Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI

Yang, Hong; Long, Xiangyu; Yang, Yihong; Yan, Hao; Zhu, Chaozhe; Zhou, Xin; Zang, Yu‐Feng; Gong, Qiyong

doi:10.1016/j.neuroimage.2007.01.054

Cited by 483 publications

(419 citation statements)

References 33 publications

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“…Taglizucchi and colleagues showed that instructing subjects to keep their eyes open with/without fixation during the experiment resulted in a decreased amount of sleep than eyes closed (Tagliazucchi and Laufs, 2014 It would be relatively difficult to ask patients to maintain their gaze on a fixation for quite a few minutes. As did in some previous studies (Liu et al, 2013;Yang et al, 2007;Yuan et al, 2014;Zou et al, 2009;Zou et al, 2015), the current study also only focused on the comparisons of the eyes closed state and eyes open without fixation state and hopefully this study would be more helpful to clinical studies. Future comprehensive test-retest reliability studies including EC and EO with/without fixation are warranted.…”

Section: Test-retest Reliability Of Eyes-open and Eyes-closed Statesmentioning

confidence: 99%

“…It was observed almost one century ago by Berger (Berger, 1929(Berger, , 1930) that the EEG alpha rhythm disappeared when the eyes were open, as compared to the case when the eyes were closed. BOLD fMRI studies have shown brain activity differences between the EO and EC states in the visual cortex (Jao et al, 2013;Liu et al, 2013;Yang et al, 2007;Zou et al, 2009;Zou et al, 2015), motor and auditory cortices (Jao et al, 2013;Liu et al, 2013;Yuan et al, 2014;Zou et al, 2015), and the default mode network (Jao et al, 2013;Liu et al, 2013;Yan et al, 2009). Using the ASL technique, significant CBF increases in the primary and secondary visual areas (Brodmann area (BA) 17, 18) for EO compared with EC state (Hermes et al, 2007;Zou et al, 2015) have been reported.…”

Section: Introductionmentioning

confidence: 99%

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Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states

et al. 2015

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Blood oxygenation level dependent (BOLD) and arterial spin labeling (ASL) are two predominant resting-state fMRI techniques in mapping spontaneous brain activities. At single voxel level, cerebral blood flow (CBF) measured by ASL and amplitude of low frequency fluctuations (ALFF) of BOLD have been recognized as useful indices to characterize brain function in health and disease. However, no study has directly compared the test-retest reliability between BOLD and CBF contrasts on the same group of subjects at single voxel level. Moreover, both eyes-open and eyes-closed conditions have been employed as resting states, but it is still not clear which state is more reliable. Here we collected BOLD and ASL data during eyes-open and eyes-closed states across three scanning visits on twenty-two healthy young subjects. CBF-mean, BOLD-and CBF-ALFF were computed to characterize corresponding brain activities at single voxel level. Seed-based functional connectivity (FC) with the posterior cingulate cortex (PCC) was further calculated for both BOLD and CBF data. Intra-class correlation was used as the index of long-term reliability between visits 1 and 2 (two months apart) and short-term reliability between visits 2 and 3 (on the same day). Both short-and long-term reliabilities for CBF-mean and BOLD-ALFF were high, but were lower for CBF-ALFF, BOLD-and CBF-FC in both eyes-open and eyes-closed states. Direct comparisons showed that brain regions with the highest reliability of CBF-mean were mainly in the gray matter. The reliability of CBF-ALFF and BOLD-FC was lower than that of BOLD-ALFF, and the reliability of CBF-FC was lower than those of both CBF-ALFF and BOLD-FC. Furthermore, we observed that reliabilities of the eyes-open state were higher than those of the eyes-closed state for both imaging contrasts, though the effect size was small. Voxel-wise comparisons demonstrated that the long-term reliability of BOLD-ALFF was significantly higher with eyes open in the visual system, and both the short-and long-term reliability of BOLD-FC was slightly higher with eyes open in the default mode network. Moreover, we showed that denoising decreased the reliability of both ALFF and FC of both BOLD and ASL contrasts. In conclusion, our results indicated that CBF-mean and BOLD-ALFF could both be used as reliable indices for characterizing resting-state brain activities at single voxel level and recommended the eyesopen state for resting-state studies, especially for those targeting the visual system and default mode network.

