Researchers have recently found a way to measure neural signals across regions of the brain that decode patterns that represent a person’s current mood. They did this by using the intracranial electrodes already inserted in seven patients who have epileptic seizures. They tracked brain signals across the electrodes and asked the patients to report mood symptoms. From this they developed a decoder that will predict mood variations over time based on brain signals.
Their hope is that from these findings a closed loop system can be developed to treat individuals with depression and anxiety who are treatment resistant to SSRIs, other medications, and standard therapies. This closed loop system would in theory be able to stimulate the appropriate neural regions of the brain needed to affect mood in a positive way in real time.
They think this decoding technology could even be useful for other conditions that are not localized to one area of the brain and are spread out through various regions like depression and anxiety are. Some examples include chronic pain, addiction, and post-traumatic stress disorder.