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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural

Zhengshi Yang¹, Xiaowei Zhuang¹, Karthik Sreenivasan¹

¹Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W. Bonneville Ave, Las Vegas, NV 89106, USA; Department of Brain Health, University of Nevada, Las Vegas, NV 89154, USA.

|September 8, 2020

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A new deep neural network, DeNN, effectively removes noise from functional MRI (fMRI) data. This advanced fMRI denoising technique improves data homogeneity and enhances the detection of brain function differences in Alzheimer's disease research.

Failed At:

2026-06-19T13:48:03.126698+00:00

Keywords:

Alzheimer's disease Artificial intelligence Deep learning Deep neural network fMRI denoising

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