New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects

被引:410
作者
Fedorenko, Evelina [1 ]
Hsieh, Po-Jang [1 ]
Nieto-Castanon, Alfonso [1 ]
Whitfield-Gabrieli, Susan [1 ]
Kanwisher, Nancy [1 ]
机构
[1] MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
关键词
SENTENCE COMPREHENSION; BRAIN POTENTIALS; INTERSUBJECT VARIABILITY; INTRASUBJECT REPRODUCIBILITY; NEURAL MECHANISMS; TEMPORAL CORTEX; WORKING-MEMORY; CORTICAL AREAS; BROCAS AREA; ACTIVATION;
D O I
10.1152/jn.00032.2010
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Fedorenko E, Hsieh PJ, Nieto-Castanon A, Whitfield-Gabrieli S, Kanwisher N. New method for fMRI investigations of language: defining ROIs functionally in individual subjects. J Neurophysiol 104: 1177-1194, 2010. First published April 21, 2010; doi:10.1152/jn.00032.2010. Previous neuroimaging research has identified a number of brain regions sensitive to different aspects of linguistic processing, but precise functional characterization of these regions has proven challenging. We hypothesize that clearer functional specificity may emerge if candidate language-sensitive regions are identified functionally within each subject individually, a method that has revealed striking functional specificity in visual cortex but that has rarely been applied to neuroimaging studies of language. This method enables pooling of data from corresponding functional regions across subjects rather than from corresponding locations in stereotaxic space (which may differ functionally because of the anatomical variability across subjects). However, it is far from obvious a priori that this method will work as it requires that multiple stringent conditions be met. Specifically, candidate language-sensitive brain regions must be identifiable functionally within individual subjects in a short scan, must be replicable within subjects and have clear correspondence across subjects, and must manifest key signatures of language processing (e.g., a higher response to sentences than nonword strings, whether visual or auditory). We show here that this method does indeed work: we identify 13 candidate language-sensitive regions that meet these criteria, each present in >= 80% of subjects individually. The selectivity of these regions is stronger using our method than when standard group analyses are conducted on the same data, suggesting that the future application of this method may reveal clearer functional specificity than has been evident in prior neuroimaging research on language.
引用
收藏
页码:1177 / 1194
页数:18
相关论文
共 99 条
  • [1] Amunts K, 1999, J COMP NEUROL, V412, P319, DOI 10.1002/(SICI)1096-9861(19990920)412:2<319::AID-CNE10>3.0.CO
  • [2] 2-7
  • [3] From intersubject variability in clinical syndromes to anatomical variability
    Amunts, K
    Willmes, K
    [J]. BRAIN AND LANGUAGE, 2006, 96 (02) : 147 - 150
  • [4] [Anonymous], COGNITIVE NEUROPSYCH
  • [5] SEMANTIC UNIFICATION WITH FUZZY CONCEPTS IN FRIL
    BALDWIN, JF
    PILSWORTH, BW
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1992, 7 (01) : 61 - 69
  • [6] [Anonymous], 1984, NEW METHODS READING
  • [7] Visual word processing and experiential origins of functional selectivity in human extrastriate cortex
    Baker, Chris I.
    Liu, Jia
    Wald, Lawrence L.
    Kwong, Kenneth K.
    Benner, Thomas
    Kanwisher, Nancy
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (21) : 9087 - 9092
  • [8] Neural correlates of syntactic movement: converging evidence from two fMRI experiments
    Ben-Shachar, M
    Palti, D
    Grodzinsky, Y
    [J]. NEUROIMAGE, 2004, 21 (04) : 1320 - 1336
  • [9] The neural reality of syntactic transformations: Evidence from functional magnetic resonance imaging
    Ben-Shachar, M
    Hendler, T
    Kahn, I
    Ben-Bashat, D
    Grodzinsky, Y
    [J]. PSYCHOLOGICAL SCIENCE, 2003, 14 (05) : 433 - 440
  • [10] Evaluating functional localizers: The case of the FFA
    Berman, Marc G.
    Park, Joonkoo
    Gonzalez, Richard
    Polk, Thad A.
    Gehrke, Amanda
    Knaffla, Scott
    Jonides, John
    [J]. NEUROIMAGE, 2010, 50 (01) : 56 - 71