Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
[HTML][HTML] Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: a multimodal magnetic resonance imaging study
Psychiatric sequelae substantially contribute to the post-acute burden of disease associated
with COVID-19, persisting months after clearance of the virus. Brain imaging shows white …
with COVID-19, persisting months after clearance of the virus. Brain imaging shows white …
A peripheral inflammatory signature discriminates bipolar from unipolar depression: a machine learning approach
Background Mood disorders (major depressive disorder, MDD, and bipolar disorder, BD)
are considered leading causes of life-long disability worldwide, where high rates of no …
are considered leading causes of life-long disability worldwide, where high rates of no …
Functional and structural brain differences in bipolar disorder: a multimodal meta-analysis of neuroimaging studies
G Chen, J Wang, J Gong, Z Qi, S Fu, G Tang… - Psychological …, 2022 - cambridge.org
BackgroundNumerous studies of resting-state functional imaging and voxel-based
morphometry (VBM) have revealed differences in specific brain regions of patients with …
morphometry (VBM) have revealed differences in specific brain regions of patients with …
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …
from which millions of individuals are affected today. The symptoms of depression are …
Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review
JE Siegel‐Ramsay, MA Bertocci, B Wu… - Bipolar …, 2022 - Wiley Online Library
Objectives Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar
depression characterize pathophysiological differences between these conditions. However …
depression characterize pathophysiological differences between these conditions. However …
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F Colombo, F Calesella, MG Mazza… - Neuroscience & …, 2022 - Elsevier
Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
Discriminating between bipolar and major depressive disorder using a machine learning approach and resting-state EEG data
Objective Distinguishing major depressive disorder (MDD) from bipolar disorder (BD) is a
crucial clinical challenge as effective treatment is quite different for each condition. In this …
crucial clinical challenge as effective treatment is quite different for each condition. In this …
Lower levels of glutathione in the anterior cingulate cortex associate with depressive symptoms and white matter hyperintensities in COVID-19 survivors
SARS-CoV-2 is a novel coronavirus that mainly affects the respiratory system. However,
clinical manifestations such as neurological symptoms, psychopathological outcomes and …
clinical manifestations such as neurological symptoms, psychopathological outcomes and …