Is there any incremental benefit to conducting neuroimaging and neurocognitive assessments in the diagnosis of ADHD in young children? A machine learning investigation
Given the negative trajectories of early behavior problems associated with ADHD, early diagnosis is considered critical to enable intervention and treatment. To this end, the current investigation employed machine learning to evaluate the relative predictive value of parent/teacher ratings, behavior...
Main Authors: | Ilke Öztekin, Mark A. Finlayson, Paulo A. Graziano, Anthony S. Dick |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
|
Series: | Developmental Cognitive Neuroscience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929321000578 |
Similar Items
-
Understanding and supporting the academic needs of students with ADHD
by: Jessica L. Hagaman, et al.
Published: (2016-06-01) -
Attachment and Executive Functions in ADHD Symptomatology—Independent Inputs or an Interaction?
by: Łukasz Konowałek, et al.
Published: (2020-10-01) -
The Association between Executive Functions and Body Weight/BMI in Children and Adolescents with ADHD
by: Ewa Racicka-Pawlukiewicz, et al.
Published: (2021-02-01) -
Neurocognitive Profile of Children with Attention Deficit Hyperactivity Disorders (ADHD): A comparison between subtypes.
by: Nastaran Ahmadi, et al.
Published: (2014-12-01) -
Limited usefulness of neurocognitive functioning indices as predictive markers for treatment response to methylphenidate or neurofeedback@home in children and adolescents with ADHD
by: Anna Kaiser, et al.
Published: (2024-01-01)