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Xie L, Liu Y, Gao Y, Zhou J. Functional Near-Infrared Spectroscopy in neurodegenerative disease: a review. Front Neurosci 2024; 18:1469903. [PMID: 39416953 PMCID: PMC11479976 DOI: 10.3389/fnins.2024.1469903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 09/18/2024] [Indexed: 10/19/2024] Open
Abstract
In recent years, with the aggravation of aging, the incidence of neurodegenerative diseases is increasing year by year, and the prognosis of patients is poor. Functional Near-Infrared Spectroscopy (fNIRS) is a new and non-invasive neuroimaging technology, which has been gradually deepened in the application research of neurodegenerative diseases by virtue of its unique neurooxygen signal brain functional imaging characteristics in monitoring the disease condition, making treatment plans and evaluating the treatment effect. In this paper, the mechanism of action and technical characteristics of fNIRS are briefly introduced, and the application research of fNIRS in different neurodegenerative diseases is summarized in order to provide new ideas for future related research and clinical application.
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Affiliation(s)
| | - Yong Liu
- The First Affiliated Hospital of Dalian Medical University, Dalian, China
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2
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Raggi A, Lanza G, Ferri R. A Review on P300 in Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:751215. [PMID: 34887786 PMCID: PMC8649722 DOI: 10.3389/fpsyt.2021.751215] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/01/2021] [Indexed: 02/05/2023] Open
Abstract
Neuropsychological studies indicate the presence of cognitive changes in patients with obsessive-compulsive disorder (OCD). Indeed, OCD may be included among the dysfunctions of the frontal lobes and their connections with the limbic system, associative cortex, and basal ganglia. P300 is a positive component of the human event-related potential (ERP); it is associated with processes of encoding, identification, and categorization constituting, as a whole, the superior cortical function of information processing. Thus, P300 explores several areas that are implicated in OCD pathophysiology. Our aim is to review all relevant studies on the P300 component of the human ERP in order to recognize any significant central nervous system (CNS) correlate of cognitive dysfunction in OCD. A PubMed-based literature search resulted in 35 articles assessing P300 in OCD and reporting neurophysiological correlates of response inhibition, cortical hyperarousal, and over-focused attention. A decreased P300 amplitude was reported in both adult and pediatric patients, with a trend toward normalization after pharmacological treatment. Source localization studies disclosed an association between P300 abnormalities and the functioning of brain regions involved in the pathophysiology of OCD. Moreover, studies converge on the evidence of neurophysiological dysfunction in the frontal areas with impairment of the normal inhibitory processes in OCD. At least some of these electrophysiological correlates might reflect the obsessive thoughts and compulsions that characterize this disorder. These findings may also support cognitive-behavioral therapy (CBT) approaches on over-focused attention and inflexibility of compulsive behaviors, which should be associated to pharmacological treatment in these patients.
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Affiliation(s)
- Alberto Raggi
- Unit of Neurology, G.B. Morgagni – L. Pierantoni Hospital, Forlì, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute - Istituto di Ricerca e Cura a Cattarere Scientifico (IRCCS), Troina, Italy
| | - Raffaele Ferri
- Clinical Neurophysiology Research Unit, Oasi Research Institute - Istituto di Ricerca e Cura a Cattarere Scientifico (IRCCS), Troina, Italy
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3
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McMackin R, Dukic S, Costello E, Pinto-Grau M, McManus L, Broderick M, Chipika R, Iyer PM, Heverin M, Bede P, Muthuraman M, Pender N, Hardiman O, Nasseroleslami B. Cognitive network hyperactivation and motor cortex decline correlate with ALS prognosis. Neurobiol Aging 2021; 104:57-70. [PMID: 33964609 DOI: 10.1016/j.neurobiolaging.2021.03.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 02/07/2023]
Abstract
We aimed to quantitatively characterize progressive brain network disruption in Amyotrophic Lateral Sclerosis (ALS) during cognition using the mismatch negativity (MMN), an electrophysiological index of attention switching. We measured the MMN using 128-channel EEG longitudinally (2-5 timepoints) in 60 ALS patients and cross-sectionally in 62 healthy controls. Using dipole fitting and linearly constrained minimum variance beamforming we investigated cortical source activity changes over time. In ALS, the inferior frontal gyri (IFG) show significantly lower baseline activity compared to controls. The right IFG and both superior temporal gyri (STG) become progressively hyperactive longitudinally. By contrast, the left motor and dorsolateral prefrontal cortices are initially hyperactive, declining progressively. Baseline motor hyperactivity correlates with cognitive disinhibition, and lower baseline IFG activities correlate with motor decline rate, while left dorsolateral prefrontal activity predicted cognitive and behavioural impairment. Shorter survival correlates with reduced baseline IFG and STG activity and later STG hyperactivation. Source-resolved EEG facilitates quantitative characterization of symptom-associated and symptom-preceding motor and cognitive-behavioral cortical network decline in ALS.
