Back

Motor Sequence Learning in Children and Adults: Age Differences in the Time Course of Brain Activation and Representational Stability

Hille, M.; Wenger, E.; Papadaki, E.; Fandakova, Y.

2026-05-13 neuroscience
10.64898/2026.05.12.724531 bioRxiv
Show abstract

Humans possess an astounding ability to acquire complex movement sequences with limited practice. Motor sequence learning engages a distributed network of brain regions that show distinct learning-related changes: the prefrontal cortex (PFC) is predominantly involved early in learning, whereas the primary motor cortex (M1) becomes increasingly engaged later in learning. Because motor regions mature relatively earlier than the PFC during development, we examined how children and adults differ in the time course of neural changes underlying motor sequence learning. Using functional magnetic resonance imaging (fMRI), we compared brain activation in children (7-10 years, N = 39, 17 female) and adults (20-32 years, N = 39, 19 female) during an associative visuomotor learning task. In both age groups, response times decreased with sequence repetition, with greater reductions in adults than in children. Across age groups, early learning was associated with heightened PFC activation, whereas later learning was characterized by increased activation in left M1 and bilateral supplementary motor area. Children and adults showed comparable decreases in PFC activation and PFC-M1 connectivity with sequence repetition. In contrast, adults exhibited larger learning-related increases in activation and stability of multivariate patterns in left M1. Together, these findings indicate that although both age groups engage the PFC similarly to support increased control demands in early learning, children show less pronounced modulation of M1 activation and representational similarity, suggesting that M1s capacity to form stable, sequence-related representations may still be developing in middle childhood. Significance StatementAlthough motor sequence learning has been widely studied in adults, less is known about how brain activation changes as learning progresses during childhood. This question is particularly relevant because prefrontal cortex (PFC) and primary motor cortex (M1) both support motor learning, but mature at different rates, with PFC developing relatively later than M1. Here, we used functional MRI to compare children (7-10 years) and adults performing a motor sequence learning task. We found no age-related differences in PFC engagement early in learning; instead children showed less refinement of M1 activation and neural representations over the course of learning than adults. These findings provide new insight into how the brain supports motor learning throughout development.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
The Journal of Neuroscience
928 papers in training set
Top 0.3%
22.1%
2
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.1%
12.1%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 6%
9.9%
4
eLife
5422 papers in training set
Top 6%
9.9%
50% of probability mass above
5
Nature Communications
4913 papers in training set
Top 34%
4.8%
6
Journal of Cognitive Neuroscience
119 papers in training set
Top 0.3%
4.8%
7
eneuro
389 papers in training set
Top 2%
4.1%
8
Neuropsychologia
77 papers in training set
Top 0.3%
3.5%
9
Cerebral Cortex
357 papers in training set
Top 0.4%
2.7%
10
Scientific Reports
3102 papers in training set
Top 54%
1.9%
11
Cerebral Cortex Communications
36 papers in training set
Top 0.1%
1.9%
12
NeuroImage
813 papers in training set
Top 4%
1.9%
13
Imaging Neuroscience
242 papers in training set
Top 2%
1.8%
14
npj Science of Learning
17 papers in training set
Top 0.1%
1.7%
15
Human Brain Mapping
295 papers in training set
Top 3%
1.7%
16
Brain Structure and Function
83 papers in training set
Top 0.3%
1.3%
17
Developmental Science
15 papers in training set
Top 0.1%
1.1%
18
Current Biology
596 papers in training set
Top 13%
0.9%
19
PLOS Biology
408 papers in training set
Top 19%
0.8%
20
Communications Biology
886 papers in training set
Top 25%
0.7%
21
Social Cognitive and Affective Neuroscience
29 papers in training set
Top 0.3%
0.7%
22
Journal of Neurophysiology
263 papers in training set
Top 1%
0.7%
23
Neuroscience & Biobehavioral Reviews
43 papers in training set
Top 1%
0.6%
24
Cell Reports
1338 papers in training set
Top 36%
0.6%