Estimating linear cortical magnification in human primary visual cortex via dynamic programming

被引:62
作者
Qiu, Anqi
Rosenau, Benjamin J.
Greenberg, Adam S.
Hurdal, Monica K.
Barta, Patrick
Yantis, Steven
Miller, Michael I.
机构
[1] Johns Hopkins Univ, Ctr Imaging Sci, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
[3] Johns Hopkins Univ, Dept Psychol & Brain Sci, Baltimore, MD 21218 USA
[4] Florida State Univ, Dept Math, Tallahassee, FL 32306 USA
[5] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[6] Johns Hopkins Univ, Sch Med, Dept Psychiat, Baltimore, MD 21205 USA
关键词
retinotopic mapping; linear cortical magnification; Laplace-Beltrami operator; dynamic programming;
D O I
10.1016/j.neuroimage.2005.11.049
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Human primary visual cortex is organized retinotopically, with adjacent locations in cortex representing adjacent locations on the retina. The spatial sampling in cortex is highly nonuniform: the amount of cortex devoted to a unit area of retina decreases with increasing retinal eccentricity. This sampling property can be quantified by the linear cortical magnification factor, which is expressed in terms of millimeters of cortex per degree of visual angle. In this paper, we present a new method using dynamic programming and fMRI retinotopic eccentricity mapping to estimate the linear cortical magnification factor in human primary visual cortex (VI). We localized cortical activity while subjects viewed each of seven stationary contrast-reversing radial checkerboard rings of equal thickness that tiled the visual field from 1.62 to 12.96 degrees of eccentricity. Imaging data from all epochs of each ring were contrasted with data from fixation epochs on a subject-by-subject basis. The resulting t statistic maps were then superimposed on a local coordinate system constructed from the gray/white matter boundary surface of each individual subject's occipital lobe, separately for each ring. Smoothed maps of functional activity on the cortical surface were constructed using orthonormal bases of the Laplace-Beltrami operator that incorporate the geometry of the cortical surface. This allowed us to stably track the ridge of maximum activation due to each ring via dynamic programming optimization over all possible paths on the cortical surface. We estimated the linear cortical magnification factor by calculating geodesic distances between activation ridges on the cortical surface in a population of five normal subjects. The reliability of these estimates was assessed by comparing results based on data from one quadrant to those based on data from the full hemifield along with a split-half reliability analysis. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:125 / 138
页数:14
相关论文
共 63 条
[1]  
Andrade A, 2001, HUM BRAIN MAPP, V12, P79, DOI 10.1002/1097-0193(200102)12:2<79::AID-HBM1005>3.0.CO
[2]  
2-I
[3]   On the Laplace-Beltrami operator and brain surface flattening [J].
Angenent, S ;
Haker, S ;
Tannenbaum, A ;
Kikinis, R .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (08) :700-711
[4]  
[Anonymous], 1990, SPLINE MODELS OBSERV
[5]  
[Anonymous], P SPIE MED IMAGING
[6]  
[Anonymous], 1999, The Prostate Cancer Journal, DOI DOI 10.1046/J.1525-1411.1999.14005.X
[7]   Reorganization of visual processing in macular degeneration [J].
Baker, CI ;
Peli, E ;
Knouf, N ;
Kanwisher, NG .
JOURNAL OF NEUROSCIENCE, 2005, 25 (03) :614-618
[8]   A stochastic model for studying the laminar structure of cortex from MRI [J].
Barta, P ;
Miller, MI ;
Qiu, AQ .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2005, 24 (06) :728-742
[9]  
Baseler HA, 1999, J NEUROSCI, V19, P2619
[10]  
COLLINS C, 2003, COMP GEOM-THEOR APPL, V25, P21