Visual gnosis and face perception

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

There are two major parallel pathways in humans: the parvocellular (P) and magnocellular (M) pathways. The former has excellent spatial resolution with color selectivity, while the latter shows excellent temporal resolution with high contrast sensitivity. Visual stimuli should be tailored to answer specific clinical and/or research questions. This chapter examines the neural mechanisms of face perception using event-related potentials (ERPs). Face stimuli of different spatial frequencies were used to investigate how low-spatial-frequency (LSF) and high-spatial-frequency (HSF) components of the face contribute to the identification and recognition of the face and facial expressions. The P100 component in the occipital area (Oz), the N170 in the posterior temporal region (T5/T6) and late components peaking at 270-390 ms (T5/T6) were analyzed. LSF enhanced P100, while N170 was augmented by HSF irrespective of facial expressions. This suggested that LSF is important for global processing of facial expressions, whereas HSF handles featural processing. There were significant amplitude differences between positive and negative LSF facial expressions in the early time windows of 270-310 ms. Subsequently, the amplitudes among negative HSF facial expressions differed significantly in the later time windows of 330-390 ms. Discrimination between positive and negative facial expressions precedes discrimination among different negative expressions in a sequential manner based on parallel visual channels. Interestingly, patients with schizophrenia showed decreased spatial frequency sensitivities for face processing. Taken together, the spatially filtered face images are useful for exploring face perception and recognition.

Original languageEnglish
Title of host publicationEarly Detection and Rehabilitation Technologies for Dementia
Subtitle of host publicationNeuroscience and Biomedical Applications
PublisherIGI Global
Pages55-64
Number of pages10
ISBN (Print)9781609605599
DOIs
Publication statusPublished - Dec 1 2011

Fingerprint

Visual Perception
Facial Expression
Contrast Sensitivity
Temporal Lobe
Evoked Potentials
Facial Recognition
Schizophrenia
Color
Research

All Science Journal Classification (ASJC) codes

  • Health Professions(all)

Cite this

Tobimatsu, S. (2011). Visual gnosis and face perception. In Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications (pp. 55-64). IGI Global. https://doi.org/10.4018/978-1-60960-559-9.ch007

Visual gnosis and face perception. / Tobimatsu, Shozo.

Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications. IGI Global, 2011. p. 55-64.

Research output: Chapter in Book/Report/Conference proceedingChapter

Tobimatsu, S 2011, Visual gnosis and face perception. in Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications. IGI Global, pp. 55-64. https://doi.org/10.4018/978-1-60960-559-9.ch007
Tobimatsu S. Visual gnosis and face perception. In Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications. IGI Global. 2011. p. 55-64 https://doi.org/10.4018/978-1-60960-559-9.ch007
Tobimatsu, Shozo. / Visual gnosis and face perception. Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications. IGI Global, 2011. pp. 55-64
@inbook{523579182e1a494783c1dd4661ff5312,
title = "Visual gnosis and face perception",
abstract = "There are two major parallel pathways in humans: the parvocellular (P) and magnocellular (M) pathways. The former has excellent spatial resolution with color selectivity, while the latter shows excellent temporal resolution with high contrast sensitivity. Visual stimuli should be tailored to answer specific clinical and/or research questions. This chapter examines the neural mechanisms of face perception using event-related potentials (ERPs). Face stimuli of different spatial frequencies were used to investigate how low-spatial-frequency (LSF) and high-spatial-frequency (HSF) components of the face contribute to the identification and recognition of the face and facial expressions. The P100 component in the occipital area (Oz), the N170 in the posterior temporal region (T5/T6) and late components peaking at 270-390 ms (T5/T6) were analyzed. LSF enhanced P100, while N170 was augmented by HSF irrespective of facial expressions. This suggested that LSF is important for global processing of facial expressions, whereas HSF handles featural processing. There were significant amplitude differences between positive and negative LSF facial expressions in the early time windows of 270-310 ms. Subsequently, the amplitudes among negative HSF facial expressions differed significantly in the later time windows of 330-390 ms. Discrimination between positive and negative facial expressions precedes discrimination among different negative expressions in a sequential manner based on parallel visual channels. Interestingly, patients with schizophrenia showed decreased spatial frequency sensitivities for face processing. Taken together, the spatially filtered face images are useful for exploring face perception and recognition.",
author = "Shozo Tobimatsu",
year = "2011",
month = "12",
day = "1",
doi = "10.4018/978-1-60960-559-9.ch007",
language = "English",
isbn = "9781609605599",
pages = "55--64",
booktitle = "Early Detection and Rehabilitation Technologies for Dementia",
publisher = "IGI Global",

