Journal article
Cerebral cortex: a topographic segmentation method using magnetic resonance imaging
Psychiatry research. Neuroimaging, Vol.100(2), pp.97-126
2000
DOI: 10.1016/S0925-4927(00)00072-X
PMID: 11114495
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.
Details
- Title: Subtitle
- Cerebral cortex: a topographic segmentation method using magnetic resonance imaging
- Creators
- Benedicto Crespo-FacorroJae-Jin KimNancy C AndreasenRuth SpinksDaniel S O'LearyH.Jeremy BockholtGregory HarrisVincent A Magnotta
- Resource Type
- Journal article
- Publication Details
- Psychiatry research. Neuroimaging, Vol.100(2), pp.97-126
- Publisher
- Elsevier Ireland Ltd
- DOI
- 10.1016/S0925-4927(00)00072-X
- PMID
- 11114495
- ISSN
- 0925-4927
- eISSN
- 1872-7506
- Language
- English
- Date published
- 2000
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984003488302771
Metrics
12 Record Views