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Semantic maps

Mengyi Zhao, Songmao Zhang, Weizhuo Li, Guowei Chen
BACKGROUND: The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitate semantic integration, reuse and interoperability. As a well developed mathematical model for analyzing individuals and structuring concepts, Formal Concept Analysis (FCA) has been applied to ontology matching (OM) tasks since the beginning of OM research, whereas ontological knowledge exploited in FCA-based methods is limited. This motivates the study in this paper, i...
March 19, 2018: Journal of Biomedical Semantics
Alessandro Pepe, Loredana Addimando, Jamal Dagdouke, Shaher Yagi, Guido Veronese
BACKGROUND: Subjective wellbeing can be defined in terms of good mental state, including positive and negative evaluations that people make of their affect and lives. The aim of this study was to identify specific domains of wellbeing that are salient to Palestinian teachers living in three different contexts (West Bank, Gaza Strip, and Israel) and to map how components of subjective wellbeing vary between the three cohorts. METHODS: Data were gathered from interviews of teachers participating in 16 focus groups and from 36 key informants (including psychologists, counsellors, school principals, lawyers)...
February 21, 2018: Lancet
Stefan Elmer, Joëlle Albrecht, Seyed Abolfazl Valizadeh, Clément François, Antoni Rodríguez-Fornells
Word learning constitutes a human faculty which is dependent upon two anatomically distinct processing streams projecting from posterior superior temporal (pST) and inferior parietal (IP) brain regions toward the prefrontal cortex (dorsal stream) and the temporal pole (ventral stream). The ventral stream is involved in mapping sensory and phonological information onto lexical-semantic representations, whereas the dorsal stream contributes to sound-to-motor mapping, articulation, complex sequencing in the verbal domain, and to how verbal information is encoded, stored, and rehearsed from memory...
March 15, 2018: Scientific Reports
Jie Zhang, Xuehu Wei, Sangma Xie, Zhen Zhou, Desheng Shang, Renjie Ji, Yamei Yu, Fangping He, Yue Du, Xiangming Ye, Benyan Luo
In the dual-route language model, the dorsal pathway is known for sound-to-motor mapping, but the role of the ventral stream is controversial. With the goal of enhancing our understanding of language models, this study investigated the diffusion characteristics of candidate tracts in aphasic patients. We evaluated 14 subacute aphasic patients post-stroke and 11 healthy controls with language assessment and diffusion magnetic resonance imaging. Voxel-based lesion-symptom mapping found multiple linguistic associations for the ventral stream, while automated fiber quantification (AFQ) showed, via reduced fractional anisotropy (FA) and axial diffusivity with increased radial diffusivity (all corrected p  < 0...
2018: Frontiers in Neurology
C E Oude Weernink, L Sweegers, L Relou, T J van der Zijpp, J van Hoof
INTRODUCTION: Modern healthcare, including nursing home care, goes together with the use of technologies to support treatment, the provision of care and daily activities. The challenges concerning the implementation of such technologies are numerous. One of these emerging technologies are location technologies (RTLS or Real-Time Location Systems). that can be utilized in the nursing home for monitoring the use and location of assets. METHODOLOGY: This paper describes a participatory design study of RTLS based on context mapping, conducted in two nursing home organizations...
February 6, 2018: Technology and Disability
Yu-Hsuan A Chang, Sogol S Javadi, Naeim Bahrami, Vedang S Uttarwar, Anny Reyes, Carrie R McDonald
Blocked and event-related fMRI designs are both commonly used to localize language networks and determine hemispheric dominance in research and clinical settings. We compared activation profiles on a semantic monitoring task using one of the two designs in a total of 43 healthy individual to determine whether task design or subject-specific factors (i.e., age, sex, or language performance) influence activation patterns. We found high concordance between the two designs within core language regions, including the inferior frontal, posterior temporal, and basal temporal region...
March 5, 2018: Brain and Language
Haiguang Wen, Junxing Shi, Wei Chen, Zhongming Liu
The brain represents visual objects with topographic cortical patterns. To address how distributed visual representations enable object categorization, we established predictive encoding models based on a deep residual network, and trained them to predict cortical responses to natural movies. Using this predictive model, we mapped human cortical representations to 64,000 visual objects from 80 categories with high throughput and accuracy. Such representations covered both the ventral and dorsal pathways, reflected multiple levels of object features, and preserved semantic relationships between categories...
