Literature DB >> 34178012

Characteristics of Regional Cerebral Blood Flow in Alzheimer Disease and Amnestic Mild Cognitive Impairment by Single-Photon Emission Computerized Tomography: A Cross-Sectional Study.

Yota Kunieda1,2, Chiaki Arakawa3, Takumi Yamada2, Mizue Suzuki1,4, Shingo Koyama1,4, Yosuke Kimura4, Takeo Ichikawa4, Shuhei Shino4, Minoru Yamada4, Ryuto Hirokawa5, Tadamitsu Matsuda6, Tomokazu Takakura1, Tomohide Adachi7, Haruhiko Hoshino7.   

Abstract

INTRODUCTION: The regional cerebral blood flow (rCBF) distribution can affect brain functioning, leading to amnestic mild cognitive impairment (aMCI) and mild Alzheimer disease (AD). This study aimed to clarify the detailed characteristics of rCBF distribution in patients with mild AD and aMCI.
METHODS: This cross-sectional study from April 2015 to March 2018 included 103 older adults (mean age 78.9 years; 60% females), out of a total of 302 adults, and categorized them into 3 groups according to cognitive symptoms. The normal control (NC), aMCI, and mild AD groups included 20, 50, and 33 participants, respectively. The primary outcome was rCBF, which was compared among the 3 groups using a 2-sample t test without correction for multiple comparisons.
RESULTS: In the aMCI group, the rCBF decreased in the bilateral parietal and left frontal association cortex and the bilateral premotor cortex (p < 0.01) but increased in the bilateral cerebellum (p < 0.01). In the mild AD group, the rCBF decreased in the bilateral parietal and occipital association cortex, the bilateral premotor cortex, the left temporal and frontal association cortex, and the left limbic lobe (p < 0.01). Conversely, the rCBF increased in some parts of the cerebellum, the bilateral frontal and temporal association cortex, the left occipital association cortex, and the right premotor cortex (p < 0.01).
CONCLUSION: Based on the analysis of the values obtained, it was inferred that the rCBF undergoes reduction and elevation in aMCI and AD patients.
Copyright © 2021 by S. Karger AG, Basel.

Entities:  

Keywords:  Alzheimer dementia; Cross-sectional study; Mild cognitive impairment; Regional cerebral blood flow; Single-photon emission computerized tomography

Year:  2021        PMID: 34178012      PMCID: PMC8215965          DOI: 10.1159/000515864

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Dis Extra        ISSN: 1664-5464


Introduction

Single-photon emission computerized tomography (SPECT) has been increasingly employed for the diagnosis of functional alterations in the brain, resulting in mild cognitive impairment (MCI) or Alzheimer disease (AD) [1, 2, 3]; the extent of hypoperfusion on SPECT is greater than the atrophy on magnetic resonance imaging (MRI) [4]. Studies with SPECT have indicated the characteristics of the regional cerebral blood flow (rCBF) in older adults with MCI [5, 6, 7, 8, 9] or mild AD [9, 10, 11, 12, 13, 14, 15, 16, 17]. Consequently, specific areas, such as the posterior cingulate gyrus, the parietotemporal association cortex, and the medial temporal lobe, are regarded as the primary affected regions; however, the primary motor, sensory, and visual cortices are reported to be typically spared until the extremely severe stages [5]. However, these findings are yet to be established; the majority of such studies have been conducted in a relatively minor group of subjects [9, 12, 13, 15], with some analyzing exclusively those regions of the brain with a decreased rCBF [8, 9, 11, 15, 17]. The aim of the present study was to specify the characteristics of rCBF distribution in patients who have progressed to mild AD and amnestic MCI (aMCI) compared to typical older adults.

Materials and Methods

Study Design and Participants

The present cross-sectional study included 302 Japanese older adults who consulted the memory clinic of the Tokyo Saiseikai Central Hospital for a cognitive function examination from April 2015 to March 2018; cerebral blood flow was examined by SPECT. Out of 302 patients, 199 were excluded due to: age <65 years (n = 10), stroke comorbidity (n = 6), tracers other than 99mTc-ECD (n = 74), a non-AD dementia diagnosis based on National Institute of Neurological and Communicative Disorders and Stroke and Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria [18] or the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [19] (n = 55), a Mini-Mental State Examination (MMSE) [20] score <20 (n = 24), non-aMCI (n = 1), and missing data (n = 27); the present study analyzed 103 older adults. The study participants were divided into the following 3 groups: normal control (NC), aMCI, and mild AD. The NC category included those diagnosed with age-related cognitive decline or impairment. The aMCI class included those diagnosed according to MCI criteria [21], brain imaging, and medical examination via an interview. The mild AD group included those diagnosed based on NINCDS-ADRDA criteria [18] or the DSM-5 [19]. The NC, aMCI, and mild AD groups included 20, 50, and 33 participants, individually.

