Magnetoencephalography and High-Density Electroencephalography Study of Acoustic Event Related Potentials in Early Stage of Multiple Sclerosis: A Pilot Study on Cognitive Impairment and Fatigue

Paolicelli, Damiano; Manni, Alessia; Iaffaldano, Antonio; Tancredi, Giusy; Ricci, Katia; Gentile, Eleonora; Viterbo, Rosa Gemma; Quitadamo, Silvia Giovanna; Tommaso, Marina de; Trojano, María

doi:10.3390/brainsci11040481

Cited by 14 publications

(12 citation statements)

References 63 publications

(21 reference statements)

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“…We found 38 studies that presented results for a concomitant occurrence of P300 and alpha power (or amplitude). In 17 studies using EEG, results indicated an overlap in cortical regions of P300 and alpha amplitude decrease, as well as a similar time windows of their occurrence (Peng et al, 2012, Chen et al, 2013, Dong et al, 2015, Shou et al, 2015, Tang et al, 2015, Wu et al, 2015, Fabi et al, 2017, López-Caneda et al, 2017, Vilà-Balló et al, 2017, Fabi et al, 2018, Michelini et al, 2018, Román-López et al, 2019, Kao et al, 2020, Yu et al, 2020, Zhang et al, 2020, Nikolin et al, 2021, Paolicelli et al, 2021). Similar observations were made using MEG (Ishii et al, 2009).…”

Section: Introductionmentioning

confidence: 86%

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Studenova

Forster

Engemann

et al. 2023

Preprint

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Evoked responses and ongoing oscillations represent two major electrophysiological phenomena in the human brain yet the link between them remains rather obscure. Here we show how these two types of brain activity can be mechanistically linked within the framework of the baseline-shift mechanism for the generation of evoked responses. We do so for the two most frequently studied EEG signals: the P300-evoked response and alpha oscillations (8-12 Hz). The baseline-shift mechanism states that oscillations may generate evoked responses if oscillations have a non-zero mean and their amplitude is modulated by the stimulus. Therefore, if the alpha amplitude modulation generates P300, the following predictions should hold: 1) the temporal evolution of P300 and alpha amplitude is similar, 2) spatial localisations of the P300 and alpha amplitude modulation overlap, 3) oscillations are non-zero mean with a sign of the mean being congruent to P300 polarity and direction of alpha amplitude change, 4) P300 and alpha amplitude modulation correlate with cognitive scores in a similar fashion. To fully and reliably validate these predictions, we analysed the data set of elderly participants (N=2230, 60-82 years old), using a) resting-state EEG recordings to compute the baseline-shift index (BSI) to quantify the mean of oscillations, b) the event-related data, to extract parameters of P300 and c) alpha rhythm amplitude envelope. The data was analysed both in sensor and source space. We showed that P300 is indeed linked to alpha amplitude modulation according to all four abovementioned predictions: 1) the time courses of P300 and alpha amplitude envelope correlate negatively; 2) both P300 and alpha rhythm spatially localised in the posterior region of the precuneus and posterior cingulate cortex; 3) the sign of the BSI at Pz electrode is predominantly negative, consistent with the positive polarity of P300 and decrease of alpha amplitude; moreover, a negative BSIs of higher magnitude corresponded to higher P300 amplitude; 4) attention, memory, and executive function scores have congruent correlations for P300 and alpha rhythm amplitude. Our results provide an unifying view on the interdependency of evoked responses and neuronal oscillations and suggest that P300, at least partly, is generated by the modulation of alpha oscillations. Therefore, changes in P300 related to different cognitive conditions, age, or neuropathologies should be interpreted by taking into account the spatio-temporal dynamics of neuronal oscillations.

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Section: Introductionmentioning

confidence: 86%

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Studenova

Forster

Engemann

et al. 2023

Preprint

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“…The included studies used a variety of study designs to detect, quantify and examine MS-related fatigue. The 19 articles, shown in Table 1, employed the following study designs: 5 studies case–control studies (Buyukturkoglu et al, 2017; Conte et al, 2016; Gscwind et al, 2016; Russo et al, 2017; Vecchio et al, 2017), 3 cross-sectional studies (Chaves et al, 2019; Newland et al, 2021; Paolicelli et al, 2021), one prospective-observational study (Chalah et al, 2019); one correlational (Russo et al, 2017); one single blind, within-subject design (Fiene et al, 2018), and one cross-over study (Muñoz-Paredes et al, 2022). Seven of the 19 studies utilized a double-blind RCT study design.…”

