Differentiating Functional Connectivity Patterns in ADHD and Autism Among the Young People: A Machine Learning Solution
These results contribute to our understanding of the distinct neural signatures underlying ADHD and autism in terms of intrinsic patterns of brain connectivity. The high level of discriminability between ADHD and autism, highlights the potential role of brain based metrics in supporting differential diagnostics.
Authors
- Jan R. Wiersema (ORCID: https://orcid.org/0000-0001-5875-2051)
- Herbert Roeyers (ORCID: https://orcid.org/0000-0002-4895-583X)
- Sami Çamkerten (ORCID: https://orcid.org/0000-0001-8924-9483)
- Ozan Cem Öztürk (ORCID: https://orcid.org/0000-0002-5488-1670)
- Bernis Sütçübaşı (ORCID: https://orcid.org/0000-0002-7796-1841)
- Barış Metin (ORCID: https://orcid.org/0000-0003-1626-058X)
- Tuğçe Ballı (ORCID: https://orcid.org/0000-0002-6509-3725)
- Edmund Sonuga‐Barke (ORCID: https://orcid.org/0000-0002-6996-3935)
Institutions
- Üsküdar University (TR)
- Kadir Has University (TR)
- King's College London (GB)
- Ghent University Hospital (BE)
- Acıbadem University (TR)
- Istinye University (TR)
Publication Details
- Journal
- Journal of Attention Disorders
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1177/10870547251315230
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43