Monica Baciu

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Verified

Monica verified their affiliation via an institutional email.

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• MD, PhD
• Professor (Full) at Grenoble Alpes University

Lexical production performances have been associated with cognitive control demands increase with age to support efficient semantic access, thus suggesting an interplay between a domain-general and a language-specific component. Current neurocognitive models suggest the Default Mode Network (DMN) and Fronto-Parietal Network (FPN) connectivity may d...

Understanding the relative contribution of various factors influencing initial severity of aphasia and recovery after a stroke is essential for optimising neurorehabilitation programmes. We investigated how various significant sociodemographic, cognitive, clinical, stroke-related and rehabilitation-related factors modulate aphasia severity and lang...

While cognitive flexibility challenges are frequently reported in autistic individuals, inconsistencies in the findings prompt further investigation into the factors influencing this flexibility. We suggest that unique aspects of the predictive brain in autistic individuals might contribute to these challenges, potentially varying by sex. Our study...

Background Autistic individuals often have difficulty flexibly adjusting their behavior. However, laboratory experiments have yielded inconsistent results, potentially due to various influencing factors, which need to be examined in detail. This study aimed to investigate the hypothesis that the social content of stimuli could play a specific role...

We aimed to examine the white matter changes associated with lexical production difficulties, beginning in midlife with increased naming latencies. To delay lexical production decline, middle-aged adults may rely on domain-general and language-specific compensatory mechanisms proposed by the LARA model (Lexical Access and Retrieval in Aging). Howev...

Lexical production remains relatively preserved across the lifespan, but cognitive control demands increase with age to support efficient semantic access. It suggests a domain-general and a language-specific component. Current neurocognitive models suggest the Default Mode Network (DMN) may drive the interplay between these components, impacting th...

Understanding the relative contribution of various factors influencing initial severity of aphasia and recovery after a stroke is essential for optimizing neurorehabilitation programs. We investigated how various significant sociodemographic, cognitive, clinical, stroke-related, and rehabilitation-related factors modulate aphasia severity and langu...

Understanding the relative contribution of various factors influencing initial severity of aphasia and recovery after a stroke is essential for optimizing neurorehabilitation programs. We investigated how various significant sociodemographic, cognitive, clinical, stroke-related, and rehabilitation-related factors modulate aphasia severity and langu...

The evaluation of cognitive functions interactions has become increasingly implemented in the cognition exploration. In the present study, we propose to examine the organization of the cognitive network in healthy participants through the analysis of behavioral performances in several cognitive domains. Specifically, we aim to explore cognitive int...

Rasmussen’s encephalitis is a rare neurological pathology affecting one cerebral hemisphere, therefore, posing unique challenges. Patients may undergo hemispherectomy, a surgical procedure after which cognitive development occurs in the isolated contralateral hemisphere. This rare situation provides an excellent opportunity to evaluate brain plasti...

As people age, there is a natural decline in cognitive functioning and brain structure. However, the relationship between brain function and cognition in older adults is neither straightforward nor uniform. Instead, it is complex, influenced by multiple factors, and can vary considerably from one person to another. Reserve, compensation, and mainte...

Autistic individuals often present difficulties in flexibly adjusting their behavior, yet laboratory experiments have yielded inconsistent results, potentially due to various influencing factors requiring precise examination. This study aimed to investigate the hypothesis that the social content of stimuli could play a specific role in some of the...

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...

This study aimed to elucidate the white matter changes associated with lexical production (LP) difficulties that typically emerge in middle age, resulting in increased naming latencies. To delay the onset of LP decline, middle-aged adults may rely on domain-general (DG) and language-specific (LS) compensatory mechanisms as proposed by the LARA mode...

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...

Aging engenders neuroadaptations, generally reducing specificity and selectivity in functional brain responses. Our investigation delves into the functional specialization of brain hemispheres within language-related networks across adulthood. In a cohort of 728 healthy adults spanning ages 18 to 88, we modeled the trajectories of inter-hemispheric...

The evaluation of cognitive functions interactions has become increasingly implemented in the cognition exploration. In the present study, we propose to examine the organization of the cognitive network in healthy participants through the analysis of behavioral performances in several cognitive domains. Specifically, we aim to explore cognitive int...

Le vieillissement normal induit un déclin progressif mais hétérogène de l’anatomie cérébrale et des fonctions cognitives. Les processus apparentés à l’intelligence fluide seraient plus sensibles à l’effet de l’âge que ceux d’intelligence cristallisée. Par ailleurs, même pour des fonctions plus résilientes à l’âge, tel que le langage, certains proce...

As people age, there is a decline in the specificity, selectivity, and lateralization of functional brain responses. Language-related neural networks are predominantly left-lateralized in healthy adults, and there have been reports of significant changes in these networks with age. However, the evolution of hemispheric specialization for language w...

