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

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)

“…Introduction<p>We investigated the neural correlates of cognitive decline in visual word perception from the perspective of intrinsic brain networks.…”

Coupled gGM and CSF fMRI signal time courses induced by a transient hypercapnic challenge – data from a representative subject. by Juliana Zimmermann (10507091)

Bidirectional grey-matter CBF changes induced by a hypercapnic challenge. by Juliana Zimmermann (10507091)

Coupled gGM and CSF fMRI signal changes induced by a transient hypercapnia challenge. by Juliana Zimmermann (10507091)

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. …”

Example sagittal fMRI scan of a representative subject during B/S anesthesia and extracted gGM-fMRI time-course. by Juliana Zimmermann (10507091)

Example sagittal fMRI scan of a representative subject during the hypercapnic challenge experiment and extracted gGM-fMRI time-course. 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)

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

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

“…Changes in total cerebral blood volume (CBV) have been hypothesized to drive CSF-flux. We tested this hypothesis in two multimodal brain imaging experiments in healthy humans, in which we drove large changes in total CBV by neuronal burst-suppression under anesthesia or by transient global vasodilation in a hypercapnic challenge. …”

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

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

RNA targets of Mod identified by RiP-Seq. by Amalia S. Parra (4173004)

“…<div><p>A small population of stem cells in the developing <i>Drosophila</i> central nervous system generates the large number of different cell types that make up the adult brain. …”

DataSheet1_Adverse childhood experiences, brain function, and psychiatric diagnoses in a large adult clinical cohort.pdf by David B. Keator (19842939)

“…Previous neuroimaging studies with small samples have shown associations between ACEs and alterations in brain volume, connectivity, and blood flow. However, no study has explored these associations in a large clinical population to identify brain regions that may mediate the relationship between ACEs and psychiatric diagnoses. …”

Toxoplasma infection leads to a decrease in the concentration of EVs. by Emily Z. Tabaie (16630841)

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)

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)

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)

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