Literature DB >> 28119135

Relative latency and temporal variability of hemodynamic responses at the human primary visual cortex.

Fa-Hsuan Lin1, Jonathan R Polimeni2, Jo-Fu Lotus Lin3, Kevin W-K Tsai4, Ying-Hua Chu3, Pu-Yeh Wu3, Yi-Tien Li3, Yi-Cheng Hsu3, Shang-Yueh Tsai5, Wen-Jui Kuo6.   

Abstract

The blood-oxygen-level-dependent (BOLD) functional MRI (fMRI) signal is a robust surrogate for local neuronal activity. However, it has been shown to vary substantially across subjects, brain regions, and repetitive measurements. This variability represents a limit to the precision of the BOLD response and the ability to reliably discriminate brain hemodynamic responses elicited by external stimuli or behavior that are nearby in time. While the temporal variability of the BOLD signal at human visual cortex has been found in the range of a few hundreds of milliseconds, the spatial distributions of the average and standard deviation of this temporal variability have not been quantitatively characterized. Here we use fMRI measurements with a high sampling rate (10Hz) to map the latency, intra- and inter-subject variability of the evoked BOLD signal in human primary (V1) visual cortices using an event-related fMRI paradigm. The latency relative to the average BOLD signal evoked by 30 stimuli was estimated to be 0.03±0.20s. Within V1, the absolute value of the relative BOLD latency was found correlated to intra- and inter-subject temporal variability. After comparing these measures to retinotopic maps, we found that locations with V1 areas sensitive to smaller eccentricity have later responses and smaller inter-subject variabilities. These correlations were found from data with either short inter-stimulus interval (ISI; average 4s) or long ISI (average 30s). Maps of the relative latency as well as inter-/intra-subject variability were found visually asymmetric between hemispheres. Our results suggest that the latency and variability of regional BOLD signal measured with high spatiotemporal resolution may be used to detect regional differences in hemodynamics to inform fMRI studies. However, the physiological origins of timing index distributions and their hemispheric asymmetry remain to be investigated.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Hemodynamics; Precision; Retinotopy; Stability; V1; fMRI

Mesh:

Year:  2017        PMID: 28119135     DOI: 10.1016/j.neuroimage.2017.01.041

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  On the analysis of rapidly sampled fMRI data.

Authors:  Jingyuan E Chen; Jonathan R Polimeni; Saskia Bollmann; Gary H Glover
Journal:  Neuroimage       Date:  2019-02-05       Impact factor: 6.556

Review 2.  Dynamic Neural Representations: An Inferential Challenge for fMRI.

Authors:  Avniel Singh Ghuman; Alex Martin
Journal:  Trends Cogn Sci       Date:  2019-05-15       Impact factor: 20.229

3.  Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex.

Authors:  Lennart Wittkuhn; Nicolas W Schuck
Journal:  Nat Commun       Date:  2021-03-19       Impact factor: 14.919

Review 4.  Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI.

Authors:  Logan T Dowdle; Geoffrey Ghose; Clark C C Chen; Kamil Ugurbil; Essa Yacoub; Luca Vizioli
Journal:  Prog Neurobiol       Date:  2021-09-04       Impact factor: 11.685

5.  Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics.

Authors:  Jingyuan E Chen; Gary H Glover; Nina E Fultz; Bruce R Rosen; Jonathan R Polimeni; Laura D Lewis
Journal:  Neuroimage       Date:  2021-10-14       Impact factor: 7.400

Review 6.  Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response.

Authors:  Jonathan R Polimeni; Laura D Lewis
Journal:  Prog Neurobiol       Date:  2021-09-12       Impact factor: 11.685

7.  Pushing functional MRI spatial and temporal resolution further: High-density receive arrays combined with shot-selective 2D CAIPIRINHA for 3D echo-planar imaging at 7 T.

Authors:  Arjan D Hendriks; Federico D'Agata; Luisa Raimondo; Tim Schakel; Liesbeth Geerts; Peter R Luijten; Dennis W J Klomp; Natalia Petridou
Journal:  NMR Biomed       Date:  2020-03-03       Impact factor: 4.044

8.  Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder.

Authors:  Ville Raatikainen; Vesa Korhonen; Viola Borchardt; Niko Huotari; Heta Helakari; Janne Kananen; Lauri Raitamaa; Leena Joskitt; Soile Loukusa; Tuula Hurtig; Hanna Ebeling; Lucina Q Uddin; Vesa Kiviniemi
Journal:  Autism Res       Date:  2019-10-22       Impact factor: 5.216

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.