Publications by authors named "P Grant"

Hypoxic ischemic encephalopathy (HIE) is a brain injury that occurs in 1 ~ 5/1000 term neonates. Accurate identification and segmentation of HIE-related lesions in neonatal brain magnetic resonance images (MRIs) is the first step toward identifying high-risk patients, understanding neurological symptoms, evaluating treatment effects, and predicting outcomes. We release the first public dataset containing neonatal brain diffusion MRI and expert annotation of lesions from 133 patients diagnosed with HIE.

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The Selective Metallization Technique shows promise for roll-to-roll in-line patterning of flexible electronics using evaporated metals, but challenges arise when applied to sputtering functional materials. This study overcomes these challenges with simultaneous sputtering of Bi-Sb-Te and evaporation of metal (Ag or Cu) for thermoelectric layers when using Selective Metallization Technique. Large-scale manufacturing is demonstrated through roll-to-roll processing of a 0.

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Background And Hypothesis: In accordance with the Cognitive Model of Negative Symptoms, defeatist performance beliefs (DPBs) are an important psychosocial mechanism of negative symptoms in schizophrenia-spectrum groups. DPBs are also mediators of negative symptom improvement in clinical trials. Despite the clinical significance of DPBs and their inclusion as a mechanism of change measure in clinical trials, the psychometric properties of the DPB scale have not been examined in any schizophrenia-spectrum group.

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Introduction: Maternal undernutrition and inflammation in utero may significantly impact the neurodevelopmental potential of offspring. However, few studies have investigated the effects of pregnancy interventions on long-term child growth and development. This study will examine the effects of prenatal nutrition and infection management interventions on long-term growth and neurodevelopmental outcomes of offspring.

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Article Synopsis
  • In drug-resistant epilepsy, the study focuses on using deep learning to analyze intracranial electroencephalography (iEEG) signals, specifically through time-frequency (TF) images, to locate the epileptogenic zone (EZ) for surgical guidance.
  • The researchers processed iEEG data from 20 children and employed a pre-trained neural network (VGG16) to measure visual complexity, revealing that contacts within the seizure onset zone had significantly lower activation energy compared to those outside.
  • The findings suggest a new computer-assisted method for accurately localizing the EZ with a 7 mm accuracy in MRI scans, potentially reducing the need for extensive manual iEEG examinations.
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