Tags

Type your tag names separated by a space and hit enter

Early ERP components differentially extract facial features: evidence for spatial frequency-and-contrast detectors.
Neurosci Res. 2008 Dec; 62(4):225-35.NR

Abstract

It is generally accepted that the N170 component of an event-related potential (ERP) reflects the structural encoding of faces and is specialized for face processing. Recent neuroimaging and ERP studies have demonstrated that spatial frequency is a crucial factor for face recognition. To clarify which early ERP components reflect either coarse (low spatial frequency, LSF) or fine (high spatial frequency, HSF) processing of faces, we recorded ERPs induced by manipulated face stimuli. By filtering the original grayscale faces (broadband spatial frequency) spatially, we created LSF and HSF face stimuli. Next, we created physically equiluminant (PEL) face stimuli to eliminate the effects of lower order information, such as luminance and contrast. The P1 amplitude at the occipital region was augmented by LSF faces, while the N170 amplitude increased for HSF faces. The occipital P1 amplitude for PEL faces was relatively unaffected compared with that for PEL houses. In addition, the occipital N2 for PEL faces was spatiotemporally separable from N170 in a time-window between P1 and N170. These results indicate that P1 reflects coarse processing of faces, and that the face robustness further assures face-specific processing in the early component. Moreover, N2 reflects the early contrast processing of faces whereas N170 analyzes the fine facial features. Our findings suggest the presence of spatial frequency-and-contrast detectors for face processing.

Authors+Show Affiliations

Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. taisuke@med.kyushu-u.ac.jpNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18809442

Citation

Nakashima, Taisuke, et al. "Early ERP Components Differentially Extract Facial Features: Evidence for Spatial Frequency-and-contrast Detectors." Neuroscience Research, vol. 62, no. 4, 2008, pp. 225-35.
Nakashima T, Kaneko K, Goto Y, et al. Early ERP components differentially extract facial features: evidence for spatial frequency-and-contrast detectors. Neurosci Res. 2008;62(4):225-35.
Nakashima, T., Kaneko, K., Goto, Y., Abe, T., Mitsudo, T., Ogata, K., Makinouchi, A., & Tobimatsu, S. (2008). Early ERP components differentially extract facial features: evidence for spatial frequency-and-contrast detectors. Neuroscience Research, 62(4), 225-35. https://doi.org/10.1016/j.neures.2008.08.009
Nakashima T, et al. Early ERP Components Differentially Extract Facial Features: Evidence for Spatial Frequency-and-contrast Detectors. Neurosci Res. 2008;62(4):225-35. PubMed PMID: 18809442.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Early ERP components differentially extract facial features: evidence for spatial frequency-and-contrast detectors. AU - Nakashima,Taisuke, AU - Kaneko,Kunihiko, AU - Goto,Yoshinobu, AU - Abe,Tomotaka, AU - Mitsudo,Takako, AU - Ogata,Katsuya, AU - Makinouchi,Akifumi, AU - Tobimatsu,Shozo, Y1 - 2008/09/02/ PY - 2008/05/01/received PY - 2008/08/15/revised PY - 2008/08/19/accepted PY - 2008/9/24/pubmed PY - 2009/4/15/medline PY - 2008/9/24/entrez SP - 225 EP - 35 JF - Neuroscience research JO - Neurosci Res VL - 62 IS - 4 N2 - It is generally accepted that the N170 component of an event-related potential (ERP) reflects the structural encoding of faces and is specialized for face processing. Recent neuroimaging and ERP studies have demonstrated that spatial frequency is a crucial factor for face recognition. To clarify which early ERP components reflect either coarse (low spatial frequency, LSF) or fine (high spatial frequency, HSF) processing of faces, we recorded ERPs induced by manipulated face stimuli. By filtering the original grayscale faces (broadband spatial frequency) spatially, we created LSF and HSF face stimuli. Next, we created physically equiluminant (PEL) face stimuli to eliminate the effects of lower order information, such as luminance and contrast. The P1 amplitude at the occipital region was augmented by LSF faces, while the N170 amplitude increased for HSF faces. The occipital P1 amplitude for PEL faces was relatively unaffected compared with that for PEL houses. In addition, the occipital N2 for PEL faces was spatiotemporally separable from N170 in a time-window between P1 and N170. These results indicate that P1 reflects coarse processing of faces, and that the face robustness further assures face-specific processing in the early component. Moreover, N2 reflects the early contrast processing of faces whereas N170 analyzes the fine facial features. Our findings suggest the presence of spatial frequency-and-contrast detectors for face processing. SN - 0168-0102 UR - https://www.unboundmedicine.com/medline/citation/18809442/Early_ERP_components_differentially_extract_facial_features:_evidence_for_spatial_frequency_and_contrast_detectors_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0168-0102(08)00226-5 DB - PRIME DP - Unbound Medicine ER -