is powerful AI software that will help to do EEG-based depression screening faster and in more reliable way.
Effective, non-invasive method of studying a patient’s brain activity.
Recent studies have demonstrated that different EEG signals and their combinations can be used as biomarkers
for depression with up accuracy: 90%
However, psychiatrists are rarely trained in how to run an EEG test or analyze the collected data.
Current approachCheck how clinicians do now
Currently, in the majority of mental health clinics, psychiatrists diagnose depression based on Diagnostic and Statistical Manual of Mental Disorders (DSM-5) diagnostic criteria or by using other self-reported measures that are prone to the subjectivity of both professionals and patients. This diagnosis method, as well as an absence of methods based on analysis of depression biomarkers, often leads to misdiagnosis and inadequate treatment; it also makes it impossible to accurately monitor pharmacological treatment outcome
Depression Treatment: Part 3 – Antidepressants
The advent of antidepressant medication was somewhat fortuitous. The first of these drugs was discovered accidentally during the aftermath of World War II. The V-2 rocket, developed in Germany, used hydrazine as one of its fuels. Subsequently, the end of the wMore details
Depression Treatment: Part 2 – Cognitive Behavior Therapy
While Freud pioneered the development of psychotherapy in the Western world, psychotherapy underwent many iterations before the advent of cognitive behavior therapy in the 1960s, eventually becoming a widely utilized treatment for depression. Central to cognitMore details
Depression Treatment: Part 1
Early practices around depression treatment arose from ancient Greeks’ perception that mental disorders were the result of angry gods taking revenge on helpless humans. As a result, people would seek healing through rituals involving magic and religion as weMore details