BILLEKE BOBADILLA, PABLO ERNESTO
Preferred name
BILLEKE BOBADILLA, PABLO ERNESTO
Main Affiliation
Email
pbilleke@udd.cl
ORCID
0000-0003-4261-0678
Scopus Author ID
8229414600
64 results
Now showing 1 - 10 of 64
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Item type:Product, Dataset - Autism shapes social integration and reciprocity in elementary classrooms(2025); ;MELANIE OYARZÚN ;TAMARA ROCIO YAIKIN CALDERON; - Some of the metrics are blocked by yourconsent settings
Item type:Product, Dataset - Another in need enhances prosociality and modulates frontal theta oscillations in young adults(OSF, 2023); ; LAVÍN TAPIA, CLAUDIO SEBASTIÁN - Some of the metrics are blocked by yourconsent settings
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Item type:Product, Dataset - A comprehensive multimodal MRI and EEG-TMS dataset on the impact of parietal cortex inhibition on decision-making under ambiguity(OSF, 2026); ; GABRIELA BELEN VALDEBENITO OYARZO - Some of the metrics are blocked by yourconsent settings
Item type:Product, Dataset - Coupling between neural oscillations and white matter integrity reveals cognitive computational profiles following COVID-19(OpenEuro, 2026); ; ;MATÍAS IRIARTE CARTER ;VÍCTOR MÁRQUEZMARIA PAZ DE LOS ANGELES MARTINEZ MOLINA - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dominance hierarchy regulates social behavior during spatial movement(2024) ;Ariel Lara-Vasquez ;Nelson Espinosa ;Cristian Morales ;Constanza Moran<jats:p>Rodents establish dominance hierarchy as a social ranking system in which one subject acts as dominant over all the other subordinate individuals. Dominance hierarchy regulates food access and mating opportunities, but little is known about its significance in other social behaviors, for instance during collective navigation for foraging or migration. Here, we implemented a simplified goal-directed spatial task in mice, in which animals navigated individually or collectively with their littermates foraging for food. We compared between conditions and found that the social condition exerts significant influence on individual displacement patterns, even when efficient navigation rules leading to reward had been previously learned. Thus, movement patterns and consequent task performance were strongly dependent on contingent social interactions arising during collective displacement, yet their influence on individual behavior was determined by dominance hierarchy. Dominant animals did not behave as leaders during collective displacement; conversely, they were most sensitive to the social environment adjusting their performance accordingly. Social ranking in turn was associated with specific spontaneous neural activity patterns in the prefrontal cortex and hippocampus, with dominant mice showing higher firing rates, larger ripple oscillations, and stronger neuronal entrainment by ripples than subordinate animals. Moreover, dominant animals selectively increased their cortical spiking activity during collective movement, while subordinate mice did not modify their firing rates, consistent with dominant animals being more sensitive to the social context. These results suggest that dominance hierarchy influences behavioral performance during contingent social interactions, likely supported by the coordinated activity in the hippocampal-prefrontal circuit.</jats:p>4Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Docosahexaenoic acid levels in erythrocytes and their association with the University Selection Test Outcomes in Chile(2018) ;Rodrigo Valenzuela ;Cynthia Barrera ;Yasna Orellana ;Atilio AlmagiàVioleta Arancibia8Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
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Item type:Patent, METHOD FOR PROCESSING BRAIN IMAGES(2022-08-23) ;ZAMORANO MENDIETA, FRANCISCOThe present invention relates to a novel methodology for the field of brain images from Positron Emission Tomography (PET), likewise applicable to brain images from Single-Photon Emission Computer Tomography (SPECT) or another technique that makes it possible to generate images of brain metabolism, function or blood flow. This methodology arises from the need to improve the medical diagnosis of neurological disorders and from the need for objective, unbiased quantification of brain metabolism. The method is based on the spatial symmetry of the metabolism of the healthy human brain. Under this assumption, the entire healthy brain metabolism can be deduced from the metabolism of a single hemisphere of the brain.14