sertraline

Machine-learning study finds EEG brain signatures that predict response to antidepressant treatments

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Brain-wave pat­tern can iden­ti­fy peo­ple like­ly to respond to anti­de­pres­sant, study finds (Stan­ford Med­i­cine press release):

“A new method of inter­pret­ing brain activ­i­ty could poten­tial­ly be used in clin­ics to help deter­mine the best treat­ment options for depres­sion, accord­ing to a study led by researchers at the Stan­ford School of Medicine.

Stan­ford researchers and their col­lab­o­ra­tors used elec­troen­cephalog­ra­phy, a tool for mon­i­tor­ing elec­tri­cal activ­i­ty in the brain, and an algo­rithm to iden­ti­fy a brain-wave sig­na­ture in [Read more…] about Machine-learn­ing study finds EEG brain sig­na­tures that pre­dict response to anti­de­pres­sant treatments

Personalized Medicine in Psychiatry: from DSM to brain-based RDoC, iSPOT‑D and biomarkers

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(Edi­tor’s Note: this is Part 2 of the new 3‑part series writ­ten by Dr. Evian Gor­don draw­ing from his par­tic­i­pa­tion at the Per­son­al­ized Med­i­cine World Con­gress on Jan­u­ary, 23, 2012 at Stan­ford University.)

Most Per­son­al­ized Med­i­cine research in Psy­chi­a­try using mol­e­c­u­lar mea­sures alone have failed to repli­cate. Whilst dis­ap­point­ing, this is not sur­pris­ing, since 80% of human 25,000 genes have some effect on the brain.

There are there­fore grow­ing efforts expand­ing Genom­ic Bio­mark­ers in Psy­chi­a­try to Neu­roimag­ing (all Brain-based bio­log­i­cal and cog­ni­tive mea­sures). Some approach­es tar­get [Read more…] about Per­son­al­ized Med­i­cine in Psy­chi­a­try: from DSM to brain-based RDoC, iSPOT‑D and biomarkers