strcutural network in sz and bd

Main Author: Molina, Vicente
Other Authors: Lubeiro, Alba, de Luis, Rodrigo
Format: Dataset
Terbitan: Mendeley , 2018
Subjects:
Online Access: https:/data.mendeley.com/datasets/y93pffg4zd
ctrlnum 0.17632-y93pffg4zd.1
fullrecord <?xml version="1.0"?> <dc><creator>Molina, Vicente</creator><title>strcutural network in sz and bd</title><publisher>Mendeley</publisher><description>We have calculated structural network connectivity values derived from graph theory. We have used SW values to assess specificity (compariosn between Sz and bipolar patients), chronicity (comparison between FE and chronic SZ patients) and treatment (correlation with AP doses and comparison between BD patients exposed or not to AP). </description><subject>Biological Psychiatry</subject><subject>Schizophrenia</subject><subject>Connectivity Imaging</subject><contributor>Lubeiro, Alba</contributor><contributor>de Luis, Rodrigo</contributor><type>Other:Dataset</type><identifier>10.17632/y93pffg4zd.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/y93pffg4zd</relation><date>2018-10-11T15:19:34Z</date><recordID>0.17632-y93pffg4zd.1</recordID></dc>
format Other:Dataset
Other
author Molina, Vicente
author2 Lubeiro, Alba
de Luis, Rodrigo
title strcutural network in sz and bd
publisher Mendeley
publishDate 2018
topic Biological Psychiatry
Schizophrenia
Connectivity Imaging
url https:/data.mendeley.com/datasets/y93pffg4zd
contents We have calculated structural network connectivity values derived from graph theory. We have used SW values to assess specificity (compariosn between Sz and bipolar patients), chronicity (comparison between FE and chronic SZ patients) and treatment (correlation with AP doses and comparison between BD patients exposed or not to AP).
id IOS7969.0.17632-y93pffg4zd.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:31:29Z
last_indexed 2020-04-08T08:31:29Z
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