13 research outputs found

    Detection versus location judgments in a hidden pattern task: functional MRI and behavioral correlates

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    We used functional magnetic resonance imaging (fMRI) to assess cortical involvement in a hidden pattern task. The experimental and control conditions involved judgment of the presence/absence versus the position of a complex pattern. Activation specific to hidden pattern identification was concentrated on frontal, dorsal parietal, and mesolimbic cortex. This was consistent not only across individual subjects, but with hidden figures tasks used in previous fMRI investigations. Results suggest that pattern identification relies on a relatively stable neural network controlling selective attention. In combination with fMRI, hidden pattern tasks may be useful in neuropsychological assessment of visual search and object identification.Peer reviewed: YesNRC publication: Ye

    Validation of the Measurement of Intra-abdominal Fat Between Ultrasound and CT Scan in Women with Obesity and Infertility

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    Objective: To compare the means and changes over time of intra-abdominal fat (IAF) and subcutaneous abdominal fat (SAF) measured by abdominal ultrasound (US) and computerized tomography (CT). Design and Methods: Prospective cohort study of 53 women with obesity and infertility undergoing a lifestyle program. Results: The Pearson's correlation between IAF measurement by US compared to CT was good at baseline, month 3 and 6 (all r >= 0.72). The correlation of SAF measurement by US compared to CT was reasonable at baseline (r = 0.54; 95%CI 0.30-0.78) and weak at month 3 and 6 (all r 0.48). US could not measure the changes of SAF over time. The Bland-Altman plot showed good agreement between US and CT for IAF measurements (-1.1 [95%CI - 3.9-1.6] cm lower mean in US) at baseline. For changes of IAF over time, mean estimates were in agreement. Conclusion: In women with obesity and infertility, measuring IAF by US is in good agreement with the CT scan methodology but the measurement of SAF by US is unreliable
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