Effects of Low-Spatial Frequency Components of Fearful Faces on Fusiform Cortex Activity
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TLDR
Emotional modulation of a face-responsive region of fusiform is driven by the low-frequency components of the stimulus, an effect independent of subjects' reported perception but evident in an incidental measure of behavioral performance.About:
This article is published in Current Biology.The article was published on 2003-10-14 and is currently open access. It has received 197 citations till now.read more
Citations
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Journal ArticleDOI
How brains beware: neural mechanisms of emotional attention.
TL;DR: This work should help to elucidate the neural processes and temporal dynamics governing the integration of cognitive and affective influences in attention and behaviour.
Journal ArticleDOI
Emotion processing and the amygdala: from a 'low road' to 'many roads' of evaluating biological significance
Luiz Pessoa,Ralph Adolphs +1 more
TL;DR: It is proposed that the primary role of the amygdala in visual processing, like that of the pulvinar, is to coordinate the function of cortical networks during evaluation of the biological significance of affective visual stimuli.
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The fusiform face area: a cortical region specialized for the perception of faces.
Nancy Kanwisher,Galit Yovel +1 more
TL;DR: It is argued that the F FA is engaged both in detecting faces and in extracting the necessary perceptual information to recognize them, and that the properties of the FFA mirror previously identified behavioural signatures of face-specific processing.
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Distributed and interactive brain mechanisms during emotion face perception: Evidence from functional neuroimaging
TL;DR: Hemodynamic and electrical neuroimaging results indicating that activity in the face-selective fusiform cortex may be enhanced by emotional (fearful) expressions, without explicit voluntary control, and presumably through direct feedback connections from the amygdala are reviewed.
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Developmental deficits in social perception in autism: the role of the amygdala and fusiform face area.
TL;DR: It is argued that the development of face perception and social cognitive skills are supported by the amygdala–fusiform system, and that deficits in this network are instrumental in causing autism.
References
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Book
Descartes' Error: Emotion, Reason, and the Human Brain
TL;DR: The authors argued that rational decisions are not the product of logic alone - they require the support of emotion and feeling, drawing on his experience with neurological patients affected with brain damage, Dr Damasio showed how absence of emotions and feelings can break down rationality.
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Statistical parametric maps in functional imaging: A general linear approach
Karl J. Friston,Andrew P. Holmes,Keith J. Worsley,J-B. Poline,Chris D. Frith,Richard S. J. Frackowiak +5 more
TL;DR: In this paper, the authors present a general approach that accommodates most forms of experimental layout and ensuing analysis (designed experiments with fixed effects for factors, covariates and interaction of factors).
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Spatial registration and normalization of images
Karl J. Friston,John Ashburner,Chris D. Frith,Jean-Baptiste Poline,Jon D. Heather,Richard S. J. Frackowiak +5 more
TL;DR: A general technique that facilitates nonlinear spatial (stereotactic) normalization and image realignment is presented that minimizes the sum of squares between two images following non linear spatial deformations and transformations of the voxel (intensity) values.
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The amygdala: vigilance and emotion
Michael Davis,Paul J. Whalen +1 more
TL;DR: A review of available studies examining the human amygdala covers both lesion and electrical stimulation studies as well as the most recent functional neuroimaging studies, and attempts to integrate basic information on normal amygdala function with the current understanding of psychiatric disorders, including pathological anxiety.
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A unified statistical approach for determining significant signals in images of cerebral activation.
TL;DR: A unified statistical theory for assessing the significance of apparent signal observed in noisy difference images is presented and an estimate of the P‐value for local maxima of Gaussian, t, χ2 and F fields over search regions of any shape or size in any number of dimensions is estimated.