Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging

Brain lesions in language-related cortical areas remain a challenge in the clinical routine. In recent years, the resting-state fMRI (RS-fMRI) was shown to be a feasible method for preoperative language assessment. The aim of this study was to examine whether language-related resting-state components, which have been obtained using a data-driven independent-component-based identification algorithm, can be supportive in determining language dominance in the left or right hemisphere. Twenty patients suffering from brain lesions close to supposed language-relevant cortical areas were included. RS-fMRI and task-based (TB-fMRI) were performed for the purpose of preoperative language assessment. TB-fMRI included a verb generation task with an appropriate control condition (a syllable switching task) to decompose language-critical and language-supportive processes. Subsequently, the best fitting ICA component for the resting-state language network (RSLN) referential to general linear models (GLMs) of the TB-fMRI (including models with and without linguistic control conditions) was identified using an algorithm based on the Dice index. Thereby, the RSLNs associated with GLMs using a linguistic control condition led to significantly higher laterality indices than GLM baseline contrasts. LIs derived from GLM contrasts with and without control conditions alone did not differ significantly. In general, the results suggest that determining language dominance in the human brain is feasible both with TB-fMRI and RS-fMRI, and in particular, the combination of both approaches yields a higher specificity in preoperative language assessment. Moreover, we can conclude that the choice of the language mapping paradigm is crucial for the mentioned benefits.

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State-dependent differences in the frequency of TMS-evoked potentials

10.1101/773705 ◽

2019 ◽

Author(s):

Candice T. Stanfield ◽

Martin Wiener

Keyword(s):

Resting State ◽

Right Hemisphere ◽

Human Subjects ◽

Dominant Frequency ◽

Healthy Human ◽

Cortical Areas ◽

State Dependent ◽

Concurrent Use ◽

Cortical Regions ◽

The Right

AbstractPrevious evidence suggests different cortical areas naturally oscillate at distinct frequencies, reflecting tuning properties of each region. The concurrent use of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) has been used to perturb cortical regions, resulting in an observed post-stimulation response that is maximal at the natural frequency of that region. However, little is known about the spatial extent of TMS-induced activation differences in cortical regions when comparing resting state (passive) versus active task performance. Here, we employed TMS-EEG to directly perturb three cortical areas in the right hemisphere while measuring the resultant changes in maximal evoked frequency in healthy human subjects during a resting state (N=12) and during an active sensorimotor task (N=12). Our results revealed that the brain engages a higher dominant frequency mode when actively engaged in a task, such that the frequency evoked during a task is consistently higher across cortical regions, regardless of the region stimulated. These findings suggest that a distinct characteristic of active performance versus resting state is a higher state of natural cortical frequencies.

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State-dependent differences in the frequency of TMS-evoked potentials between resting and active states

10.1101/614826 ◽

2019 ◽

Cited By ~ 1

Author(s):

Candice T. Stanfield ◽

Martin Wiener

Keyword(s):

Resting State ◽

Right Hemisphere ◽

Human Subjects ◽

Dominant Frequency ◽

Healthy Human ◽

Cortical Areas ◽

State Dependent ◽

Concurrent Use ◽

Cortical Regions ◽

The Right

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Preoperative assessment of language dominance through combined resting-state and task-based functional magnetic resonance imaging

Brain and Spine ◽

10.1016/j.bas.2021.100523 ◽

2021 ◽

Vol 1 ◽

pp. 100523

Author(s):

C. Ott ◽

K. Rosengarth ◽

C. Doenitz ◽

J. Hoehne ◽

C. Wendl ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Resting State ◽

Preoperative Assessment ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Language Dominance ◽

And Task

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Differential effects of subcutaneous pulsatile versus oral hydrocortisone replacement therapy on fMRI resting state and task based emotional processing in patients with primary adrenal insufficiency

Endocrine Abstracts ◽

10.1530/endoabs.65.oc2.1 ◽

2019 ◽

Author(s):

Georgina Russell ◽

Konstantinos Kalafatakis ◽

Jamie Thakrar ◽

Elizabeth Hudson ◽

Lina Alim ◽

...

Keyword(s):

Adrenal Insufficiency ◽

Replacement Therapy ◽

Resting State ◽

Emotional Processing ◽

Primary Adrenal Insufficiency ◽

Differential Effects ◽

And Task

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Resting state alpha oscillatory activity is a valid and reliable marker of schizotypy

Scientific Reports ◽

10.1038/s41598-021-89690-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Jelena Trajkovic ◽

Francesco Di Gregorio ◽

Francesca Ferri ◽

Chiara Marzi ◽

Stefano Diciotti ◽

...

Keyword(s):

At Risk ◽

Resting State ◽

Right Hemisphere ◽

Normal Population ◽

Alpha Activity ◽

Oscillatory Activity ◽

Loop Current ◽

Clinical Tool ◽

Reliable Marker ◽

The Right

AbstractSchizophrenia is among the most debilitating neuropsychiatric disorders. However, clear neurophysiological markers that would identify at-risk individuals represent still an unknown. The aim of this study was to investigate possible alterations in the resting alpha oscillatory activity in normal population high on schizotypy trait, a physiological condition known to be severely altered in patients with schizophrenia. Direct comparison of resting-state EEG oscillatory activity between Low and High Schizotypy Group (LSG and HSG) has revealed a clear right hemisphere alteration in alpha activity of the HSG. Specifically, HSG shows a significant slowing down of right hemisphere posterior alpha frequency and an altered distribution of its amplitude, with a tendency towards a reduction in the right hemisphere in comparison to LSG. Furthermore, altered and reduced connectivity in the right fronto-parietal network within the alpha range was found in the HSG. Crucially, a trained pattern classifier based on these indices of alpha activity was able to successfully differentiate HSG from LSG on tested participants further confirming the specific importance of right hemispheric alpha activity and intrahemispheric functional connectivity. By combining alpha activity and connectivity measures with a machine learning predictive model optimized in a nested stratified cross-validation loop, current research offers a promising clinical tool able to identify individuals at-risk of developing psychosis (i.e., high schizotypy individuals).

