References of "Van Calster, Laurens"
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See detailVisuospatial bias in line bisection in Williams syndrome
Saj, Arnaud; Heiz, Julie; Van Calster, Laurens ULiege et al

in Journal of Intellectual Disability Research (2019)

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See detailNeural patterns in linguistic cortices discriminate the content of verbal working memory
Kowialiewski, Benjamin ULiege; Van Calster, Laurens ULiege; Attout, Lucie ULiege et al

Conference (2019, May 14)

Verbal working memory (WM) is characterized by the presence of psycholinguistic effects, whereby items associated with richer linguistic representations are usually better recalled, such as words vs ... [more ▼]

Verbal working memory (WM) is characterized by the presence of psycholinguistic effects, whereby items associated with richer linguistic representations are usually better recalled, such as words vs. nonwords (lexicality effect). This effect is accounted for by language-based models, assuming a direct and obligatory involvement of lexical linguistic knowledge at all stages of WM processing or by redintegration models considering that lexical linguistic knowledge only intervenes during post-memory trace reconstructive processes. We contrasted these two accounts in functional neuroimaging experiment by assessing to what extent and at what WM stage word and nonword memoranda can be distinguished based on their multivariate neural patterns in linguistic cortices. fMRI scans were obtained from 28 healthy young adult participants. The participants were invited to encode lists composed of word or nonword items presented at a very fast rate (2 items/s) and to maintain the items over a 6-second delay or not, followed by a probe recognition phase. Multivariate voxel pattern analyses successfully decoded word and nonword stimuli during the encoding phase in all conditions, as well as during the maintenance phase but only during the active maintenance condition. This study supports language-based WM models assuming continuous support of linguistic knowledge during all WM stages. [less ▲]

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See detailDevelopmental trajectory of number line estimation and spatial abilities in school age children
Van Calster, Laurens ULiege; Heiz, Julie; Saj, Arnaud et al

Poster (2019)

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See detailTrajectoire développementale de l’estimation de nombre et capacités spatiales chez les enfants scolarisés.
Van Calster, Laurens ULiege; Heiz, Julie; Saj, Arnaud et al

Conference (2019)

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See detailNeural functional correlates of the impact of socio-emotional stimuli on performances on a flanker task in children aged 9–11 years
Réveillon, Morgane; Lazeyras, François; Van Calster, Laurens ULiege et al

in Neuropsychologia (2018)

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See detailCortico-Cerebellar Pathways for Understanding Language Coordination
Dumitru, Magdalena ULiege; Van Calster, Laurens ULiege; Bouffier, Marion ULiege et al

Poster (2018, March 25)

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See detailDevelopmental trajectory of the body's sagittal plane representation
Saj, Arnaud; Heiz, Julie; Berney, Sandra et al

in Neurophysiologie Clinique (2017)

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See detailLaterality patterns for Gestalts of language
Dumitru, Magdalena ULiege; Van Calster, Laurens ULiege; Bouffier, Marion ULiege et al

Poster (2017, September 07)

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See detailFluctuations of Attentional Networks and Default Mode Network during the Resting State Reflect Variations in Cognitive States: Evidence from a Novel Resting-state
Van Calster, Laurens ULiege; D'Argembeau, Arnaud ULiege; SALMON, Eric ULiege et al

in Journal of Cognitive Neuroscience (2017)

Neuroimaging studies have revealed the recruitment of a range of neural networks during the resting state, which might reflect a variety of cognitive experiences and processes occurring in an individual's ... [more ▼]

Neuroimaging studies have revealed the recruitment of a range of neural networks during the resting state, which might reflect a variety of cognitive experiences and processes occurring in an individual's mind. In this study, we focused on the default mode network (DMN) and attentional networks and investigated their association with distinct mental states when participants are not performing an explicit task. To investigate the range of possible cognitive experiences more directly, this study proposes a novel method of resting-state fMRI experience sampling, informed by a phenomenological investigation of the fluctuation of mental states during the resting state. We hypothesized that DMN activity would increase as a function of internal mentation and that the activity of dorsal and ventral networks would indicate states of top–down versus bottom–up attention at rest. Results showed that dorsal attention network activity fluctuated as a function of subjective reports of attentional control, providing evidence that activity of this network reflects the perceived recruitment of controlled attentional processes during spontaneous cognition. Activity of the DMN increased when participants reported to be in a subjective state of internal mentation, but not when they reported to be in a state of perception. This study provides direct evidence for a link between fluctuations of resting-state neural activity and fluctuations in specific cognitive processes. [less ▲]

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See detailCross-Modal Decoding of Neural Patterns Associated with Working Memory: Evidence for Attention-Based Accounts of Working Memory
Majerus, Steve ULiege; Cowan, Nelson; Peters, Frédéric ULiege et al

in Cerebral Cortex (2016), 26

Recent studies suggest common neural substrates involved in verbal and visual working memory (WM), interpreted as reflecting shared attention-based, short-term retention mechanisms. We used a machine ... [more ▼]

Recent studies suggest common neural substrates involved in verbal and visual working memory (WM), interpreted as reflecting shared attention-based, short-term retention mechanisms. We used a machine-learning approach to determine more directly the extent to which common neural patterns characterize retention in verbal WM and visual WM. Verbal WM was assessed via a standard delayed probe recognition task for letter sequences of variable length. Visual WM was assessed via a visual array WM task involving the maintenance of variable amounts of visual information in the focus of attention. We trained a classifier to distinguish neural activation patterns associated with high- and low-visual WM load and tested the ability of this classifier to predict verbal WM load (high–low) from their associated neural activation patterns, and vice versa. We observed significant between-task prediction of load effects during WM maintenance, in posterior parietal and superior frontal regions of the dorsal attention network; in contrast, between-task prediction in sensory processing cortices was restricted to the encoding stage. Furthermore, between-task prediction of load effects was strongest in those participants presenting the highest capacity for the visual WM task. This study provides novel evidence for common, attention-based neural patterns supporting verbal and visual WM. [less ▲]

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See detailMon cerveau, un ordinateur ?!
Dethier, Julie ULiege; Noirhomme, Quentin; Van Calster, Laurens ULiege

Conference given outside the academic context (2014)

Dôter les ordinateur d'un cerveau ou faire assister nos cerveaux par des ordinateurs ? Trois chercheurs abordaient ces thématiques lors d'un Doc'Café mi-homme, mi-machine.

Detailed reference viewed: 47 (14 ULiège)
See detailDecoding neural correlates of verbal working memory by attention-based visual working memory.
Majerus, Steve ULiege; Cowan, N.; Péters, N. et al

Scientific conference (2014)

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See detailCerebral Activity Changes in Trained Expert Calculators
Van Calster, Laurens ULiege; Pesenti, Mauro

Conference (2013)

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See detailBrain Activity Shifts in Trained Expert Calculators
Van Calster, Laurens ULiege; Pesenti, Mauro

Poster (2013)

Detailed reference viewed: 17 (1 ULiège)