Longitudinal volume changes of hippocampal subfields and cognitive decline in Parkinson’s disease

Introduction

Cognitive impairment is one of the most common non-motor symptoms in Parkinson’s disease (PD), even early in the disease course (1,2). Studies have described impairments in different cognitive subdomains in newly diagnosed PD patients (3,4). Furthermore, longitudinal assessments of cognition have revealed a faster rate of cognitive decline in these early PD patients than in healthy people (5,6).

Decreases in cognitive functioning have been found related to hippocampal atrophy in PD, but the findings are inconsistent (7-9). One pathological study showed that hippocampal changes were present in the relatively early stages of PD patients (10), and these changes were also found to occur in both demented and non-demented patients (11). However, the majority of previous studies compared total hippocampal volumes using a region-of-interest approach, without evaluating the various hippocampal subregions, such as cornus ammonis 1 (CA1), CA2-3, CA4, dentate gyrus (DG), along with the subiculum and presubiculum.

A pathological study has demonstrated Lewy neurites or α-synuclein stack in the hippocampus of PD patients, especially in the CA2/3 and CA4-DG subfields (10,12). Compared with non-demented patients, PD patients with dementia have higher densities of Lewy bodies and Lewy neuritis in the CA2/3 area. Moreover, there is a correlation between the density of Lewy neurites in hippocampal area CA2 and the severity of cognitive impairment (11). Considering the functional specialization of the histologically distinct subfields of the hippocampus and the results of the histopathological studies described above, further study of the hippocampal subfield changes in PD, especially longitudinal study, is necessary.

Our goal was to investigate the feature of hippocampal subfields volumetry change in PD, especially longitudinal subfield changes and their role in cognitive decline. Based on previous studies, we hypothesized that PD with cognitive decline would exhibit distinctive patterns of volumetry change. We also hypothesized that the CA2/3 and CA4-DG region would be the most vulnerable subfields and would be related to cognitive decline in PD patients.

Methods

Subjects

The present study was approved by the Ethics Committee of Southwest Hospital, and written informed consent to participate in the study was obtained from all subjects. Twenty-eight nondemented PD patients from the movement disorders outpatient clinic were included. In addition, 27 age- and gender-matched healthy controls were recruited. All of the subjects were right-handed, as measured by the Edinburgh Handedness Inventory (13). The inclusion criteria for patients included idiopathic PD as defined using the UK Brain Bank criteria (14). The exclusion criteria included the following: presence of other neurological disorders aside from PD; meeting the diagnostic criteria for PD dementia (15); parkinsonism due to antipsychotics or other drugs; pre-existing neurological or psychiatric disorders; use of alcoholism or drug abuse; and incidental problems (stroke, white matter disease) and brain lesion or injury on MRI.

The patients were assessed by a trained physician with the Unified Parkinson’s Disease Rating Scale (UPDRS)-III motor scale (16) and the Hoehn and Yahr scale (17). The assessments were conducted during an off state after the administration of anti-parkinsonian drugs was withheld for at least 12 h overnight. Only mild-to-moderate stage patients were enrolled in the study to ensure the long scan could be completed. The scales for global cognitive status included the Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Twenty-eight PD patients were rescanned after two years (mean 899 days, SD 36), and these patients were assessed with the UPDRS-III motor scale, Hoehn scale, Yahr scale, MMSE, and MoCA by the same physician. Studies have suggested that the MoCA may be more sensitive to cognitive impairment for detecting longitudinal changes and at baseline in PD (18,19). Thus, we defined the global cognitive decline subgroup based on the following criteria: (I) PD patients with decreased scores of only MoCA at least or both MoCA and MMSE; (II) emerging subjective cognitive problems reported by patients or family members. Fifteen patients were classified as having global cognitive decline, and 13 patients were classified as without global cognitive decline. All participants were right-handed, as assessed by the Edinburgh Handedness Inventory (13).

Data acquisition

The images were acquired with a 3.0-T Siemens Tim Trio whole-body magnetic resonance imaging (MRI) system (Siemens Medical Solutions, Erlangen, Germany). Three-dimensional (3D) T1-weighted anatomical images were acquired in a sagittal orientation using the following volumetric 3D magnetization-prepared rapid gradient-echo (MP-RAGE) sequence (TR =1,900 ms, TE =2.52 ms, flip angle =9°, slice thickness =1 mm, slices =176, field of view =256×256 mm², matrix size =256×256, voxel size =1×1×1 mm³) on each subject.

