Keyword search (4,163 papers available)

"Prediction" Keyword-tagged Publications:

Title Authors PubMed ID
1 Imagining the beat: causal evidence for dorsal premotor cortex (dPMC) role in beat imagery via transcranial magnetic stimulation (TMS) Lazzari G; Ferreri L; Cattaneo L; Penhune V; Lega C; 41248776
PSYCHOLOGY
2 Assessing in silico tools for accurate pathogenicity prediction in CHD nucleosome remodelers Rabouhi N; Guindon S; Coleman EA; van Heesbeen HJ; Greenwood CMT; Lu T; Campeau PM; 40907936
ENCS
3 Application of machine learning for predicting the incubation period of water droplet erosion in metals AlHammad K; Medraj M; Tembely M; 40612685
ENCS
4 Rubber Fatigue Revisited: A State-of-the-Art Review Expanding on Prior Works by Tee, Mars and Fatemi Wang X; Sedaghati R; Rakheja S; Shangguan W; 40219307
ENCS
5 Perceptions of carbon dioxide emission reductions and future warming among climate experts Wynes S; Davis SJ; Dickau M; Ly S; Maibach E; Rogelj J; Zickfeld K; Matthews HD; 39280638
CONCORDIA
6 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
7 Development and validation of risk of CPS decline (RCD): a new prediction tool for worsening cognitive performance among home care clients in Canada Guthrie DM; Williams N; O' Rourke HM; Orange JB; Phillips N; Pichora-Fuller MK; Savundranayagam MY; Sutradhar R; 38041046
CRDH
8 Context changes judgments of liking and predictability for melodies Albury AW; Bianco R; Gold BP; Penhune VB; 38034280
PSYCHOLOGY
9 NMDA Receptors in the Basolateral Amygdala Complex Are Engaged for Pavlovian Fear Conditioning When an Animal's Predictions about Danger Are in Error Tuval Keidar 37607821
CSBN
10 Deep learning approach to security enforcement in cloud workflow orchestration El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K; 36691661
ENCS
11 Calcium activity is a degraded estimate of spikes Hart EE; Gardner MPH; Panayi MC; Kahnt T; Schoenbaum G; 36368324
PSYCHOLOGY
12 Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning Bouhamed O; Amayri M; Bouguila N; 35590880
ENCS
13 Prediction error determines whether NMDA receptors in the basolateral amygdala complex are involved in Pavlovian fear conditioning Williams-Spooner MJ; Delaney AJ; Westbrook RF; Holmes NM; 35410880
PSYCHOLOGY
14 Towards a better understanding of deep convolutional neural network processes for recognizing organic chemicals of environmental concern Sun X; Zhang X; Wang L; Li Y; Muir DCG; Zeng EY; 34388923
CHEMBIOCHEM
15 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
16 Integrative approach for detecting membrane proteins. Alballa M, Butler G 33349234
CSFG
17 Inter-protein residue covariation information unravels physically interacting protein dimers Salmanian S; Pezeshk H; Sadeghi M; 33334319
ENCS
18 CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus Montero-Odasso M; Pieruccini-Faria F; Ismail Z; Li K; Lim A; Phillips N; Kamkar N; Sarquis-Adamson Y; Speechley M; Theou O; Verghese J; Wallace L; Camicioli R; 33094146
CRDH
19 Prediction Errors in Depression: A Quasi-Experimental Analysis. Radomsky AS, Wong SF, Dussault D, Gilchrist PT, Tesolin SB 32746394
PSYCHOLOGY
20 TooT-T: discrimination of transport proteins from non-transport proteins. Alballa M, Butler G 32321420
CSFG
21 Water Droplet Erosion of Wind Turbine Blades: Mechanics, Testing, Modeling and Future Perspectives. Elhadi Ibrahim M, Medraj M 31906204
ENCS
22 Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value. Mendoza JA, Lafferty CK, Yang AK, Britt JP 31693885
CSBN
23 Genotype scores predict drug efficacy in subtypes of female sexual interest/arousal disorder: A double-blind, randomized, placebo-controlled cross-over trial. Tuiten A, Michiels F, Böcker KB, Höhle D, van Honk J, de Lange RP, van Rooij K, Kessels R, Bloemers J, Gerritsen J, Janssen P, de Leede L, Meyer JJ, Everaerd W, Frijlink HW, Koppeschaar HP, Olivier B, Pfaus JG 30016917
CSBN
24 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes. Reid I 29876820
CSFG

 

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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