Altered temporal variance and neural synchronization of spontaneous brain activity in anesthesia

Huang, Zirui; Wang, Zhiyao; Zhang, Jianfeng; Dai, Ruwei; Wu, Jinsong; Li, Yuan; Li, Weimin; Mao, Ying; Yang, Zhong; Holland, Giles; Zhang, Jun; Northoff, Georg

doi:10.1002/hbm.22556

Cited by 68 publications

(81 citation statements)

References 63 publications

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“…More specifically, disorders of consciousness, 23 absence epilepsy, 52,53 slow-wave sleep, 25,44 and propofol 14 and sevoflurane 39 anesthesia all are associated with reduced correlation between the posterior (posterior parietal precuneus cortex; PCC) and anterior (medial prefrontal cortex; mPFC) components of the DMN. Reduced anterior-posterior FC in the DMN has been related to impairments in memory consolidation, 54,55 which may relate to the amnesic effects of sevoflurane.…”

Section: Discussionmentioning

confidence: 99%

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Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness

et al. 2015

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Background Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) has been used to study the effects of anesthetic agents on correlated intrinsic neural activity. Prior studies have focused primarily on intravenous agents. We studied the effects of sevoflurane, an inhaled anesthetic. Methods Resting state BOLD fMRI was acquired from ten subjects before sedation and from nine rendered unresponsive by 1.2% sevoflurane. The fMRI data were analyzed taking particular care to minimize the impact of artifact generated by head motion. Results BOLD correlations were specifically weaker within the default mode (DMN) and ventral attention network (VAN) during sevoflurane-induced unconsciousness, especially between anterior and posterior midline regions. Reduced functional connectivity between these same networks and the thalamus were also spatially localized to midline frontal regions. The amplitude of BOLD signal fluctuations was substantially reduced across all brain regions. The importance of censoring epochs contaminated by head motion was demonstrated by comparative analyses. Conclusions Sevoflurane-induced unconsciousness is associated both with globally reduced BOLD signal amplitudes and with selectively reduced functional connectivity within cortical networks associated with consciousness (DMN) and orienting to salient external stimuli (VAN). Scrupulous attention to minimizing the impact of head motion artifact is critical in fMRI studies employing anesthetic agents.

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Section: Discussionmentioning

confidence: 99%

“…Previous observations suggest that anesthetic agents affect the amplitude of intrinsic activity more than its correlation structure. 38,39 Accordingly, we also report covariance analyses of BOLD time-series, in which sensitivity to the amplitude of BOLD fluctuations is retained. Algebraic formulae are given in the Appendix.…”

Section: Methodsmentioning

confidence: 99%

Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness

et al. 2015

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“…fSD as a variability measure has been shown to link directly to neuronal activity implicated in the neuronal processing of incoming stimuli and neuronal outputs, thus underscoring its physiological relevance (40,(42)(43)(44)(45). Neuronal variability was found to be altered in Alzheimer disease (46, 47), brain injury (48), vegetative state (49), anesthesia (50), and schizophrenia (51,52). Together, these findings suggest high neurophysiological and neuropsychiatric relevance of neuronal variability as an index of neural activity, which remains to be investigated in BD and its phases.…”

Section: Significancementioning

confidence: 99%

“…Recently, the lowfrequency oscillations were further subdivided into two frequency bands in the healthy brain: Slow5 (0.01-0.027 Hz) is strongest in the anterior DMN and Slow4 (0.027-0.073 Hz) is strongest throughout the basal ganglia and thalamus (35,46,51,53,(56)(57)(58)(59). Significant alterations in variability, in Slow5 SD especially, were found in disorders of consciousness, such as vegetative states (49) and anesthesia (50). This remains to be investigated in BD and its phases.…”

