Functional Connectivity of the Hippocampus in Early- and vs. Late-Onset Alzheimer's Disease

Kee Hyung Park; Young Noh; Eun-Jung Choi; Hyungsik Kim; Sohyun Chun; Young-Don Son

doi:10.3988/jcn.2017.13.4.387

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Park, Noh, Choi, Kim, Chun, and Son: Functional Connectivity of the Hippocampus in Early- and vs. Late-Onset Alzheimer's Disease

Original Article

Journal of Clinical Neurology (Seoul, Korea) 2017; 13(4): 387-393.

Published online: 27 September 2017

DOI: https://doi.org/10.3988/jcn.2017.13.4.387

Functional Connectivity of the Hippocampus in Early- and vs. Late-Onset Alzheimer's Disease

Kee Hyung Park^a,^*, Young Noh^a,^b, Eun-Jung Choi^b, Hyungsik Kim^c, Sohyun Chun^d, Young-Don Son^b,^e,^*

^aDepartment of Neurology, Gachon University Gil Medical Center, Incheon, Korea.

^bNeuroscience Research Institute, Gachon University, Incheon, Korea.

^cDepartment of Family Medicine, Gachon University Gil Medical Center, Incheon, Korea.

^dDepartment of Radiology, Gachon University Gil Medical Center, Incheon, Korea.

^eDepartment of Biomedical Engineering, College of Health Science, Gachon University, Incheon, Korea.

Correspondence: Young-Don Son, PhD. Department of Biomedical Engineering, College of Health Science, Gachon University, 191 Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Korea. Tel +82-32-820-4416, Fax +82-32-820-4449, ydson@gachon.ac.kr

Correspondence: Kee Hyung Park, MD, PhD. Department of Neurology, Gachon University Gil Medical Center, 21 Namdong-daero 774beon-gil, Namdong-gu, Incheon 21565, Korea. Tel +82-32-460-3346, Fax +82-32-460-3344, khpark@gachon.ac.kr

Equal contributor:

^*These authors contributed equally to this work.

Received 24 August 2016 Revised 17 June 2017 Accepted 20 June 2017

Korean Neurological Association

(open-access, http://creativecommons.org/licenses/by-nc/4.0/):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background and Purpose

Early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD) have different clinical and neuroimaging characteristics, but memory decline is usually present in both types. However, there have been few functional studies focused on the hippocampus in Alzheimer's disease. We therefore investigated the functional connectivity between the hippocampus and other brain regions using resting-state fMRI and compared the findings between EOAD and LOAD.

Methods

We recruited 13 patients with EOAD and 19 patients with LOAD at the early disease stage. Twenty-one young controls and ten old controls were also recruited. Each participant completed a standardized neuropsychological battery of tests and underwent T1-weighted structural MRI. fMRI data were acquired during the resting state using 3-T MRI. The functional connectivity to the hippocampus was calculated based on automated anatomical labeling templates.

Results

The functional connectivity from the hippocampus to other brain regions differed between patients with EOAD and LOAD. The LOAD patients showed decreased hippocampal connectivity to cortical regions, such as to the middle temporal cortex, orbitofrontal cortex, postcentral cortex, supramarginal cortex, and rolandic operculum. In contrast, EOAD patients showed smaller functional changes of the cortical regions connected to the hippocampus, such as the middle frontal cortex.

Conclusions

EOAD and LOAD patients exhibited different hippocampal connectivity. The memory decline in EOAD may be due to brain areas other than the hippocampus.

