PERFORM Publications

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Title		Authors	PubMed ID
1	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
2	Cortical gradients of functional connectivity are robust to state-dependent changes following sleep deprivation.	Cross N; Paquola C; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Bernhardt BC; Grova C; Dang-Vu TT;	33186718 PERFORM
3	The sensation of groove engages motor and reward networks.	Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB	32217163 PSYCHOLOGY
4	What you learn & when you learn it: Impact of early bilingual & music experience on the structural characteristics of auditory-motor pathways	Vaquero L; Rousseau PN; Vozian D; Klein D; Penhune V;	32119984 PSYCHOLOGY
5	Investigating microstructural variation in the human hippocampus using non-negative matrix factorization.	Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM	31715254 PSYCHOLOGY
6	BOLD signal physiology: Models and applications.	Gauthier CJ, Fan AP	29544818 IMAGING
7	ERP evidence of adaptive changes in error processing and attentional control during rhythm synchronization learning	Padrão G; Penhune V; de Diego-Balaguer R; Marco-Pallares J; Rodriguez-Fornells A;	24956067 PSYCHOLOGY
8	White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians	Vaquero L; Ramos-Escobar N; François C; Penhune V; Rodríguez-Fornells A;	29929006 MLNP
9	Regional cerebellar volumes are related to early musical training and finger tapping performance.	Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB	25583606 PSYCHOLOGY
10	Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity.	Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A	26318050 PERFORM
11	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
12	L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action.	Kroemer NB, Lee Y, Pooseh S, Eppinger B, Goschke T, Smolka MN	30381245 PSYCHOLOGY
13	Tracking the microstructural properties of the main white matter pathways underlying speech processing in simultaneous interpreters	Elmer S; Hänggi J; Vaquero L; Cadena GO; François C; Rodríguez-Fornells A;	30831314 PSYCHOLOGY
14	Cortical reactivations during sleep spindles following declarative learning.	Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT	30928690 PERFORM
15	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.	Chowdhury RA, Merlet I, Birot G, Kobayashi E, Nica A, Biraben A, Wendling F, Lina JM, Albera L, Grova C	27561712 PERFORM
16	Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.	Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ	28159689 PERFORM
17	Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.	Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C	28619655 PERFORM

Title:	BOLD signal physiology: Models and applications.
Authors:	Gauthier CJ, Fan AP
Link:	https://www.ncbi.nlm.nih.gov/pubmed/29544818?dopt=Abstract
DOI:	10.1016/j.neuroimage.2018.03.018
Publication:	NeuroImage
Keywords:
PMID:	29544818	Category:	Neuroimage	Date Added:	2019-08-07
Dept Affiliation:	IMAGING 1 Concordia University, Montreal, Canada. Electronic address: claudine.gauthier@concordia.ca. 2 Stanford University, California, USA.

Description:

BOLD signal physiology: Models and applications.

Neuroimage. 2019 02 15;187:116-127

Authors: Gauthier CJ, Fan AP

Abstract

The BOLD contrast mechanism has a complex relationship with functional brain activity, oxygen metabolism, and neurovascular factors. Accurate interpretation of the BOLD signal for neuroscience and clinical applications necessitates a clear understanding of the sources of BOLD contrast and its relationship to underlying physiology. This review describes the physiological components that contribute to the BOLD signal and the steady-state calibrated BOLD models that enable quantification of functional changes with a separate challenge paradigm. The principles derived from these biophysical models are then used to interpret BOLD measurements in different neurological disorders in the presence of confounding vascular factors related to disease.

PMID: 29544818 [PubMed - indexed for MEDLINE]

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