scholarly journals Predicting and Characterizing Neurodegenerative Subtypes with Multimodal Neurocognitive Signatures of Social and Cognitive Processes

2021 ◽  
pp. 1-22
Author(s):  
Agustín Ibañez ◽  
Sol Fittipaldi ◽  
Catalina Trujillo ◽  
Tania Jaramillo ◽  
Alejandra Torres ◽  
...  
Keyword(s):  
Social Cognition ◽  
Gray Matter Volume ◽  
Functional Networks ◽  
Cognitive Screening ◽  
Multiple Group ◽  
Dimensional Classification ◽  
Brain Correlates ◽  
Recognition Theory ◽  
Patient Groups ◽  
The Brain

Background: Social cognition is critically compromised across neurodegenerative diseases, including the behavioral variant frontotemporal dementia (bvFTD), Alzheimer’s disease (AD), and Parkinson’s disease (PD). However, no previous study has used social cognition and other cognitive tasks to predict diagnoses of these conditions, let alone reporting the brain correlates of prediction outcomes. Objective: We performed a diagnostic classification analysis using social cognition, cognitive screening (CS), and executive function (EF) measures, and explored which anatomical and functional networks were associated with main predictors. Methods: Multiple group discriminant function analyses (MDAs) and ROC analyses of social cognition (facial emotional recognition, theory of mind), CS, and EF were implemented in 223 participants (bvFTD, AD, PD, controls). Gray matter volume and functional connectivity correlates of top discriminant scores were investigated. Results: Although all patient groups revealed deficits in social cognition, CS, and EF, our classification approach provided robust discriminatory characterizations. Regarding controls, probabilistic social cognition outcomes provided the best characterization for bvFTD (together with CS) and PD, but not AD (for which CS alone was the best predictor). Within patient groups, the best MDA probabilities scores yielded high classification rates for bvFTD versus PD (98.3% , social cognition), AD versus PD (98.6% , social cognition + CS), and bvFTD versus AD (71.7% , social cognition + CS). Top MDA scores were associated with specific patterns of atrophy and functional networks across neurodegenerative conditions. Conclusion: Standardized validated measures of social cognition, in combination with cognitive screening, can provide a dimensional classification with specific pathophysiological markers of neurodegeneration diagnoses.

An MEG Study of Silent Meaning

2007 ◽  
Vol 19 (11) ◽  
pp. 1905-1921 ◽  
Author(s):  
Liina Pylkkänen ◽  
Brian McElree
Keyword(s):  
Social Cognition ◽  
Theory Of Mind ◽  
Significant Progress ◽  
Semantic Composition ◽  
Anterior Midline ◽  
Sentence Level ◽  
Brain Correlates ◽  
Meaning Interpretation ◽  
Anomalous Condition ◽  
The Brain

Although research on the neural bases of language has made significant progress on how the brain accesses the meanings of words, our understanding of sentence-level semantic composition remains limited. We studied the magnetoencephalography (MEG) responses elicited by expressions whose meanings involved an element not expressed in the syntax, which enabled us to investigate the brain correlates of semantic composition without confounds from syntactic composition. Sentences such as the author began the book, which asserts that an activity was begun although no activity is mentioned in the syntax, were contrasted with control sentences such as the author wrote the book, which involved no implicit meaning. These conditions were further compared with a semantically anomalous condition (the author disgusted the book). MEG responses to the object noun showed that silent meaning and anomaly are associated with distinct effects, silent meaning, but not anomaly, eliciting increased amplitudes in the anterior midline field (AMF) at 350–450 msec. The AMF was generated in ventromedial prefrontal areas, usually implicated for social cognition and theory of mind. Our results raise the possibility that silent meaning interpretation may share mechanisms with these neighboring domains of cognition.

scholarly journals Creativity and the Social Brain

2018 ◽  
Author(s):  
Anna Abraham
Keyword(s):  
Social Cognition ◽  
Current Knowledge ◽  
Personal Relevance ◽  
Social Aspects ◽  
Social Brain ◽  
Creative Cognition ◽  
The Social ◽  
Brain Correlates ◽  
Processing Mechanisms ◽  
The Brain

The neuroscience of imagination has revealed extensive parallels between the brain correlates of creative cognition and those of social cognition. There is, however, scarcely any exchange of ideas between the different research communities that is aimed at understanding what such commonalities reveal. The evidence indicates that there are some fundamental similarities in very nature of the information processing mechanisms that underlie cognitive and social aspects of mental life that are customarily viewed to be quite distinct from one another. This chapter features reflections on these similarities by generating cross-connections between current knowledge on creative cognition and social cognition. Themes that are explored include candidate mechanisms of correspondences between creativity and social behaviour, such as the ‘intention to communicate’ (by means of expression), the ‘intention to understand’ (by means of inference and discovery), and the ‘personal relevance bias’ (by means of alertness to self-related salience and significance).

