Psychosocial Factors Influencing Quality of Life Among Medical Students

Objective@#This study investigated the influence of psychosocial factors on medical students’ quality of life (QOL). @*Methods@#A total of 408 medical students participated in this study. We collected data on participants’ sociodemographic details, symptoms of depression and Internet addiction, self-esteem, social support, and QOL. QOL was assessed using the World Health Organization Quality of Life-Abbreviated form, which has four domains (physical health, psychological health, social relationships, and environment). A stepwise multiple linear regression model was constructed to identify factors’ independent impact on QOL. @*Results@#Higher levels of depression and Internet addiction were associated with lower scores in all domains of QOL, whereas higher levels of self-esteem and social support were associated with higher scores. Being in third-year versus first-year was associated with higher scores in the physical health and environment domains. Living alone or in dormitories, low or middle socioeconomic status, and insufficient or moderate pocket money were associated with lower scores in the environment domain. Additionally, female students displayed significantly lower scores for physical health, psychological health, and environment than male students, but not for social relationships. There were significant differences in certain domains of QOL due to sociodemographic factors. @*Conclusion@#This study demonstrates the psychosocial factors influencing medical students’ QOL. Educational strategies focusing on strengthening self-esteem and social support as well as preventing depression and Internet addiction may contribute to improving medical students’ QOL.

Hazardous Drinking and Its Association With Smoking and Ego-Resiliency in Medical Students / 생물치료정신의학

Objectives@#The aim of this study was to investigate the prevalence of hazardous drinking (HD) and its association with sociodemographic factors, smoking, social anxiety, self-esteem, and ego-resiliency in medical students. @*Methods@#A total of 408 medical students were included in this study. Data were collected by self-administered questionnaire, and HD was assessed by Alcohol Use Disorder Identification Test (AUDIT). The HD and non-HD group were defined using the AUDIT score 10 for male and 6 for female as a cut-off, respectively. Multiple logistic regression analyses were carried out to examine the impact of sociodemographic factors, smoking, social anxiety, self-esteem, and ego-resiliency on HD. @*Results@#A total of 192 participants (47.1%) were identified as having HD. Frequency of smoking and the severity of social anxiety were significantly higher in HD group than non-HD group. Meanwhile, the levels of self-esteem and egoresiliency were significantly lower than HD group than non-HD group. In multiple logistic regression, smoking was associated with a higher risk of HD, whereas ego-resiliency and age were associated with a lower risk of HD. Compared to the high level of subjective socioeconomic status, both middle and low level were associated with a lower risk of HD. @*Conclusions@#HD among medical students was quite common and associated with smoking, ego-resiliency, age, and level of subjective socioeconomic status. Strong efforts to improve smoking cessation and ego-resiliency, as well as education for HD in medical schools, is needed to reduce the harmful effects of alcohol.

Successful Early Lamotrigine and Aripiprazole Augmentation of Clomipramine in Severe Obsessive-compulsive Disorder

Lamotrigine and aripiprazole have shown efficacy as augmentation agents of serotonin reuptake inhibitors for treatment-resistant obsessive-compulsive disorder (OCD). To date, the efficacy of lamotrigine/aripiprazole augmentation has not been reported in OCD treatment. Herein, we report the case of a 37-year-old male with severe OCD and comorbid depression whose symptoms markedly improved after low-dose lamotrigine/aripiprazole augmentation to clomipramine.Our report suggests that early glutamatergic/antipsychotic augmentation contributes to rapid remission of OCD symptoms.

Association Between Bullying Behavior and Suicidal Ideation Among Middle School Adolescents * / 생물치료정신의학

Objectives@#：This study aimed to investigate the prevalence of bullying behavior and its association with suicidal ideation among middle school students. @*Methods@#：This was a cross sectional study of a sample including 781 second grade middle school students(438 males and 343 females) in Gwang-ju metropolitan city. Information on bullying involvement, suicidal ideation and depressive/anxiety symptoms were collected using a self-administered questionnaire. Subjects were classified into subgroups of bully, victim, bully or victim, bully-victim, and witnessing. The data were analyzed using binary logistic regression analyses, adjusted for covariates. @*Results@#：The prevalence of bullying victimization, bullying perpetration, bullying witnessing and suicidal ideation were 26.5%, 24.5%, 21.6% and 26%, respectively. Suicidal ideation was positively correlated with bullying victimization, bullying perpetration, bullying witnessing. Using binary logistic regression analyses, the odds ratio of bully-victim group compared to non bullying involvement was 2.41, the highest among all groups. @*Conclusions@#：Our findings indicate that school bullying, victim, and witnessing are associated with suicidal ideation, especially in bully and victim group. In addition, it is essential to develop prevention strategies and interventions for adolescents involved in any bullying involvement.

