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Tatti E, Cinti A, Serbina A, Luciani A, D'Urso G, Cacciola A, Quartarone A, Ghilardi MF. Resting-State EEG Alterations of Practice-Related Spectral Activity and Connectivity Patterns in Depression. Biomedicines 2024; 12:2054. [PMID: 39335567 PMCID: PMC11428598 DOI: 10.3390/biomedicines12092054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 08/13/2024] [Accepted: 09/05/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Depression presents with altered energy regulation and neural plasticity. Previous electroencephalography (EEG) studies showed that practice in learning tasks increases power in beta range (13-30 Hz) in healthy subjects but not in those with impaired plasticity. Here, we ascertain whether depression presents with alterations of spectral activity and connectivity before and after a learning task. METHODS We used publicly available resting-state EEG recordings (64 electrodes) from 122 subjects. Based on Beck Depression Inventory (BDI) scores, they were assigned to either a high BDI (hBDI, BDI > 13, N = 46) or a control (CTL, BDI < 7, N = 75) group. We analyzed spectral activity, theta-beta, and theta-gamma phase-amplitude coupling (PAC) of EEG recorded at rest before and after a learning task. RESULTS At baseline, compared to CTL, hBDI exhibited greater power in beta over fronto-parietal regions and in gamma over the right parieto-occipital area. At post task, power increased in all frequency ranges only in CTL. Theta-beta and theta-gamma PAC were greater in hBDI at baseline but not after the task. CONCLUSIONS The lack of substantial post-task growth of beta power in depressed subjects likely represents power saturation due to greater baseline values. We speculate that inhibitory/excitatory imbalance, altered plasticity mechanisms, and energy dysregulation present in depression may contribute to this phenomenon.
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Affiliation(s)
- Elisa Tatti
- Department of Molecular, Cellular & Biomedical Sciences, School of Medicine, City University of New York, New York, NY 10031, USA
| | - Alessandra Cinti
- Department of Molecular, Cellular & Biomedical Sciences, School of Medicine, City University of New York, New York, NY 10031, USA
- Siena Brain Investigation & Neuromodulation Lab (Si-BIN Lab), Unit of Neurology & Clinical Neurophysiology, Department of Medicine, Surgery & Neuroscience, University of Siena, 53100 Siena, Italy
| | - Anna Serbina
- Department of Molecular, Cellular & Biomedical Sciences, School of Medicine, City University of New York, New York, NY 10031, USA
- Department of Psychology, City College of New York, City University of New York, New York, NY 10031, USA
| | - Adalgisa Luciani
- Department of Molecular, Cellular & Biomedical Sciences, School of Medicine, City University of New York, New York, NY 10031, USA
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Naples, Italy
| | - Giordano D'Urso
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Naples, Italy
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences & Morphological and Functional Imaging, University of Messina, 98125 Messina, Italy
| | | | - Maria Felice Ghilardi
- Department of Molecular, Cellular & Biomedical Sciences, School of Medicine, City University of New York, New York, NY 10031, USA
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Tatti E, Cacciola A, Carrara F, Luciani A, Quartarone A, Ghilardi MF. Movement-related ERS and connectivity in the gamma frequency decrease with practice. Neuroimage 2023; 284:120444. [PMID: 37926216 PMCID: PMC10758293 DOI: 10.1016/j.neuroimage.2023.120444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 11/07/2023] Open
Abstract
Previous work showed that movements are accompanied by modulation of electroencephalographic (EEG) activity in both beta (13-30 Hz) and gamma (>30 Hz) ranges. The amplitude of beta event-related synchronization (ERS) is not linked to movement characteristics, but progressively increases with motor practice, returning to baseline after a period of rest. Conversely, movement-related gamma ERS amplitude is proportional to movement distance and velocity. Here, high-density EEG was recorded in 51 healthy subjects to investigate whether i) three-hour practice in two learning tasks, one with a motor component and one without, affects gamma ERS amplitude and connectivity during a motor reaching test, and ii) 90-minutes of either sleep or quiet rest have an effect on gamma oscillatory activity. We found that, while gamma ERS was appropriately scaled to the target extent at all testing points, its amplitude decreased after practice, independently of the type of interposed learning, and after both quiet wake and nap, with partial correlations with subjective fatigue scores. During movement execution, connectivity patterns within fronto-parieto-occipital electrodes, over areas associated with attentional networks, decreased after both practice and after 90-minute rest. While confirming the prokinetic nature of movement-related gamma ERS, these findings demonstrated the preservation of gamma ERS scaling to movement velocity with practice, despite constant amplitude reduction. We thus speculate that such decreases, differently from the practice-related increases of beta ERS, are related to reduced attention or working memory mechanisms due to fatigue or a switch of strategy toward automatization of movement execution and do not specifically reflect plasticity phenomena.