Keywords: early-onset Alzheimer's disease, late-onset Alzheimer's disease, functional connectivity, hippocampus

INTRODUCTION

Alzheimer's disease (AD) is the main cause of dementia. This disease typically presents with episodic memory impairment, which reflects previous degradation of the medial temporal lobe. The hippocampus is one of the earliest affected brain regions in AD,1 and its degradation has been found to be a hallmark of AD in many structural and functional imaging studies. Hippocampal volume loss and atrophy rates were found to differ significantly between AD patients and controls, and are probably good candidates for predicting the progression to AD.2 3 The loss of synapses in the hippocampus in AD has been consistently found in histological studies4 and diffusion-tensor imaging studies.5 6 Functional connectivity as revealed using resting-state fMRI has received particular attention in brain imaging research, and has also been researched in AD. Alterations in functional connectivity between AD and control groups have been reported,7 8 with decreased hippocampal connectivity found in patients with AD.9

Attention has recently been paid to two specific classifications of AD based on the age at the appearance of disease symptoms: early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD). Previous studies have shown that EOAD and LOAD patients exhibit differences in both clinical characteristics and neuroimaging findings. EOAD shows more diverse cognitive impairments than LOAD, such as reduced attention, decreases in lingual, visuospatial, and frontal-executive function, impaired memory, and apraxia. This functional degradation in EOAD progresses more rapidly than that in LOAD.10 11 Structural imaging studies of the cortical thickness11 12 and shape13 14 and using [¹⁸F]fluorodeoxyglucose positron-emission tomography15 16 and [¹¹C]Pittsburgh compound-B positron-emission tomography17 have also demonstrated significant differences between EOAD and LOAD.

A particularly interesting finding was that the hippocampal sparing occurred at a younger age in AD groups in both pathological18 and structural imaging19 studies. We therefore hypothesized that different functional mechanisms underlie EOAD and LOAD, and that the functional connectivity between the hippocampus and other brain regions can be differentiated according to the age at the onset of AD. In this study, we investigated changes in functional connectivity in the bilateral hippocampus between patients with EOAD and LOAD using resting-state fMRI.

METHODS

Participants

Patients

According to the age at the disease onset, we prospectively recruited 13 patients with EOAD (onset at younger than 65 years) and 19 patients with LOAD (onset at 65 years of age or older) from the Memory Disorder Clinic at Gachon University Gil Medical Center. The patients met the criteria for probable AD as proposed by the National Institute of Neurological and Communicative Disorders and Stroke, and the Alzheimer's Disease and Related Disorders Association.20 None of the patients had a family history suggestive of an autosomal dominant disease. We excluded patients with other structural lesions found in brain MRI, such as a brain tumor, hydrocephalus, territorial infarction, intracranial hemorrhage, or severe white-matter hyperintensities (defined as a cap or band with a maximum diameter measured perpendicular to the ventricle of ≤10 mm, or a deep white-matter lesion with a maximum diameter of ≤25 mm, as modified from the Fazekas ischemia criteria).21 To ensure a clear distinction between EOAD and LOAD, patients between 65 and 70 years old were excluded. The demographic characteristics of the participating subjects are summarized in Table 1.

Controls

We recruited 31 healthy volunteers to serve as normal controls (NCs). These subjects had no history of neurological or psychiatric illnesses and no abnormalities in a neurological examination. The NC group exhibited normal cognition in the Mini Mental State Examination and detailed neuropsychological tests. To compare AD groups with their age-matched control groups, the NC group was divided into two subgroups, young controls (YCs) and old controls (OCs), based on whether the subjects were younger or older than 65 years, respectively. Among 31 NCs, 21 were designated as YCs10 were designated as OCs.

This study was approved by the Institutional Review Board of Gachon University Gil Medical Center (approval no. GIRB D0003-2012). We obtained informed consent from all of the patients and control subjects.

Neuropsychological tests

The patients and NCs underwent a standardized neuropsychological battery of tests called the Seoul Neuropsychological Screening Battery (SNSB).22 This battery contains tests for attention, language, praxis, four elements of Gerstmann syndrome, visuoconstructive function, verbal and visual memory, and frontal/executive function. Among these subtests, the tests with quantitative scores used in the current study included digit span (forward and backward), the Korean version of the Boston Naming Test, the Rey-Osterrieth Complex Figure Test (copying, immediate and 20-minute delayed recall, and recognition), the Seoul Verbal Learning Test (SVLT; 3 learning free-recall trials of 12 words, a 20-minute delayed-recall trial for those 12 items, and a recognition test), the phonemic and semantic Controlled Oral Word Association Test, and the Stroop Test (word and color reading of 112 items during a 2-minute period). The resultant SNSB scores for each subject were converted into standard scores (z-scores) derived using adjusted norms for age and education level.