A Literature Review on the Efficacy and Related Neural Effects of Pharmacological and Psychosocial Treatments in Individuals With Internet Gaming Disorder

Objective@#Internet gaming disorder (IGD) has attracted considerable attention as a serious mental and public health issue worldwide. Currently, there are no established treatment guidelines for IGD. Herein, we review the latest findings on the efficacy and related neural effects of pharmacological and psychosocial treatments for individuals with IGD. @*Methods@#A database search of relevant studies published between 2007 and 2020 was conducted using PubMed and Google Scholar. Twenty-seven studies were reviewed for current evidence related to the efficacy and neural effects of pharmacological and psychosocial IGD treatments. @*Results@#Pharmacological studies suggest that bupropion may play a significant role in IGD. Additionally, nuclear imaging studies on IGD have demonstrated functional impairment of the dopamine system, providing a neurobiological basis for the efficacy of dopamineenhancing drugs. Among the various psychosocial interventions, current evidence suggests that cognitive behavioral therapy may be an effective intervention for IGD. Cognitive behavioral therapy and bupropion were found to influence resting-state functional connectivity within the cortico-subcortical circuit and default mode network, suggesting a possible neural mechanism. Innovative approaches, including virtual reality treatment, residential camps, voluntary abstinence, and transcranial direct current stimulation, have shown promising results. However, methodological limitations, such as the absence of proper controls, small sample sizes, short duration, inconsistency of inclusion criteria across studies, and self-report measures of outcome, hamper conclusions regarding the efficacy of treatments. @*Conclusion@#Ongoing basic research and clinical trials overcoming these limitations could add to the existing knowledge on IGD and contribute to the development of evidence-based treatments.

Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students

Objective@#Excessive internet use has been associated with various psychiatric symptoms and psychosocial factors. This study aimed to investigate the prevalence of internet addiction (IA) and its associations with clinical (depression/social anxiety) and psychosocial (self-esteem/perceived social support) factors in medical students. @*Methods@#In total, 408 medical students at one university in Korea were included in this study. IA symptoms were assessed with Young’s Internet Addiction Test, and scores of 50 or higher were considered to indicate IA. Participants were asked to complete the Beck Depression Inventory, Social Phobia Inventory, Rosenberg Self-Esteem Scale, and Duke-University of North Carolina Functional Social Support Questionnaire. A logistic regression model was constructed to examine the impact of clinical and psychosocial factors on IA. @*Results@#Forty-seven participants (11.5%) were identified as having IA. Self-esteem was associated with a lower risk of IA, whereas depression and social anxiety were associated with a higher risk of IA. Depression, social anxiety, low self-esteem, and low perceived social support were found to be significant correlates of IA. Young’s Internet Addiction Test score positively correlated with Beck Depression Inventory and Social Phobia Inventory scores, but negatively correlated with Rosenberg Self-Esteem Scale and Duke-University of North Carolina Functional Social Support Questionnaire scores. Furthermore, the prevalence of IA was highest in first-year medical students. @*Conclusion@#This study revealed the possible risk and protective factors of IA. Our findings indicate that strengthening self-esteem and reducing depression and social anxiety may contribute to the prevention and management of IA in medical students.

Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students

Objective@#Excessive internet use has been associated with various psychiatric symptoms and psychosocial factors. This study aimed to investigate the prevalence of internet addiction (IA) and its associations with clinical (depression/social anxiety) and psychosocial (self-esteem/perceived social support) factors in medical students. @*Methods@#In total, 408 medical students at one university in Korea were included in this study. IA symptoms were assessed with Young’s Internet Addiction Test, and scores of 50 or higher were considered to indicate IA. Participants were asked to complete the Beck Depression Inventory, Social Phobia Inventory, Rosenberg Self-Esteem Scale, and Duke-University of North Carolina Functional Social Support Questionnaire. A logistic regression model was constructed to examine the impact of clinical and psychosocial factors on IA. @*Results@#Forty-seven participants (11.5%) were identified as having IA. Self-esteem was associated with a lower risk of IA, whereas depression and social anxiety were associated with a higher risk of IA. Depression, social anxiety, low self-esteem, and low perceived social support were found to be significant correlates of IA. Young’s Internet Addiction Test score positively correlated with Beck Depression Inventory and Social Phobia Inventory scores, but negatively correlated with Rosenberg Self-Esteem Scale and Duke-University of North Carolina Functional Social Support Questionnaire scores. Furthermore, the prevalence of IA was highest in first-year medical students. @*Conclusion@#This study revealed the possible risk and protective factors of IA. Our findings indicate that strengthening self-esteem and reducing depression and social anxiety may contribute to the prevention and management of IA in medical students.

Factors Influencing on Internet Game Addiction among Adolescents* / 생물치료정신의학

Objectives@#：This study aimed to investigate the prevalence of internet game addiction and its association with environmental characteristics such as parent supervision, gaming hour (time spent on gaming) and attention-deficit hyperactivity disorder (ADHD) symptoms among middle school students. @*Methods@#：A total of 596 (416 males and 180 females) first grade middle-school students in Gwang-ju metropolitan city were included in this study. Subjects were asked to complete a self-reported questionnaire, including measures of the Internet Gaming Use-Elicited Symptom Screen (IGUESS), Attention deficit hyperactivity disorder (ADHD) symptom, environmental factor such as parent supervision, and game related factor like game hours. Internet Game addiction and non-addiction group were defined using IGUESS score of 10 as a cut-off. The data were analyzed using hierarchical regression analyses. @*Results@#：Internet Game addiction group was fifty-two subjects (8.7%). Male students were significantly higher than female students (OR 25.01). IGUESS score was statistically negatively correlated with parent attachment and parent supervision, while IGUESS score was positively correlated with time spent on gaming per day, the longest time spent on gaming per day and violent game and ADHD score. Among variables, IGUESS score showed the highest correlation with the longest time spent on gaming per day (r=0.373, p<0.01). Using hierarchical regression analyses, the longest time spent on gaming per day was also the highest predicting factor affecting internet game addiction among variables. @*Conclusion@#：Our findings indicate that parent supervision, parent attachment and game related characteristics such as gaming per day, the longest time spent on gaming per day and violent game and ADHD were associated with internet game addiction.

Distinct Neural Correlates of Executive Function by Amyloid Positivity and Associations with Clinical Progression in Mild Cognitive Impairment

PURPOSE: This study aimed to identify the neural basis of executive function (EF) in amnestic mild cognitive impairment (aMCI) according to beta-amyloid (Aβ) positivity. Furthermore, we explored if the identified brain areas could serve as predictors for clinical progression. MATERIALS AND METHODS: We included individuals with aMCI using data from [¹⁸F]-florbetapir-positron emission tomography (PET), fluorodeoxyglucose-PET, and EF scores, as well as follow-up clinical severity scores at 1 and 5 years from baseline from the Alzheimer's Disease Neuroimaging Initiative database. The correlations between EF score and regional cerebral glucose metabolism (rCMglc) were analyzed separately for aMCI with low Aβ burden (aMCI Aβ−, n=230) and aMCI with high Aβ burden (aMCI Aβ+, n=268). Multiple linear regression analysis was conducted to investigate the associations between rCMglc and clinical progression. RESULTS: Longitudinal courses differed between aMCI Aβ− and aMCI Aβ+ groups. On average, aMCI Aβ− subjects maintained their level of clinical severity, whereas aMCI Aβ+ subjects showed progression. EF impairment in aMCI Aβ− was related to the anterior cingulate cortex (ACC), whereas that in aMCI Aβ+ was related to Alzheimer's Disease-vulnerable brain regions. ACC and the posterior cingulate cortex were associated with clinical progression in aMCI Aβ− and aMCI Aβ+, respectively. CONCLUSION: Our findings suggest that although MCI subjects showed similar behavioral phenotypes at the time of diagnosis, EF and further progression were associated with different brain regions according to Aβ burden. Clarification of the etiologies and nature of EF impairment in aMCI are critical for disease prognosis and management.

