RESUMO
Statistical power in cognitive neuroimaging experiments is often very low. Low sample size can reduce the likelihood of detecting real effects (false negatives) and increase the risk of detecting non-existing effects by chance (false positives). Here, we document our experience of leveraging a relatively unexplored method of collecting a large sample size for simple electroencephalography (EEG) studies: by recording EEG in the community during public engagement and outreach events. We collected data from 346 participants (189 females, age range 6-76 years) over 6 days, totalling 29 hours, at local science festivals. Alpha activity (6-15 Hz) was filtered from 30 seconds of signal, recorded from a single electrode placed between the occipital midline (Oz) and inion (Iz) while the participants rested with their eyes closed. A total of 289 good-quality datasets were obtained. Using this community-based approach, we were able to replicate controlled, lab-based findings: individual alpha frequency (IAF) increased during childhood, reaching a peak frequency of 10.28 Hz at 28.1 years old, and slowed again in middle and older age. Total alpha power decreased linearly, but the aperiodic-adjusted alpha power did not change over the lifespan. Aperiodic slopes and intercepts were highest in the youngest participants. There were no associations between these EEG indexes and self-reported fatigue, measured by the Multidimensional Fatigue Inventory. Finally, we present a set of important considerations for researchers who wish to collect EEG data within public engagement and outreach environments.
RESUMO
Variations between distinct natural markings of freckled hawkfish (Paracirrhites forsteri) could allow in situ identification of individuals from underwater photography. Receiver operating characteristic analysis was used to assess the ability of the Interactive Individual Identification System (I3 S) software to assist in discriminating between images of P. forsteri individuals. This study's results show the high discriminant ability of I3 S to differentiate between unlike individuals and identify images of the same individual. The ability to use automatic computer-aided assistance in the study of this species will enable future research to explore behaviour and movements of individuals in the wild.
Assuntos
Sistemas de Identificação Animal/métodos , Peixes/anatomia & histologia , Peixes/classificação , Fotografação , Pigmentação , Animais , Humanos , Modelos AnimaisRESUMO
A protocol for photo-identification of individual Megatrygon microps has been defined. One hundred and four identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on eight M. microps re-observed provided an independent confirmation of pattern stability of up to 761 days. Previous studies lacked statistical testing used to validate this photo-identification approach. I3 S photo-matching software was used to successfully match images, identifying 69 individuals. A photo-matching software facilitates an open-source platform for identifying individual M. microps, allowing for better population assessments.