and antibody persistence and poor responses to immunotherapy, whereas patients who have LE associated with
voltage-gated potassium channel (VGKC)-complex antibodies mostly become seizure-free and antibody-negative
during follow-up.3,6–8
Typical features of LE on magnetic resonance imaging
(MRI) comprise volume and signal changes of the mesiotemporal structures, which have been demonstrated by both
conventional9,10 and postprocessing imaging studies.11 In
two recently published studies, we could show that the
amygdala seems to be primarily affected by the inflammatory process based on automated MRI signal12 and volumetric analyses.6 Furthermore, in the latter study, we could
show that distinct volumetric courses of amygdala and hippocampus in the acute disease stage of GAD-associated LE
(GAD-LE) and VGKC-complex–associated LE (VGKCLE) corresponded to distinct clinical and paraclinical features in these two LE subforms. Based on the results of these
two studies, the aim of the present study was to evaluate
gray matter (GM) volume changes in antibody-associated
LE by means of voxel-based morphometry (VBM). We
chose VBM, as this is a well-established fully automated
processing technique facilitating the detection of GM volume changes in the entire brain, whereas our previous studies were focused mainly on abnormalities of the
mesiotemporal structures. The feasibility of VBM in temporal lobe epilepsy has been proven in various studies on hippocampal sclerosis by showing widespread volume
reductions even remote from the seizure focus.13 To the best
of our knowledge, no studies have applied this technique to
LE until now. Because we were particularly interested in
early and chronic GM volume changes, two separate study
groups were established, depending on the time point of
their MRI acquisition. In addition, we performed separate
analyses for the two most common LE subtypes in our study
cohort, that is, GAD-LE and VGKC-LE.
Methods
Study groups
We retrospectively evaluated all patients diagnosed with
antibody-associated LE presenting at the University of
Bonn Department of Epileptology, from April 2006 to
August 2013. Patients were diagnosed with LE based on the
features of a subacute “limbic” syndrome manifesting in
adolescence or adulthood (at least one of the following
symptoms: seizures of temporal semiology, disturbance of
episodic memory, psychiatric symptoms with affective and/
or anxiety disturbances), and positive serologic antibody
results (i.e., onconeural, VGKC-complex, GAD).
The patient groups in this study were based on the study
cohort from our previous report.6 However, as our previous
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
work focused mainly on the early disease stage, we additionally aimed at investigating chronic changes in GM volume in the present study. Therefore, the following two
separate patient groups were established, depending on the
time point of their MRI acquisition: (1) the “early” group,
consisting of the earliest available MRI of each included
patient acquired not later than 2 years after disease onset (in
the following referred to as MRI 1); and (2) the “late” group,
consisting of the most recent available MRI performed at
least 2 years after disease onset (in the following referred to
as MRI 2). Hence, patients who were scanned repeatedly
could be included in both MRI 1 and MRI 2 groups if their
earliest MRI was performed within the first 2 years after
onset and if their most recent MRI was acquired at least
2 years after onset. LE onset was defined as the time point
of the first symptoms suggestive of LE (seizures and/or psychiatric and/or mnestic disturbances). As mentioned earlier,
these selection criteria were chosen to evaluate early and
chronic changes in GM volume and were based on experiences from our previous study,6 which focused mainly on
the first 2 years after LE onset. Furthermore, the cutoff
value of 2 years enabled similar MRI 1 and MRI 2 group
sizes.
To achieve the best possible age-matching and gendermatching with the patient groups, two separate control
groups consisting of healthy subjects with no neurologic or
psychiatric disorder were assembled. These controls were
recruited from a preexisting in-house database consisting of
1,342 healthy subjects. Age-matching and gender-matching
was achieved by building matched pairs for each individual
patient. Informed consent was obtained from all study participants and the study was approved by the ethics committee of the University of Bonn.
Antibody tests
All patients underwent extensive serum antibody testing. Identification of GAD antibodies in serum was
performed by radioimmunoprecipitation assay using 125IGAD (normal values ≤1 U/ml; Weatherall Institute,
Oxford, United Kingdom, or EUROIMMUN, L€
ubeck,
Germany).8 Serum antibodies against the VGKC-complex
were assessed by radioimmunoprecipitation assay (normal
values <100 pM; Weatherall Institute or EUROIMMUN).14 Antibodies against leucine-rich, glioma inactivated 1 protein (LGI1) and contactin-associated protein 2
(CASPR2) were detected by indirect immunofluorescence
using formalin-fixed human embryonic kidney (HEK293)
cells containing membrane bound LGI1 (normal values
<1:10; EUROIMMUN) or CASPR2 (normal values <1:10;
EUROIMMUN).15 The latter two tests were performed
from 2010. “Well characterized” onconeural antibodies
were tested with use of a commercially available routine
test using an immune-dot-blot for Hu, Ma, amphiphysin,
and CV2/CRMP5 antibodies (Ravo Diagnostika, Freiburg,
Germany).
