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Emerging evidence suggests that the combination of transcranial direct current stimulation (tDCS) and reading training may provide promising benefits for dyslexia; however, the clinical effects and the role of individual differences in tDCS outcomes for dyslexia remain unclear. To this end, the present study investigated the effects of tDCS on clinically relevant reading measures and examined factors (i.e. reading at baseline, age, and intelligence quotient [IQ]) that may contribute to improvements following tDCS treatment. Our results showed that, in terms of word reading fluency, the percentage of responders in the active tDCS group was higher than that in the sham tDCS group. Linear mixed effects models showed that the effect of tDCS and reading training tasks on word reading fluency depended on reading at baseline with age and IQ. Thus, the present study provides research-based selection criteria for potential responders to tDCS and encourages tailored intervention based on individual characteristics.

The present active faults and stress field acting in the southern Apennines (Italy), a structurally complex area characterized by high seismic potential, are studied by analyzing the background microseismicity (M ≤ 3). We used a microearthquake data set consisting of 1312 events that occurred from August 2005 to April 2011 by integrating the data recorded at 42 seismic stations of various networks. The refined seis-micity locations and focal mechanisms delineate a system of northwest-southeast striking normal faults along the Apenninic chain and an approximately east-west oriented strike-slip fault transversely cutting the belt. The seismicity along the chain does not occur on a single fault but in a volume, delimited by the faults activated during the 1980 Irpinia M 6.9 earthquake on subparallel predominantly normal faults. Results show that the recent low magnitude earthquakes belong to the background seismicity, and they are likely generated along the major fault segments activated during the most recent earthquakes, suggesting that they are still active today, 30 years after the main-shock occurrences. The stress inversion from the whole data set suggests that a unique anti-Apenninic extensional regional stress field could explain the two different faulting styles characterizing the earthquakes that occur along the chain and the east-west fault dissecting the belt. On the other hand, the results obtained by separately inverting the Irpinia and the Potenza clusters indicate a more complex model that would predict a change from a normal-faulting regime, acting in the inner sector of the chain, to a strike-slip regime moving eastward and down-depth in the Potenza area. [ABSTRACT FROM AUTHOR]

The 6 April 2009 MW 6.3 L'Aquila earthquake, central Italy, has been recorded by the Irpinia Seismic Network (ISNet) about 250 km southeast of the epicenter. Up to 19 three-component accelerometer stations could be used to infer the main source parameters with different seismological methods. We obtained an approximate location of the event from arrival times and array-based back-azimuth measurements and estimated the local magnitude (6.1) from an attenuation relation for southern Italy. Assuming an omega-square spectral model, we inverted S-wave displacement spectra for moment magnitude (6.3), corner frequency (0.33 Hz), stress drop (2.5 MPa), and apparent stress (1.6 MPa). Waveform modeling using a point source and an extended-source model provided consistent moment tensors with a centroid depth around 6 km and a prevalently normal fault plane solution with a dominant directivity toward the southeast. The relatively high corner frequency and an overestimated moment magnitude of 6.4 from moment tensor inversions are attributed to the rupture directivity effect. To image the rupture geometry, we implemented a beamforming technique that back-projects the recorded direct P-wave amplitudes into the earthquake source region. A northwest-southeast striking rupture of 17 km length is imaged, propagating with an average velocity up to 3 km/s. This value is significantly higher than our estimate of 2.2 km/s from S-wave spectra. Our case study demonstrates that the use of array techniques and a dense accelerometer network can provide quick and robust estimates of source parameters of moderate-sized earthquakes located outside the network. [ABSTRACT FROM AUTHOR]