Image processing

Hippocampus segmentation was performed with the FreeSurfer software (version 6.0) (http://surfer.nmr.mgh.harvard.edu/). Information on the procedure details is freely available for download online (http://www.freesurfer.net/fswiki/LongitudinalHippocampalSubfields). Detailed steps of hippocampal subfield segmentation have been described in previous studies (20,21). The hippocampal subfields the FreeSurfer segmented included the parasubiculum, presubiculum, subiculum, CA1, CA2/3, CA4, the granule cell layer of the DG (GC-DG), the molecular layer (ML), fimbria, the hippocampal fissure, the hippo-campus-amygdala transition area (HATA), and the hippocampal tail (the posterior end of the hippocampus, which includes portions of the CA fields and DG undistinguishable with the MRI contrast). The intracranial volume (ICV) of each subject was also estimated.

To measure volume changes of the total hippocampus and hippocampal subfields over time, FreeSurfer’s longitudinal stream was used for longitudinal analyses, which creates an unbiased within-subject template space and image using robust inverse consistent registration (21). The procedure uses a computational atlas built from high-resolution ex vivo MRI data, acquired at an average of 0.13 mm isotropic resolution on a 7-T scanner, and an in vivo atlas that provides information about adjacent extrahippocampal structures (22). The unbiased longitudinal segmentation relies on subject-specific atlases, and the segmentation at the different time points are jointly computed using a Bayesian inference algorithm (21).

Where volume_(adjusted) is the normalized volume of a subject, volume_(observed) is the non-normalized volume, TIV_m is the mean TIV of all subjects, and TIV_i is individual TIV of the subject (23).

Statistical analyses

The distribution of continuous variables was tested using the Skewness-Kurtosis test. Demographic differences between the PD group and healthy control at baseline, and between the two PD groups (PD without cognitive decline group vs. PD with cognitive decline group) at baseline were assessed with t-tests or Mann-Whitney tests depending on the normality of distributions. The Chi-squared test was used to examine sex distributions between the groups. The paired Wilcoxon signed-rank test was used to compare differences in neuropsychological variables over time (baseline and follow-up surveys). Longitudinal changes on the MoCA and MMSE total scores were determined using repeated-measures analysis of variance (ANOVA) (time × group). [P<0.05, corrected with false discovery rate (FDR)].

Comparisons of hippocampal subfield volumes between the PD group and healthy control at baseline were examined with analysis of covariance (ANCOVA), controlling for age, sex, education, and ICV. Longitudinal changes in hippocampal subfield volume were also determined using repeated measures ANOVA (mixed-effects model) with group as a between-subjects factor (PD without cognitive decline group vs. PD with cognitive decline group), and time (baseline, follow-up) as a within-subjects repeated measure, with age as a covariate (23,24) (P<0.05, corrected with FDR).

Within each group, we further investigated the correlation analyses between the MMSE and MoCA scores and total hippocampal or subfield volumes, and the longitudinal change of the MMSE or MoCA scores and mean percent change rate of total hippocampal or subfield volumes between two scan and mean percent change rate, which was calculated by the following formula: (volume_baseline − volume_follow-up) ×100%/volume_baseline (24).

Results

Demographic data and hippocampal subfield volumes at baseline

There were no differences in age, gender, education, MMSE, and MoCA total scores between the PD and control groups (Table 1).

Table 1 Demographic information and clinical characteristics of baseline subjects
Full table

ANCOVA showed that total bilateral hippocampal volume was significantly decreased in the PD patients compared to the controls (Table 2, Figure 1) (left: P<0.001, right: P=0.012). The hippocampal subfields showed distinct patterns of between-group differences (Table 2, Figure 1). The bilateral CA2/3 (left: P=0.025, right: P=0.018), CA4 (left: P<0.001, right: P<0.001), ML (left: P<0.001, right: P=0.003), subiculum (left: P<0.001, right: P<0.001), and right GC-DG (P<0.001) regions were smaller in the PD patients than those in the controls. The correlation analyses showed that MoCA total score correlated with bilateral total hippocampal volume in the PD group (Figure 1).

Table 2 Hippocampal subfield volumes (mm3) of participants in baseline
Full table

Figure 1 Differences between baseline groups in hippocampal subfields volumes and correlations between total hippocampus volumes and MoCA score in PD patients. CA, cornus ammonis; GC-DG, granule cell layer of dentate gyrus; ML, molecular layer; HATA, hippo-campus-amygdala transition area; graphic presenting data distribution with average means and standard errors. * indicates significant results.

Changes in clinical data and hippocampal subfield volumes for the longitudinal PD cohort

There were no differences in age, gender, education, disease duration, UPDRS-III score, MMSE, and MoCA total scores between PD without cognitive decline group and PD with cognitive decline group in baseline (Table 3). However, paired Wilcoxon signed-rank test showed that there were significant differences in MMSE (P=0.003) and MoCA (P=0.014) scores between baseline and follow-up in the two groups, and repeated measures ANOVA showed that score of MMSE (P<0.001) and MoCA (P=0.001) was significantly decreased in the PD with cognitive decline group (Tables 4,5).

