Functional imaging derived ADHD biotypes based on deep clustering: a study on personalized medication therapy guidance
2024

ADHD Biotypes and Personalized Medication

Sample size: 1199 publication 10 minutes Evidence: high

Author Information

Author(s): Feng Aichen, Zhi Dongmei, Feng Yuan, Jiang Rongtao, Fu Zening, Xu Ming, Zhao Min, Yu Shan, Stevens Michael, Sun Li, Calhoun Vince, Sui Jing

Primary Institution: Peking University Sixth Hospital

Hypothesis

Identifying neuroimaging markers for ADHD biotypes can lead to more personalized treatment approaches.

Conclusion

The study identified two ADHD biotypes that differ in cognitive performance and treatment response, suggesting a potential for personalized medication strategies.

Supporting Evidence

  • Two ADHD biotypes were identified with significant differences in cognitive abilities.
  • Biotype 1 showed better recovery rates when treated with methylphenidate compared to atomoxetine.
  • Functional connectivity patterns were consistent across two independent datasets.

Takeaway

There are different types of ADHD, and knowing which type someone has can help doctors choose the best medicine for them.

Methodology

The study used a graph convolution network to analyze functional imaging and phenotypic data from ADHD patients to identify biotypes.

Potential Biases

Potential biases may arise from the selection of participants and the reliance on self-reported measures.

Limitations

The study's findings may not be generalizable due to differences in the datasets used and the limited number of patients receiving medication.

Participant Demographics

Participants included 1069 ADHD patients from the ABCD study and 130 ADHD patients from Peking University, aged 9-15.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.eclinm.2024.102876

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