ABSTRACT
Objective To determine hippocampal morphometric parameters, including granule cell dispersion and features of malrotation, as potential biomarkers for SUDEP from an archival post-mortem series.
Methods In a retrospective study of 187 archival post-mortems from three groups, SUDEP (68; 14 with hippocampal sclerosis (HS)), non-SUDEP epilepsy controls (EP-C =66; 25 with HS) and non-epilepsy controls (NEC= 53), Nissl/H&E stained sections from left and right hippocampus from five coronal levels were digitised. Image analysis was carried out for granule cell layer (GCL) thickness and measurements of hippocampal dimensions (HD) for shape [width (HD1), height (HD2)] and medial hippocampal positioning in relation to the parahippocampal gyrus (PHG) length (HD3). A qualitative evaluation of hippocampal malrotational (HMAL) features, dentate gyrus invaginations (DGI) and subicular/CA1 folds (SCF) was also made.
Results GCL thickness was increased in HS more than those without (p<0.001). In non-HS cases increased GCL thickness was noted in EP-C compared to NEC (p<0.05) but not between SUDEP and NEC. There was no significant difference in the frequency of DGI, SCF, measurements of hippocampal shape (HD1, HD2 or ratio) or medial positioning between SUDEP, EP-C and NEC groups, when factoring in HS, coronal level and age at death. Comparison between left and right sides within cases showed significantly greater PHG lengths (HD3) on the right side in the SUDEP group only (p=0.018)
Conclusions No hippocampal morphometric features were identified in support of either excessive granule cell dispersion or features of HMAL as biomarkers for SUDEP. Asymmetries in PHG measurements in SUDEP warrant further investigation as they may indicate abnormal central autonomic networks.
- List if Abbreviations
- GCL
- Granule cell layer
- HMAL
- Hippocampal malrotation
- HS
- Hippocampal sclerosis
- PHG
- parahippocampal gyrus
- PM
- post mortem
- SUDEP
- Sudden and unexpected death in epilepsy
- TLE
- temporal lobe epilepsy
INTRODUCTION
Sudden and Unexpected death in epilepsy (SUDEP) is the leading cause of premature death in this condition1. Peri-ictal central autonomic disturbance in cardio-respiratory regulation is one likely mechanism, possibly mediated through abnormal functional connections between cortical, limbic and brainstem centres2. The limbic system, including hippocampus and amygdala, have autonomic regulatory functions and connections with the brainstem3, 4; experimental stimulation studies confirm hippocampal modulation of respiratory and cardiovascular activity5 and electrode stimulation of the hippocampus induces apnoea in some people with epilepsy6. Neuropathological alteration of the hippocampus, including sclerosis and granule cell dispersion, is frequent in temporal lobe epilepsy (TLE)7. In sudden unexplained deaths in infancy and childhood, which share some circumstantial similarities with SUDEP, developmental anomalies of the hippocampus have been recently reported8–10. In MRI studies in SUDEP, increased grey matter volume in the right hippocampus and parahippocampal gyrus (PHG), compared to healthy controls, was observed11. A systematic neuropathology analysis of hippocampal morphology in SUDEP series has not been carried out12. Our objective, in a large series of post-mortem (PM) cases from SUDEP and control groups, was to seek to identify a morphometric signature for SUDEP as a potential biomarker.
METHODS
Cases
Slides were retrieved from the UCL Epilepsy Society Brain and Tissue Bank or obtained through Brain UK, Queen Square and MRC brain banks from 187 mainly adult PM cases from three groups: 68 SUDEP, 66 epilepsy non-SUDEP (Epilepsy disease controls, EP-C) and 53 non-epilepsy controls (NEC). The PM tissues were collected across four decades: 31% (2010-16), 45% (2000-09), 24% (1990-99) and 0.5% (1980-89). Following review of the records, the cause of death was also further stratified into six subgroups : SUDEP into definite-SUDEP or possible/probable-SUDEP according to published criteria13, EP-C into non-SUDEP epilepsy-related deaths (ERD) (for example status epilepticus) or non-seizure related causes of deaths and NEC into non-epilepsy sudden deaths (NESD, including sudden cardiac death) and other causes of death (Table 1). The presence, laterality and subtype of hippocampal sclerosis14 was reviewed and other neuropathology confirmed at PM, including traumatic brain injury (TBI), cerebrovascular disease (CVD) or malformation of cortical development (MCD). The clinical data extracted included the age of onset of epilepsy, seizure types and syndrome if known (Table 1) and the brain weight at PM was recorded. The cases were all consented for research and the project has ethics approval (under NRES17/SC/0573).