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The impact of hyperoxia on brain activity: A resting-state and task-evoked electroencephalography (EEG) study

PLoS ONE ◽

10.1371/journal.pone.0176610 ◽

2017 ◽

Vol 12 (5) ◽

pp. e0176610 ◽

Cited By ~ 5

Author(s):

Min Sheng ◽

Peiying Liu ◽

Deng Mao ◽

Yulin Ge ◽

Hanzhang Lu

Keyword(s):

Resting State ◽

Brain Activity ◽

The Impact ◽

And Task

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Is Lateropulsion Really Related with a Specific Lesion of the Brain?

Brain Sciences ◽

10.3390/brainsci11030354 ◽

2021 ◽

Vol 11 (3) ◽

pp. 354

Author(s):

Kyoung Lee ◽

Sang Yoo ◽

Eun Ji ◽

Woo Hwang ◽

Yeun Yoo ◽

...

Keyword(s):

Right Hemisphere ◽

Parietal Lobe ◽

Inferior Frontal Gyrus ◽

Brain Lesions ◽

Vertical Posture ◽

Lesion Volume ◽

Precentral Gyrus ◽

Stroke Patients ◽

The Right ◽

Right Hemisphere Stroke

Lateropulsion (pusher syndrome) is an important barrier to standing and gait after stroke. Although several studies have attempted to elucidate the relationship between brain lesions and lateropulsion, the effects of specific brain lesions on the development of lateropulsion remain unclear. Thus, the present study investigated the effects of stroke lesion location and size on lateropulsion in right hemisphere stroke patients. The present retrospective cross-sectional observational study assessed 50 right hemisphere stroke patients. Lateropulsion was diagnosed and evaluated using the Scale for Contraversive Pushing (SCP). Voxel-based lesion symptom mapping (VLSM) analysis with 3T-MRI was used to identify the culprit lesion for SCP. We also performed VLSM controlling for lesion volume as a nuisance covariate, in a multivariate model that also controlled for other factors contributing to pusher behavior. VLSM, combined with statistical non-parametric mapping (SnPM), identified the specific region with SCP. Lesion size was associated with lateropulsion. The precentral gyrus, postcentral gyrus, inferior frontal gyrus, insula and subgyral parietal lobe of the right hemisphere seemed to be associated with the lateropulsion; however, after adjusting for lesion volume as a nuisance covariate, no lesion areas were associated with the SCP scores. The size of the right hemisphere lesion was the only factor most strongly associated with lateropulsion in patients with stroke. These results may be useful for planning rehabilitation strategies of restoring vertical posture and understanding the pathophysiology of lateropulsion in stroke patients.

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Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI

Scientific Reports ◽

10.1038/s41598-021-91853-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Gregory Simchick ◽

Kelly M. Scheulin ◽

Wenwu Sun ◽

Sydney E. Sneed ◽

Madison M. Fagan ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Functional Connectivity ◽

Resting State ◽

Correlation Coefficients ◽

Brain Network ◽

Network Activity ◽

Anatomical Structures ◽

Healthy Control ◽

And Task

AbstractFunctional magnetic resonance imaging (fMRI) has significant potential to evaluate changes in brain network activity after traumatic brain injury (TBI) and enable early prognosis of potential functional (e.g., motor, cognitive, behavior) deficits. In this study, resting-state and task-based fMRI (rs- and tb-fMRI) were utilized to examine network changes in a pediatric porcine TBI model that has increased predictive potential in the development of novel therapies. rs- and tb-fMRI were performed one day post-TBI in piglets. Activation maps were generated using group independent component analysis (ICA) and sparse dictionary learning (sDL). Activation maps were compared to pig reference functional connectivity atlases and evaluated using Pearson spatial correlation coefficients and mean ratios. Nonparametric permutation analyses were used to determine significantly different activation areas between the TBI and healthy control groups. Significantly lower Pearson values and mean ratios were observed in the visual, executive control, and sensorimotor networks for TBI piglets compared to controls. Significant differences were also observed within several specific individual anatomical structures within each network. In conclusion, both rs- and tb-fMRI demonstrate the ability to detect functional connectivity disruptions in a translational TBI piglet model, and these disruptions can be traced to specific affected anatomical structures.

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Right-Hemisphere Language Dominance in a Case of Left-Hemisphere Arteriovenous Malformation

Journal of Speech and Hearing Disorders ◽

10.1044/jshd.4201.106 ◽

1977 ◽

Vol 42 (1) ◽

pp. 106-112 ◽

Cited By ~ 9

Author(s):

Robert T. Wertz ◽

Bernard Messert ◽

Michael Collins ◽

Jay C. Rosenbek ◽

Chun C. Kao

Keyword(s):

Arteriovenous Malformation ◽

Left Hemisphere ◽

Right Hemisphere ◽

Surgical Removal ◽

Language Dominance ◽

Language Deficit ◽

Left Handed ◽

Motor Areas

This paper reports a case of surgical removal of a left-hemisphere arteriovenous malformation (AVM) in a left-handed adult without subsequent speech or language deficit. Preoperative intracarotid amobarbital testing indicated right-hemisphere language dominance. Our patient demonstrated no language involvement prior to or following surgery. We speculate the congenital nature of a left-hemisphere AVM may dictate right-hemisphere language dominance, thereby explaining the lack of residuals following removal of AVMs in left-hemisphere speech and motor areas.

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