Literature DB >> 11034862

Spatiotemporal frequency and direction sensitivities of human visual areas measured using fMRI.

K D Singh1, A T Smith, M W Greenlee.   

Abstract

Using functional magnetic resonance imaging (fMRI) we have studied the variation in response magnitude, in each visual area (V1-V5), as a function of spatial frequency (SF), temporal frequency (TF) and unidirectional motion versus counterphase flicker. Each visual area was identified in each subject using a combination of retinotopic mapping fMRI and cortical flattening techniques. A drifting (or counterphasing) sinusoidal grating was used as the stimulus in a study in which we parametrically varied SF between 0.4 and 7 cycles/degree and TF between 0 and 18 Hz. For each experiment we constructed fMRI amplitude tuning curves, averaged across subjects, for each visual area. The tuning curves that resulted are consistent with the known physiological properties of cells in the corresponding macaque visual areas, previous functional imaging studies, and in the case of V1, the psychophysically determined contrast sensitivity functions for spatial and temporal frequency. In the case of V3A, the SF tuning functions obtained were more similar to those found in single cell studies of macaque V3 rather than macaque V3A. All areas showed at least a moderate preference for directed versus counterphasing motion with V5 showing the largest preference. Visual areas V1, V2, V3, and V3A showed more direction sensitivity at low spatial frequencies, while VP, V4, and V5 had the highest drifting versus counterphasing ratios for higher spatial frequencies.

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Mesh:

Year:  2000        PMID: 11034862     DOI: 10.1006/nimg.2000.0642

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


  47 in total

1.  Determination of individual stimulus--response curves in the visual cortex.

Authors:  Rogier E Hagenbeek; Serge A R B Rombouts; Bob W van Dijk; Frederik Barkhof
Journal:  Hum Brain Mapp       Date:  2002-12       Impact factor: 5.038

2.  Phosphene threshold as a function of contrast of external visual stimuli.

Authors:  Andreas M Rauschecker; Sven Bestmann; Vincent Walsh; Kai V Thilo
Journal:  Exp Brain Res       Date:  2004-05-26       Impact factor: 1.972

3.  Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific.

Authors:  Anthony Stigliani; Kevin S Weiner; Kalanit Grill-Spector
Journal:  J Neurosci       Date:  2015-09-09       Impact factor: 6.167

4.  Specializations for chromatic and temporal signals in human visual cortex.

Authors:  Junjie Liu; Brian A Wandell
Journal:  J Neurosci       Date:  2005-03-30       Impact factor: 6.167

5.  Detecting functional nodes in large-scale cortical networks with functional magnetic resonance imaging: a principal component analysis of the human visual system.

Authors:  Christine Ecker; Emanuelle Reynaud; Steven C Williams; Michael J Brammer
Journal:  Hum Brain Mapp       Date:  2007-09       Impact factor: 5.038

6.  Early dissociation of face and object processing: a magnetoencephalographic study.

Authors:  Ana Susac; Risto J Ilmoniemi; Elina Pihko; Jussi Nurminen; Selma Supek
Journal:  Hum Brain Mapp       Date:  2009-03       Impact factor: 5.038

7.  Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations.

Authors:  Donald J Hagler; Eric Halgren; Antigona Martinez; Mingxiong Huang; Steven A Hillyard; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

8.  State-dependency effects on TMS: a look at motive phosphene behavior.

Authors:  Umer Najib; Jared C Horvath; Juha Silvanto; Alvaro Pascual-Leone
Journal:  J Vis Exp       Date:  2010-12-28       Impact factor: 1.355

9.  Entrainment of visual steady-state responses is modulated by global spatial statistics.

Authors:  Thomas Nguyen; Karl Kuntzelman; Vladimir Miskovic
Journal:  J Neurophysiol       Date:  2017-04-26       Impact factor: 2.714

10.  Objective assessment of visual acuity: a refined model for analyzing the sweep VEP.

Authors:  Torsten Strasser; Fadi Nasser; Hana Langrová; Ditta Zobor; Łukasz Lisowski; Dominic Hillerkuss; Carla Sailer; Anne Kurtenbach; Eberhart Zrenner
Journal:  Doc Ophthalmol       Date:  2019-01-29       Impact factor: 2.379

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