Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI

Hiltunen, Tuija; Kantola, Jussi; Elseoud, Ahmed Abou; Lepola, Pasi; Suominen, Kalervo; Starck, Tuomo; Nikkinen, Juha; Remes, Jukka; Tervonen, Osmo; Palva, Satu; Kiviniemi, Vesa

doi:10.1523/jneurosci.0276-13.2014

Cited by 187 publications

(175 citation statements)

References 69 publications

(43 reference statements)

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“…7,8,16,42 However, currently the widest agreement for the source of LF BOLD fluctuations in functionally connected brain regions (or networks) is electrophysiological activity coupled with neurovascular activity. 19,23,[43][44][45] The previously detected quasi-periodic pulsations seem to be reminiscent of VLF/LF vasomotor waves that in theory could influence glymphatic convection of CSF. As the arterial wall pressure clearly affects the convection of CSF into the brain, 46 slow waves in vasomotor tone, i.e.…”

Section: Vlf/lf Waves Form Complex and Dynamic Spatiotemporal Effectsmentioning

confidence: 85%

Ultra-fast magnetic resonance encephalography of physiological brain activity – Glymphatic pulsation mechanisms?

Kiviniemi

Wang

Korhonen

et al. 2015

J Cereb Blood Flow Metab

302

352

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The theory on the glymphatic convection mechanism of cerebrospinal fluid holds that cardiac pulsations in part pump cerebrospinal fluid from the peri-arterial spaces through the extracellular tissue into the peri-venous spaces facilitated by aquaporin water channels. Since cardiac pulses cannot be the sole mechanism of glymphatic propulsion, we searched for additional cerebrospinal fluid pulsations in the human brain with ultra-fast magnetic resonance encephalography. We detected three types of physiological mechanisms affecting cerebral cerebrospinal fluid pulsations: cardiac, respiratory, and very low frequency pulsations. The cardiac pulsations induce a negative magnetic resonance encephalography signal change in peri-arterial regions that extends centrifugally and covers the brain in &1 Hz cycles. The respiratory &0.3 Hz pulsations are centripetal periodical pulses that occur dominantly in peri-venous areas. The third type of pulsation was very low frequency (VLF 0.001-0.023 Hz) and low frequency (LF 0.023-0.73 Hz) waves that both propagate with unique spatiotemporal patterns. Our findings using critically sampled magnetic resonance encephalography open a new view into cerebral fluid dynamics. Since glymphatic system failure may precede protein accumulations in diseases such as Alzheimer's dementia, this methodological advance offers a novel approach to image brain fluid dynamics that potentially can enable early detection and intervention in neurodegenerative diseases.

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Section: Vlf/lf Waves Form Complex and Dynamic Spatiotemporal Effectsmentioning

confidence: 85%

Ultra-fast magnetic resonance encephalography of physiological brain activity – Glymphatic pulsation mechanisms?

Kiviniemi

Wang

Korhonen

et al. 2015

J Cereb Blood Flow Metab

302

352

View full text Add to dashboard Cite

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“…Gradient and ballistocardiographic artifact correction was carried out with the average artifact subtraction method (Allen, Josephs, & Turner, 2000; Allen, Polizzi, Krakow, Fish, & Lemieux, 1998) as in our previous studies (Hiltunen et al., 2014; Korhonen et al., 2014). …”

Section: Methodsmentioning

confidence: 99%

Altered physiological brain variation in drug‐resistant epilepsy

et al. 2018

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IntroductionFunctional magnetic resonance imaging (fMRI) combined with simultaneous electroencephalography (EEG‐fMRI) has become a major tool in mapping epilepsy sources. In the absence of detectable epileptiform activity, the resting state fMRI may still detect changes in the blood oxygen level‐dependent signal, suggesting intrinsic alterations in the underlying brain physiology.MethodsIn this study, we used coefficient of variation (CV) of critically sampled 10 Hz ultra‐fast fMRI (magnetoencephalography, MREG) signal to compare physiological variance between healthy controls (n = 10) and patients (n = 10) with drug‐resistant epilepsy (DRE).ResultsWe showed highly significant voxel‐level (p < 0.01, TFCE‐corrected) increase in the physiological variance in DRE patients. At individual level, the elevations range over three standard deviations (σ) above the control mean (μ) CVMREG values solely in DRE patients, enabling patient‐specific mapping of elevated physiological variance. The most apparent differences in group‐level analysis are found on white matter, brainstem, and cerebellum. Respiratory (0.12–0.4 Hz) and very‐low‐frequency (VLF = 0.009–0.1 Hz) signal variances were most affected.ConclusionsThe CVMREG increase was not explained by head motion or physiological cardiorespiratory activity, that is, it seems to be linked to intrinsic physiological pulsations. We suggest that intrinsic brain pulsations play a role in DRE and that critically sampled fMRI may provide a powerful tool for their identification.

