Keyword search (3,619 papers available)


Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes

Author(s): Vaquero L; Ramos-Escobar N; Cucurell D; François C; Putkinen V; Segura E; Huotilainen M; Penhune V; Rodríguez-Fornells A;...

The mismatch negativity (MMN) is an event related brain potential (ERP) elicited by unpredicted sounds presented in a sequence of repeated auditory stimuli. The neural sources of the MMN have been ...

Article GUID: 33454403

Cortical gradients of functional connectivity are robust to state-dependent changes following sleep deprivation.

Author(s): Cross N; Paquola C; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Bernhardt BC; Grova C; Dang-Vu TT;...

Sleep deprivation leads to significant impairments in cognitive performance and changes to the interactions between large scale cortical networks, yet the hierarchical organisation of cortical acti...

Article GUID: 33186718

The sensation of groove engages motor and reward networks.

Author(s): Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB

Neuroimage. 2020 Mar 23;:116768 Authors: Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB

Article GUID: 32217163

What you learn & when you learn it: Impact of early bilingual & music experience on the structural characteristics of auditory-motor pathways

Author(s): Vaquero L; Rousseau PN; Vozian D; Klein D; Penhune V;

Music and language engage the dorsal auditory pathway, linked by the arcuate fasciculus (AF). Sustained practice in these activities can modify brain structure, depending on length of experience but also age of onset (AoO). To study the impact of early expe...

Article GUID: 32119984

Investigating microstructural variation in the human hippocampus using non-negative matrix factorization.

Author(s): Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM

Neuroimage. 2019 Nov 09;:116348 Authors: Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM

Article GUID: 31715254

BOLD signal physiology: Models and applications.

Author(s): Gauthier CJ, Fan AP

Neuroimage. 2019 02 15;187:116-127 Authors: Gauthier CJ, Fan AP

Article GUID: 29544818

ERP evidence of adaptive changes in error processing and attentional control during rhythm synchronization learning

Author(s): Padrão G; Penhune V; de Diego-Balaguer R; Marco-Pallares J; Rodriguez-Fornells A;

The ability to detect and use information from errors is essential during the acquisition of new skills. There is now a wealth of evidence about the brain mechanisms involved in error processing. However, the extent to which those mechanisms are engaged dur...

Article GUID: 24956067

White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians

Author(s): Vaquero L; Ramos-Escobar N; François C; Penhune V; Rodríguez-Fornells A;

Music learning has received increasing attention in the last decades due to the variety of functions and brain plasticity effects involved during its practice. Most previous reports interpreted the differences between music experts and laymen as the result ...

Article GUID: 29929006

Regional cerebellar volumes are related to early musical training and finger tapping performance.

Author(s): Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB

Neuroimage. 2015 Apr 01;109:130-9 Authors: Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB

Article GUID: 25583606

Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity.

Author(s): Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Neuroimage. 2016 05 01;131:55-72 Authors: Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Article GUID: 26318050

SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity.

Author(s): Lee K, Lina JM, Gotman J, Grova C

Neuroimage. 2016 07 01;134:434-449 Authors: Lee K, Lina JM, Gotman J, Grova C

Article GUID: 27046111

L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action.

Author(s): Kroemer NB, Lee Y, Pooseh S, Eppinger B, Goschke T, Smolka MN

Neuroimage. 2019 02 01;186:113-125 Authors: Kroemer NB, Lee Y, Pooseh S, Eppinger B, Goschke T, Smolka MN

Article GUID: 30381245

Tracking the microstructural properties of the main white matter pathways underlying speech processing in simultaneous interpreters

Author(s): Elmer S; Hänggi J; Vaquero L; Cadena GO; François C; Rodríguez-Fornells A;

Due to the high linguistic and cognitive demands placed on real-time language translation, professional simultaneous interpreters (SIs) have previously been proposed to serve as a reasonable model for evaluating experience-dependent brain properties. Howeve...

Article GUID: 30831314

Cortical reactivations during sleep spindles following declarative learning.

Author(s): Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT

Neuroimage. 2019 Jul 15;195:104-112 Authors: Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT

Article GUID: 30928690

Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data.

Author(s): Chowdhury RA, Merlet I, Birot G, Kobayashi E, Nica A, Biraben A, Wendling F, Lina JM, Albera L, Grova C...

Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data.
Neuroimage. 2016 De...

Article GUID: 27561712

Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.

Author(s): Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Neuroimage. 2017 04 01;149:233-243 Authors: Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Article GUID: 28159689

Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.

Author(s): Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C

Neuroimage. 2017 08 15;157:531-544 Authors: Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C

Article GUID: 28619655


Title:Cortical reactivations during sleep spindles following declarative learning.
Authors:Jegou ASchabus MGosseries ODahmen BAlbouy GDesseilles MSterpenich VPhillips CMaquet PGrova CDang-Vu TT
Link:https://www.ncbi.nlm.nih.gov/pubmed/30928690?dopt=Abstract
DOI:10.1016/j.neuroimage.2019.03.051
Category:Neuroimage
PMID:30928690
Dept Affiliation: PERFORM
1 PERFORM Center, Concordia University, 7200 Sherbrooke St W, H4B 1R6, Montreal, Canada; Department of Physics, Concordia University, 7141 Sherbrooke St W, H4B 1R6, Montreal, Canada; Center for Studies in Behavioral Neurobiology (CSBN), Concordia University, 7141 Sherbrooke St W, H4B 1R6, Montreal, Canada.
2 Center for Cognitive Neuroscience (CCNS), Department of Psychology, University of Salzburg, 34 Hellbrunnerstr., 5020, Salzburg, Austria.
3 GIGA Institute, University of Liège, 1 Avenue de l'Hôpital, 4000, Liege, Belgium; Department of Neurology, University of Liege, 1 Avenue de l'Hôpital, 4000, Liege, Belgium.
4 Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Neuenhofer Weg 21, 52074, Aachen, Germany.
5 Department of Movement Sciences, KU Leuven, 101 Tervuursevest, 3001, Leuven, Belgium.
6 Department of Psychology, University of Namur, 61 Rue de Bruxelles, 5000, Namur, Belgium.
7 Department of Neuroscience, University Medical Center, 9 Chemin des Mines, 1202, Geneva, Switzerland.
8 GIGA Institute, University of Liège, 1 Avenue de l'Hôpital, 4000, Liege, Belgium.
9 PERFORM Center, Concordia University, 7200 Sherbrooke St W, H4B 1R6, Montreal, Canada; Department of Physics, Concordia University, 7141 Sherbrooke St W, H4B 1R6, Montreal, Canada; Department of Biomedical Engineering, McGill University, 3801 University St, H3A 2B4, Montreal, Canada; Department of Neurology and Neurosurgery, McGill University, 3801 University St, H3A 2B4, Montreal, Canada.
10 PERFORM Center, Concordia University, 7200 Sherbrooke St W, H4B 1R6, Montreal, Canada; Center for Studies in Behavioral Neurobiology (CSBN), Concordia University, 7141 Sherbrooke St W, H4B 1R6, Montreal, Canada; Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke St W, H4B 1R6, Montreal, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), 4545 Chemin Queen-Mary, M7834, H3W 1W5, Montreal, Canada. Electronic address: tt.dangvu@concordia.ca.

Description:

Cortical reactivations during sleep spindles following declarative learning.

Neuroimage. 2019 Jul 15;195:104-112

Authors: Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT

Abstract

Increasing evidence suggests that sleep spindles are involved in memory consolidation, but few studies have investigated the effects of learning on brain responses associated with spindles in humans. Here we used simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) during sleep to assess haemodynamic brain responses related to spindles after learning. Twenty young healthy participants were scanned with EEG/fMRI during (i) a declarative memory face sequence learning task, (ii) subsequent sleep, and (iii) recall after sleep (learning night). As a control condition an identical EEG/fMRI scanning protocol was performed after participants over-learned the face sequence task to complete mastery (control night). Results demonstrated increased responses in the fusiform gyrus both during encoding before sleep and during successful recall after sleep, in the learning night compared to the control night. During sleep, a larger response in the fusiform gyrus was observed in the presence of fast spindles during the learning as compared to the control night. Our findings support a cortical reactivation during fast spindles of brain regions previously involved in declarative learning and subsequently activated during memory recall, thereby promoting the cortical consolidation of memory traces.

PMID: 30928690 [PubMed - in process]