In this work we develop an algorithm to find the subtypes within the healthy control population from their magnetic resonance images obtained during the rest inside the scanner
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Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
Mar 12, 2020
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
Resting state frequency magnetic resonance imaging Neuroscience Subtypes Big Data Analysis Smoking Alcohol Marijuana Illicit Drugs Antisocial Personality Disorder
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Mar 12, 2020 - Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
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Kashyap_et_al-2019-Human_Brain_Mapping.pdf
Kashyap_et_al-2019-Human_Brain_Mapping.pdf
Mar 12, 2020 - Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
Adobe PDF - 5.6 MB - MD5: a4fea3f6625fc953a107e907ee3d0c70
Kashyap_et_al-2020-Human_Brain_Mapping.pdf
Kashyap_et_al-2020-Human_Brain_Mapping.pdf
Mar 12, 2020 - Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
Adobe PDF - 4.6 MB - MD5: 01cc473f531b3870c9cc2b7841d4811f
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