A total of 349 Cresyl Violet (CV) (or H&E if CV not available) hippocampal sections were retrieved from the archives (up to four sections per case). In 122 cases, paired left and right sides were included and in 52 cases more than one coronal level of hippocampus was studied. The coronal levels were grouped and recorded as : (i) anterior/pes, (ii) level of the red nucleus, (iii) hippocampal body, (iv) the level of the lateral geniculate nucleus (LGN) and (iii) posterior hippocampus. All sections were scanned on a SCN400F digital slide scanner (Leica Microsystems, Wetzlar, Germany) at 40x magnification. We excluded cases from the study with large slides (mainly prior to 2000), those with poor section quality that compromised morphometry or cases with incomplete regions of interest.
Hippocampus shape and position measurements
On digital images, measurements of the hippocampus and parahippocampal gyrus were made at x 0.58 magnification using Leica Slidepath software (Leica Microsystems (UK), Milton Keynes, UK) and guided by published MRI studies that have evaluated hippocampal malrotation (HMAL)15, 16. Compared to MRI, however, analysis of tissue blocks is compromised by the lack of a perpendicular/midline reference to evaluate hippocampal axis rotation and also the collateral sulcus is not always present in small blocks. Hippocampal size and shape (HD1 and HD2): Hippocampal Dimension (HD) 1 was the distance from the bottom edge of the ventricle to the subpial margin of the hippocampal sulcus (Figure 1a), both representing anatomically consistent structures between cases. HD2 was then drawn as perpendicular to HD1, spanning the maximal distance from the ventricular border adjacent to CA2 to the subiculum/white matter border (Figure 1b). The ratio of HD1 to HD2 was then calculated to give a measure of the hippocampal shape from oval (HD1/2 >1), round (HD1/2 =1) to upright (HD1/2<1), as in MRI studies of hippocampal morphology15. Hippocampal medial positioning (HD3 and HD4): These measurements were also based on MRI studies15, to estimate the amount of subiculum not covered by hippocampus as one criterion in the evaluation of HMAL (Figure 1a). These measurements were taken parallel to each other: HD3 was maximum distance measured along the main axis of the subiculum extending from the medial ventricular border of the hippocampus to the outer edge of the parahippocampal gyrus (PHG). HD4 was then measured parallel to HD3 from the ventricle to the opposite edge of the hippocampus body. The ratio of HD4/3 then gave an estimate of the relative medial position of the hippocampus. In anterior/pes hippocampus sections with double representation of the dentate gyrus, the measurement is taken from the medial hippocampus part only (Figure 1b). Repeated measurements for were carried out on 82 cases with good reliability (intraclass correlation coefficient = 0.9, p<0.0001).
Granule cell layer (GCL)
We carried out qualitative evaluation of the GCL based on the dominant pattern in both dentate blades: normal and compact GCL (Pattern 1), compact GCL but appears broader (Pattern 2), unequivocal GCL dispersion (Pattern 3), mild or focal GCL dispersion (Pattern 4) and granule cell depletion (Pattern 5) (Figure 2a-e). We then measured the GCL thickness on the external blade (adjacent to CA2, GCLE) and internal blade (adjacent to subiculum, GCLI) of the dentate gyrus in each section. For each blade, 4 to 5 images were grabbed at x 20 magnification. Using image pro plus, the ‘best-fit’ basal line was drawn using the 10 deepest granule cells at the hilar border. This basal line was used to measure the perpendicular distance of the 10 outermost granule cells in each image (Figure 2f). The average of these provided a mean GCLE and GCLI thickness as based on the extent of maximal cell dispersion; the mean of these two values (GCLM) was also calculated for each slide. GCL measurements were repeated in 10 randomly-selected slides with good intra-observer reproducibility (intraclass correlation coefficient = 0.9, p<0.0001; mean of differences 2.7microns, SD = 11.07 microns).
Qualitative hippocampal patterns
The presence of invaginations along the straight sections of the DG, on either the CA2 side or SC side, was recorded as present or not (Figure 1c-e). The presence of folds in the CA1/subiculum pyramidal cell layer was also recorded (Figure 1c-d).
Statistical methods
Measurements were compared between groups using non-parametric tests and corrected for multiple comparisons. The Wilcoxon test was used for comparison of paired hemispheric samples. Spearman’s correlation test was used for correlation of clinical factors, such as age, with hippocampal measurements. Multiple regression analysis was used to evaluate the influence of multiple factors (including the presence of sclerosis, anatomic level, age and cause of death) on hippocampal measurements. Values of p≤0.01 were taken as significant.
