Functional Integration Between Brain Regions at Rest Occurs in Multiple-Frequency Bands

Gohel, Suril; Biswal, Bharat B.

doi:10.1089/brain.2013.0210

Cited by 182 publications

(180 citation statements)

References 47 publications

(77 reference statements)

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“…The ALFF in the slow-5 band involving larger brain regions provides evidence for the above statement. The current result showed that greater ALFF values for the slow-5 band in infants localized more within primary sensory and motor cortices and to a lesser extent within default-mode regions, which was inconsistent with findings that greater ALFF values in the slow-5 band were mainly located in the default-mode network in adults (Gohel and Biswal 2015;Han et al 2011;Zuo et al 2010). The power distribution in the slow-5 band in infants, therefore, is distinct from adults.…”

Section: Differences In Alff Between Frequency Bandscontrasting

confidence: 99%

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Wei

Wang

et al. 2016

Neurotox Res

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Little is known about the frequency features of spontaneous neural activity in the brains of moderate and late preterm (MLPT) newborns. We used resting-state functional magnetic resonance imaging (rs-fMRI) and the amplitude of low-frequency fluctuation (ALFF) method to investigate the frequency properties of spontaneous blood oxygen level-dependent (BOLD) signals in 26 MLPT and 35 term newborns. Two frequency bands, slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz), were analyzed. Our results showed widespread differences in ALFF between the two bands; differences occurred mainly in the primary sensory and motor cortices and to a lesser extent in association cortices and subcortical areas. Compared with term newborns, MLPT newborns showed significantly altered neural activity predominantly in the primary sensory and motor cortices and in the posterior cingulate gyrus/precuneus. In addition, a significant interaction between frequency bands and groups was observed in the primary somatosensory cortex. Intriguingly, these primary sensory and motor regions have been proven to be the major cortical hubs during the neonatal period. Our results revealed the frequency of spontaneous BOLD signal differences between MLPT and term newborns, which contribute to the understanding of regional development of spontaneous brain rhythms of MLPT newborns.

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Section: Differences In Alff Between Frequency Bandscontrasting

confidence: 99%

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Wei

Wang

et al. 2016

Neurotox Res

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“…The natural frequency or "spectral fingerprints" (Siegel, Donner, & Engel, 2012;Siegel & Donner, 2010) has been confirmed in high frequency range by electrophysiological studies Tobimatsu et al, 1999). Recent studies have shown the frequency-specific functional connectivity (Gohel & Biswal, 2015;Wu et al, 2008), amplitude (Zhang et al, 2015;Liu et al, 2013;Zuo et al, 2010), and regional homogeneity (Song, Zhang, & Liu, 2014), suggesting that frequency-dependent brain activities also exist in lowfrequency BOLD fluctuations. The multiple generative mechanisms of low-frequency neural oscillations also support regional-specific natural frequencies (Siegel et al, 2012;Rosanova et al, 2009;Sanchez-Vives & McCormick, 2000).…”

Section: Potential Mechanisms Of Ssbrsmentioning

confidence: 87%

Steady-state BOLD Response to Higher-order Cognition Modulates Low-Frequency Neural Oscillations

Wang

Gang-shu

Liu

et al. 2015

Journal of Cognitive Neuroscience

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Steady-state responses (SSRs) reflect the synchronous neural oscillations evoked by noninvasive and consistently repeated stimuli at the fundamental or harmonic frequencies. The steady-state evoked potentials (SSEPs; the representative form of the SSRs) have been widely used in the cognitive and clinical neurosciences and brain-computer interface research. However, the steady-state evoked potentials have limitations in examining high-frequency neural oscillations and basic cognition. In addition, synchronous neural oscillations in the low frequency range (<1 Hz) and in higher-order cognition have received a little attention. Therefore, we examined the SSRs in the low frequency range using a new index, the steady-state BOLD responses (SSBRs) evoked by semantic stimuli. Our results revealed that the significant SSBRs were induced at the fundamental frequency of stimuli and the first harmonic in task-related regions, suggesting the enhanced variability of neural oscillations entrained by exogenous stimuli. The SSBRs were independent of neurovascular coupling and characterized by sensorimotor bias, an indication of regional-dependent neuroplasticity. Furthermore, the amplitude of SSBRs may predict behavioral performance and show the psychophysiological relevance. Our findings provide valuable insights into the understanding of the SSRs evoked by higher-order cognition and how the SSRs modulate low-frequency neural oscillations.

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“…However, recently, groups have begun to investigate the neuronal contribution of this frequency range. For example Gohel and Biswal (2015) recently demonstrated that resting-state networks (including the DMN) were consistently observed across multiple frequency bands, including slow-2 (0.198-0.50 Hz) and slow-3 (0.073-0.0198 Hz), which overlap with the SF1 frequency range (0.125-0.250 Hz) that we used. In their discussion, the authors suggest that this finding implies that there is a substantial neuronal contribution to this frequency range.…”

Section: Limitationsmentioning

confidence: 99%

Investigation of Multiple Frequency Ranges Using Discrete Wavelet Decomposition of Resting-State Functional Connectivity in Mild Traumatic Brain Injury Patients

et al. 2015

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The aim of this study was to investigate if discrete wavelet decomposition provides additional insight into resting-state processes through the analysis of functional connectivity within specific frequency ranges within the default mode network (DMN) that may be affected by mild traumatic brain injury (mTBI). Participants included 32 mTBI patients (15 with postconcussive syndrome [PCS + ] and 17 without [PCSÀ]). mTBI patients received resting-state functional magnetic resonance imaging (rs-fMRI) at acute (within 10 days of injury) and chronic (6 months postinjury) time points and were compared with 31 controls (healthy control [HC]). The wavelet decomposition divides the time series into multiple frequency ranges based on four scaling factors (SF1: 0.125-0.250 Hz, SF2: 0.060-0.125 Hz, SF3: 0.030-0.060 Hz, SF4: 0.015-0.030 Hz). Within each SF, wavelet connectivity matrices for nodes of the DMN were created for each group (HC, PCS + , PCSÀ), and bivariate measures of strength and diversity were calculated. The results demonstrate reduced strength of connectivity in PCS + patients compared with PCSÀ patients within SF1 during both the acute and chronic stages of injury, as well as recovery of connectivity within SF1 across the two time points. Furthermore, the PCSÀ group demonstrated greater network strength compared with controls at both time points, suggesting a potential compensatory or protective mechanism in these patients. These findings stress the importance of investigating resting-state connectivity within multiple frequency ranges; however, many of our findings are within SF1, which may overlap with frequencies associated with cardiac and respiratory activities.

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Functional Integration Between Brain Regions at Rest Occurs in Multiple-Frequency Bands

Cited by 182 publications

References 47 publications

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Steady-state BOLD Response to Higher-order Cognition Modulates Low-Frequency Neural Oscillations

Investigation of Multiple Frequency Ranges Using Discrete Wavelet Decomposition of Resting-State Functional Connectivity in Mild Traumatic Brain Injury Patients

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