Name
Title | ||
|---|---|---|
Assessing spatial probabilistic distributional differences in the common space between schizophrenics and normal controls based on a novel automated probabilistic pattern analysis method |
Abstract | ||
|---|---|---|
Because of the complex nature of the human brain, a full understanding of its various group specific variation factors such as volume, shape, and location related to age, gender, ethnic, and disease might be provided in both structural and functional neuroimaging studies. To serve this purpose, a novel approach for characterizing the group variability information using group specific labeled probabilistic maps was introduced in this article. An automatic labeling technique was applied to encode group specific probabilistic information for each region of interests (ROIs) covering the overall cortical region and a probabilistic pattern analytic method was proposed to assess the difference in the spatial extent between 70 schizophrenics and 70 controls in the common space. From our proposed method, we found major differences in 17 ROIs that had shown large variation in schizophrenics. Most of these ROIs were in the frontal and the temporal lobe and only three ROIs were in the parietal and the occipital lobe. The ROIs highlighted through our proposed method could be connected with previous morphological findings on schizophrenia and it also might be considered in functional analysis. As a result, our method could provide intuitive information on group difference relevant to the overall anatomical variability in the substructural level. Thus, it could be used as a prompting system to search and examine the regions of the brain that are worthy of further precise analysis by various sub-cortical region based group studies in assessing specific patterns related to diseases. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 18, 310–324, 2008 |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1002/ima.v18:5/6 | Int. J. Imaging Systems and Technology |
Keywords | Field | DocType |
group study,normal control,group variability information,group difference,specific pattern,group specific,various group,common space,group specific probabilistic information,analytic method,specific variation factor,probabilistic pattern analysis method,spatial probabilistic distributional difference,morphology,pattern analysis,schizophrenia | Computer vision,ENCODE,Pattern recognition,Functional neuroimaging,Computer science,Pattern analysis,Human brain,Artificial intelligence,Probabilistic logic,Spatial extent,Occipital lobe,Temporal lobe | Journal |
Volume | Issue | ISSN |
18 | 5-6 | 0899-9457 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bang-Bon Koo | 1 | 5 | 1.59 |
| Jong-Min Lee | 2 | 194 | 16.44 |
| June Sic Kim | 3 | 16 | 5.40 |
| Jun Sung Park | 4 | 2 | 1.10 |
| Jun Soo Kwon | 5 | 67 | 7.79 |
| Sun I Kim | 6 | 473 | 53.77 |