Neural dynamics of visual and semantic object processing

Author(s):  
Alex Clarke
2017 ◽  
Vol 17 (10) ◽  
pp. 1347
Author(s):  
Tim Lauer ◽  
Verena Willenbockel ◽  
Melissa Vo

Author(s):  
Raksha Anand ◽  
John Hart ◽  
Patricia S. Moore ◽  
Sandra B. Chapman

Abstract Purpose: Frontotemporal lobar degeneration (FTLD) encompasses a group of neurodegenerative disorders characterized by gradual and progressive decline in behavior and/or language. Identifying the subtypes of FTLD can be challenging with traditional assessment tools. Growing empirical evidence suggests that language measures might be useful in differentiating FTLD subtypes. Method: In this paper, we examined the performance of five individuals with FTLD (two with frontotemporal dementia, two with semantic dementia, and one with progressive nonfluent aphasia) and 10 cognitively normal older adults on measures of semantic binding (Semantic Object Retrieval Test and semantic problem solving) and abstracted meaning (generation of interpretive statement and proverb interpretation). Results and Conclusion: A differential profile of impairment was observed in the three FTLD subtypes on these four measures. Further examination of these measures in larger groups will establish their clinical utility in differentiating the FTLD subtypes.


2020 ◽  
Author(s):  
Amandine Lassalle ◽  
Michael X Cohen ◽  
Laura Dekkers ◽  
Elizabeth Milne ◽  
Rasa Gulbinaite ◽  
...  

Background: People with an Autism Spectrum Condition diagnosis (ASD) are hypothesized to show atypical neural dynamics, reflecting differences in neural structure and function. However, previous results regarding neural dynamics in autistic individuals have not converged on a single pattern of differences. It is possible that the differences are cognitive-set-specific, and we therefore measured EEG in autistic individuals and matched controls during three different cognitive states: resting, visual perception, and cognitive control.Methods: Young adults with and without an ASD (N=17 in each group) matched on age (range 20 to 30 years), sex, and estimated Intelligence Quotient (IQ) were recruited. We measured their behavior and their EEG during rest, a task requiring low-level visual perception of gratings of varying spatial frequency, and the “Simon task” to elicit activity in the executive control network. We computed EEG power and Inter-Site Phase Clustering (ISPC; a measure of connectivity) in various frequency bands.Results: During rest, there were no ASD vs. controls differences in EEG power, suggesting typical oscillation power at baseline. During visual processing, without pre-baseline normalization, we found decreased broadband EEG power in ASD vs. controls, but this was not the case during the cognitive control task. Furthermore, the behavioral results of the cognitive control task suggest that autistic adults were better able to ignore irrelevant stimuli.Conclusions: Together, our results defy a simple explanation of overall differences between ASD and controls, and instead suggest a more nuanced pattern of altered neural dynamics that depend on which neural networks are engaged.


2017 ◽  
Vol 31 (3) ◽  
pp. 407-418 ◽  
Author(s):  
Gema Díaz-Blancat ◽  
Juan García-Prieto ◽  
Fernando Maestú ◽  
Francisco Barceló

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Arindam Singha ◽  
Anjan Kumar Ray ◽  
Arun Baran Samaddar
Keyword(s):  

A correction to this paper has been published: https://doi.org/10.1007/s42452-021-04606-4


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