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Affiliation(s)
- Roisin McMackin
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Stefan Dukic
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Emmet Costello
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Marta Pinto-Grau
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht University, Utrecht, The Netherlands
| | - Lara McManus
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Michael Broderick
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Trinity Centre for Bioengineering, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Rangariroyashe Chipika
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Computational Neuroimaging Group, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Parameswaran M Iyer
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Beaumont Hospital Dublin, Department of Neurology, Dublin 9, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Peter Bede
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Computational Neuroimaging Group, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
| | - Muthuraman Muthuraman
- Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Johannes-Gutenberg-University Hospital, Mainz, Germany
| | - Niall Pender
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht University, Utrecht, The Netherlands; Beaumont Hospital Dublin, Department of Neurology, Dublin 9, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland; Beaumont Hospital Dublin, Department of Neurology, Dublin 9, Ireland.
| | - Bahman Nasseroleslami
- Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland
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4
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Zisk AH, Borgheai SB, McLinden J, Hosni SM, Deligani RJ, Shahriari Y. P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis. Clin Neurophysiol 2020; 132:632-642. [PMID: 33279436 DOI: 10.1016/j.clinph.2020.10.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/19/2020] [Accepted: 10/11/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE People with amyotrophic lateral sclerosis (ALS) can benefit from brain-computer interfaces (BCIs). However, users with ALS may experience significant variations in BCI performance and event-related potential (ERP) characteristics. This study investigated latency jitter and its correlates in ALS. METHODS Electroencephalographic (EEG) responses were recorded from six people with ALS and nine neurotypical controls. ERP amplitudes and latencies were extracted. Classifier-based latency estimation was used to calculate latency jitter. ERP components and latency jitter were compared between groups using Wilcoxon rank-sum tests. Correlations between latency jitter and each of the clinical measures, ERP features, and performance measures were investigated using Spearman and repeated measures correlations. RESULTS Latency jitter was significantly increased in participants with ALS and significantly negatively correlated with BCI performance in both ALS and control participants. ERP amplitudes were significantly attenuated in ALS, and significant correlations between ERP features and latency jitter were observed. There was no significant correlation between latency jitter and clinical measures. CONCLUSIONS Latency jitter is increased in ALS and correlates with both BCI performance and ERP features. SIGNIFICANCE These results highlight the associations of latency jitter with BCI performance and ERP characteristics and could inform future BCI designs for people with ALS.
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Affiliation(s)
- Alyssa Hillary Zisk
- University of Rhode Island, Interdisciplinary Neuroscience Program, Kingston, RI, USA.
| | - Seyyed Bahram Borgheai
- University of Rhode Island, Electrical, Computer, and Biomedical Engineering Department, Kingston, RI, USA
| | - John McLinden
- University of Rhode Island, Electrical, Computer, and Biomedical Engineering Department, Kingston, RI, USA
| | - Sarah M Hosni
- University of Rhode Island, Electrical, Computer, and Biomedical Engineering Department, Kingston, RI, USA
| | - Roohollah Jafari Deligani
- University of Rhode Island, Electrical, Computer, and Biomedical Engineering Department, Kingston, RI, USA
| | - Yalda Shahriari
- University of Rhode Island, Interdisciplinary Neuroscience Program, Kingston, RI, USA; University of Rhode Island, Electrical, Computer, and Biomedical Engineering Department, Kingston, RI, USA.
