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 …
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] 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 …
Detecting neuroimaging biomarkers for psychiatric disorders: sample size matters
HG Schnack, RS Kahn - Frontiers in psychiatry, 2016 - frontiersin.org
In a recent review, it was suggested that much larger cohorts are needed to prove the
diagnostic value of neuroimaging biomarkers in psychiatry. While within a sample, an …
diagnostic value of neuroimaging biomarkers in psychiatry. While within a sample, an …
Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy …
HG Schnack, M Nieuwenhuis, NEM van Haren… - Neuroimage, 2014 - Elsevier
Although structural magnetic resonance imaging (MRI) has revealed partly non-overlapping
brain abnormalities in schizophrenia and bipolar disorder, it is unknown whether structural …
brain abnormalities in schizophrenia and bipolar disorder, it is unknown whether structural …
Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples
M Nieuwenhuis, NEM van Haren, HEH Pol, W Cahn… - Neuroimage, 2012 - Elsevier
The purpose of this study is to create a model that can classify schizophrenia patients and
healthy controls based on whole brain gray matter densities (voxel-based morphometry …
healthy controls based on whole brain gray matter densities (voxel-based morphometry …
Age prediction on the basis of brain anatomical measures
In this study, we examined whether age can be predicted on the basis of different anatomical
features obtained from a large sample of healthy subjects (n= 3,144). From this sample we …
features obtained from a large sample of healthy subjects (n= 3,144). From this sample we …
Schizophrenia: a survey of artificial intelligence techniques applied to detection and classification
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human
cognition in the analysis of complicated or large sets of data. Specifically, artificial …
cognition in the analysis of complicated or large sets of data. Specifically, artificial …
Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study
J Mourao-Miranda, A Reinders… - Psychological …, 2012 - cambridge.org
BackgroundTo date, magnetic resonance imaging (MRI) has made little impact on the
diagnosis and monitoring of psychoses in individual patients. In this study, we used a …
diagnosis and monitoring of psychoses in individual patients. In this study, we used a …
Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images
Structural abnormalities in schizophrenia (SZ) patients have been well documented with
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …