Asymmetric high-order anatomical brain connectivity sculpts effective connectivity

被引:8
|
作者
Sokolov, Arseny A. [1 ,2 ,3 ,4 ]
Zeidman, Peter [1 ]
Razi, Adeel [1 ,5 ,6 ,7 ]
Erb, Michael [8 ]
Ryvlin, Philippe [3 ]
Pavlova, Marina A. [9 ]
Friston, Karl J. [1 ]
机构
[1] UCL, Inst Neurol, Wellcome Ctr Human Neuroimaging, London, England
[2] Univ Bern, Univ Neurorehabil, Univ Hosp, Inselspital,Dept Neurol, Bern, Switzerland
[3] CHU Vaudois, Dept Neurosci Clin, Serv Neurol & Neuroscape NeuroTech Platform, Lausanne, Switzerland
[4] Univ Calif San Francisco, Dept Neurol, Weill Inst Neurosci, Neuroscape Ctr, San Francisco, CA 94143 USA
[5] Monash Univ, Monash Inst Cognit & Clin Neurosci, Clayton, Vic, Australia
[6] Monash Univ, Monash Biomed Imaging, Clayton, Vic, Australia
[7] NED Univ Engn & Technol, Dept Elect Engn, Karachi, Pakistan
[8] Univ Tubingen, Med Sch, Dept Biomed Magnet Resonance, Tubingen, Germany
[9] Univ Tubingen, Med Sch, Dept Psychiat & Psychotherapy, Tubingen, Germany
基金
英国惠康基金;
关键词
Effective connectivity; Structural connectivity; Network diffusion; Graph Laplacian; STATE FUNCTIONAL CONNECTIVITY; STRUCTURAL CONNECTIVITY; NETWORK STRUCTURE; CEREBRAL-CORTEX; TRACTOGRAPHY; DYNAMICS; MODELS; CEREBELLUM; ROBUST; DCM;
D O I
10.1162/netn_a_00150
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Bridging the gap between symmetric, direct white matter brain connectivity and neural dynamics that are often asymmetric and polysynaptic may offer insights into brain architecture, but this remains an unresolved challenge in neuroscience. Here, we used the graph Laplacian matrix to simulate symmetric and asymmetric high-order diffusion processes akin to particles spreading through white matter pathways. The simulated indirect structural connectivity outperformed direct as well as absent anatomical information in sculpting effective connectivity, a measure of causal and directed brain dynamics. Crucially, an asymmetric diffusion process determined by the sensitivity of the network nodes to their afferents best predicted effective connectivity. The outcome is consistent with brain regions adapting to maintain their sensitivity to inputs within a dynamic range. Asymmetric network communication models offer a promising perspective for understanding the relationship between structural and functional brain connectomes, both in normalcy and neuropsychiatric conditions. Author Summary Measures of white matter connectivity can usefully inform models of causal and directed brain communication (i.e., effective connectivity). However, due to the inherent differences in biophysical correlates, recording techniques and analytic approaches, the relationship between anatomical and effective brain connectivity is complex and not fully understood. In this study, we use simulation of heat diffusion constrained by the anatomical connectivity of the network to model polysynaptic (high-order) anatomical connectivity. The outcomes afford more useful constraints on effective connectivity than conventional, typically monosynaptic white matter connectivity. Furthermore, asymmetric network diffusion best predicts effective connectivity. In conclusion, the data provide insights into how anatomical connectomes give rise to asymmetric neuronal message passing and brain communication.
引用
收藏
页码:871 / 890
页数:20
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