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

Banjac, Sonja; Roger, Elise; Pichat, Cédric; Cousin, Émilie; Mosca, Chrystèle; Lamalle, Laurent; Krainik, Alexandre; Kahane, Philippe; Baciu, Monica

doi:10.1016/j.nicl.2021.102702

Cited by 18 publications

(16 citation statements)

References 130 publications

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“…At rest, patients present a significant functional disturbance of major connector and provincial hubs (namely IFG and hippocampi), essential for relational binding (L∪M neuroperations; see Figure 5). These functional disturbances are indeed specifically related to poor performance in cognitive indicators requiring the associative linking of verbal information (see our previous works on TLE patients: Banjac et al, 2021;Roger et al, 2019Roger et al, , 2020. Moreover, the spatial pattern of functional alterations largely coincides with…”

Section: Figure 4: Features and Neural Foundation Of The L∪m Frameworkmentioning

confidence: 74%

Missing links: the functional unification of language and memory (L∪M)

Roger¹,

Banjac²,

Schotten³

et al. 2021

Preprint

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The field of neurocognition is currently undergoing a significant change of perspective. Traditional neurocognitive models evolved into an integrative and dynamic vision of cognitive functioning. Dynamic integration assumes an interaction between cognitive domains traditionally considered to be distinct. Language and declarative memory are regarded as separate functions supported by different neural systems. However, they also share anatomical structures (notably, the inferior frontal gyrus, the supplementary motor area, the superior and middle temporal gyrus, and the hippocampal complex) and cognitive processes (such as semantic and working memory) that merge to endorse our quintessential daily lives. We propose a new model, "L∪M" (i.e., Language/union/Memory), that considers these two functions interactively. We fractionated language and declarative memory into three cognitive dimensions, Embodiment-Formulation-Internalization, that communicate reciprocally. We formalized their interactions at the brain level with a connectivity-based approach. This new taxonomy overcomes the modular view of cognitive functioning and reconciles functional specialization with plasticity in neurological disorders.

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Section: Figure 4: Features and Neural Foundation Of The L∪m Frameworkmentioning

confidence: 74%

Missing links: the functional unification of language and memory (L∪M)

Roger¹,

Banjac²,

Schotten³

et al. 2021

Preprint

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“…In this study, we applied the GE2REC protocol previously validated in healthy participants (see Banjac et al, 2020Banjac et al, , 2021 to map LMN underlying the language and declarative memory interaction in a group of LTLE patients, candidates for surgery. Functional interactivity of the protocol is provided since each task demands both functions (see Banjac et al, 2021), and the three runs are interrelated.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we applied the GE2REC protocol previously validated in healthy participants (see Banjac et al, 2020 , 2021 ) to map LMN underlying the language and declarative memory interaction in a group of LTLE patients, candidates for surgery. Functional interactivity of the protocol is provided since each task demands both functions (see Banjac et al, 2021 ), and the three runs are interrelated. Specifically, during GE, participants perform word recognition, lexico-semantic search, and sentence production, as well as implicit encoding and contextual binding, particularly related to episodic memory ( Yonelinas et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…Finally, RA engages word recognition, lexico-semantic search that triggers episodic retrieval and concept access, sentence recall, and sentence production ( Banjac et al, 2021 ). In terms of memory, this protocol assesses declarative memory since GE2REC task performance engages both episodic and semantic memory, accessing different memory processes throughout the tasks (encoding – retrieval – recall; Burianova et al, 2010 ; Palacio and Cardenas, 2019 ; Banjac et al, 2021 ). In this paper, the generic term memory will be used to indicate different types and several memory processes.…”

Section: Discussionmentioning

confidence: 99%

“…Since the clinical utility of an fMRI protocol is highly associated with its ability to identify the dominant hemisphere for a specific function and the network of regions engaged in that function ( Benjamin et al, 2020 ), the analyses employed in this study aimed to determine the regions active during interactive language and memory GE2REC tasks. Nevertheless, other analyses could also be applied to the fMRI data obtained with this protocol, such as functional connectivity ( Banjac et al, 2021 ) that can also contribute to the presurgical evaluation of epilepsy patients ( Foesleitner et al, 2021 ).…”

Section: Methodsmentioning

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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Modeling the neurocognitive dynamics of language across the lifespan

Guichet,

Banjac,

Achard

et al. 2024

Human Brain Mapping

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Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed between language comprehension and language production (LP). Examining resting‐state fMRI and neuropsychological data from 628 healthy adults (age 18–88) from the CamCAN cohort, we performed state‐of‐the‐art graph theoretical analysis to uncover the neural mechanisms underlying this variability. At the cognitive level, our findings suggest that LP is not an isolated function but is modulated throughout the lifespan by the extent of inter‐cognitive synergy between semantic and domain‐general processes. At the cerebral level, we show that default mode network (DMN) suppression coupled with fronto‐parietal network (FPN) integration is the way for the brain to compensate for the effects of dedifferentiation at a minimal cost, efficiently mitigating the age‐related decline in LP. Relatedly, reduced DMN suppression in midlife could compromise the ability to manage the cost of FPN integration. This may prompt older adults to adopt a more cost‐efficient compensatory strategy that maintains global homeostasis at the expense of LP performances. Taken together, we propose that midlife represents a critical neurocognitive juncture that signifies the onset of LP decline, as older adults gradually lose control over semantic representations. We summarize our findings in a novel synergistic, economical, nonlinear, emergent, cognitive aging model, integrating connectomic and cognitive dimensions within a complex system perspective.

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

Cited by 18 publications

References 130 publications

Missing links: the functional unification of language and memory (L∪M)

Missing links: the functional unification of language and memory (L∪M)

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

Modeling the neurocognitive dynamics of language across the lifespan

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