E. Ducla-Soares

Influence of learning to read and write on the morphology of the corpus callosum.

Variations in the individual anatomy of the corpus callosum have been reported in several conditions. There seem to be genetic influencing factors, but it is impossible to rule out some environmental ones. This study focuses on the question of the environmental factors, using formal learning to read and write as the main difference in the groups to be compared. Based on magnetic resonance imaging sagital images, the contour of the corpus callosum (CC) of 41 carefully selected women (18 illiterate and 23 literate) was digitized. The comparison between the two groups showed a small difference in the region of the CC where parietal fibres are thought to cross. This region is thinner in illiterate subjects. As illiteracy in this group is the result of social constraints, and the two groups that were compared are well matched for other cultural and pragmatic aspects than literacy, the results are interpreted as showing the possible influence of formal learning to read and write, on the biological development of the brain.

A new method for reproducible coil positioning in transcranial magnetic stimulation mapping

A new method is presented for mapping the motor cortex by transcranial magnetic stimulation in which the position of the stimulation coil on the scalp is measured using a 3D digitizer. The reproducibility of the method was tested by mapping 3 times the left abductor digiti minimi of 6 right-handed subjects and calculating the position of the centre of gravity (CoG), the area and volume of the individual maps. For individual maps, the coordinates of the CoG were found to be reproducible within +/-3 mm and the map areas and normalized volumes to within +/-20%, when the induced current flows anteriorly. Six more subjects were mapped to estimate interindividual variability of the position of the CoG. The methods ability to differentiate the cortical representation of two close muscles was successfully tested by mapping the flexor carpi radialis and the biceps brachii in another subject. Coordinates are given in a Cartesian frame of reference defined by the two tragi and the nasion. This feature will facilitate the comparison of results and their superposition on MR images.

Wavelet analysis of autonomic outflow of normal subjects on head‐up tilt, cold pressor test, Valsalva manoeuvre and deep breathing

Non‐invasive autonomic evaluation has used fast Fourier transform (FFT) to assign a range of low (LF) and high frequencies (HF) as markers of sympathetic and parasympathetic influences, respectively. However, FFT cannot be applied to brief transient phenomena, such as those observed on performing autonomic tests where the acute changes of cardiovascular signals (blood pressure and heart rate) that represent the first and most important stage of the autonomic performance towards a new state of equilibrium occur. Wavelet analysis has been proposed as a method to overcome and complement information taken exclusively in the frequency domain. With discrete wavelet transform (DWT), a time–frequency analysis can be done, allowing the visualization in time of the contribution of LF and HF to the observed changes of a particular signal. In this study, we evaluate with wavelets the acute changes in R–R intervals and systolic blood pressure that are observed in normal subjects during four classical autonomic tests: head‐up tilt (HUT), cold pressor test (CPT), deep breathing (DB) and Valsalva manoeuvre (VM). Continuous monitoring of ECG and blood presure was performed. Also LF, HF and LF/HF were calculated. Consistent with previous interpretations, data showed an increase of sympathetic activity in HUT, CPT and VM. On DB, results reflected an increase in parasympathetic activity and frequencies. In conclusion, when compared with FFT, wavelet analysis allows the evaluation of autonomic variability during short and non‐stationary periods of time and may constitute a useful advance in the assessment of autonomic function in both physiological and pathological conditions.

Cortical muscle representation in amyotrophic lateral sclerosis patients: Changes with disease evolution

Transcranial magnetic stimulation (TMS) mapping was performed regularly on 11 patients with amyotrophic lateral sclerosis (ALS). Map area decreased by 25% (P = 0.03) and normalized volume decreased by 47% (P = 0.01) in those patients who were mapped four times over a period of 11.6 months. The center of gravity (CoG) position moved randomly along the interaural line by distances larger than could be explained by experimental error (P = 0.002). Central conduction time, threshold, and motor evoked potential:compound muscle action potential (MEP:CMAP) amplitude ratio did not change significantly with time (P > 0.05). There were significant linear correlations between strength and CMAP amplitude and between map area and volume. No correlation was found between strength or CMAP amplitude and area or volume. The changes in map parameters were attributed primarily to loss of cortical cells. These results indicate that map parameters may be more sensitive to cortical neuronal loss than other TMS parameters.