Study Measurements

Patient demographic and clinical characteristics were retrospectively extracted from medical records. These included age, sex, years of education, handedness, number of household members, dementia medication after diagnosis, prevalence of risk factors and comorbidities, z-scores based on the voxel-based specific regional analysis system for AD (VSRAD) to assess the degree of hippocampal atrophy [7, 22], and MMSE scores. rCBF, as the primary outcome, was examined by SPECT.

SPECT Evaluation

All of the participants underwent SPECT imaging with radiopharmaceutical technetium-99 m ethyl cysteinate dimer (99 mTc-ECD; Neurolite, Fujifilm RI Pharma, Tokyo, Japan) for measurement of the rCBF, injected with 600 MBq of 99 mTc-ECD in a supine resting state. After 10 min, neurological scanning was performed using an integrated SPECT/CT system (Discovery NM/CT 670 QSuite; GE Healthcare, Tokyo, Japan). The matrix and pixel sizes of the images were 64 × 64 and 5.89 × 5.89 mm, respectively. Tomographic 3-D reconstruction was performed using a filtered back projection algorithm (Butterworth filter order 10 with a cut-off frequency of 0.5 cycles/cm) and Chang attenuation correction [23]. A voxel-by-voxel group study was performed using Statistical Parametric Mapping version 8 (SPM8; Welcome Department of Cognitive Neurology, University College London, London, UK), running on R2013a (MATLAB 8.1; Mathworks, Inc., Sherborn, MA, USA). The images were spatially normalized by SPM8 to an original template for 99 mTc-ECD [24]. The data were standardized with the Montreal Neurological Institute atlas using a 12-parameter affine transformation, followed by nonlinear transfiguration and a trilinear interpolation. The dimensions of the resulting voxels were 2 × 2 × 2 mm. The images were smoothened with a gaussian kernel as full width at half maximum of 12 mm. The Montreal Neurological Institute coordinates were finally converted into Talairach values using the Talairach Daemon database.

Statistical Analysis

Statistical analysis was performed using SPSS version 21 (IBM Japan, Tokyo, Japan). The Shapiro-Wilk test assessed the normality of the clinical and demographic data. For group comparisons, continuous variables with a normal distribution were analyzed by ANOVA. Analysis of variables with a nonnormal distribution was performed using the Kruskal-Wallis test; categorical variables were analyzed using a χ2 test. The Bonferroni-adjusted p value was used to assess differences in significance among groups. To compare rCBF in the SPM8, aMCI NC, and mild AD groups, an analysis was performed using the 2-sample t test (the general linear model at each voxel). Factors displaying significant differences between clinical and demographic characteristics were considered nuisance covariates. The significance of the rCBF was estimated at p < 0.01, without correction for multiple comparisons (T > 2.38).

Results

The clinical and demographic characteristics are described in Table 1. The mean (±SD) age was 78.9 ± 6.4 years and the median MMSE score was 26 (IQR 23–28) points. Age and antidementia medications were significantly higher in the mild AD group compared to the NC and aMCI groups (p < 0.05); contrastingly, the VSRAD z-score was significantly lower for in the mild AD group (p < 0.05). Furthermore, significant differences in MMSE scores were observed (p < 0.05).
Table 1