Section: Resultsmentioning

confidence: 99%

“…We identified 5 EEG studies (Buyukturkoglu et al, 2017; Gschwind et al, 2016; Newland et al, 2021; Paolicelli et al, 2021; Vecchio et al, 2017). Three of these were case–control studies (Buyukturkoglu et al, 2017; Gschwind et al; Vecchio et al) which collected and analyzed EEG data in fatigued MS patients, including functional connectivity at rest (FCR) between hemispheric homologous areas, and performed correlational analysis which revealed a relationship between cognitive fatigue and EEG data.…”

Section: Eeg Studiesmentioning

confidence: 99%

Quantifying Fatigue Using Electrophysiological Techniques and Non-invasive Brain Stimulation in People With Multiple Sclerosis- A Review and Discussion

Hamilton,

Smith,

Winn

et al. 2023

Biological Research For Nursing

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Objective: The purpose of this literature review article is to provide a synthesis of recent research focused on the use of 3 techniques to evaluate MS-related fatigue: electroencephalography [EEG], transcranial direct-current stimulation (tDSC), and transcranial- magnetic stimulation (TMS). Method: We performed a literature search in the Cumulative Index to Nursing and Allied Health Literature (CINAHL, EBSCOhost), MEDLINE (OVID), APA PsycInfo (OVID), Scopus (Elsevier), and Web of Science (Clarivate) databases, limited to 2015 and after. Results: Our review revealed that fatigue in MS patients can be quantified and predicted using electrophysiological techniques. Such techniques, which yield objective data, are historically assessed in relation to subjective data, or perceived fatigue. We identified studies using EEG, TMS, and/or tDCS to study fatigue in people with MS. In total, 220 records were identified with 19 studies meeting inclusion criteria. Quality appraisal revealed that the level of evidence was generally graded “good”. Conclusions: Despite the heterogenous nature of reviewed the studies and selected the varied self-report fatigue measures, our literature synthesis suggests promise for the use of EEG, TMS, and/or tDCS approaches in more accurately assessing fatigue in people with MS. Further research is needed in this arena.

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“…VEP , MEP 14,20,21,25,31,32,[38][39][40][41][42][43][44][45] , AEP 8,16,17,28 , SSEP 10,17,20,21,28,35,36,43,[46][47][48] • Longer VEP latencies correlate with retinal fibres are below norm 7,15,18,23,27,37 • Combination of EPs can predict MS progression after 20 years 11 , falls within one year, EDSS longitudinally 20,21,25,28,3146 , brain stem dysfunction 17 • Combination of EPs show stronger correlation with baseline EDSS than MRI white lesion burden 28 Oddball paradigm 49,63 • The delayed P300 peak reveals the inverse correlation between its amplitude and the mental fatigue level 49 • ERPs during the visual oddball task are correlated with processing speed at baseline in PwMS 63 Resting state 52,…”

Section: Eeg and Epsmentioning

confidence: 99%

Multiple Sclerosis in the Digital Health Age: Challenges and Opportunities - A Systematic Review

Specht,

Jager,

Garbaya

et al. 2023

Preprint

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In recent times, we have unequivocally witnessed a push towards digitising the healthcare system. Topics such as remote patient monitoring (RPM), digital health, and their use to monitor neurological disease progression have gained momentum and popularity. Notwithstanding the considerable advances that have been made in adopting such technologies and using them in the context of mental health or even a few neurodegenerative disease monitoring, they have not been widely used in the context of remote management and treatment of multiple sclerosis MS. In the same vein, given that (MS) is a very individualized disease to manage, there are numerous challenges yet opportunities associated with using digital health technologies for remote MS monitoring. This paper reviews the different research work and clinical attempts performed over the last decade (both home & hospital-based monitoring) en route to using digital health for MS monitoring and management. Similarly, this systematic review discusses the main challenges and barriers to translating that research from clinics into homes and highlights the opportunities in that context. Throughout this extensive review, we shine a light on various monitoring methods that hold the potential to be measured in a home environment, including electroencephalography (EEG) and evoked potentials (e.g., motor evoked potential (MEP), somatosensory evoked potentials (SSEP), and visual evoked potential (VEP)), electromyography (EMG), inertial measurement unit (IMU), and speech analysis. Combining such digital biomarkers could pave the way for developing a more personalised treatment for MS patients, thereby stopping its progression and avoiding silent MS disability. Adopting digital health for remote monitoring and management could also chart a route ahead for a new era of personalised medicine for MS patients and potentially other brain disorder patients.

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Magnetoencephalography and High-Density Electroencephalography Study of Acoustic Event Related Potentials in Early Stage of Multiple Sclerosis: A Pilot Study on Cognitive Impairment and Fatigue

Cited by 14 publications

References 63 publications

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Quantifying Fatigue Using Electrophysiological Techniques and Non-invasive Brain Stimulation in People With Multiple Sclerosis- A Review and Discussion

Multiple Sclerosis in the Digital Health Age: Challenges and Opportunities - A Systematic Review

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