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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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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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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Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

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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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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Data Sheet 1_Aging of visual word perception is related to decreased segregation within and beyond the word network in the brain.docx by Licheng Xue (6683348)

“…</p>Discussion<p>These results suggest that cognitive decline in visual word perception is associated with decreased segregation within and beyond the word network in the aging brain. …”

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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Synchronization framework. by Andrew Patton (10224161)

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Loss of neuronal Pol III transcription does not affect lifespan, and gut 5S rRNA or brain <i>dMaf1</i> levels do not change during aging, with decreased Pol III subunits levels within aged brains. by Bowen Xu (5903801)

Brain acylcarnitines. by Dawn B. Lammert (21175128)

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)

Dam and pup body and brain weights. by Adrienne J. Bradley (20861948)

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Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Cognitive function decoding of brain regions. by Tianyuan Lei (19683861)

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