For the past decades, scientific research has generated significant amounts of statistics and data to understand how the human brain functions, how we are capable of thinking, how the brain can learn, and what happens to the brain when it meets an accident or an injury. Brain-related research also focuses largely on how to diagnose and treat mental ailments that occur in millions across the globe, including schizophrenia, anxiety disorders, and depression.

Innovative and advanced equipment and technologies, such as the functional magnetic resonance imaging (MRI), have aided in grasping a concrete understanding of real-time brain activity and functioning, along with the progression of mental ailments.

However, despite all the advancements made by medical research and technology, there is still a great deal we still need to understand about the human brain. For instance, we need to understand why some people tend to be depressed while others do not. Do mental ailments occur because of genetic predispositions?

Do brain dysfunctions, such as anxiety disorder or depression, have some kind of associated because often tend to accompany one another as symptoms. Moreover, can it be that all the brain disorders are somehow associated with one another, and it that is true, if a patient has one brain disorder, does he or she have a greater likelihood of suffering from other brain disorders as well?

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A ground-breaking new research paper, titled “Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion”, and published in Nature Communications offer some answers to these largely debated inquiries into the human brain. This study was conducted by Vince Calhoun, the president of the Mind Research Network (MRN), and Jing Sui, and they attempted to examine the factors associated with cognitive impairment.

This study included various researchers from China and the United States, and it attempted to provide insight into the mechanisms that trigger cognitive impairment, which is a commonly occurring symptom of various psychiatric disorders, such as schizophrenia. The study adopted a very unique method of interpreting their data. Instead of focusing on just one kind of brain scan, which usually tends to be a traditional MRI scan, the researchers combined the date using an innovative process, termed as the multimodal data fusion.

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