The Montreal Cognitive Assessment (MoCA) and Brain Structure

GeroPsych ◽  
2020 ◽  
Vol 33 (2) ◽  
pp. 101-114
Author(s):  
Gebhard Sammer ◽  
Eva Lenz
Keyword(s):  
Brain Structure ◽  
Gray Matter Volume ◽  
Cognitive Status ◽  
Cognitive Screening ◽  
High Performing ◽  
And Performance ◽  
Relationship Of ◽  
Main Effects ◽  
The Relationship ◽  
The Brain

Abstract. MoCA is a short cognitive screening tool. We examined the relationship of MoCA performance to white matter integrity, gray matter volume, and surface-based measurements at normal aging in a study in which older and younger cognitively unaffected subjects participated. The sample was split according to MoCA performance, and the data were analyzed using a general linear model (Age × MoCA). We found effects in the expected direction for all methods. The main effects on age and performance as well as interactions occurred for regions associated with aging, pathological and nonpathological. Older low-performing subjects showed structural deficits compared to older high-performing subjects. Therefore, the global index of cognitive status reflects relevant features of the brain structure.

Prediction

2017 ◽  
Author(s):  
Lasana T. Harris
Keyword(s):  
Social Cognition ◽  
Social Norms ◽  
Social Reward ◽  
Human Survival ◽  
The Third ◽  
Brain Correlates ◽  
And Behavior ◽  
Social Prediction ◽  
The Brain

The third chapter introduces prediction as a Bayesian process that ensures survival. It then focuses on social prediction—predicting other people’s behavior—exploring consistently low correlations between traits (a form of social cognition) and behavior. It then describes the brain correlates of prediction violation, social reward, and social punishment, before arguing that social cognition may not be necessary to predict other people’s behavior; instead people may rely on other heuristics such as social norms. Therefore, it discounts the importance of social cognition for this aspect of human survival.

Development of Reading Remediation for Dyslexic Individuals

2016 ◽  
Vol 224 (4) ◽  
pp. 240-246 ◽  
Author(s):  
Mélanie Bédard ◽  
Line Laplante ◽  
Julien Mercier
Keyword(s):  
20Th Century ◽  
Scientific Literature ◽  
Behavioral Data ◽  
Educational Neuroscience ◽  
Reading Remediation ◽  
Functional Brain ◽  
Neurophysiological Data ◽  
Brain Correlates ◽  
Research Questions ◽  
The Brain

Abstract. Dyslexia is a phenomenon for which the brain correlates have been studied since the beginning of the 20th century. Simultaneously, the field of education has also been studying dyslexia and its remediation, mainly through behavioral data. The last two decades have seen a growing interest in integrating neuroscience and education. This article provides a quick overview of pertinent scientific literature involving neurophysiological data on functional brain differences in dyslexia and discusses their very limited influence on the development of reading remediation for dyslexic individuals. Nevertheless, it appears that if certain conditions are met – related to the key elements of educational neuroscience and to the nature of the research questions – conceivable benefits can be expected from the integration of neurophysiological data with educational research. When neurophysiological data can be employed to overcome the limits of using behavioral data alone, researchers can both unravel phenomenon otherwise impossible to document and raise new questions.

Functional networks of the brain: from connectivity restoration to dynamic integration

2020 ◽  
Author(s):  
Aleksandr E. Hramov ◽  
Nikita S. Frolov ◽  
Vladimir A. Maksimenko ◽  
Semen A. Kurkin ◽  
Viktor B. Kazantsev ◽  
...  
Keyword(s):  
Functional Networks ◽  
Connectivity Restoration ◽  
Dynamic Integration ◽  
The Brain

Functional networks of the brain: from connectivity restoration to dynamic integration

2020 ◽  
Author(s):  
Aleksandr E. Hramov ◽  
Nikita S. Frolov ◽  
Vladimir A. Maksimenko ◽  
Semen A. Kurkin ◽  
Viktor B. Kazantsev ◽  
...  
Keyword(s):  
Functional Networks ◽  
Connectivity Restoration ◽  
Dynamic Integration ◽  
The Brain

Magnetoencephalography and the Cortical Dynamics of Language Processing

2019 ◽  
pp. 114-153
Author(s):  
Riitta Salmelin ◽  
Jan Kujala ◽  
Mia Liljeström
Keyword(s):  
Language Processing ◽  
Language Disorders ◽  
Scientific Data ◽  
Neural Processing ◽  
Powerful Method ◽  
Cortical Dynamics ◽  
Brain Correlates ◽  
Adults And Children ◽  
The Brain ◽  
Selection Of

When seeking to uncover the brain correlates of language processing, timing and location are of the essence. Magnetoencephalography (MEG) offers them both, with the highest sensitivity to cortical activity. MEG has shown its worth in revealing cortical dynamics of reading, speech perception, and speech production in adults and children, in unimpaired language processing as well as developmental and acquired language disorders. The MEG signals, once recorded, provide an extensive selection of measures for examination of neural processing. Like all other neuroimaging tools, MEG has its own strengths and limitations of which the user should be aware in order to make the best possible use of this powerful method and to generate meaningful and reliable scientific data. This chapter reviews MEG methodology and how MEG has been used to study the cortical dynamics of language.

scholarly journals Voxel-based correlation of 18F-THK5351 accumulation and gray matter volume in the brain of cognitively normal older adults

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yoko Shigemoto ◽  
Daichi Sone ◽  
Miho Ota ◽  
Norihide Maikusa ◽  
Masayo Ogawa ◽  
...  
Keyword(s):  
Older Adults ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Cognitively Normal ◽  
Matter Volume ◽  
The Brain
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