Plasticity in Adults
The massive amount of connections between neurons cannot be simply inscribed in genetic code, as the former severely outnumbers the latter. Amongst others, the genome is assigned to the important task of encoding the variety of nerve cell forms and different neurotransmitters, but genes cannot specify the exact connections between individual neurons. Hence, every brain has to start as a relatively structureless, but extremely flexible network of nerve cells that has the inherent ability to “wire” itself exactly in the way in which it best adjusts to its individual environment with its unique requirements. What is more, the brain also has to remain flexible in a more mature state, that is, in adulthood, and retain its ability to change existing connections and structure as a reaction to altering environmental circumstances. It is this ability of the brain to react to changes in experience in adulthood that we are interested in in this part of the project.
There is accumulating evidence for the occurrence of such plastic changes in the adult human brain structure. So far, relatively little is known about the mechanisms underlying these observed alterations and their time course. In this project we are using different behavioral paradigms to extend the evidence on brain plasticity, with a focus on investigating the timing of plastic changes while they accompany behavioral skill acquisition.
Our Research Topics
A subsample of participants in the Berlin Aging Study II is being examined with MRI to collect data on the structure of the brain and its age-associated changes.
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Selected Publications
Papadaki, E., Koustakas, T., Werner, A., Lindenberger, U., Kühn, S., & Wenger, E. (2023). Resting-state functional connectivity in an auditory network differs between aspiring professionals and amateur musicians and correlates with performance. Brain Structure and Function, 228(9), 2147–2163. https://doi.org/10.1007/s00429-023-02711-1
Polk, S. E., Kleemeyer, M. M., Bodammer, N. C., Misgeld, C., Porst, J., Wolfarth, B., Kühn, S., Lindenberger, U., Düzel, S., & Wenger, E. (2023). Aerobic exercise is associated with region-specific changes in volumetric, tensor-based, and fixel-based measures of white matter integrity in healthy older adults. Neuroimage: Reports, 3, Article 100155. https://doi.org/10.1016/j.ynirp.2022.100155
Polk, S. E., Kleemeyer, M. M., Köhncke, Y., Brandmaier, A. M., Bodammer, N. C., Misgeld, C., Porst, J., Wolfarth, B., Kühn, S., Lindenberger, U., Wenger, E., & Düzel, S. (2022). Change in latent gray matter structural integrity is associated with change in cardiovascular fitness in older adults who engage in at-home aerobic exercise. Frontiers in Human Neuroscience, 16, Article 852737. https://doi.org/10.3389/fnhum.2022.852737
Wenger, E., Polk, S. E., Kleemeyer, M. M., Weiskopf, N., Bodammer, N. C., Lindenberger, U., & Brandmaier, A. M. (2022). Reliability of quantitative multiparameter maps is high for magnetization transfer and proton density but attenuated for R1 and R2* in healthy young adults. Human Brain Mapping, 43(11), 3585–3603. https://doi.org/10.1002/hbm.25870
Wenger, E., & Kühn, S. (2021). Neuroplasticity. In T. Strobach & J. Karbach (Eds.), Cognitive training: An overview of features and applications (2nd ed., pp. 69–83). Springer. https://doi.org/10.1007/978-3-030-39292-5_6
Wenger, E., Papadaki, E., Werner, A., Kühn, S., & Lindenberger, U. (2021). Observing plasticity of the auditory system: Volumetric decreases along with increased functional connectivity in aspiring professional musicians. Cerebral Cortex Communications, 2(2), Article tgab008. https://doi.org/10.1093/texcom/tgab008
Wenger, E., Brozzoli, C., Lindenberger, U., & Lövdén, M. (2017). Expansion and renormalization of human brain structure during skill acquisition. Trends in Cognitive Sciences, 21(12), 930–939. https://doi.org/10.1016/j.tics.2017.09.008
Wenger, E., Kühn, S., Verrel, J., Mårtensson, J., Bodammer, N. C., Lindenberger, U., & Lövdén, M. (2017). Repeated structural imaging reveals non-linear progression of experience-dependent volume changes in human motor cortex. Cerebral Cortex, 27(5), 2911–2925. https://doi.org/10.1093/cercor/bhw141
Lindenberger, U., Wenger, E., & Lövdén, M. (2017). Towards a stronger science of human plasticity. Nature Reviews Neuroscience, 18, 261–262. https://doi.org/10.1038/nrn.2017.44
