Fractal Analysis of BOLD Time Series in a Network Associated With Waiting Impulsivity

Akhrif, Atae; Romanos, Marcel; Domschke, Katharina; Schmitt-Boehrer, Angelika; Neufang, Susanne

doi:10.3389/fphys.2018.01378

Cited by 21 publications

(26 citation statements)

References 91 publications

(164 reference statements)

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“…The posterior cingulate cortex has been suggested to be a key region that links distinct functional networks to enable efficient cognitive function, in particular, working memory and focused attention [45]. One fMRI study that addressed the functional correlates of waiting impulsivity in HC showed the discriminative activity of middle frontal gyrus between subjects with high and low waiting impulsivity [46]. Further large-scale studies will be warranted to address the potential role of clinical and neurobiological heterogeneity of TD on task performance and network dysfunction in light of recent findings suggesting that brain networks are differentially altered in adults and children with TD [47].…”

Section: Discussionmentioning

confidence: 99%

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

et al. 2020

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Tourette disorder (TD), which is characterized by motor and vocal tics, is not in general considered as a product of impulsivity, despite a frequent association with attention deficit hyperactivity disorder and impulse control disorders. It is unclear which type of impulsivity, if any, is intrinsically related to TD and specifically to the severity of tics. The waiting type of motor impulsivity, defined as the difficulty to withhold a specific action, shares some common features with tics. In a large group of adult TD patients compared to healthy controls, we assessed waiting motor impulsivity using a behavioral task, as well as structural and functional underpinnings of waiting impulsivity and tics using multi-modal neuroimaging protocol. We found that unmedicated TD patients showed increased waiting impulsivity compared to controls, which was independent of comorbid conditions, but correlated with the severity of tics. Tic severity did not account directly for waiting impulsivity, but this effect was mediated by connectivity between the right orbito-frontal cortex with caudate nucleus bilaterally. Waiting impulsivity in unmedicated patients with TD also correlated with a higher gray matter signal in deep limbic structures, as well as connectivity with cortical and with cerebellar regions on a functional level. Neither behavioral performance nor structural or functional correlates were related to a psychometric measure of impulsivity or impulsive behaviors in general. Overall, the results suggest that waiting impulsivity in TD was related to tic severity, to functional connectivity of orbito-frontal cortex with caudate nucleus and to structural changes within limbic areas.

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Section: Discussionmentioning

confidence: 99%

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

et al. 2020

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“…One possible reason is that the noise obtained from the scanner (e.g. pink noise or 1/f noise) might be flattened out when concatenating multiple scans together (Afshinpour et al, 2008;Akhrif et al, 2018). When a single long scan is acquired, however, the noise is maintained as the main variation between test and retest sessions, thereby reducing reliability.…”

Section: Discussionmentioning

confidence: 99%

Impact of Concatenating fMRI Data on Reliability for Functional Connectomics

Cho

Korchmaros

Vogelstein

et al. 2020

Preprint

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2Compelling evidence suggests the need for more data per individual to reliably map the functional 3 organization of the human connectome. As the notion that 'more data is better' emerges as a golden 4 rule for functional connectomics, researchers find themselves grappling with the challenges of how 5 to obtain the desired amounts of data per participant in a practical manner, particularly for 6 retrospective data aggregation. Increasingly, the aggregation of data across all fMRI scans 7 available for an individual is being viewed as a solution, regardless of scan condition (e.g., rest, 8 task, movie). A number of open questions exist regarding the aggregation process and the impact 9 of different decisions on the reliability of resultant aggregate data. We leveraged the availability 10 of highly sampled test-retest datasets to systematically examine the impact of data aggregation 11 strategies on the reliability of whole-brain functional connectomics. Specifically, we compared 12 functional connectivity estimates derived after concatenating from: 1) multiple scans under the 13 same state, 2) multiple scans under different states (i.e. hybrid or general functional connectivity), 14 and 3) subsets of one long scan. We also varied connectivity processing (i.e. global signal 15 regression, ICA-FIX, and task regression) and estimation procedures. When the total number of 16 time points is equal, and the scan state held constant, concatenating multiple shorter scans had a 17 clear advantage over a single long scan. However, this was not necessarily true when concatenating 18 across different fMRI states (i.e. task conditions), where the reliability from the aggregate data 19 varied across states. Concatenating fewer numbers of states that are more reliable tends to yield 20 higher reliability. Our findings provide an overview of multiple dependencies of data 21 concatenation that should be considered to optimize reliability in analysis of functional 22 connectivity data.

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“…The decrease of H occurred during the task performance in comparison to resting state (He, 2011;Ciuciu et al, 2012). Moreover, H changed in healthy aging (Suckling et al, 2008;Dong et al, 2018), personal traits as impulsivity (Hahn et al, 2012;Akhrif et al, 2018), and mental disease, such as major depressive disorder (Wei et al, 2013), schizophrenia (Sokunbi et al, 2014) and Alzheimer's disease (Maxim et al, 2005).…”

Section: Introductionmentioning

confidence: 98%

Variance and Scale-Free Properties of Resting-State BOLD Signal Alter after Fear Memory Acquisition and Extinction

Tetereva

Kartashov

Ivanitsky

et al. 2019

Preprint

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Previous studies showed differences in brain dynamics during rest and different tasks. We aimed to find changes of variance and scale-free properties of blood oxygenation level-dependent (BOLD) signal between resting-state sessions before and after fear learning and fear memory extinction in twenty-three healthy right-handed volunteers. During a 1-hour break between MRI-scanning, subjects passed through fear extinction procedure, followed by Pavlovian fear conditioning with weak electrical stimulation. After preprocessing, we extracted the average time course of BOLD signal from 245 regions of interest (ROI) taken from the resting-state functional atlas. The variance of the BOLD signal in and Hurst exponent (H), which reflects the scale-free dynamic, were compared in resting states before after fear learning. Six ROIs showed a significant difference in H after fear extinction, including areas from the fear and memory networks. In consistency with the previous results, H decreased during fear extinction but then increased higher than before, specifically in areas related to fear extinction network, whereas the other ROIs restored H to the initial level. The BOLD signal variance showed distinct behavior: the variance in subcortical regions increased permanently, while cortical areas demonstrated a decreasing variance during fear extinction and the reverse growth in resting state after fear extinction. A limited number of ROIs showed both changes in H and the variance. Our results suggest that the variability and scale-free properties of the BOLD signal are sensitive indicators of the residual brain activity related to the recent experience.

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Fractal Analysis of BOLD Time Series in a Network Associated With Waiting Impulsivity

Cited by 21 publications

References 91 publications

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

Impact of Concatenating fMRI Data on Reliability for Functional Connectomics

Variance and Scale-Free Properties of Resting-State BOLD Signal Alter after Fear Memory Acquisition and Extinction

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