Normative Data for the Logical Memory Subtest of the Wechsler Memory Scale-IV in Middle-Aged and Elderly Korean People

OBJECTIVE: The purpose of this study is to identify the demographic variables that are affecting performances on the Logical Memory (LM) subtest included in the Korean version of the Wechsler Memory Scale (WMS)-IV and to provide normative data on the LM subtest for the middle-age and elderly Korean people.METHODS: The participants were 435 non-demented adults aging from 50 to 90 and with the educational level ranging from 0 to 21 years.RESULTS: Age and education were found to be significantly associated with performance on the LM subtest, while gender effect was not statistically significant. Therefore, we stratified the norm blocks by age and education. Age was divided into three groups: 50–59, 60–74, and 75–90 years. Education was stratified into three groups: 0–8 years, 9–12 years, and 13 years or more.CONCLUSION: The normative data provided in the current study are expected to be useful in clinical and research settings to detect or define subtle changes in episodic memory in Korean adults and elderly, and can also be used for cross-cultural comparison of verbal episodic memory performance among elderly populations using different languages.

Pre-Mild Cognitive Impairment: Can Visual Memory Predict Who Rapidly Convert to Mild Cognitive Impairment?

OBJECTIVE: Little is known about the natural course of pre-mild cognitive impairment (pre-MCI) and predictors to MCI. We followed-up individuals with pre-MCI and cognitively normal (CN) elders to identify neuropsychological predictors for rapid conversion to MCI. METHODS: Seventy-seven individuals with pre-MCI and 180 CN elders were recruited from the pool of individuals registered at the National Research Center for Dementia in Gwangju, Korea. We followed-up with them after a mean of 14±2.29 months. All participants underwent comprehensive clinical and neuropsychological assessment. Logistic regression analysis examined the ability of neuropsychological tests to predict conversions to MCI. RESULTS: Of 257 participants, 142 (55.3%) were eligible for the follow-up study (102 CN, 40 pre-MCI). Logistic regression revealed that spatial delayed recall significantly predicted the conversion from pre-MCI to MCI. In CN, copy for a complex figure significantly predicted the conversion to pre-MCI or MCI. CONCLUSION: Our findings indicated that spatial delayed recall was associated with rapid conversion from pre-MCI to MCI. Spatial organization and planning, measured by complex figure reproduction, were associated with rapid conversion from CN to pre-MCI or MCI. Our study suggests that inclusion of visuospatial reproduction and memory using a complex figure further facilitates early detection of MCI.

Neuropsychological Assessment of Dementia and Cognitive Disorders / 신경정신의학

Neuropsychological assessment is concerned with the behavioral expression of brain function through a series of cognitive testing tools. These results provide the objective identification of cognitive deficits, and play a key role in the detection of dementia and related cognitive disorders. New diagnostic guidelines for Alzheimer's disease (AD) and AD biomarker models suggest that cognitive declines are evidence of advanced neurodegenerative disease. Accordingly, the traditional contribution of neuropsychological assessment in early detection and diagnosis has been brought into question. In this review, the utility of neuropsychological assessment concerning dementia and cognitive disorders has been revisited. Neuropsychological assessment still plays a role in differential diagnosis as well as diagnosis. It is also useful to document cognitive changes along the dementia trajectory and to predict progression. Neuropsychological performance can estimate functional status and predict functional changes in everyday life. Identification of cognitive strengths and weaknesses can assist in intervention planning. However, the utility of neuropsychological assessment is not guaranteed if the neuropsychological tests have insufficient reliability, validity, and normative information. Commonly used cognitive screening tests and neuropsychological test batteries were examined. Lastly, several special considerations in the assessment of older adults were discussed.

Clinical Dementia Rating Orientation Score as an Excellent Predictor of the Progression to Alzheimer's Disease in Mild Cognitive Impairment

OBJECTIVE: This study aimed to examine the usefulness of each subscale score of the Clinical Dementia Rating (CDR) for predicting Alzheimer's disease (AD) dementia progression in amnestic mild cognitive impairment (MCI) elderly subjects. METHODS: Fifty-nine elderly MCI individuals were recruited from a university dementia and memory disorder clinic. Standardized clinical and neuropsychological tests were performed both at baseline and at the time of 2 years follow-up. Logistic regression analyses were conducted to examine the ability of various clinical measures or their combinations to predict progression to AD dementia in MCI individuals. RESULTS: MCIp individuals showed significantly higher CDR Orientation subscale and CDR sum-of-boxes (SOB) score than MCInp ones, while there were no significant differences in other CDR subscale scores between the two. MCIp individuals also showed marginally higher MMSE scores than MCInp ones. A series of logistic regression analyses demonstrated that the model including CDR Orientation subscale had better AD dementia prediction accuracy than either the model with either MMSE or CDR-SOB. CONCLUSION: Our findings suggest that CDR Orientation subscale score, a simple and easily available clinical measure, could provide very useful information to predict AD dementia progression in amnestic MCI individuals in real clinical settings.

