A computational approach to understanding the longitudinal changes in cortical activity associated with intensive meditation training
Manish Saggar, Stephen R Aichele, Tonya L Jacobs, Anthony P Zanesco, David A Bridwell, Katherine A Maclean, Brandon G King, Baljinder K Sahdra, Erika L Rosenberg, Phillip R Shaver, Emilio Ferrer, B Alan Wallace, George R Mangun, Clifford D Saron, Risto Miikkulainen
BMC Neuroscience 2010 DOI: 10.1186/1471-2202-11-s1-o7 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Longitudinal Peer reviewed |
|---|---|
| Topics | Meditation Neuroplasticity |
| Keywords | Intensive meditation Dedicated meditation training Reshape the brain Neuroscience research Researchers Advanced computational methods Enhancing neural well-being Positive longitudinal changes Beneficially modify. |
| Citations | 50 |
Abstract
Figure 1 (a) Model architecture for a single site (adapted from [1]).(b) Model estimated (in red) and experimental (in blue) spectra for a sample channel and subject.(c) Topographic map of the intrathalamic gain parameter before and after training.Reduction in intrathalamic gain has been linked to increase in alertness [2].Thus, the model not only fits experimental data but also provides a concrete and testable hypothesis about the changes seen on the scalp.