Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality (doi:10.21979/N9/8EQNY1)

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Part 2: Study Description
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Document Description

Citation

Title:

Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality

Identification Number:

doi:10.21979/N9/8EQNY1

Distributor:

DR-NTU (Data)

Date of Distribution:

2020-03-12

Version:

1

Bibliographic Citation:

Kashyap, Rajan; Bhattacharjee, Sagarika; Yeo, B. T. Thomas; Chen, S. H. Annabel, 2020, "Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality", https://doi.org/10.21979/N9/8EQNY1, DR-NTU (Data), V1

Study Description

Citation

Title:

Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality

Identification Number:

doi:10.21979/N9/8EQNY1

Authoring Entity:

Kashyap, Rajan (Nanyang Technological University)

Bhattacharjee, Sagarika (Nanyang Technological University)

Yeo, B. T. Thomas (National University of Singapore)

Chen, S. H. Annabel (Nanyang Technological University)

Software used in Production:

Matlab

Grant Number:

Start‐Up Grant NTU‐SUG

Grant Number:

CBRG/0088/2015

Grant Number:

Fellowship Class of 2017

Distributor:

DR-NTU (Data)

Access Authority:

Rajan, Kashyap

Depositor:

Rajan, Kashyap

Date of Deposit:

2020-03-12

Holdings Information:

https://doi.org/10.21979/N9/8EQNY1

Study Scope

Keywords:

Computer and Information Science, Medicine, Health and Life Sciences, Computer and Information Science, Medicine, Health and Life Sciences, Neuroscience, Computational Neuroscience, Big Data, Resting state fMRI

Topic Classification:

Classification, Subtypes

Abstract:

Resting state frequency magnetic resonance imaging Neuroscience Subtypes Big Data Analysis Smoking Alcohol Marijuana Illicit Drugs Antisocial Personality Disorder

Kind of Data:

Open source data - Human Connectome Project

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Studies

Code can be downloaded from: <a href="https://github.com/ClinicalBrainLab/Maximizing_Dissimilarity_in_fMRI ">https://github.com/ClinicalBrainLab/Maximizing_Dissimilarity_in_fMRI </a>

Related Publications

Citation

Identification Number:

10.1002/hbm.24873

Bibliographic Citation:

Kashyap, R., Bhattacharjee, S., Yeo, B. T., & Chen, S. A. (2020). Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality. Human Brain Mapping, 41(5), 1261-1273.

Other Study-Related Materials

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Cover_legend.docx

Notes:

application/vnd.openxmlformats-officedocument.wordprocessingml.document

Other Study-Related Materials

Label:

Kashyap_et_al-2019-Human_Brain_Mapping.pdf

Notes:

application/pdf

Other Study-Related Materials

Label:

Kashyap_et_al-2020-Human_Brain_Mapping.pdf

Notes:

application/pdf