Depression is a very common symptom in people with mild cognitive impairment (MCI), a preclinical stage of Alzheimer's disease (AD), and in those with clinically evident AD. Moreover, MCI individuals with depression show a higher conversion rate to clinical AD than those without depression. This study aimed to elucidate the functional neuroanatomical substrate of depression in MCI.
Thirty-six patients were recruited from a University Hospital-based cohort; 18 of these subjects had MCI with depression (MCI_D); the remaining 18 subjects were age- and gender-matched, and had MCI with no depression (MCI_ND). For comparison, 16 cognitively normal (CN) elderly individuals were also included. All subjects underwent Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) scanning and regional cerebral glucose metabolism was compared among the three groups by a voxel-based method. The relationship between severity of depression, as measured by Hamilton Rating Scale for Depression (HRSD) scores, and glucose metabolism was also investigated.
MCI_D showed lower glucose metabolism in the right superior frontal gyrus than MCI_ND. There was a significant negative correlation between HRSD score and glucose metabolism at the same frontal region for overall MCI subjects. When compared with CN, both MCI_D and MCI_ND showed decreased glucose metabolism in the precuneus, while MCI_D had, in addition, reduced metabolism in other diffuse brain regions.
Given previous observations on depression in AD, our results suggest that functional disruption of the frontal region, known to be associated with primary or other secondary depression, underlies depression in preclinical AD as well as clinically evident AD.
Depression is a very common and significant psychiatric complication that affects 30 to 50% of Alzheimer's disease (AD) patients.
A couple of functional neuroimaging studies revealed that functional impairment of frontal cortical regions was associated with depression in AD.
The aim of this study was to elucidate the functional neuroanatomical substrate of depression in MCI. We first compared regional cerebral glucose metabolism between MCI with depression (MCI_D) and MCI with no depression (MCI_ND) subjects, considering depression as a syndrome. We further investigated the linear relationship between depression severity and regional glucose metabolism in all MCI patients.
Thirty-six MCI patients including 18 MCI_D and 18 MCI_ND cases matched for age and gender were recruited from a cohort regularly followed at the Dementia & Age-Associated Cognitive Decline Clinic at Seoul National University Hospital. MCI was diagnosed according to current consensus criteria for amnestic MCI.
The following exclusion criteria were applied to all subjects: any present serious medical or neurological disorder that could affect mental function; any major psychiatric disorders except depression, evidence of focal brain lesions on magnetic resonance imaging (MRI) including lacunes and white matter hyperintensity lesions of grade 2 or more on the Fazeka scale,
All subjects received a standardized clinical assessment and MRI according to the protocol of the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Assessment Packet.
The CERAD neuropsychological battery includes eight neuropsychological tests: Verbal Fluency; 15-item Boston Naming Test; Mini-Mental State Examination (MMSE); World List Memory; Word List Recall; Word List Recognition; Constructional Praxis (CP); Constructional Recall, and was administered by experienced clinical psychologists. Depression severity was assessed using the 17-item Hamilton Rating Scale for Depression (HRSD)
PET studies were performed using an ECAT EXACT 47 scanner (Siemens-CTI, Knoxville, TN) with an intrinsic resolution of a 5.2 mm full width at half maximum and 47 contiguous transverse plane images with a 3.4 mm thickness for a longitudinal field of view of 16.2 cm. Before administering FDG, transmission scanning was performed, using 3 germanium-68 rod sources to correct attenuation. Static emission scans began 30 minutes after the intravenous injection of 370 MBq (10 mCi) FDG and were continued for 30 minutes. All FDG-PET scans were performed in a dimly lit room with minimal auditory stimulation during PET scanning, with the subject in the supine position with their eyes closed to minimize confounding effects due to activity. Transaxial images were reconstructed using a filtered back-projection algorithm employing a Shepp-Logan filter with a cutoff frequency of 0.3 cycles/pixel and 128×128×47 matrices of size of 2.1×2.1×3.4 mm.
Imaging data were analyzed using Statistical Parametric Mapping (SPM) 2 (Institute of Neurology, University College of London, UK) implemented in the Matlab (Mathworks Inc, USA). Before statistical analysis, all images were spatially normalized to the Montreal Neurological Institute (MNI, McGill University, Montreal, CA, USA) space to correct intersubject anatomical variabilities. An affine transformation was performed to determine the 12 optimal parameters essential for registering the brain on the MNI template. Subtle differences between transformed images and the template were removed by a nonlinear registration method using the weighted sum of predefined smooth basis functions used in a discrete cosine transformation. Using an in-house Matlab-based program, the glucose metabolism value of each voxel was normalized for pontine value, which was extracted for each scan, because glucose metabolism in the pons tends to be relatively preserved in AD.
Differences in glucose metabolic values between MCI_D, MCI_ND and CN were estimated on a voxel-by-voxel basis using the t-test. The resulting set of t values constituted the SPM(t) map. The SPM(t) was then transformed into a normal distribution to give a SPM(Z).
