L-DOPA enhances hippocampal directionsignals in younger and older adults
Koch, C.; Bäuchl, C.; Glöckner, F.; Riedel, P.; Petzold, J.; Smolka, M.; Li, S.-C.; Schuck, N. W.
Show abstract
Previous studies indicate a role of dopamine in hippocampus-dependent spatial navigation. Although neural representations of direction are an important aspect of spatial cognition, it is not well understood whether dopamine directly affects these representations, or only impacts other aspects of spatial brain function. Moreover, both dopamine and spatial cognition decline sharply during age, raising the question which effect dopamine has on directional signals in the brain of older adults. To investigate these questions, we used a double-blind cross-over L-DOPA/Placebo intervention design in which 43 younger and 37 older adults navigated in a virtual spatial environment while undergoing functional magnetic resonance imaging (fMRI). We studied the effect of L-DOPA, a DA precursor, on fMRI activation patterns that encode spatial walking directions that have previously been shown to lose specificity with age. This was done in predefined regions of interest, including the early visual cortex, retrosplenial cortex, and hippocampus. Classification of brain activation patterns associated with different walking directions was improved in the hippocampus and the retrosplenial cortex following L-DOPA administration. This suggests that DA enhances the specificity of neural representations of walking direction in these areas. In the hippocampus these results were found in both age groups, while in the RSC they were only observed in younger adults. Taken together, our study provides evidence for a mechanistic link between DA and the specificity of neural responses during spatial navigation. Significance StatementThe sense of direction is an important aspect of spatial navigation, and neural representations of direction can be found throughout a large network of space-related brain regions. But what influences how well these representations track someones true direction? Using a double-blind cross-over L-DOPA/Placebo intervention design, we find causal evidence that the neurotransmitter dopamine impacts the fidelity of direction selective neural representations in the human hippocampus and retrosplenial cortex. Interestingly, the effect of L-DOPA was either equally present or even smaller in older adults, despite the well-known age related decline of dopamine. These results provide novel insights into how dopamine shapes the neural representations that underlie spatial navigation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Striatal iron content is linked to reduced fronto-striatal brain function under working memory load 95%
- Subjective cognitive decline predicts lower cingulo-opercular network functional connectivity in individuals with lower neurite density in the forceps minor 95%
- Reduced dimension stimulus decoding and column-based modeling reveal architectural differences of primary somatosensory finger maps between younger and older adults 95%
Similar papers in this journal
- A comparison of intracranial volume estimation methods and their cross-sectional and longitudinal associations with age 95%
- High spatial overlap but diverging age-related trajectories of cortical MRI markers aiming to represent intracortical myelin and microstructure 95%
- The reciprocal relationship between short- and long-term motor learning and neurometabolites 95%
Similar papers in this journal
Similar papers in this journal
- GABA levels in ventral visual cortex decline with age and are associated with neural distinctiveness 95%
- Daily biofeedback to modulate heart rate oscillations affects structural volume in hippocampal subregions targeted by the locus coeruleus in older adults but not younger adults 95%
- Menopause status- and sex-related differences in age associations with spatial context memory and white matter microstructure at midlife 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.