Using Functional Connectivity to Examine the Correlation between Mirror Neuron Network and Autistic Traits in a Typically Developing Sample: A fNIRS Study

Nguyen, Thien; Miguel, Helga O.; Condy, Emma; Park, Soongho; Gandjbakhche, Amir

doi:10.3390/brainsci11030397

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…Altogether, each trial lasted approximately 30 seconds, including 5 seconds of task (i.e. execution, observation), PLOS ONE 20 seconds of rest and 5 seconds of task-rest transition when the vertical curtain was lowered to block the participant's view as the cup was replaced with a pendulum [49]. The experiment took approximately 45 minutes to complete.…”

Section: Plos Onementioning

confidence: 99%

Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

et al. 2021

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Although many studies have examined the location of the action observation network (AON) in human adults, the shared neural correlates of action-observation and action-execution are still unclear partially due to lack of ecologically valid neuroimaging measures. In this study, we aim to demonstrate the feasibility of using functional near infrared spectroscopy (fNIRS) to measure the neural correlates of action-observation and action execution regions during a live task. Thirty adults reached for objects or observed an experimenter reaching for objects while their cerebral hemodynamic responses including oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) were recorded in the sensorimotor and parietal regions. Our results indicated that the parietal regions, including bilateral superior parietal lobule (SPL), bilateral inferior parietal lobule (IPL), right supra-marginal region (SMG) and right angular gyrus (AG) share neural activity during action-observation and action-execution. Our findings confirm the applicability of fNIRS for the study of the AON and lay the foundation for future work with developmental and clinical populations.

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Section: Plos Onementioning

confidence: 99%

Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

et al. 2021

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“…To evaluate within‐network connectivity, we calculated the Pearson's correlation coefficient for all ROI pairs in each subject and then Fisher transformation was applied to these coefficients. 20 For the convenience of description, we made a flip on patients whose stroke locations were on the right side. Therefore, the left side was defined as the ispilesional side and the right side was defined as the contralesional side.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we considered seven regions of interest (ROIs) that are known to be related to motor processing in both hemispheres: M1, PMC/SMA, primary somatosensory cortex (S1), somatosensory association cortex (SAC), dorsolateralprefrontal cortex (DLPFC), frontopolar cortex (FPC), and supramarginal gyrus (SMG). To evaluate within‐network connectivity, we calculated the Pearson's correlation coefficient for all ROI pairs in each subject and then Fisher transformation was applied to these coefficients 20 . For the convenience of description, we made a flip on patients whose stroke locations were on the right side.…”

Section: Methodsmentioning

confidence: 99%

Identifying biomarkers related to motor function in chronic stroke: A fNIRS and TMS study

Cai,

Xu,

Zhang

et al. 2024

CNS Neurosci Ther

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BackgroundUpper limb motor impairment commonly occurs after stroke, impairing quality of life. Brain network reorganization likely differs between subgroups with differing impairment severity. This study explored differences in functional connectivity (FC) and corticospinal tract (CST) integrity between patients with mild/moderate versus severe hemiplegia poststroke to clarify the neural correlates underlying motor deficits.MethodSixty chronic stroke patients with upper limb motor impairment were categorized into mild/moderate and severe groups based on Fugl‐Meyer scores. Resting‐state FC was assessed using functional near‐infrared spectroscopy (fNIRS) to compare connectivity patterns between groups across motor regions. CST integrity was evaluated by inducing motor evoked potentials (MEP) via transcranial magnetic stimulation.ResultsCompared to the mild/moderate group, the severe group exhibited heightened premotor cortex–primary motor cortex (PMC–M1) connectivity (t = 4.56, p < 0.01). Absence of MEP was also more frequent in the severe group (χ2 = 12.31, p = 0.01). Bayesian models effectively distinguished subgroups and identified the PMC–M1 connection as highly contributory (accuracy = 91.30%, area under the receiver operating characteristic curve [AUC] = 0.86).ConclusionDistinct patterns of connectivity and corticospinal integrity exist between stroke subgroups with differing impairments. Strengthened connectivity potentially indicates recruitment of additional motor resources to compensate for damage. These findings elucidate the neural correlates underlying motor deficits poststroke and could guide personalized, network‐based therapies targeting predictive biomarkers to improve rehabilitation outcomes.

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“…However, due to the nature of the simulation used in this study (~2 s each trial), the fNIRS signal was filtered in the range of 0.01–0.5 Hz to retain possible fast brain response to the stimulus. Our previously published work has shown that systemic physiological signals in the range of 0.1–0.5 Hz such as Mayer wave and respiratory rhythm were effectively removed by the application of PCA [ 25 ]. The preprocessed fNIRS signal was split into three datasets (baseline, simple, and emotional GNG).…”

Section: Methodsmentioning

confidence: 99%

Comparison of Functional Connectivity in the Prefrontal Cortex during a Simple and an Emotional Go/No-Go Task in Female versus Male Groups: An fNIRS Study

et al. 2021

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Inhibitory control is a cognitive process to suppress prepotent behavioral responses to stimuli. This study aimed to investigate prefrontal functional connectivity during a behavioral inhibition task and its correlation with the subject’s performance. Additionally, we identified connections that are specific to the Go/No-Go task. The experiment was performed on 42 normal, healthy adults who underwent a vanilla baseline and a simple and emotional Go/No-Go task. Cerebral hemodynamic responses were measured in the prefrontal cortex using a 16-channel near infrared spectroscopy (NIRS) device. Functional connectivity was calculated from NIRS signals and correlated to the Go/No-Go performance. Strong connectivity was found in both the tasks in the right hemisphere, inter-hemispherically, and the left medial prefrontal cortex. Better performance (fewer errors, faster response) is associated with stronger prefrontal connectivity during the simple Go/No-Go in both sexes and the emotional Go/No-Go connectivity in males. However, females express a lower emotional Go/No-Go connectivity while performing better on the task. This study reports a complete prefrontal network during a simple and emotional Go/No-Go and its correlation with the subject’s performance in females and males. The results can be applied to examine behavioral inhibitory control deficits in population with neurodevelopmental disorders.

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Using Functional Connectivity to Examine the Correlation between Mirror Neuron Network and Autistic Traits in a Typically Developing Sample: A fNIRS Study

Cited by 6 publications

References 40 publications

Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

Identifying biomarkers related to motor function in chronic stroke: A fNIRS and TMS study

Comparison of Functional Connectivity in the Prefrontal Cortex during a Simple and an Emotional Go/No-Go Task in Female versus Male Groups: An fNIRS Study

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