AI Article Synopsis

  • * To study how networks adjust to local disturbances, researchers applied transcranial magnetic stimulation (TMS) to the IPL while participants engaged in different cognitive tasks and also at rest.
  • * Results showed that while TMS reduced network activity during tasks, it enhanced interactions among networks during rest, demonstrating the brain's short-term adaptive plasticity in response to inhibiting specific network nodes.

Article Abstract

The human brain comprises large-scale networks that flexibly interact to support diverse cognitive functions and adapt to variability in daily life. The inferior parietal lobe (IPL) is a hub of multiple brain networks that sustain various cognitive domains. It remains unclear how networks respond to acute regional perturbations to maintain normal function. To provoke network-level adaptive responses to local inhibition, we combined offline transcranial magnetic stimulation (TMS) over left or right IPL with neuroimaging during attention, semantic and social cognition tasks, and rest. Across tasks, TMS specifically affected task-active network activity with inhibition and facilitation. Network interaction responses differed between rest and tasks. After TMS over both IPL regions, large-scale network interactions were exclusively facilitated at rest, but mainly inhibited during tasks. Overall, responses to TMS primarily occurred in and between domain-general default mode and frontoparietal subnetworks. These findings elucidate short-term adaptive plasticity in response to network node inhibition.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570486PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e39735DOI Listing

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