Network topology of the cognitive phenotypes of temporal lobe epilepsy

Cortex ◽  
2021 ◽  
Author(s):  
Camille Garcia-Ramos ◽  
Aaron F. Struck ◽  
Cole Cook ◽  
Vivek Prabhakaran ◽  
Veena Nair ◽  
...  
2021 ◽  
Author(s):  
Linda Douw ◽  
Ida A. Nissen ◽  
Sophie M.D.D. Fitzsimmons ◽  
Fernando A.N. Santos ◽  
Arjan Hillebrand ◽  
...  

ABSTRACTTemporal lobe epilepsy patients are heterogeneous regarding cognitive functioning, with predominant risk of memory deficits. Despite major advances within cellular neuroscience, neuroimaging, and neuropsychology, it remains challenging to integrate memory performance with cellular characteristics and brain network topology. In a unique dataset, we investigate these cross-scale individual differences. Preoperatively, drug-resistant temporal lobe epilepsy patients (n = 31, 15 females) underwent functional magnetic resonance imaging, magnetoencephalography and/or memory testing. Macro-scale network centrality was determined, since the number of integrative functional connections a region has is crucial for memory functioning. Subsequently, non-pathological cortical tissue resected from the lateral middle temporal gyrus (default mode network) was used for single cell morphological (total dendritic length) and electrophysiological patch-clamp analysis (action potential rise speed). We expected greater macro-scale centrality to relate to longer micro-scale dendritic length and faster action potentials, and greater centrality to relate to better memory performance. Greater macro-scale centrality correlated with longer dendritic length and faster action potentials (canonical correlation coefficient = 0.329, p < 0.001). Moreover, greater macro-scale centrality was related to better memory performance (canonical correlation coefficient = 0.234, p = 0.013). We conclude that more complex neuronal morphology and faster action potential kinetics are mirrored by more integrative functional network topology of the middle temporal gyrus, which in turn is associated with better memory functioning. Thus, our cross-scale analyses reveal a significant relationship between cellular and imaging measures of network topology in the brain, which support cognitive performance in these patients.


2015 ◽  
Vol 26 (7) ◽  
pp. 3237-3248 ◽  
Author(s):  
Boris C. Bernhardt ◽  
Neda Bernasconi ◽  
Seok-Jun Hong ◽  
Sebastian Dery ◽  
Andrea Bernasconi

2016 ◽  
Vol 63 ◽  
pp. 9-16 ◽  
Author(s):  
Tanja S. Kellermann ◽  
Leonardo Bonilha ◽  
Ramin Eskandari ◽  
Camille Garcia-Ramos ◽  
Jack J. Lin ◽  
...  

2019 ◽  
Author(s):  
Raúl Rodríguez-Cruces ◽  
Boris C. Bernhardt ◽  
Luis Concha

AbstractObjectiveTemporal lobe epilepsy (TLE) is known to affect large-scale structural networks and cognitive function in multiple domains. The study of complex relations between structural network organization and cognition requires comprehensive analytical methods and a shift towards multivariate techniques. The current work sought to identify multidimensional associations between cognitive performance and structural network topology in TLE.MethodsWe studied 34 drug-resistant TLE patients and 25 age- and sex-matched healthy controls. All participants underwent a comprehensive neurocognitive battery and multimodal MRI, allowing for large-scale connectomics, and morphological evaluation of subcortical and neocortical regions. Using canonical correlation analysis, we identified a multivariate mode that links cognitive performance to a brain structural network. Our approach was complemented by bootstrap-based clustering to derive cognitive subtypes and associated patterns of macroscale connectome anomalies.ResultsBoth methodologies provided converging evidence for a close coupling between cognitive impairments across multiple domains and large-scale structural network compromise. Cognitive classes presented with an increasing gradient of abnormalities (increasing cortical and subcortical atrophy and less efficient white matter connectome organization in patients with increasing degrees of cognitive impairments). Notably, network topology characterized better the cognitive performance than morphometric measures. Thus, connectome characteristics featured as important markers of network reorganization and loss of inter-regional connectivity.ConclusionsThe multivariate approach emphasized the close interplay between cognitive impairment and large-scale network anomalies in TLE. Our findings contribute to understand the complexity of structural connectivity regulating the heterogeneous cognitive deficits found in epilepsy


2019 ◽  
Vol 33 (7) ◽  
pp. 986-995 ◽  
Author(s):  
Elizabeth Stewart ◽  
Cathy Catroppa ◽  
Linda Gonzalez ◽  
Deepak Gill ◽  
Richard Webster ◽  
...  

2012 ◽  
Vol 43 (01) ◽  
Author(s):  
VE Bernedo Paredes ◽  
H Schwartz ◽  
M Gartenschläger ◽  
M Gartenschläger ◽  
HG Buchholz ◽  
...  

2006 ◽  
Vol 37 (S 1) ◽  
Author(s):  
C Waisburg ◽  
E Sherman ◽  
L Byron ◽  
A Chapman ◽  
G Ainsworth ◽  
...  

2006 ◽  
Vol 37 (03) ◽  
Author(s):  
IEB Tuxhorn ◽  
H Freitag ◽  
C Krahn-Peper ◽  
F Behne ◽  
H Pannek ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document