The dorsal frontoparietal network (dFPN) of the human brain assumes a puzzling variety of
functions, including motor planning and imagery, mental rotation, spatial attention, and …

Relating the brain's structural connectivity (SC) to its functional connectivity (FC) is a
fundamental goal in neuroscience because it is capable of aiding our understanding of how …

As an early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) is able to be
detected by analyzing the brain connectivity networks. For this reason, we devise a new …

In this work, we show how permutation methods can be applied to combination analyses
such as those that include multiple imaging modalities, multiple data acquisitions of the …

Brain functional connectivity (FC) extracted from resting‐state fMRI (RS‐fMRI) has become a
popular approach for diagnosing various neurodegenerative diseases, including …

Since its inception in 1992, Functional Magnetic Resonance Imaging (fMRI) has become an
indispensible tool for studying cognition in both the healthy and dysfunctional brain. FMRI …

Accurate estimates of the BOLD hemodynamic response function (HRF) are crucial for the
interpretation and analysis of event-related functional MRI data. To date, however, there …

abstract Multimodal fusion of different types of neural image data provides an irreplaceable
opportunity to take advantages of complementary cross-modal information that may only …

Early mild cognitive impairment (EMCI) is an early stage of MCI, which can be detected by
brain connectivity networks. To detect EMCI, we design a novel framework based on multi …

Recently, the study of multi-modal brain connectome has recorded a tremendous increase
and facilitated the diagnosis of brain disorders. In this paradigm, functional and structural …