Psychotic Motivation for Improving Student Performance Based On Pattern Learner Features Using Deep Neural Classifier for Bipolar Disorder Students
S PEERBASHA, MM SURPUTHEEN - The journal of contemporary …, 2021 - cibgp.com
… , energy levels, mood-outs, and health disorders. These … To resolve this problem, a Psychotic
motivation is proposed … Deep Neural Network (ISRDNN) for bipolar disorder students. The …
motivation is proposed … Deep Neural Network (ISRDNN) for bipolar disorder students. The …
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
… Patients with Bipolar disorder experience high mood swings that include excessive highs
(… While they feel opposite during depressive episodes with a strong feeling of hopeless and …
(… While they feel opposite during depressive episodes with a strong feeling of hopeless and …
[HTML][HTML] Connectomics of bipolar disorder: a critical review, and evidence for dynamic instabilities within interoceptive networks
… Fluctuations in mood, affect, and motivation are a cornerstone … Contemporary neurobiological
theories of emotion posit a … -limbic neural circuits underlies the emotional and cognitive …
theories of emotion posit a … -limbic neural circuits underlies the emotional and cognitive …
Motivations for emotions in bipolar disorder
Y Millgram, J Gruber, CM Villanueva… - Clinical …, 2021 - journals.sagepub.com
… motivation for emotions within and across affective disorders, we assessed motivation for
emotions in adults at increased risk for and diagnosed with bipolar disorder (BD). We focused …
emotions in adults at increased risk for and diagnosed with bipolar disorder (BD). We focused …
[HTML][HTML] Deficits in explicit emotion regulation in bipolar disorder: a systematic review
… This study investigated the activity of the neural network to emotional stimuli during the
arithmetic task. No significant losses or aberrations concerning neural measures were observed …
arithmetic task. No significant losses or aberrations concerning neural measures were observed …
[HTML][HTML] Neurophysiological correlates of cognitive control and approach motivation abnormalities in adolescent bipolar disorders
… BD, such as heightened approach motivation during reward … the neural networks underlying
behavioral approach levels … bipolar diagnoses and displayed variability in current mood …
behavioral approach levels … bipolar diagnoses and displayed variability in current mood …
[HTML][HTML] Personalized characterization of emotional states in patients with bipolar disorder
… time, and daytime activity; the chosen self-report variables were irritability and motivation. …
methods and deep-learning based convolutional neural network for health decision making. In …
methods and deep-learning based convolutional neural network for health decision making. In …
Segregation, integration and balance in resting‐state brain functional networks associated with bipolar disorder symptoms
Z Chang, X Wang, Y Wu, P Lin… - Human Brain Mapping, 2023 - Wiley Online Library
… Herein, by using a machine-learning approach, we further found that the limbic system
dominantly predicted anxiety and mood symptoms, which are both crucially related to …
dominantly predicted anxiety and mood symptoms, which are both crucially related to …
[HTML][HTML] Neural responses to monetary incentives in bipolar disorder
SL Johnson, H Mehta, TA Ketter, IH Gotlib… - NeuroImage: Clinical, 2019 - Elsevier
… ) and 24 participants with no lifetime history of mood disorder (the “control group”; 13 men, …
meet criteria for Bipolar I Disorder (BD I) or for no lifetime mood disorder using the Structured …
meet criteria for Bipolar I Disorder (BD I) or for no lifetime mood disorder using the Structured …
Bipolar oscillations between positive and negative mood states in a computational model of Basal Ganglia
PP Balasubramani, VS Chakravarthy - Cognitive Neurodynamics, 2020 - Springer
… Another motivation to study bipolar disorder in the framework of reward and risk based … BG
dynamics seen in a detailed network version. We expand it to a neural network model of BG (…
dynamics seen in a detailed network version. We expand it to a neural network model of BG (…