Quantifying the time course of visual object processing using ERPs: it’s time to up the game
Hundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor inferential and descriptive group statistics. These p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2011-05-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2011.00107/full |
| _version_ | 1819263228944842752 |
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| author | Guillaume A Rousselet Cyril R Pernet |
| author_facet | Guillaume A Rousselet Cyril R Pernet |
| author_sort | Guillaume A Rousselet |
| collection | DOAJ |
| description | Hundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor inferential and descriptive group statistics. These problems, together with a tendency to discuss any effect p<0.05 rather than to report effect sizes, have led to a research field very much qualitative in nature, despite its quantitative inspirations, and in which predictions do not go beyond condition A > condition B. Here we describe the main limitations of face and object ERP research and suggest alternative strategies to move forward. The problems plague intracranial and surface ERP studies, but also studies using more advanced techniques – e.g. source space analyses and measurements of network dynamics, as well as many behavioural, fMRI, TMS and LFP studies. In essence, it is time to stop amassing binary results and start using single-trial analyses to build models of visual perception. |
| first_indexed | 2024-12-23T20:10:16Z |
| format | Article |
| id | doaj.art-40544f204e34480f86316a80e819b13a |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-23T20:10:16Z |
| publishDate | 2011-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-40544f204e34480f86316a80e819b13a2022-12-21T17:32:49ZengFrontiers Media S.A.Frontiers in Psychology1664-10782011-05-01210.3389/fpsyg.2011.0010710188Quantifying the time course of visual object processing using ERPs: it’s time to up the gameGuillaume A Rousselet0Cyril R Pernet1University of GlasgowUniversity of EdinburghHundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor inferential and descriptive group statistics. These problems, together with a tendency to discuss any effect p<0.05 rather than to report effect sizes, have led to a research field very much qualitative in nature, despite its quantitative inspirations, and in which predictions do not go beyond condition A > condition B. Here we describe the main limitations of face and object ERP research and suggest alternative strategies to move forward. The problems plague intracranial and surface ERP studies, but also studies using more advanced techniques – e.g. source space analyses and measurements of network dynamics, as well as many behavioural, fMRI, TMS and LFP studies. In essence, it is time to stop amassing binary results and start using single-trial analyses to build models of visual perception.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2011.00107/fullfacesMechanismrobust statisticsERPprocessing speedN170 |
| spellingShingle | Guillaume A Rousselet Cyril R Pernet Quantifying the time course of visual object processing using ERPs: it’s time to up the game Frontiers in Psychology faces Mechanism robust statistics ERP processing speed N170 |
| title | Quantifying the time course of visual object processing using ERPs: it’s time to up the game |
| title_full | Quantifying the time course of visual object processing using ERPs: it’s time to up the game |
| title_fullStr | Quantifying the time course of visual object processing using ERPs: it’s time to up the game |
| title_full_unstemmed | Quantifying the time course of visual object processing using ERPs: it’s time to up the game |
| title_short | Quantifying the time course of visual object processing using ERPs: it’s time to up the game |
| title_sort | quantifying the time course of visual object processing using erps it s time to up the game |
| topic | faces Mechanism robust statistics ERP processing speed N170 |
| url | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2011.00107/full |
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