The prevailing view in human cognitive neuroscience associates the medial temporal lobes (MTLs) with declarative memory. Compelling experimental evidence has, however, demonstrated that these regions are specialized according to the representations processed, irrespective of the cognitive domain assessed. This account was supported by the study of...

Resective surgery is the treatment of choice for one-third of adult patients with focal, drug-resistant epilepsy. This procedure is associated with substantial clinical and cognitive risks. In clinical practice, there is no validated model for epilepsy surgery outcome prediction (ESOP). Meta-analyses on ESOP studies assessing prognostic factors rep...

BACKGROUND Rasmussen encephalitis is a rare chronic neurological pathology frequently treated with functional hemispherectomy (or hemispherotomy). This surgical procedure frees patients of their severe epilepsy associated with the disease but may induce cognitive disorders and notably language alterations after disconnection of the left hemisphere....

Language processing is a highly integrative function, intertwining linguistic operations (processing the language code intentionally used for communication) and extra-linguistic processes (e.g., attention monitoring, predictive inference, long-term memory). This synergetic cognitive architecture requires a distributed and specialized neural substra...

A computational model of speech perception, COSMO (Laurent et al., 2017), predicts that speech sounds should evoke both auditory representations in temporal areas and motor representations mainly in inferior frontal areas. Importantly, the model also predicts that auditory representations should be narrower, i.e. more focused on typical stimuli, th...

An accurate description of brain white matter anatomy in vivo remains a challenge. However, technical progress allows us to analyze structural variations in an increasingly sophisticated way. Current methods of processing diffusion MRI data now make it possible to correct some limiting biases. In addition, the development of statistical learning al...

Language processing is a highly integrative function, intertwining linguistic operations (processing the language code intentionally used for communication) and extra-linguistic processes (e.g., attention monitoring, predictive inference, long-term memory). This synergetic cognitive architecture requires a distributed and specialized neural substra...

La rééducation du langage et de la parole dans le cadre de l’aphasie post-AVC est fondamentale pour aider le patient à retrouver ses capacités de communication, ainsi que son insertion familiale, sociétale et professionnelle. Cependant, en phase chronique, l’efficacité de la méthode classique de rééducation, la méthode orthophonique, diminue et l’a...

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 l...

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...

Purpose: Canonical sentence structures are the most frequently used in a given language. Less frequent or non-canonical sentences tend to be more challenging to process and to induce a higher cognitive load. To deal with this complexity several authors suggest that not only linguistic but also non-linguistic (domain-general) mechanisms are involved...

By assessing the cognitive capital, neuropsychological evaluation (NPE) plays a vital role in the perioperative workup of patients with refractory focal epilepsy. In this retrospective study, we used cutting-edge statistical approaches to examine a group of 47 patients with refractory temporal lobe epilepsy (TLE), who underwent standard anterior te...

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...

Language is a highly integrative function, mixing intra-linguistic (e.g., knowledge about sounds, grammar, word meaning) and extra-linguistic (e.g., attention monitoring, predictive inferences, long-term memory) processes. This interactive cognitive architecture requires a distributed and specialized neural substrate. Brain subsystems – featured to...

We present a computerize battery constructed to evaluate behavioral performances for language, declarative memory, executive functions and social cognition abilities. This battery was created to evaluate cognitive outcomes in adults who underwent hemispherotomy as a clinical treatment of Rasmussen Encephalitis (RE) in their childhood and have been...

Previous studies have highlighted the importance of considering cognitive functions from a dynamic and interactive perspective and multiple evidence was brought for a language and memory interaction. In this study performed with healthy participants, we present a new protocol entitled GE2REC that interactively accesses the neural representation of...

In the absence of any neuropsychiatric condition, older adults may show declining performance in several cognitive processes and among them, in retrieving and producing words, reflected in slower responses and even reduced accuracy compared to younger adults. To overcome this difficulty, healthy older adults implement compensatory strategies, which...

Current theoretical frameworks suggest that human behaviors are based on strong and complex interactions between cognitive processes such as those underlying language and memory functions in normal and neurological populations. We were interested in assessing the dynamic cerebral substrate of such interaction between language and declarative memory...

Objective To test the hypothesis that lateropulsion is an entity expressing an impaired body orientation with respect to gravity, in relation to a biased graviception and spatial neglect. Methods Data from the DOBRAS cohort (ClinicalTrials.gov: NCT03203109 ), were collected 30 days after a first hemisphere stroke. Lateral body tilt, pushing and re...

Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles then relies on metrics either coming from the tractography process itself or from each voxel along the bundle. S...

Objective To test the hypothesis that the impaired body orientation with respect to gravity (lateropulsion) would play a key role in post-stroke balance and gait disorders. Methods Cohort study of 220 individuals consecutively admitted to a neurorehabilitation ward after a first hemisphere stroke (Cohort DOBRAS 2012-2018, ClinicalTrials.gov: NCT03...

