strcutural network in sz and bd
Main Author: | Molina, Vicente |
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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 |
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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 |
recordtype |
dc |
_version_ |
1686587762061344768 |
score |
17.538404 |