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Affiliation(s)
- Elisa Tatti
- Department of Molecular, Cellular & Biomedical Sciences, CUNY, School of Medicine, New York, NY 10031, United States.
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy; Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Tsinghua University, Beijing, China; Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Federico Carrara
- Department of Mathematics, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Adalgisa Luciani
- Department of Molecular, Cellular & Biomedical Sciences, CUNY, School of Medicine, New York, NY 10031, United States; Section of Psychiatry, Department of Neuroscience, School of Medicine, University of Naples "Federico II", Naples, Italy
| | - Angelo Quartarone
- IRCCS-Centro Neurolesi Bonino-Pulejo, S.S. 113, Via Palermo, C. da Casazza, 98124 Messina, Italy.
| | - M Felice Ghilardi
- Department of Molecular, Cellular & Biomedical Sciences, CUNY, School of Medicine, New York, NY 10031, United States.
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3
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Peter J, Ferraioli F, Mathew D, George S, Chan C, Alalade T, Salcedo SA, Saed S, Tatti E, Quartarone A, Ghilardi MF. Movement-related beta ERD and ERS abnormalities in neuropsychiatric disorders. Front Neurosci 2022; 16:1045715. [PMID: 36507340 PMCID: PMC9726921 DOI: 10.3389/fnins.2022.1045715] [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: 09/15/2022] [Accepted: 10/31/2022] [Indexed: 11/24/2022] Open
Abstract
Movement-related oscillations in the beta range (from 13 to 30 Hz) have been observed over sensorimotor areas with power decrease (i.e., event-related desynchronization, ERD) during motor planning and execution followed by an increase (i.e., event-related synchronization, ERS) after the movement's end. These phenomena occur during active, passive, imaged, and observed movements. Several electrophysiology studies have used beta ERD and ERS as functional indices of sensorimotor integrity, primarily in diseases affecting the motor system. Recent literature also highlights other characteristics of beta ERD and ERS, implying their role in processes not strictly related to motor function. Here we review studies about movement-related ERD and ERS in diseases characterized by motor dysfunction, including Parkinson's disease, dystonia, stroke, amyotrophic lateral sclerosis, cerebral palsy, and multiple sclerosis. We also review changes of beta ERD and ERS reported in physiological aging, Alzheimer's disease, and schizophrenia, three conditions without overt motor symptoms. The review of these works shows that ERD and ERS abnormalities are present across the spectrum of the examined pathologies as well as development and aging. They further suggest that cognition and movement are tightly related processes that may share common mechanisms regulated by beta modulation. Future studies with a multimodal approach are warranted to understand not only the specific topographical dynamics of movement-related beta modulation but also the general meaning of beta frequency changes occurring in relation to movement and cognitive processes at large. Such an approach will provide the foundation to devise and implement novel therapeutic approaches to neuropsychiatric disorders.
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Affiliation(s)
- Jaime Peter
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Francesca Ferraioli
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Dave Mathew
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Shaina George
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Cameron Chan
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Tomisin Alalade
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Sheilla A. Salcedo
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Shannon Saed
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States
| | - Elisa Tatti
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States,*Correspondence: Elisa Tatti,
| | - Angelo Quartarone
- IRCCS Centro Neurolesi Bonino Pulejo-Piemonte, Messina, Italy,Angelo Quartarone,
| | - M. Felice Ghilardi
- Department of Molecular, Cellular and Biomedical Sciences, CUNY School of Medicine, New York, NY, United States,M. Felice Ghilardi,
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Tatti E, Ferraioli F, Cacciola A, Chan C, Quartarone A, Ghilardi MF. Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration. Front Neurosci 2022; 16:836703. [PMID: 35281507 PMCID: PMC8908429 DOI: 10.3389/fnins.2022.836703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/02/2022] [Indexed: 11/21/2022] Open
Abstract
Modulation of gamma oscillations recorded from the human motor cortex and basal ganglia appears to play a key role in movement execution. However, there are still major questions to be answered about the specific role of cortical gamma activity in both the planning and execution of movement features such as the scaling of peak velocity and movement time. In this study, we characterized movement-related gamma oscillatory dynamics and its relationship with kinematic parameters based on 256-channels EEG recordings in 64 healthy subjects while performing fast and uncorrected reaching movements to targets located at three distances. In keeping with previous studies, we found that movement-related gamma synchronization occurred during movement execution. As a new finding, we showed that gamma synchronization occurred also before movement onset, with planning and execution phases involving different gamma peak frequencies and topographies. Importantly, the amplitude of gamma synchronization in both planning and execution increased with target distance and predicted peak velocity and movement time. Additional analysis of phase coherence revealed a gamma-coordinated long-range network involving occipital, frontal and central regions during movement execution that was positively related to kinematic features. This is the first evidence in humans supporting the notion that gamma synchronization amplitude and phase coherence pattern can reliably predict peak velocity amplitude and movement time. Therefore, these findings suggest that cortical gamma oscillations have a crucial role for the selection, implementation and control of the appropriate kinematic parameters of goal-directed reaching movements.