3
VBM in Limbic Encephalitis
MRI examinations
All included patients underwent routine clinical MRI
examinations for the neuroradiologic assessment using a
Philips 3 Tesla MRI scanner (Intera; Philips Medical Systems, Amsterdam, The Netherlands) according to a standard
protocol.16
The T1-weighted volume datasets of patients and healthy
controls that were used for the VBM analysis were acquired
independently from the clinical scans at the Life & Brain
Center in Bonn using a 3 Tesla scanner (Magnetom Trio;
Siemens, Erlangen, Germany). Sequence parameters were
as follows: magnetization-prepared rapid acquisition gradient echo (MPRAGE), voxel size 1 9 1 9 1 mm3, repetition time 1,570 msec, echo time 3.42 msec, flip angle 15
degrees, field of view 256 9 256 mm2. All patients and
healthy controls were scanned using the same MRI scanner
with the same sequence parameters.
VBM analysis
VBM analysis was performed using Functional MRI of
the Brain Software Library (FSL)-VBM, an optimized VBM
protocol carried out with FSL tools (Version 5.0; Department
of Clinical Neurology, University of Oxford, Oxford, United
Kingdom; http://www.fmrib.ox.ac.uk/fsl).17 First, structural
images were brain-extracted and GM-segmented before
being registered to the Montreal Neurological Institute
(MNI) 152 standard space using nonlinear registration. The
resulting images were averaged and flipped along the x-axis
to create a left-right symmetric, study-specific GM template.
Second, all native GM images were nonlinearly registered to
this study-specific template and “modulated” to correct for
local expansion (or contraction) due to the nonlinear component of the spatial transformation. The modulated GM
images were then smoothed with an isotropic Gaussian
kernel with a sigma of 2 mm (full width at half maximum
~4.6 mm). Finally, voxelwise statistical analysis was applied
using permutation-based nonparametric testing (5,000 permutations) with threshold-free cluster enhancement (TFCE)
correcting for multiple comparisons (p < 0.05, family-wise
error [FWE] correction). Because this is a rather conservative
approach, we also report results using a less stringent, uncorrected threshold with p < 0.001 for the antibody subgroup
analyses due to the smaller group sizes.
Cross-sectional analyses were performed by comparing
patient groups with the corresponding controls. Because
these groups were age-matched and gender-matched, we
did not include additional covariates of no interest in the
general linear model (GLM).
Eighteen patients were scanned repeatedly with the
appropriate intervals between MRI 1 and MRI 2 (see
Results section); therefore, we additionally performed longitudinal VBM analyses in these 18 cases using a singlegroup paired-difference t-test. For details on GLM setup for
this analysis see http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#
Single-Group_Paired_Difference_.28Paired_T-Test.29.
The time interval between MRI 1 and MRI 2 was added as a
covariate of no interest in the GLM to correct for this factor
because time intervals differed considerably between these
18 patients (median 2.7 years, min 1.0 years, max
4.8 years, interquartile range [IQR] 1.6 years).
Furthermore, VBM correlation analyses between GM
volume and disease duration at MRI were performed using
the MRI scans of all included patients (irrespective of
whether they belonged to MRI 1 or MRI 2 group). Age at
MRI was added as covariate of no interest in the GLM to
account for age-related GM volume changes.
Statistical analysis
Statistical analyses of clinical data were performed using
SPSS Statistics 21.0 for Mac OS X (IBM, Armonk, NY,
U.S.A.). All values throughout this report are given as median unless otherwise stated. For statistical comparisons of
independent categorical data, a Fisher’s exact test was performed and for comparisons of independent metrical data, a
Mann-Whitney U test was performed. A p-value < 0.05
was regarded as statistically significant using two-tailed
tests.
Results
Entire LE group
Clinical data of the patient groups and the corresponding
control groups are summarized in Table 1. Eighteen
patients were scanned repeatedly with the appropriate intervals between LE onset and MRI, and thus were included in
both MRI 1 and MRI 2 group, amounting to altogether 73
MRI studies from 55 patients that were available for further
VBM processing. The proportion of patients receiving
immunotherapy at the time point of MRI acquisition was
significantly higher at MRI 1 compared to MRI 2
(p = 0.001). Tumor searches were performed in all included
patients and were positive in one patient of the MRI 1 group
(lung adenocarcinoma associated with Hu antibodies) and
two patients of the MRI 2 group (small cell lung carcinoma
associated with Hu antibodies and acinic cell carcinoma of
the cervical lymph nodes associated with Ma antibodies).
