P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations

Aubonnet, Romain; Banea, Ovidiu C.; Sirica, Roberta; Wassermann, Eric M.; Yassine, Sahar; Jacob, Deborah; Magnúsdóttir, Brynja B.; Stefánsson, Sigurjón B.; Jónasson, Viktor Díar; Ívarsson, Eysteinn; Jónasson, Aron Dalin; Hassan, Mahmoud; Gargiulo, Paolo

doi:10.3389/fnins.2020.575538

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…Transcranial magnetic stimulation (TMS) treatments administered along the left frontoparietal axis to restore these disbalances showed that, in most SSD patients, an increase in task-related alpha power (recorded after, as compared to before, the TMS protocol) occurred in response to both rare and frequent stimuli. This degree of spectral increase also displayed a slight association with improvements in positive and negative symptomatology, as assessed via behavioral scales [ 105 ].…”

Section: Schizophrenia Spectrum Disorder (Ssd)mentioning

confidence: 99%

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

et al. 2022

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Alpha oscillations (7–13 Hz) are the dominant rhythm in both the resting and active brain. Accordingly, translational research has provided evidence for the involvement of aberrant alpha activity in the onset of symptomatological features underlying syndromes such as autism, schizophrenia, major depression, and Attention Deficit and Hyperactivity Disorder (ADHD). However, findings on the matter are difficult to reconcile due to the variety of paradigms, analyses, and clinical phenotypes at play, not to mention recent technical and methodological advances in this domain. Herein, we seek to address this issue by reviewing the literature gathered on this topic over the last ten years. For each neuropsychiatric disorder, a dedicated section will be provided, containing a concise account of the current models proposing characteristic alterations of alpha rhythms as a core mechanism to trigger the associated symptomatology, as well as a summary of the most relevant studies and scientific contributions issued throughout the last decade. We conclude with some advice and recommendations that might improve future inquiries within this field.

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Section: Schizophrenia Spectrum Disorder (Ssd)mentioning

confidence: 99%

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

et al. 2022

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Improved Hurst exponent based on genetic algorithm in schizophrenia EEG

Ma,

Luo,

Zhong

et al. 2023

AIP Advances

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Schizophrenia is a serious mental disorder, and event-related potentials can effectively reflect the differences between patients and healthy individuals. However, currently, there is no effective method to analyze the Hurst index of short-term electroencephalogram (EEG) signals. This paper improves the calculation method of the Hurst index based on a multipoint fractional Brownian bridge using a genetic algorithm and verifies its feasibility on simulated signals. Through the event-related potential analysis of EEG signals in schizophrenia patients, it was found that the greatest difference between patients and healthy people was in the frontal lobe, and there were differences in the N100 wave, the P50 wave, and the mismatch negativity (MMN) wave in the frontal lobe under sound and action stimulation, and their Hurst index increased. In conclusion, the study found differences in event-related potentials between the frontal and central regions of schizophrenia patients compared to healthy subjects. This research may aid in the diagnosis of schizophrenia patients in clinical practice.

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Human brain imaging with high‐density electroencephalography: Techniques and applications

Marino,

Mantini

2024

The Journal of Physiology

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Electroencephalography (EEG) is a technique for non‐invasively measuring neuronal activity in the human brain using electrodes placed on the participant's scalp. With the advancement of digital technologies, EEG analysis has evolved over time from the qualitative analysis of amplitude and frequency modulations to a comprehensive analysis of the complex spatiotemporal characteristics of the recorded signals. EEG is now considered a powerful tool for measuring neural processes in the same time frame in which they happen (i.e. the subsecond range). However, it is commonly argued that EEG suffers from low spatial resolution, which makes it difficult to localize the generators of EEG activity accurately and reliably. Today, the availability of high‐density EEG (hdEEG) systems, combined with methods for incorporating information on head anatomy and sophisticated source‐localization algorithms, has transformed EEG into an important neuroimaging tool. hdEEG offers researchers and clinicians a rich and varied range of applications. It can be used not only for investigating neural correlates in motor and cognitive neuroscience experiments, but also for clinical diagnosis, particularly in the detection of epilepsy and the characterization of neural impairments in a wide range of neurological disorders. Notably, the integration of hdEEG systems with other physiological recordings, such as kinematic and/or electromyography data, might be especially beneficial to better understand the neuromuscular mechanisms associated with deconditioning in ageing and neuromotor disorders, by mapping the neurokinematic and neuromuscular connectivity patterns directly in the brain. image

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P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations

Cited by 3 publications

References 47 publications

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

Improved Hurst exponent based on genetic algorithm in schizophrenia EEG

Human brain imaging with high‐density electroencephalography: Techniques and applications

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