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Affiliation(s)
- Elisa Tatti
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
- *Correspondence: Elisa Tatti,
| | - Francesca Ferraioli
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
| | - Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Cameron Chan
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Maria Felice Ghilardi
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
- Maria Felice Ghilardi,
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EEG as a marker of brain plasticity in clinical applications. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:91-104. [PMID: 35034760 DOI: 10.1016/b978-0-12-819410-2.00029-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Neural networks are dynamic, and the brain has the capacity to reorganize itself. This capacity is named neuroplasticity and is fundamental for many processes ranging from learning and adaptation to new environments to the response to brain injuries. Measures of brain plasticity involve several techniques, including neuroimaging and neurophysiology. Electroencephalography, often used together with other techniques, is a common tool for prognostic and diagnostic purposes, and cortical reorganization is reflected by EEG measurements. Changes of power bands in different cortical areas occur with fatigue and in response to training stimuli leading to learning processes. Sleep has a fundamental role in brain plasticity, restoring EEG bands alterations and promoting consolidation of learning. Exercise and physical inactivity have been extensively studied as both strongly impact brain plasticity. Indeed, EEG studies showed the importance of the physical activity to promote learning and the effects of inactivity or microgravity on cortical reorganization to cope with absent or altered sensorimotor stimuli. Finally, this chapter will describe some of the EEG changes as markers of neural plasticity in neurologic conditions, focusing on cerebrovascular and neurodegenerative diseases. In conclusion, neuroplasticity is the fundamental mechanism necessary to ensure adaptation to new stimuli and situations, as part of the dynamicity of life.
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Using EEG to study sensorimotor adaptation. Neurosci Biobehav Rev 2022; 134:104520. [PMID: 35016897 DOI: 10.1016/j.neubiorev.2021.104520] [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: 08/10/2021] [Revised: 12/10/2021] [Accepted: 12/30/2021] [Indexed: 11/23/2022]
Abstract
Sensorimotor adaptation, or the capacity to flexibly adapt movements to changes in the body or the environment, is crucial to our ability to move efficiently in a dynamic world. The field of sensorimotor adaptation is replete with rigorous behavioural and computational methods, which support strong conceptual frameworks. An increasing number of studies have combined these methods with electroencephalography (EEG) to unveil insights into the neural mechanisms of adaptation. We review these studies: discussing EEG markers of adaptation in the frequency and the temporal domain, EEG predictors for successful adaptation and how EEG can be used to unmask latent processes resulting from adaptation, such as the modulation of spatial attention. With its high temporal resolution, EEG can be further exploited to deepen our understanding of sensorimotor adaptation.
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Tatti E, Ferraioli F, Peter J, Alalade T, Nelson AB, Ricci S, Quartarone A, Ghilardi MF. Frontal increase of beta modulation during the practice of a motor task is enhanced by visuomotor learning. Sci Rep 2021; 11:17441. [PMID: 34465846 PMCID: PMC8408223 DOI: 10.1038/s41598-021-97004-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 08/19/2021] [Indexed: 12/12/2022] Open
Abstract
Movement is accompanied by beta power changes over frontal and sensorimotor regions: a decrease during movement (event-related desynchronization, ERD), followed by an increase (event-related synchronization, ERS) after the movement end. We previously found that enhancements of beta modulation (from ERD to ERS) during a reaching test (mov) occur over frontal and left sensorimotor regions after practice in a visuo-motor adaptation task (ROT) but not after visual learning practice. Thus, these enhancements may reflect local cumulative effects of motor learning. Here we verified whether they are triggered by the learning component inherent in ROT or simply by motor practice in a reaching task without such learning (MOT). We found that beta modulation during mov increased over frontal and left areas after three-hour practice of either ROT or MOT. However, the frontal increase was greater after ROT, while the increase over the left area was similar after the two tasks. These findings confirm that motor practice leaves local traces in beta power during a subsequent motor test. As they occur after motor tasks with and without learning, these traces likely express the cost of processes necessary for both usage and engagement of long-term potentiation mechanisms necessary for the learning required by ROT.