We also performed evaluations using the Korean version of the Mini Mental State Examination (K-MMSE), Clinical Dementia Rating (CDR), Clinical Dementia Rating Sum of Boxes, and the Geriatric Depression Scale.

Scan protocol

T1-weighted structural MRI and fMRI data were acquired using 3-T MRI (Verio, Siemens, Germany). A T1-weighted scan with an MPRAGE3D pulse sequence was performed using the following parameters: repetition time (TR)=1,900 ms, echo time (TE)=3.3 ms, flip angle=9°, and voxel size=1.0×1.0×1.0 mm³. For functional connectivity, patients were scanned for 9 minutes using gradient-echo echo planar imaging (EPI) with the following parameters: TR=3,000 ms, TE=30 ms, and voxel size=3.5×3.5×3.5 mm³. The participants were instructed to open their eyes and to not move their head during fMRI data acquisition.

Image analysis

The Resting-State fMRI Data Analysis Toolkit (Beijing Normal University, Beijing, China) was used to assess functional connectivity. T1-weighted MPRAGE3D images were coregistered to the EPI images and segmented using Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra (DARTEL) algorithm implemented. The EPI data were realigned to remove head motion that had occurred during data acquisition. Structural and functional images were normalized to the Montreal Neurological Institute template based on the segmented T1-weighted structural MRI images. Detrend and bandpass filters (0.01–0.08 Hz) were applied to remove linear drift and physiological noise, respectively. An isotropic three-dimensional Gaussian smoothing filter with a 6-mm full width at half maximum was applied to suppress spatial noise. Based on a region defined in the automated anatomical labeling, the left and right hippocampi were selected as the seed regions; Pearson's product-moment correlation coefficients were calculated for the correlations of the averaged signals within the selected region of interest with the other signals in the other voxels. The correlation-coefficient maps were converted into z-maps using Fisher's r-to-z transform in order to improve consistency with normality.

Statistical analysis

Commercial statistics software (SPSS Statistics version 18, SPSS Inc., Chicago, IL, USA) was used to assess group differences in demographic variables and cognitive test results between patients with EOAD or LOAD and each age-matched NC group. Student's t-test was used when analyzing continuous variables, while the chi-square test was used when analyzing categorical variables.

SPM8 (Wellcome Trust Centre for Neuroimaging, University College London, London, UK) was used to statistically analyze the correlation-coefficient map of the resting fMRI data. A two-by-two factorial design was adopted for the secondary analysis of the correlation map in order to identify group differences in hippocampal connectivity. The two factors were onset age and presence of the disease, while the number of years of education, sex, and age of subjects were adjusted as the covariates. Each AD group was compared with the corresponding control group using the (EOAD-YCs) and (LOAD-OCs) contrast. The interaction effect between the onset age and presence of the disease was analyzed using the (LOAD-OCs)-( EOAD-YCs) contrast. The significance cutoff was set to p<0.005 in this analysis.

RESULTS

Neuropsychological tests

As indicated in Table 1, age differed significantly between the EOAD and LOAD groups (p<0.001). As expected, the K-MMSE score and CDR differed significantly between controls and patients, both in the EOAD and LOAD groups (p<0.001), with the mean K-MMSE score being significantly higher in the EOAD group than the LOAD group (p=0.003).

The SNSB was applied to evaluate the impacts of AD on various cognitive functions. As expected, the scores were significantly lower in patient groups than the corresponding control groups in each SNSB test. SVLT delayed recall and SVLT recognition were worse for EOAD than for LOAD (Table 2).

