The macro-connectome elucidates the pathways through which brain regions are
structurally connected or functionally coupled to perform a specific cognitive task. It …

Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …

Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently
develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid …

Convolutional neural networks (CNNs) have recently led to incredible breakthroughs on a
variety of pattern recognition problems. Banks of finite-impulse response filters are learned …

Brain age estimation from anatomical features has been attracting more attention in recent
years. This interest in brain age estimation is motivated by the importance of biological age …

Recent resting-state functional MRI investigations have demonstrated that much of the large-
scale functional network architecture supporting motor, sensory and cognitive functions in …

Infancy is a critical period for the human brain development, and brain age is one of the
indices for the brain development status associated with neuroimaging data. The difference …

Brain age prediction based on neuroimaging data could help characterize both the typical
brain development and neuropsychiatric disorders. Pattern recognition models built upon …

The ability to make individual-level predictions from neuroanatomy has the potential to be
particularly useful in child development. Previously, resting-state functional connectivity …

Normal aging is related to a decline in specific cognitive processes, in particular in executive
functions and memory. In recent years a growing number of studies have focused on …