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5
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de Tommaso M, Betti V, Bocci T, Bolognini N, Di Russo F, Fattapposta F, Ferri R, Invitto S, Koch G, Miniussi C, Piccione F, Ragazzoni A, Sartucci F, Rossi S, Arcara G, Berchicci M, Bianco V, Delussi M, Gentile E, Giovannelli F, Mannarelli D, Marino M, Mussini E, Pauletti C, Pellicciari MC, Pisoni A, Raggi A, Valeriani M. Pearls and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on methodological limits and clinical reliability-part I. Neurol Sci 2020; 41:2711-2735. [PMID: 32388645 DOI: 10.1007/s10072-020-04420-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 04/13/2020] [Indexed: 12/14/2022]
Abstract
Event-related potentials (ERPs) are obtained from the electroencephalogram (EEG) or the magnetoencephalogram (MEG, event-related fields (ERF)), extracting the activity that is time-locked to an event. Despite the potential utility of ERP/ERF in cognitive domain, the clinical standardization of their use is presently undefined for most of procedures. The aim of the present review is to establish limits and reliability of ERP medical application, summarize main methodological issues, and present evidence of clinical application and future improvement. The present section of the review focuses on well-standardized ERP methods, including P300, Contingent Negative Variation (CNV), Mismatch Negativity (MMN), and N400, with a chapter dedicated to laser-evoked potentials (LEPs). One section is dedicated to proactive preparatory brain activity as the Bereitschaftspotential and the prefrontal negativity (BP and pN). The P300 and the MMN potentials have a limited but recognized role in the diagnosis of cognitive impairment and consciousness disorders. LEPs have a well-documented usefulness in the diagnosis of neuropathic pain, with low application in clinical assessment of psychophysiological basis of pain. The other ERP components mentioned here, though largely applied in normal and pathological cases and well standardized, are still confined to the research field. CNV, BP, and pN deserve to be largely tested in movement disorders, just to explain possible functional changes in motor preparation circuits subtending different clinical pictures and responses to treatments.
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Affiliation(s)
- Marina de Tommaso
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Viviana Betti
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy
| | - Tommaso Bocci
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico, Milan, Italy
| | - Francesco Di Russo
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | | | | | - Sara Invitto
- INSPIRE - Laboratory of Cognitive and Psychophysiological Olfactory Processes, University of Salento, Lecce, Italy
| | - Giacomo Koch
- IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy.,Department of Neuroscience, Policlinico Tor Vergata, Rome, Italy
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy.,Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesco Piccione
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Aldo Ragazzoni
- Unit of Neurology and Clinical Neurophysiology, Fondazione PAS, Scandicci, Florence, Italy
| | - Ferdinando Sartucci
- Section of Neurophysiopathology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,CNR Institute of Neuroscience, Pisa, Italy
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience Siena Brain Investigation and Neuromodulation Lab (SI-BIN Lab), University of Siena, Siena, Italy
| | - Giorgio Arcara
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Marika Berchicci
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Valentina Bianco
- IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Marianna Delussi
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Eleonora Gentile
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Fabio Giovannelli
- Section of Psychology - Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy
| | - Daniela Mannarelli
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Marco Marino
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Elena Mussini
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Caterina Pauletti
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | - Alberto Pisoni
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy
| | - Alberto Raggi
- Unit of Neurology, G.B. Morgagni - L. Pierantoni Hospital, Forlì, Italy
| | - Massimiliano Valeriani
- Neurology Ward Unit, Bambino Gesù Hospital, Rome, Italy. .,Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
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Borgheai SB, Deligani RJ, McLinden J, Zisk A, Hosni SI, Abtahi M, Mankodiya K, Shahriari Y. Multimodal exploration of non-motor neural functions in ALS patients using simultaneous EEG-fNIRS recording. J Neural Eng 2019; 16:066036. [PMID: 31530755 DOI: 10.1088/1741-2552/ab456c] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Despite the high prevalence of non-motor impairments reported in patients with amyotrophic lateral sclerosis (ALS), little is known about the functional neural markers underlying such dysfunctions. In this study, a new dual-task multimodal framework relying on simultaneous electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) recordings was developed to characterize integrative non-motor neural functions in people with ALS. APPROACH Simultaneous EEG-fNIRS data were recorded from six subjects with ALS and twelve healthy controls. Through a proposed visuo-mental paradigm, subjects performed a set of visuo-mental arithmetic operations. The data recorded were analyzed with respect to event-related changes both in the time and frequency domains for EEG and de/oxygen-hemoglobin level (HbR/HbO) changes for fNIRS. The correlation of EEG spectral features with fNIRS HbO/HbR features were then evaluated to assess the mechanisms of ALS on the electrical (EEG)-vascular (fNIRS) interrelationships. MAIN RESULTS We observed overall smaller increases in EEG delta and theta power, decreases in beta power, reductions in HbO responses, and distortions both in early and later EEG event-related potentials in ALS subjects compared to healthy controls. While significant correlations between EEG features and HbO responses were observed in healthy controls, these patterns were absent in ALS patients. Distortions in both electrical and hemodynamic responses are speculated to be associated with cognitive deficits in ALS that center primarily on attentional and working memory processing. SIGNIFICANCE Our results highlight the important role of ALS non-motor dysfunctions in electrical and hemodynamic neural dynamics as well as their interrelationships. The insights obtained through this study can enhance our understanding of the underlying non-motor neural processes in ALS and enrich future diagnostic and prognostic techniques.