Structural MRI and Amyloid PET Imaging for Prediction of Conversion to Alzheimer's Disease in Patients with Mild Cognitive Impairment: A Meta-Analysis

OBJECTIVE: The aim of this study was to explore the prognostic values of biomarkers of neurodegeneration as measured by magnetic resonance imaging (MRI) and amyloid burden as measured by amyloid positron emission tomography (PET) in predicting conversion to Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI). METHODS: PubMed and EMBASE databases were searched for structural MRI or amyloid PET imaging studies published between January 2000 and July 2014 that reported conversion to AD in patients with MCI. Means and standard deviations or individual numbers of biomarkers with positive or negative status at baseline and corresponding numbers of patients who had progressed to AD at follow-up were retrieved from each study. The effect size of each biomarker was expressed as Hedges's g. RESULTS: Twenty-four MRI studies and 8 amyloid PET imaging studies were retrieved. 674 of the 1741 participants (39%) developed AD. The effect size for predicting conversion to AD was 0.770 [95% confidence interval (CI) 0.607–0.934] for across MRI and 1.316 (95% CI 0.920–1.412) for amyloid PET imaging (p<0.001). The effect size was 1.256 (95% CI 0.902–1.609) for entorhinal cortex volume from MRI. CONCLUSION: Our study suggests that volumetric MRI measurement may be useful for the early detection of AD.

Independent and Interactive Influences of the APOE Genotype and Beta-Amyloid Burden on Cognitive Function in Mild Cognitive Impairment

This study aimed to investigate the independent and interactive influences of apolipoprotein E (APOE) epsilon4 and beta-amyloid (Abeta) on multiple cognitive domains in a large group of cognitively normal (CN) individuals and patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Participants were included if clinical and cognitive assessments, amyloid imaging, and APOE genotype were all available from the Alzheimer's Disease Neuroimaging Initiative database (CN = 324, MCI = 502, AD = 182). Individuals with one or two copies of epsilon4 were designated as APOE epsilon4 carriers (epsilon4+); individuals with no epsilon4 were designated as APOE epsilon4 non-carriers (epsilon4-). Based on mean florbetapir standard uptake value ratios, participants were classified as Abeta burden-positive (Abeta+) or Abeta burden-negative (Abeta-). In MCI, APOE epsilon4 effects were predominantly observed on frontal executive function, with epsilon4+ participants exhibiting poorer performances; Abeta positivity had no influence on this effect. Abeta effects were observed on global cognition, memory, and visuospatial ability, with Abeta+ participants exhibiting poorer performances. Measures of frontal executive function were not influenced by Abeta. Interactive effects of APOE epsilon4+ and Abeta were observed on global cognition and verbal recognition memory. Abeta, not APOE epsilon4+, influenced clinical severity and functional status. The influences of APOE epsilon4+ and Abeta on cognitive function were minimal in CN and AD. In conclusion, we provide further evidence of both independent and interactive influences of APOE epsilon4+ and Abeta on cognitive function in MCI, with APOE epsilon4+ and Abeta showing dissociable effects on executive and non-executive functions, respectively.

