Literature DB >> 17297549

fMRI responses in medial frontal cortex that depend on the temporal frequency of visual input.

Ramesh Srinivasan1, Eleonora Fornari, Maria G Knyazeva, Reto Meuli, Philippe Maeder.   

Abstract

Functional networks in the human brain have been investigated using electrophysiological methods (EEG/MEG, LFP, and MUA) and steady-state paradigms that apply periodic luminance or contrast modulation to drive cortical networks. We have used this approach with fMRI to characterize a cortical network driven by a checkerboard reversing at a fixed frequency. We found that the fMRI signals in voxels located in occipital cortex were increased by checkerboard reversal at frequencies ranging from 3 to 14 Hz. In contrast, the response of a cluster of voxels centered on basal medial frontal cortex depended strongly on the reversal frequency, consistently exhibiting a peak in the response for specific reversal frequencies between 3 and 5 Hz in each subject. The fMRI signals at the frontal voxels were positively correlated indicating a homogeneous cluster. Some of the occipital voxels were positively correlated to the frontal voxels apparently forming a large-scale functional network. Other occipital voxels were negatively correlated to the frontal voxels, suggesting a functionally distinct network. The results provide preliminary fMRI evidence that during visual stimulation, input frequency can be varied to engage different functional networks.

Entities:  

Mesh:

Year:  2007        PMID: 17297549      PMCID: PMC2084393          DOI: 10.1007/s00221-007-0886-3

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  39 in total

1.  Steady state visually evoked potential (SSVEP) topography in a graded working memory task.

Authors:  R B Silberstein; P L Nunez; A Pipingas; P Harris; F Danieli
Journal:  Int J Psychophysiol       Date:  2001-10       Impact factor: 2.997

2.  Analysis and use of FMRI response delays.

Authors:  Z S Saad; K M Ropella; R W Cox; E A DeYoe
Journal:  Hum Brain Mapp       Date:  2001-06       Impact factor: 5.038

3.  Fronto-parietal evoked potential synchronization is increased during mental rotation.

Authors:  Richard B Silberstein; Frank Danieli; Paul L Nunez
Journal:  Neuroreport       Date:  2003-01-20       Impact factor: 1.837

4.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

Authors:  K K Kwong; J W Belliveau; D A Chesler; I E Goldberg; R M Weisskoff; B P Poncelet; D N Kennedy; B E Hoppel; M S Cohen; R Turner
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

5.  Signal timing across the macaque visual system.

Authors:  M T Schmolesky; Y Wang; D P Hanes; K G Thompson; S Leutgeb; J D Schall; A G Leventhal
Journal:  J Neurophysiol       Date:  1998-06       Impact factor: 2.714

6.  Responsiveness of human cortical activity to rhythmical stimulation: a three-modality, whole-cortex neuromagnetic investigation.

Authors:  L Narici; K Portin; R Salmelin; R Hari
Journal:  Neuroimage       Date:  1998-04       Impact factor: 6.556

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

8.  Steady state visual evoked potentials in the alert primate.

Authors:  K Nakayama; M Mackeben
Journal:  Vision Res       Date:  1982       Impact factor: 1.886

9.  Dynamic sculpting of brain functional connectivity is correlated with performance.

Authors:  Richard B Silberstein; John Song; Paul L Nunez; Warwick Park
Journal:  Brain Topogr       Date:  2004       Impact factor: 3.020

10.  Spatial filtering and neocortical dynamics: estimates of EEG coherence.

Authors:  R Srinivasan; P L Nunez; R B Silberstein
Journal:  IEEE Trans Biomed Eng       Date:  1998-07       Impact factor: 4.538

View more
  17 in total

1.  The graph theoretical analysis of the SSVEP harmonic response networks.

Authors:  Yangsong Zhang; Daqing Guo; Kaiwen Cheng; Dezhong Yao; Peng Xu
Journal:  Cogn Neurodyn       Date:  2015-01-11       Impact factor: 5.082

2.  Influence of contrast-reversing frequency on the amplitude and spatial distribution of visual cortex hemodynamic responses.

Authors:  Karolina Bejm; Stanisław Wojtkiewicz; Piotr Sawosz; Maciej Perdziak; Zanna Pastuszak; Aleh Sudakou; Petro Guchek; Adam Liebert
Journal:  Biomed Opt Express       Date:  2019-11-15       Impact factor: 3.732

3.  Visual temporal frequency preference shows a distinct cortical architecture using fMRI.

Authors:  Yuhui Chai; Daniel A Handwerker; Sean Marrett; Javier Gonzalez-Castillo; Elisha P Merriam; Andrew Hall; Peter J Molfese; Peter A Bandettini
Journal:  Neuroimage       Date:  2019-04-20       Impact factor: 6.556

4.  Channel selection from source localization: A review of four EEG-based brain-computer interfaces paradigms.

Authors:  E Guttmann-Flury; X Sheng; X Zhu
Journal:  Behav Res Methods       Date:  2022-07-06

Review 5.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

6.  Concomitant modulation of BOLD responses in white matter pathways and cortex.

Authors:  Arabinda Mishra; Muwei Li; Adam W Anderson; Allen T Newton; Zhaohua Ding; John C Gore
Journal:  Neuroimage       Date:  2020-04-21       Impact factor: 6.556

Review 7.  Steady state responses: electrophysiological assessment of sensory function in schizophrenia.

Authors:  Colleen A Brenner; Giri P Krishnan; Jenifer L Vohs; Woo-Young Ahn; William P Hetrick; Sandra L Morzorati; Brian F O'Donnell
Journal:  Schizophr Bull       Date:  2009-09-02       Impact factor: 9.306

8.  The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis.

Authors:  Fali Li; Yin Tian; Yangsong Zhang; Kan Qiu; Chunyang Tian; Wei Jing; Tiejun Liu; Yang Xia; Daqing Guo; Dezhong Yao; Peng Xu
Journal:  Sci Rep       Date:  2015-10-05       Impact factor: 4.379

9.  Lithium modulates striatal reward anticipation and prediction error coding in healthy volunteers.

Authors:  Inge Volman; Abbie Pringle; Lennart Verhagen; Michael Browning; Phil J Cowen; Catherine J Harmer
Journal:  Neuropsychopharmacology       Date:  2020-10-30       Impact factor: 7.853

10.  Cortical network properties revealed by SSVEP in anesthetized rats.

Authors:  Peng Xu; Chunyang Tian; Yangsong Zhang; Wei Jing; Zhenyu Wang; Tiejun Liu; Jun Hu; Yin Tian; Yang Xia; Dezhong Yao
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.