Cross-sectional VBM analysis of MRI 1 revealed a significant GM volume enlargement in LE relative to the corresponding controls localized in both amygdalae (p < 0.05,
FWE-corrected; Fig. 1A). No areas with significant GM
volume reduction were found at MRI 1. At MRI 2, GM volume enlargement was no longer present in the amygdala
and we found GM volume loss in the right cerebellar hemisphere (Fig. 1B).
Longitudinal VBM analysis of repeatedly scanned
patients (N = 18) revealed regions with a significant GM
volume loss between MRI 1 and MRI 2 including the mesiotemporal region (especially in both amygdalae), the basal
ganglia (especially caudate nucleus), the thalamus, the
parietooccipital cortex, and the cerebellum (p < 0.05,
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
4
J. Wagner et al.
Table 1. Clinical and serologic data of the two LE groups and the corresponding control groups
Demographical data
N (male)
Age at MRI, years, median, IQR (range)
Age at LE onset, years, median, IQR (range)
Disease duration at MRI, years, median, IQR (range)
Antibody
GAD, N (%)
VGKC-complex, N (%)
LGI1, N (%)
CASPR2, N (%)
Onconeural, N (%)
Seizures
Per month, median, IQR (range)
Seizure-free, N (%)
Immunotherapy, N (%)
LE MRI 1
CON MRI 1
LE MRI 2
CON MRI 2
36 (14)
48.5, 32.8 (17–73)
46.7, 33.0 (16–72)
0.5, 0.7 (0.0–2.0)a
36 (14)
48.0, 32.6 (16–74)
NA
NA
37 (17)
44.8, 27.0 (17–76)
43.0, 26.7 (12–72)
3.9, 2.2 (2.3–6.1)
37 (17)
43.0, 28.2 (17–72)
NA
NA
16/36 (44)
18 (50)
4 (11)
1 (3)
2 (6)
NA
NA
NA
NA
NA
18/37 (49)
16 (43)
1 (3)
4 (11)
3 (8)
NA
NA
NA
NA
NA
12.5, 31.7 (0–900)
8/36 (22)
31/36 (86)b
NA
NA
NA
5.5, 10.0 (0–180)
11/37 (30)
18/37 (49)
NA
NA
NA
CON, control group; IQR, interquartile range; NA, not available.
a
p < 0.001 comparing LE MRI 1 with LE MRI 2.
b
p < 0.01 comparing LE MRI 1 with LE MRI 2.
FWE-corrected; Fig. 1C). We did not find any regions with
a significant GM volume increase between MRI 1 and MRI
2.
VBM correlation analysis of GM volume with disease
duration at MRI in all included patients (N = 73) did not
reveal any regions with a significant positive or negative
correlation when using an FWE-corrected threshold of
p < 0.05.
LE subgroup analysis
Clinical data of the LE subgroups and the corresponding
control groups are summarized in Table 2. The overlap of
patients who were included in both the MRI 1 and MRI 2
groups amounted to eight GAD-LE cases and nine VGKCLE cases. We found highly significant differences concerning age at LE onset and age at MRI at both MRI 1 and MRI
2 between GAD-LE and VGKC-LE (all p < 0.001). Furthermore, significant differences between the two LE subgroups were found in seizure frequency (p < 0.001), the
proportion of seizure-free patients (p < 0.001), and the proportion of antibody-negative patients at MRI 2 (p = 0.001).
Based on a conservative approach using an FWE-corrected threshold of p < 0.05, no significant differences in
the cross-sectional analyses between GAD-LE and VGKCLE and controls were found at MRI 1 and MRI 2. However,
by using a less stringent uncorrected threshold with
p < 0.001, we found a significant bi-amygdalar GM volume
enlargement in VGKC-LE relative to the corresponding
controls at MRI 1. No differences between GAD-LE and
controls were found at this time point. At MRI 2, we found a
circumscribed GM volume reduction in the right frontoparietal operculum in GAD-LE, whereas a small area of GM
volume increase located in the left frontal operculum was
present in VGKC-LE. Results of the cross-sectional analyses are illustrated in Figure 2A–C.
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
In the longitudinal analyses, no significant changes were
detected in either GAD-LE (N = 8) or VGKC-LE (N = 9),
even when using an uncorrected threshold of p < 0.001,
which is most probably caused by the relatively small
patient groups.
VBM correlation analysis revealed a bilateral cluster
located in the amygdala with a negative correlation between
GM volume and disease duration in the VGKC-LE subgroup (N = 34; p < 0.001 uncorrected; Fig. 2D), which is
in line with the findings of the cross-sectional analyses. No
significant correlations were found in the GAD-LE subgroup.
Discussion
To the best of our knowledge, this study represents the
first application of VBM in antibody-associated LE. To
assess early and chronic changes in GM volume, two separate study groups were established based on the time point
of the MRI acquisition. In addition to cross-sectional analyses in which patient groups were compared with matched
controls, we performed longitudinal VBM analyses in
repeatedly scanned patients and VBM correlation analyses
between GM volume and disease duration. Our cross-sectional results demonstrate bilateral GM volume increase in
the amygdala in the early disease stage, whereas no regions
with significant GM volume reduction were found at this
time point. This volume increase was no longer detectable
during the later course of the disease, and we found right
cerebellar GM volume loss at MRI 2. In line with these
cross-sectional results, a bilateral mesiotemporal GM volume loss located mainly in the amygdalae and a bilateral
cerebellar GM volume loss could be detected in the longitudinal VBM analysis. However, we found additional regions
with a longitudinal GM volume loss including the basal gan-
5
VBM in Limbic Encephalitis
A
B
C
Figure 1.
(A) Cross-sectional VBM results of the entire LE group at MRI 1
using an FWE-corrected threshold of p < 0.05 demonstrating
bi-amygdalar GM volume increase in the early disease stage. (B) At
MRI 2, amygdala volume increase was no longer detectable and we
found GM volume reduction in the right cerebellar hemisphere.
(C) Longitudinal VBM results showing relatively widespread GM
volume loss between MRI 1 and MRI 2 including the mesiotemporal
region (especially in both amygdalae), basal ganglia (especially caudate nucleus), thalamus, parietooccipital cortex, and cerebellum.
No regions with a GM volume increase between MRI 1 and MRI 2
were found. Red/orange, regions with significant volume increase;
blue, regions with significant volume reduction.
Epilepsia ILAE
glia (especially caudate nucleus), the thalamus, and the
parietooccipital cortex. Although a correction for the different time intervals between MRI 1 and MRI 2 was performed
in this analysis, we suppose that this discrepancy to the
cross-sectional results is at least partially caused by agerelated effects that may have interfered with disease-related
changes. Supporting this hypothesis, significant physiologic
age-related atrophy of the above-mentioned regions has
been reported in previous volumetric and VBM studies.18,19
Taking both cross-sectional and longitudinal results into
account, we could largely reproduce the results of our previous study6 using a different approach applied to a larger
patient group. In particular, in our previous study, we found
a bilateral amygdala enlargement in the initial disease stage
of antibody-associated LE by means of automated mesiotemporal volumetry. Corresponding to our current results,
amygdala volume also decreased during follow-up and did
not differ from controls during the further course of the
disease in our previous study. However, in contrast to our
previous results, we did not find hippocampal volume
reduction at MRI 2 using cross-sectional VBM despite a larger patient group in the current study. Hippocampal atrophy
in the convalescent phase of LE has also been reported in a
study comprising eight patients with LGI1 and VGKC-complex antibodies in comparison to healthy controls.11 That
we did not find hippocampal atrophy at MRI 2 in the crosssectional analysis of the present study, could be a result of
methodologic factors, as it is known that VBM features only
a limited sensitivity in detecting subtle hippocampal atrophy.13,20
Cerebellar GM volume reduction at MRI 2 may reflect
postinflammatory changes because cerebellar involvement
has been described especially in GAD-associated3,21 and
paraneoplastic neurologic disorders.3,22 Analog to our
results, cerebellar GM volume reduction has also been
described in various VBM studies on hippocampal sclerosis.13,23–30 Most commonly, this finding has been attributed
to either chronic medication effects25 or excitotoxic damage30 due to neural pathways between the hippocampus and
the cerebellum,31,32 both of which may be also attributable
to our findings in LE.