Table 3 Demographic information and clinical characteristics in PD patients at baseline
Full table

Table 4 Neuropsychological test scores at baseline and follow-up in PD patients
Full table

Table 5 Neuropsychological test scores at baseline and follow-up in PD patients
Full table

The differences in hippocampal subfields between groups had distinctive patterns. The volume of total bilateral hippocampal (left: P=0.016, right: P=0.004), bilateral CA4 (left: P=0.007, right: P=0.011), GC-DG (left: P=0.003, right: P=0.016), ML (left: P=0.011, right: P=0.014), and left CA2/3 (P=0.002) and right presubiculum (P=0.002) showed a statistically significant group-by-time interaction, and the atrophy rate of the total bilateral hippocampal and above subfield was faster in PD patients with cognitive decline (Table 6, Figure 2). Significant correlations were found between the longitudinal change of the MMSE and MoCA scores which had significant positive correlations with the mean percent change rate of the total bilateral hippocampal and subfield volumes (GC-DG, ML and CA4) in all PD patients (PD without cognitive decline group and PD with cognitive decline group) (Figures 3,4).

Table 6 Hippocampal subfield volumes (mm³) of participants in the longitudinal study
Full table

Figure 2 Differences between longitudinal groups in hippocampal subfield volumes. PD-NCD, PD without cognitive decline group; PD-CD, PD with cognitive decline group; CA, cornus ammonis; GC-DG, granule cell layer of dentate gyrus; ML, molecular layer; HATA, hippo-campus-amygdala transition area; graphic presenting data distribution with average means and standard errors. *, indicates significant results.

Figure 3 Correlations between longitudinal change of neuropsychological scores and mean percent change rate of left subfield volumes in all PD patients. CA, cornus ammonis; GC-DG, granule cell layer of dentate gyrus; ML, molecular layer; D-value, change of scores between baseline and follow-up; MMSE, Mini Mental State Examination; MoCA, Montreal Cognitive Assessment. Change rate = (volume_baseline − volume_follow-up) ×100%/volume_baseline.

Figure 4 Correlations between longitudinal change of neuropsychological scores and mean percent change rate of right subfields volumes in all PD patients. CA, cornus ammonis; GC-DG, granule cell layer of dentate gyrus; ML, molecular layer; D-value, change of scores between baseline and follow-up; MMSE, Mini Mental State Examination; MoCA, Montreal Cognitive Assessment. Change rate = (volume_baseline − volume_follow-up) ×100%/volume_baseline.

Discussion

This study explored the pattern of decrease in the volume of the total hippocampus and hippocampal subfields in PD patients. In the baseline groups, the total bilateral hippocampal volume, bilateral subiculum, CA2/3, CA4, ML, and right GC-DG subfields were significantly smaller in PD patients. Also, there were significant correlations between the MoCA score and total hippocampus volume in PD patients. In the follow-up groups, total bilateral hippocampal volume, bilateral CA4, ML, and GC-DG subfields, and the left CA2/3 and right presubiculum subfields were also significantly atrophied in PD patients with cognitive decline compared to patients without cognitive decline. Furthermore, there were significant correlations between the longitudinal change of neuropsychological scores and mean percent change rate of bilateral total hippocampal, GC-DG, ML, and CA4 in all PD patients.

Structural MRI imaging was regarded as a recent biomarker for neurodegeneration. To date, atrophy of the total hippocampus and hippocampal subfield is a positive biomarker for dementia found in Alzheimer’s disease (AD) (25) and vascular dementias (26). Total hippocampal and presubiculum atrophy in MCI is highly predictive of the future development of dementia (25,27). Many studies have found focal atrophy of the CA1 subfield in the early (predementia or even preclinical) stages of AD (28,29). However. what the structural imaging biomarkers for cognition status in PD actually have not yet been well established. Meanwhile hippocampal atrophy has been previously reported in imaging studies of PD with dementia and non-demented PD (30,31). Despite this, few neuroimaging studies have separately measured specific subregions within the hippocampus in non-demented PD longitudinally.

Our study showed significant volume loss in the hippocampal CA2/3, CA4, and DG subfields in PD patients. Several mechanisms underlying volume loss of the subfields in PD have been proposed. Histopathological studies have indicated that Lewy bodies and Lewy neurites are primarily observed in the CA2 and CA3 subfields, and pathological evidence of Lewy neurite burden and an Alzheimer’s disease-like pattern of hippocampal atrophy have been observed in PD patients with MCI (11,32). The DG, like the CA2/3 subfield, shows a-synuclein presynaptic axon pathology in postmortem PD brains that could impair normal synaptic release, produce synaptic dysfunction, and eventually degenerate presynaptic terminals (33). Previous studies also found the atrophy of CA2/3 and CA4-DG in PD using 1.5 T MRI relative to matched healthy control individuals, which was highly consistent with the current study (34).

