Capturing the non-stationarity of whole-brain dynamics underlying human brain states

被引：12
|
作者：
Galadi, J. A. [1 ,2 ]
Pereira, S. Silva [2 ]
Perl, Y. Sanz [3 ,4 ,5 ]
Kringelbach, M. L. [6 ,7 ,8 ]
Gayte, I. [1 ]
Laufs, H. [9 ]
Tagliazucchi, E. [3 ,4 ]
Langa, J. A.
Deco, G. [2 ,10 ]
机构：
[1] Univ Seville, Dept Ecuaciones Diferenciales & Analisis Numer, Seville, Spain
[2] Univ Pompeu Fabra, Ctr Brain & Cognit, Barcelona, Spain
[3] Univ Buenos Aires, Buenos Aires Phys Inst, Buenos Aires, DF, Argentina
[4] Univ Buenos Aires, Dept Phys, Buenos Aires, DF, Argentina
[5] Favaloro Univ, INECO Fdn, Inst Cognit & Translat Neurosci, Lab Expt Psychol & Neurosci, Buenos Aires, DF, Argentina
[6] Univ Oxford, Dept Psychiat, Oxford, England
[7] Aarhus Univ, Ctr Music Brain, Dept Clin Med, DK-8000 Aarhus C, Denmark
[8] Univ Minho, Sch Med, Life & Hlth Sci Res Inst ICVS, Minho, Portugal
[9] Univ Kiel, Dept Neurol, Kiel, Germany
[10] Univ Pompeu Fabra, Inst Catalana Recerca Estudis & Avancats ICREA, Barcelona, Spain
来源：
NEUROIMAGE | 2021年 / 244卷
基金：
欧洲研究理事会; 新加坡国家研究基金会;
关键词：
Brain dynamics; Attractors; Energy levels; Sleep; Consciousness; Model transform; CORTICAL ACTIVITY; SLEEP; SINGLE; MODEL; MRI;
D O I：
10.1016/j.neuroimage.2021.118551
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.
引用
收藏
页数：17
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