Apart from studies on LE, amygdala enlargement is
increasingly recognized as a morphologic correlate of
mesial temporal lobe epilepsy on MRI.33–40 In summary, all
patients in these studies showed isolated and unilateral
enlargement of the amygdala with or without accompanying
signal hyperintensity. Of interest, in most cases, seizure
onset was relatively late and seizure focus was usually ipsilateral to the enlarged amygdala. However, the etiology of
amygdala enlargement remains unclear in most of these
studies. Antibody testing, cerebrospinal fluid (CSF) investigations, and follow-up MRIs were not performed in most
cases. Furthermore, histologic investigations in operated
patients report inconsistent or unspecific results. Given the
late seizure onset in most of these patients, an inflammatory
etiology of the epilepsy may at least be possible in some of
the reported cases. Amygdala enlargement seems to be a
sensitive marker for LE but above-cited studies raise the
question regarding the specificity of this finding on MRI.
From the current point of view, the underlying cause of
amygdala enlargement on MRI seems to comprise several
etiologies including inflammation, tumor,38 dysplasia,38,39
and hypertrophic neurons.39,40 Bilateral pathology, additional hippocampal affection, and dynamic clinical and
imaging course during follow-up (especially volume
decrease) may be indicators for an inflammatory etiology,
as dysplastic lesions or tumors are usually unilateral and do
not shrink over time. Amygdala enlargement on MRI should
prompt antibody testing in serum (and ideally also in CSF)
to identify an inflammatory etiology as early as possible.
Early initiation of immunosuppressive therapy may prevent
irreversible damage to the mesiotemporal structures.11 In
addition, antibody testing is of particular importance if
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
6
J. Wagner et al.
Table 2. Clinical and serologic data of the LE subgroups and the corresponding control groups
GAD-LE
MRI 1
Demographical data
N (male)
Age at MRI, years, median, IQR (range)
Age at LE onset, years, median, IQR (range)
Disease duration at MRI, years, median, IQR (range)
Antibody
Concentration, median, IQR (range)
Antibody negative, N (%)
Seizures
Per month, median, IQR (range)
Seizure-free, N (%)
Immunotherapy, N (%)
MRI 2
Demographical data
N (male)
Age at MRI, years, median, IQR (range)
Age at LE onset, years, median, IQR (range)
Disease duration at MRI, years, median, IQR (range)
Antibody
Concentration, median, IQR (range)b
Antibody negative, N (%)c
Seizures
Per month, median, IQR (range)
Seizure-free, N (%)
Immunotherapy, N (%)
VGKC-LE
16 (5)
32.5, 17.1 (17–58)a
31.4, 17.8 (16–58)a
0.4, 0.7 (0.1–2.0)
All >1,000 U/ml
0/16 (0)
18 (9)
60.6, 18.9 (20–73)
60.4, 18.8 (19–72)
0.6, 0.7 (0.0–1.9)
621 pM, 536 (127–7,655)
0/18 (0)
GAD-CON
VGKC-CON
16 (5)
32.8, 16.2 (16–58)
NA
NA
18 (9)
60.7, 17.2 (20–74)
NA
NA
NA
NA
NA
NA
9.5, 40.0 (0–150)
5/16 (31)
12/16 (75)
23.0, 10.5 (0–900)
3/18 (17)
17/18 (94)
NA
NA
NA
NA
NA
NA
18 (7)
26.6, 19.8 (17–61)a
23.2, 20.8 (12–55)a
4.3, 2.4 (2.3–6.1)
16 (10)
52.9, 10.3 (22–76)
48.3, 11.1 (19–72)
3.9, 2.0 (2.5–6.1)
18 (7)
26.8, 16.8 (17–61)
NA
NA
16 (10)
53.5, 11.9 (21–72)
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
All >1,000 U/ml
0/16 (0)d
451 pM, 312 (119–1,929)
8/14 (63)
7.5, 25.3 (0.5–150)a
0/18 (0)a
7/18 (39)
0.0, 1.3 (0–4)
10/16 (63)
8/16 (50)
a
p < 0.001 comparing GAD-LE with VGKC-LE.
Antibody-negative patients excluded from this analysis.
No antibody tests performed in two patients in each LE subgroup at MRI 2.
d
p < 0.01 comparing GAD-LE with VGKC-LE.
b
c
epilepsy surgery is considered. A subsidiary affection of the
contralateral mesiotemporal structures after surgery bears
the risk of severe mnestic deficits and may furthermore lead
to seizure recurrence.
