Dorsal premotor activity and connectivity relate to action selection performance after stroke

Stewart, Jill Campbell; Dewanjee, Pritha; Shariff, Umar; Cramer, Steven C.

doi:10.1002/hbm.23138

Cited by 25 publications

(28 citation statements)

References 83 publications

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“…Rather, the ACH implies that such patients may demonstrate subtler decision making inabilities, depending on the extent and severity of the lesion. Interestingly, this is exactly what was observed in recent work (Stewart et al, 2016 ) where stroke patients with lesions in efferent pathways of right M1 regions displayed a significantly lower proportion of correct visually guided action selections in comparison to age-matched control participants. However, the proportion of correct action selections in stroke patients was still far largely above chance level.…”

Section: Discussionsupporting

confidence: 90%

Task-Relevant Information Modulates Primary Motor Cortex Activity Before Movement Onset

Calderon

Opstal

Peigneux

et al. 2018

Front. Hum. Neurosci.

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Monkey neurophysiology research supports the affordance competition hypothesis (ACH) proposing that cognitive information useful for action selection is integrated in sensorimotor areas. In this view, action selection would emerge from the simultaneous representation of competing action plans, in parallel biased by relevant task factors. This biased competition would take place up to primary motor cortex (M1). Although ACH is plausible in environments affording choices between actions, its relevance for human decision making is less clear. To address this issue, we designed an functional magnetic resonance imaging (fMRI) experiment modeled after monkey neurophysiology studies in which human participants processed cues conveying predictive information about upcoming button presses. Our results demonstrate that, as predicted by the ACH, predictive information (i.e., the relevant task factor) biases activity of primary motor regions. Specifically, first, activity before movement onset in contralateral M1 increases as the competition is biased in favor of a specific button press relative to activity in ipsilateral M1. Second, motor regions were more tightly coupled with fronto-parietal regions when competition between potential actions was high, again suggesting that motor regions are also part of the biased competition network. Our findings support the idea that action planning dynamics as proposed in the ACH are valid both in human and non-human primates.

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Section: Discussionsupporting

confidence: 90%

Task-Relevant Information Modulates Primary Motor Cortex Activity Before Movement Onset

Calderon

Opstal

Peigneux

et al. 2018

Front. Hum. Neurosci.

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“…The current form of visuomotor training was associated with generalization, i.e., two of the three tests of visuospatial skill also improved (Table 2 ), although a non-treated control group would be needed to insure that this was not in part attributable to learning effects from repeated testing. Being able to target specific circuits has been shown by our group as a possibility of rehabilitation to optimize motor recovery outcomes ( 63 , 64 ).…”

Section: Discussionmentioning

confidence: 99%

Predicting Gains With Visuospatial Training After Stroke Using an EEG Measure of Frontoparietal Circuit Function

et al. 2018

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The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circuit also predicts training-related gains in visuomotor tracking in patients with chronic hemiparetic stroke. Subjects (n = 12) underwent dense-array EEG recording at rest, then received 8 sessions of visuomotor tracking training delivered via home-based telehealth methods. Subjects showed significant training-related gains in the primary behavioral endpoint, Success Rate score on a standardized test of visuomotor tracking, increasing an average of 24.2 ± 21.9% (p = 0.003). Activity in the circuit of interest, measured as coherence (20–30 Hz) between leads overlying ipsilesional frontal (motor cortex) and parietal lobe, significantly predicted training-related gains in visuomotor tracking change, measured as change in Success Rate score (r = 0.61, p = 0.037), supporting the main study hypothesis. Results were specific to the hypothesized ipsilesional motor-parietal circuit, as coherence within other circuits did not predict training-related gains. Analyses were repeated after removing the four subjects with injury to motor or parietal areas; this increased the strength of the association between activity in the circuit of interest and training-related gains. The current study found that (1) Eight sessions of training can significantly improve performance on a visuomotor task in patients with chronic stroke, (2) this improvement can be realized using home-based telehealth methods, (3) an EEG-based measure of frontoparietal circuit function predicts training-related behavioral gains arising from that circuit, as hypothesized and with specificity, and (4) incorporating measures of both neural function and neural injury improves prediction of stroke rehabilitation therapy effects.

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“…In addition to evaluating FA, MD, AD, and RD, we also examined the reliability of the normalized tract integrity values (FA ratio and FA asymmetry) since these values are commonly related to measures of behavior in chronic stroke (Borich et al, ; Cassidy, Tran, Quinlan, & Cramer, ; Lindenberg et al, ; Stewart, Dewanjee, Shariff, & Cramer, ; Stewart et al, ; Stinear et al, ). FA ratio and FA asymmetry values were reliable across time (ICC = 0.82–0.98), with the mean values reflecting a relatively small difference between ipsilesional and contralesional CST.…”

Section: Discussionmentioning

confidence: 99%

Test–retest reliability and minimal detectable change of corticospinal tract integrity in chronic stroke

Lewis

Myers

Heiser

et al. 2020

Human Brain Mapping

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Diffusion tensor imaging (DTI) can be used to index white matter integrity of the corticospinal tract (CST) after stroke; however, the psychometric properties of DTIbased measures of white matter integrity are unknown. The purpose of this study was to examine test-retest reliability as determined by intraclass correlation coefficients (ICC) and calculate minimal detectable change (MDC) of DTI-based measures of CST integrity using three different approaches: a Cerebral Peduncle approach, a Probabilistic Tract approach, and a Tract Template approach. Eighteen participants with chronic stroke underwent DTI on the same magnetic resonance imaging scanner 4 days apart.For the Cerebral Peduncle approach, a researcher hand drew masks at the cerebral peduncle. For the Probabilistic Tract approach, tractography was seeded in motor areas of the cortex to the cerebral peduncle. For the Tract Template approach, a standard CST template was transformed into native space. For all approaches, the researcher performing analyses was blind to participant number and day of data collection. All three approaches had good to excellent test-retest reliability for fractional anisotropy (FA; ICCs >0.786). Mean diffusivity, axial diffusivity, and radial diffusivity were less reliable than FA. The ICC values were highest and MDC values were the smallest for the most automated approach (Tract Template), followed by the combined manual/automated approach (Probabilistic Tract) then the manual approach (Cerebral Peduncle). The results of this study may have implications for how DTI-based measures of CST integrity are used to define impairment, predict outcomes, and interpret change after stroke. K E Y W O R D S corticospinal tract, diffusion tensor imaging, fractional anisotropy, minimal detectable change, reliability, stroke

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Dorsal premotor activity and connectivity relate to action selection performance after stroke

Cited by 25 publications

References 83 publications

Task-Relevant Information Modulates Primary Motor Cortex Activity Before Movement Onset

Task-Relevant Information Modulates Primary Motor Cortex Activity Before Movement Onset

Predicting Gains With Visuospatial Training After Stroke Using an EEG Measure of Frontoparietal Circuit Function

Test–retest reliability and minimal detectable change of corticospinal tract integrity in chronic stroke

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