کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6025157 1580889 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effects of lesions on synchrony and metastability in cortical networks
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Effects of lesions on synchrony and metastability in cortical networks
چکیده انگلیسی


- An oscillator model is coupled according to a human cortical structural connectome.
- Model dynamics are calibrated to match empirical fMRI data.
- Nodal properties of the connectome are quantified using graph theory.
- Changes in synchrony and metastability following nodal lesions are quantified.
- Lesions reveal relationships between connectome structure and modelled dynamics.

At the macroscopic scale, the human brain can be described as a complex network of white matter tracts integrating grey matter assemblies - the human connectome. The structure of the connectome, which is often described using graph theoretic approaches, can be used to model macroscopic brain function at low computational cost. Here, we use the Kuramoto model of coupled oscillators with time-delays, calibrated with respect to empirical functional MRI data, to study the relation between the structure of the connectome and two aspects of functional brain dynamics - synchrony, a measure of general coherence, and metastability, a measure of dynamical flexibility. Specifically, we investigate the relationship between the local structure of the connectome, quantified using graph theory, and the synchrony and metastability of the model's dynamics. By removing individual nodes and all of their connections from the model, we study the effect of lesions on both global and local dynamics. Of the nine nodal graph-theoretical properties tested, two were able to predict effects of node lesion on the global dynamics. The removal of nodes with high eigenvector centrality leads to decreases in global synchrony and increases in global metastability, as does the removal of hub nodes joining topologically segregated network modules. At the level of local dynamics in the neighbourhood of the lesioned node, structural properties of the lesioned nodes hold more predictive power, as five nodal graph theoretical measures are related to changes in local dynamics following node lesions. We discuss these results in the context of empirical studies of stroke and functional brain dynamics.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 118, September 2015, Pages 456-467
نویسندگان
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