Cognitive function: holarchy or holacracy?

被引:17
作者
Birle, Codruta [1 ,2 ]
Slavoaca, Dana [1 ,2 ]
Balea, Maria [1 ,2 ]
Popa, Livia Livint [1 ,2 ]
Muresanu, Ioana [1 ,2 ]
Stefanescu, Emanuel [2 ]
Vacaras, Vitalie [1 ,2 ]
Dina, Constantin [3 ]
Strilciuc, Stefan [1 ,2 ]
Popescu, Bogdan Ovidiu [4 ]
Muresanu, Dafin F. [1 ,2 ]
机构
[1] Iuliu Hatieganu Univ Med & Pharm, Dept Neurosci, 37 Mircea Eliade St, Cluj Napoca 400486, Romania
[2] RoNeuro Inst Neurol Res & Diagnost, Cluj Napoca, Romania
[3] Carol Davila Univ Med & Pharm, Dept Clin Neurosci, Bucharest, Romania
[4] Ovidius Univ, Fac Med, Dept Radiol, Constanta, Romania
关键词
Cognitive function; Networks; Open complex systems; Anticorrelated mechanisms; DEFAULT-MODE; SPONTANEOUS FLUCTUATIONS; NETWORK CONNECTIVITY; CINGULATE CORTEX; SALIENCE NETWORK; BOLD SIGNAL; BRAIN; INTEGRATION; GLUTAMATE; DORSAL;
D O I
10.1007/s10072-020-04737-3
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Cognition is the most complex function of the brain. When exploring the inner workings of cognitive processes, it is crucial to understand the complexity of the brain's dynamics. This paper aims to describe the integrated framework of the cognitive function, seen as the result of organization and interactions between several systems and subsystems. We briefly describe several organizational concepts, spanning from the reductionist hierarchical approach, up to the more dynamic theory of open complex systems. The homeostatic regulation of the mechanisms responsible for cognitive processes is showcased as a dynamic interplay between several anticorrelated mechanisms, which can be found at every level of the brain's organization, from molecular and cellular level to large-scale networks (e.g., excitation-inhibition, long-term plasticity-long-term depression, synchronization-desynchronization, segregation-integration, order-chaos). We support the hypothesis that cognitive function is the consequence of multiple network interactions, integrating intricate relationships between several systems, in addition to neural circuits.
引用
收藏
页码:89 / 99
页数:11
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