Abstract:
:The brain operates via networked activity in separable groups of regions called modules. The quantification of modularity compares the number of connections within and between modules, with high modularity indicating greater segregation, or dense connections within sub-networks and sparse connections between sub-networks. Previous work has demonstrated that baseline brain network modularity predicts executive function outcomes in older adults and patients with traumatic brain injury after cognitive and exercise interventions. In healthy young adults, however, the functional significance of brain modularity in predicting training-related cognitive improvements is not fully understood. Here, we quantified brain network modularity in young adults who underwent cognitive training with casual video games that engaged working memory and reasoning processes. Network modularity assessed at baseline was positively correlated with training-related improvements on untrained tasks. The relationship between baseline modularity and training gain was especially evident in initially lower performing individuals and was not present in a group of control participants that did not show training-related gains. These results suggest that a more modular brain network organization may allow for greater training responsiveness. On a broader scale, these findings suggest that, particularly in low-performing individuals, global network properties can capture aspects of brain function that are important in understanding individual differences in learning.
journal_name
Neuropsychologiajournal_title
Neuropsychologiaauthors
Baniqued PL,Gallen CL,Kranz MB,Kramer AF,D'Esposito Mdoi
10.1016/j.neuropsychologia.2019.05.021subject
Has Abstractpub_date
2019-08-01 00:00:00pages
205-215eissn
0028-3932issn
1873-3514pii
S0028-3932(18)30624-9journal_volume
131pub_type
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