Supplementary Material for: Brain Structure in Preclinical Huntington's Disease: A Multi-Method Approach

<b><i>Background:</i></b> Structural magnetic resonance imaging (MRI) of the brain could be a powerful tool for discovering early biomarkers in clinically presymptomatic carriers of the Huntington's disease gene mutation (preHD). So far, structural changes have been found mainly in preHD approaching the estimated motor onset of the disease (i.e. less than 15 years from onset), whereas structural findings in preHD far from the estimated motor onset have been inconclusive. <b><i>Objectives:</i></b> The aims of this study were to investigate the sensitivity of different methodological approaches to structural data in far-from-onset preHD (mean estimated time to motor onset = 21.4 years) and to explore the relationship between brain structure, clinical variables and cognition. <b><i>Methods:</i></b> High-resolution MRI data at 3 T were obtained from 20 preHD individuals and 20 healthy participants and subsequently analyzed using voxel-based morphometry (VBM), cortical surface modeling and subcortical segmentation analysis techniques. <b><i>Results:</i></b> VBM analyses did not reveal significant between-group differences, whereas cortical surface modeling and subcortical segmentation analyses showed significant regional cortical thinning and striatal changes in preHD compared to controls. Significant correlations were found between striatal structure, estimated time to motor onset and executive performance, whereas cortical changes were not significantly correlated with these parameters. <b><i>Conclusion:</i></b> These data suggest that a combined methodological approach to structural MRI data could increase the sensitivity for detecting subtle neurobiological changes in early preHD. As consistently shown across different methods, the association between striatal structure and clinical measures supports the notion that changes in striatal volume could represent a more robust marker of disease progression than cortical changes

Supplementary Material for: Neurochemical Correlates of Cue Reactivity in Individuals with Excessive Smartphone Use

Background: Excessive smartphone use (ESU), that is, a pattern of smartphone use that shows specific features of addictive behavior, has increasingly attracted societal and scientific interest in the past years. On the neurobiological level, ESU has recently been related to structural and functional variation in reward and salience processing networks, as shown by, for example, aberrant patterns of neural activity elicited by specific smartphone cues. Objectives: Expanding on these findings, using cross-modal correlations of magnetic resonance imaging (MRI)-based measures with nuclear imaging-derived estimates, we aimed at identifying neurochemical pathways that are related to ESU. Methods: Cross-modal correlations between functional MRI data derived from a cue-reactivity task administered in persons with and without ESU and specific PET/SPECT receptor probability maps. Results: The endogenous mu-opioid receptor (MOR) system was found to be significantly (FDR-corrected) correlated with fMRI data, and z-transformed correlation coefficients showed an association (albeit nonsignificant after FDR-correction) between MOR and the Smartphone Addiction Inventory “withdrawal” dimension. Conclusions: We could identify the MOR system as a neurochemical pathway associated with ESU. The MOR system is closely linked to the reward system, which has been recognized as a key player in addictive disorders. Together with its potential link to withdrawal, the MOR system hints toward a biologically highly relevant marker, which should be taken into consideration in the ongoing scientific discussion on technology-related addictive behaviors