1
|
Choi EJ, Kim BJ, Kim HJ, Kwon M, Han NE, Lee SM, Jo S, Lee S, Lee JH. False Memory and Alzheimer's Disease Pathology in Patients with Amnestic Mild Cognitive Impairment: A Study with Amyloid PET. Dement Geriatr Cogn Dis Extra 2021; 11:172-180. [PMID: 34249074 PMCID: PMC8255744 DOI: 10.1159/000516230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 03/30/2021] [Indexed: 11/19/2022] Open
Abstract
Introduction False memory, observed as intrusion errors or false positives (FPs), is prevalent in patients with Alzheimer's disease, but has yet to be thoroughly investigated in patients with amnestic mild cognitive impairment (a-MCI) with Alzheimer's disease pathology (ADP). We analyzed false versus veridical memory in individuals with a-MCI and measured the utility of false memory for ADP discrimination. Methods Patients with a-MCI who received neuropsychological testing and amyloid PET were included. Patients were categorized into "with" and "without ADP" groups according to PET results. Memory tests assessed veridical and false memory, and the verity of patient responses was analyzed. A logistic regression model was used to evaluate false memory efficiency in discriminating ADP, and the sensitivity and specificity at the optimal level were estimated using the receiver-operating characteristic curve. Results Thirty-seven ADP and 46 non-ADP patients were enrolled. The ADP group made more FPs in the recognition tests, and their response verity was significantly lower in every delayed memory test. No group difference, however, was observed in the veridical memory. The logistic regression analysis demonstrated that as the FPs increased, the risk of ADP increased 1.31 and 1.36 times in the verbal and visual recognition tests, respectively. The discriminatory accuracy of the FPs was estimated "low" to "moderate" in the visual and verbal recognition, respectively, with an optimal cutoff above 2.5. Conclusion Increased false memory was the only feature to discriminate ADP from non-ADP in individuals with a-MCI. Further studies regarding false memory and its mechanism are warranted.
Collapse
Affiliation(s)
- Eun-Ji Choi
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Hyung-Ji Kim
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Miseon Kwon
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Noh Eul Han
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Sun-Mi Lee
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Sungyang Jo
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Sunju Lee
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| |
Collapse
|
2
|
Lee SA, Kim SJ, Han NE, Lee SM, No YJ. Gender differences in factors associated with resilience for health-related quality of life in persons with epilepsy. Epilepsy Behav 2021; 115:107710. [PMID: 33423015 DOI: 10.1016/j.yebeh.2020.107710] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 12/03/2020] [Accepted: 12/12/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE We determined whether resilience factors such as self-efficacy, stress coping styles, and social support were differentially associated with health-related quality of life (HRQoL) in men and women with epilepsy after controlling for depression, anxiety, and daily-life stress. METHODS This was a cross-sectional study of 129 adults with epilepsy. The Quality of Life in Epilepsy Inventory-31 (QOLIE-31), Epilepsy Self-Efficacy Scale, Way of Stress Coping Checklist, Social Support Scale, Beck Depression Inventory (BDI), Beck Anxiety Inventory, and Daily Hassles Scale were used. Stepwise linear regression analyses were performed. RESULTS Except for medication effects, there were no gender differences in the QOLIE-31 and its subscales. The medication effects score was higher in men than in women after controlling for BDI scores. The BDI scores were independently associated with the QOLIE-31 score in men and women. Epilepsy self-efficacy was associated with the QOLIE-31 in men, whereas social support was associated with the QOLIE-31 in women. Coping strategies were associated with the QOLIE-31 in neither men nor women. Seizure frequency, daily-life stress, and anxiety were also negatively associated with the QOLIE-31, but only in men. The coefficients of determination were 0.637 and 0.587 in the men's and women's models, respectively. CONCLUSIONS The influence of self-efficacy and social support on HRQoL differed between men and women with epilepsy even after controlling for psychological distress. These findings could contribute to the development of successful gender-specific psychosocial interventions to improve HRQoL in men and women with epilepsy.
