<p>Regions identified by the SVM as containing discriminative information used to consistently predict the groups (right precentral gyrus, left entorhinal cortex, right pars opercularis cortex, right basal putamen, and bilateral thalamus). These five regions were selected by SVM in an all leave-one-subject-out iterations, with 94.87% accuracy. The bottom of the figure depicts the projection values of each subject and the decision boundary.</p
The identification of abnormal cognitive decline at an early stage becomes an increasingly significa...
Accurately diagnosing schizophrenia, a complex psychiatric disorder, is crucial for effectively mana...
The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) dat...
Support vector machines (SVMs) have been widely used in neuroimage analysis as an effective multivar...
Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysi...
Anatomical variability of patient's brains limits the statistical analyses about presence or absence...
<p>The position of each diamond and triangle (representing brain volumes) relative to the decision b...
The diagnosis and prognosis of patients with severe chronic disorders of consciousness are still cha...
<p>The volumes and shapes of the hippocampus (Hp) and lateral ventricles (LV) as well as cerebral sp...
Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical and functio...
<p>Accuracy scores (percent correct classification) from SVM searchlight decoding were colour-coded ...
Univariate analyses have identified gray matter (GM) alterations in different groups of MS patients....
AbstractPattern recognition approaches, such as the Support Vector Machine (SVM), have been successf...
<p>Distributed voxel patterns that best distinguished between tenderness/affection vs. pride within ...
As the field of functional human brain mapping has matured, it has become apparent that a comprehens...
The identification of abnormal cognitive decline at an early stage becomes an increasingly significa...
Accurately diagnosing schizophrenia, a complex psychiatric disorder, is crucial for effectively mana...
The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) dat...
Support vector machines (SVMs) have been widely used in neuroimage analysis as an effective multivar...
Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysi...
Anatomical variability of patient's brains limits the statistical analyses about presence or absence...
<p>The position of each diamond and triangle (representing brain volumes) relative to the decision b...
The diagnosis and prognosis of patients with severe chronic disorders of consciousness are still cha...
<p>The volumes and shapes of the hippocampus (Hp) and lateral ventricles (LV) as well as cerebral sp...
Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical and functio...
<p>Accuracy scores (percent correct classification) from SVM searchlight decoding were colour-coded ...
Univariate analyses have identified gray matter (GM) alterations in different groups of MS patients....
AbstractPattern recognition approaches, such as the Support Vector Machine (SVM), have been successf...
<p>Distributed voxel patterns that best distinguished between tenderness/affection vs. pride within ...
As the field of functional human brain mapping has matured, it has become apparent that a comprehens...
The identification of abnormal cognitive decline at an early stage becomes an increasingly significa...
Accurately diagnosing schizophrenia, a complex psychiatric disorder, is crucial for effectively mana...
The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) dat...