1. Microstructural differences in the cingulum and the inferior longitudinal fasciculus are associated with (extinction) learning
- Author
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Alina Nostadt, Lara Schlaffke, Christian J. Merz, Oliver T. Wolf, Michael A. Nitsche, Martin Tegenthoff, and Silke Lissek
- Subjects
Diffusion tensor imaging ,Cingulum ,Inferior longitudinal fasciculus ,Associative learning ,Extinction learning ,Renewal effect ,Psychology ,BF1-990 - Abstract
Abstract Cognitive functions, such as learning and memory processes, depend on effective communication between brain regions which is facilitated by white matter tracts (WMT). We investigated the microstructural properties and the contribution of WMT to extinction learning and memory in a predictive learning task. Forty-two healthy participants completed an extinction learning paradigm without a fear component. We examined differences in microstructural properties using diffusion tensor imaging to identify underlying neural connectivity and structural correlates of extinction learning and their potential implications for the renewal effect. Participants with good acquisition performance exhibited higher fractional anisotropy (FA) in WMT including the bilateral inferior longitudinal fasciculus (ILF) and the right temporal part of the cingulum (CNG). This indicates enhanced connectivity and communication between brain regions relevant to learning and memory resulting in better learning performance. Our results suggest that successful acquisition and extinction performance were linked to enhanced structural connectivity. Lower radial diffusivity (RD) in the right ILF and right temporal part of the CNG was observed for participants with good acquisition learning performance. This observation suggests that learning difficulties associated with increased RD may potentially be due to less myelinated axons in relevant WMT. Also, participants with good acquisition performance were more likely to show a renewal effect. The results point towards a potential role of structural integrity in extinction-relevant WMT for acquisition and extinction.
- Published
- 2024
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