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Section: Test-retest Reliability Of Eyes-open and Eyes-closed Statesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states

et al. 2015

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“…ALFF measures the amplitude of fl uctuation of individual voxels [6] . It has been used to differentiate two resting conditions [7] and differentiate patients with epilepsy from normal controls [8] . During the resting state, regions exhibiting higher ReHo [3] and ALFF [6,7] than other regions are in line with the location of the default mode network and have the highest metabolic rate as measured by positron emission tomography.…”

Section: Introductionmentioning

confidence: 99%

“…It has been used to differentiate two resting conditions [7] and differentiate patients with epilepsy from normal controls [8] . During the resting state, regions exhibiting higher ReHo [3] and ALFF [6,7] than other regions are in line with the location of the default mode network and have the highest metabolic rate as measured by positron emission tomography. These two methods have already been used to explore the functional abnormalities in many brain disorders such as Alzheimer's disease [9,10] and schizophrenia [11,12] .…”

Section: Introductionmentioning

confidence: 99%

Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study

Cao

Sui

et al. 2013

Neurosci. Bull.

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Regional homogeneity (ReHo) and the amplitude of low-frequency fl uctuation (ALFF) are two approaches to depicting different regional characteristics of resting-state functional magnetic resonance imaging (RS-fMRI) data. Whether they can complementarily reveal brain regional functional abnormalities in attention-defi cit/hyperactivity disorder (ADHD) remains unknown. In this study, we applied ReHo and ALFF to 23 medication-naïve boys diagnosed with ADHD and 25 age-matched healthy male controls using whole-brain voxel-wise analysis. Correlation analyses were conducted in the ADHD group to investigate the relationship between the regional spontaneous brain activity measured by the two approaches and the clinical symptoms of ADHD. We found that the ReHo method showed widely-distributed differences between the two groups in the fronto-cingulo-occipitocerebellar circuitry, while the ALFF method showed a difference only in the right occipital area. When a larger smoothing kernel and a more lenient threshold were used for ALFF, more overlapped regions were found between ALFF and ReHo, and ALFF even found some new regions with group differences. The ADHD symptom scores were correlated with the ReHo values in the right cerebellum, dorsal anterior cingulate cortex and left lingual gyrus in the ADHD group, while no correlation was detected between ALFF and ADHD symptoms. In conclusion, ReHo may be more sensitive to regional abnormalities, at least in boys with ADHD, than ALFF. And ALFF may be complementary to ReHo in measuring local spontaneous activity. Combination of the two may yield a more comprehensive pathophy-siological framework for ADHD.

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“…• The amplitude of low-frequency fluctuations (ALFF), computed as the root mean square of the frequency spectrum of the preprocessed and band-pass filtered BOLD time course within the 0.01-0.08 Hz frequency band (Yang et al, 2007). This is similar in nature to the RSFA, except for the fact that there is no voxelwise normalization by the BOLD signal mean, thus allowing the ALFF to take into account regional differences in quantitative BOLD amplitude.…”

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confidence: 99%

Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults

2016

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In conventional neuroimaging, cerebrovascular reactivity (CVR) is quantified primarily using the blood-oxygenation level-dependent (BOLD) functional MRI (fMRI) signal, specifically, as the BOLD response to intravascular carbon dioxide (CO 2 ) modulations, in units of [%ΔBOLD/ mmHg]. While this method has achieved wide appeal and clinical translation, the tolerability of CO 2 -related tasks amongst patients and the elderly remains a challenge in more routine and largescale applications. In this work, we propose an improved method to quantify CVR by exploiting intrinsic fluctuations in CO 2 and corresponding changes in the resting-state BOLD signal (rsqCVR). Our rs-qCVR approach requires simultaneous monitoring of PETCO 2 , cardiac pulsation and respiratory volume. In 16 healthy adults, we compare our quantitative CVR estimation technique to the prospective CO 2 -targeting based CVR quantification approach (qCVR, the "standard"). We also compare our rs-CVR to non-quantitative alternatives including the restingstate fluctuation amplitude (RSFA), amplitude of low-frequency fluctuation (ALFF) and globalsignal regression. When all subjects were pooled, only RSFA and ALFF were significantly associated with qCVR. However, for characterizing regional CVR variations within each subject, only the PETCO 2 -based rs-qCVR measure is strongly associated with standard qCVR in 100% of the subjects (p<=0.1). In contrast, for the more qualitative CVR measures, significant withinsubject association with qCVR was only achieved in 50-70% of the subjects. Our work establishes the feasibility of extracting quantitative CVR maps using rs-fMRI, opening the possibility of mapping functional connectivity and qCVR simultaneously.

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Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI

Cited by 483 publications

References 33 publications

Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states

Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states

Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study

Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults

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