Development and implementation of an MR-compatible whole body video system

Neuner, Irene; Wegener, Peter; Stoecker, Tony; Kircher, Tilo; Schneider, Frank; Shah, N. Jon

doi:10.1016/j.neulet.2007.03.063

Cited by 21 publications

(21 citation statements)

References 3 publications

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“…Two MR-compatible cameras inside the MR scanner monitored the body and the face of the patients during the fMRI data acquisition. The MR compatible video camera system is described in more detail elsewhere (Neuner et al, 2007). For the analysis a standard GLM approach was used including the tic onsets as well as two arbitrarily set preceding time-points (2 and 1 s prior to tic occurrence) as regressors of interest (see below).…”

Section: Methodsmentioning

confidence: 99%

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Imaging the where and when of tic generation and resting state networks in adult Tourette patients

Neuner

Werner

Arrubla

et al. 2014

Front. Hum. Neurosci.

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129

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Introduction: Tourette syndrome (TS) is a neuropsychiatric disorder with the core phenomenon of tics, whose origin and temporal pattern are unclear. We investigated the When and Where of tic generation and resting state networks (RSNs) via functional magnetic resonance imaging (fMRI).Methods: Tic-related activity and the underlying RSNs in adult TS were studied within one fMRI session. Participants were instructed to lie in the scanner and to let tics occur freely. Tic onset times, as determined by video-observance were used as regressors and added to preceding time-bins of 1 s duration each to detect prior activation. RSN were identified by independent component analysis (ICA) and correlated to disease severity by the means of dual regression.Results: Two seconds before a tic, the supplementary motor area (SMA), ventral primary motor cortex, primary sensorimotor cortex and parietal operculum exhibited activation; 1 s before a tic, the anterior cingulate, putamen, insula, amygdala, cerebellum and the extrastriatal-visual cortex exhibited activation; with tic-onset, the thalamus, central operculum, primary motor and somatosensory cortices exhibited activation. Analysis of resting state data resulted in 21 components including the so-called default-mode network. Network strength in those regions in SMA of two premotor ICA maps that were also active prior to tic occurrence, correlated significantly with disease severity according to the Yale Global Tic Severity Scale (YGTTS) scores.Discussion: We demonstrate that the temporal pattern of tic generation follows the cortico-striato-thalamo-cortical circuit, and that cortical structures precede subcortical activation. The analysis of spontaneous fluctuations highlights the role of cortical premotor structures. Our study corroborates the notion of TS as a network disorder in which abnormal RSN activity might contribute to the generation of tics in SMA.

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Section: Methodsmentioning

confidence: 99%

“…TS patients were monitored with an MR-compatible camera-system (Neuner et al, 2007) to monitor tic related whole-body motor activity.…”

Section: Methodsmentioning

confidence: 99%

Imaging the where and when of tic generation and resting state networks in adult Tourette patients

Neuner

Werner

Arrubla

et al. 2014

Front. Hum. Neurosci.

Self Cite

160

129

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“…Deployment of an intentional inhibition task requires that participants are not simultaneously attempting to suppress tics, since this would impact fMRI measurements of motor inhibition networks. Therefore, we allowed participants to tic and applied the alternative strategy of using video recordings of participants' face and limbs to generate 'tic regressors' and thus remove the influence of tic expression on fMRI analyses (Neuner et al, 2007;Thomalla et al, 2014;Rae et al, 2018). Although this approach was as comprehensive as conceivably feasible, it remains possible that some phonic tics were not captured.…”

Section: Study Limitations and Future Directionsmentioning

confidence: 99%

“…We then used this to construct participant-specific tic regressors to isolate activity related to tic expression from task performance. This approach enabled examination of task effects uncontaminated by tic expression or suppression (Neuner et al, 2007;Thomalla et al, 2014;Rae et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Amplified engagement of prefrontal cortex during control of voluntary action in Tourette syndrome

