Resumen

HERNANDEZ CACERES, José Luis  y  IGLESIAS FUSTER, Jorge. Recurrent Quantification Analysis Based Study of Wide-Field Calcium Imaging Data in Relation to Brain’s Wake/Sleep Condition. RCIM [online]. 2023, vol.15, n.2  Epub 01-Dic-2023. ISSN 1684-1859.

Wide-Field Calcium Images (WFCI) directly reflect neuronal excitation, but their poor frame rate could be a drawback for time series analysis. This work was aimed at exploring the diagnostic capability retained by a time series obtained from calcium imaging data. To that purpose, we analyzed publicly available data from 2.88 hour continuous recordings of calcium images obtained from seven mice at different wake/sleep stages. Data were obtained from the Physionet portal and were submitted to Recurrence Quantification Analysis (RQA). The association between retrosplenial and parietal areas was also assessed. Nonlinear RQA analysis allowed to identify the right retrosplenial and parietal areas as particularly sensitive to changes in sleep walking condition. Specifically, our results suggested that the RQA feature lmean decreases in non-REM sleep_1 stage as compared to waking stage. Sleep (both sleep_1 stage and REM) apparently elicits an increase in the association between retrosplenial and parietal areas. Overall, these results suggest that RQA and association analysis are appropriate to assess modifications associated to changes in brain condition, in spite of the low sampling rate of WFCI signals.

Palabras clave : recurrence quantification analysis; wide-field calcium images; time series analysis; nonlinear analysis.

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