Repeated procedural training produces exponential decay of brain activation in a distributed set of regions including fronto-striatal circuits, paralleling exponential improvement in task performance¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Learning-induced change in functional activation followed an exponential decline in a distributed set of brain regions including fronto-striatal areas across five training sessions. → Lena S. Geiger 2024

Evidence¶

Lena S. Geiger 2024¶

Lena S. Geiger, Torsten Wüstenberg, Zhenxiang Zang, Mirjam Melzer, Stephanie H. Witt, Marcella Rietschel, Markus M. Nöthen, Stefan Herms, Franziska Degenhardt, Andreas Meyer-Lindenberg & Carolin Moessnang. (2024). Longitudinal markers of cognitive procedural learning in fronto-striatal circuits and putative effects of a BDNF plasticity-related variant. npj Science of Learning. https://doi.org/10.1038/s41539-024-00282-2

q2 · i? · associational · r1

Exponential decay-curve fitting of practiced-condition encoding activation across 246 Brainnetome parcels over five fMRI sessions, for each genotype group. A "good fit( S p e a r m a n’s ρ ≥ 0.3)" emerged in fronto-striatal, parietal, occipitotemporal and thalamic areas.

"This revealed a good fit( S p e a r m a n’s ρ ≥ 0.3) in a distributed set of brains regions for both genotype groups, including fronto-striatal, parietal, occi- pitotemporal and thalamic areas (see Fig.3a, Supplementary Table 4)."

Discussion¶

Related Claims¶

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• BDNF Val66Met genotype is associated with behavioral learning curves: Met-allele carriers show higher learning gain and, per the authors, less efficient early learning — related
• Behavioral learning curves in a procedural working memory task are better fit by an exponential model than a linear model across five training sessions — related
• Subcortical but not cortical activation-trajectory parameters classify BDNF genotype above chance in an exploratory decision-tree analysis — related