Moreover, the hippocampal CA2/3, CA4, and DG subfields appeared sensitive in PD with cognitive decline longitudinally. The increasing volume loss over time could relate to the progression of PD. However, volume loss of the combined CA2, CA3, and DG area in AD has only been reported in a few in vivo MRI studies (35,36), and most studies highlighted a focal atrophy of the CA1 subfield in the early stages of AD (29), which was found to correlate with the density of NFT (28). Thus, these results indicate different hippocampal regional vulnerabilities in different neurodegenerative diseases. Churchyard and Lees suggested that the Lewy neurite formation process in CA2/3 and DG produces hippocampal dysfunction and impairs cognitive function, while the pathological change in the CA2/3 and DG was associated with the severity of dementia (11). In view of the high proportion of dementia in PD patients (37), we speculate that the atrophy of CA2/3, CA4, and DG subfields longitudinally could represent an indicator for the conversion from non-demented to dementia in PD patients.

Furthermore, our study showed significant correlations between the longitudinal change of neuropsychological scores and mean percent change rate of bilateral total hippocampal, GC-DG, ML, and CA4 in all PD patients, which confirms our suspicions that CA2/3 and CA4-DG volume loss is related to cognitive decline in PD patients. Previous studies in healthy subjects have shown that these different hippocampal subfields make distinct contributions to the stages of memory processing (38,39). The CA4 and DG sectors are close to the CA3 subfield spatially, and pathological evidence has demonstrated the presence of presynaptic α-synuclein burden in the DG in postmortem PD brains. The pathological change could disrupt synaptic function and, in turn, degenerate presynaptic terminals (33). Previous studies have suggested that general cognitive ability is positively associated with CA4 volumes and ML development (20); furthermore, CA4/DG volume was found to predict concurrent associative memory performance (40). Our findings of a correlation between global cognitive status and GC-DG, ML, and CA4 volumes in PD patient samples are consistent with these studies, and confirm the crucial role of the hippocampus (41) and specific subfields (38,39) in cognitive dysfunction and disease progression in PD.

The assessment of global cognitive status in the PD patients was highly consistent with previous studies (18,42). However, the current study solely focused on cognitive dysfunction and did not assess psychotic symptoms, which limited our ability to covary the results for the presence of psychotic symptoms. There is increasing evidence for a strong relationship between psychotic symptoms and hippocampal atrophy (43,44), as shown in a longitudinal study on psychosis, and psychosis in patients with PD has also been recently related to a smaller hippocampal volume (45). Given these facts, future studies should focus on the interactions between cognitive symptoms and psychotic symptoms, along with their influence on the hippocampus and specific subfields.

There are several limitations to this study. First, our study had a small sample size, which limited our statistical power and the ability to reach significance in several of the analyses. In addition, healthy volunteers were not enrolled over time in the study, which weakens the rigor and persuasiveness of the study. Furthermore, only a global measure of cognition was used. The subjects did not receive a comprehensive neuropsychological battery, which limited our ability to assess more specific associations between structural alterations and cognitive decline. Thus, future studies need to enroll larger samples of patients and healthy volunteers longitudinally, with more detailed assessment of cognitive domains, which could increase the ability to draw specific conclusions about cognitive decline longitudinally in PD as compared to normal aging. Third, most of the PD patients were under dopaminergic medications, and the effects of dopaminergic medications were not excluded. Moreover, there were methodological issues, one of which was that the MRI resolution restricted hippocampal subfield segmentation. However, the latest versions of FreeSurfer was used to improve the sensitivity to identify group differences, and this version has consistency with the results of the manual segmentation technique (21). Meanwhile, the signal-to-noise characteristics at 3 Tesla in the current study were improved over 1.5 Tesla with the routine T1-weighted scans (46).

Conclusions

Neuroimaging offers great promise for the study of disease pathogenesis and the evolution of non-motor syndromes, particularly in studying brain structure changes in PD. We explored the pattern of reductions in the volume of the total hippocampus and of specific hippocampal subfields in PD patients. In particular, we report longitudinally decreased bilateral CA2/3, CA4, and DG subfield volume in PD with cognitive decline. Furthermore, these findings support the crucial role of the hippocampus in the cognition of PD patients and should contribute to the future study of cognitive symptoms in PD patients. In summary, our findings corroborate neuropathological findings and add novel information about the involvement of the hippocampus in the cognitive dysfunction of PD.

Acknowledgments

Funding: This work was supported by the National Nature Science Foundation of China (No. 81701664) and the Technology Innovation Program in Southwest Hospital (SWH2016JCYB-30).

Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.

Ethical Statement: The present study was approved by the Ethics Committee of Southwest Hospital, and written informed consent to participate in the study was obtained from all subjects.

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