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Furthermore, this is the first study to report the effects of age and sex over the entire cerebrum volume and over the full frontal, occipital, parietal, temporal, deep gray matter/white matter (insula, deep gray nuclei and white matter tracts), and cerebellum volumes.
None of the ATB values obtained from images of the parietal, frontal, temporal, deep gray matter, occipital, or cerebellar cortical regions were significantly different from those derived using the ROI-based analysis.
Those were 0.82 ± 0.07 and 0.82 ± 0.06 ml/g, respectively, for group 1 and 0.80 ± 0.07 and 0.80 ± 0.06 ml/g, respectively, for group 2. There were no significant differences between BFMP and BFMAT in the estimated partition coefficient for the parietal, frontal, temporal, deep gray, and occipital regions in any of the groups.
The meta-analysis of Ellison-Wright and Bullmore [ 47, p. 3] concluded that across 15 studies, "significant reductions were present in two regions: the left frontal deep white matter and the left temporal deep white matter".
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In this paper, we present an end-to-end trainable and spatial-temporal deep recurrent neural network: LSTM (Long-Short Term Memory) to automatically convert car images to human understandable natural language descriptions.
Here, we first used white matter atlases to identify the previously described white matter bottlenecks in the posterior temporal and deep prefrontal white matter.
BFP has three sources of blood supply: the maxillary artery (buccal and deep temporal branches), superficial temporal artery (transverse facial branch), and facial artery (small branches).
Thus, we could not draw any conclusions about temporal distribution of deep seismic activity because high CCs (>0.7) were obtained for only one deep event at site 7 (event 6; Fig. 8d) and not obtained at site 6.
The distribution of soil water and its temporal variation in deep (>5 m) soil profiles are not completely understood, partly due to the time and labor needed for their determination.
We present in this study the technical procedure we have developed, based on the subperiosteal detachment of the soft tissues of the midface and their attachment to the deep temporal fascia with a vertical vector of suspension.
A recent study by Thakar et al. (2015) addresses this research agenda, but fails to recognize and accurately characterize earlier studies designed to investigate regional and deep temporal patterning of mussel size fluctuations on California's Northern Channel Islands.
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