Neuropsychological Assessment of Patients with Epilepsy

Barr, William

doi:10.1007/978-0-387-92826-5_1

Cited by 7 publications

(7 citation statements)

References 110 publications

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“…Another important benefit of using GE2REC in terms of the activated network is that it succeeds in recruiting some particularly significant regions for language and memory, such as the putamen ( Viñas-Guasch and Wu, 2017 ), the thalamus ( Llano, 2016 ), and the cerebellum ( Keren-Happuch et al, 2014 ; Lævenbruck et al, 2018 ; Gatti et al, 2021 ), often “neglected” from the most important neurocognitive models of language and memory. Several temporal regions observed in HC were less recruited by LTLE, probably due to their pathology, especially the left temporal and hippocampi ( Thom and Bertram, 2012 ; Barr, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…TLE patients are a good model for exploring cognitive function interaction because their epileptogenic zone is situated in the temporal lobe, which plays an essential role in both language and memory ( Tracy and Boswell, 2008 ; Drane and Pedersen, 2019 ). Furthermore, TLE is often followed by hippocampal atrophy ( Thom and Bertram, 2012 ; Barr, 2015 ). Although the role of hippocampal structure in memory processes is widely acknowledged ( Moscovitch et al, 2006 , 2016 ; Ranganath and Ritchey, 2012 ), there is growing evidence of its implication in the language ( Whitney et al, 2009 ; Kurczek et al, 2013 ; Moscovitch et al, 2016 ; Piai et al, 2016 ), and it is even proposed to be the interface between language and memory ( Duff and Brown-Schmidt, 2012 ), or a modulator between language and default mode networks ( Nenning et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Mapping of Language-and-Memory Networks in Patients With Temporal Lobe Epilepsy by Using the GE2REC Protocol

Banjac

Roger

Cousin

et al. 2022

Front. Hum. Neurosci.

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Preoperative mapping of language and declarative memory functions in temporal lobe epilepsy (TLE) patients is essential since they frequently encounter deterioration of these functions and show variable degrees of cerebral reorganization. Due to growing evidence on language and declarative memory interdependence at a neural and neuropsychological level, we propose the GE2REC protocol for interactive language-and-memory network (LMN) mapping. GE2REC consists of three inter-related tasks, sentence generation with implicit encoding (GE) and two recollection (2REC) memory tasks: recognition and recall. This protocol has previously been validated in healthy participants, and in this study, we showed that it also maps the LMN in the left TLE (N = 18). Compared to healthy controls (N = 19), left TLE (LTLE) showed widespread inter- and intra-hemispheric reorganization of the LMN through reduced activity of regions engaged in the integration and the coordination of this meta-network. We also illustrated how this protocol could be implemented in clinical practice individually by presenting two case studies of LTLE patients who underwent efficient surgery and became seizure-free but showed different cognitive outcomes. This protocol can be advantageous for clinical practice because it (a) is short and easy to perform; (b) allows brain mapping of essential cognitive functions, even at an individual level; (c) engages language-and-memory interaction allowing to evaluate the integrative processes within the LMN; (d) provides a more comprehensive assessment by including both verbal and visual modalities, as well as various language and memory processes. Based on the available postsurgical data, we presented preliminary results obtained with this protocol in LTLE patients that could potentially inform the clinical practice. This implies the necessity to further validate the potential of GE2REC for neurosurgical planning, along with two directions, guiding resection and describing LMN neuroplasticity at an individual level.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping of Language-and-Memory Networks in Patients With Temporal Lobe Epilepsy by Using the GE2REC Protocol

Banjac

Roger

Cousin

et al. 2022

Front. Hum. Neurosci.

