التفاصيل البيبلوغرافية
| العنوان: |
Unveiling critical ADHD biomarkers in limbic system and cerebellum using a binary hypothesis testing approach. |
| المؤلفون: |
Chen Y; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Wang L; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Li Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Tang Y; College of Information Science and Engineering, Hohai University, Changzhou 213200, China., Huan Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China. |
| المصدر: |
Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2024 Apr 28; Vol. 21 (4), pp. 5803-5825. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: American Institute of Mathematical Sciences;; _b Beihang University Country of Publication: United States NLM ID: 101197794 Publication Model: Print Cited Medium: Internet ISSN: 1551-0018 (Electronic) Linking ISSN: 15471063 NLM ISO Abbreviation: Math Biosci Eng Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Springfield, MO, USA : [S.l.] : American Institute of Mathematical Sciences; Beihang University |
| مواضيع طبية MeSH: |
Attention Deficit Disorder with Hyperactivity*/diagnostic imaging , Attention Deficit Disorder with Hyperactivity*/metabolism , Cerebellum*/diagnostic imaging , Cerebellum*/metabolism , Limbic System*/diagnostic imaging , Limbic System*/physiopathology , Limbic System*/metabolism , Biomarkers*/metabolism , Magnetic Resonance Imaging*/methods, Humans ; Child ; Male ; Female ; Brain Mapping/methods ; Neuroimaging/methods ; Adolescent ; Algorithms ; Hippocampus/diagnostic imaging ; Hippocampus/metabolism |
| مستخلص: |
Attention deficit hyperactivity disorder (ADHD) is a common childhood developmental disorder. In recent years, pattern recognition methods have been increasingly applied to neuroimaging studies of ADHD. However, these methods often suffer from limited accuracy and interpretability, impeding their contribution to the identification of ADHD-related biomarkers. To address these limitations, we applied the amplitude of low-frequency fluctuation (ALFF) results for the limbic system and cerebellar network as input data and conducted a binary hypothesis testing framework for ADHD biomarker detection. Our study on the ADHD-200 dataset at multiple sites resulted in an average classification accuracy of 93%, indicating strong discriminative power of the input brain regions between the ADHD and control groups. Moreover, our approach identified critical brain regions, including the thalamus, hippocampal gyrus, and cerebellum Crus 2, as biomarkers. Overall, this investigation uncovered potential ADHD biomarkers in the limbic system and cerebellar network through the use of ALFF realizing highly credible results, which can provide new insights for ADHD diagnosis and treatment. |
| فهرسة مساهمة: |
Keywords: ADHD; binary hypothesis; biomarker detection; cerebellum; limbic system |
| المشرفين على المادة: |
0 (Biomarkers) |
| تواريخ الأحداث: |
Date Created: 20240614 Date Completed: 20240614 Latest Revision: 20240614 |
| رمز التحديث: |
20240614 |
| DOI: |
10.3934/mbe.2024256 |
| PMID: |
38872559 |
| قاعدة البيانات: |
MEDLINE |
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