Collapse
Affiliation(s)
- Sang-Ahm Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - Soo Jeong Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Noh Eul Han
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sun-Mi Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young-Joo No
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
3
|
Kim JE, Park SH, Hong YJ, Hwang J, Han NE, Lee SM, Roh JH, Kim JS, Lee JH. Qualitative Comparison of Semantic Memory Impairment in Patients with Amnestic Mild Cognitive Impairment Based on β-Amyloid Status. J Clin Neurol 2018; 15:27-37. [PMID: 30375759 PMCID: PMC6325377 DOI: 10.3988/jcn.2019.15.1.27] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 07/17/2018] [Accepted: 07/19/2018] [Indexed: 12/21/2022] Open
Abstract
Background and Purpose Semantic memory remains more stable than episodic memory across the lifespan, which makes it potentially useful as a marker for distinguishing pathological aging from normal senescence. To obtain a better understanding of the transitional stage evolving into Alzheimer's dementia (AD), we focused on the amnestic mild cognitive impairment (aMCI) stage stratified based on β-amyloid (Aβ) pathology. Methods We analyzed the raw data from Korean version of the Boston Naming Test (K-BNT) and the Controlled Oral Word Association Test (COWAT). For K-BNT, the frequencies of six error types and accuracy rates were evaluated. For a qualitative assessment of the COWAT, we computed the number of switching, number of clusters, and mean cluster size. Results The data from 217 participants were analyzed (53 normal controls, 66 with Aβ− aMCI, 56 with Aβ+ aMCI, and 42 disease controls). There were fewer semantically related errors and more semantically unrelated errors on the K-BNT in Aβ+ aMCI than in Aβ− aMCI, without a gross difference in the z score. We also found that Aβ+ aMCI showed a more prominent deficit in the number of clusters in the semantic fluency task [especially for animal names (living items)] than Aβ− aMCI. Conclusions In spite of similar clinical manifestations, Aβ+ aMCI was more similar to AD than Aβ− aMCI in terms of semantic memory disruption. Semantic memory may serve as an early indicator of brain Aβ pathology. Therefore, semantic memory dysfunction deserves more consideration in clinical practice. Longitudinal research with the follow-up data is needed.
Collapse
Affiliation(s)
- Ji Eun Kim
- Department of Neurology, University of Ulsan College of Medicine, Gangneung Asan Hospital, Gangneung, Korea
| | - So Hee Park
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Yun Jeong Hong
- Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Jihye Hwang
- Department of Neurology, Keimyung University College of Medicine, Dongsan Medical Center, Daegu, Korea
| | - Noh Eul Han
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sun Mi Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jee Hoon Roh
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jae Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| |
Collapse
|
4
|
Kim GH, Jeon S, Im K, Kwon H, Lee BH, Kim GY, Jeong H, Han NE, Seo SW, Cho H, Noh Y, Park SE, Kim H, Hwang JW, Yoon CW, Kim HJ, Ye BS, Chin JH, Kim JH, Suh MK, Lee JM, Kim ST, Choi MT, Kim MS, Heilman KM, Jeong JH, Na DL. Structural brain changes after traditional and robot-assisted multi-domain cognitive training in community-dwelling healthy elderly. PLoS One 2015; 10:e0123251. [PMID: 25898367 PMCID: PMC4405358 DOI: 10.1371/journal.pone.0123251] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Accepted: 02/06/2015] [Indexed: 12/18/2022] Open
Abstract
The purpose of this study was to investigate if multi-domain cognitive training, especially robot-assisted training, alters cortical thickness in the brains of elderly participants. A controlled trial was conducted with 85 volunteers without cognitive impairment who were 60 years old or older. Participants were first randomized into two groups. One group consisted of 48 participants who would receive cognitive training and 37 who would not receive training. The cognitive training group was randomly divided into two groups, 24 who received traditional cognitive training and 24 who received robot-assisted cognitive training. The training for both groups consisted of daily 90-min-session, five days a week for a total of 12 weeks. The primary outcome was the changes in cortical thickness. When compared to the control group, both groups who underwent cognitive training demonstrated attenuation of age related cortical thinning in the frontotemporal association cortices. When the robot and the traditional interventions were directly compared, the robot group showed less cortical thinning in the anterior cingulate cortices. Our results suggest that cognitive training can mitigate age-associated structural brain changes in the elderly.
Collapse
Affiliation(s)
- Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seun Jeon
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Kiho Im
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachustetts, United States of America
| | - Hunki Kwon
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Byung Hwa Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ga Young Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hana Jeong
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Noh Eul Han
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Young Noh
- Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea
| | - Sang Eon Park
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Korea
| | - Hojeong Kim
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Korea
| | - Jung Won Hwang
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Korea
| | - Cindy W Yoon
- Department of Neurology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Ju Hee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachustetts, United States of America
| | - Jung-Hyun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Sung Tae Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mun-Taek Choi
- School of Mechanical Engineering, Sungkyunkwan University, Seoul, Korea
| | - Mun Sang Kim
- Center for Intelligent Robotics at Korea Institute Science and Technology, Seoul, Korea
| | - Kenneth M Heilman
- Department of Neurology, University of Florida College of Medicine, and the Veterans Affairs Medical Center, Gainesville, Florida, United States of America
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| |
Collapse
|