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

By SharpBrains | February 18, 2020

– 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…

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

By Dr. Evian Gordon | February 20, 2012

(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%…

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