NeurologyNeurosciencePeer-reviewed journal article
Normative and individual, non-normative intrinsic networks and the transition to impaired cognition
Qirui ZhangiD, Stacy N. HudginsiD, Aaron F. StruckiD, Ankeeta Ankeeta, Sam Sharifzadeh JavidiiD, Michael R. SperlingiD, Bruce P. HermanniD, Joseph I. TracyiD
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Abstract
Despite their temporal lobe pathology, a significant subgroup of temporal lobe epilepsy (TLE) patients are able to maintain normative cognitive functioning. Here, we identify TLE patients with intact versus impaired cognitive profiles, and interrogate for the presence of both normative and highly individual intrinsic connectivity networks(ICN) - all towards understanding the transition from impaired to intact neurocognitive status. We retrospectively investigated data from 88 TLE patients and matched 91 healthy controls with resting-state functional MRI. Functional MRI data were decomposed using independent component analysis to obtain individualized ICNs. Here, we calculated the degree of match between individualized ICNs and canonical ICNs (e.g., Yeo et.al 17 resting-state network) and divided each participants ICNs into normative or non-normative status based on the degree of match. We found that the individualized networks matched the canonical networks less well in the cognitively impaired compared to the cognitively intact TLE patients. The cognitively impaired patients showed significant abnormalities in the profiles of both normative and non-normative networks, whereas the intact patients showed abnormalities only in non-normative networks. At the same time, we found normative networks held a strong, positive association with the neuropsychological measures, with this association negative in non-normative networks. We were able to provide the initial data demonstrating that significant cognitive deficits are associated with the status of highly-individual ICNs, making clear that the transition from intact to impaired cognitive status is not simply the result of disruption to normative brain networks.
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