Name
Title | ||
|---|---|---|
Relative latency and temporal variability of hemodynamic responses at the human primary visual cortex. |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.neuroimage.2017.01.041 | NeuroImage |
Keywords | Field | DocType |
fMRI,V1,Stability,Retinotopy,Precision,Hemodynamics | Brain mapping,Neuroscience,Premovement neuronal activity,Latency (engineering),Computer science,Sampling (signal processing),Cognitive psychology,Artificial intelligence,Stimulus (physiology),Computer vision,Visual cortex,Retinotopy,Standard deviation | Journal |
Volume | ISSN | Citations |
164 | 1053-8119 | 4 |
PageRank | References | Authors |
0.38 | 17 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fa-Hsuan Lin | 1 | 246 | 24.33 |
| Jonathan R. Polimeni | 2 | 972 | 50.64 |
| Jo-Fu Lotus Lin | 3 | 9 | 1.13 |
| Kevin Wen-Kai Tsai | 4 | 49 | 4.60 |
| Ying-Hua Chu | 5 | 33 | 2.99 |
| Pu-Yeh Wu | 6 | 4 | 0.38 |
| Yi-Tien Li | 7 | 4 | 0.72 |
| Yi-Cheng Hsu | 8 | 9 | 0.79 |
| Shang-Yueh Tsai | 9 | 9 | 1.13 |
| Wen-Jui Kuo | 10 | 163 | 20.42 |