Author

Keith M. Kendrick

3 papers indexed here

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Open access Sep 2026

Frequency-specific gyro-sulcal functional differentiation in preterm neonates: Sulcal dominance and gene expression correlates

Preterm birth affects up to 10.6% of neonates and increases neurodevelopmental risks, yet functional brain alterations remain poorly understood. Using resting-state fMRI data from 437 neonates and a one-dimensional convolutional neural network, this study investigated frequency-specific functional differences between g...

Wei Mao, Xun Ou, Wen-Xuan Huang et al. · Developmental Cognitive Neur... · 0 citations

Sep 2026

FL-SEHGT: Federated Learning-Based Heterogeneous Graph Transformer with Squeeze-and-Excitation for ASD Identification.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with widespread functional brain changes. Although deep learning has advanced computer-aided diagnosis of ASD using neuroimaging data, three key challenges remain: limited classification accuracy due to inadequate feature extraction, underexplor...

Ye-Peng Zhang, Yu-Zhong Chen, Hai-Lin Sun et al. · Neural Networks · 0 citations

Aug 2026

ToPPFed: Topological Prototype-Enhanced Personalized Federated Learning for Neuropsychiatric Disorders Identification.

Functional connectivity networks (FCNs) derived from functional magnetic resonance imaging (fMRI) have been widely used to characterize topological alterations of brain networks in neuropsychiatric disorders (NDs). Given the frequent restrictions on direct multi-site fMRI data sharing, federated learning (FL) offers a...

Yuxuan Zheng, Zifeng Jia, Zihao Guan et al. · IEEE Transactions on Medical... · 0 citations