%0 Journal Article
%A Schünemann, Kerstin D
%A Hattingh, Roxanne M
%A Verhoog, Matthijs B
%A Yang, Danqing
%A Bak, Aniella V
%A Peter, Sabrina
%A van Loo, Karen M J
%A Wolking, Stefan
%A Kronenberg-Versteeg, Deborah
%A Weber, Yvonne
%A Schwarz, Niklas
%A Raimondo, Joseph V
%A Melvill, Roger
%A Tromp, Sean A
%A Butler, James T
%A Höllig, Anke
%A Delev, Daniel
%A Wuttke, Thomas V
%A Kampa, Björn M
%A Koch, Henner
%T Comprehensive analysis of human dendritic spine morphology and density.
%J Journal of neurophysiology
%V 133
%N 4
%@ 0022-3077
%C Bethesda, Md.
%I Soc.
%M DZNE-2025-00452
%P 1086 - 1102
%D 2025
%X Dendritic spines, small protrusions on neuronal dendrites, play a crucial role in brain function by changing shape and size in response to neural activity. So far, in-depth analysis of dendritic spines in human brain tissue is lacking. This study presents a comprehensive analysis of human dendritic spine morphology and density using a unique dataset from human brain tissue from 27 patients (8 females, 19 males, aged 18-71 yr) undergoing tumor or epilepsy surgery at three neurosurgery sites. We used acute slices and organotypic brain slice cultures to examine dendritic spines, classifying them into the three main morphological subtypes: mushroom, thin, and stubby, via three-dimensional (3-D) reconstruction using ZEISS arivis Pro software. A deep learning model, trained on 39 diverse datasets, automated spine segmentation and 3-D reconstruction, achieving a 74
%K Humans
%K Male
%K Female
%K Middle Aged
%K Adult
%K Dendritic Spines: physiology
%K Aged
%K Adolescent
%K Young Adult
%K Deep Learning
%K Imaging, Three-Dimensional: methods
%K deep learning (Other)
%K dendritic spines (Other)
%K human tissue (Other)
%K morphology (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40013734
%R 10.1152/jn.00622.2024
%U https://pub.dzne.de/record/277731