Elucidating neural network functional connectivity abnormalities in bipolar disorder: toward a harmonized methodological approach
HW Chase, ML Phillips - Biological psychiatry: cognitive neuroscience and …, 2016 - Elsevier
… neural network functional connectivity (1) has motivated their employment toward the study
of neural networks … , as a potential neural mechanism underlying emotional lability and mood …
of neural networks … , as a potential neural mechanism underlying emotional lability and mood …
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 …
Differential brain network activity across mood states in bipolar disorder
RO Brady Jr, N Tandon, GA Masters, A Margolis… - … of affective disorders, 2017 - Elsevier
… Altered activities in neural networks may be biomarkers of bipolar disorder diagnosis and
mood state that are accessible to neuromodulation and are promising novel targets for …
mood state that are accessible to neuromodulation and are promising novel targets for …
[PDF][PDF] Accuracy enhancement with artificial neural networks for bipolar disorder prediction
N Agnihotri, SK Prasad - Indonesian Journal of Electrical …, 2023 - academia.edu
… neural network approach in offspring of bipolar disorder parents [21], a continuous monitoring
of mood … of emotion and motivation,” Restorative Neurology and Neuroscience, vol. 32, no. …
of mood … of emotion and motivation,” Restorative Neurology and Neuroscience, vol. 32, no. …
[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 …
Cognitive deficits in bipolar disorders: Implications for emotion
… bipolar disorder. Drawing from research within bipolar disorder as well as outside of bipolar
disorder, we … be tied within bipolar disorder. We then provide suggestions for future research. …
disorder, we … be tied within bipolar disorder. We then provide suggestions for future research. …
[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 …