OBJECTIVE: Behavioral studies have suggested a low-frequency (0.05 Hz) fluctuation of sustained attention on the basis of the intra-individual variability of reaction-time. Conventional task designs for functional magnetic resonance imaging (fMRI) studies are not appropriate for frequency analysis. The present study aimed to propose a new paradigm, real-time finger force feedback (RT-FFF), to study the brain mechanisms of sustained attention and neurofeedback. METHODS: We compared the low-frequency fluctuations in both behavioral and fMRI data from 38 healthy adults (19 males; mean age, 22.3 years). Two fMRI sessions, in RT-FFF and sham finger force feedback (S-FFF) states, were acquired (TR 2 s, Siemens Trio 3-Tesla scanner, 8 min each, counter-balanced). Behavioral data of finger force were obtained simultaneously at a sampling rate of 250 Hz. RESULTS: Frequency analysis of the behavioral data showed lower amplitude in the low-frequency band (0.004-0.104 Hz) but higher amplitude in the high-frequency band (27.02-125 Hz) in the RT-FFF than the S-FFF states. The mean finger force was not significantly different between the two states. fMRI data analysis showed higher fractional amplitude of low-frequency fluctuation (fALFF) in the S-FFF than in the RT-FFF state in the visual cortex, but higher fALFF in RT-FFF than S-FFF in the middle frontal gyrus, the superior frontal gyrus, and the default mode network. CONCLUSION: The behavioral results suggest that the proposed paradigm may provide a new approach to studies of sustained attention. The fMRI results suggest that a distributed network including visual, motor, attentional, and default mode networks may be involved in sustained attention and/or real-time feedback. This paradigm may be helpful for future studies on deficits of attention, such as attention deficit hyperactivity disorder and mild traumatic brain injury.
OBJECTIVE: Behavioral studies have suggested a low-frequency (0.05 Hz) fluctuation of sustained attention on the basis of the intra-individual variability of reaction-time. Conventional task designs for functional magnetic resonance imaging (fMRI) studies are not appropriate for frequency analysis. The present study aimed to propose a new paradigm, real-time finger force feedback (RT-FFF), to study the brain mechanisms of sustained attention and neurofeedback. METHODS: We compared the low-frequency fluctuations in both behavioral and fMRI data from 38 healthy adults (19 males; mean age, 22.3 years). Two fMRI sessions, in RT-FFF and sham finger force feedback (S-FFF) states, were acquired (TR 2 s, Siemens Trio 3-Tesla scanner, 8 min each, counter-balanced). Behavioral data of finger force were obtained simultaneously at a sampling rate of 250 Hz. RESULTS: Frequency analysis of the behavioral data showed lower amplitude in the low-frequency band (0.004-0.104 Hz) but higher amplitude in the high-frequency band (27.02-125 Hz) in the RT-FFF than the S-FFF states. The mean finger force was not significantly different between the two states. fMRI data analysis showed higher fractional amplitude of low-frequency fluctuation (fALFF) in the S-FFF than in the RT-FFF state in the visual cortex, but higher fALFF in RT-FFF than S-FFF in the middle frontal gyrus, the superior frontal gyrus, and the default mode network. CONCLUSION: The behavioral results suggest that the proposed paradigm may provide a new approach to studies of sustained attention. The fMRI results suggest that a distributed network including visual, motor, attentional, and default mode networks may be involved in sustained attention and/or real-time feedback. This paradigm may be helpful for future studies on deficits of attention, such as attention deficit hyperactivity disorder and mild traumatic brain injury.
Authors: D Cordes; V M Haughton; K Arfanakis; J D Carew; P A Turski; C H Moritz; M A Quigley; M E Meyerand Journal: AJNR Am J Neuroradiol Date: 2001-08 Impact factor: 3.825
Authors: Bharat B Biswal; Maarten Mennes; Xi-Nian Zuo; Suril Gohel; Clare Kelly; Steve M Smith; Christian F Beckmann; Jonathan S Adelstein; Randy L Buckner; Stan Colcombe; Anne-Marie Dogonowski; Monique Ernst; Damien Fair; Michelle Hampson; Matthew J Hoptman; James S Hyde; Vesa J Kiviniemi; Rolf Kötter; Shi-Jiang Li; Ching-Po Lin; Mark J Lowe; Clare Mackay; David J Madden; Kristoffer H Madsen; Daniel S Margulies; Helen S Mayberg; Katie McMahon; Christopher S Monk; Stewart H Mostofsky; Bonnie J Nagel; James J Pekar; Scott J Peltier; Steven E Petersen; Valentin Riedl; Serge A R B Rombouts; Bart Rypma; Bradley L Schlaggar; Sein Schmidt; Rachael D Seidler; Greg J Siegle; Christian Sorg; Gao-Jun Teng; Juha Veijola; Arno Villringer; Martin Walter; Lihong Wang; Xu-Chu Weng; Susan Whitfield-Gabrieli; Peter Williamson; Christian Windischberger; Yu-Feng Zang; Hong-Ying Zhang; F Xavier Castellanos; Michael P Milham Journal: Proc Natl Acad Sci U S A Date: 2010-02-22 Impact factor: 11.205
Authors: Adriana Di Martino; Manely Ghaffari; Jocelyn Curchack; Philip Reiss; Christopher Hyde; Marina Vannucci; Eva Petkova; Donald F Klein; F Xavier Castellanos Journal: Biol Psychiatry Date: 2008-04-18 Impact factor: 13.382