title: A simple assessment model to quantifying the dynamic hippocampal neurogenic process in the adult mammalian brain.
abstract: Adult hippocampal neurogenesis is a highly dynamic process in which new cells are born, but only some of which survive. Of late it has become clear that these surviving newborn neurons have functional roles, most notably in certain forms of memory. Conventional methods to look at adult neurogenesis are based on the quantification of the number of newly born neurons using a simple cell counting methodology. However, this type of approach fails to capture the dynamic aspects of the neurogenic process, where neural proliferation, death and differentiation take place continuously and simultaneously. In this paper, we propose a simple mathematical approach to better understand the adult neurogenic process in the hippocampus which in turn will allow for a better analysis of this process in disease states and following drug therapies.
authors.affiliation: Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge, CB2 0PY, United Kingdom.
authors.forename: Minee L
authors.initials: ML
authors.lastname: Choi
authors.affiliation: Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge, CB2 0PY, United Kingdom.|School of Clinical Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0SP, United Kingdom.
authors.forename: Faye
authors.initials: F
authors.lastname: Begeti
authors.affiliation: Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge, CB2 0PY, United Kingdom.|Department of Neurology, Addenbrooke's Hospital, Cambridge, CB2 0QQ, United Kingdom.
authors.forename: Roger A
authors.initials: RA
authors.lastname: Barker
authors.affiliation: Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, United Kingdom.
authors.forename: Namho
authors.initials: N
authors.lastname: Kim
mesh_terms: D000818:Animals; D019540:Area Under Curve; D001973:Bromodeoxyuridine; D002452:Cell Count / Q000379:methods; D016923:Cell Death / Q000187:drug effects / Q000502:physiology; D049109:Cell Proliferation / Q000187:drug effects / Q000502:physiology; D002470:Cell Survival / Q000187:drug effects / Q000502:physiology; D002491:Central Nervous System Agents / Q000494:pharmacology; D000089622:Doublecortin Domain Proteins; D005473:Fluoxetine / Q000494:pharmacology; D006624:Hippocampus / Q000166:cytology / Q000187:drug effects / Q000502:physiology*; D007091:Image Processing, Computer-Assisted; D019394:Ki-67 Antigen / Q000378:metabolism; D008297:Male; D008810:Mice, Inbred C57BL; D008869:Microtubule-Associated Proteins / Q000378:metabolism; D008959:Models, Neurological; D055495:Neurogenesis / Q000187:drug effects / Q000502:physiology*; D009474:Neurons / Q000166:cytology / Q000187:drug effects / Q000502:physiology*; D009479:Neuropeptides / Q000378:metabolism; D013997:Time Factors
chemical_list: D002491:Central Nervous System Agents; D000089622:Doublecortin Domain Proteins; D019394:Ki-67 Antigen; D008869:Microtubule-Associated Proteins; D009479:Neuropeptides; D005473:Fluoxetine; D001973:Bromodeoxyuridine
keywords: adult neurogenesis; dentate gyrus; dynamic neurogenic process; fluoxetine; mathematical model