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Novel subgroups of attention-deficit/hyperactivity disorder identified by topological data analysis and their functional network modular organizations.

Authors
 Sunghyon Kyeong  ;  Jae-Jin Kim  ;  Eunjoo Kim 
Citation
 PLOS ONE, Vol.12(8) : e0182603, 2017 
Journal Title
 PLOS ONE 
Issue Date
2017
MeSH
Adolescent ; Attention Deficit Disorder with Hyperactivity/physiopathology ; Child ; Female ; Humans ; Male
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous condition and identification of clinically meaningful subgroups would open up a new window for personalized medicine. Thus, we aimed to identify new clinical phenotypes in children and adolescents with ADHD and to investigate whether neuroimaging findings validate the identified phenotypes. Neuroimaging and clinical data from 67 children with ADHD and 62 typically developing controls (TDCs) from the ADHD-200 database were selected. Clinical measures of ADHD symptoms and intelligence quotient (IQ) were used as input features into a topological data analysis (TDA) to identify ADHD subgroups within our sample. As external validators, graph theoretical measures obtained from the functional connectome were compared to address the biological meaningfulness of the identified subtypes. The TDA identified two unique subgroups of ADHD, labelled as mild symptom ADHD (mADHD) and severe symptom ADHD (sADHD). The output topology shape was repeatedly observed in the independent validation dataset. The graph theoretical analysis showed a decrease in the degree centrality and PageRank in the bilateral posterior cingulate cortex in the sADHD group compared with the TDC group. The mADHD group showed similar patterns of intra- and inter-module connectivity to the sADHD group. Relative to the TDC group, the inter-module connectivity between the default mode network and executive control network were significantly increased in the sADHD group but not in the mADHD group. Taken together, our results show that the data-driven TDA is potentially useful in identifying objective and biologically relevant disease phenotypes in children and adolescents with ADHD.
DOI
10.1371/journal.pone.0182603
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Kyeong, Sung Hyon(경성현)
Kim, Eun Joo(김은주) ORCID logo https://orcid.org/0000-0003-3061-2051
Kim, Jae Jin(김재진) ORCID logo https://orcid.org/0000-0002-1395-4562
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160679
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