2017
DOI: 10.1093/schbul/sbx021.272
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194. Neuromelanin-Sensitive MRI as an Early Indicator of Dopamine Dysfunction in Individuals at Risk for Psychosis

Abstract: (HC) participants aged 12-35 (average = 19.0 ± 4.5 years). Linear and nonlinear curves were fit to relationships between social cognitive variables and age. Differences in age effects between CHR and HC were modeled as interaction terms. Duration of a prodromal syndrome prior to baseline and medication history were tested for interactions with age effects. Results: Emotion perception and social perception age trajectories did not differ by group. Theory of mind age trajectory, particularly for sarcasm items, h… Show more

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Cited by 3 publications
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“…Such an approach can identify precisely which subregions of SNc are most impacted in PD and promise to improve classification accuracy by focusing on subregions rather than averaging the signal across impacted and spared subregions. Horga and collaborators have implemented a voxelwise analysis 113 by normalizing NM-MRI scans into Montreal Neurological Institute standard brain space based on tissue segmentation from T1-weighted and T2-weighted structural scans. This approach does not use subject-specific masks of the SNc or the reference region but rather an atlas mask created from the average of a large dataset of NM-MRI scans from healthy controls.…”
Section: Avenues To Improve Nm-mri Analysismentioning
confidence: 99%
“…Such an approach can identify precisely which subregions of SNc are most impacted in PD and promise to improve classification accuracy by focusing on subregions rather than averaging the signal across impacted and spared subregions. Horga and collaborators have implemented a voxelwise analysis 113 by normalizing NM-MRI scans into Montreal Neurological Institute standard brain space based on tissue segmentation from T1-weighted and T2-weighted structural scans. This approach does not use subject-specific masks of the SNc or the reference region but rather an atlas mask created from the average of a large dataset of NM-MRI scans from healthy controls.…”
Section: Avenues To Improve Nm-mri Analysismentioning
confidence: 99%
“…More recently, analyses of the NM MRI signal in a voxelwise manner have been performed, which more fully capture fine-grained anatomical information contained in the images [144].…”
Section: Appendix A4 Iron-sensitive Mrimentioning
confidence: 99%