Impact: This study demonstrates that wireless resonator pads significantly enhance SNR in 7T MRI, providing a practical approach to improve cortical sensitivity in fMRI and opening new possibilities for exploring brain activity and enhancing UHF imaging.

Impact: Resting-state fMRI revealed altered neurofluid regulation linked to brain fog in N-PASC. These findings identify a physiological marker of post-COVID cognitive symptoms and support longitudinal validation for prognostic and therapeutic applications.

Impact: This work establishes a validated open-source framework for analyzing complex patterns in fMRI data. By improving the rigor of methods that analyze long-range temporal relationships in brain activity, it supports future research linking neural dynamics to cognition and pathology.

Impact: We provide the first evidence of coupled haemodynamic and CSF dynamics in the developing human brain, shedding light on early-life mechanisms of brain waste clearance and homeostasis. This provides a framework for studying sleep-related pathophysiology in the critical neonatal period.

Impact: This study highlights resting-state fMRI connectivity patterns, particularly between salience, visual, and frontoparietal networks, underpin cognitive performance in healthy aging. These findings suggest balanced network integration and segregation support cognitive resilience and may serve as biomarkers of successful cognitive aging.

Impact: PD and PSP have similar clinical syndrome but were treated differently. Our finding suggested SVM based on radiomics features of rs-fMRI indices can effectively differentiate PD from PSP. It would help the treatment selection for PD and PSP patients.

Impact: A slice-wise standard deviation map enables semiautomatic ventricular ROI selection in EPI-based fMRI, reducing operator dependence and improving reproducibility while preserving robust task-related modulation of CSF pulsation across subjects and runs.

Impact: This research contributes to early diagnosis and prognosis assessment of depressive disorders in rheumatoid arthritis patients by clarifying neural mechanisms, providing imaging-based evidence for clinical decision-making and future intervention studies.

Impact: This study simultaneously discover the developmental trajectory of normal fetal brain activity and connectivity, which deepens our understanding of the normal fetal brain functional development , especially the development of the thalamus, and provide a foundation for early abnormality detection.