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First and foremost, there was a clear and statistically robust difference between the two classes of disorder.
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Categorization of the data into a healthy class and two classes of disorders, namely diffuse and nodular mass lesions of vocal folds is the task pursued in this work.
The two classes of disorders affected distinct functional networks.
Conclusions From a neuroimaging perspective, neurological and psychiatric disorders represent two distinct classes of disorders.
Third, we compared the two classes of disorders in terms of grey matter volume only.
We have been able to associate the predicted complexes with 15 classes of disorders amongst 22 disorder classes.
We then identified regions showing different alterations in neurological and psychiatric disorders by directly comparing the two classes of disorders.
In particular, we examined whether the two classes of disorders affected different sets of regions, whether these regions were localised in different functional networks and whether neuroanatomical variability within each class of disorders is smaller than between classes.
In order to characterise the heterogeneity of the two classes of disorders, we computed neuroanatomical variability within each class and between classes.
We also found that mood disorders and anxiety disorders were the most prevalent classes of disorders, similar to the other studies.
Differences between the two classes of disorders were identified using P<0.05 (false-discovery rate corrected) and a cluster size threshold of 200 mm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com