… Third, in this study, we only focus on the robustness of aberrant patterns of brain activity and
the diagnostic utility of fMRI measures in AD. Neuroimaging-based classification of AD with …

… as PET and SPECT, measure the brain activity in terms of vascular and metabolic changes,
the EEG and magnetoencephalography (MEG) acquire the brain activity directly (8). This is …

… to identify diagnostic criteria for dyslexia from measurements of brain electrical activity and
to test these criteria on previously unevaluated subjects to establish validity. Diagnostic rules …

… performance proves the value of these classification algorithms for clinical diagnostics. …
and non-linear classification algorithms to discriminate between the electrical brain activity (EEG) …

… That is, scoring of subjects is done via comparison of individual brain activity with the
clustered activity of the group. A classification cutoff can then be achieved, and can subsequently …

… Purpose of this analysis was to consolidate spatial information about alterations of
spontaneous brain activity in MDD, primarily to serve as feature selection for multivariate pattern …

… (ADHD) diagnosis using structural T 1 weighted brain scans … We report 93% accuracy of
individual subject diagnostic … Abnormal functional activity of the locus coeruleus could be …

… sensitivity of human brain imaging by accumulating … brain activity rather than a single voxel
or location [15,16]. A commonly applied implementation of MVPA is the use of a classification …

… of intrinsic brain activity measurements in the resting state to identify diagnostic biomarkers
of BECTS without IEDs. The aim of this work was to identify patterns of intrinsic brain activity …

… Association, findings from brain imaging do not appear among the diagnostic criteria. Aside
… for example a brain tumor, neuroimaging is not used in the process of psychiatric diagnosis. …