In the subgroup analyses, cross-sectional VBM revealed
bi-amygdalar GM volume enlargement in VGKC-LE at
MRI 1, but no significant changes in GAD-LE at this disease stage. Hence, VGKC-LE seems to show more prominent volume abnormalities in the acute disease stage, which
additionally confirms the results of our previous study6 and
has been found to mirror distinct clinical courses with a
more severe initial clinical symptomatology regarding seizure, mnestic, and psychiatric disturbances in VGKC-LE
compared to GAD-LE. At MRI 2, amygdala enlargement in
VGKC-LE could no longer be detected and we found GM
volume increase located in the left frontal opercular region,
while no regions with GM volume reduction were present at
this time point. Although frontal GM increase has also been
reported in several VBM studies on temporal lobe epilepsy
with and without hippocampal sclerosis,25,27,30 this finding
is nevertheless slightly surprising given that Irani et al.11
found reduced global brain volumes in eight patients with
LGI1 and VGKC-complex antibodies in the convalescent
stage of the disease. Frontal GM increase in temporal lobe
epilepsy has been attributed to diminished gray–white
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
matter demarcation in previous studies25,30 and may also be
the causative factor in VGKC-LE, although this remains
speculative. In agreement with the cross-sectional results,
bilateral clusters located in the amygdala with a negative
correlation between GM volume and disease duration were
detected in the VGKC-LE subgroup using VBM correlation
analysis. These findings additionally confirm that the amygdala seems to be predominantly affected in LE, and volume
changes are particularly pronounced in the VGKC-complexassociated subgroup. In GAD-LE, GM volume reduction
located in the right frontoparietal operculum was found in the
cross-sectional analysis at MRI 2, which is also a common
finding in hippocampal sclerosis13,23,41,42 and has been
attributed mostly to network damage. Furthermore, this finding may also result from ongoing seizure activity in GADLE. This would also explain the fact that no volume loss was
present in VGKC-LE, as seizure burden differed significantly between these two groups at MRI 2. Supporting this
hypothesis, a study on drug-resistant and drug-responsive
temporal lobe epilepsy found more extensive GM atrophy in
the group with ongoing seizures.42 Finally, antibody persistence in GAD-LE may represent another potential causative
factor leading to chronic inflammation and consecutive GM
atrophy in this group. In contrast to this, the majority of
VGKC-LE patients became antibody negative at MRI 2.
7
VBM in Limbic Encephalitis
specific subset of antibody-associated LE, as no
patients with antibodies to the alpha-amino-3-hydroxy5-methyl-4-isoxazolepropionic acid (AMPA) receptor,
c-aminobutyric acid receptor B (GABAB) and metabotropic
glutamate receptor 5 were identified in our institution
during the time of this study.
A
Conclusion
B
By means of VBM, our study provides further evidence
of a predominant pathology of the amygdala in the early disease stage of antibody-associated LE and supports the
results of our previous studies on LE. This bi-amygdalar
volume enlargement seems to be caused primarily by
VGKC-LE and resolves during the later course of the disease. In the chronic stage of LE, small areas of GM volume
reduction were found when referring to the entire LE group
and the GAD-LE subgroup, whereas a small area of GM
volume increase located in the left frontal opercular region
was found in VGKC-LE.
C
Acknowledgments
D
JW was supported by the Gerok Program of the BONFOR Commission,
University of Bonn. BW was supported by the Deutsche Forschungsgemeinschaft (DFG) with a Heisenberg grant (BW: WE 4427/3-2).
Disclosure
Figure 2.
VBM results of the LE subgroups using an uncorrected threshold of
p < 0.001. (A) Cross-sectional analysis in GAD-LE revealed a small
area of GM volume reduction located in the right frontoparietal
operculum at MRI 2 (cluster size 42 continuous voxels = 336 mm3),
whereas no changes were present at MRI 1. (B) Cross-sectional
results in VGKC-LE showing GM volume increase in both amygdalae
at MRI 1. (C) At MRI 2, amygdala enlargement was no longer detectable and we found GM volume increase located in the left frontal
operculum. (D) VBM correlation analysis between GM volume and
disease duration revealed two negatively correlated clusters located
in both amygdalae, supporting the findings of the cross-sectional
analyses. Red/orange, regions with significant volume increase; blue,
regions with significant volume reduction.
Epilepsia ILAE
Limitations
It should be noted that the results of the subgroup analyses are based on a p-value < 0.001 not corrected for multiple comparisons. Although this is a commonly used
threshold in many VBM studies, the results should nevertheless be interpreted with relative caution in this regard.
Furthermore, only a few onconeural cases were included in
the study and longitudinal data were available in only 18
patients. This should also be taken into account when
interpreting our findings. Finally, our results are limited to a
None of the authors has any conflict of interest to disclose, which is relevant to this research activity. We confirm that we have read the Journal’s
position on issues involved in ethical publication and affirm that this report
is consistent with those guidelines.
