000160852 001__ 160852
000160852 005__ 20251017144550.0
000160852 0247_ $$2doi$$a10.1038/s42003-025-07725-5
000160852 0248_ $$2sideral$$a144128
000160852 037__ $$aART-2025-144128
000160852 041__ $$aeng
000160852 100__ $$aKember, Jonah
000160852 245__ $$aNeurite development varies across the hippocampus and covaries with the cellular composition of hippocampal tissue
000160852 260__ $$c2025
000160852 5060_ $$aAccess copy available to the general public$$fUnrestricted
000160852 5203_ $$aThe hippocampus is a critical brain structure supporting memory encoding and retrieval, yet the development of its microstructure in humans remains unknown. Understanding this development may provide insight into the mechanisms underlying memory and their disruption in disease. To address this, we non-invasively estimated the density and branching complexity of neurite (dendrites, axons, glial processes) using diffusion-weighted MRI in 364 participants aged 8–21. With development, large increases in neurite density and branching complexity persisted until ~15 years of age before stabilizing at adult-like values. Neurite density increases were relatively homogenous across hippocampal axes, whereas branching-complexity increases were heterogeneous: increasing primarily in CA1, SRLM, subiculum, and anterior hippocampus. To assess whether this development may be attributable to specific cell-types, we tested for spatial overlap between age-related change in neurite and cell-type composition of the adult hippocampus via cross-reference with an out-of-sample gene-expression atlas. We found age-related changes in neurite density occur in hippocampal locations which, in adults, consist of granule cells, whereas age-related changes in neurite branching complexity occur in locations consisting of pyramidal neurons. These results provide the first glimpse at the nonlinear maturation of hippocampal microstructure and the cell-type composition of hippocampal tissue underlying these changes.
000160852 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000160852 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000160852 700__ $$0(orcid)0000-0003-2461-8588$$aGracia-Tabuenca, Zeus$$uUniversidad de Zaragoza
000160852 700__ $$aPatel, Raihann
000160852 700__ $$aChakravarty, Mallar
000160852 700__ $$aChai, Xiaoqian J.
000160852 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000160852 773__ $$g8 (2025), 302 [10 pp.]$$tCommunications Biology$$x2399-3642
000160852 8564_ $$s4400408$$uhttps://zaguan.unizar.es/record/160852/files/texto_completo.pdf$$yVersión publicada
000160852 8564_ $$s2618942$$uhttps://zaguan.unizar.es/record/160852/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000160852 909CO $$ooai:zaguan.unizar.es:160852$$particulos$$pdriver
000160852 951__ $$a2025-10-17-14:11:38
000160852 980__ $$aARTICLE