}

TY - CHAP

T1 - Visual gnosis and face perception

AU - Tobimatsu, Shozo

PY - 2011/12/1

Y1 - 2011/12/1

N2 - There are two major parallel pathways in humans: the parvocellular (P) and magnocellular (M) pathways. The former has excellent spatial resolution with color selectivity, while the latter shows excellent temporal resolution with high contrast sensitivity. Visual stimuli should be tailored to answer specific clinical and/or research questions. This chapter examines the neural mechanisms of face perception using event-related potentials (ERPs). Face stimuli of different spatial frequencies were used to investigate how low-spatial-frequency (LSF) and high-spatial-frequency (HSF) components of the face contribute to the identification and recognition of the face and facial expressions. The P100 component in the occipital area (Oz), the N170 in the posterior temporal region (T5/T6) and late components peaking at 270-390 ms (T5/T6) were analyzed. LSF enhanced P100, while N170 was augmented by HSF irrespective of facial expressions. This suggested that LSF is important for global processing of facial expressions, whereas HSF handles featural processing. There were significant amplitude differences between positive and negative LSF facial expressions in the early time windows of 270-310 ms. Subsequently, the amplitudes among negative HSF facial expressions differed significantly in the later time windows of 330-390 ms. Discrimination between positive and negative facial expressions precedes discrimination among different negative expressions in a sequential manner based on parallel visual channels. Interestingly, patients with schizophrenia showed decreased spatial frequency sensitivities for face processing. Taken together, the spatially filtered face images are useful for exploring face perception and recognition.

AB - There are two major parallel pathways in humans: the parvocellular (P) and magnocellular (M) pathways. The former has excellent spatial resolution with color selectivity, while the latter shows excellent temporal resolution with high contrast sensitivity. Visual stimuli should be tailored to answer specific clinical and/or research questions. This chapter examines the neural mechanisms of face perception using event-related potentials (ERPs). Face stimuli of different spatial frequencies were used to investigate how low-spatial-frequency (LSF) and high-spatial-frequency (HSF) components of the face contribute to the identification and recognition of the face and facial expressions. The P100 component in the occipital area (Oz), the N170 in the posterior temporal region (T5/T6) and late components peaking at 270-390 ms (T5/T6) were analyzed. LSF enhanced P100, while N170 was augmented by HSF irrespective of facial expressions. This suggested that LSF is important for global processing of facial expressions, whereas HSF handles featural processing. There were significant amplitude differences between positive and negative LSF facial expressions in the early time windows of 270-310 ms. Subsequently, the amplitudes among negative HSF facial expressions differed significantly in the later time windows of 330-390 ms. Discrimination between positive and negative facial expressions precedes discrimination among different negative expressions in a sequential manner based on parallel visual channels. Interestingly, patients with schizophrenia showed decreased spatial frequency sensitivities for face processing. Taken together, the spatially filtered face images are useful for exploring face perception and recognition.

UR - http://www.scopus.com/inward/record.url?scp=84863878179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863878179&partnerID=8YFLogxK

U2 - 10.4018/978-1-60960-559-9.ch007

DO - 10.4018/978-1-60960-559-9.ch007

M3 - Chapter

AN - SCOPUS:84863878179

SN - 9781609605599

SP - 55

EP - 64

BT - Early Detection and Rehabilitation Technologies for Dementia

PB - IGI Global

ER -