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“…2 , Panel B). The reduced reconfiguration ability of these modules and regions in patients can be explained by the location of the epileptogenic zones in temporal regions ( Barr, 2015 , Thom and Bertram, 2012 ) so the epileptic discharges could be preventing normal reconfigurations of these regions. Furthermore, the segregation of insulo-cingulate module in TLE during the task can be related to the task demands for overt speech inhibition ( Lœvenbruck et al, 2018 , Oh et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, a more comprehensive understanding of functional interaction based on a specific LMN network can be provided by studying conditions showing the reorganization of language and memory functions, such as temporal lobe epilepsy (TLE) ( Tracy & Boswell, 2008 ). This neurological condition is characterized by seizures induced by an epileptogenic network centered on medial temporal structures ( Barr, 2015 ), associated or not with hippocampal atrophy ( Thom and Bertram, 2012 ). The cognitive deficits of TLE patients suggest dynamic relationship between language and declarative memory ( Alessio et al, 2006 , Bartha-Doering and Trinka, 2014 , Zhao et al, 2014 , Allone et al, 2017 , Bell et al, 2011 , Tramoni-Negre et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration dynamics of a language-and-memory network in healthy participants and patients with temporal lobe epilepsy

Banjac

Roger

Pichat

et al. 2021

NeuroImage: Clinical

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Highlights Language and memory interact as a composite function based on the LMN network. LMN configuration is state- and condition-dependent (healthy–pathological). LMN reconfiguration is reflected in network segregation and integration changes. LMN reconfiguration in HC depends on flexibility of key language and memory regions. LMN reconfiguration in TLE shows increased segregation and closer modules.

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“…It affects more than 50 million people worldwide (WHO, 2018). Although most patients could achieve seizure control with antiepileptic drug (AED) application, unfortunately, despite more appropriate AED therapy, approximately 30% of patients still experience recurrent seizures (de Tisi et al, 2011; Kwan et al, 2011; Barr and Morrison, 2015). Temporal lobe epilepsy (TLE) is the most common type of partial epilepsy often refractory to AEDs and referred for epilepsy surgery (Téllez-Zenteno and Hernández-Ronquillo, 2012).…”

Section: Introductionmentioning

confidence: 99%

Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis

Han

et al. 2019

Front. Neuroinform.

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Identifying lateralization of bilateral temporal lobe epilepsy (TLE) is a challenging issue; scalp electroencephalography (EEG) and routine band electrocorticography (ECoG) fail to reveal the epileptogenic focus for further temporal lobectomy treatment. High-frequency oscillations (HFOs) can be utilized as a biomarker for lateralizing the onset zone in suspected bitemporal epilepsy. Except subjective vision detect the HFOs, objective verification should be performed to raise the accuracy. In the present research, we prospectively studied 10 patients with refractory temporal seizures and who underwent ECoG with wide-band frequency amplifiers (2,048 Hz); all patients had a class I outcome after temporal resection. Pre- and ictal HFOs will be analyzed by wavelet transform (WT) and Granger causality (GC) to objectively verify lateralization of the seizure onset zone (SOZ). WT analysis showed ictal HFOs in 10 patients mainly covered from 80 to 115 Hz (average, 92.59 ± 10.23 Hz), and there was distinct bandpass boundary between pre-ictal HFOs and ictal HFOs. GC analysis showed five patients (2, 4, 5, 6, and 7), no matter the pre-ictal or ictal state, had the highest GC degree in SOZ itself. The remaining patients (1, 3, 8, 9, and 10) had the highest GC degree in SOZ with its adjacent regions in the pre-ictal and ictal stages. GC analysis further confirmed the result of the WT and suggested HFOs are initiated and propagated in the local brain region mainly, afterward, transmitting to adjacent brain regions. These results indicated that the combination of WT and GC analyses significantly contributes to accurate lateralization in patients with suspected bitemporal epilepsy.

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Neuropsychological Assessment of Patients with Epilepsy

Cited by 7 publications

References 110 publications

Mapping of Language-and-Memory Networks in Patients With Temporal Lobe Epilepsy by Using the GE2REC Protocol

Mapping of Language-and-Memory Networks in Patients With Temporal Lobe Epilepsy by Using the GE2REC Protocol

Reconfiguration dynamics of a language-and-memory network in healthy participants and patients with temporal lobe epilepsy

Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis

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