PMID- 33019218
OWN - NLM
STAT- MEDLINE
DCOM- 20201026
LR  - 20201026
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2020
DP  - 2020 Jul
TI  - Learning a Phenotypic-Attribute Attentional Brain Connectivity Embedding for ADHD 
      Classification using rs-fMRI.
PG  - 5472-5475
LID - 10.1109/EMBC44109.2020.9175789 [doi]
AB  - Automated diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) from 
      brain's functional imaging has gained more interest due to its high prevalence 
      rates among children. While phenotypic information, such as age and gender, is 
      known to be important in diagnosing ADHD and critically affects the 
      representation derived from fMRI brain images, limited studies have integrated 
      phenotypic information when learning discriminative embedding from brain imaging 
      for such an automatic classification task. In this work, we propose to integrate 
      age and gender attributes through attention mechanism that is jointly optimized 
      when learning a brain connectivity embedding using convolutional variational 
      autoencoder derived from resting state functional magnetic resonance imaging 
      (rs-fMRI) data. Our proposed framework achieves a state-of-the-art average of 
      86.22% accuracy in ADHD vs. typical develop control (TDC) binary classification 
      task evaluated across five public ADHD-200 competition datasets. Furthermore, our 
      analysis points out that there are insufficient linked connections to the brain 
      region of precuneus in the ADHD group.
FAU - Gao, Ming-Shan
AU  - Gao MS
FAU - Tsai, Fu-Sheng
AU  - Tsai FS
FAU - Lee, Chi-Chun
AU  - Lee CC
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Attention
MH  - *Attention Deficit Disorder with Hyperactivity/diagnostic imaging
MH  - Brain/diagnostic imaging
MH  - Brain Mapping
MH  - Child
MH  - Humans
MH  - *Magnetic Resonance Imaging
EDAT- 2020/10/07 06:00
MHDA- 2020/10/27 06:00
CRDT- 2020/10/06 01:06
PHST- 2020/10/06 01:06 [entrez]
PHST- 2020/10/07 06:00 [pubmed]
PHST- 2020/10/27 06:00 [medline]
AID - 10.1109/EMBC44109.2020.9175789 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5472-5475. doi: 
      10.1109/EMBC44109.2020.9175789.