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From anatomy to function: the role of the somatosensory cortex in emotional regulation
Since the pioneering work of Penfield and his colleagues in the 1930s, the somatosensory
cortex, which is located on the postcentral gyrus, has been known for its central role in …
cortex, which is located on the postcentral gyrus, has been known for its central role in …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Machine learning in major depression: From classification to treatment outcome prediction
Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
Cross-disorder analysis of brain structural abnormalities in six major psychiatric disorders: a secondary analysis of mega-and meta-analytical findings from the …
Background Neuroimaging studies have consistently reported similar brain structural
abnormalities across different psychiatric disorders. Yet, the extent and regional distribution …
abnormalities across different psychiatric disorders. Yet, the extent and regional distribution …
Machine learning in neuroimaging: Progress and challenges
Conclusion The application of machine learning methods to neuroimaging has risen more
rapidly than could have been predicted 15 years ago. It has been a very exciting new …
rapidly than could have been predicted 15 years ago. It has been a very exciting new …
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 …
The relationship between negative symptoms and depression in schizophrenia: a systematic review
Objective To provide an update on the evidence base for the nature of the relationship
between negative symptoms and depressive features in people with schizophrenia, and …
between negative symptoms and depressive features in people with schizophrenia, and …
Machine learning approaches for clinical psychology and psychiatry
Machine learning approaches for clinical psychology and psychiatry explicitly focus on
learning statistical functions from multidimensional data sets to make generalizable …
learning statistical functions from multidimensional data sets to make generalizable …
[HTML][HTML] From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics
Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …
their diagnosis is made exclusively behaviourally. A promising approach for …
Multimodal machine learning workflows for prediction of psychosis in patients with clinical high-risk syndromes and recent-onset depression
Importance Diverse models have been developed to predict psychosis in patients with
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …