Behavioural Scoring Clausole campione

Behavioural Scoring. Video acquisitions were adjusted in terms of brightness, rotation and zooming and then used to perform offline behavioural scoring by means of the Behavioural Observation Research Interactive Software (BORIS), a free and open-source event-logging software (▇▇▇▇▇▇ and Gamba, 2016). We used a purposefully-defined ethogram which includes behaviours of our interests that could be observed in the CHR condition and/or in the NER condition (Table 2). Monkey’s behaviours were accurately operationally descripted and divided into state events or point events depending on their duration or temporal unfolding. Example of behaviours we considered as state events are tactile and visual stimulation in the CHR condition or rest and walk in the NER condition whereas behaviours we considered as point events were actions temporally more immediate like the contact between the hand or the mouth and a piece of food or an object in order to grasp it, eat it or drink it. We also distinguished actions performed with the controlateral and ispilateral hand in order to differentiate neurons with unilateral and bilateral receptive fields. Once the ethogram was defined, a Boris project was created and the videos were analysed, using frame by frame mode to achieve a precision of 20ms, by at least two independent observers. Inter-rater reliability was then calculated using ▇▇▇▇▇’▇ kappa statistic with a time unit of 1s and was considered acceptable when above 0.75 (▇▇▇▇▇, 1960). Finally, we generated an output for each observation that contained all the behaviours with their start and stop - for state events - or with the exact time in which they happened - for point events - that was then used for further Matlab data analysis.