Comprehension of natural language--stories, conversations, text--is very simple for those doing the comprehending and very complex for cognitive neuroscientists. It also presents a paradox: the advantage of the left hemisphere (LH) for most language tasks is one of the best-established facts about the brain; yet, when it comes to comprehending complex, natural language, the right hemisphere (RH) might play an important role. Accumulated evidence from neuropsychology, neuroimaging, and neuroanatomy suggests at least three roughly separable (but highly interactive) components of semantic processing. Each process in turn has bilateral components, with the RH component performing coarser computations for the same general process. Examining asymmetrical brain and cognitive functions provides a unique opportunity for understanding the neural basis of complex cognition.
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http://dx.doi.org/10.1016/j.tics.2005.09.009 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, No. 17, Section 3, Renmin South Road, Chengdu, Sichuan, 610041, China.
Background: Hypertensive Disorder during Pregnancy (HDP) is the most prevalent obstetric conditions in maternal health, but the etiology of most cases remains unexplained. Seasonal variations in the conception of HDP may offer insights into the potential seasonal-specific risk factors.
Methods: Data were sourced from the China's National Maternal Near Miss Surveillance System (NMNMSS) between January 1, 2012, and December 31, 2021.
BMC Bioinformatics
January 2025
Department of Information Technology, Vardhaman College of Engineering, Shamshabad, Hyderabad, India.
Background: Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overcome these challenges, deep learning (DL) methods have emerged.
View Article and Find Full Text PDFThe Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Exam protocoling is a significant non-interpretive task burden for radiologists. The purpose of this work was to develop a natural language processing (NLP) artificial intelligence (AI) solution for automated protocoling of standard abdomen and pelvic magnetic resonance imaging (MRI) exams from basic associated order information and patient metadata. This Institutional Review Board exempt retrospective study used de-identified metadata from consecutive adult abdominal and pelvic MRI scans performed at our institution spanning 2.
View Article and Find Full Text PDFPsychon Bull Rev
January 2025
University of California, Santa Barbara, CA, USA.
Structural priming effects are widespread and heavily relied upon to assess structural representation and processing. Whether these effects are caused by error-driven implicit learning, residual activation, a combination of these, or some other learning mechanism remains to be established. The current study used preexisting data and a novel data analysis approach that links processing at the prime to later processing at the target to better understand the nature of structural priming.
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