Distinct and Common Neural Coding of Semantic and Non-semantic Control Demands
| Autor: | Matthew A. Lambon Ralph, Katya Krieger-Redwood, Rocco Chiou, Elizabeth Jefferies, Andre Gouws, Li Zheng, Jonathan Smallwood, Xiuyi Wang, Dominika Varga, Zhiyao Gao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Support Vector Machine Computer science Cognitive Neuroscience Neurosciences. Biological psychiatry. Neuropsychiatry Article 050105 experimental psychology Association Executive Function Young Adult 03 medical and health sciences 0302 clinical medicine Humans 0501 psychology and cognitive sciences Control (linguistics) 030304 developmental biology Cerebral Cortex Brain Mapping 0303 health sciences Working memory 05 social sciences Univariate Contrast (statistics) Cognition Verbal Learning Executive functions Magnetic Resonance Imaging Social relation Semantics Memory Short-Term Pattern Recognition Visual Reading Neurology Female Nerve Net Neural coding 030217 neurology & neurosurgery RC321-571 Cognitive psychology |
| Zdroj: | NeuroImage, Vol 236, Iss, Pp 118230-(2021) Neuroimage |
| ISSN: | 1053-8119 |
| Popis: | The flexible retrieval of knowledge is critical in everyday situations involving problem solving, reasoning and social interaction. Current theories emphasise the importance of a left-lateralised semantic control network (SCN) in supporting flexible semantic behaviour, while a bilateral multiple-demand network (MDN) is implicated in executive functions across domains. No study, however, has examined whether semantic and non-semantic demands are reflected in a common neural code within regions specifically implicated in semantic control. Using functional MRI and univariate parametric modulation analysis as well as multivariate pattern analysis, we found that semantic and non-semantic demands gave rise to both similar and distinct neural responses across control-related networks. Though activity patterns in SCN and MDN could decode the difficulty of both semantic and verbal working memory decisions, there was no shared common neural coding of cognitive demands in SCN regions. In contrast, regions in MDN showed common patterns across manipulations of semantic and working memory control demands, with successful cross-classification of difficulty across tasks. Therefore, SCN and MDN can be dissociated according to the information they maintain about cognitive demands. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect