scholarly journals Determinants of theory of mind performance in Alzheimer's disease: A data-mining study

Cortex ◽  
2017 ◽  
Vol 88 ◽  
pp. 8-18 ◽  
Author(s):  
Siddharth Ramanan ◽  
Leonardo Cruz de Souza ◽  
Noémie Moreau ◽  
Marie Sarazin ◽  
Antônio L. Teixeira ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
Theory Of Mind

Are Deficits in Social Cognition Linked to Autobiographical Memory in Patients with Alzheimer’s Disease?

2016 ◽  
Vol 27 (4) ◽  
pp. 257-264 ◽  
Author(s):  
Johannes H. Scheidemann ◽  
Franz Petermann ◽  
Marc Schipper
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Social Cognition ◽  
Theory Of Mind ◽  
Autobiographical Memory ◽  
Positive Relationship ◽  
Neuropsychological Test ◽  
Clinical Group ◽  
Neuropsychological Test Battery ◽  
Fluency Task

Abstract. We investigated theory of mind (ToM) deficits in Alzheimer‘s disease (AD) and its possible connection to autobiographical memory (ABM). Patients and matched controls were evaluated and compared using a video-based ToM test, an autobiographical fluency task, and a neuropsychological test battery. We found that ToM deficits were positively associated with semantic ABM in the clinical group, whereas a positive relationship appeared between ToM and episodic ABM in controls. We hypothesize that this reflects the course of the disease as well as that semantic ABM is used for ToM processing, being still accessible in AD. Furthermore, we assume that it is also less efficient, which in turn leads to a specific deficit profile of social cognition.

Empathy and Theory of Mind in Alzheimer’s Disease: A Meta-analysis

2020 ◽  
Vol 26 (10) ◽  
pp. 963-977
Author(s):  
Olivia P. Demichelis ◽  
Sarah P. Coundouris ◽  
Sarah A. Grainger ◽  
Julie D. Henry
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Theory Of Mind ◽  
Cognitive Processing ◽  
Cognitive Abilities ◽  
Social Cognitive ◽  
Meta Analysis ◽  
Cognitive Empathy ◽  
Analytic Review ◽  
Social Cognitive Processing

AbstractObjective:A large literature now shows that Alzheimer’s disease (AD) disrupts a number of social cognitive abilities, including social perceptual function and theory of mind (ToM). However, less well understood is how the specific subcomponents of ToM as well as both the broader and specific subcomponents of empathic processing are affected.Method:The current study provides the first meta-analytic review of AD that focuses on both empathy and ToM as broad constructs, as well as their overlapping (cognitive empathy and affective ToM) and distinct (affective empathy and cognitive ToM) subcomponents.Results:Aggregated across 31 studies, the results revealed that, relative to controls, AD is associated with large-sized deficits in both cognitive ToM (g = 1.09) and affective ToM/cognitive empathy (g = 0.76). However, no statistical differences were found between the AD participants and controls on affective empathic abilities (g = 0.36).Conclusions:These data point to a potentially important disconnect between core aspects of social cognitive processing in people with AD. The practical and theoretical implications of these findings are discussed.

An investigation of affective theory of mind ability and its relation to neuropsychological functions in Alzheimer's disease

2020 ◽  
Vol 14 (3) ◽  
pp. 399-415 ◽  
Author(s):  
Elif Yildirim ◽  
Ezgi Soncu Buyukiscan ◽  
Aslı Demirtas‐Tatlidede ◽  
Başar Bilgiç ◽  
Hakan Gurvit
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Theory Of Mind ◽  
Neuropsychological Functions

scholarly journals RGS2 expression predicts amyloid-β sensitivity, MCI and Alzheimer’s disease: genome-wide transcriptomic profiling and bioinformatics data mining

2016 ◽  
Vol 6 (10) ◽  
pp. e909-e909 ◽  
Author(s):  
A Hadar ◽  
E Milanesi ◽  
A Squassina ◽  
P Niola ◽  
C Chillotti ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
G Protein ◽  
Amyloid Β ◽  
Healthy Individuals ◽  
Transcriptomic Profiling ◽  
Expression Levels ◽  
Genome Wide ◽  
Lower Expression