Section: Significancementioning

confidence: 99%

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

Martino

Magioncalda

Huang

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Depressive and manic phases in bipolar disorder show opposite constellations of affective, cognitive, and psychomotor symptoms. At a neural level, these may be related to topographical disbalance between large-scale networks, such as the default mode network (DMN) and sensorimotor network (SMN). We investigated topographical patterns of variability in the resting-state signal-measured by fractional SD (fSD) of the BOLD signal-of the DMN and SMN (and other networks) in two frequency bands (Slow5 and Slow4) with their ratio and clinical correlations in depressed (n = 20), manic (n = 20), euthymic (n = 20) patients, and healthy controls (n = 40). After controlling for global signal changes, the topographical balance between the DMN and SMN, specifically in the lowest frequency band, as calculated by the Slow5 fSD DMN/SMN ratio, was significantly increased in depression, whereas the same ratio was significantly decreased in mania. Additionally, Slow5 variability was increased in the DMN and decreased in the SMN in depressed patients, whereas the opposite topographical pattern was observed in mania. Finally, the Slow5 fSD DMN/SMN ratio correlated positively with clinical scores of depressive symptoms and negatively with those of mania. Results were replicated in a smaller independent bipolar disorder sample. We demonstrated topographical abnormalities in frequency-specific resting-state variability in the balance between DMN and SMN with opposing patterns in depression and mania. The Slow5 DMN/SMN ratio was tilted toward the DMN in depression but was shifted toward the SMN in mania. The Slow5 fSD DMN/SMN pattern could constitute a state-biomarker in diagnosis and therapy. bipolar disorder | neuronal variability | default mode network | sensorimotor network B ipolar disorder (BD) type I is a debilitating psychiatric disease with recurrent episodes of depression and mania, characterized by opposite constellations of psychopathological symptoms (1, 2). Typically, depression is characterized by mood biased toward negative affect, cognitive symptoms with thought internally focused: that is, self-focused (which manifests in ruminations) and inhibited psychomotor behavior (which manifests in psychomotor retardation). In contrast, most commonly mania presents mood biased toward positive affect, cognitive symptoms with thought externally focused: that is, environment-focused (which manifests in flight of ideas/ distractibility) and excited psychomotor behavior (which manifests in psychomotor agitation) (1-7). The neural basis underlying such co-occurrence of psychopathological symptoms with opposing constellations in depressive and manic phases of BD, however, remains unclear.Affect, thought, and psychomotor functions can be related to distinct neural networks in the brain's resting state. One central network is the default-mode network (DMN), which was first defined as a group of brain areas consistently showing decrease from baseline state during task-related activity and is indicative of an organization within the brain's ...

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“…In both regions, we quantified Glx and GABA neurotransmitters, as well as the cerebral spinal fluid (CSF), gray matter (GM) and white matter (WM) content. Also, we computed the regional PLE and the SD, indices of the resting-state temporal structural and variance respectively, as previously described 24,55 (see supplementary methods, supplementary figure 2 and table 1).…”

Section: Mr Sessionmentioning

confidence: 99%

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

Ferri

Nikolova

Perrucci

et al. 2017

Schizophrenia Bulletin

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Our coherent perception of external events is enabled by the integration of inputs from different senses occurring within a range of temporal offsets known as the temporal binding window (TBW), which varies from person to person. A relatively wide TBW may increase the likelihood that stimuli originating from different environmental events are erroneously integrated and abnormally large TBW has been found in psychiatric disorders characterized by unusual perceptual experiences. Despite strong evidence of inter-individual differences in TBW, both within clinical and nonclinical populations, the neurobiological underpinnings of this variability remain unclear. We adopted an integrated strategy linking TBW to temporal dynamics in functional magnetic resonance imaging (fMRI)-resting-state activity and cortical excitation/inhibition (E/I) balance. E/I balance was indexed by glutamate/Gamma-AminoButyric Acid (GABA) concentrations and common variation in glutamate and GABA genes in a healthy sample. Stronger resting-state longrange temporal correlations, indicated by larger power law exponent (PLE), in the auditory cortex, robustly predicted narrower audio-tactile TBW, which was in turn associated with lower cognitive-perceptual schizotypy. Furthermore, PLE was highest and TBW narrowest for individuals with intermediate levels of E/I balance, with shifts towards either extreme resulting in reduced multisensory temporal precision and increased schizotypy, effectively forming a neural "tuning curve" for multisensory experience and schizophrenia risk. Our findings shed light on the neurobiological underpinnings of multisensory integration and its potentially clinically relevant inter-individual variability.

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Altered temporal variance and neural synchronization of spontaneous brain activity in anesthesia

Cited by 68 publications

References 63 publications

Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness

Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

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