Literature DB >> 32439537

Flexible top-down modulation in human ventral temporal cortex.

Ru-Yuan Zhang1, Kendrick Kay2.   

Abstract

Visual neuroscientists have long characterized attention as inducing a scaling or additive effect on fixed parametric functions describing neural responses (e.g., contrast response functions). Here, we instead propose that top-down effects are more complex and manifest in ways that depend not only on attention but also other cognitive processes involved in executing a task. To substantiate this theory, we analyze fMRI responses in human ventral temporal cortex (VTC) in a study where stimulus eccentricity and cognitive task are varied. We find that as stimuli are presented farther into the periphery, bottom-up stimulus-driven responses decline but top-down attentional enhancement increases substantially. This disproportionate enhancement of weak responses cannot be easily explained by conventional models of attention. Furthermore, we find that attentional effects depend on the specific cognitive task performed by the subject, indicating the influence of additional cognitive processes other than attention (e.g., decision-making). The effects we observe replicate in an independent experiment from the same study, and also generalize to a separate study involving different stimulus manipulations (contrast and phase coherence). Our results suggest that a quantitative understanding of top-down modulation requires more nuanced characterization of the multiple cognitive factors involved in completing a perceptual task.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attention; Bottom-up processing; Fusiform face area; Human ventral temporal cortex; Top-down processing

Mesh:

Year:  2020        PMID: 32439537      PMCID: PMC7754186          DOI: 10.1016/j.neuroimage.2020.116964

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  59 in total

1.  Feature-based attention increases the selectivity of population responses in primate visual cortex.

Authors:  Julio C Martinez-Trujillo; Stefan Treue
Journal:  Curr Biol       Date:  2004-05-04       Impact factor: 10.834

Review 2.  The Functional Neuroanatomy of Human Face Perception.

Authors:  Kalanit Grill-Spector; Kevin S Weiner; Kendrick Kay; Jesse Gomez
Journal:  Annu Rev Vis Sci       Date:  2017-07-17       Impact factor: 6.422

3.  The effects of spatial attention in early human visual cortex are stimulus independent.

Authors:  Scott O Murray
Journal:  J Vis       Date:  2008-08-01       Impact factor: 2.240

4.  Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4.

Authors:  C J McAdams; J H Maunsell
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

5.  Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex.

Authors:  S J Luck; L Chelazzi; S A Hillyard; R Desimone
Journal:  J Neurophysiol       Date:  1997-01       Impact factor: 2.714

6.  Spatial Tuning Shifts Increase the Discriminability and Fidelity of Population Codes in Visual Cortex.

Authors:  Vy A Vo; Thomas C Sprague; John T Serences
Journal:  J Neurosci       Date:  2017-02-27       Impact factor: 6.167

7.  Interactions of visual stimuli in the receptive fields of inferior temporal neurons in awake macaques.

Authors:  T Sato
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

8.  Neuronal Modulations in Visual Cortex Are Associated with Only One of Multiple Components of Attention.

Authors:  Thomas Zhihao Luo; John H R Maunsell
Journal:  Neuron       Date:  2015-06-03       Impact factor: 17.173

9.  Attention reduces spatial uncertainty in human ventral temporal cortex.

Authors:  Kendrick N Kay; Kevin S Weiner; Kalanit Grill-Spector
Journal:  Curr Biol       Date:  2015-02-19       Impact factor: 10.834

10.  Attention during natural vision warps semantic representation across the human brain.

Authors:  Tolga Çukur; Shinji Nishimoto; Alexander G Huth; Jack L Gallant
Journal:  Nat Neurosci       Date:  2013-04-21       Impact factor: 24.884

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  1 in total

1.  Involvement of the dorsal and ventral attention networks in visual attention span.

Authors:  Jing Zhao; Junkai Wang; Chen Huang; Peipeng Liang
Journal:  Hum Brain Mapp       Date:  2022-01-04       Impact factor: 5.038

  1 in total

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