References
1. Bien CG, Urbach H, Schramm J, et al. Limbic encephalitis as a
precipitating event in adult-onset temporal lobe epilepsy. Neurology
2007;69:1236–1244.
2. Lancaster E, Martinez-Hernandez E, Titulaer MJ, et al. Antibodies to
metabotropic glutamate receptor 5 in the Ophelia syndrome.
Neurology 2011;77:1698–1701.
3. Vincent A, Bien CG, Irani SR, et al. Autoantibodies associated with
diseases of the CNS: new developments and future challenges. Lancet
Neurol 2011;10:759–772.
4. Brierley JB, Corsellis JAN, Hierons R, et al. Subacute encephalitis of
later adult life mainly affecting the limbic areas. Brain 1960;83:357–
368.
5. Corsellis JA, Goldberg GJ, Norton AR. “Limbic encephalitis” and its
association with carcinoma. Brain 1968;91:481–496.
6. Wagner J, Witt JA, Helmstaedter C, et al. Automated volumetry of the
mesiotemporal structures in antibody-associated limbic encephalitis.
J Neurol Neurosurg Psychiatry 2014 Sep 2 [Epub ahead of print].
7. Frisch C, Malter MP, Elger CE, et al. Neuropsychological course of
voltage-gated potassium channel and glutamic acid decarboxylase
antibody related limbic encephalitis. Eur J Neurol 2013;20:1297–
1304.
8. Malter MP, Helmstaedter C, Urbach H, et al. Antibodies to glutamic
acid decarboxylase define a form of limbic encephalitis. Ann Neurol
2010;67:470–478.
9. Urbach H, Soeder BM, Jeub M, et al. Serial MRI of limbic
encephalitis. Neuroradiology 2006;48:380–386.
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
8
J. Wagner et al.
10. Baumgartner A, Rauer S, Mader I, et al. Cerebral FDG-PET and MRI
findings in autoimmune limbic encephalitis: correlation with
autoantibody types. J Neurol 2013;260:2744–2753.
11. Irani SR, Stagg CJ, Schott JM, et al. Faciobrachial dystonic seizures:
the influence of immunotherapy on seizure control and prevention of
cognitive impairment in a broadening phenotype. Brain
2013;136:3151–3162.
12. Wagner J, Schoene-Bake JC, Malter MP, et al. Quantitative FLAIR
analysis indicates predominant affection of the amygdala in antibodyassociated limbic encephalitis. Epilepsia 2013;54:1679–1687.
13. Keller SS, Roberts N. Voxel-based morphometry of temporal lobe
epilepsy: an introduction and review of the literature. Epilepsia
2008;49:741–757.
14. Vincent A, Buckley C, Schott JM, et al. Potassium channel antibodyassociated encephalopathy: a potentially immunotherapy-responsive
form of limbic encephalitis. Brain 2004;127:701–712.
15. Irani SR, Alexander S, Waters P, et al. Antibodies to Kv1
potassium
channel-complex
proteins
leucine-rich,
glioma
inactivated 1 protein and contactin-associated protein-2 in limbic
encephalitis, Morvan’s syndrome and acquired neuromyotonia.
Brain 2010;133:2734–2748.
16. Urbach H. High-field magnetic resonance imaging for epilepsy.
Neuroimaging Clin N Am 2012;22:173–189, ix–x.
17. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional
and structural MR image analysis and implementation as FSL.
NeuroImage 2004;23(Suppl. 1):S208–S219.
18. Sullivan EV, Rosenbloom M, Serventi KL, et al. Effects of age and sex
on volumes of the thalamus, pons, and cortex. Neurobiol Aging
2004;25:185–192.
19. Giorgio A, Santelli L, Tomassini V, et al. Age-related changes in grey
and white matter structure throughout adulthood. NeuroImage
2010;51:943–951.
20. Labate A, Cerasa A, Gambardella A, et al. Hippocampal and
thalamic atrophy in mild temporal lobe epilepsy: a VBM study.
Neurology 2008;71:1094–1101.
21. Saiz A, Blanco Y, Sabater L, et al. Spectrum of neurological
syndromes associated with glutamic acid decarboxylase antibodies:
diagnostic clues for this association. Brain 2008;131:2553–2563.
22. Gultekin SH, Rosenfeld MR, Voltz R, et al. Paraneoplastic limbic
encephalitis: neurological symptoms, immunological findings and
tumour association in 50 patients. Brain 2000;123(Pt 7):1481–1494.
