Literature DB >> 21875671

Measuring structural-functional correspondence: spatial variability of specialised brain regions after macro-anatomical alignment.

Martin A Frost1, Rainer Goebel.   

Abstract

The central question of the relationship between structure and function in the human brain is still not well understood. In order to investigate this fundamental relationship we create functional probabilistic maps from a large set of mapping experiments and compare the location of functionally localised regions across subjects using different whole-brain alignment schemes. To avoid the major problems associated with meta-analysis approaches, all subjects are scanned using the same paradigms, the same scanner and the same analysis pipeline. We show that an advanced, curvature driven cortex based alignment (CBA) scheme largely removes macro-anatomical variability across subjects. Remaining variability in the observed spatial location of functional regions, thus, reflects the "true" functional variability, i.e. the quantified variability is a good estimator of the underlying structural-functional correspondence. After localising 13 widely studied functional areas, we found a large variability in the degree to which functional areas respect macro-anatomical boundaries across the cortex. Some areas, such as the frontal eye fields (FEF) are strongly bound to a macro-anatomical location. Fusiform face area (FFA) on the other hand, varies in its location along the length of the fusiform gyrus even though the gyri themselves are well aligned across subjects. Language areas were found to vary greatly across subjects whilst a high degree of overlap was observed in sensory and motor areas. The observed differences in functional variability for different specialised areas suggest that a more complete estimation of the structure-function relationship across the whole cortex requires further empirical studies with an expanded test battery.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21875671     DOI: 10.1016/j.neuroimage.2011.08.035

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


  103 in total

1.  The mid-fusiform sulcus: a landmark identifying both cytoarchitectonic and functional divisions of human ventral temporal cortex.

Authors:  Kevin S Weiner; Golijeh Golarai; Julian Caspers; Miguel R Chuapoco; Hartmut Mohlberg; Karl Zilles; Katrin Amunts; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2013-09-08       Impact factor: 6.556

2.  Processing of natural sounds: characterization of multipeak spectral tuning in human auditory cortex.

Authors:  Michelle Moerel; Federico De Martino; Roberta Santoro; Kamil Ugurbil; Rainer Goebel; Essa Yacoub; Elia Formisano
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

3.  How affective information from faces and scenes interacts in the brain.

Authors:  Jan Van den Stock; Mathieu Vandenbulcke; Charlotte B A Sinke; Rainer Goebel; Beatrice de Gelder
Journal:  Soc Cogn Affect Neurosci       Date:  2013-08-15       Impact factor: 3.436

4.  A possible functional localizer for identifying brain regions sensitive to sentence-level prosody.

Authors:  Evelina Fedorenko; Po-Jang Hsieh; Zuzanna Balewski
Journal:  Lang Cogn Neurosci       Date:  2015       Impact factor: 2.331

5.  Development and Emergence of Individual Variability in the Functional Connectivity Architecture of the Preterm Human Brain.

Authors:  Yuehua Xu; Miao Cao; Xuhong Liao; Mingrui Xia; Xindi Wang; Tina Jeon; Minhui Ouyang; Lina Chalak; Nancy Rollins; Hao Huang; Yong He
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

6.  Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability.

Authors:  Idan A Blank; Swathi Kiran; Evelina Fedorenko
Journal:  Cogn Neuropsychol       Date:  2017-11-30       Impact factor: 2.468

7.  fMRI reveals language-specific predictive coding during naturalistic sentence comprehension.

Authors:  Cory Shain; Idan Asher Blank; Marten van Schijndel; William Schuler; Evelina Fedorenko
Journal:  Neuropsychologia       Date:  2019-12-24       Impact factor: 3.139

Review 8.  Broca's Area Is Not a Natural Kind.

Authors:  Evelina Fedorenko; Idan A Blank
Journal:  Trends Cogn Sci       Date:  2020-02-20       Impact factor: 20.229

9.  Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation.

Authors:  Kevin S Weiner; Michael A Barnett; Nathan Witthoft; Golijeh Golarai; Anthony Stigliani; Kendrick N Kay; Jesse Gomez; Vaidehi S Natu; Katrin Amunts; Karl Zilles; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2017-04-18       Impact factor: 6.556

Review 10.  The Human Connectome Project's neuroimaging approach.

Authors:  Matthew F Glasser; Stephen M Smith; Daniel S Marcus; Jesper L R Andersson; Edward J Auerbach; Timothy E J Behrens; Timothy S Coalson; Michael P Harms; Mark Jenkinson; Steen Moeller; Emma C Robinson; Stamatios N Sotiropoulos; Junqian Xu; Essa Yacoub; Kamil Ugurbil; David C Van Essen
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.