Comparison of Regional Gray Matter Atrophy, White Matter Alteration, and Glucose Metabolism as a Predictor of the Conversion to Alzheimer's Disease in Mild Cognitive Impairment

We compared the predictive ability of the various neuroimaging tools and determined the most cost-effective, non-invasive Alzheimer's disease (AD) prediction model in mild cognitive impairment (MCI) individuals. Thirty-two MCI subjects were evaluated at baseline with [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET), MRI, diffusion tensor imaging (DTI), and neuropsychological tests, and then followed up for 2 yr. After a follow up period, 12 MCI subjects converted to AD (MCIc) and 20 did not (MCInc). Of the voxel-based statistical comparisons of baseline neuroimaging data, the MCIc showed reduced cerebral glucose metabolism (CMgl) in the temporo-parietal, posterior cingulate, precuneus, and frontal regions, and gray matter (GM) density in multiple cortical areas including the frontal, temporal and parietal regions compared to the MCInc, whereas regional fractional anisotropy derived from DTI were not significantly different between the two groups. The MCIc also had lower Mini-Mental State Examination (MMSE) score than the MCInc. Through a series of model selection steps, the MMSE combined with CMgl model was selected as a final model (classification accuracy 93.8%). In conclusion, the combination of MMSE with regional CMgl measurement based on FDG-PET is probably the most efficient, non-invasive method to predict AD in MCI individuals after a two-year follow-up period.

A Normative Study of the Digit Span in an Educationally Diverse Elderly Population

OBJECTIVE: The purpose of this study was to explore the effect of demographic variables on Digit Span test (DS) performance in an educationally diverse elderly population and to provide normative information. METHODS: The DS was administered to 784 community-dwelling volunteers aged 60-90 years with an educational history of from zero to 25 years of full-time education. People with serious neurological, medical and psychiatric disorders (including dementia) were excluded. RESULTS: Age, education and gender were found to be significantly associated with performance on the DS. Based on the results obtained, DS norms were stratified by age (2 strata), education (3 strata), and gender (2 strata). CONCLUSION: Our results on DS performance suggest that both attention and working memory are influenced by age, education and gender. The present study provides reasonably comprehensive normative information on the DS for an educationally diverse elderly population.

Improvement of Screening Accuracy of Mini-Mental State Examination for Mild Cognitive Impairment and Non-Alzheimer's Disease Dementia by Supplementation of Verbal Fluency Performance

OBJECTIVE: This study aimed to investigate whether the supplementation of Verbal Fluency: Animal category test (VF) performance can improve the screening ability of Mini-Mental State Examination (MMSE) for mild cognitive impairment (MCI), dementia and their major subtypes. METHODS: Six hundred fifty-five cognitively normal (CN), 366 MCI [282 amnestic MCI (aMCI); 84 non-amnestic MCI (naMCI)] and 494 dementia [346 Alzheimer's disease (AD); and 148 non-Alzheimer's disease dementia (NAD)] individuals living in the community were included (all aged 50 years and older) in the study. RESULTS: The VF-supplemented MMSE (MMSE+VF) score had a significantly better screening ability for MCI, dementia and overall cognitive impairment (MCI plus dementia) than the MMSE raw score alone. MMSE+VF showed a significantly better ability than MMSE for both MCI subtypes, i.e., aMCI and naMCI. In the case of dementia subtypes, MMSE+VF was better than the MMSE alone for NAD screening, but not for AD screening. CONCLUSION: The results support the usefulness of VF-supplementation to improve the screening performance of MMSE for MCI and NAD.

Improvement of Dementia Screening Accuracy of Mini-Mental State Examination by Education-Adjustment and Supplementation of Frontal Assessment Battery Performance

This study aimed to investigate whether the demographic variable-adjustment and supplementation of Frontal Assessment Battery (FAB) score can improve the screening ability of Mini-Mental State Examination (MMSE) for dementia and its subtypes. Five hundred forty-one non-demented comparison (NC) and 474 dementia (320 Alzheimer's disease [AD]; 139 non-Alzheimer's disease dementia [NAD]; and 15 mixed AD-NAD dementia) individuals living in the community were included. Education-adjusted MMSE (MMSE-edu) score showed significantly better screening accuracy for overall dementia, AD, and NAD than MMSE raw score. FAB-supplemented MMSE (MMSE-FAB) score had significantly better screening ability for NAD, but not for overall dementia and AD, than MMSE raw score alone. Additional supplementation of FAB to MMSE-edu further increased the ability for overall dementia or NAD screening, but not for AD screening. Further education adjustment of MMSE-FAB also improved its ability for overall dementia, AD, and NAD screening. These results strongly support the usefulness of education-adjustment and supplementation of frontal function assessment to improve screening performance of MMSE for dementia and its subtypes, NAD in particular.

Frontal Dysfunction Underlies Depression in Mild Cognitive Impairment: A FDG-PET Study

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.