Neural oscillations were established with their association with neurophysiological activities
and the altered rhythmic patterns are believed to be linked directly to the progression of …

Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …

Network neuroscience employs graph theory to investigate the human brain as a complex
network, and derive generalizable insights about the brain's network properties. However …

The human brain is a complex system, whose activity exhibits flexible and continuous
reorganization across space and time. The decomposition of whole-brain recordings into …

Objective We performed a systematic literature review on Subjective Cognitive Decline
(SCD) in order to examine whether the resemblance of brain connectome and functional …

Importance Neurodevelopmental conditions, such as autism spectrum disorder (ASD),
attention-deficit/hyperactivity disorder (ADHD), and obsessive-compulsive disorder (OCD) …

Aging is associated with gradual changes in cognition, yet some individuals exhibit
protection against age-related cognitive decline. The topological characteristics of brain …

Abstract Traumatic Brain Injury (TBI) is a frequently occurring condition and approximately
90% of TBI cases are classified as mild (mTBI). However, conventional MRI has limited …

Introduction: Mild traumatic brain injury (mild TBI) exhibited abnormal brain network
topologies associated with cognitive dysfunction. However, it was still unclear which aspects …

Our work aimed to demonstrate the combination of machine learning and graph theory for
the designing of a connectomic biomarker for mild cognitive impairment (MCI) subjects using …