To further characterize regional glucose metabolic alterations associated with depression, we extracted normalized metabolism values at the local maximum of voxel cluster showing a significant difference between MCI_D and MCI_ND in voxel-by-voxel analysis using the voxel of interest module of SPM. The extracted metabolism values of the region were compared between MCI_D, MCI_ND and CN using analysis of variance (ANOVA) and post hoc contrasts with Tukey's method using Statistical Package for the Social Sciences (SPSS, SPSS Inc., Chicago, IL, USA). A partial correlation between depression severity, as measured by HRSD, and the extracted metabolism values was also assessed, controlling for age as a covariate for all the MCI subjects, using SPSS. In these analyses of extracted values, a p value of <0.05 was applied as the threshold of statistical significance.
The demographic and clinical data from MCI_D, MCI_ND and CN subjects were compared by ANOVA and post hoc contrasts with Tukey's method for continuous variables and χ2 tests for categorical variables using SPSS.
Demographic and clinical characteristics for subjects are presented in
Voxel-wise comparison revealed that MCI_D had significantly lower glucose metabolism in the right superior frontal region [Brodmann's area (BA) 6] than MCI_ND (
To characterize further glucose metabolic alteration associated with depression on the right superior frontal region, we extracted normalized metabolism values at the local maximum of voxel cluster showing a significant difference between MCI_D and MCI_ND groups using the voxel of interest module of SPM. There was a significant between-group difference in the extracted regional metabolism value between MCI_D, MCI_ND, and CN groups (F=7.87, df=2; p<0.005). As shown in
Through a voxel-based approach, we found that MCI_D had significantly lower glucose metabolism in the right superior frontal region than MCI_ND. Furthermore, depression severity as measured by HRSD showed a significant negative correlation with glucose metabolism in the same brain region. To the best of our knowledge, this is the first study that reveals the functional neuro-anatomical substrate associated with depression in MCI.
The finding that reduced frontal glucose metabolism is related to depression in MCI is generally in line with the results of previous neuro-imaging studies on secondary depression, as well as primary depression, although the exact locations relating to depression within the frontal cortex vary among the studies.
Although BA 6 has long been recognized as a premotor or high-order motor area, this does not necessarily indicate that motor system deficit has a close relationship with depression in MCI or early AD process.
While MCI_D showed superior frontal hypometabolism compared with MCI_ND, voxel-based analysis did not reveal any metabolic differences in the same region between MCI_D and CN or between MCI_ND and CN. The lack of a significant finding in this regard is probably related to the threshold for statistical significance used in voxel-based analysis. Our study applied a relatively strict threshold (p<0.001) to reduce the possibility of false positive results (alpha error) due to multiple comparisons. However, this increases the possibility of false negative results (beta error). When we re-analyzed with a less strict statistical threshold (p<0.005, by ANOVA with Tukey's post hoc comparison) focusing on the right superior frontal region, MCI_D patients showed significantly lower metabolism than either CN or MCI_ND individuals.
Both MCI_D and MCI_ND showed lower glucose metabolism in the precuneus than CN. This finding corresponds with the results of earlier studies, which reported glucose hypometabolism in the medial parietal region including the precuneus and posterior cingulate cortex in MCI and very early AD.
There are some possible limitations to the present study. First, the relatively small sample size and potential selection bias related to subject recruitment from a tertiary hospital cohort mean caution is required about generalizing from the results. In particular, low statistical power due to small sample size may make it difficult to detect other regional brain substrates less strongly associated with depression in MCI than the right superior frontal region. Second, we did not apply partial volume effect (PVE) correction to the PET data and, therefore, brain hypometabolism in MCI might be overestimated, compared with CN. However, given that overall brain atrophy is less prominent in MCI, and that PVE due to brain atrophy does not alter the general pattern of differences of metabolism in AD, especially in mild cases,
In conclusion, our finding of frontal hypometabolism associated with depression in MCI corresponds with previous reports on depression in AD and suggests that the functional disruption of the frontal region is associated with depression in preclinical AD, as well as in clinically evident AD. When combined with previous observations on primary and secondary depression, these results suggest that frontal dysfunction is probably associated with depression, regardless of the etiology.
This study was supported grants from the Korea Healthcare Technology R & D Project, Ministry of Health, Welfare & Family Affairs, Republic of Korea (Grant No. A070001 & A092145).
Statistical parametric maps showing decreased glucose metabolism in mild cognitive impairment (MCI) with depression compared with MCI without depression at p < 0.001 (uncorrected).
Group comparisons of glucose metabolism in the right superior frontal region. Error bars indicate SDs. *p<0.005 by Tukey's post hoc group comparison. RSFG: right superior frontal gyrus, MCI_D: mild cognitive impairment with depression, MCI_ND: mild cognitive impairment with no depression, CN: cognitively normal.
Illustration of the significant correlation obtained between depression severity (Hamilton Rating Scale for Depression scores) and glucose metabolism in the right superior frontal gyrus in mild cognitive impairment subjects overall. HRSD: Hamilton Rating Scale for Depression.
Demographic and clinical characteristics of subjects
Data are presented as mean±SD. All neuropsychological test scores are age, education and gender-specific norm corrected t-tests. Group comparisons are by analysis of variance. Post hoc comparisons of significant group differences. *MCI_D vs. MCI_ND, †MCI_D vs. CN, ‡MCI_ND vs. CN. HRSD: Hamilton Rating Scale for Depression, MCI_D: mild cognitive impairment with depression, MCI_ND: mild cognitive impairment with no depression, CN: cognitively normal
Brain areas showing significant hypometabolism in group comparisons
Coordinates (x, y and z) refer to a standard stereotactical space.