Correlation Dimension Maps of EEG from Epileptic Absences

The understanding of brain activity, and in particular events such as epileptic seizures, lies on the characterisation of the dynamics of the neural networks. The theory of non-linear dynamics provides signal analysis techniques which may give new information on the behaviour of such networks. Methods: We calculated correlation dimension maps for 19-channel EEG data from 3 patients with a total of 7 absence seizures. The signals were analysed before, during and after the seizures. Phase randomised surrogate data was used to test chaos. Results: In the seizures of two patients we could distinguish two dynamical regions on the cerebral cortex, one that seemed to exhibit chaos whereas the other seemed to exhibit noise. The pattern shown is essentially the same for seizures triggered by hyperventilation, but differ for seizures triggered by light flashes. The chaotic dynamics that one seems to observe is determined by a small number of variables and has low complexity. On the other hand, in the seizures of another patient no chaotic region was found. Before and during the seizures no chaos was found either, in all cases. Conclusions: The application of non-linear signal analysis revealed the existence of differences in the spatial dynamics associated to absence seizures. This may contribute to the understanding of those seizures and be of assistance in clinical diagnosis.

Neurophysiological features of fasciculation potentials evoked by transcranial magnetic stimulation in amyotrophic lateral sclerosis

Abstract We report 13 patients with amyotrophic lateral sclerosis in whom fasciculation potentials (FPs) driven by transcranial magnetic stimulation (TMS) were recorded. A total of 18 different FPs were analyzed. TMS-driven fasciculations had a simple morphology and were stable. Complex potentials were never cortically driven. Recruitment by a slight voluntary contraction was verified in 7 of 13 tested FPs. FPs were driven by threshold stimuli in 7 of 10 patients and by stimuli 5% below threshold in 3 of 6. Mapping demonstrated that FPs were driven in an area close to the center of gravity of the muscle cortical area. In one case FPs were evoked from most of the cortical representation area of a very weak muscle. Three other patients with profuse fasciculations associated with other clinical conditions were also studied. No TMS evoked fasciculation was observed in this group. The results of this systematic study suggest that cortically evoked FPs arise centrally, at spinal cord or even more proximally, and can represent a marker of increased corticomotor excitability, which is predominant at an earlier phase but can persist as the disease progresses.

No Evidence of Chaos in the Heart Rate Variability of Normal and Cardiac Transplant Human Subjects

Heart Rate in Normal and Cardiac Transplant Subjects. Introduction: The variability observed in the heart rate may reflect fundamental aspects of cardiac activity. It has been under discussion whether heart rate variability (HRV) is due to noise or chaos, which is irregular behavior occurring in deterministic nonlinear systems.

Subdural electrode as a dipole source for magnetoencephalography

A subdural electrode was designed and constructed with 3 pairs of contacts to make 3 dipoles. The dipoles well approximate the expected magnetic behavior for a current dipole and can be used clinically to test localization capabilities of magnetoencephalography.

Improved accuracy of MEG localization in the temporal region with inclusion of volume current effects.

SummaryWe studied the magnetic field maps generated by six dipoles in the temporal region of a plastic skull filled with conducting gel. The data were processed with two mathematical models. One, using Biot-Savarts law, considered only the magnetic field generated by a localized current dipole, and the other considered a dipole in a sphere and included volume current effects. The contribution of volume current effects to the MEG maps was significant. The localizing capability of MEG improved from an average distance of 2.9 cm to 0.9 cm when volume current effects were considered.

Modelling a parasystolic rhythm in a heart-transplant patient

A parasystole from a heart-transplant patient is analysed using a beat-to-beat RR interval time series obtained from an electrocardiogram (ECG). The dysrhythmia, resulting from the co-existence of two pacemakers, the sinus node and an ectopic focus, presents distinctive regular patterns, with transitions from one pattern to another occurring abruptly. It is shown that the parasystolic rhythm can be simulated by a model involving two oscillators firing at fixed rates, under the restriction that neither is allowed to fire during the others refractory period. It is found that the structure of the generated RR time series is essentially determined by the ratio of the periods of the two oscillators. In the case of a heart-transplant patient with a small heart-rate variability as a result of heart denervation, the model predicts the RR intervals with an error of less than 6% for an 80-beat sequence. From a physiological point of view, the results imply that the interaction between the two pacemakers in the heart is fairly weak, and hence the parasystole observed in the heart-transplant patient can be modelled as pure parasystole.