Three-dimensional stereotactic surface projection in the statistical analysis of single photon emission computed tomography data for distinguishing between Alzheimer’s disease and depression

doi:10.5498/wjp.v7.i2.121

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 7, Issue 2

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (8380)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-5) series, Tables (1-2) series.

Item

Count

PDF

399

WORD

397

HTML

3612

Figures (1-5)

325

Tables (1-2)

324

Sum=5057

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

1236

Download

2087

Sum=3323

Jun 22, 2017 (publication date) through Nov 8, 2024

Times Cited of This Article

Times Cited (11)

Journal Information of This Article

Publication Name

World Journal of Psychiatry

ISSN

2220-3206

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Observational Study

World J Psychiatr. Jun 22, 2017; 7(2): 121-127
Published online Jun 22, 2017. doi: 10.5498/wjp.v7.i2.121

Full Size Figure Download Figure

Figure 3 Correlations between Clinical Global Impression-Severity scale scores and the maximum Z scores of depression-associated regions. The CGI-S scores correlated significantly with the maximum Z-scores of depression-associated regions. CGI: Clinical Global Impression.

Citation: Kirino E. Three-dimensional stereotactic surface projection in the statistical analysis of single photon emission computed tomography data for distinguishing between Alzheimer’s disease and depression. World J Psychiatr 2017; 7(2): 121-127
URL: https://www.wjgnet.com/2220-3206/full/v7/i2/121.htm
DOI: https://dx.doi.org/10.5498/wjp.v7.i2.121