![Using Brainwave Patterns to Predict and Understand Psychiatric Disorders Using Brainwave Patterns to Predict and Understand Psychiatric Disorders](/sites/default/files/styles/large/public/field/image/baby-playing-with-blocks-1440.jpg?itok=c6fC0D-r)
Using a well-understood, inexpensive and easy-to-deploy technology called electroencephalography, or EEG, as well as related technologies that also measure the activity of cells in the brain,…
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![Hyperactivity in Two Wide-Ranging Neural Networks is Discovered in Schizophrenia Patients Hyperactivity in Two Wide-Ranging Neural Networks is Discovered in Schizophrenia Patients](/sites/default/files/styles/large/public/field/image/depressed-woman-on-couch-looking-out-window_0.jpg?itok=xA3mSGWJ)
A new study of 139 people with schizophrenia has discovered widespread hyperconnectivity in neural networks that span a number of key brain regions. The affected regions include those involved in…
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![Identifying Brain Connectivity Changes in Combat Veterans with PTSD](/sites/default/files/styles/large/public/field/image/abstractfuturisticlinesdotsgridintertwiningweb-1440.jpg?itok=hoHU2kwY)
Post-traumatic stress disorder (PTSD), which affects about 7% of American adults, is much more common in combat veterans. Like others with PTSD, combat vets with the disorder experience intrusive…
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![Brain-wave EEG Signature Robustly Predicted Antidepressant Response Brain-wave EEG Signature Robustly Predicted Antidepressant Response](/sites/default/files/styles/large/public/field/image/brainnetworkrenderonwhitebackground-1440_1.jpg?itok=UiEZ1V-0)
Researchers have reported an important step forward in the search for objective biology-based markers on which to base treatment decisions for depression.
Amit Etkin, M.D., Ph.D., and Madhukar…
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![a potential biomarker that may be able to distinguish during the first year of life which infants are likely to develop autism spectrum disorder (ASD)](/sites/default/files/styles/large/public/field/image/baby-photo-1440.png?itok=msFyBWzC)
A team of Harvard researchers has identified a potential biomarker that may be able to distinguish during the first year of life which infants are likely to develop autism spectrum disorder (ASD).
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