Objective: To test the hypothesis that the impaired body orientation with respect to gravity (lateropulsion) would play a key role in post-stroke balance and gait disorders. Methods: Cohort study of 220 individuals consecutively admitted to a neurorehabilitation ward after a first hemisphere stroke (Cohort DOBRAS 2012-2018, ClinicalTrials.gov: NCT...

Question: Studies on the remediation of speech disorders suggest that visualizing speech articulators may contribute to improve speech abilities. We evaluated the effect of a new rehabilitation method based on the display of pre-recorded articulatory movements, on the speech recovery of a patient with post-stroke non-fluent chronic aphasia. Method...

The article Interactive mapping of language and memory with the GE2REC protocol, written by Sonja Banjac, Elise Roger, Emilie Cousin, Marcela Perrone-Bertolotti, Célise Haldin, Cédric Pichat, Laurent Lamalle, Lorella Minotti, Philippe Kahane, and Monica Baciu was originally published electronically on the publisher’s internet portal on August 06, 2...

Direct electrical stimulation (DES) at 50 Hz is used as a gold standard to map cognitive functions but little is known about its ability to map large‐scale networks and specific subnetwork. In the present study, we aim to propose a new methodological approach to evaluate the specific hypothesis suggesting that language errors/dysfunction induced by...

Both syntax and Executive Functions (EF) are involved in Theory‐of‐Mind (ToM) but their contributory roles have mainly been studied separately. Moreover, researchers have mostly administered False Belief (FB) tasks while they may not be representative of all ToM abilities. Studies of adults give valuable information regarding whether syntax and EF...

The extent and spatial location of white matter (WM) MRI abnormalities are related to distinct cognitive profiles in epilepsy [1]. Diffusion MRI (dMRI) appears, in addition, clinically relevant to predict the surgical outcomes in intractable forms, notably in temporal lobe epilepsy (TLE) [2]. However, dMRI metrics remain complex to analyze and are...

Language is a highly integrative process that recruits a complex array of both low and high-ordered functional systems [1]. Resting-state fMRI (rs-fMRI) hold great promise to characterize the organization of cognitive networks [2]. However, rs-fMRI only provide a partial view of the language architecture. Task-based fMRI, on the other hand, can rel...

Recent studies on the remediation of speech disorders suggest that providing visual information of speech articulators may contribute to improve speech production. In this study, we evaluate the effectiveness of an illustration-based rehabilitation method on speech recovery of a patient with non-fluent chronic aphasia. The Ultraspeech-player softwa...

Recent studies on the remediation of speech disorders suggest that providing visual information of speech articulators may contribute to improve speech production. In this study, we evaluate the effectiveness of an illustration-based rehabilitation method on speech recovery of a patient with non-fluent chronic aphasia. The Ultraspeech-player softwa...

Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles then relies on metrics either coming from the tractography process itself or from each voxel along the bundle. S...

We present an application of a non-linear manifold learning for fMRI data with the aim of exploring the abnormal patterns of activations within high-dimensional language and memory network in patients with temporal lobe epilepsy. The presented approach can be very useful for small sample or single case studies.

We aimed to identify cognitive signatures (phenotypes) of patients suffering from mesial temporal lobe epilepsy (mTLE) with respect to their epilepsy lateralization (left or right), through the use of SVM (Support Vector Machine) and XGBoost (eXtreme Gradient Boosting) machine learning (ML) algorithms. Specifically, we explored the ability of the t...

OBJECTIVE The authors assessed the clinical relevance of preoperative task-induced high-frequency activity (HFA) for language mapping in patients with refractory epilepsy during stereoelectroencephalography recording. Although HFA evaluation was described as a putative biomarker of cognition, its clinical relevance for mapping language networks was...

COVER ILLUSTRATION Representation of a resting‐state fMRI map projected on a 3D brain render and on which is affixed/anchored a correlation matrix derived from resting‐state fMRI data, serving as the basis for assessing functional connectivity.

The decision to process an incoming stimulus attentively - and to trigger a follow-up cascade of high-level processes - is strategic for the human brain as it becomes transiently unavailable to subsequent stimulus processing. In this study, we set to identify brain networks that carry out such evaluations. We therefore assessed the time-course of n...

Previous studies have highlighted the importance of considering cognitive functions in a dynamic and interactive perspective and multiple evidence was brought for a language and memory interaction. In this study performed in healthy participants, we developed a new protocol entitled GE2REC that interactively accesses the neural representation of th...

Le trouble bipolaire (TB) est une pathologie chronique de l’humeur, caractérisée par des perturbations du fonctionnement émotionnel et cognitif lors des périodes dépressives, maniaques, et intercritiques (euthymiques). Au niveau cérébral, ces troubles de la régulation émotionnelle pourraient être sous-tendus des anomalies structurelles et fonctionn...

