  In this paper, we aimed at reviewing several different approaches present
today in the search for more accurate diagnostic and treatment management in
mental healthcare. Our focus is on mood disorders, and in particular on the
major depressive disorder (MDD). We are reviewing and discussing findings based
on neuroimaging studies (MRI and fMRI) first to get the impression of the body
of knowledge about the anatomical and functional differences in depression.
Then, we are focusing on less expensive data-driven approach, applicable for
everyday clinical practice, in particular, those based on
electroencephalographic (EEG) recordings. Among those studies utilizing EEG, we
are discussing a group of applications used for detecting of depression based
on the resting state EEG (detection studies) and interventional studies (using
stimulus in their protocols or aiming to predict the outcome of therapy). We
conclude with a discussion and review of guidelines to improve the reliability
of developed models that could serve improvement of diagnostic of depression in
psychiatry.
