A connectome-based prediction model of long-term memory

Abstract

Although many studies have investigated the neural basis of intra-individual fluctuations in long-term memory (LTM), few have explored the differences across individuals. Here, we characterize a whole-brain functional connectivity (FC) network based on fMRI data in an n-back task that robustly predicts individual differences in LTM. Critically, although FC during the n-back task also predicted working memory (WM) performance and the two networks had some shared components, they are also largely distinct from each other: the LTM model performance remained robust when we controlled for WM and vice versa. Furthermore, regions important for LTM such as the medial temporal lobe did contribute, but only partially, to predicting LTM. These results demonstrate that individual differences in LTM are dependent on the configuration of a whole-brain functional network including but not limited to regions traditionally associated with LTM during encoding and that such a network is separable from what supports WM.

Translational imaging of TSPO reveals pronounced innate inflammation in human and murine CD8 T cell–mediated limbic encephalitis

“…In contrast to that in OVAV-injected OT-I mice both, short- and long-term memory abilities, were strongly affected ( 29 ). This suggests a more subtle hippocampal inflammatory damage in our model, that appears, however sufficient to elicit epileptic seizures and alter the connectivity between hippocampus and cortex, which is needed for long-term memory formation ( 58 ). Another clear advantage of this approach is that the immunization model is easily combined with a variety of existing transgenic models based on the C57BL/6 genetic background facilitating future mechanistic investigation of CD8 T cell–driven epileptogenic encephalitis.…”