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Affiliation(s)
- S B Borgheai
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America
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7
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Auditory mismatch detection, distraction, and attentional reorientation (MMN-P3a-RON) in neurological and psychiatric disorders: A review. Int J Psychophysiol 2019; 146:85-100. [PMID: 31654696 DOI: 10.1016/j.ijpsycho.2019.09.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 09/26/2019] [Accepted: 09/27/2019] [Indexed: 12/14/2022]
Abstract
Involuntary attention allows for the detection and processing of novel and potentially relevant stimuli that lie outside of cognitive focus. These processes comprise change detection in sensory contexts, automatic orientation toward this change, and the selection of adaptive responses, including reorientation to the original goal in cases when the detected change is not relevant for task demands. These processes have been studied using the Event-Related Potential (ERP) technique and have been associated to the Mismatch Negativity (MMN), the P3a, and the Reorienting Negativity (RON) electrophysiological components, respectively. This has allowed for the objective evaluation of the impact of different neuropsychiatric pathologies on involuntary attention. Additionally, these ERP have been proposed as alternative measures for the early detection of disease and the tracking of its progression. The objective of this review was to integrate the results reported to date about MMN, P3a, and RON in different neurological and psychiatric disorders. We included experimental studies with clinical populations that reported at least two of these three components in the same experimental paradigm. Overall, involuntary attention seems to reflect the state of cognitive integrity in different pathologies in adults. However, if the main goal for these ERP is to consider them as biomarkers, more research about their pathophysiological specificity in each disorder is needed, as well as improvement in the general experimental conditions under which these components are elicited. Nevertheless, these ERP represent a valuable neurophysiological tool for early detection and follow-up of diverse clinical populations.
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Proudfoot M, Bede P, Turner MR. Imaging Cerebral Activity in Amyotrophic Lateral Sclerosis. Front Neurol 2019; 9:1148. [PMID: 30671016 PMCID: PMC6332509 DOI: 10.3389/fneur.2018.01148] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 12/11/2018] [Indexed: 01/30/2023] Open
Abstract
Advances in neuroimaging, complementing histopathological insights, have established a multi-system involvement of cerebral networks beyond the traditional neuromuscular pathological view of amyotrophic lateral sclerosis (ALS). The development of effective disease-modifying therapy remains a priority and this will be facilitated by improved biomarkers of motor system integrity against which to assess the efficacy of candidate drugs. Functional MRI (FMRI) is an established measure of both cerebral activity and connectivity, but there is an increasing recognition of neuronal oscillations in facilitating long-distance communication across the cortical surface. Such dynamic synchronization vastly expands the connectivity foundations defined by traditional neuronal architecture. This review considers the unique pathogenic insights afforded by the capture of cerebral disease activity in ALS using FMRI and encephalography.
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Affiliation(s)
- Malcolm Proudfoot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Peter Bede
- Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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9
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Kellmeyer P, Grosse-Wentrup M, Schulze-Bonhage A, Ziemann U, Ball T. Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis-implications for brain-computer interfacing. J Neural Eng 2018; 15:041003. [PMID: 29676287 DOI: 10.1088/1741-2552/aabfa5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE For patients with amyotrophic lateral sclerosis (ALS) who are suffering from severe communication or motor problems, brain-computer interfaces (BCIs) can improve the quality of life and patient autonomy. However, current BCI systems are not as widely used as their potential and patient demand would let assume. This underutilization is a result of technological as well as user-based limitations but also of the comparatively poor performance of currently existing BCIs in patients with late-stage ALS, particularly in the locked-in state. APPROACH Here we review a broad range of electrophysiological studies in ALS patients with the aim to identify electrophysiological correlates of ALS-related neurodegeneration in motor and non-motor brain regions in to better understand potential neurophysiological limitations of current BCI systems for ALS patients. To this end we analyze studies in ALS patients that investigated basic sensory evoked potentials, resting-state and task-based paradigms using electroencephalography or electrocorticography for basic research purposes as well as for brain-computer interfacing. Main results and significance. Our review underscores that, similarly to mounting evidence from neuroimaging and neuropathology, electrophysiological measures too indicate neurodegeneration in non-motor areas in ALS. Furthermore, we identify an unexpected gap of basic and advanced electrophysiological studies in late-stage ALS patients, particularly in the locked-in state. We propose a research strategy on how to fill this gap in order to improve the design and performance of future BCI systems for this patient group.
