Periodic attention operates faster during more complex visual search

Autor: Garance Merholz, Laetitia Grabot, Rufin VanRullen, Laura Dugué
Přispěvatelé: Centre Neurosciences intégratives et Cognition (INCC - UMR 8002), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre de recherche cerveau et cognition (CERCO UMR5549), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), This project has received funding from the Agence Nationale de la Recherche (ANR)—Deutsche Forschungsgemeinschaft (DFG) programme (grant agreement No J18P08ANR00—Laura Dugué), the ANR programme (grant agreement No ANR-19-NEUC-0004—Rufin VanRullen), and the Université Paris Cité IDEX doctoral programme (grant No J18I08IDEX13—Garance Merholz)., ANR-19-NEUC-0004,OsCiDeep,US-France Research Proposal: Oscillatory processes for visual reasoning in deep neural networks(2019), Université Paris Cité, Equipe HAL, US-France Research Proposal: Oscillatory processes for visual reasoning in deep neural networks - - OsCiDeep2019 - ANR-19-NEUC-0004 - NEUC - VALID
Rok vydání: 2021
Předmět:
Zdroj: Scientific Reports
Scientific Reports, 2022, 12 (1), pp.6688. ⟨10.1038/s41598-022-10647-5⟩
ISSN: 2045-2322
DOI: 10.1038/s41598-022-10647-5⟩
Popis: Attention has been found to sample visual information periodically, in a wide range of frequencies below 20 Hz. This periodicity may be supported by brain oscillations at corresponding frequencies. We propose that part of the discrepancy in periodic frequencies observed in the literature is due to differences in attentional demands, resulting from heterogeneity in tasks performed. To test this hypothesis, we used visual search and manipulated task complexity, i.e., target discriminability (high, medium, low) and number of distractors (set size), while electro-encephalography was simultaneously recorded. We replicated previous results showing that the phase of pre-stimulus low-frequency oscillations predicts search performance. Crucially, such effects were observed at increasing frequencies within the theta-alpha range (6–18 Hz) for decreasing target discriminability. In medium and low discriminability conditions, correct responses were further associated with higher post-stimulus phase-locking than incorrect ones, in increasing frequency and latency. Finally, the larger the set size, the later the post-stimulus effect peaked. Together, these results suggest that increased complexity (lower discriminability or larger set size) requires more attentional cycles to perform the task, partially explaining discrepancies between reports of attentional sampling. Low-frequency oscillations structure the temporal dynamics of neural activity and aid top-down, attentional control for efficient visual processing.
Databáze: OpenAIRE