Clinical and demographic characteristics

OverallNCaMCIMild ADp valueaPost hoc testb
Subjects103205033
Age, years78.9±6.474.9±6.077.9±5.782.8±5.8<0.001a, b
Females60 (58.3)15 (75.0)24 (48.0)21 (63.6)0.088
Education, years12 (12–16)12.5 (12–15.5)12 (12–16)12 (9–14)0.099
Handedness
 Right98 (95.1)18 (90.0)48 (96.0)32 (97.0)0.361
 Left1 (1.0)1 (5.0)0 (0.0)0 (0.0)
 Ambidextrous4 (3.9)1 (5.0)2 (4.0)1 (3.0)
Household members (persons)2 (1–2)2 (1–2.8)2 (1.8–2)2 (1–2.5)0.758
Living alone30 (29.1)8 (40.0)12 (24.0)10 (30.3)0.406
Risk factors
 Hypertension53 (51.5)7 (35.0)25 (50.0)21 (63.6)0.124
 Dyslipidemia36 (35.0)9 (45.0)17 (34.0)10 (30.3)0.543
 Diabetes mellitus31 (30.1)4 (20.0)16 (32.0)11 (33.3)0.543
 Atrial fibrillation10 (9.7)1 (5.0)7 (14.0)2 (6.1)0.358
Comorbidities
 Heart disease14 (13.6)2 (10.0)7 (14.0)5 (15.2)0.863
 Respiratory disease10 (9.7)1 (5.0)5 (10.0)4 (12.1)0.694
 Orthopedic disease15 (14.6)1 (5.0)9 (18.0)5 (15.2)0.376
 Kidney disease9 (8.7)2 (10.0)3 (6.0)4 (12.1)0.612
 Mental illnesses5 (4.9)3 (15.0)1 (2.0)1 (3.0)0.062
VSRAD z-score1.34 (0.93–2.13) 1.17 (0.82–1.37) 1.16 (0.81–1.70) 2.15 (1.17–3.21)<0.001a, b
MMSE points26 (23–28)29 (27–29.8)27 (26–28)22 (21–24)<0.001a, b, c
Anti-dementia medication (yes)34 (33.0)0 (0.0)4 (8.0)30 (90.9)<0.001a, b
 Donepezil17 (16.5)0 (0.0)0 (0.0)17 (51.5)<0.001a, b
 Galantamine7 (6.8)0 (0.0)3 (6.0)4 (12.1)0.225
 Rivastigmine9 (8.7)0 (0.0)1 (2.0)8 (24.2)<0.001a, b
 Memantine1 (1.0)0 (0.0)0 (0.0)1 (3.0)0.343

Values are presented as means ± SD, medians (IQR), or numbers (%).

ANOVA, Kruskal-Wallis test, or χ2 test.

Bonferroni test, p < 0.05. a, NC vs. mild AD; b, aMCI vs. mild AD; c, NC vs. aMCI.

The brain regions with a decreased rCBF are shown in Table 2 and Figure 1.
Table 2

Brain regions showing a decreased rCBF

Association cortexRegionsSideBAMNI coordinates (x, y, z)t valuep value
In the aMCI group compared to the NC group

Frontal association cortexInferior frontal gyrusL47−50, 22, −83.050.002

Premotor cortexSuperior frontal gyrusR62, 26, 663.63<0.001
Middle frontal gyrusL6−26, 26, 623.280.001

Parietal association cortexPrecuneusR728, −48, 463.100.001
PrecuneusL70, −34, 462.540.007
Inferior parietal lobuleR4068, −26, 322.470.008
Inferior parietal lobuleL40−38, −40, 422.610.006

In the mild AD group compared to the aMCI group

Premotor cortexPrecentral gyrusR638, −12, 622.790.003
Superior frontal gyrusR616, 20, 642.510.007
Middle frontal gyrusL6−32, −2, 582.680.004

Parietal association cortexPrecuneusR712, −82, 483.67<0.001
Superior parietal lobuleR740, −54, 582.510.007
PrecuneusR710, −50, 462.480.008
Inferior parietal lobuleL40−40, −48, 543.200.001
Postcentral cyrusL40−40, −30, 543.050.002

Temporal association cortexInferior temporal gyrusL37−66, −54, −123.240.001
Middle temporal gyrusL37−56, −50, −102.720.004
Middle temporal gyrusL21−68, −50, −42.890.002
Occipital association cortexCuneusR1818, −100, 122.610.005
Middle occipital gyrusL19−46, −84, 123.170.001

Limbic lobeParahippocampal gyrusL35−28, −14, −222.810.003

OthersCuneusL−20, −94, 22.430.009

In the mild AD group compared to the NC group
Frontal association cortexMiddle frontal gyrusL46−42, 34, 182.770.004
Premotor cortexSuperior frontal gyrusR612, 26, 643.410.001
Middle frontal gyrusL6−26, 24, 623.390.001
Parietal association cortexInferior parietal lobuleR4042, −50, 583.010.002
Inferior parietal lobuleL40−40, −46, 483.56<0.001
Superior parietal lobuleR734, −58, 502.940.002
Superior parietal lobuleL7−34, −68, 483.190.001
PrecuneusL7−6, −68, 363.65<0.001

MNI, Montreal Neurological Institute; L, left; R, right. Unpaired t test in SPM8, uncorrected, covariate for age, p < 0.01.