23. Scanlon C, Mueller SG, Cheong I, et al. Grey and white matter
abnormalities in temporal lobe epilepsy with and without mesial
temporal sclerosis. J Neurol 2013;260:2320–2329.
24. Brazdil M, Marecek R, Fojtikova D, et al. Correlation study of
optimized voxel-based morphometry and (1)H MRS in patients with
mesial temporal lobe epilepsy and hippocampal sclerosis. Hum Brain
Mapp 2009;30:1226–1235.
25. Riederer F, Lanzenberger R, Kaya M, et al. Network atrophy in
temporal lobe epilepsy: a voxel-based morphometry study. Neurology
2008;71:419–425.
26. Mueller SG, Laxer KD, Cashdollar N, et al. Voxel-based optimized
morphometry (VBM) of gray and white matter in temporal lobe
epilepsy (TLE) with and without mesial temporal sclerosis. Epilepsia
2006;47:900–907.
Epilepsia, **(*):1–8, 2015
doi: 10.1111/epi.12968
27. Cormack F, Gadian DG, Vargha-Khadem F, et al. Extra-hippocampal
grey matter density abnormalities in paediatric mesial temporal
sclerosis. NeuroImage 2005;27:635–643.
28. Keller SS, Wilke M, Wieshmann UC, et al. Comparison of standard
and optimized voxel-based morphometry for analysis of brain changes
associated with temporal lobe epilepsy. NeuroImage 2004;23:860–
868.
29. Keller SS, Wieshmann UC, Mackay CE, et al. Voxel based
morphometry of grey matter abnormalities in patients with medically
intractable temporal lobe epilepsy: effects of side of seizure onset
and epilepsy duration. J Neurol Neurosurg Psychiatry 2002;73:648–
655.
30. Keller SS, Mackay CE, Barrick TR, et al. Voxel-based morphometric
comparison of hippocampal and extrahippocampal abnormalities in
patients with left and right hippocampal atrophy. NeuroImage
2002;16:23–31.
31. Oganesian EA, Melik-Musian AB, Fanardzhian VV, et al. Morphofunctional analysis of the nature of cerebello-hippocampal
connections. Fiziol Zh Im I M Sechenova 1980;66:1632–1639.
32. Bertashius KM. Propagation of human complex-partial seizures: a
correlation analysis. Electroencephalogr Clin Neurophysiol
1991;78:333–340.
33. Bower SP, Vogrin SJ, Morris K, et al. Amygdala volumetry in
“imaging-negative” temporal lobe epilepsy. J Neurol Neurosurg
Psychiatry 2003;74:1245–1249.
34. Mitsueda-Ono T, Ikeda A, Inouchi M, et al. Amygdalar enlargement in
patients with temporal lobe epilepsy. J Neurol Neurosurg Psychiatry
2011;82:652–657.
35. Coan AC, Morita ME, de Campos BM, et al. Amygdala enlargement
in patients with mesial temporal lobe epilepsy without hippocampal
sclerosis. Front Neurol 2013;4:166.
36. Coan AC, Morita ME, Campos BM, et al. Amygdala enlargement
occurs in patients with mesial temporal lobe epilepsy and hippocampal sclerosis with early epilepsy onset. Epilepsy Behav 2013;
29:390–394.
37. Takaya S, Ikeda A, Mitsueda-Ono T, et al. Temporal lobe epilepsy
with amygdala enlargement: a morphologic and functional study. J
Neuroimaging 2014;24:54–62.
38. Kim DW, Lee SK, Chung CK, et al. Clinical features and pathological
characteristics of amygdala enlargement in mesial temporal lobe
epilepsy. J Clin Neurosci 2012;19:509–512.
39. Kimura Y, Sato N, Saito Y, et al. Temporal lobe epilepsy with
unilateral amygdala enlargement: morphometric MR analysis with
clinical and pathological study. J Neuroimaging 2014 Mar 5 [Epub
ahead of print].
40. Minami N, Morino M, Uda T, et al. Surgery for amygdala enlargement
with mesial temporal lobe epilepsy: pathological findings and seizure
outcome. J Neurol Neurosurg Psychiatry 2014 Sep 15 [Epub ahead of
print].
41. Bernasconi N, Duchesne S, Janke A, et al. Whole-brain voxel-based
statistical analysis of gray matter and white matter in temporal lobe
epilepsy. NeuroImage 2004;23:717–723.
42. Bilevicius E, Yasuda CL, Silva MS, et al. Antiepileptic drug response
in temporal lobe epilepsy: a clinical and MRI morphometry study.
Neurology 2010;75:1695–1701.