Aims. We report two patients suffering from drug‐resistant temporal lobe epilepsy to show how their neuroplasticity can be apprehended using a multimodal, integrative and clinically relevant approach. Methods. This is a proof of concept based on using multimodal data including: (1) white matter structural connectivity (DTI) of the main tracts invol...

Mesial temporal lobe epilepsy (mTLE) affects the brain networks at several levels and patients suffering from mTLE experience cognitive impairment for language and memory. Considering the importance of language and memory reorganization in this condition, the present study explores changes of the embedded language‐and‐memory network (LMN) in terms...

Inner speech has been shown to vary in form along several dimensions. Along condensation, condensed inner speech forms have been described, that are supposed to be deprived of acoustic, phonological and even syntactic qualities. Expanded forms, on the other extreme, display articulatory and auditory properties. Along dialogality, inner speech can b...

In patients with temporal lobe epilepsy (TLE), the benefit of temporal surgery must be carefully evaluated taking into consideration the risk of inducing the impairments since surgery can lead to postoperative memory and language deficits. Considering that mesial temporal regions are implied in both of these processes, it should be essential to eva...

Des études portant sur la rééducation de la parole chez des patients aphasiques montrent que l'ajout d'un support visuel, en complément du support auditif utilisé classiquement, peut être utile pour la récupération de la parole. Nous avons évalué une méthode de rééducation basée sur l'intégration perceptivo-motrice (IPM) via le logiciel Ultraspeech...

Drug-resistant mesial temporal lobe epilepsy (mTLE) is a severe neurological condition very often associated with brain injury and cognitive dysfunctions. Different clinical variables such as the hemispherical lateralization of the epileptogenic zone (EZ), can modulate these cognitive deficits. Our first objective was to identify neuropsychological...

Introduction La leucoaraïose est associée aux troubles de l’équilibre et de la marche chez les personnes âgées, mais son effet sur ces troubles après l’AVC reste à clarifier. Le but de cette étude était de déterminer si la leucoaraïose affecte les capacités d’équilibre et de marche après l’AVC. Matériel et méthodes L’étude consiste en une analyse...

The nature of inner language has long been under the scrutiny of humanities, through the practice of introspection. The use of experimental methods in cognitive neurosciences provides complementary insights. This chapter focuses on wilful expanded inner language, bearing in mind that other forms coexist. It first considers the abstract vs. concrete...

Recent advances in the field of artificial intelligence have revealed principles about neural processing, in particular about vision. Previous work demonstrated a direct correspondence between the hierarchy of the human visual areas and layers of deep convolutional neural networks (DCNN) trained on visual object recognition. We use DCNN to investig...

Introduction/Background The sense of verticality results from a complex multisensory integration suggesting the existence of internal models of verticality perception. Recent data from our team suggest that the parietal operculum, the posterior insula and the posterior-lateral thalamus, in the right hemisphere, constitute the core polymodal regions...

Normal aging is characterized by decline in cognitive functioning in conjunction with extensive grey matter (GM) atrophy. A first aim of this study was to determine GM volume differences related to aging by comparing two groups of participants, middle-aged (MAG, mean age 41 years, N=16) and older adults (OG, mean age 71 years, N=14) who underwent a...

Introduction. Temporal lobe epilepsy (TLE) accounts for 70-80% of epilepsy in adults (1). The dysfunction (epileptic zone, EZ) is located in the temporal lobe and induces language and memory reorganization of cerebral networks and various degrees of cognitive efficiency. TLE patients should be explored according to a multimodal integrative perspect...

In this dynamic causal modeling (DCM) study, we evaluated the effect of age on the effective connectivity of a cerebral network involved in lexical production. Younger and older adults performed an object naming task during fMRI. The DCM was used to explore the interactions between four regions of interest: the occipital cortex, OC; the lateral tem...

This work has been accepted for publication in Nature (Communication Biology). Description: Previous work demonstrated a direct correspondence between the hierarchy of the human visual areas and layers of deep convolutional neural networks (DCNN) trained on visual object recognition. We used DCNNs to investigate which frequency bands correlate wit...

Increasing attention is being paid to the assessment of white matter properties and its structural connectivity, both in healthy subjects and patients with cerebral lesions. Within this framework, new neurocognitive models based on hodological properties have been developed under a connectomic perspective in order to explain substrates and cognitiv...

Introduction. Drug-resistant temporal lobe epilepsy (TLE) is a severe neurological condition that causes brain injury due to the recurrence of epileptic seizures, with mostly language (L) and memory (M) impairments. Our research aims to: (i) specify the properties of functional modifications on a language and memory network (LMN), according to the...