The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using networks assessed the integrity by means size flexibility largest multilayer module. As a first step, we constrained parameter selection newly developed benchmark fo...

Brain stroke discovery remains one of the foremost critical investigation zones in restorative imaging. A brain can be classified into two primary categories Ischemic and Haemorrhagic. Imaging technology detects strokes early. When it comes to imaging, American College Radiology persistently overhauls its rules for imaging pathways through ACR Fittingness Criteria. There are a few prevalent met...

Using machine learning methods to estimate brain effective connectivity networks from functional magnetic resonance imaging (fMRI) data has garnered significant attention in the fields of neuroinformatics and bioinformatics. However, existing usually require retraining model for each subject, which ignores knowledge shared across subjects. In this paper, we propose a novel framework estimating ...

Pain is a subjective feeling having sensory, cognitive and emotional components. Brain regions that cognitively affectively contribute to pain sensation are the anterior cingulate cortex (ACC), insula, prefontal (PFC) default mode network (DMN). Depression anxiety may accompany they exaggerate via affective disturbance. As complementary treatment of pain, mindfulness meditation which therapeuti...

Background: Autism Spectrum Disorder (ASD) occurs based on the continuous deficit in a person’s verbal skills, visual, auditory, touch, and social behavior. Over the last two decades, one of the most important approaches in studying brain functions in autistic persons is using functional Magnetic Resonance Imaging (fMRI). Objectives: It is common to use all brain regions in functional extracti...

Pattern-information fMRI (pi-fMRI) has become a popular method in neuroscience. The technique is motivated by the idea that spatial patterns of fMRI activity reflect the neuronal population codes of perception, cognition, and action. In this commentary, we discuss three fundamental outstanding questions: (1) What is the relationship between neuronal patterns and fMRI patterns? (2) Does pattern-...

As a promising noninvasive imaging technique, functional MRI (fMRI) has been extensively adopted as a functional localization procedure for surgical planning. However, the information provided by preoperative fMRI (pre-fMRI) is hampered by the brain deformation that is secondary to surgical procedures. Therefore, intraoperative fMRI (i-fMRI) becomes a potential alternative that can compensate f...

Functional magnetic resonance imaging (fMRI) of awake and unrestrained dogs (Canis familiaris) has been established as a novel opportunity for comparative neuroimaging, promising important insights into the evolutionary roots human brain function cognition. However, data processing analysis pipelines are often derivatives methodological standards developed which may be problematic due to profou...

Brain–computer interface (BCI)-guided robot-assisted training strategy has been increasingly applied to stroke rehabilitation, while few studies have investigated the neuroplasticity change and functional reorganization after intervention from multimodality neuroimaging perspective. The present study aims investigate hemodynamic electrophysical changes induced by BCI using magnetic resonance im...