Abstract
There has been increasing interest in pattern classification methods and neuroimaging studies using permutation tests to estimate the statistical significance of a classifier (p-value). Permutation tests usually use the test error as a dataset statistic to estimate the p-value(s) by measuring the dissimilarity between two or more populations. Using the test error as a dataset statistic; however, may camouflage the lowest recognizable classes, and the resulting p-value will be biased toward better values (usually lower values) because of the highly recognizable classes; thus, lower p-values could sometimes be the result of undercoverage. In this study, we investigate this problem and propose the implementation of permutation tests based on a per-class test error as a dataset statistic. We also propose a model that is based on partially scrambling the testing samples (in this model, the training samples are not scrambled) when computing the non-permuted statistic in order to judge the p-value's tolerance and to draw conclusions regarding, which permutation test procedures are more reliable. For the same purpose, we propose another model that is based on chance-level shifting of the permuted statistic. We tested these two proposed models on functional magnetic resonance imaging data that were collected while human subjects responded to visual stimulation paradigms, and our results showed that these models can aid in determining, which permutation test procedure is superior. We also found that permutation tests that use a per-class test error as a dataset statistic are more reliable in addressing the null hypothesis that all classes in the problem domain are drawn from the same distribution.

Abstract
The analysis of epileptic seizures is typically performed by visual inspection, limited by interrater variation. Our aim was to differentiate seizures characterized by automatisms with an objective, quantitative movement analysis. In part 1 of this study we found parameters (extent and speed of movement of the wrist and trunk) separating seizures with predominant proximal (hyperkinetic, n=10) and distal (automotor, n=10) limb automatisms (P<0.002). For each movement parameter we used the lowest value recorded for a hyperkinetic seizure in part 1 as the cutoff parameter in part 2 on a consecutive sample of 100 motor seizures. As in part 1, the difference between hyperkinetic and non-hyperkinetic seizures was highly significant (<0.001). When all movement parameters were above the threshold, a hyperkinetic seizure was identified with a probability of 80.8%, but the probability for a non-hyperkinetic seizure to have all parameters above the threshold was only 0.02%.

Abstract
Purpose: To quantitatively evaluate the difference of ictal head turning movements between patients with temporal lobe epilepsy (TLE) and frontal lobe epilepsy (FLE). Methods: We investigated 38 seizures of 31 patients with unilateral TLE and 22 seizures of 14 patients with unilateral FLE where head turning occurred in the seizure evolution. The head movements were defined as ipsilateral or contralateral in reference to the lateralization of the patient's focal epilepsy syndrome. Head movements were quantified by either referencing the head position with manually placed markers or by automatic detection of infrared marked reference points. The time of onset, duration, and angular speed of the head movements were computed, and interindividual and intraindividual analyses were performed. Key Findings: All of the TLE seizures had both contralateral and ipsilateral head turning, whereas all FLE had contralateral head turning; only 6 of 22 seizures were associated with ipsilateral head turning. Ipsilateral head turning always preceded contralateral head turning in both TLE and FLE. The head turning occurred significantly sooner after clinical seizure onset in FLE than in TLE patients (ipsilateral 0.5 vs. 16.0 s, contralateral: 4.5 vs. 21.3 s; p < 0.001). Furthermore, the duration of head turning was shorter in FLE for contralateral head turning (4.1 s) than in TLE (contralateral 6.0 s, p < 0.01); the ipsilateral head turning in the two groups did not differ (3.0 vs. 2.9 s) in duration. The angular speed of head turning did not differ for ipsilateral and for contralateral head turning in FLE and TLE. Significance: Quantitative analysis of head turning demonstrates significant differences between patients with FLE and TLE. These differences likely represent differences in spread of epileptic activity. This information may be useful in the seizure evaluation of patients considered for resective epilepsy surgery.

Abstract
Purpose: To quantitatively evaluate the lateralizing significance of ictal head movements of patients with temporal lobe epilepsy (TLE). Methods: We investigated EEG-video recorded seizures of patients with TLE, in which the camera position was perpendicular to the head facing the camera in an upright position and bilateral head movement was recorded. Thirty-eight seizures (31 patients) with head movement in both directions were investigated. Ipsilateral and contralateral head movements were defined according to ictal EEG. Head movements were quantified by selecting the movement of the nose in relation to a defined point on the thorax (25/s) in a defined plane facing the camera. The duration of the head version was determined independently of the camera angle. The angle, duration, and angular speed of the head movements were computed and inter and intrasubject analyses were performed (Wilcoxon rank sum). Results: Ipsilateral movement always preceded contralateral movement. The positive predictive value was 100% for movement in both directions. The duration of contralateral head version was significantly longer than ipsilateral head movement (6.4 +/- 4.1 s vs. 3.9 +/- 3.1 s, p < 0.001). The angular speed of both movements was similar (15.5 +/- 12.1 deg/s vs. 17.3 +/- 13.0 deg/s). Conclusion: The quantitative analysis shows the importance of sequence in the seizure's evolution and duration, but not angular speed for correct lateralization of versive head movement. This quantitative method shows the high lateralizing value of ictal lateral head movements in TLE.

Abstract
P>Purpose: To evaluate the significance of lateralization of ictal upper limb automatisms in patients with temporal lobe epilepsy (TLE). Methods: Ictal upper limb automatisms of 28 patients with temporal lobe epilepsy were quantified. Duration of automatisms in relation to total seizure duration, movement speed, extent, length, and predominant frequencies of the movements were analyzed for both upper extremities separately and compared to the lateralization of the epileptogenic temporal lobe. Results: Predominantly ipsilateral upper limb automatisms were more common (n = 19) than predominantly contralateral automatisms (n = 9). The duration of ictal ipsilateral upper limb automatisms was significantly longer than the duration of contralateral automatisms (ipsilateral automatisms: 29 of 86 s total seizure duration; contralateral automatisms: 19 of 110 s total seizure duration; p = 0.048). Patients with ipsilateral upper limb automatisms had more often exclusively unitemporal interictal epileptiform discharges (IEDs) (84.2%) than patients with contralateral automatisms (11.1%; p < 0.001). The positive predictive value (PPV) of the combination of these parameters is 84.2%. Excellent surgical seizure outcome was better in patients with ipsilateral upper limb automatisms (77.8%) compared to those with contralateral automatisms (20%) (p = 0.09). The quantitative analysis of movement extent, average speed, maximum speed, and repetition rate of ipsilateral and contralateral upper limb automatisms did not show any statistically significant difference in this patient sample. Conclusion: The lateralization of upper limb automatisms in TLE has a good lateralizing value if the lateralization of IEDs were also taken into consideration.

Abstract