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Affiliation(s)
- Philipp Kellmeyer
- Translational Neurotechnology Lab, Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg im Breisgau, Germany. Cluster of Excellence BrainLinks-BrainTools, University of Freiburg, Freiburg im Breisgau, Germany
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10
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Lange F, Seer C, Kopp B. Cognitive flexibility in neurological disorders: Cognitive components and event-related potentials. Neurosci Biobehav Rev 2017; 83:496-507. [PMID: 28903059 DOI: 10.1016/j.neubiorev.2017.09.011] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 08/29/2017] [Accepted: 09/08/2017] [Indexed: 12/12/2022]
Abstract
Performance deficits on the Wisconsin Card Sorting Test (WCST) in patients with prefrontal cortex (PFC) lesions are traditionally interpreted as evidence for a role of the PFC in cognitive flexibility. However, WCST deficits do not occur exclusively after PFC lesions, but also in various neurological and psychiatric disorders. We propose a multi-component approach that can accommodate this pattern of omnipresent WCST deficits: the WCST is not a pure test of cognitive flexibility, but relies on the effective functioning of multiple dissociable cognitive components. Our review of recent efforts to decompose WCST performance deficits supports this view by revealing that WCST deficits in different neurological disorders can be attributed to alterations in different components. Frontoparietal changes underlying impaired set shifting seem to give rise to WCST deficits in patients with amyotrophic lateral sclerosis, whereas the WCST deficits associated with primary dystonia and Parkinson's disease are rather related to frontostriatal changes underlying deficient rule inference. Clinical implications of these findings and of a multi-component view of WCST performance are discussed.
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Affiliation(s)
- Florian Lange
- Department of Neurology, Hannover Medical School, Hannover, Germany; Behavioral Engineering Research Group, KU Leuven, Leuven, Belgium.
| | - Caroline Seer
- Department of Neurology, Hannover Medical School, Hannover, Germany; Movement Control & Neuroplasticity Research Group, KU Leuven, Leuven, Belgium
| | - Bruno Kopp
- Department of Neurology, Hannover Medical School, Hannover, Germany
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11
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Iyer PM, Mohr K, Broderick M, Gavin B, Burke T, Bede P, Pinto-Grau M, Pender NP, McLaughlin R, Vajda A, Heverin M, Lalor EC, Hardiman O, Nasseroleslami B. Mismatch Negativity as an Indicator of Cognitive Sub-Domain Dysfunction in Amyotrophic Lateral Sclerosis. Front Neurol 2017; 8:395. [PMID: 28861032 PMCID: PMC5559463 DOI: 10.3389/fneur.2017.00395] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 07/25/2017] [Indexed: 12/11/2022] Open
Abstract
Objective To evaluate the utility of mismatch negativity (MMN), a neurophysiologic marker of non-motor cognitive processing, in amyotrophic lateral sclerosis (ALS). Methods 89 patients, stratified into 4 different phenotypic presentations of ALS (67 spinal-onset, 15 bulbar-onset, 7 ALS-FTD, 7 C9ORF72 gene careers), and 19 matched controls underwent 128-channel EEG data recording. Subjects were presented with standard auditory tones interleaved with pitch-deviant tones in three recording blocks. The MMN response was quantified by peak amplitude, peak delay, average amplitude, and average delay, 100–300 ms after stimuli. 64 patients underwent cognitive screening using the Edinburgh Cognitive and Behavioural ALS Screen (ECAS), and 38 participants underwent contemporaneous cognitive assessment using the Stroop Color–Word Interference test (CWIT), which measures attention shift, inhibitory control, and error monitoring. Results The MMN response was observed in frontal and frontocentral regions of patient and control groups. Compared to controls, waveforms were attenuated in early onset, and the average delay was significantly increased in all of the ALS subgroups, with no significant difference between subgroups. Comparing with the control response, the ALS MMN response clustered into four new subgroups characterized by differences in response latency. The increased average delay correlated with changes in the Stroop CWIT; however, it did not show a direct relationship with age, gender, traditional phenotypes, revised ALS Functional Rating Scale, or ECAS scores. Conclusion and significance The MMN response in ALS patients reflects the cognitive dysfunction in specific sub-domains, as the new patient subgroups, identified by cluster analysis, do not segregate with existing clinical or cognitive classifications. Event-related potentials can provide additional quantitative neurophysiologic measures of impairment in specific cognitive sub-domains from which it may be possible to generate novel biologically relevant subgroups of ALS.