Voxel-wised hippocampal connectivity between EOAD and LOAD

Hippocampal connectivity in the EOAD and LOAD groups was compared to that in the corresponding age-matched control groups, as shown in Fig. 1. Left hippocampal connectivity to the right middle frontal cortex was decreased in the EOAD group compared to the YCs. No significant difference was observed in right hippocampal connectivity in the EOAD group. In the LOAD group, the left hippocampal connectivity to the left middle temporal cortex was decreased while that to the left caudate nucleus was increased. The right hippocampal connectivity to the left orbitofrontal cortex, left postcentral cortex, left supramarginal cortex, and right rolandic operculum was decreased in the LOAD group compared to the OCs, while that to the bilateral caudate nucleus was increased.

In order to detect the interaction effect between the disease presence and onset age, hippocampal connectivity changes were calculated using the (OCs-LOAD)-(YCs-EOAD) contrast, as shown in Fig. 2. The difference in left hippocampal connectivity in the left inferior parietal cortex and the left orbitofrontal cortex was greater in the LOAD group than the EOAD group, relative to the corresponding control groups, while the EOAD group showed a greater difference than the LOAD group in the left caudate nucleus, relative to the corresponding NC. The LOAD group showed a greater difference in right hippocampal connectivity in the bilateral postcentral cortex and the left orbitofrontal cortex than the EOAD group, relative to the corresponding control groups, while the EOAD group showed a greater difference than the LOAD group in the right caudate nucleus, relative to the corresponding control groups. The difference in the right caudate nucleus seems to be caused by the hippocampal connectivity being increased in the LOAD group compared to the OC group.

DISCUSSION

This study found that the hippocampal connectivity differed between EOAD and LOAD patients. Patients with LOAD showed decreased hippocampal connectivity with broad cortical areas compared to the corresponding control group, such as from the left hippocampus to the middle temporal cortex, and from the right hippocampus to the left orbitofrontal cortex, left postcentral cortex, supramarginal cortex, and right rolandic operculum. Conversely, functional connectivity in the bilateral hippocampus of patients with EOAD was relatively preserved, with only a decrease in the left hippocampal connectivity to the right middle frontal cortex.

The present LOAD results are consistent with the findings of previous studies involving patients with AD.9 23 Wang et al.9 reported that patients with mild AD showed decreased functional connectivity between the hippocampus and the medial prefrontal cortex, ventral anterior cingulate cortex, inferior temporal cortex, middle temporal cortex, and posterior cingulate cortex. Direct correlation analysis of the hippocampus showed a significant decrease in its functional connectivity with the posterior cingulate cortex and lateral parietal areas.23 In patients with LOAD, the functional hippocampal changes in the early stages of the disease may correspond to structural hippocampal changes. Previous studies have found that patients with LOAD show greater atrophy in the hippocampus24 25 and rapid cortical thinning in the left parahippocampal gyrus.11 We therefore postulate that hippocampal atrophy in LOAD is closely related to the degradation of functional connectivity between the hippocampus and other cortical regions.

Patients with EOAD showed decreased left hippocampal connectivity only to the right middle frontal cortex, while the right hippocampus did not show any significant change in cortical area connectivity. This might be explained by previous findings of EOAD patients having more cortical atrophy and neurofibrillary tangles in the parietal cortex, lateral cortex, and frontal cortex than in the medial temporal area.18 26 Furthermore, Cho et al.11 reported results for regions other than the hippocampus, with EOAD patients showing more rapid cortical thinning in various association cortices, and more gray-matter loss in the occipital and parietal lobes.24 25 Although the medial temporal area is relatively spared in EOAD, these patients still report memory decline. Instead of hippocampal dysfunction, they may have dorsolateral prefrontal and parietal dysfunction, with deficits in attention and working memory. Conversely, their episodic memory impairments may result from precuneus damage or its extension to the retrosplenial region.21 Our data demonstrate that the functional connectivity of the hippocampus to most cortical regions in EOAD was not significantly decreased compared to that in the corresponding control group. The decreased connectivity between the left hippocampus and right middle frontal cortex may be associated with deficits in attention and working memory in patients with EOAD.

