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- W2000798026 abstract "Dysfunctional neuroplasticity contributes to the pathogenesis of Alzheimer's disease, schizophrenia and depression. However, the underlying molecular mechanisms are not fully understood. Previous studies report neuromodulatory properties of the serotonin-1A (5-HT 1A ) receptor, which is also altered in these disorders. This suggests 5-HT 1A mediated neuroplasticity as potential pathogenic factor. The aim of this study was to demonstrate 5-HT 1A mediated neuroplasticity in vivo. We used positron emission tomography to quantify 5-HT 1A receptor binding (BP ND ) together with structural magnetic resonance imaging in 35 healthy subjects (mean 26.6 ±6.8 years; 17 women). Voxel-wise regression analysis was performed with gray matter volume (GMV) as dependent and 5-HT 1A BP ND as independent variable. Additionally, regression analysis was calculated with whole brain GMV as dependent variable and 5-HT 1A BP ND of the dorsal raphe nucleus (DRN) as independent variable. Control variables were age, sex and total GMV, respectively. 5-HT 1A receptor density predicted GMV of the hippocampus, medial temporal cortex, inferior temporal cortex, medial occipital cortex and the pericalcarine region in each hemisphere (p < 0.05 false discovery rate corrected, R 2 : 0.308–0.503). These associations were independent from local numbers of neurons. Furthermore, 5−HT 1A receptor levels in the DRN predicted GMV of the anterior cingulate cortex (p = 0.001, R 2 =0.656, uncorrected). These results demonstrate 5-HT 1A receptor mediated morphogenetic mechanisms in healthy human subjects' brains, which occur not only locally but also at the macro-network level. Finally, morphogenetic signaling investigated with multimodal neuroimaging could contribute to better understanding and diagnostic identification of gray matter loss in neuropsychiatric disorders." @default.
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- W2000798026 date "2012-01-01" @default.
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- W2000798026 title "O-28 - Serotonin-1A receptor related morphogenic signaling is associated with regional brain volumes and network neuroplasticity" @default.
- W2000798026 doi "https://doi.org/10.1016/s0924-9338(12)74128-7" @default.
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