TY  - JOUR
AU  - Schünemann, Kerstin D
AU  - Hattingh, Roxanne M
AU  - Verhoog, Matthijs B
AU  - Yang, Danqing
AU  - Bak, Aniella V
AU  - Peter, Sabrina
AU  - van Loo, Karen M J
AU  - Wolking, Stefan
AU  - Kronenberg-Versteeg, Deborah
AU  - Weber, Yvonne
AU  - Schwarz, Niklas
AU  - Raimondo, Joseph V
AU  - Melvill, Roger
AU  - Tromp, Sean A
AU  - Butler, James T
AU  - Höllig, Anke
AU  - Delev, Daniel
AU  - Wuttke, Thomas V
AU  - Kampa, Björn M
AU  - Koch, Henner
TI  - Comprehensive analysis of human dendritic spine morphology and density.
JO  - Journal of neurophysiology
VL  - 133
IS  - 4
SN  - 0022-3077
CY  - Bethesda, Md.
PB  - Soc.
M1  - DZNE-2025-00452
SP  - 1086 - 1102
PY  - 2025
AB  - 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
KW  - Humans
KW  - Male
KW  - Female
KW  - Middle Aged
KW  - Adult
KW  - Dendritic Spines: physiology
KW  - Aged
KW  - Adolescent
KW  - Young Adult
KW  - Deep Learning
KW  - Imaging, Three-Dimensional: methods
KW  - deep learning (Other)
KW  - dendritic spines (Other)
KW  - human tissue (Other)
KW  - morphology (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40013734
DO  - DOI:10.1152/jn.00622.2024
UR  - https://pub.dzne.de/record/277731
ER  -