Dataset for article "Goal-directed shaping of cortical waves"

Institution: Université Paris-Saclay, CNRS, Institut des Neurosciences Paris-Saclay (NeuroPSI), 91400,Saclay, France. Isabelle Ferezou and Luc Estebanez are co-last authors. Correspondence: [e-mail], [e-mail] BioRxiv DOI: https://doi.org/10.1101/2024.09.10.612344 Abstract At the surface of the cerebral cortex, the dynamics of brain activity at the mesoscopic scale are characterized by waves of synchronized neuronal activity. These waves have been shown to impact the processing of sensory information, but can they be actively shaped by the subject in a goal directed manner? To address this question, we designed a fast widefield optical brain-machine interface for mice that can detect and reinforce individual traveling waves, which follow a specific displacement at the surface of the somatosensory cortex. Trained mice learned to generate these Conditioned Waves, which became progressively more stereotyped. The Conditioned Waves resulted from a reshaping of the cortical activity associated with limb movements, which included a sharp pre-movement cortical suppression that emerged with learning. Our work demonstrates that traveling cortical waves of neuronal activity can be subject to operant control. It provides evidence for the plasticity and functional relevance of large-scale cortical dynamics, and establishes a new paradigm for manipulating mesoscale brain activity. Dataset Wave dataset The dataset consists of a set of .mat files acquired on multiple consecutive training days, in 16 mice. To access the data in the .mat files, Matlab should include in its path the class definitions found in the Class_description.zip file. For each session contained in the .mat file names with unique identifier YEAR-MONTH-DAY-HOUR_MINUTE_SECOND of the corresponding experiment, there are several fields, and in particular including: Waves: the listing of all waves that took place at the surface of the cortex during the recording. RewardableWaves: waves that filled the requirement for reward. the wave structure includes the time of occurence, path at the surface of the cortex, and strength of the wave. Reference: a construct that includes a reference blue and green image, the mask that delineates the cortical window, and the ROIs that are used in the operant conditionning, enabling to identify the condition that is trained on a given session. Mesoscale calcium imaging dataset In addition to this systematic dataset, the full calcium image time series acquired on the first and best performance session in Mouse 12 have been also provided. The cortical wave trajectories are derived from the analysis of these raw images.