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The data were computed using the computer package SPSS, Version 9.0 for Windows.
The regression equations for the data were computed.
The original data were computed in four steps, as illustrated in Fig. 2.
The data were computed using the standard analytic 1D forward algorithm.
Treatment data were computed either with Student t test or Mann–Whitney U test when variables were not normally distributed.
In the outer loop of each double cross-validation procedure, 250 splits into test and training data were computed.
Data were computed from medical files and extracted from the patient data management system (Clinisoft, GE Healthcare).
All mechanical data were computed offline by a routine written in MATLAB (Version R2007a; The Mathworks Inc, Natik, Massachusetts, USA).
Correlations between clinical (illness duration and frequency of attacks), cognitive test (MoCA, ROCF, DSST) and electrophysiological (ERP components amplitude and latency) data were computed.
For both W1315 and L2013, the GRACE data were computed to spherical harmonic degree and order 60, equivalent to a spatial resolution of about 335 km.
Data were computed using G*Power by a two-tailed unpaired Student's t test assuming equality of variance in both groups and normal distributions.
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