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Affiliation(s)
- Parameswaran Mahadeva Iyer
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, Beaumont Hospital, Dublin, Ireland
| | - Kieran Mohr
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Michael Broderick
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Brighid Gavin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Tom Burke
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Psychology, Beaumont Hospital, Dublin, Ireland
| | - Peter Bede
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Marta Pinto-Grau
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Psychology, Beaumont Hospital, Dublin, Ireland
| | - Niall P Pender
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Psychology, Beaumont Hospital, Dublin, Ireland
| | - Russell McLaughlin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Alice Vajda
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Edmund C Lalor
- Trinity College Institute of Neuroscience, Trinity College Dublin, The University of Dublin, Dublin, Ireland.,Trinity Centre for Bioengineering, Trinity College Dublin, The University of Dublin, Dublin, Ireland.,Department of Biomedical Engineering and Department of Neuroscience, University of Rochester, Rochester, NY, United States
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, Beaumont Hospital, Dublin, Ireland.,Trinity College Institute of Neuroscience, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Bahman Nasseroleslami
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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12
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Attenuated error-related potentials in amyotrophic lateral sclerosis with executive dysfunctions. Clin Neurophysiol 2017. [DOI: 10.1016/j.clinph.2017.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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13
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Dopaminergic modulation of performance monitoring in Parkinson's disease: An event-related potential study. Sci Rep 2017; 7:41222. [PMID: 28117420 PMCID: PMC5259704 DOI: 10.1038/srep41222] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/16/2016] [Indexed: 12/13/2022] Open
Abstract
Monitoring one’s actions is essential for goal-directed performance. In the event-related potential (ERP), errors are followed by fronto-centrally distributed negativities. These error(-related) negativity (Ne/ERN) amplitudes are often found to be attenuated in patients with Parkinson’s disease (PD) compared to healthy controls (HC). Although Ne/ERN has been proposed to be related to dopaminergic neuronal activity, previous research did not find evidence for effects of dopaminergic medication on Ne/ERN amplitudes in PD. We examined 13 PD patients “on” and “off” dopaminergic medication. Their response-locked ERP amplitudes (obtained on correct [Nc/CRN] and error [Ne/ERN] trials of a flanker task) were compared to those of 13 HC who were tested twice as well, without receiving dopaminergic medication. While PD patients committed more errors than HC, error rates were not significantly modulated by dopaminergic medication. PD patients showed reduced Ne/ERN amplitudes relative to HC; however, this attenuation of response-locked ERP amplitudes was not specific to errors in this study. PD-related attenuation of response-locked ERP amplitudes was most pronounced when PD patients were on medication. These results suggest overdosing of dopaminergic pathways that are relatively spared in PD, but that are related to the generation of the Ne/ERN, notably pathways targeted on the medial prefrontal cortex.