Rae¹

2020

Preprint

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Tourette syndrome is characterised by 'unvoluntary' tics, which are compulsive, yet often temporarily suppressible. The inferior frontal gyrus (IFG) is implicated in motor control, including inhibition of pre-potent actions through influences on downstream subcortical and motor regions. While tic suppression in Tourette Syndrome also engages the IFG, it is unclear whether such prefrontal control of action is also dysfunctional: Tic suppression studies do not permit comparison with control groups, and neuroimaging studies of motor inhibition can be confounded by the concurrent expression or suppression of tics. Here, patients with Tourette syndrome were directly compared to control participants when performing an intentional inhibition task during fMRI. Tic expression was recorded throughout for removal from statistical models. Participants were instructed to make a button press in response to Go cues, withheld responses to NoGo cues to, and decide whether to press or withhold to 'Choose' cues. Overall performance was similar between groups, for both intentional inhibition rates (% Choose-Go) and reactive NoGo inhibition commission errors. A subliminal face prime elicited no additional effects on intentional or reactive inhibition. Across participants, the task activated prefrontal and motor cortices and subcortical nuclei, including pre-supplementary motor area (preSMA), IFG, insula, caudate nucleus, thalamus, and primary motor cortex. In Tourette syndrome, activity was elevated in the IFG, insula, and basal ganglia, most notably within the right IFG during voluntary action and inhibition (Choose-Go and Choose-NoGo), and reactive inhibition (NoGo-correct). Anatomically, the locus of this IFG hyperactivation during control of voluntary action matched that previously reported for tic suppression. In Tourette syndrome, activity within the caudate nucleus was also enhanced during both intentional (Choose-NoGo) and reactive (NoGo-correct) inhibition. Strikingly, despite the absence of overt motor behaviour, primary motor cortex activity increased in patients with Tourette syndrome but decreased in controls during both reactive and intentional inhibition. Additionally, severity of premonitory sensations scaled with functional connectivity of the preSMA to the caudate nucleus, globus pallidus, and thalamus when choosing to respond (Choose-Go). Together, these results suggest that patients with Tourette syndrome use equivalent prefrontal mechanisms to suppress tics and withhold non-tic actions, but require greater IFG engagement than controls to overcome motor drive from hyperactive downstream regions, notably primary motor cortex.Moreover, premonitory sensations may cue midline motor regions to generate tics through interactions with the basal ganglia.

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“…These include interictal activity in epilepsy, tics in Tourette's Syndrome, and schizophrenic hallucinations. In these situations, the stimulus or event may be monitored (Bohlhalter, et al 2006; Gates, et al 2004; Neuner, et al 2007) or reported by the subject (Bar, et al 2002; Bentaleb, et al 2002; Lennox, et al 2000; Oertel, et al 2007; Shergill, et al 2001); but this may not always be reliable or practical. In the case of epilepsy, MRI-compatible EEG hardware and analysis software (Gotman, et al 2004; Hamandi, et al 2004; Laufs, et al 2008) are required to detect the timing of the interictal activity at the scalp.…”

Section: Introductionmentioning

confidence: 99%

Detection of irregular, transient fMRI activity in normal controls using 2dTCA: Comparison to event‐related analysis using known timing

Morgan

Gore

2009

Human Brain Mapping

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When events occur spontaneously during the acquisition of a series of images, traditional modeling methods for detecting functional MRI activation detection cannot be employed. The two-dimensional Temporal Clustering Algorithm, 2dTCA, has been shown to accurately detect random, transient activations in computer simulations without the use of known event timings. In this study we applied the 2dTCA technique to detect the timings and spatial locations of sparse, irregular, transient activations of the visual, auditory and motor cortices in 12 normal controls. Experiments with one and two independent types of stimuli were employed. Event-related activation using known timing was compared to event-related activation using 2dTCA detected timing in individuals and across groups. The 2dTCA algorithm detected the activation from all presented stimuli in every subject. When compared to block-design results using a measure of correlation between activation maps, no significant difference was found between the 2dTCA activation maps and the event-related maps using known timing across all subjects. Therefore, 2dTCA has the potential to be an accurate and more practical method for detection of spontaneous, transient events using fMRI.

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Development and implementation of an MR-compatible whole body video system

Cited by 21 publications

References 3 publications

Imaging the where and when of tic generation and resting state networks in adult Tourette patients

Imaging the where and when of tic generation and resting state networks in adult Tourette patients

Amplified engagement of prefrontal cortex during control of voluntary action in Tourette syndrome

Detection of irregular, transient fMRI activity in normal controls using 2dTCA: Comparison to event‐related analysis using known timing

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