Data availability policy
Data will be made available at the request of other investigators for purposes of replicating procedures and results.
RESULTS
Cases
60% of the cases were male with a mean age at death of 50 years (2-96 years); there were some group differences, with more males in the epilepsy groups and a significantly younger age of death in the SUDEP group (Table 1). HS was confirmed on re-examination of the sections in 14 SUDEP and 25 EP-C; HS was bilateral in 18 cases, and showed type 1 HS pattern in 32 cases. HS involved the right side in 40% of SUDEP and 50% in EP-C groups (Table 1).
Hippocampal dimensions, shape and size
Hippocampal dimensions HD1, HD2 and were significantly lower in HS (all types) than No-HS cases (p<0.0005) (Figure 3a, Table 2). HD1/HD2 ratio was also lower in HS cases than No-HS (Figure e-1a) indicating a more rounded than elliptical shape. There were also significant differences in these measures (HD1, HD2 and its ratio) between HS subtypes (p<0.01 to <0.0001) (Figure 3c). HD1 and HD2 positively correlated with brain weight in all cases (p<0.01) except cases with HS. There was significant variation in HD1, HD2 and HD1/HD2 ratio with the coronal level of the hippocampus in both HS and non-HS cases (p<0.01 to 0.0001) (Figure 3b).
HD1/HD2 between case groups
There were no significant differences in HD1, HD2 measurements and HD1/HD2 ratio between SUDEP, EP-C and NEC groups when the presence of HS and the anatomical coronal level was accounted for with multivariate analysis (Figure 3a, Figure e-1a, Table 2). When the causes of death were further stratified into six groups, including Definite-SUDEP, there were also no significant differences in HD1, HD2 and HD1/HD2 between the groups. There were also no significant difference in measurements between HS subtypes in SUDEP and EP-C groups (Figure 3c).
Hippocampal medial positioning
Hippocampal dimension HD3 (PHG length), HD4 (hippocampal body) and its ratio HD4/HD3 (relative medial position of the hippocampus) were all significantly lower in HS (all types) than No-HS cases (p<0.0001) (Table 2). HD3 also significantly correlated with brain weight (p<0.0001) in No-HS but not HS cases. There was significant variation in HD3, HD4 and HD4/HD3 ratio relative to the coronal level of the hippocampus in all cases (p<0.01 to 0.005) as well as for no-HS cases for HD3 and HD4/HD3 (p<0.01 to 0.005) (Figure e-1b).
HD3/HD4 between case groups
There was significant variation noted in HD3 between SUDEP, EP-C and NEC groups (p<0.0005), including analysis of No-HS cases alone (p=0.01), with greater mean lengths for the parahippocampal gyrus (HD3) in the SUDEP group (Table 1). Significant variation in HD3 was also noted when causes of death were sub-classified into the six subgroups, for all cases and No-HS cases (p<0.0005) with highest values in the Definite-SUDEP group (Figure 4a). The significance of HD3 measurement differences between the cause of death groups diminished when factoring for different coronal levels (p<0.03). Also, the SUDEP group had significantly younger mean age at death than control groups; when this was factored using multivariate analysis, no significant differences were noted for HD3 between all the cause of death groups.
GCL measurements
Qualitative evaluation of GCL patterns was undertaken in 244 sections from the SUDEP and control groups (Table 3); significant differences in GCLM measurements between the GCL patterns were noted, as anticipated, with highest values in cases with dispersion, lowest values in cases with granule cell depletion and intermediate values with focal or mild dispersion (Kruskall Wallis p<0.0001) (Table 3, Figure e-1c). This supported the assertion that our quantitative measures reflect qualitative patterns reported in previous similar studies8. Greater values for GCLE, GCLI and GCLM were present in HS than No-HS cases (p < 0.005 to 0.0001) (Table 2). There was also a significant difference noted for GCLM between HS subtype (p≤0.005) (Figure e-1d) but not for the coronal level of the hippocampus.
GCL between case groups
Between groups in No-HS cases, GCL measurements were significantly increased in EP-C compared to NEC (GCLM, p<0.0001) but not between SUDEP and NEC (Figure 2g, Table 2). When cause of death was sub-classified into six subgroups, higher GCLI was still noted in the non-ERD EP-C than both non-epilepsy control groups (p<0.05) whereas neither SUDEP group was significantly different from controls.