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14
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Neural correlates of cognitive set shifting in amyotrophic lateral sclerosis. Clin Neurophysiol 2016; 127:3537-3545. [DOI: 10.1016/j.clinph.2016.09.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 08/30/2016] [Accepted: 09/26/2016] [Indexed: 12/11/2022]
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15
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Volpato C, Prats Sedano MA, Silvoni S, Segato N, Cavinato M, Merico A, Piccione F, Palmieri A, Birbaumer N. Selective attention impairment in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2016; 17:236-44. [DOI: 10.3109/21678421.2016.1143514] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Chiara Volpato
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | | | - Stefano Silvoni
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | - Nicoletta Segato
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | - Marianna Cavinato
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | - Antonio Merico
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | - Francesco Piccione
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
| | - Arianna Palmieri
- Department of Philosophy, Sociology, Pedagogy and Applied Psychology, University of Padova, Italy,
- Cognitive Neuroscience Centre, University of Padova, Italy, and
| | - Niels Birbaumer
- Department of Behavioural Neuroscience, IRCCS Fondazione Ospedale San Camillo, Venice, Italy,
- Institute for Medical Psychology and Behavioural Neurobiology, University of Tübingen, Germany
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16
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Geronimo A, Simmons Z, Schiff SJ. Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis. J Neural Eng 2016; 13:026002. [DOI: 10.1088/1741-2560/13/2/026002] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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17
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Sugata H, Hirata M, Kageyama Y, Kishima H, Sawada J, Yoshimine T. Relationship between the spatial pattern of P300 and performance of a P300-based brain-computer interface in amyotrophic lateral sclerosis. BRAIN-COMPUTER INTERFACES 2016. [DOI: 10.1080/2326263x.2015.1132080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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18
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Seer C, Fürkötter S, Vogts MB, Lange F, Abdulla S, Dengler R, Petri S, Kopp B. Executive Dysfunctions and Event-Related Brain Potentials in Patients with Amyotrophic Lateral Sclerosis. Front Aging Neurosci 2015; 7:225. [PMID: 26733861 PMCID: PMC4683183 DOI: 10.3389/fnagi.2015.00225] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/20/2015] [Indexed: 01/12/2023] Open
Abstract
A growing body of evidence implies psychological disturbances in amyotrophic lateral sclerosis (ALS). Specifically, executive dysfunctions occur in up to 50% of ALS patients. The recently shown presence of cytoplasmic aggregates (TDP-43) in ALS patients and in patients with behavioral variants of frontotemporal dementia suggests that these two disease entities form the extremes of a spectrum. The present study aimed at investigating behavioral and electrophysiological indices of conflict processing in patients with ALS. A non-verbal variant of the flanker task demanded two-choice responses to target stimuli that were surrounded by flanker stimuli which either primed the correct response or the alternative response (the latter case representing the conflict situation). Behavioral performance, event-related potentials (ERP), and lateralized readiness potentials (LRP) were analyzed in 21 ALS patients and 20 controls. In addition, relations between these measures and executive dysfunctions were examined. ALS patients performed the flanker task normally, indicating preserved conflict processing. In similar vein, ERP and LRP indices of conflict processing did not differ between groups. However, ALS patients showed enhanced posterior negative ERP waveform deflections, possibly indicating increased modulation of visual processing by frontoparietal networks in ALS. We also found that the presence of executive dysfunctions was associated with more error-prone behavior and enhanced LRP amplitudes in ALS patients, pointing to a prefrontal pathogenesis of executive dysfunctions and to a potential link between prefrontal and motor cortical functional dysregulation in ALS, respectively.
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Affiliation(s)
- Caroline Seer
- Department of Neurology, Hannover Medical School Hannover, Germany
| | | | - Maj-Britt Vogts
- Department of Neurology, Hannover Medical School Hannover, Germany
| | - Florian Lange
- Department of Neurology, Hannover Medical School Hannover, Germany
| | - Susanne Abdulla
- Department of Neurology, Hannover Medical SchoolHannover, Germany; Department of Neurology, Otto-von-Guericke University MagdeburgMagdeburg, Germany; Department of Neurology, German Center for Neurodegenerative DiseasesMagdeburg, Germany
| | - Reinhard Dengler
- Department of Neurology, Hannover Medical School Hannover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School Hannover, Germany
| | - Bruno Kopp
- Department of Neurology, Hannover Medical School Hannover, Germany
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Theme 5 Cognitive Change. Amyotroph Lateral Scler Frontotemporal Degener 2015; 16 Suppl 1:115-23. [DOI: 10.3109/21678421.2015.1098809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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20
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Goldstein LH, Abrahams S. Changes in cognition and behaviour in amyotrophic lateral sclerosis: nature of impairment and implications for assessment. Lancet Neurol 2013; 12:368-80. [DOI: 10.1016/s1474-4422(13)70026-7] [Citation(s) in RCA: 258] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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21
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The effect of age on time dependent EEG-synchronization changes during the performance of mental arithmetic task. Int J Psychophysiol 2012. [DOI: 10.1016/j.ijpsycho.2012.07.169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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22
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Cognitive evoked potentials in narcolepsy: A review of the literature. Neurosci Biobehav Rev 2011; 35:1144-53. [DOI: 10.1016/j.neubiorev.2010.12.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2010] [Revised: 10/26/2010] [Accepted: 12/05/2010] [Indexed: 12/14/2022]
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