… bipolar disorder group would show reduced FRN in this study. We also hypothesized that
differences in these motivational … ) as well as mood (depression and mania and intercorrelation …

… proposed network is equipped with lexicon-based sentiment … neural network for modeling
and classifying motivational … MDD, anxiety and panic, bipolar disorder, and schizophrenia. We …

… in a number of disorders, particularly psychotic and mood disorders. Unfortunately, efforts to
… motivational symptoms, including SCZ, bipolar disorder (BD), and major depressive disorder …

… motivated attempts (notably the NIMH Research Domain Criteria [‘RDoC’]) to take a radical
and ‘bottom up’ approach … of mood in participants with bipolar disorder, borderline personality …

… Whereas activation or up-regulation of the reward system leads to emotions such as … some
symptoms of bipolar depression specifically, such as anhedonia and motivational deficits, …

… Motivation and problem characterization … ), and self-monitored data on mood of 28 bipolar
outpatients for 12 weeks. … for the unsupervised deep convolutional neural networks (CNN) was …

… or a complex recurrent neural network can be used to capture mood dynamics, as they are
… [53] model are theoretically and empirically motivated by reinforcement learning, one could …

… Bipolar disorder (BD) is a chronic mood disorder characterized by alternating episodes of
depression … deficit when motivational symptoms remain in individuals who are in remission. …

… present another approach that consists of phenotyping the behaviour of patients in motivation
tests, … These formal models impose a precise and operational definition of motivation that is …

… bipolar disorder (BPs) undergoing tonic pain and assessed the interaction between pain and
emotion. … pain-related information, especially affective motivation and cognitive evaluation. …