Briefly, the functional images were corrected for acquisition delay, realigned, normalized to the MNI-152 space, resampled to 2 9 2 9 2 mm resolution and spatially smoothed with a Gaussian kernel of 8 mm FWHM by using SPM5 (SPM5, Welcome Department of Imaging Neuroscience, London, UK) running under MATLAB 2008A.
 Regions of interests (ROI) analysis were based on the results of separate functional localizer runs (488 s long, 17 s epochs of faces, objects and their Fourier-randomized versions interleaved with 17 s of blank periods, 2 Hz; 300 ms exposition time; 200 ms blank), using MARSBAR 0.38 toolbox for SPM (Brett et al. 2002).
Sample text:```05, minimum cluster size 64 voxels) [Woo et al., 2014] for the primary analysis of regions showing increasing activity with distance from the home location.```
Sample intent: method
Sample text:```05, minimum cluster size 64 voxels) [Woo et al., 2014] for the primary analysis of regions showing increasing activity with distance from the home location.```
Sample intent: method



Sample text:```Our results on working memory performance are similar to those of earlier studies (e.g. Archbold et al., 2009; Cosentino et al., 2008; Naegele et al., 2006) in showing impaired working memory in the OSA group.```
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Sample text:```…(LING)] thalamus (THA), as well as limbic/paralimbic regions [e.g. insula, superior temporal pole and inferior orbitofrontal cortex] (Table 2), which is in accordance with previous findings on functional brain networks constructed using resting-state fMRI (Achard et al., 2006; He et al., 2009b).```
Sample intent: result



Sample text:```In this study, we generalized previous results regarding the quasi-Gaussian shape and the scalar property using the SBF model [13,21,52].```
Sample intent: result



Sample text:```Importantly, brain atrophy measures based on T1w images are shown to correlate with the amount of tau deposition and neuropsychological deficits, thus validating its use as a biomarker of Alzheimer’s disease (AD) (Frisoni et al., 2010).```
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Sample text:```Our results confi rm previous studies that reached the same conclusion (Boushey et al 1994; Vermeulen et al 2000; Till et al 2005; Marcucci et al 2005).```
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Sample text:```5 concentrations were computed for each participant using a hierarchical spatiotemporal model fit with a pragmatic estimation procedure described elsewhere [30,31].```
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Sample text:```…(LING)] thalamus (THA), as well as limbic/paralimbic regions [e.g. insula, superior temporal pole and inferior orbitofrontal cortex] (Table 2), which is in accordance with previous findings on functional brain networks constructed using resting-state fMRI (Achard et al., 2006; He et al., 2009b).```
Sample intent: result



Sample text:```The electrode locations, acquired with a post-implantation CT were projected on the T1weighted individual anatomy scan (Hermes et al. 2010).```
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Sample text:```In this study, we generalized previous results regarding the quasi-Gaussian shape and the scalar property using the SBF model [13,21,52].```
Sample intent: result



Sample text:```Over the last few years, many different local interest point detectors (like Harris3D [16], Cuboid [6], Hessian [35] or Dense sampling [33]) and many spatio-temporal descriptors (like HOG [17], HOG3D [14], HOF [17], Cuboid [6] or ESURF [35]) have been proposed.```
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Sample text:```…with several action-based models of selective action that suggest turning one’s visual attention to an object or location in space may be the same process as preparing a movement to that object/location (e.g., Rizzolatti et al.1994; Tipper et al.1992; Welsh and Elliott 2004b; Welsh et al.1999).```
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Sample text:```The next communication [2] considered the most general characteristics of the parameter of spa tial EEG synchronization (the average in each of the fre quency bands of the EEG’s coherence value), such as multiplicity, directedness, and reproducibility of varia tions of this parameter owing to the change of state of the subjects.```
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Sample text:```Importantly, brain atrophy measures based on T1w images are shown to correlate with the amount of tau deposition and neuropsychological deficits, thus validating its use as a biomarker of Alzheimer’s disease (AD) (Frisoni et al., 2010).```
Sample intent: method



Sample text:```…that there is ample evidence from functional magnetic imaging experiments that in humans prediction errors are indeed encoded in the dorsal striatum (e.g. Valentin & O’Doherty, 2009; Cooper et al., 2011), including regions of dorsal putamen most comparable to rat DLS (e.g. Garrison et al., 2013).```
Sample intent: method