Instead of performing direct comparisons between EOAD and LOAD, we compared the differences of EOAD and LOAD with each corresponding control group classified according to age. However, this approach means that caution is required when interpreting the results shown in Fig. 2. The decreased hippocampal connectivity of the LOAD group compared to the OC group is more prominent than that of the EOAD group compared to the YC group in several cortical areas, including the left frontal orbital cortex and left inferior parietal cortex. This implies increased hippocampal impairment in the LOAD group relative to the EOAD group, as discussed above. However, the blue blobs at the caudate nucleus in Fig. 2 do not represent decreased hippocampal connectivity of the EOAD group compared to the YC group, but rather the increased hippocampal connectivity of the LOAD group compared to the OC group, according to Fig. 1B and D. These increased changes in the LOAD group may be explained by compensational recruitment in the subcortico-hippocampal connectivity of Papez's circuit due to the decreased corticohippocampal function.

Furthermore, this study involved a relatively small number of subjects. However, the obtained data are consistent with the findings of several other studies. This study is noteworthy because we observed differences in the functional connectivity of the hippocampus between the EOAD and LOAD groups. Nonetheless, future studies with large numbers of subjects are needed to bolster our results. This study involved patients with early-stage AD in both the EOAD and LOAD groups. Patients in the late stages of both EOAD and LOAD generally show impaired function and structural lesions, which suggests that EOAD and LOAD have different progressions in hippocampal dysfunction. It can be concluded that the differences in hippocampal connectivity between EOAD and LOAD may explain the differences in clinical presentations observed during the early stages of the disease course.

Acknowledgements

This research was supported by the Gachon University Gil Medical Center (Grant number: 2013-45) and by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2012M3A9B605 5379).

Notes

Conflicts of Interest: The authors have no financial conflicts of interest.

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Fig. 1

Hippocampal connectivity changes between AD and control groups (EOAD vs. YCs and LOAD vs. OCs). A: Connectivity from the left hippocampus in EOAD vs. YCs. B: Connectivity from the left hippocampus in LOAD vs. OCs. C: Connectivity from the right hippocampus in EOAD vs. YCs. D: Connectivity from the right hippocampus in LOAD vs. OCs. Red blobs indicate the regions in which hippocampal connectivity of the total AD group was significantly decreased (p<0.005) relative to that in the corresponding controls. Blue and green blobs indicate the regions in which hippocampal connectivity of the total AD group was significantly increased (p<0.005) compared to that in the corresponding controls. EOAD: early-onset Alzheimer's disease, LOAD: late-onset Alzheimer's disease, OCs: old controls, YCs: young controls.

Fig. 2

Comparison of hippocampal connectivity changes as calculated using the (OCs-LOAD)-(YCs-EOAD) contrast between EOAD and LOAD for each corresponding control group. A: Connectivity from the left hippocampus. B: Connectivity from the right hippocampus. Red blobs indicate the regions in which the decrease in hippocampal connectivity in the LOAD group compared to OCs was significantly larger (p<0.005) than that in EOAD compared to YCs. Blue blobs indicate the regions in which the decrease in hippocampal connectivity in the EOAD group compared to YCs was significantly larger (p<0.005) than that in LOAD compared to OCs. EOAD: early-onset Alzheimer's disease, LOAD: late-onset Alzheimer's disease, OCs: old controls, YCs: young controls.

