Differential Behavioral and Neural Effects of Regional Cerebellar tDCS

Rice, Laura C.; D’Mello, Anila M.; Stoodley, Catherine J.

doi:10.1016/j.neuroscience.2021.03.008

Cited by 20 publications

(20 citation statements)

References 67 publications

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“…Previous work reporting modulation of comprehension-based task performance as a result of cerebellar tDCS focused on predictive aspects of language processing (D' Mello et al, 2017;Miall et al, 2016;Rice et al, 2021). The current study adds to this by demonstrating improved performance during anodal tDCS relative to sham in a lexical decision task, which required the evaluation of the lexical status of visually presented stimuli.…”

Section: Figure 4 Results From Exploratory Analyses Including Cognitive Load (High Vs Low) In the Rt Analysis Of The Sentence Comprehensisupporting

confidence: 52%

“…Additionally, a cathodal tDCS study showed that cathodal tDCS of the right cerebellum facilitated performance on a verb generation task compared to anodal and sham tDCS (Pope & Miall, 2012), which, however, could not be replicated (Spielmann et al 2017). Furthermore, anodal tDCS of the right cerebellar hemisphere has been reported to improve performance in linguistic prediction tasks (D'Mello et al, 2017;Miall et al, 2016;Rice et al, 2021) and phonemic fluency (Turkeltaub et al, 2016), but decrease performance in a verbal working memory task at medium (Macher et al, 2014) and high difficulty (Maldonado & Bernard, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Cerebellar tDCS does not modulate language processing performance in healthy individuals

Bongaerts¹,

Schutter²,

Klaus³

2021

Preprint

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Clinical and neuroscientific studies in healthy volunteers have established that the cerebellum contributes to language comprehension and production. Yet most evidence is correlational and the exact role of the cerebellum remains unclear. The aim of this study was to investigate the role of the right cerebellum in unimpaired language comprehension and production using non-invasive brain stimulation. In this double-blind, sham-controlled experiment, thirty-six healthy participants received anodal or sham transcranial direct current (tDCS) stimulation to the right cerebellum while performing a lexical decision, sentence comprehension, verbal fluency and language-unrelated control task. Results showed that anodal relative to sham tDCS caused faster manual responses in the lexical decision task. Additional exploratory analyses suggest load-specific performance modulation in the sentence comprehension and lexical decision task, with tDCS improving performance in low-load trials of the sentence comprehension task and high-load trials in the lexical decision task. Overall, our findings provide evidence for the involvement of the right posterior cerebellum in comprehension-based language tasks requiring a manual response. Further research is needed to dissociate the influence of task difficulty and timing of the underlying cognitive processes.

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Section: Figure 4 Results From Exploratory Analyses Including Cognitive Load (High Vs Low) In the Rt Analysis Of The Sentence Comprehensisupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Cerebellar tDCS does not modulate language processing performance in healthy individuals

Bongaerts¹,

Schutter²,

Klaus³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The cerebellum and extra-cerebellar structures have extensive connections in motor and non-motor aspects. The cerebellum is not only involved in motor control, but also in cognitive and affective processing ( 54 ), which is based on the anatomical basis that there are multiple parallel circuits in the cerebellum and the cerebral cortex that are widely interconnected ( 55 ). Previous studies have shown that OSA can lead to significant changes in the structure and function of cerebellum ( 56 ), and lack of sleep is also a risk factor for damaging cerebellum function ( 57 ).…”

Section: Discussionmentioning

confidence: 99%

Classification of severe obstructive sleep apnea with cognitive impairment using degree centrality: A machine learning analysis

Liu

Shu

et al. 2022

Front. Neurol.

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In this study, we aimed to use voxel-level degree centrality (DC) features in combination with machine learning methods to distinguish obstructive sleep apnea (OSA) patients with and without mild cognitive impairment (MCI). Ninety-nine OSA patients were recruited for rs-MRI scanning, including 51 MCI patients and 48 participants with no mild cognitive impairment. Based on the Automated Anatomical Labeling (AAL) brain atlas, the DC features of all participants were calculated and extracted. Ten DC features were screened out by deleting variables with high pin-correlation and minimum absolute contraction and performing selective operator lasso regression. Finally, three machine learning methods were used to establish classification models. The support vector machine method had the best classification efficiency (AUC = 0.78), followed by random forest (AUC = 0.71) and logistic regression (AUC = 0.77). These findings demonstrate an effective machine learning approach for differentiating OSA patients with and without MCI and provide potential neuroimaging evidence for cognitive impairment caused by OSA.

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“…Indeed, in L7-Tsc1 mutant mice, inhibition of the medial prefrontal cortex has previously been found to improve social deficits and repetitive behaviors (Kelly et al, 2020). In addition, it has recently been found that transcranial direct current stimulation of the right lateral posterior cerebellum improved performance on a sentence completion task, as well as altering activity in multiple neocortical regions (Rice et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Cerebellar acceleration of learning in an evidence-accumulation task

Kislin

Chen

et al. 2021

Preprint

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Among the impairments manifested by autism spectrum disorder (ASD) are sometimes islands of enhanced function. Although neuronal mechanisms for enhanced functions in ASD are unknown, the cerebellum is a major site of developmental alteration, and early-life perturbation to it leads to ASD with higher likelihood than any other brain region. Here we report that a cerebellum-specific transgenic mouse model of ASD shows faster learning on a sensory evidence-accumulation task. In addition, transgenic mice showed enhanced sensitivity to touch and auditory cues, and prolonged electrophysiological responses in Purkinje-cell complex spikes and associative neocortical regions. These findings were replicated by pairing cues with optogenetic stimulation of Purkinje cells. Computational latent-state analysis of behavior revealed that both groups of mice with cerebellar perturbations exhibited enhanced focus on current rather than past information, consistent with a role for the cerebellum in retaining information in memory. We conclude that cerebellar perturbation can activate neocortex via complex spike activity and reduce reliance on prior experience, consistent with a weak-central-coherence account in which ASD traits arise from enhanced detail-oriented processing. This recasts ASD not so much as a disorder but as a variation that, in particular niches, can be adaptive.

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Differential Behavioral and Neural Effects of Regional Cerebellar tDCS

Cited by 20 publications

References 67 publications

Cerebellar tDCS does not modulate language processing performance in healthy individuals

Cerebellar tDCS does not modulate language processing performance in healthy individuals

Classification of severe obstructive sleep apnea with cognitive impairment using degree centrality: A machine learning analysis

Cerebellar acceleration of learning in an evidence-accumulation task

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