Literature DB >> 25850730

Computational neuroimaging and population receptive fields.

Brian A Wandell1, Jonathan Winawer2.   

Abstract

Functional magnetic resonance imaging (fMRI) noninvasively measures human brain activity at millimeter resolution. Scientists use different approaches to take advantage of the remarkable opportunities presented by fMRI. Here, we describe progress using the computational neuroimaging approach in human visual cortex, which aims to build models that predict the neural responses from the stimulus and task. We focus on a particularly active area of research, the use of population receptive field (pRF) models to characterize human visual cortex responses to a range of stimuli, in a variety of tasks and different subject populations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25850730      PMCID: PMC4484758          DOI: 10.1016/j.tics.2015.03.009

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  74 in total

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Authors:  B A Wandell
Journal:  Annu Rev Neurosci       Date:  1999       Impact factor: 12.449

2.  Abnormal visual projection in a human albino studied with functional magnetic resonance imaging and visual evoked potentials.

Authors:  A B Morland; M B Hoffmann; M Neveu; G E Holder
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-04       Impact factor: 10.154

3.  Functional analysis of V3A and related areas in human visual cortex.

Authors:  R B Tootell; J D Mendola; N K Hadjikhani; P J Ledden; A K Liu; J B Reppas; M I Sereno; A M Dale
Journal:  J Neurosci       Date:  1997-09-15       Impact factor: 6.167

Review 4.  Comorbidity of attention deficit hyperactivity disorder with conduct, depressive, anxiety, and other disorders.

Authors:  J Biederman; J Newcorn; S Sprich
Journal:  Am J Psychiatry       Date:  1991-05       Impact factor: 18.112

5.  Dynamic shifts of visual receptive fields in cortical area MT by spatial attention.

Authors:  Thilo Womelsdorf; Katharina Anton-Erxleben; Florian Pieper; Stefan Treue
Journal:  Nat Neurosci       Date:  2006-08-13       Impact factor: 24.884

6.  A new method for estimating population receptive field topography in visual cortex.

Authors:  Sangkyun Lee; Amalia Papanikolaou; Nikos K Logothetis; Stelios M Smirnakis; Georgios A Keliris
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

7.  The relationship between cortical magnification factor and population receptive field size in human visual cortex: constancies in cortical architecture.

Authors:  Ben M Harvey; Serge O Dumoulin
Journal:  J Neurosci       Date:  2011-09-21       Impact factor: 6.167

Review 8.  Learning to see words.

Authors:  Brian A Wandell; Andreas M Rauschecker; Jason D Yeatman
Journal:  Annu Rev Psychol       Date:  2011-07-29       Impact factor: 24.137

Review 9.  Cortical state and attention.

Authors:  Kenneth D Harris; Alexander Thiele
Journal:  Nat Rev Neurosci       Date:  2011-08-10       Impact factor: 34.870

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Authors:  Kendrick N Kay; Thomas Naselaris; Ryan J Prenger; Jack L Gallant
Journal:  Nature       Date:  2008-03-05       Impact factor: 49.962

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  54 in total

1.  Development of population receptive fields in the lateral visual stream improves spatial coding amid stable structural-functional coupling.

Authors:  Jesse Gomez; Alexis Drain; Brianna Jeska; Vaidehi S Natu; Michael Barnett; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2018-12-01       Impact factor: 6.556

Review 2.  How Attention Affects Spatial Resolution.

Authors:  Marisa Carrasco; Antoine Barbot
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-05-06

3.  Population Receptive Field Shapes in Early Visual Cortex Are Nearly Circular.

Authors:  Garikoitz Lerma-Usabiaga; Jonathan Winawer; Brian A Wandell
Journal:  J Neurosci       Date:  2021-02-02       Impact factor: 6.167

4.  The Functional Relevance of Task-State Functional Connectivity.

Authors:  Michael W Cole; Takuya Ito; Carrisa Cocuzza; Ruben Sanchez-Romero
Journal:  J Neurosci       Date:  2021-02-04       Impact factor: 6.167

5.  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

6.  Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling.

Authors:  Sonia Poltoratski; Frank Tong
Journal:  J Neurosci       Date:  2020-03-05       Impact factor: 6.167

7.  Perceptual learning modifies the functional specializations of visual cortical areas.

Authors:  Nihong Chen; Peng Cai; Tiangang Zhou; Benjamin Thompson; Fang Fang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-05       Impact factor: 11.205

8.  A cross-validated cytoarchitectonic atlas of the human ventral visual stream.

Authors:  Mona Rosenke; Kevin S Weiner; Michael A Barnett; Karl Zilles; Katrin Amunts; Rainer Goebel; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2017-02-16       Impact factor: 6.556

9.  Spatial elongation of population receptive field profiles revealed by model-free fMRI back-projection.

Authors:  Christian Merkel; Jens-Max Hopf; Mircea Ariel Schoenfeld
Journal:  Hum Brain Mapp       Date:  2018-02-20       Impact factor: 5.038

10.  Temporal Dynamics and Response Modulation across the Human Visual System in a Spatial Attention Task: An ECoG Study.

Authors:  Anne B Martin; Xiaofang Yang; Yuri B Saalmann; Liang Wang; Avgusta Shestyuk; Jack J Lin; Josef Parvizi; Robert T Knight; Sabine Kastner
Journal:  J Neurosci       Date:  2018-11-20       Impact factor: 6.167

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