التفاصيل البيبلوغرافية
العنوان: |
Table_1_Frequency-specific static and dynamic neural activity indices in children with different attention deficit hyperactivity disorder subtypes: a resting-state fMRI study.docx |
المؤلفون: |
Ran Chen, Yun Jiao, Jun-Sa Zhu, Xun-Heng Wang, Mei-Ting Zhao |
سنة النشر: |
2024 |
المجموعة: |
Frontiers: Figshare |
مصطلحات موضوعية: |
Neuroscience, Exercise Physiology, Central Nervous System, Computer Perception, Memory and Attention, Decision Making, Neurocognitive Patterns and Neural Networks, Music Therapy, attention deficit hyperactivity disorder, resting-state fMRI, ADHD subtype, frequency band, temporal dynamics |
الوصف: |
Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood. Numerous resting-state functional magnetic resonance imaging (rs-fMRI) studies in ADHD have been performed using traditional low-frequency bands (0.01–0.08 Hz). However, the neural activity patterns of frequency subbands in ADHD still require further investigation. The purpose of this study is to explore the frequency-dependent characteristics and neural activity patterns of ADHD subtypes. We selected the ADHD combined type (ADHD-C, N = 25), ADHD inattentive type (ADHD-I, N = 26) and typically developing (TD, N = 28) children from the ADHD-200 Consortium. Based on the slow-5 band (0.01–0.027 Hz) and slow-4 band (0.027–0.073 Hz), we generated static and dynamic fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) maps for each participant. A flexible-factorial analysis of variance model was performed on static and temporal dynamic rs-fMRI measurements within two subbands. Results revealed that the orbital-frontal gyrus, precuneus, superior temporal gyrus and angular gyrus were found to have obvious frequency band and group interaction effects. The intrinsic neural activity differences among three groups were more prominent in the slow-5 frequency band compared to the slow-4 band. In addition, the indices of significant interaction regions showed correlations with the progression of the disease and the features in slow-5 showed an advantageous diagnostic performance compared with those in slow-4. The results suggested the intrinsic neural activities of ADHD subtypes were frequency-dependent. The frequency-specific analysis of static and dynamic brain activity may provide a deeper understanding of neurophysiological dysfunction patterns in ADHD subtypes and provide supplementary information for assessing ADHD subtypes. |
نوع الوثيقة: |
dataset |
اللغة: |
unknown |
Relation: |
https://figshare.com/articles/dataset/Table_1_Frequency-specific_static_and_dynamic_neural_activity_indices_in_children_with_different_attention_deficit_hyperactivity_disorder_subtypes_a_resting-state_fMRI_study_docx/26525287 |
DOI: |
10.3389/fnhum.2024.1412572.s001 |
الاتاحة: |
https://doi.org/10.3389/fnhum.2024.1412572.s001 https://figshare.com/articles/dataset/Table_1_Frequency-specific_static_and_dynamic_neural_activity_indices_in_children_with_different_attention_deficit_hyperactivity_disorder_subtypes_a_resting-state_fMRI_study_docx/26525287 |
Rights: |
CC BY 4.0 |
رقم الانضمام: |
edsbas.530FD669 |
قاعدة البيانات: |
BASE |