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Affiliation(s)
- E Tatti
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA.
| | - F Ferraioli
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA
| | - J Peter
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA
| | - T Alalade
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA
| | - A B Nelson
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA
| | - S Ricci
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA.,DIBRIS University of Genova, 16145, Genoa, Italy
| | - A Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125, Messina, Italy
| | - M F Ghilardi
- CUNY School of Medicine, 160 Convent Avenue, Harris Hall Room 008, New York, NY, 10031, USA.
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8
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Ricci S, Tatti E, Nelson AB, Panday P, Chen H, Tononi G, Cirelli C, Ghilardi MF. Extended Visual Sequence Learning Leaves a Local Trace in the Spontaneous EEG. Front Neurosci 2021; 15:707828. [PMID: 34335178 PMCID: PMC8322764 DOI: 10.3389/fnins.2021.707828] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/24/2021] [Indexed: 01/22/2023] Open
Abstract
We have previously demonstrated that, in rested subjects, extensive practice in a motor learning task increased both electroencephalographic (EEG) theta power in the areas involved in learning and improved the error rate in a motor test that shared similarities with the task. A nap normalized both EEG and performance changes. We now ascertain whether extensive visual declarative learning produces results similar to motor learning. Thus, during the morning, we recorded high-density EEG in well rested young healthy subjects that learned the order of different visual sequence task (VSEQ) for three one-hour blocks. Afterward, a group of subjects took a nap and another rested quietly. Between each VSEQ block, we recorded spontaneous EEG (sEEG) at rest and assessed performance in a motor test and a visual working memory test that shares similarities with VSEQ. We found that after the third block, VSEQ induced local theta power increases in the sEEG over a right temporo-parietal area that was engaged during the task. This local theta increase was preceded by increases in alpha and beta power over the same area and was paralleled by performance decline in the visual working memory test. Only after the nap, VSEQ learning rate improved and performance in the visual working memory test was restored, together with partial normalization of the local sEEG changes. These results suggest that intensive learning, like motor learning, produces local theta power increases, possibly reflecting local neuronal fatigue. Sleep may be necessary to resolve neuronal fatigue and its effects on learning and performance.
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Affiliation(s)
- Serena Ricci
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.,Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
| | - Elisa Tatti
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States
| | - Aaron B Nelson
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States
| | - Priya Panday
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States
| | - Henry Chen
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States
| | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Chiara Cirelli
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - M Felice Ghilardi
- Department of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States
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Ghilardi MF, Tatti E, Quartarone A. Beta power and movement-related beta modulation as hallmarks of energy for plasticity induction: Implications for Parkinson's disease. Parkinsonism Relat Disord 2021; 88:136-139. [PMID: 34144879 DOI: 10.1016/j.parkreldis.2021.05.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 04/10/2021] [Accepted: 05/17/2021] [Indexed: 11/29/2022]
Abstract
Extensive work on movement-related beta oscillations (~13-30 Hz) over the sensorimotor areas in both humans and animals has demonstrated that sensorimotor beta power decreases during movement and transiently increases after movement. This beta power modulation has been interpreted as reflecting interactions between sensory and motor cortical areas with attenuation of sensory afferents during movement and their subsequent re-activation for internal models updating. More recent studies in neurologically normal subjects have demonstrated that this movement-related modulation as well as mean beta power at rest increase with practice and that previous motor learning enhances such increases. Conversely, patients with Parkinson's disease (PD) do not show such practice-related increases. Interestingly, a 2-h inactivity period without sleep can restore beta power values to baseline in normal subjects. Based on these results and on those of biochemical and electrophysiological studies in animals, we expand the current interpretation of beta activity and propose that the practice-related increases of beta power over sensorimotor areas are local indices of energy used for engaging plasticity-related activity. This paper provides some preliminary evidence in this respect linking findings of biochemical and electrophysiological studies in both humans and animals. This novel interpretation may explain the high level of beta power at rest, the deficient modulation during movement as well as the decreased skill formation in PD as resulting from deficiency in energy consumption, availability and regulation that are altered in this disease.
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Affiliation(s)
| | | | - Angelo Quartarone
- Department of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.
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