To successfully comprehend a sentence that contains a homonym, readers must select the ambiguous word's context-appropriate meaning. The outcome of this process is influenced both by top-down contextual support and bottom-up, word-specific characteristics. We examined how these factors jointly affect the neural signatures of lexical ambiguity resolution. We measured the similarity between multi...

Although the parahippocampal cortex (PHc) is known to be critical for memory formation, little is known about what is encoded by this area. Using multi-voxel pattern analysis of high-resolution functional magnetic resonance imaging (MRI) data, we examined responses to blocks of categorically coherent stimuli and found that patterns of activity in PHc were selective for not only scenes, but also...

Although the parahippocampal cortex (PHc) is known to be critical for memory formation, little is known about what is encoded by this area. Using multi-voxel pattern analysis of high-resolution functional magnetic resonance imaging (MRI) data, we examined responses to blocks of categorically coherent stimuli and found that patterns of activity in PHc were selective for not only scenes, but also...

Improving the effectiveness of spatial shape features classification from 3D lidar data is very relevant because it is largely used as a fundamental step towards higher level scene understanding challenges of autonomous vehicles and terrestrial robots. In this sense, computing neighborhood for points in dense scans becomes a costly process for both training and classification. This paper propos...

Previously, multi-voxel pattern analysis has been used to decode words referring to concrete object categories. In this study we investigated if single-trial-based brain activity was sufficient to distinguish abstract (e.g., mercy) versus concrete (e.g., barn) concept representations. Multiple neuroimaging studies have identified differences in the processing of abstract versus concrete concept...

Diffusion MRI is used widely to probe microstructural alterations in neurological and psychiatric disease. However, ageing and neurodegeneration are also associated with atrophy, which leads to artefacts through partial volume effects due to cerebrospinal-fluid contamination (CSFC). The aim of this study was to explore the influence of CSFC on apparent microstructural changes in mild cognitive ...

Behavioral and function magnetic resonance imagery (fMRI) data were combined to infer the mental states of students as they interacted with an intelligent tutoring system. Sixteen children interacted with a computer tutor for solving linear equations over a six-day period (days 0-5), with days 1 and 5 occurring in an fMRI scanner. Hidden Markov model algorithms combined a model of student behav...

CONTEXT Autism is an etiologically heterogeneous neurodevelopmental disorder for which there is no known unifying etiology or pathogenesis. Many conditions of atypical development can lead to autism, including fragile X syndrome (FXS), which is presently the most common known single-gene cause of autism. OBJECTIVE To examine whole-brain morphometric patterns that discriminate young boys with ...

introduction: monte carlo (mc) is the most common method for simulating virtual spect projections. it is useful for optimizing procedures, evaluating correction algorithms and more recently image reconstruction as a forward projector in iterative algorithms; however, the main drawback of mc is its long run time. we introduced a model based method considering the effect of body attenuation and i...

BACKGROUND Frontal lobe atrophy is a well known neuropathological feature of progressive supranuclear palsy (PSP), accompanied by characteristic neuropsychological deficits. OBJECTIVE To determine subregional frontal lobe atrophy patterns in patients with PSP using voxel based morphometry (VBM). METHODS VBM is an observer unbiased volumetry which allows the investigation of the entire brain...