Fig. 1

Brain regions mapping a decreased rCBF in SPM8. SPM t mapping was thresholded at an uncorrected p < 0.01 at the voxel level. A voxel-based unpaired t test covariated for age was used to identify voxels that differed significantly in the aMCI group compared to the NC group (a), the mild AD group compared to the aMCI group (b), and the mild AD group compared to the NC group (c), respectively. The most significant area was the right superior frontal gyrus (BA 6) in a, the right precuneus (BA 7) in b, and the left precuneus (BA 7) in c, respectively. R, right; L, left.

The aMCI group showed a reduction in the biparietal parietal and premotor cortex and the left frontal association cortices (p < 0.01, uncorrected) compared to NC; the most significant one was in the right superior frontal gyrus (Brodman area [BA] 6; shown in Fig. 1a). The mild AD group demonstrated a decrease in the left temporal, bilateral parietal, occipital association, and premotor cortices, as well as the left limbic lobe (p < 0.01, uncorrected), compared to the aMCI group; the most important one was in the right precuneus (BA 7; shown in Fig. 1b). Compared to NC, the mild AD group indicated a decline in bilateral parietal association and the premotor cortex, as well as the left frontal association cortices (p < 0.01, uncorrected); the most critical one was in the left precuneus (BA 7; shown in Fig. 1c). The brain regions that showed an increased rCBF are indicated in Table 3 and Figure 2.
Table 3

Brain regions showing an increased rCBF

Association cortexRegionsSideBAMNI coordinates (x, y, z)t valuep value
In the aMCI group compared to the NC group
Temporal association cortexInferior temporal gyrusL37−64, −60, −83.250.001
Occipital association cortexCuneusR1828, −100, 03.000.002
Fusiform gyrusR1936, −72, −82.730.004
OthersUvulaR18, −74, −323.88<0.001
ThalamusR26, −22, 62.920.002
CulmenR44, −34, −262.640.005
CulmenL−46, −38, −243.83<0.001
Inferior semi-lunar lobuleL−18, −68, −363.73<0.001

In the mild AD group compared to the aMCI group
Frontal association cortexInferior frontal gyrusR4756, 20, −43.190.001
Inferior frontal gyrusL47−52, 24, −82.560.006
Middle frontal gyrusL11−28, 36, −22.400.009
Temporal association cortexSuperior temporal gyrusR2264, 0, 42.610.005

In the mild AD group compared to the NC group
Frontal association cortexInferior frontal gyrusR4748, 40, −182.680.005
Premotor cortexMiddle frontal gyrusR636, −4, 442.640.005
Temporal association cortexMiddle temporal gyrusR3762, −64, −22.820.003
Fusiform gyrusR2046, −34, −242.860.003
Fusiform gyrusL20−50, −32, −303.51<0.001
Occipital association cortexMiddle occipital gyrusL19−58, −70, −42.720.004
OthersCerebellar lingualR0, −48, −183.56<0.001
Inferior semi-lunar lobuleL−10, −68, −403.60<0.001

Unpaired t test in SPM8, uncorrected, covariate for age, p < 0.01. MNI, Montreal Neurological Institute; L, left; R, right.

Fig. 2

Brain regions mapping an increased rCBF in SPM8. SPM t mapping was thresholded at an uncorrected p < 0.01 at the voxel level. A voxel-based unpaired t test covariated for age was used to identify voxels that differed significantly in the aMCI group compared to the NC group (a), the mild AD group compared to the aMCI group (b), and the mild AD group compared to the NC group (c), respectively. The most significant area was the right uvula at the cerebellum in a, right inferior frontal gyrus (BA 47) in b, and the left inferior semi-lunar lobule at the cerebellum in c, respectively. R, right; L, left.

