ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

Voxel-based whole-hemisphere analysis shows regional and dose-dependent decrease of microglia. by Francesca Catto (21253435)

Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque count. by Francesca Catto (21253435)

Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size. by Francesca Catto (21253435)

Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Changes in global brain blood volume mediate CSF in- and outflux. by Juliana Zimmermann (10507091)

The variation in classification proportions with strength of the stimulated brain region belonging to the respective cognitive system in a given age group including the strength di... by Andrew Patton (10224161)

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Classification of the emergent synchronization patterns when stimulating a single brain region for three different cases. by Andrew Patton (10224161)

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The variation in the dominating classification proportions with age and strength of the stimulated brain region belonging to the respective cognitive system including the classific... by Andrew Patton (10224161)

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The classification proportions across cross-sectional age over five select cognitive systems: a) auditory-left (Aud-L; dark blue), b) auditory-right (Aud-R; dark purple), c) ventra... by Andrew Patton (10224161)

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a) Variations in similarity of synchronization patterns, as defined in Eq (12), with cross-sectional age across the Auditory-Left (Aud-L, dark blue), Auditory-Right (Aud-R, dark pu... by Andrew Patton (10224161)

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Region similarity and individual similarity across the three age groups: a) young (<30 years, b) middle-aged (≥30 & <60 years), and c) old age (≥60 years) for all cognitive systems... by Andrew Patton (10224161)

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Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

“…The relative abundance of excitatory and inhibitory neurons, astrocytes, oligodendrocytes, microglia, and endothelial cells was estimated from the RNA sequencing data using a deconvolution-based analysis. Spearman correlation analysis between the individuals’ calendar ages and cell type proportions revealed a statistically significant decrease in the proportion of neurons with increasing age. …”

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

Synchronization framework. by Andrew Patton (10224161)

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Proportion of emergent synchronization patterns along cross-sectional age ( participants for each age group) for five different cognitive systems. by Andrew Patton (10224161)

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Proportions and age-related differences in the proportions of the three synchronization pattern classes (asynchronous (async), sychronous (sync) and chimera, see Fig 3) associated... by Andrew Patton (10224161)

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Data overview: Cross-sectional age distribution of the ‘10kInOneDay’ dataset used in this study with additional details of the dataset. by Andrew Patton (10224161)

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Numerical values underlying all Figs. by Juliana Zimmermann (10507091)

“…We indirectly monitored CBV changes with a high temporal resolution based on associated changes in total brain volume by functional MRI (fMRI) and measured cerebral blood flow by arterial spin-labeling. …”