Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks - Scorecard - MDSpire

Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks

  • By

  • Nanfang Pan

  • Yajing Long

  • Kun Qin

  • Isaac Z. Pope

  • Qiuxing Chen

  • Ziyu Zhu

  • Ying Cao

  • Lei Li

  • Manpreet K. Singh

  • Robert K. McNamara

  • Melissa P. DelBello

  • Ying Chen

  • Alex Fornito

  • Qiyong Gong

  • May 1, 2026

  • 0 min

Share

Clinical Scorecard: Characterizing ADHD Variability and Subtypes Through Topological Differences in Morphometric Similarity Networks

At a Glance

CategoryDetail
ConditionAttention-deficit/hyperactivity disorder (ADHD)
Key MechanismsNeurobiological heterogeneity characterized by morphometric similarity networks (MSNs) and hub organization of brain regions.
Target PopulationChildren aged 6 to 18 years diagnosed with ADHD.
Care SettingMultisite clinical research settings.

Key Highlights

  • ADHD presents considerable clinical heterogeneity beyond DSM-5 classifications.
  • Data-driven clustering may identify distinct neurobiological biotypes.
  • Morphometric similarity networks provide a framework for understanding brain alterations in ADHD.

Guideline-Based Recommendations

Diagnosis

  • Utilize normative modeling and morphometric similarity networks to assess ADHD.

Management

  • Consider individualized treatment approaches based on identified neurobiological profiles.

Monitoring & Follow-up

  • Regularly assess brain morphology and behavioral symptoms to track ADHD progression.

Risks

  • Failure to recognize neurobiological diversity may lead to inadequate treatment strategies.

Patient & Prescribing Data

Children with ADHD aged 6 to 18 years, excluding left-handed individuals.

Neuroimaging-derived biomarkers may inform personalized treatment plans.

Clinical Best Practices

  • Incorporate neuroimaging metrics in ADHD assessments.
  • Use data-driven approaches for subtype identification to enhance clinical decision-making.

References

Original Source(s)

Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks

  • by Nanfang Pan, Yajing Long, Kun Qin, Isaac Z. Pope, Qiuxing Chen, Ziyu Zhu, Ying Cao, Lei Li, Manpreet K. Singh, Robert K. McNamara, Melissa P. DelBello, Ying Chen, Alex Fornito, Qiyong Gong

  • May 1, 2026

Related Content

NPs Top US Jobs List Again

The nurse practitioner profession claims the No. 1 spot across three categories in the U.S. News & World Report 2026 Best Jobs rankings for the third consecutive year.

Mental Health Content Accuracy Varies

Researchers found misinformation rates ranged from 0% to 57% across platforms and topics, with higher rates reported in several TikTok studies compared with YouTube.

FDA Monthly Preview: Key April Decisions to Watch

Several high-stakes FDA decisions across multiple specialties are expected this month.