Compared to the NC group, the aMCI group displayed elevation in certain areas in the bilateral cerebellum, as well as the left and the right occipital association cortices (p < 0.01, uncorrected); the most significant one was in the right uvula of the cerebellum (shown in Fig. 2a). In the mild AD group, rising rCBF levels were observed in specific areas of the bilateral frontal or right temporal association cortex (p < 0.01, uncorrected) compared to MCI; the most critical one was in the right inferior frontal gyrus (BA 47; shown in Fig. 2b). Compared to NC, the mild AD group displayed an increase in some of the cerebellum, the bilateral temporal cortex, the left occipital association cortex, the right frontal association, and the right premotor cortices (p < 0.01, uncorrected); the most important one was in the left inferior semi-lunar lobule of the cerebellum (shown in Fig. 2c).

Discussion

The present retrospective cross-sectional study investigated the characteristics of rCBF in patients with aMCI and mild AD. This was detected to be lower in the bilateral premotor, parietal, and left frontal association cortices in the aMCI group compared to NC; higher values were observed in the bilateral cerebellum. Second, for mild AD, a reduction was seen in the bilateral parietal, premotor, left temporal, occipital, and frontal association cortices, as well as the left limbic lobe, compared to the aMCI and NC groups. Contrastingly, an elevation was seen in specific portions of the cerebellum and the bilateral frontal, right premotor, temporal, and left occipital association cortices. The present investigation uncovered varying findings compared to previous studies. The present study showed decreased rCBF regions in the frontal lobe, such as the dorsal premotor and supplementary motor areas, in MCI patients; these are practically consistent with characteristics of AD patients [25]. Interestingly, attention deficit, especially executive control, may significantly contribute to the behavioral and cognitive deficits of aMCI [26], which are indicative of a decrease in rCBF. This is consistent with the hypotheses of previous studies. Some findings in the mild AD group and others were consistent with previous studies; however, others were not. Regions with a reduced rCBF, such as the temporal, occipital, and frontal association cortices, in addition to the parietal cortex, extended to the entire brain [5]. Similarly, mild AD displayed increased rCBF regions in the cerebellum and prefrontal cortex; this was consistent with previous studies comparing values to those of NC [16, 27, 28, 29, 30]. However, the integrated elevation and reduction in rCBF, including the cerebral hemisphere, lacked uniformity with previous studies [31, 32]. A significant increase in the cerebellum may cause a vanishing phenomenon, compensating for rCBF in the cerebral cortex [10] and possibly affecting aMCI or AD. The present study has strengths and limitations. The recruited patients were classified as mild AD, aMCI, or NC; both the decreased and elevated regions were considered for rCBF. The findings of the present study suggest detailed characteristics in mild AD and aMCI, providing evidence for the establishment of an effective intervention method. Contrastingly, its limitation is its cross-sectional design; important indicators of rCBF, such as memory and executive function, were not considered in the present study. Therefore, the pathway of changes and the relationship with multiple cognitive functions are not precise. Further studies with a longitudinal cohort or a clinical trial design in multiple facilities are required to overcome these limitations.

Conclusion

We observed the characteristics of changes in rCBF for patients with aMCI and AD. The specified regions of reduced and elevated rCBF are novel findings of the present study. Furthermore, it is necessary to clarify the background of the participants, including the cause and clinical symptoms of MCI or AD, and subsequently conduct a longitudinal clinical trial.

Statement of Ethics

The present study conformed to the ethical guidelines of the Declaration of Helsinki. The study protocol was reviewed and approved by the Ethics Committee of the Tokyo Saiseikai Central Hospital (approval No. 30-72).

Conflict of Interest Statement

The authors have no conflict of interests to declare.

Funding Sources

No specific grant from any funding agency or the commercial or not-for-profit sector was received for this study.

Author Contributions

Y. Kunieda, C. Arakawa, T. Yamada, M. Suzuki, S. Koyama, Y. Kimura, T. Ichikawa, S. Shino, and M. Yamada contributed to the study concept and design, analysis and interpretation of data, and elaboration of this paper. R. Hirokawa contributed to the acquisition of clinical and imaging data. T. Matsuda participated in the acquisition and analysis of data. T. Takakura, T. Adachi, and H. Hoshino verified many aspects of this study and assisted in the preparation of this report. All of the authors approved the final version of this report.
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