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Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.
OBJECTIVE A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinicalExpand
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Lifespan Gyrification Trajectories of Human Brain in Healthy Individuals and Patients with Major Psychiatric Disorders
Cortical gyrification of the brain represents the folding characteristic of the cerebral cortex. How the brain cortical gyrification changes from childhood to old age in healthy human subjects isExpand
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Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines
Previous studies have reported abnormalities of white-matter diffusivity in pediatric bipolar disorder. However, it has not been established whether these abnormalities are able to distinguishExpand
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Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning
ABSTRACT Diagnosis, clinical management and research of psychiatric disorders remain subjective — largely guided by historically developed categories which may not effectively capture underlyingExpand
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Individualized Prediction and Clinical Staging of Bipolar Disorders using Neuroanatomical Biomarkers.
BACKGROUND Neuroanatomical abnormalities in Bipolar disorder (BD) have previously been reported. However, the utility of these abnormalities in distinguishing individual BD patients from HealthyExpand
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Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach
Background Diagnosis of pediatric neuropsychiatric disorders such as unipolar depression is largely based on clinical judgment - without objective biomarkers to guide diagnostic process andExpand
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  • Open Access
Tendon strain measurements with dynamic ultrasound images: evaluation of digital image correlation.
Strain is an essential metric in tissue mechanics. Strains and strain distributions during functional loads can help identify damaged and pathologic regions as well as quantify functional compromise.Expand
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Accelerated epigenetic aging and mitochondrial DNA copy number in bipolar disorder
Bipolar disorder (BD) has been previously associated with accelerated aging; yet, the mechanisms underlying this association are largely unknown. The epigenetic clock has been increasingly recognizedExpand
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Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning.
BACKGROUND Previous studies have reported that patients with bipolar disorder (BD) present with cognitive impairments during mood episodes as well as euthymic phase. However, it is still unknownExpand
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Neurocognitive functioning in individuals with bipolar disorder and their healthy siblings: A preliminary study.
BACKGROUND Cognitive deficits have been consistently reported in individuals with bipolar disorder (BD). The cognitive profile of siblings of individuals with BD is, however, less clearly establishedExpand
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