Table 1

Demographic characteristics of the participating subjects

	EOAD (n=13)	YCs (n=21)	EOAD vs YCs (p)	LOAD (n=19)	OCs (n=10)	LOAD vs OCs (p)	LOAD vs EOAD (p)
Age, years^*	58.10±4.44 (53–63)	56.80±4.55 (51–64)	0.431	75.90±3.25 (72–85)	75.20±4.27 (70–83)	0.627	<0.001
Sex (F/M)^†	8/5	13/8	0.999	16/3	7/3	0.633	0.219
Education, years^*	8.27±4.27 (0.5–16)	10.0±5.59 (0.5–16)	0.347	5.42±4.21 (0.5–12)	7.70±4.47 (3–16)	0.186	0.071
K-MMSE score^*	20.80±3.90 (12–25)	27.70±1.79 (24–30)	<0.001	16.60±3.30 (12–28)	26.40±1.71 (24–30)	<0.001	0.003
CDR^*	0.58±0.18 (0.5–1.0)	0.24±0.26 (0.0–0.5)	<0.001	0.63±0.23 (0.5–1.0)	0.20±0.26 (0.0–0.5)	<0.001	0.479
CDR-SB^*	2.88±1.40 (1.0–5.0)	0.31±0.37 (0.0–1.0)	<0.001	3.11±1.29 (1.5–5.0)	0.20±0.26 (0.0–0.5)	<0.001	0.649

Data are mean±SD (range) values.

^*Student's t-test was used to compare continuous variables, ^†The chi-square test was used to compare categorical variables.

CDR: Clinical Dementia Rating, CDR-SB: Clinical Dementia Rating Sum of Boxes, EOAD: early-onset Alzheimer's disease, K-MMSE: Korean version of the Mini Mental State Examination (scored out of 30), LOAD: late-onset Alzheimer's disease, OCs: old controls, YCs: young controls.

Table 2

Neuropsychological test results

	EOAD (n=13)	YCs (n=21)	EOAD vs YCs (p)	LOAD (n=19)	OCs (n=10)	LOAD vs OCs (p)	LOAD vs EOAD (p)
Digit span (forward)	−0.89±1.24	0.54±0.96	0.001	−0.51±0.88	0.51±1.29	0.017	0.498
Digit span (backward)	−1.37±1.23	−0.07±1.06	0.003	−0.64±1.02	0.37±0.98	0.019	0.088
K-BNT	−1.89±1.91	0.06±1.73	0.014	−2.86±1.89	1.39±1.48	<0.001	0.165
RCFT	−3.07±4.10	0.27±0.89	0.005	−2.20±1.79	0.11±0.67	<0.001	0.234
SVLT (immediate recall)	−2.06±0.88	−0.61±0.99	<0.001	−1.87±0.97	−0.46±1.03	0.001	0.562
SVLT (delayed recall)	−2.68±0.60	−0.10±1.21	<0.001	−1.81±0.57	−0.18±0.92	<0.001	<0.001
SVLT (recognition)	−3.38±1.04	0.12±1.60	<0.001	−1.97±2.05	−0.43±0.93	0.034	0.030
RCFT (immediate recall)	−1.79±0.63	0.07±1.34	<0.001	−1.28±0.89	−0.04±0.79	0.001	0.090
RCFT (delayed recall)	−2.03±0.59	0.13±1.33	<0.001	−1.48±0.40	0.05±0.69	<0.001	0.370
RCFT (recognition)	−2.57±1.33	−0.27±0.87	<0.001	−2.27±1.08	−0.53±0.71	<0.001	0.484
COWAT (semantic)	−1.74±0.98	−0.21±0.82	<0.001	−1.73±0.85	0.33±0.87	<0.001	0.985
COWAT (phonemic fluency)	−1.61±0.66	−0.33±1.06	<0.001	−1.06±0.81	0.87±1.64	0.005	0.056
Stroop Test (color reading)	−2.97±2.27	−0.40±1.28	0.002	−1.72±1.00	0.26±1.34	<0.001	0.083

Data are mean±SD values. Student's t-test was used to compare continuous variables.

COWAT: Controlled Oral Word Association Test, EOAD: early-onset Alzheimer's disease, K-BNT: Korean version of the Boston Naming Test, LOAD: late-onset Alzheimer's disease, OCs: old controls, RCFT: Rey-Osterrieth Complex Figure Test, SVLT: Seoul Verbal Learning Test, YCs: young controls.

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