Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis
Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of gradual and continuous changes in the brain blood oxygenated level dependent (BOLD) signal. Departing from that approach, recent...
Guardado en:
| Autor principal: | |
|---|---|
| Publicado: |
2012
|
| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3FEB_n_p_Tagliazucchi http://hdl.handle.net/20.500.12110/paper_1664042X_v3FEB_n_p_Tagliazucchi |
| Aporte de: |
| id |
paper:paper_1664042X_v3FEB_n_p_Tagliazucchi |
|---|---|
| record_format |
dspace |
| spelling |
paper:paper_1664042X_v3FEB_n_p_Tagliazucchi2023-06-08T16:25:55Z Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis Balenzuela, Pablo Brain dynamics Criticality Fmri Point processes Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of gradual and continuous changes in the brain blood oxygenated level dependent (BOLD) signal. Departing from that approach, recent work has shown that equivalent results can be obtained by inspecting only the relatively large amplitude BOLD signal peaks, suggesting that relevant information can be condensed in discrete events. This idea is further explored here to demonstrate how brain dynamics at resting state can be captured just by the timing and location of such events, i.e., in terms of a spatiotemporal point process. The method allows, for the first time, to define a theoretical framework in terms of an order and control parameter derived from fMRI data, where the dynamical regime can be interpreted as one corresponding to a system close to the critical point of a second order phase transition. The analysis demonstrates that the resting brain spends most of the time near the critical point of such transition and exhibits avalanches of activity ruled by the same dynamical and statistical properties described previously for neuronal events at smaller scales. Given the demonstrated functional relevance of the resting state brain dynamics, its representation as a discrete process might facilitate large-scale analysis of brain function both in health and disease. © 2012 Tagliazucchi, Balen-zuela, Fraiman and Chialvo. Fil:Balenzuela, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3FEB_n_p_Tagliazucchi http://hdl.handle.net/20.500.12110/paper_1664042X_v3FEB_n_p_Tagliazucchi |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Brain dynamics Criticality Fmri Point processes |
| spellingShingle |
Brain dynamics Criticality Fmri Point processes Balenzuela, Pablo Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| topic_facet |
Brain dynamics Criticality Fmri Point processes |
| description |
Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of gradual and continuous changes in the brain blood oxygenated level dependent (BOLD) signal. Departing from that approach, recent work has shown that equivalent results can be obtained by inspecting only the relatively large amplitude BOLD signal peaks, suggesting that relevant information can be condensed in discrete events. This idea is further explored here to demonstrate how brain dynamics at resting state can be captured just by the timing and location of such events, i.e., in terms of a spatiotemporal point process. The method allows, for the first time, to define a theoretical framework in terms of an order and control parameter derived from fMRI data, where the dynamical regime can be interpreted as one corresponding to a system close to the critical point of a second order phase transition. The analysis demonstrates that the resting brain spends most of the time near the critical point of such transition and exhibits avalanches of activity ruled by the same dynamical and statistical properties described previously for neuronal events at smaller scales. Given the demonstrated functional relevance of the resting state brain dynamics, its representation as a discrete process might facilitate large-scale analysis of brain function both in health and disease. © 2012 Tagliazucchi, Balen-zuela, Fraiman and Chialvo. |
| author |
Balenzuela, Pablo |
| author_facet |
Balenzuela, Pablo |
| author_sort |
Balenzuela, Pablo |
| title |
Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| title_short |
Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| title_full |
Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| title_fullStr |
Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| title_full_unstemmed |
Criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| title_sort |
criticality in large-scale brain fmri dynamics unveiled by a novel point process analysis |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3FEB_n_p_Tagliazucchi http://hdl.handle.net/20.500.12110/paper_1664042X_v3FEB_n_p_Tagliazucchi |
| work_keys_str_mv |
AT balenzuelapablo criticalityinlargescalebrainfmridynamicsunveiledbyanovelpointprocessanalysis |
| _version_ |
1768542382484094976 |