Related Experiment Video
Updated: Jan 26, 2026

Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects
Published on: February 12, 2021
Brain-wide Maps Reveal Stereotyped Cell-Type-Based Cortical Architecture and Subcortical Sexual Dimorphism
Yongsoo Kim1, Guangyu Robert Yang2, Kith Pradhan3
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA; College of Medicine, Penn State University, Hershey, PA, 17033, USA.
Abstract:
The stereotyped features of neuronal circuits are those most likely to explain the remarkable capacity of the brain to process information and govern behaviors, yet it has not been possible to comprehensively quantify neuronal distributions across animals or genders due to the size and complexity of the mammalian brain. Here we apply our quantitative brain-wide (qBrain) mapping platform to document the stereotyped distributions of mainly inhibitory cell types. We discover an unexpected cortical organizing principle: sensory-motor areas are dominated by output-modulating parvalbumin-positive interneurons, whereas association, including frontal, areas are dominated by input-modulating somatostatin-positive interneurons. Furthermore, we identify local cell type distributions with more cells in the female brain in 10 out of 11 sexually dimorphic subcortical areas, in contrast to the overall larger brains in males. The qBrain resource can be further mined to link stereotyped aspects of neuronal distributions to known and unknown functions of diverse brain regions.
Related Concept Videos
10:08Flow Cytometry Analysis of Tissue Factor Expression in Human Platelets
06:57Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects
05:41Purification of Platelets from Mouse Blood
09:46Megakaryocyte Differentiation and Platelet Formation from Human Cord Blood-derived CD34+ Cells
09:13Turbidimetry on Human Washed Platelets: The Effect of the Pannexin1-inhibitor Brilliant Blue FCF on Collagen-induced Aggregation
10:10Platelet Adhesion and Aggregation Under Flow using Microfluidic Flow Cells

