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:Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes
Authors:Vaquero LRamos-Escobar NCucurell DFrançois CPutkinen VSegura EHuotilainen MPenhune VRodríguez-Fornells A
Link:https://pubmed.ncbi.nlm.nih.gov/33454403/
DOI:10.1016/j.neuroimage.2021.117759
Category:Neuroimage
PMID:33454403
Dept Affiliation: MLNP
1 Laboratory of Cognitive and Computational Neuroscience, Complutense University of Madrid and Polytechnic University of Madrid, Campus Científico y Tecnológico de la UPM, Pozuelo de Alarcón, 28223 Madrid, Spain. Electronic address: lucvaq01@ucm.es.
2 Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain.
3 Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France.
4 Turku PET Centre, University of Turku, Turku, Finland.
5 Cicero Learning and Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland.
6 Penhune Laboratory for Motor Learning and Neural Plasticity, Concordia University, Montreal, QC, Canada; International Laboratory for Brain, Music and Sound Research (BRAMS). Montreal, QC, Canada; Center for Research on Brain, Language and Music (CRBLM), McGill University. Montreal, QC, Canada.
7 Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Institució Catalana de recerca i Estudis Avançats (ICREA), Barcelona, Spain.

Description:

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 previously attributed to a fronto-temporo-parietal network which crucially overlaps with the so-called auditory dorsal stream, involving inferior and middle frontal, inferior parietal, and superior and middle temporal regions. These cortical areas are structurally connected by the arcuate fasciculus (AF), a three-branch pathway supporting the feedback-feedforward loop involved in auditory-motor integration, auditory working memory, storage of acoustic templates, as well as comparison and update of those templates. Here, we characterized the individual differences in the white-matter macrostructural properties of the AF and explored their link to the electrophysiological marker of passive change detection gathered in a melodic multifeature MMN-EEG paradigm in 26 healthy young adults without musical training. Our results show that left fronto-temporal white-matter connectivity plays an important role in the pre-attentive detection of rhythm modulations within a melody. Previous studies have shown that this AF segment is also critical for language processing and learning. This strong coupling between structure and function in auditory change detection might be related to life-time linguistic (and possibly musical) exposure and experiences, as well as to timing processing specialization of the left auditory cortex. To the best of our knowledge, this is the first time in which the relationship between neurophysiological (EEG) and brain white-matter connectivity indexes using DTI-tractography are studied together. Thus, the present results, although still exploratory, add to the existing evidence on the importance of studying the constraints imposed on cognitive functions by the underlying structural connectivity.