Abstract In the recent 5 years (2014–2018), there has been growing interest in the use of
machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic …

Background Every year, more than fifteen million people worldwide experience a stroke,
nearly 30% of stroke survivors are likely to experience post-stroke depression (PSD) …

Schizophrenia is a severe psychiatric disorder associated with both structural and functional
brain abnormalities. In the past few years, there has been growing interest in the application …

Although recent structural connectivity studies of traumatic brain injury (TBI) have used
graph theory to evaluate alterations in global integration and functional segregation, pooled …

Despite changes in guideline-based management of moderate/severe traumatic brain injury
(TBI) over the preceding decades, little impact on mortality and morbidity have been seen …

The patient who sustains a traumatic brain injury (TBI) typically undergoes neuroimaging
studies, usually in the form of computed tomography (CT) and magnetic resonance imaging …

Traumatic brain injury (TBI) is often characterized by alterations in brain connectivity. We
explored connectivity alterations from a network perspective, using graph theory, and …

Given the subjective nature of conventional diagnostic methods for post-traumatic stress
disorder (PTSD), an objectively measurable biomarker is highly desirable; especially to …

The purpose of this article is to review conventional and advanced neuroimaging techniques
performed in the setting of traumatic brain injury (TBI). The primary goal for the treatment of …

Head computed tomography (CT) is the gold standard in emergency departments (EDs) to
evaluate mild traumatic brain injury (mTBI) patients, especially for paediatrics. Data-driven …