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Linking interindividual variability in brain structure to behaviour
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …
than a decade ago, advances in structural MRI opened promising new avenues to address …
Functional neuroimaging as a catalyst for integrated neuroscience
Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety
There is an urgent need to derive quantitative measures based on coherent neurobiological
dysfunctions or 'biotypes' to enable stratification of patients with depression and anxiety. We …
dysfunctions or 'biotypes' to enable stratification of patients with depression and anxiety. We …
Reproducible brain-wide association studies require thousands of individuals
Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated map** of abilities to specific structures (for example, lesion …
through well-replicated map** of abilities to specific structures (for example, lesion …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
[HTML][HTML] An overview of clustering methods with guidelines for application in mental health research
Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …
individual heterogeneity by identifying more homogeneous subgroups of individuals …
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
The promise of machine learning has fueled the hope for develo** diagnostic tools for
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
Distinct symptom-specific treatment targets for circuit-based neuromodulation
Objective: Treatment of different depression symptoms may require different brain
stimulation targets with different underlying brain circuits. The authors sought to identify such …
stimulation targets with different underlying brain circuits. The authors sought to identify such …
Functional neuroimaging in psychiatry and the case for failing better
Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …
among the most debilitating and poorly understood of any medical condition. Current …
The future of rodent models in depression research
Currently, over 300 million people worldwide have depression, and the socioeconomic
burden of this debilitating disorder is anticipated to increase markedly over the coming …
burden of this debilitating disorder is anticipated to increase markedly over the coming …