[HTML][HTML] ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
[HTML][HTML] Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
As patient health information is highly regulated due to privacy concerns, most machine
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
[HTML][HTML] Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: evidence through univariate and multivariate mega …
N Opel, A Thalamuthu, Y Milaneschi, D Grotegerd… - Molecular …, 2021 - nature.com
Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here
we aimed to clarify the relationship between obesity and brain structure using structural MRI …
we aimed to clarify the relationship between obesity and brain structure using structural MRI …
[HTML][HTML] Identifying schizophrenia using structural MRI with a deep learning algorithm
ObjectiveAlthough distinctive structural abnormalities occur in patients with schizophrenia,
detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging. This …
detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging. This …
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
The deviation between chronological age and age predicted using brain MRI is a putative
marker of overall brain health. Age prediction based on structural MRI data shows high …
marker of overall brain health. Age prediction based on structural MRI data shows high …
Diagnosis and management of bipolar disorders
FS Goes - bmj, 2023 - bmj.com
Bipolar disorders (BDs) are recurrent and sometimes chronic disorders of mood that affect
around 2% of the world's population and encompass a spectrum between severe elevated …
around 2% of the world's population and encompass a spectrum between severe elevated …
[HTML][HTML] Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
Advances in artificial intelligence have cultivated a strong interest in developing and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …
Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11. 2 deletion syndrome: a review of ENIGMA …
This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …
[HTML][HTML] Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
J Li, Y Lei, S Yang - Energy Reports, 2022 - Elsevier
The regression model based on the support vector machine (SVM) is a standard mid-term
and long-term load forecasting method. However, the hyperparameters of traditional SVM …
and long-term load forecasting method. However, the hyperparameters of traditional SVM …