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author:

Wang, Fengqin (Wang, Fengqin.) [1] | Ke, Hengjin (Ke, Hengjin.) [2] | Ma, Hongyin (Ma, Hongyin.) [3] | Tang, Yunbo (Tang, Yunbo.) [4]

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Abstract:

Temporal-frequency characteristics in fMRI data are key to distinguishing Autism Spectrum Disorder (ASD) from neurotypical individuals. However, the non-linearity and multidimensionality of fMRI data pose significant challenges. To address these, we introduce a Deep Non-linear Factorization method with a Wavelet Temporal-Frequency Attention module (Deep WTFAF) tailored for multidimensional fMRI analysis. By leveraging the wavelet domain, our approach applies temporal-frequency attention to assign weights to significant features, enhancing critical data while reconstructing incomplete fMRI data. This method enables deep non-linear factorization and effective feature representation for subsequent classification tasks. Validated on ASD-related fMRI datasets, Deep WTFAF outperforms traditional methods, maintaining essential information and ensuring robustness against high-dimensional and incomplete data. Stability theory proof further confirms the model's reliability, crucial for clinical applications like neurological disorder classification. © 2025 Elsevier Ltd

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Community:

  • [ 1 ] [Wang, Fengqin]School of physics and electronic science, Hubei Normal University, Hubei, Huangshi; 435002, China
  • [ 2 ] [Ke, Hengjin]Computer School (Huangshi Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence), Hubei Polytechnic University, Hubei, Huangshi; 435003, China
  • [ 3 ] [Ke, Hengjin]School of Computer Science, Wuhan University, Hubei, Wuhan; 430072, China
  • [ 4 ] [Ma, Hongyin]Medical School, Hubei Polytechnic University, Hubei, Huangshi; 435003, China
  • [ 5 ] [Tang, Yunbo]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350108, China

Reprint 's Address:

  • [ke, hengjin]computer school (huangshi key laboratory of computational neuroscience and brain-inspired intelligence), hubei polytechnic university, hubei, huangshi; 435003, china;;[ke, hengjin]school of computer science, wuhan university, hubei, wuhan; 430072, china;;

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Source :

Pattern Recognition

ISSN: 0031-3203

Year: 2025

Volume: 165

7 . 5 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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