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“…Although the LFO signals examined in this study are hemodynamically generated, consensus is emerging that BOLD and electrophysiological signals within the infraslow frequency range may reflect the same underlying mechanism (He et al, 2008;Hiltunen et al, 2014;Palva and Palva, 2012). This study's focus on the cognitive relevance of intrinsic power in the infraslow range raises questions regarding the mechanistic source of these LFOs, as well as how they may interact with higher frequency oscillating brain signals more commonly studied with electrophysiological methods.…”

Section: Discussionmentioning

confidence: 94%

“…Though hemodynamically generated, spontaneous low-frequency BOLD signal fluctuations show strong covariation with intracranial electrocorticographic and local field potential recordings, both for slow oscillations in the raw electrophysiological signals and for slow fluctuations in highfrequency (ie, gamma-band) power (He et al, 2008;Leopold et al, 2003). Correlations of spontaneous fluctuations of infraslow range (0.01-0.1 Hz) scalp potentials with resting BOLD signal fluctuations are spatially constrained within functional connectivity networks (Hiltunen et al, 2014), suggesting a role for infraslow fluctuations in functional brain organization (Raichle, 2011).…”

Section: Introductionmentioning

confidence: 99%

Relating Intrinsic Low-Frequency BOLD Cortical Oscillations to Cognition in Schizophrenia

Fryer

Roach

Ford

et al. 2015

Neuropsychopharmacol

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The amplitude of low-frequency fluctuations (ALFF) in the blood oxygenation level-dependent (BOLD) signal during resting-state fMRI reflects the magnitude of local low-frequency BOLD oscillations, rather than interregional connectivity. ALFF is of interest to studies of cognition because fluctuations in spontaneous intrinsic brain activity relate to, and possibly even constrain, task-evoked brain responses in healthy people. Lower ALFF has been reported in schizophrenia, but the cognitive correlates of these reductions remain unknown. Here, we assess relationships between ALFF and attention and working memory in order to establish the functional relevance of intrinsic BOLD oscillatory power alterations with respect to specific cognitive impairments in schizophrenia. As part of the multisite FBIRN study, restingstate fMRI data were collected from schizophrenia subjects (SZ; n = 168) and healthy controls (HC; n = 166). Voxelwise fractional ALFF (fALFF), a normalized ALFF measure, was regressed on neuropsychological measures of sustained attention and working memory in SZ and HC to identify regions showing either common slopes across groups or slope differences between groups (all findings po0.01 height, po0.05 family-wise error cluster corrected). Poorer sustained attention was associated with smaller fALFF in the left superior frontal cortex and bilateral temporoparietal junction in both groups, with additional relationships in bilateral posterior parietal, posterior cingulate, dorsal anterior cingulate (ACC), and right dorsolateral prefrontal cortex (DLPFC) evident only in SZ. Poorer working memory was associated with smaller fALFF in bilateral ACC/mPFC, DLPFC, and posterior parietal cortex in both groups. Our findings indicate that smaller amplitudes of low-frequency BOLD oscillations during rest, measured by fALFF, were significantly associated with poorer cognitive performance, sometimes similarly in both groups and sometimes only in SZ, in regions known to subserve sustained attention and working memory. Taken together, these data suggest that the magnitude of resting-state BOLD oscillations shows promise as a biomarker of cognitive function in health and disease.

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Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI

Cited by 187 publications

References 69 publications

Ultra-fast magnetic resonance encephalography of physiological brain activity – Glymphatic pulsation mechanisms?

Ultra-fast magnetic resonance encephalography of physiological brain activity – Glymphatic pulsation mechanisms?

Altered physiological brain variation in drug‐resistant epilepsy

Relating Intrinsic Low-Frequency BOLD Cortical Oscillations to Cognition in Schizophrenia

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