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Abstract Healthy brain dynamics evolve in the direction far from thermodynamic equilibrium. The temporal asymmetry nature recently has been described in several normal and pathological brain states. However, whether the temporal asymmetry of spontaneous brain activity is affected by Major Depression Disorders (MDD) remains unknown. Resting-state fMRI data from 178 MDD patients and 205 healthy controls (HCs) were analyzed.
The imaging quality of single-pixel spectral imaging (SSI) methods is poor at a low sampling ratio (SR). To tackle this problem, a new Fourier single-pixel spectral imaging (FSSI) technique is proposed. Firstly, we introduce the low-rank tensor nuclear norm (TNN) to characterize the correlation between spectral images. Compared with the conventional method, TNN reconstructs image details better but brings image artifacts simultaneously.
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