February 28, 2018: Scientific Reports
Bethany Percha, Russ B Altman
Motivation: The biomedical community's collective understanding of how chemicals, genes, and phenotypes interact is distributed across the text of over 24 million research articles. These interactions offer insights into the mechanisms behind higher order biochemical phenomena, such as drug-drug interactions and variations in drug response across individuals. To assist their curation at scale, we must understand what relationship types are possible and map unstructured natural language descriptions onto these structured classes...
February 27, 2018: Bioinformatics
Lotte Meteyard, Arpita Bose
Purpose: Impaired naming is one of the most common symptoms in aphasia, often treated with cued picture naming paradigms. It has been argued that semantic cues facilitate the reliable categorization of the picture, and phonological cues facilitate the retrieval of target phonology. To test these hypotheses, we compared the effectiveness of phonological and semantic cues in picture naming for a group of individuals with aphasia. To establish the locus of effective cueing, we also tested whether cue type interacted with lexical and image properties of the targets...
February 27, 2018: Journal of Speech, Language, and Hearing Research: JSLHR
Andrea Gajardo-Vidal, Diego L Lorca-Puls, Jennifer T Crinion, Jitrachote White, Mohamed L Seghier, Alex P Leff, Thomas M H Hope, Philipp Ludersdorfer, David W Green, Howard Bowman, Cathy J Price
In this study, we hypothesized that if the same deficit can be caused by damage to one or another part of a distributed neural system, then voxel-based analyses might miss critical lesion sites because preservation of each site will not be consistently associated with preserved function. The first part of our investigation used voxel-based multiple regression analyses of data from 359 right-handed stroke survivors to identify brain regions where lesion load is associated with picture naming abilities after factoring out variance related to object recognition, semantics and speech articulation so as to focus on deficits arising at the word retrieval level...
February 22, 2018: Neuropsychologia
Keith A Josephs, Peter R Martin, Hugo Botha, Christopher G Schwarz, Joseph R Duffy, Heather M Clark, Mary M Machulda, Jonathan Graff-Radford, Stephen D Weigand, Matthew L Senjem, Rene L Utianski, Daniel A Drubach, Bradley F Boeve, David T Jones, David S Knopman, Ronald C Petersen, Clifford R Jack, Val J Lowe, Jennifer L Whitwell
OBJECTIVES: To assess [ 18 F]AV-1451 tau-PET uptake patterns across the primary progressive aphasia (PPA) variants (logopenic, semantic and agrammatic), examine regional uptake patterns of [ 18 F]AV-1451 independent of clinical diagnosis, and compare the diagnostic utility of [ 18 F]AV-1451, [ 18 F]-fluorodeoxygluclose (FDG)-PET and MRI to differentiate the PPA variants. METHODS: We performed statistical parametric mapping of [ 18 F]AV-1451 across 40 PPA patients (logopenic-PPA=14, semantic-PPA=13 and agrammatic-PPA=13) compared to 80 cognitively normal, PiB-negative controls, age and gender matched 2:1...
February 16, 2018: Annals of Neurology
Guillaume Herbet, Sylvie Moritz-Gasser, Hugues Duffau
OBJECTIVE: To identify the prefrontal cortical structures causally involved in verbal and nonverbal semantic cognition in both cerebral hemispheres. METHODS: We retrospectively screened the intraoperative brain mapping data of 584 patients who underwent neurosurgery for neoplastic tumor under local anesthesia with direct cortical electrostimulation. Patients were included if they were right-handed, recently diagnosed with a diffuse low-grade glioma, and had a positive language mapping for verbal (naming task) and nonverbal (visual semantic association task) semantic cognition in the prefrontal cortex (n = 49)...
February 14, 2018: Neurology
C Foulon, L Cerliani, S Kinkingnéhun, R Levy, C Rosso, M Urbanski, E Volle, M Thiebaut de Schotten
Background: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity. For instance, category fluency requires the association between executive, semantic and language production functions. Findings: Here we provide, for the first time, a set of complementary solutions to measure the impact of a given lesion upon the neuronal circuits...
