| 61 |
Prevalence of Campylobacter and Salmonella in African food animals and meat: a systematic review and meta-analysis
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| 62 |
Informing First Generation MLIS Experience: Challenges & Resources
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| 64 |
Perceptual tuning through contact? Contact interacts with perceptual (not memory-based) face-processing ability to predict cross-race recognition
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| 65 |
Rapid computations of spectrotemporal prediction error support perception of degraded speech
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In: eLife (2020)
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| 66 |
High-resolution iris and retinal imaging in multisystemic smooth muscle dysfunction syndrome due to a novel Asn117Lys substitution in ACTA2: a case report
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| 67 |
Neural Correlates of Cognitive Control Deficits in Children with Reading Disorder
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In: Brain Imaging Behav (2020)
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| 68 |
Changing Study Strategies with Revised Anatomy Curricula: a Move for Better or Worse?
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In: Med Sci Educ (2020)
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| 69 |
Toward a paradigm shift from deficit-based to proactive speech and language treatment: Randomized pilot trial of the Babble Boot Camp in infants with classic galactosemia
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In: F1000Res (2020)
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| 70 |
The impact of translated reminder letters and phone calls on mammography screening booking rates: Two randomised controlled trials
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| 71 |
Child-parent interactions in American and Turkish families: Examining measurement invariance analysis of child-parent relationship scale
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| 72 |
Parent preferences for text messages containing infant feeding advice
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| 73 |
Tools for experimental and computational analyses of off-target editing by programmable nucleases
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In: Nat Protoc (2020)
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| 74 |
Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach
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In: medRxiv (2020)
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Abstract:
Children born extremely preterm (EPT, <28 weeks gestation) are at risk for delays in development, including language. We use fMRI-constrained magnetoencephalography (MEG) during a verb generation task to assess the extent and functional connectivity (phase locking value, or PLV) of language networks in a large cohort of EPT children and their term comparisons (TC). 73 participants, aged 4 to 6 years, were enrolled (42 TC, 31 EPT). There were no significant group differences in age, sex, race, ethnicity, parental education, or family income. There were significant group differences in expressive language scores (p<0.05). Language representation was not significantly different between groups on fMRI, with task-specific activation involving bilateral temporal and left inferior frontal cortex. There were group differences in functional connectivity seen in MEG. To identify a possible subnetwork contributing to focal spectral differences in connectivity, we ran Network Based Statistics analyses. For both beta (20–25 Hz) and gamma (61–70 Hz) bands, we observed a subnetwork showing hyperconnectivity in the EPT group (p<0.05). Network strength was computed for the beta and gamma subnetworks and assessed for correlation with language performance. For the EPT group, exclusively, strength of the subnetwork identified in the gamma frequency band was positively correlated with expressive language scores (r=0.318, p<0.05). Thus, interhemispheric hyperconnectivity is positively related to language for EPT children and might represent a marker for resiliency in this population.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654860/
http://www.ncbi.nlm.nih.gov/pubmed/33173877
https://doi.org/10.1101/2020.10.30.20222448
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| 75 |
Analysis of Microbial Water Contamination, Soil Microbial Community Structure, and Soil Respiration in a Collaborative First-Year Students as Scholars Program (SAS)
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In: Front Microbiol (2020)
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| 76 |
An Automated Text Messaging System (Tonsil-Text-To-Me) to Improve Tonsillectomy Perioperative Experience: Exploratory Qualitative Usability and Feasibility Study
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In: JMIR Perioper Med (2020)
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| 77 |
Associations between Neurocardiovascular Signal Entropy and Physical Frailty
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In: Entropy (Basel) (2020)
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| 78 |
The role of the oral microbiota in chronic non-communicable disease and its relevance to the Indigenous health gap in Australia
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In: BMC Oral Health (2020)
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| 79 |
A machine learning approach to predict ethnicity using personal name and census location in Canada
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In: PLoS One (2020)
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