Home > Publications Database > Dataset: Individual choices shape divergent brains and behaviors > print |
001 | 279473 | ||
005 | 20250710100950.0 | ||
024 | 7 | _ | |a 10.5061/DRYAD.XGXD254RB |2 doi |
024 | 7 | _ | |a 10.5061/dryad.xgxd254rb |2 doi |
037 | _ | _ | |a DZNE-2025-00800 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Kempermann, Gerd |0 P:(DE-2719)2000011 |b 0 |
245 | _ | _ | |a Dataset: Individual choices shape divergent brains and behaviors |
260 | _ | _ | |c 2025 |b Dryad |
336 | 7 | _ | |a MISC |2 BibTeX |
336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1752049465_18284 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
336 | 7 | _ | |a Dataset |2 DataCite |
336 | 7 | _ | |a DATA_SET |2 ORCID |
336 | 7 | _ | |a ResearchData |2 DINI |
520 | _ | _ | |a Individual choices shape life course trajectories of brain structure and function beyond genes and environment. We hypothesized that individual task engagement in response to a learning program results in individualized learning biographies and connectomics. Genetically identical female mice living in one large shared enclosure freely engaged in self-paced, automatically administered and monitored learning tasks. We discovered growing and increasingly stable inter-individual differences in learning trajectories. Adult hippocampal neurogenesis and connectivity as assessed by a high-density multi-electrode array positively correlated with the variation in exploration and learning efficiency. During some tasks, divergence transiently collapsed, highlighting the sustained significance of context for individualization. Thus, equal environments and equal genes do not result in equal learning biographies because life confronts individuals with choices that lead to divergent paths. |
536 | _ | _ | |a 351 - Brain Function (POF4-351) |0 G:(DE-HGF)POF4-351 |c POF4-351 |f POF IV |x 0 |
536 | _ | _ | |a 352 - Disease Mechanisms (POF4-352) |0 G:(DE-HGF)POF4-352 |c POF4-352 |f POF IV |x 1 |
588 | _ | _ | |a Dataset connected to DataCite |
650 | _ | 7 | |a Individuality |2 Other |
650 | _ | 7 | |a Behavior |2 Other |
650 | _ | 7 | |a Learning |2 Other |
650 | _ | 7 | |a mouse |2 Other |
650 | _ | 7 | |a tracking |2 Other |
650 | _ | 7 | |a Intellicage |2 Other |
650 | _ | 7 | |a FOS: Biological sciences |2 Other |
700 | 1 | _ | |a Barde, Warsha |0 P:(DE-2719)9001855 |b 1 |u dzne |
700 | 1 | _ | |a Renner, Jonas |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Emery, Brett |0 P:(DE-2719)9001361 |b 3 |u dzne |
700 | 1 | _ | |a Khanzada, Shakrukh |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a Hu, Xin |0 P:(DE-2719)2814182 |b 5 |u dzne |
700 | 1 | _ | |a Garthe, Alexander |0 P:(DE-2719)2810535 |b 6 |u dzne |
700 | 1 | _ | |a Rünker, Annette |0 P:(DE-2719)2810792 |b 7 |u dzne |
700 | 1 | _ | |a Amin, Hayder |0 P:(DE-2719)2812628 |b 8 |u dzne |
773 | _ | _ | |a 10.5061/dryad.xgxd254rb |
909 | C | O | |o oai:pub.dzne.de:279473 |p VDB |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 0 |6 P:(DE-2719)2000011 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 1 |6 P:(DE-2719)9001855 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 2 |6 P:(DE-HGF)0 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 3 |6 P:(DE-2719)9001361 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 4 |6 P:(DE-HGF)0 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 5 |6 P:(DE-2719)2814182 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 6 |6 P:(DE-2719)2810535 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 7 |6 P:(DE-2719)2810792 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 8 |6 P:(DE-2719)2812628 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-351 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Brain Function |x 0 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-352 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Disease Mechanisms |x 1 |
914 | 1 | _ | |y 2025 |
920 | 1 | _ | |0 I:(DE-2719)1710010 |k AG Amin |l Biohybrid Neuroelectronics (BIONICS) |x 0 |
920 | 1 | _ | |0 I:(DE-2719)1710001 |k AG Kempermann |l Adult Neurogenesis |x 1 |
920 | 1 | _ | |0 I:(DE-2719)1740001 |k AG Garthe |l Neurobiology of Behaviour |x 2 |
980 | _ | _ | |a dataset |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-2719)1710010 |
980 | _ | _ | |a I:(DE-2719)1710001 |
980 | _ | _ | |a I:(DE-2719)1740001 |
980 | _ | _ | |a UNRESTRICTED |
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