Distortion product otoacoustic emissions during the first year in term infants: A longitudinal study

Zang, Zheng; Jiang, Ze D.

doi:10.1016/j.braindev.2006.10.001

Cited by 105 publications

(30 citation statements)

References 21 publications

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“…Using fALFF, which may reflect the magnitude of neural activity 20, 21 , our findings suggested that increased strength of intrinsic brain activity occurs in extensive areas of the dorsal part of the prefrontal cortex. Furthermore, in our previous study 13 we showed that increases in resting state CBF occurred in the right lateral prefrontal cortex, potentially reflecting increasing numbers of neural components (and resulting metabolic demand), blood vessels, and increases in intrinsic neural activity.…”

Section: Discussionmentioning

confidence: 85%

“…With regard to fALFF, recent technical advances have enabled determinations of the ALFF and fALFF, which are suggested to indicate magnitudes of spontaneous neural activity during rest 20–22 . Consistent with this notion, repetition rates of visual stimuli induce changes in fALFF just like it does to BOLD signals to the visual cortex 23 .…”

Section: Introductionmentioning

confidence: 99%

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Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training

Takeuchi

Taki

Nouchi

et al. 2017

Sci Rep

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Working memory training (WMT) induces changes in cognitive function and various neurological systems. Here, we investigated changes in recently developed resting state functional magnetic resonance imaging measures of global information processing [degree of the cortical hub, which may have a central role in information integration in the brain, degree centrality (DC)], the magnitude of intrinsic brain activity [fractional amplitude of low frequency fluctuation (fALFF)], and local connectivity (regional homogeneity) in young adults, who either underwent WMT or received no intervention for 4 weeks. Compared with no intervention, WMT increased DC in the anatomical cluster, including anterior cingulate cortex (ACC), to the medial prefrontal cortex (mPFC). Furthermore, WMT increased fALFF in the anatomical cluster including the right dorsolateral prefrontal cortex (DLPFC), frontopolar area and mPFC. WMT increased regional homogeneity in the anatomical cluster that spread from the precuneus to posterior cingulate cortex and posterior parietal cortex. These results suggest WMT-induced plasticity in spontaneous brain activity and global and local information processing in areas of the major networks of the brain during rest.

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Section: Discussionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training

Takeuchi

Taki

Nouchi

et al. 2017

Sci Rep

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“…Here, we provide a brief description of these metrics and more details are presented in Supplementary Text 3. The alff metric indicates the power of low-frequency oscillations in the BOLD time series (Zang et al 2007). The normalized form, falff, further divides the alff value by the power of the entire frequency spectrum (Zou et al 2008).…”

Section: Methodsmentioning

confidence: 99%

Brain structure–function associations identified in large-scale neuroimaging data

et al. 2016

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The relationships between structural and functional measures of the human brain remain largely unknown. A majority of our limited knowledge regarding structure–function associations has been obtained through comparisons between specific groups of patients and healthy controls. Unfortunately, a direct and complete view of the associations across multiple structural and functional metrics in normal population is missing. We filled this gap by learning cross-individual co-variance among structural and functional measures using large-scale neuroimaging datasets. A discover-confirm scheme was applied to two independent samples (N = 184 and N = 340) of multi-modal neuroimaging datasets. A data mining tool, gRAICAR, was employed in the discover stage to generate quantitative and unbiased hypotheses of the co-variance among six functional and six structural imaging metrics. These hypotheses were validated using an independent dataset in the confirm stage. Fifteen multi-metric co-variance units, representing different co-variance relationships among the 12 metrics, were reliable across the two sets of neuroimaging datasets. The reliable co-variance units were summarized into a database, where users can select any location on the cortical map of any metric to examine the co-varying maps with the other 11 metrics. This database characterized the six functional metrics based on their co-variance with structural metrics, and provided a detailed reference to connect previous findings using different metrics and to predict maps of unexamined metrics. Gender, age, and handedness were associated to the co-variance units, and a sub-study of schizophrenia demonstrated the usefulness of the co-variance database.Electronic supplementary materialThe online version of this article (doi:10.1007/s00429-015-1177-6) contains supplementary material, which is available to authorized users.

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“…We used REST software to calculate ALFF (Zang et al 2007; Song et al 2011). The time series for each voxel was first band-pass filtered (0.01–0.027 Hz for slow-5 band, and 0.027–0.073 Hz for slow-4).…”

Section: Methodsmentioning

confidence: 99%

“…Amplitude of low-frequency fluctuations (ALFF), characterizing the local brain features of R-fMRI data, is one of the most frequently used approaches that quantify the regional neural synchronous activity by assessing the amplitude of power spectrum of LFO (Zang et al 2007). The ALFF analysis has been used to detect brain abnormalities in a spectrum of diseases, such as the attention-deficient hyperactivity disorder (Zang et al 2007), Alzheimer’s disease (He et al 2007), and posttraumatic stress disorder (Yin et al 2011). While resting-state PET/SPECT directly measures the metabolism of local brain areas, the ALFF measures the deviation of the BOLD signal and may provide extra information about how disease affects brain.…”

Section: Introductionmentioning

confidence: 99%

Frequency-dependent changes in the amplitude of low-frequency fluctuations in patients with Wilson’s disease: a resting-state fMRI study

Chen

Huang

et al. 2017

Metab Brain Dis

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To investigate the frequency-dependent changes in the amplitude of low-frequency fluctuations (ALFF) in patients with Wilson’s disease (WD). Resting-state function magnetic resonance imaging (R-fMRI) were employed to measure the amplitude of ALFF in 28 patients with WD and 27 matched normal controls. Slow-5 (0.01–0.027 Hz) and slow-4 (0.027–0.073 Hz) frequency bands were analyzed. Apart from the observation of atrophy in the cerebellum, basal ganglia, occipital gyrus, frontal gyrus, precentral gyrus, and paracentral lobule, we also found widespread differences in ALFF of the two bands in the medial frontal gyrus, inferior temporal gyrus, insula, basal ganglia, hippocampus/parahippocampal gyrus, and thalamus bilaterally. Compared to normal controls, WD patients had increased ALFF in the posterior lobe of the cerebellum, inferior temporal gyrus, brain stem, basal ganglia, and decreased ALFF in the anterior lobe of the cerebellum and medial frontal gyrus. Specifically, we observed that the ALFF abnormalities in the cerebellum and middle frontal gyrus were greater in the slow-5 than in the slow-4 band. Correlation analysis showed consistently positive correlations between urinary copper excretion (Cu), serum ceruloplasmin (CP) and ALFFs in the cerebellum. Our study suggests the accumulation of copper profoundly impaired intrinsic brain activity and the impairments seem to be frequency-dependent. These results provide further insights into the understanding of the pathophysiology of WD.

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Distortion product otoacoustic emissions during the first year in term infants: A longitudinal study

Cited by 105 publications

References 21 publications

Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training

Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training

Brain structure–function associations identified in large-scale neuroimaging data

Frequency-dependent changes in the amplitude of low-frequency fluctuations in patients with Wilson’s disease: a resting-state fMRI study

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