Pinpointing Moments of High Anxiety During an MRI Examination

Minde, Daisy van; Klaming, Laura; Weda, Hans

doi:10.1007/s12529-013-9339-5

Cited by 28 publications

(32 citation statements)

References 22 publications

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“…Although patterns of neural activation were most often classified as neutral as a whole, it is possible that consistent fluctuations in the time course of emotional states occur against this background. Research on MRI scanner-related anxiety has shown that self-report [ 22 , 23 ] and peripheral physiological [ 24 ] measures of anxiety peak at the beginning of scanning, when subjects first enter the scanner bore. This literature predicts that brain states indicative of fear should be most prevalent at the beginning of resting-state runs, and that neutral states should emerge over time, given their overall high prevalence ( Fig 2B ).…”

Section: Resultsmentioning

confidence: 99%

Decoding Spontaneous Emotional States in the Human Brain

et al. 2016

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Pattern classification of human brain activity provides unique insight into the neural underpinnings of diverse mental states. These multivariate tools have recently been used within the field of affective neuroscience to classify distributed patterns of brain activation evoked during emotion induction procedures. Here we assess whether neural models developed to discriminate among distinct emotion categories exhibit predictive validity in the absence of exteroceptive emotional stimulation. In two experiments, we show that spontaneous fluctuations in human resting-state brain activity can be decoded into categories of experience delineating unique emotional states that exhibit spatiotemporal coherence, covary with individual differences in mood and personality traits, and predict on-line, self-reported feelings. These findings validate objective, brain-based models of emotion and show how emotional states dynamically emerge from the activity of separable neural systems.

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Section: Resultsmentioning

confidence: 99%

Decoding Spontaneous Emotional States in the Human Brain

et al. 2016

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“…) (for example, due to the loud sounds and novel sensations of the stimulation, similar to elevated heart rates during the start of MRI investigations; van Minde et al . ). In an attempt to control for these factors, all participants in the study first attended a preliminary session to experience sensation of TMS test pulses.…”

Section: Discussionmentioning

confidence: 97%

“…Most of these factors, however, can be controlled for with adequate sample sizes or factored into the statistical analysis if appropriately documented and reported. Another possible reason for low reliability may be due in part to elevated anxiety associated with participants naive to stimulation inducing protocols which may affect cortical excitability (Wassermann et al 2001) (for example, due to the loud sounds and novel sensations of the stimulation, similar to elevated heart rates during the start of MRI investigations; van Minde et al 2013). In an attempt to control for these factors, all participants in the study first attended a preliminary session to experience sensation of TMS test pulses.…”

Section: Reproducibility and Variability Of Tdcs Effects On Cortical mentioning

confidence: 99%

Systematic evaluation of the impact of stimulation intensity on neuroplastic after‐effects induced by transcranial direct current stimulation

Jamil

Batsikadze

Kuo

et al. 2016

The Journal of Physiology

333

287

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Contemporary non-invasive neuromodulatory techniques, such as transcranial direct current stimulation (tDCS), have shown promising potential in both restituting impairments in cortical physiology in clinical settings, as well as modulating cognitive abilities in the healthy population. However, neuroplastic after-effects of tDCS are highly dependent on stimulation parameters, relatively short lasting, and not expectedly uniform between individuals. The present study systematically investigates the full range of current intensity between 0.5 and 2.0 mA on left primary motor cortex (M1) plasticity, as well as the impact of individual-level covariates on explaining inter-individual variability. Thirty-eight healthy subjects were divided into groups of anodal and cathodal tDCS. Five DC intensities (sham, 0.5, 1.0, 1.5 and 2.0 mA) were investigated in separate sessions. Using transcranial magnetic stimulation (TMS), 25 motor-evoked potentials (MEPs) were recorded before, and 10 time points up to 2 h following 15 min of tDCS. Repeated-measures ANOVAs indicated a main effect of intensity for both anodal and cathodal tDCS. With anodal tDCS, all active intensities resulted in equivalent facilitatory effects relative to sham while for cathodal tDCS, only 1.0 mA resulted in sustained excitability diminution. An additional experiment conducted to assess intra-individual variability revealed generally good reliability of 1.0 mA anodal tDCS (ICC(2,1) = 0.74 over the first 30 min). A post hoc analysis to discern sources of inter-individual variability confirmed a previous finding in which individual TMS SI (stimulus intensity for 1 mV MEP amplitude) sensitivity correlated negatively with 1.0 mA anodal tDCS effects on excitability. Our study thus provides further insights on the extent of non-linear intensity-dependent neuroplastic after-effects of anodal and cathodal tDCS.

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“…The average RMS motion parameters were not identical when compared intraindividually, with significantly lower values for contrast-enhanced studies compared to precontrast. We suspect that this results from the fact that patients were better accustomed to the MRI environment after one acquisition series, with gradual acclimation [26].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors

et al. 2019

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Purpose: A 3D fat-navigator (3D FatNavs) based retrospective motion correction is an elegant approach to correct for motion as it requires no additional hardware and can be acquired during existing 'dead-time' within common 3D protocols. The purpose of this study was to clinically evaluate 3D FatNavs in the work-up of brain tumors. Materials and Methods: An MRI-based fat-excitation motion navigator incorporated into a standard MPRAGE sequence was acquired in 40 consecutive patients with (or with suspected) brain tumors, pre and post-Gadolinium injection. Each case was categorized into key anatomical landmarks, the temporal lobes, the infra-tentorial region, the basal ganglia, the bifurcations of the middle cerebral artery and the A2 segment of the anterior cerebral artery. First, the severity of motion in the non-corrected MPRAGE was assessed for each landmark, using a 5-point score from 0 (no artifacts) to 4 (non-diagnostic). Second, the improvement in image quality in each pair and for each landmark was assessed blindly using a 4-point score from 0 (identical) to 3 (strong correction). Results: The mean image improvement score throughout the datasets was 0.54. Uncorrected cases with light and no artifacts displayed scores of 0.50 and 0.13 respectively, while cases with moderate artifacts, severe artifacts and non-diagnostic image quality revealed a mean score of 1.17, 2.25 and 1.38 respectively. Conclusion: Fat-navigator based retrospective motion correction significantly improved MPRAGE image quality in restless patients during MRI acquisition. There was no loss of image quality in patients with little or no motion, and improvements were consistent in patients who moved more.

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Pinpointing Moments of High Anxiety During an MRI Examination

Cited by 28 publications

References 22 publications

Decoding Spontaneous Emotional States in the Human Brain

Decoding Spontaneous Emotional States in the Human Brain

Systematic evaluation of the impact of stimulation intensity on neuroplastic after‐effects induced by transcranial direct current stimulation

Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors

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