SC folds and DG invaginations
There was a positive correlation between the presence of excessive folds in the subiculum and invaginations in the dentate gyrus across all cases (p = 0.004). There was no relationship between either of these features and the cause of death groups, the presence of HS, or the coronal level of the hippocampus or side (Table 3).
Laterality
From 122 cases with paired samples from left and right hippocampus, there was alignment for the same coronal level in 88 cases. Measurements of HD1, HD3 and HD4 were higher on the right side with significant differences noted for HD3 in all pairs (p=0.016), only coronal-aligned paired sections (p=0.012) and No-HS cases alone (p=0.007). Within groups, HD3 was noted to be greater on the right side in SUDEP (p=0.018) but not in EP-C or NEC control groups (Figure 4). There were no significant differences observed for GCL measures between any groups in relation to laterality.
Clinical-pathology correlations
Epilepsy syndromic diagnosis or seizure type was not available in a proportion of SUDEP and EP-C cases (Table 1). Where seizure type was recorded, the majority of cases in SUDEP and EP-C groups had either primary or secondary generalised and focal seizures (Table 1) but there was no significant difference in age of seizure onset between groups. There was a positive correlation between the age of onset of seizures and GCLM (p<0.05) in EP-C groups but not for HD measures in any group. There was no association between GCL or HD measurements and the presence of additional TBI, CVD or MCD pathology at PM. There was a significant negative correlation between age at death and HD1, HD2, HD3 and HD4 in all cases (P < 0.001) as well as the subset of HS cases (p<0.05 to 0.005). There was no correlation with GCL thickness and age of death in any group.
DISCUSSION
In a retrospective study of 68 SUDEP cases, we did not find evidence for differences in hippocampal position or shape or abnormalities of the granule cell layer compared to control groups after consideration of the presence of HS, the anatomical level of the hippocampus and the patient’s age, which all independently influence these features. We identified increased PHG gyrus asymmetry in SUDEP, in keeping with previous MRI studies showing increased right PHG volumes in SUDEP11, which may be of relevance to central autonomic pathway dysfunction.
This was a retrospective study and we aimed to maximise the number of cases to increase its power, using similar protocols to previous large published PM studies of hippocampal morphology8, but implementing additional morphometric quantitative analysis to reduce observer bias. The study included cases from different tissue banks acquired over different eras with inherent variations in tissue fixation and laboratory processing protocols, all of which could differentially influence tissue volume and effect measurements. It is less likely, however, that these factors affect the comparisons of measurements between hemispheres within cases or ratio of measurements used (HD1/HD2 and HD4/HD3). Further limitations were that we did not have sections from both hemispheres at multiple coronal levels in all cases or macroscopic or MRI images to enable comparison with histological measurements.
Diminished granule cell migration in SUDEP
Granule cell dispersion is commonly associated with HS in TLE, noted in 76% of surgical specimens in a recent series17. In the context of HS, seizure-induced loss of reelin-synthesising interneurons has been shown to initiate neo-migration of mature granule cells18. Granule cell abnormalities have also recently been recognised in the context of unexplained deaths in childhood and infancy without evidence of HS10. In sudden unexplained death in childhood (SUDC), dentate gyrus abnormalities and HMAL were associated with a history of febrile seizures9,19. In sudden infant death syndrome (SIDS), focal bilamination of the dentate gyrus was identified in 41% of 114 cases8. It was suggested these developmental anomalies represented disease biomarkers and could be mechanistically linked to cause of death through abnormal limbic-brainstem connections that regulate cardio-respiratory control. SUDEP has parallels with SUDC/SIDS, including circumstances surrounding death, with frequent prone body position and nocturnal occurrence, which may indicate pathophysiological similarities. Indeed, it has been proposed that some SIDS/SUDC represent seizure-related deaths20, 21.
Dentate granule cell dispersion has been anecdotally recorded in 4% of SUDEP PM reports12, 22, but not systematically evaluated through review of histology sections. In this current retrospective study, based on a similar archival review protocol to the published SIDS studies8, but incorporating quantitative rather than qualitative evaluation, GCL measurements did not reveal excessive dispersion or broadening in SUDEP. We noted anticipated differences in GCL thickness in relation to HS type and age of seizure onset, in keeping with observations in TLE23. In non-HS cases however, significant GCL broadening was only observed between the non-SUDEP epilepsy group and non-epilepsy controls. This may paradoxically implicate a deficit in seizure-mediated granule cellular migratory mechanisms operating in SUDEP.
