Literature DB >> 11114495

Cerebral cortex: a topographic segmentation method using magnetic resonance imaging.

B Crespo-Facorro1, J Kim, N C Andreasen, R Spinks, D S O'Leary, H J Bockholt, G Harris, V A Magnotta.   

Abstract

Remarkable developments in magnetic resonance imaging (MRI) technology provide a broad range of potential applications to explore in vivo morphological characteristics of the human cerebral cortex. MR-based parcellation methods of the cerebral cortex may clarify the structural anomalies in specific brain subregions that reflect underlying neuropathological processes in brain illnesses. The present study describes detailed guidelines for the parcellation of the cerebral cortex into 41 subregions. Our method conserves the topographic uniqueness of individual brains and is based on our ability to visualize the three orthogonal planes, the triangulated gray matter isosurface and the three-dimensional (3D) rendered brain simultaneously. Based upon topographic landmarks of individual sulci, every subregion was manually segmented on a set of serial coronal or transaxial slices consecutively. The reliability study indicated that the cerebral cortex could be parcelled reliably; intraclass correlation coefficients for each subregion ranged from 0.60 to 0.99. The validity of the method is supported by the fact that gyral subdivisions are similar to regions delineated in functional imaging studies conducted in our center. Ultimately, this method will permit us to detect subtle morphometric impairments or to find abnormal patterns of functional activation in circumscribed cortical subregions. The description of a thorough map of regional structural and functional cortical abnormalities will provide further insight into the role that different subregions play in the pathophysiology of brain illnesses.

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Year:  2000        PMID: 11114495     DOI: 10.1016/s0925-4927(00)00072-x

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  18 in total

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Review 4.  Mapping brains without coordinates.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-04-29       Impact factor: 6.237

5.  Statistical neuroanatomy of the human inferior frontal gyrus and probabilistic atlas in a standard stereotaxic space.

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Journal:  Hum Brain Mapp       Date:  2007-01       Impact factor: 5.038

6.  Developmental changes in cerebral white matter microstructure in a disorder of lysosomal storage.

Authors:  Sunita Bava; Rebecca J Theilmann; Miriam Sach; Susanne J May; Lawrence R Frank; John R Hesselink; Duc Vu; Doris A Trauner
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Review 7.  The emerging discipline of Computational Functional Anatomy.

Authors:  Michael I Miller; Anqi Qiu
Journal:  Neuroimage       Date:  2008-11-10       Impact factor: 6.556

8.  Automated MRI parcellation of the frontal lobe.

Authors:  Marin E Ranta; Min Chen; Deana Crocetti; Jerry L Prince; Krish Subramaniam; Bruce Fischl; Walter E Kaufmann; Stewart H Mostofsky
Journal:  Hum Brain Mapp       Date:  2013-07-29       Impact factor: 5.038

9.  Social function in boys with cleft lip and palate: relationship to ventral frontal cortex morphology.

Authors:  Aaron D Boes; Vesna Murko; Jessica L Wood; Douglas R Langbehn; John Canady; Lynn Richman; Peg Nopoulos
Journal:  Behav Brain Res       Date:  2007-04-22       Impact factor: 3.332

10.  Quantitative validation of a visual rating scale for frontal atrophy: associations with clinical status, APOE e4, CSF biomarkers and cognition.

Authors:  Daniel Ferreira; Lena Cavallin; Tobias Granberg; Olof Lindberg; Carlos Aguilar; Patrizia Mecocci; Bruno Vellas; Magda Tsolaki; Iwona Kłoszewska; Hilkka Soininen; Simon Lovestone; Andrew Simmons; Lars-Olof Wahlund; Eric Westman
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

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