February 8, 2018: GigaScience
Holger R Roth, Le Lu, Nathan Lay, Adam P Harrison, Amal Farag, Andrew Sohn, Ronald M Summers
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically, as a small, soft, and flexible abdominal organ, the pancreas demonstrates very high inter-patient anatomical variability in both its shape and volume. This inhibits traditional automated segmentation methods from achieving high accuracies, especially compared to the performance obtained for other organs, such as the liver, heart or kidneys. To fill this gap, we present an automated system from 3D computed tomography (CT) volumes that is based on a two-stage cascaded approach-pancreas localization and pancreas segmentation...
February 1, 2018: Medical Image Analysis
R A M M Kieft, E M Vreeke, E M de Groot, H I de Graaf-Waar, C H van Gool, N Koster, H Ten Napel, A L Francke, D M J Delnoij
BACKGROUND: Nurses register data in electronic health records, which can use various terminology and coding systems. The net result is that information cannot be exchanged and reused properly, for example when a patient is transferred from one care setting to another. A nursing subset of patient problems was therefore developed in the Netherlands, based on comparable and exchangeable terms that are used throughout the healthcare sector and elsewhere (semantic interoperability). The purpose of the current research is to develop a mapping between the subset of patient problems and three classifications in order to improve the exchangeability of data...
March 2018: International Journal of Medical Informatics
James R Schmidt, Robert J Hartsuiker, Jan De Houwer
In the present manuscript, we investigate the source of congruency effects in a group of Dutch-French bilinguals. In particular, participants performed a color-identification Stroop task, in which both (first language) Dutch and (second language) French distracting color words were presented in colors. The typical finding is impaired responding when the word and color are incongruent (e.g., "red" in blue) relative to congruent (e.g., "red" in red). This congruency effect is observed for both first and second language distracting color words...
January 2018: Experimental Psychology
Qi Chen, Erica Middleton, Daniel Mirman
Impaired object naming is a core deficit in post-stroke aphasia, which can manifest as errors of commission - producing an incorrect word or a non-word - or as errors of omission - failing to attempt to name the object. Detailed behavioural, computational, and neurological investigations of errors of commission have played a key role in the development of neurocognitive models of word production. In contrast, the neurocognitive basis of omission errors is radically underspecified despite being a prevalent phenomenon in aphasia and other populations...
February 6, 2018: Journal of Neuropsychology
Shukhan Ng, Brennan R Payne, Elizabeth A L Stine-Morrow, Kara D Federmeier
We investigated how struggling adult readers make use of sentence context to facilitate word processing when comprehending spoken language, conditions under which print decoding is not a barrier to comprehension. Stimuli were strongly and weakly constraining sentences (as measured by cloze probability), which ended with the most expected word based on those constraints or an unexpected but plausible word. Community-dwelling adults with varying literacy skills listened to continuous speech while their EEG was recorded...
February 2, 2018: International Journal of Psychophysiology
Sebastian Hoefle, Annerose Engel, Rodrigo Basilio, Vinoo Alluri, Petri Toiviainen, Maurício Cagy, Jorge Moll
Encoding models can reveal and decode neural representations in the visual and semantic domains. However, a thorough understanding of how distributed information in auditory cortices and temporal evolution of music contribute to model performance is still lacking in the musical domain. We measured fMRI responses during naturalistic music listening and constructed a two-stage approach that first mapped musical features in auditory cortices and then decoded novel musical pieces. We then probed the influence of stimuli duration (number of time points) and spatial extent (number of voxels) on decoding accuracy...
February 2, 2018: Scientific Reports
Silvia Paola Caminiti, Tommaso Ballarini, Arianna Sala, Chiara Cerami, Luca Presotto, Roberto Santangelo, Federico Fallanca, Emilia Giovanna Vanoli, Luigi Gianolli, Sandro Iannaccone, Giuseppe Magnani, Daniela Perani
Background/aims: In this multicentre study in clinical settings, we assessed the accuracy of optimized procedures for FDG-PET brain metabolism and CSF classifications in predicting or excluding the conversion to Alzheimer's disease (AD) dementia and non-AD dementias. Methods: We included 80 MCI subjects with neurological and neuropsychological assessments, FDG-PET scan and CSF measures at entry, all with clinical follow-up. FDG-PET data were analysed with a validated voxel-based SPM method...
2018: NeuroImage: Clinical
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