Familiarity Processing through Faces and Names: Insights from Multivoxel Pattern Analysis
Metadatos
Mostrar el registro completo del ítemAutor
Castro-Laguardia, Ana María; Ontivero Ortega, Marlis; Morato Gabao, Cristina; Lucas, Ignacio; Vila Castellar, Jaime; Bobes León, María Antonieta; Guerra Muñoz, Pedro MaríaEditorial
MDPI
Materia
Faces Familiarity processing Multivoxel pattern analysis
Fecha
2023-12-30Referencia bibliográfica
Castro-Laguardia, A.M.; Ontivero-Ortega, M.; Morato, C.; Lucas, I.; Vila, J.; Bobes León, M.A.; Muñoz, P.G. Familiarity Processing through Faces and Names: Insights from Multivoxel Pattern Analysis. Brain Sci. 2024, 14, 39. https://doi.org/10.3390/brainsci14010039
Patrocinador
Spanish Ministry of Science and Innovation (Grant PSI2011- 28530); Cuban Neuroscience and Neurotechnology Program (PN305LH013-010)Resumen
The way our brain processes personal familiarity is still debatable. We used searchlight
multivoxel pattern analysis (MVPA) to identify areas where local fMRI patterns could contribute to
familiarity detection for both faces and name categories. Significantly, we identified cortical areas
in frontal, temporal, cingulate, and insular areas, where it is possible to accurately cross-classify
familiar stimuli from one category using a classifier trained with the stimulus from the other (i.e.,
abstract familiarity) based on local fMRI patterns. We also discovered several areas in the fusiform
gyrus, frontal, and temporal regions—primarily lateralized to the right hemisphere—supporting
the classification of familiar faces but failing to do so for names. Also, responses to familiar names
(compared to unfamiliar names) consistently showed less activation strength than responses to
familiar faces (compared to unfamiliar faces). The results evinced a set of abstract familiarity areas
(independent of the stimulus type) and regions specifically related only to face familiarity, contributing
to recognizing familiar individuals.