Hippocampal malrotation is not over-represented in SUDEP
HMAL (or incomplete hippocampal inversion) has been implicated as an underlying pathological substrate for febrile seizures24 as well as some SUDC10, 19. We have previously noted severe HMAL in 9.7% of SUDEP cases, but a systematic series review is lacking25. Evaluation of HMAL is confounded by lack of universally applied diagnostic criteria, both for MRI and neuropathology, to enable reliable comparisons of its incidence across disease groups in published studies15, 26. Reported incidences of HMAL vary from 8%27 to 16%16 in non-HS TLE, 8.8% in febrile status28 to 88% in SUDC associated with FS9. Furthermore, quantitative MRI evaluations of healthy controls report an incidence of HMAL in 23-24%, more commonly involving the left side15, 16.
As HMAL represents a spectrum of severity, tissue pathology may be more sensitive in detecting subtle anomalies. MRI criteria include measures of hippocampal roundness and verticality, mesial positioning, subiculum thickness and depth or verticality of the collateral sulcus15, 16, 24. The main obstacle in the quantitative evaluation of HMAL in pathology sections is the lack of a vertical midline or adjacent sulcus as a reference15, 16, macroscopic images of the brain being not available in all cases, particularly for coroners’ sudden death investigations12. In PM cases, excessive folding of the CA1/subiculum is regarded as the most striking feature in HMAL29; similar ‘tectonic’ hippocampal abnormalities are described in surgical hippocampal resections, with ‘bulbous expansions’ or convolutions in the subiculum/CA1 region, typically associated with corresponding invaginations of the dentate gyrus27.
In this SUDEP series, our quantitative evaluation of hippocampal shape and position was based on consistently present anatomical landmarks in addition to qualitative assessment for HMAL. We noted a significant association between the presence of folds in subiculum/CA1 and dentate gyrus invaginations in keeping with previous studies27. Subicular/CA1 folds were present in 21% of SUDEP cases and more common on the left side but not significantly different to control groups. This, together with a lack of quantitative evidence of increased roundness or medial positioning of the hippocampus, supports the notion that, although even severe cases of HMAL may be seen in SUDEP, it is not over-represented.
Parahippocampal gyrus asymmetry in SUDEP
We noted asymmetries in the length of the PHG along the subiculum, which was significantly greater on the right than on the left side in the SUDEP group only. Although we did not measure the volume of the PHG, this finding is in keeping with MRI observations showing increased grey matter volume in the right PHG in individuals who went on to have SUDEP compared to healthy subjects11. Asymmetries in the mesial temporal structure are recognised; the right hippocampus develops earlier than the left side30 and in healthy adults the right hippocampal volume is greater31. Recent data from the ENIGMA study which analysed data from over 17,000 MRIs has shown asymmetry in the cortical thickness measures in the parahippocampal gyrus (leftward asymmetry) and entorhinal cortex (rightward asymmetry) with both regions showed significant variability between sexes32; of note in both our epilepsy groups there was an overrepresentation of males compared to controls. Cortical asymmetries likely reflect left/right functional differences and there is increasing evidence of the role of the limbic region in autonomic regulation. For example, functional imaging studies show connections of the right hippocampus to the dorsal vagal nuclei in the regulation of heart rate after exercise33. Quantitative MRI studies have shown negative correlation between the volume of right PHG and heart rate variability, supporting a regulatory role of this region in parasympathetic activity34. The observation of PHG asymmetry in SUDEP is therefore worthy of further investigation in view of the potential influence of this region on central autonomic networks and potential dysfunction.
Acknowledgments
We are very grateful for provision of additional SUDEP and control material for this study from the following resources: Tammaryn Lashley and the Queen Square Brain Bank at UCL London and the MRC Sudden Death Brain Bank in Edinburgh. Tissue samples were also obtained from David Hilton at Derriford Hospital as part of the UK Brain Archive Information Network (BRAIN UK) which is funded by the Medical Research Council and Brain Tumour Research.
Appendix 1
Footnotes
Disclosures: All authors report no disclosures.
Funding: UCL is part of the Center for SUDEP Research (CSR) and supported through the National Institute of Neurological Disorders And Stroke of the National Institutes of Health (Award Numbers neuropathology of SUDEP: 5U01NS090415 and SUDEP admin core grant: U01-NS090405). Epilepsy Society supports SMS, and through the Katy Baggott Foundation, supports the UCL Epilepsy Society Brain and Tissue Bank. This work was undertaken at UCLH/UCL who received a proportion of funding from the Department of Health’s NIHR Biomedical Research Centres funding scheme. ZM was funded by the European Union’s Seventh Framework Program (FP7/2007-2013) under grant agreement 602102 (EPITARGET).