Keyword search (4,163 papers available)

"Connectivity" Keyword-tagged Publications:

Title Authors PubMed ID
1 Probing cognitive reserve with resting state functional connectivity in subcortical ischemic vascular cognitive impairment Gu Y; Hsu CL; Boa Sorte Silva NC; Tam RC; Alkeridy WA; Lam K; Liu-Ambrose T; 41929984
HKAP
2 Pontine Functional Connectivity Gradients Rousseau PN; Bazin PL; Steele CJ; 41420671
SOH
3 Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles Rattray GF; Jourde HR; Baillet S; Coffey EBJ; 41002111
PSYCHOLOGY
4 Effect of a single dose of lorazepam on resting state functional connectivity in healthy adults Ferland MC; Wang R; Therrien-Blanchet JM; Remahi S; Côté S; Fréchette AJ; Dang-Vu TT; Liu H; Lepage JF; Théoret H; 40646404
PERFORM
5 Hearing loss is associated with decreased default-mode network connectivity in individuals with mild cognitive impairment Grant N; Phillips N; 40567819
PSYCHOLOGY
6 Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep Avigdor T; Peter-Derex L; Ho A; Schiller K; Wang Y; Abdallah C; Delaire E; Jaber K; Travnicek V; Grova C; Frauscher B; 40394955
SOH
7 The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B; 40126936
PERFORM
8 Sleep neuroimaging: Review and future directions Pereira M; Chen X; Paltarzhytskaya A; Pache?o Y; Muller N; Bovy L; Lei X; Chen W; Ren H; Song C; Lewis LD; Dang-Vu TT; Czisch M; Picchioni D; Duyn J; Peigneux P; Tagliazucchi E; Dresler M; 39940102
HKAP
9 Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG Bedford O; Noly-Gandon A; Ara A; Wiesman AI; Albouy P; Baillet S; Penhune V; Zatorre RJ; 39757971
PSYCHOLOGY
10 Neural correlates of impulsivity in amphetamine use disorder Kaboodvand N; Shabanpour M; Guterstam J; 38991286
ENCS
11 Connectivity preservation control for multiple unmanned aerial vehicles in the presence of bounded actuation Xue X; Yuan B; Yi Y; Zhang Y; Yue X; Mu L; 38964998
ENCS
12 A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR; 37663773
ENCS
13 Mapping pontocerebellar connectivity with diffusion MRI Rousseau PN; Chakravarty MM; Steele CJ; 36252913
PERFORM
14 Empathy, Defending, and Functional Connectivity While Witnessing Social Exclusion McIver TA; Craig W; Bosma RL; Chiarella J; Klassen J; Sandra A; Goegan S; Booij L; 35659207
PSYCHOLOGY
15 Neurophysiological Changes Induced by Music-Supported Therapy for Recovering Upper Extremity Function after Stroke: A Case Series Ghai S; Maso FD; Ogourtsova T; Porxas AX; Villeneuve M; Penhune V; Boudrias MH; Baillet S; Lamontagne A; 34065395
PSYCHOLOGY
16 Potential Movement Corridors and High Road-Kill Likelihood do not Spatially Coincide for Felids in Brazil: Implications for Road Mitigation. Cerqueira RC, Leonard PB, da Silva LG, Bager A, Clevenger AP, Jaeger JAG, Grilo C 33469694
BIOLOGY
17 Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes Vaquero L; Ramos-Escobar N; Cucurell D; François C; Putkinen V; Segura E; Huotilainen M; Penhune V; Rodríguez-Fornells A; 33454403
MLNP
18 DNA methylation differences in stress-related genes, functional connectivity and gray matter volume in depressed and healthy adolescents. Chiarella J, Schumann L, Pomares FB, Frodl T, Tozzi L, Nemoda Z, Yu P, Szyf M, Khalid-Khan S, Booij L 32479312
PSYCHOLOGY
19 Neural network retuning and neural predictors of learning success associated with cello training Wollman I; Penhune V; Segado M; Carpentier T; Zatorre RJ; 29891670
PSYCHOLOGY
20 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
21 SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity. Lee K, Lina JM, Gotman J, Grova C 27046111
PERFORM
22 Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry. Khalili-Mahani N, Rombouts SA, van Osch MJ, Duff EP, Carbonell F, Nickerson LD, Becerra L, Dahan A, Evans AC, Soucy JP, Wise R, Zijdenbos AP, van Gerven JM 28145075
PERFORM

 

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
Publication:NeuroImage
Keywords:Arcuate fasciculusEEGError predictionMMNStructural connectivity
PMID:33454403 Category:Neuroimage Date Added:2021-01-20
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.





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