Abstract Alzheimer's disease (AD) is the most frequent cause of dementia. Misfolded protein pathological hallmarks of AD are brain deposits of amyloid-β (Aβ) plaques and phosphorylated tau neurofibrillary tangles. However, doubts about the role of Aβ in AD pathology have been raised as Aβ is a common component of extracellular brain deposits found, also by in vivo imaging, in non-demented aged individuals. It has been suggested that some individuals are more prone to Aβ neurotoxicity and hence more likely to develop AD when aging brains start accumulating Aβ plaques. Here, we applied genome-wide transcriptomic profiling of lymphoblastoid cells lines (LCLs) from healthy individuals and AD patients for identifying genes that predict sensitivity to Aβ. Real-time PCR validation identified 3.78-fold lower expression of RGS2 (regulator of G-protein signaling 2; P=0.0085) in LCLs from healthy individuals exhibiting high vs low Aβ sensitivity. Furthermore, RGS2 showed 3.3-fold lower expression (P=0.0008) in AD LCLs compared with controls. Notably, RGS2 expression in AD LCLs correlated with the patients’ cognitive function. Lower RGS2 expression levels were also discovered in published expression data sets from postmortem AD brain tissues as well as in mild cognitive impairment and AD blood samples compared with controls. In conclusion, Aβ sensitivity phenotyping followed by transcriptomic profiling and published patient data mining identified reduced peripheral and brain expression levels of RGS2, a key regulator of G-protein-coupled receptor signaling and neuronal plasticity. RGS2 is suggested as a novel AD biomarker (alongside other genes) toward early AD detection and future disease modifying therapeutics.

scholarly journals A detailed investigation in determining Alzheimer’s disease and its risk factor using different classification techniques

2021 ◽  
Vol 12 (1) ◽  
pp. 374-377
Author(s):  
Mahendran Radha ◽  
Anitha M ◽  
Jeyabaskar Suganya
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
Genetic Disorders ◽  
Learning Approaches ◽  
Psychiatric Illnesses ◽  
Data Mining Approach ◽  
Diseased Person ◽  
Linear Svm

The prevalence of genetic disorders has recently crept surprisingly high. Neurodegenerative complications, specifically, pose physical and mental stress to parents and caretakers. These complications may be witnessed in the case of dementia. The general dementia type that accounted for between 60 to 80 per cent of psychiatric illnesses was Alzheimer's disease. At an earlier stage, illness detection serves as a critical task that helps the diseased person to enjoy a decent quality of life. It has become a much necessitated strategy towards relying on automated techniques like data mining approach for early diagnosis and assessment of risk factors concerned with Alzheimer’s. There has been an unprecedented growth of interest concerned with devising novelized approaches proposed in recent times for classifying the disease. However, there is still a grave need for developing an efficacious approach for better prognosis and classification. Data mining is carried out using different machine-learning approaches to assess the risk factors for Alzheimer's disease. Through the present research, and we compared numerous classification methods such as Decision Tree, Linear SVM, KNN, Logistic Regression, Radial SVM, and Random Forest, and finally reported the most outstanding approach in terms of its accuracy.

The relationship between theory of mind and cognition in Alzheimer’s disease: A systematic review

2020 ◽  
Vol 42 (3) ◽  
pp. 223-239
Author(s):  
Aline Tavares De Lucena ◽  
Rishi K. Bhalla ◽  
Tatiana Teresa Belfort Almeida Dos Santos ◽  
Marcia Cristina Nascimento Dourado
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Theory Of Mind ◽  
The Relationship

Theory of mind in Alzheimer’s disease and amnestic mild cognitive impairment: a meta-analysis

2020 ◽  
Vol 41 (5) ◽  
pp. 1027-1039 ◽  
Author(s):  
ZhongQuan Yi ◽  
PanWen Zhao ◽  
Hui Zhang ◽  
YuanYuan Shi ◽  
HaiChun Shi ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Theory Of Mind ◽  
Meta Analysis ◽  
Amnestic Mild Cognitive Impairment

scholarly journals Acupoint combinations used for treatment of Alzheimer's disease: A data mining analysis

2018 ◽  
Vol 38 (6) ◽  
pp. 943-952 ◽  
Author(s):  
Yu Chaochao ◽  
Wang Li ◽  
Kong Lihong ◽  
Shen Feng ◽  
Ma Chaoyang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
Data Mining Analysis

scholarly journals Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer’s disease: theoretical and practical implications

Brain ◽  
2002 ◽  
Vol 125 (4) ◽  
pp. 752-764 ◽  
Author(s):  
Carol Gregory ◽  
Sinclair Lough ◽  
Valerie Stone ◽  
Sharon Erzinclioglu ◽  
Louise Martin ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Theory Of Mind ◽  
Frontotemporal Dementia ◽  
Practical Implications
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