Regression Analysis of the Relationship Between Neurogenesis and Maze Learning in Rats with Divergent Behavioral Phenotypes

The relationship between learning capacity and hippocampal neurogenesis is still poorly understood. Moreover, the effect of pathological behavior on this relationship is unknown. In this study, we investigated this problem in rats with different behavioral phenotypes. Wistar-Kyoto rats were used as a model for depression, and Spontaneous Hypertensive rats (SHRs) were used to model attention deficit hyperactivity disorder. Normotensive Wistar rats (NWR) served as a standard behavioral control. We trained rats in the Barnes maze and then assessed their cognitive flexibility. We estimated the density of doublecortin-expressing neural precursors in the dentate gyrus of the hippocampus dentate gyrus, and, finally, we applied regression analysis to study the relationship between learning indices and the DCX+ cell density. It was shown that SHRs exhibited poorer performance during the maze training, and WKY rats displayed the lowest learning efficiency. In NWRs and SHRs, learning did not correlate with ongoing neurogenesis, probably due to different biological substrates. In WKY rats, a strong inverse correlation was found between DCX+ cell density in the dentate gyrus and learning efficiency during training and reversed training sessions. These findings suggest that cognitive deficits in WKY are predominantly hippocampus-dependent, while cognitive problems in SHRs are primarily driven by dysfunction of other brain structures and impaired executive control.

Authors

Institutions

Publication Details

Journal
Cells
Published
2026-11-11
DOI
https://doi.org/10.3390/cells15222046
Primary Topic
Neurogenesis and neuroplasticity mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Regression Analysis of the Relationship Between Neurogenesis and Maze Learning in Rats with Divergent Behavioral Phenotypes

Vyacheslav D. Riga, Natalia V. Gulyaeva, M. Yu. Stepanichev, Olga A. Nedogreeva et al.
Cells
Neurogenesis and neuroplasticity mechanisms
article

Regression Analysis of the Relationship Between Neurogenesis and Maze Learning in Rats with Divergent Behavioral Phenotypes

Vyacheslav D. Riga, Natalia V. Gulyaeva, M. Yu. Stepanichev, Olga A. Nedogreeva, Diana I. Mamedova, Н. А. Лазарева, Victor A. Aniol
article en

Abstract

The relationship between learning capacity and hippocampal neurogenesis is still poorly understood. Moreover, the effect of pathological behavior on this relationship is unknown. In this study, we investigated this problem in rats with different behavioral phenotypes. Wistar-Kyoto rats were used as a model for depression, and Spontaneous Hypertensive rats (SHRs) were used to model attention deficit hyperactivity disorder. Normotensive Wistar rats (NWR) served as a standard behavioral control. We trained rats in the Barnes maze and then assessed their cognitive flexibility. We estimated the density of doublecortin-expressing neural precursors in the dentate gyrus of the hippocampus dentate gyrus, and, finally, we applied regression analysis to study the relationship between learning indices and the DCX+ cell density. It was shown that SHRs exhibited poorer performance during the maze training, and WKY rats displayed the lowest learning efficiency. In NWRs and SHRs, learning did not correlate with ongoing neurogenesis, probably due to different biological substrates. In WKY rats, a strong inverse correlation was found between DCX+ cell density in the dentate gyrus and learning efficiency during training and reversed training sessions. These findings suggest that cognitive deficits in WKY are predominantly hippocampus-dependent, while cognitive problems in SHRs are primarily driven by dysfunction of other brain structures and impaired executive control.

CellsVol. 15(22)
Russian Academy of Sciences (RU), Institute of Higher Nervous Activity and Neurophysiology (RU)
Neurogenesis and neuroplasticity mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon