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Tang H, Xia Y, Hua L, Dai Z, Wang X, Yao Z, Lu Q. Electrophysiological predictors of early response to antidepressants in major depressive disorder. J Affect Disord 2024; 365:509-517. [PMID: 39187184 DOI: 10.1016/j.jad.2024.08.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 07/16/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Psychomotor retardation (PMR) is a core feature of major depressive disorder (MDD), which is characterized by abnormalities in motor control and cognitive processes. PMR in MDD can predict a poor antidepressant response, suggesting that PMR may serve as a marker of the antidepressant response. However, the neuropathological relationship between treatment outcomes and PMR remains uncertain. Thus, this study examined electrophysiological biomarkers associated with poor antidepressant response in MDD. METHODS A total of 142 subjects were enrolled in this study, including 49 healthy controls (HCs) and 93 MDD patients. All participants performed a simple right-hand visuomotor task during magnetoencephalography (MEG) scanning. Patients who exhibited at least a 50 % reduction in disorder severity at the endpoint (>2 weeks) were considered to be responders. Motor-related beta desynchronization (MRBD) and inter- and intra-hemispheric functional connectivity were measured in the bilateral motor network. RESULTS An increased MRBD and decreased inter- and intra-hemispheric functional connectivity in the motor network during movement were observed in non-responders, relative to responders and HCs. This dysregulation predicted the potential antidepressant response. CONCLUSION Abnormal local activity and functional connectivity in the motor network indicate poor psychomotor function, which might cause insensitivity to antidepressant treatment. This could be regarded as a potential neural mechanism for the prediction of a patient's treatment response.
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Affiliation(s)
- Hao Tang
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yi Xia
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Lingling Hua
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing 210096, China
| | - Xiaoqin Wang
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - ZhiJian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing 210096, China.
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2
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Lu Y, Mao L, Wang P, Wang C, Hartwigsen G, Zhang Y. Aberrant neural oscillations in poststroke aphasia. Psychophysiology 2024; 61:e14655. [PMID: 39031971 DOI: 10.1111/psyp.14655] [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: 11/06/2023] [Revised: 06/21/2024] [Accepted: 07/08/2024] [Indexed: 07/22/2024]
Abstract
Neural oscillations are electrophysiological indicators of synchronous neuronal activity in the brain. Recent work suggests aberrant patterns of neuronal activity in patients with poststroke aphasia. Yet, there is a lack of systematic explorations of neural oscillations in poststroke aphasia. Investigating changes in the dynamics of neuronal activity after stroke may be helpful to identify neural markers of aphasia and language recovery and increase the current understanding of successful language rehabilitation. This review summarizes research on neural oscillations in poststroke aphasia and evaluates their potential as biomarkers for specific linguistic processes. We searched the literature through PubMed, Web of Science, and EBSCO, and selected 31 studies that met the inclusion criteria. Our analyses focused on neural oscillation activity in each frequency band, brain connectivity, and therapy-induced changes during language recovery. Our review highlights potential neurophysiological markers; however, the literature remains confounded, casting doubt on the reliability of these findings. Future research must address these confounds to confirm the robustness of cross-study findings on neural oscillations in poststroke aphasia.
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Affiliation(s)
- Yeyun Lu
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Lin Mao
- Department of Physical Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Rehabilitation, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peng Wang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
- Institute of Psychology, University of Greifswald, Greifswald, Germany
- Institute of Psychology, University of Regensberg, Regensberg, Germany
| | - Cuicui Wang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
- TMS Center, Deqing Hospital of Hangzhou Normal University, Huzhou, Zhejiang, China
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Gesa Hartwigsen
- Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, Germany
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ye Zhang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
- TMS Center, Deqing Hospital of Hangzhou Normal University, Huzhou, Zhejiang, China
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3
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Doval S, López-Sanz D, Bruña R, Cuesta P, Antón-Toro L, Taguas I, Torres-Simón L, Chino B, Maestú F. When Maturation is Not Linear: Brain Oscillatory Activity in the Process of Aging as Measured by Electrophysiology. Brain Topogr 2024; 37:1068-1088. [PMID: 38900389 DOI: 10.1007/s10548-024-01064-0] [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: 11/07/2023] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
Changes in brain oscillatory activity are commonly used as biomarkers both in cognitive neuroscience and in neuropsychiatric conditions. However, little is known about how its profile changes across maturation. Here we use regression models to characterize magnetoencephalography power changes within classical frequency bands in a sample of 792 healthy participants, covering the range 13 to 80 years old. Our findings unveil complex, non-linear power trajectories that defy the traditional linear paradigm, with notable cortical region variations. Interestingly, slow wave activity increases correlate with improved cognitive performance throughout life and larger gray matter volume in the elderly. Conversely, fast wave activity diminishes in adulthood. Elevated low-frequency activity during aging, traditionally seen as compensatory, may also signify neural deterioration. This dual interpretation, highlighted by our study, reveals the intricate dynamics between brain oscillations, cognitive performance, and aging. It advances our understanding of neurodevelopment and aging by emphasizing the regional specificity and complexity of brain rhythm changes, with implications for cognitive and structural integrity.
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Affiliation(s)
- Sandra Doval
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain.
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28223, Spain.
| | - David López-Sanz
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28223, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Radiology, Rehabilitation and Physiotherapy, School of Medicine, Universidad Complutense de Madrid, Madrid, 28040, Spain
| | - Pablo Cuesta
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Radiology, Rehabilitation and Physiotherapy, School of Medicine, Universidad Complutense de Madrid, Madrid, 28040, Spain
| | - Luis Antón-Toro
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Psychology, University Camilo José Cela (UCJC), Madrid, 28692, Spain
| | - Ignacio Taguas
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28223, Spain
| | - Lucía Torres-Simón
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28223, Spain
| | - Brenda Chino
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Achucarro Basque Center for Neuroscience, Leioa, Vicaya, 48940, Spain
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, 28015, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28223, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, 28040, Spain
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4
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Baldini S, Sartori A, Rossi L, Favero A, Pasquin F, Dinoto A, Bratina A, Bosco A, Manganotti P. Fatigue in Multiple Sclerosis: A Resting-State EEG Microstate Study. Brain Topogr 2024; 37:1203-1216. [PMID: 38847997 PMCID: PMC11408556 DOI: 10.1007/s10548-024-01053-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/16/2024] [Indexed: 09/18/2024]
Abstract
Fatigue affects approximately 80% of people with Multiple Sclerosis (PwMS) and can impact several domains of daily life. However, the neural underpinnings of fatigue in MS are still not completely clear. The aim of our study was to investigate the spontaneous large-scale networks functioning associated with fatigue in PwMS using the EEG microstate approach with a spectral decomposition. Forty-three relapsing-remitting MS patients and twenty-four healthy controls (HCs) were recruited. All participants underwent an administration of Modified Fatigue Impact scale (MFIS) and a 15-min resting-state high-density EEG recording. We compared the microstates of healthy subjects, fatigued (F-MS) and non-fatigued (nF-MS) patients with MS; correlations with clinical and behavioral fatigue scores were also analyzed. Microstates analysis showed six templates across groups and frequencies. We found that in the F-MS emerged a significant decrease of microstate F, associated to the salience network, in the broadband and in the beta band. Moreover, the microstate B, associated to the visual network, showed a significant increase in fatigued patients than healthy subjects in broadband and beta bands. The multiple linear regression showed that the high cognitive fatigue was predicted by both an increase and decrease, respectively, in delta band microstate B and beta band microstate F. On the other hand, higher physical fatigue was predicted with lower occurrence microstate F in beta band. The current findings suggest that in MS the higher level of fatigue might be related to a maladaptive functioning of the salience and visual network.
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Affiliation(s)
- Sara Baldini
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy.
| | - Arianna Sartori
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
| | - Lucrezia Rossi
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
| | - Anna Favero
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
| | - Fulvio Pasquin
- Neurology Unit, Hospital of Gorizia, ASUGI, Gorizia, Italy
| | - Alessandro Dinoto
- Department of Neuroscience, Biomedicine and Movement Sciences, Neurology Unit, University of Verona, Verona, Italy
| | - Alessio Bratina
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
| | - Antonio Bosco
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
| | - Paolo Manganotti
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy
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5
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Chang W, Zhao X, Wang L, Zhou X. Causal role of frontocentral beta oscillation in comprehending linguistic communicative functions. Neuroimage 2024; 300:120853. [PMID: 39270764 DOI: 10.1016/j.neuroimage.2024.120853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 08/28/2024] [Accepted: 09/11/2024] [Indexed: 09/15/2024] Open
Abstract
Linguistic communication is often considered as an action serving the function of conveying the speaker's goal to the addressee. Although neuroimaging studies have suggested a role of the motor system in comprehending communicative functions, the underlying mechanism is yet to be specified. Here, by two EEG experiments and a tACS experiment, we demonstrate that the frontocentral beta oscillation, which represents action states, plays a crucial part in linguistic communication understanding. Participants read scripts involving two interlocutors and rated the interlocutors' attitudes. Each script included a critical sentence said by the speaker expressing a context-dependent function of either promise, request, or reply to the addressee's query. These functions were behaviorally discriminated, with higher addressee's will rating for the promise than for the reply and higher speaker's will rating for the request than for the reply. EEG multivariate analyses showed that different communicative functions were represented by different patterns of the frontocentral beta activity but not by patterns of alpha activity. Further tACS results showed that, relative to alpha tACS and sham stimulation, beta tACS improved the predictability of communicative functions of request or reply, as measured by the speaker's will rating. These results convergently suggest a causal role of the frontocentral beta activities in comprehending linguistic communications.
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Affiliation(s)
- Wenshuo Chang
- Institute of Linguistics, Shanghai International Studies University, Shanghai 201620, China; Beijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China
| | - Xiaoxi Zhao
- Institute of Linguistics, Shanghai International Studies University, Shanghai 201620, China
| | - Lihui Wang
- School of Psychology, Shanghai Jiao Tong University, Shanghai 20030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 200125, China.
| | - Xiaolin Zhou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201620, China.
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6
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Cordoba-Silva J, Maya R, Valderrama M, Giraldo LF, Betancourt-Zapata W, Salgado-Vasco A, Marín-Sánchez J, Gómez-Ortega V, Ettenberger M. Music therapy with adult burn patients in the intensive care unit: short-term analysis of electrophysiological signals during music-assisted relaxation. Sci Rep 2024; 14:23592. [PMID: 39384859 PMCID: PMC11464633 DOI: 10.1038/s41598-024-73211-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 09/16/2024] [Indexed: 10/11/2024] Open
Abstract
Burn patients often face elevated pain, anxiety, and depression levels. Music therapy adds to integrative care in burn patients, but research including electrophysiological measures is limited. This study reports electrophysiological signals analysis during Music-Assisted Relaxation (MAR) with burn patients in the Intensive Care Unit (ICU). This study is a sub-analysis of an ongoing trial of music therapy with burn patients in the ICU. Electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) were recorded during MAR with nine burn patients. Additionally, background pain levels (VAS) and anxiety and depression levels (HADS) were assessed. EEG oscillation power showed statistically significant changes in the delta (p < 0.05), theta (p = 0.01), beta (p < 0.05), and alpha (p = 0.05) bands during music therapy. Heart rate variability tachograms high-frequencies increased (p = 0.014), and low-frequencies decreased (p = 0.046). Facial EMG mean frequency decreased (p = 0.01). VAS and HADS scores decreased - 0.76 (p = 0.4) and - 3.375 points (p = 0.37) respectively. Our results indicate parasympathetic system activity, attention shifts, reduced muscle tone, and a relaxed state of mind during MAR. This hints at potential mechanisms of music therapy but needs to be confirmed in larger studies. Electrophysiological changes during music therapy highlight its clinical relevance as a complementary treatment for ICU burn patients.Trial registration: Clinicaltrials.gov (NCT04571255). Registered September 24th, 2020. https//classic.clinicaltrials.gov/ct2/show/NCT04571255.
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Affiliation(s)
- Jose Cordoba-Silva
- Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia
| | - Rafael Maya
- Department of Social Management, Music Therapy Service University Hospital Fundación Santa Fe de Bogotá, Bogotá, Colombia
- SONO - Centro de Musicoterapia, Bogotá, Colombia
| | - Mario Valderrama
- Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia
| | - Luis Felipe Giraldo
- Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia
| | | | - Andrés Salgado-Vasco
- Department of Social Management, Music Therapy Service University Hospital Fundación Santa Fe de Bogotá, Bogotá, Colombia
- SONO - Centro de Musicoterapia, Bogotá, Colombia
| | | | | | - Mark Ettenberger
- Department of Social Management, Music Therapy Service University Hospital Fundación Santa Fe de Bogotá, Bogotá, Colombia.
- SONO - Centro de Musicoterapia, Bogotá, Colombia.
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7
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Gundlach C, Müller MM. Increased visual alpha-band activity during self-paced finger tapping does not affect early visual stimulus processing. Psychophysiology 2024:e14707. [PMID: 39380314 DOI: 10.1111/psyp.14707] [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: 05/07/2024] [Revised: 08/13/2024] [Accepted: 09/26/2024] [Indexed: 10/10/2024]
Abstract
Alpha-band activity is thought to be involved in orchestrating neural processing within and across brain regions relevant to various functions such as perception, cognition, and motor activity. Across different studies, attenuated alpha-band activity has been linked to increased neural excitability. Yet, there have been conflicting results concerning the consequences of alpha-band modulations for early sensory processing. We here examined whether movement-related alterations in visual alpha-band activity affected the early sensory processing of visual stimuli. For this purpose, in an EEG experiment, participants were engaged in a voluntary finger-tapping task while passively viewing flickering dots. We found extensive and expected movement-related amplitude modulations of motor alpha- and beta-band activity with event-related-desynchronization (ERD) before and during, and event-related-synchronization (ERS) after single voluntary finger taps. Crucially, while a visual alpha-band ERS accompanied the motor alpha-ERD before and during each finger tap, flicker-evoked Steady-State-Visually-Evoked-Potentials (SSVEPs), as a marker of early visual sensory gain, were not modulated in amplitude. As early sensory stimulus processing was unaffected by amplitude-modulated visual alpha-band activity, this argues against the idea that alpha-band activity represents a mechanism by which early sensory gain modulation is implemented. The distinct neural dynamics of visual alpha-band activity and early sensory processing may point to distinct and multiplexed neural selection processes in visual processing.
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Affiliation(s)
- C Gundlach
- Wilhelm Wundt Institute for Psychology, Experimental Psychology and Methods, Universität Leipzig, Leipzig, Germany
| | - M M Müller
- Wilhelm Wundt Institute for Psychology, Experimental Psychology and Methods, Universität Leipzig, Leipzig, Germany
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8
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Yu H, Cao W, Fang T, Jin J, Pei G. EEG β oscillations in aberrant data perception under cognitive load modulation. Sci Rep 2024; 14:22995. [PMID: 39362975 PMCID: PMC11450174 DOI: 10.1038/s41598-024-74381-w] [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: 05/13/2024] [Accepted: 09/25/2024] [Indexed: 10/05/2024] Open
Abstract
Data-driven decision making (DDDM) is becoming an indispensable component of work across various fields, and the perception of aberrant data (PAD) has emerged as an essential skill. Nonetheless, the neural processing mechanisms underpinning PAD remain incompletely elucidated. Direct evidence linking neural oscillations to PAD is currently lacking, and the impact of cognitive load remains ambiguous. We address this issue using EEG time-frequency analysis. Data were collected from 21 healthy participants. The experiment employed a 2 (low vs. high cognitive load) × 2 [PAD+ (aberrant data accurately identified as aberrant) vs. PAD- (non-aberrant data correctly recognized as normal)] within-subject laboratory design. Results indicate that upper β band oscillations (26-30 Hz) were significantly enhanced in the PAD + condition compared to PAD-, with consistent activity observed in the frontal (p < 0.001, [Formula: see text] = 0.41) and parietal lobes (p = 0.028, [Formula: see text] = 0.22) within the 300-350 ms time window. Additionally, as cognitive load increased, the time window of β oscillations for distinguishing PAD+ from PAD- shifted earlier. This study enriches our understanding of the PAD neural basis by exploring the distribution of neural oscillation frequencies, decision-making neural circuits, and the windowing effect induced by cognitive load. These findings have significant implications for elucidating the pathological mechanisms of neurodegenerative disorders, as well as in the initial screening, intervention, and treatment of diseases.
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Affiliation(s)
- Haihong Yu
- Maritime School, Ningbo University, Ningbo, China
- School of Economics and Management, Ningbo University of Technology, Ningbo, China
| | - Wei Cao
- Maritime School, Ningbo University, Ningbo, China
| | - Tie Fang
- Maritime School, Ningbo University, Ningbo, China
| | - Jia Jin
- Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, 550# Dalian West Road, Shanghai, 200083, China.
| | - Guanxiong Pei
- Zhejiang Laboratory of Philosophy and Social Sciences - Laboratory of Intelligent Society and Governance, Zhejiang Lab, 1818# Wenyixi Road, Hangzhou, 311121, China.
- Development Strategy and Cooperation Center, Zhejiang Lab, Hangzhou, China.
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9
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Köhler RM, Binns TS, Merk T, Zhu G, Yin Z, Zhao B, Chikermane M, Vanhoecke J, Busch JL, Habets JGV, Faust K, Schneider GH, Cavallo A, Haufe S, Zhang J, Kühn AA, Haynes JD, Neumann WJ. Dopamine and deep brain stimulation accelerate the neural dynamics of volitional action in Parkinson's disease. Brain 2024; 147:3358-3369. [PMID: 38954651 PMCID: PMC11449126 DOI: 10.1093/brain/awae219] [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: 01/29/2024] [Revised: 05/16/2024] [Accepted: 06/13/2024] [Indexed: 07/04/2024] Open
Abstract
The ability to initiate volitional action is fundamental to human behaviour. Loss of dopaminergic neurons in Parkinson's disease is associated with impaired action initiation, also termed akinesia. Both dopamine and subthalamic deep brain stimulation (DBS) can alleviate akinesia, but the underlying mechanisms are unknown. An important question is whether dopamine and DBS facilitate de novo build-up of neural dynamics for motor execution or accelerate existing cortical movement initiation signals through shared modulatory circuit effects. Answering these questions can provide the foundation for new closed-loop neurotherapies with adaptive DBS, but the objectification of neural processing delays prior to performance of volitional action remains a significant challenge. To overcome this challenge, we studied readiness potentials and trained brain signal decoders on invasive neurophysiology signals in 25 DBS patients (12 female) with Parkinson's disease during performance of self-initiated movements. Combined sensorimotor cortex electrocorticography and subthalamic local field potential recordings were performed OFF therapy (n = 22), ON dopaminergic medication (n = 18) and on subthalamic deep brain stimulation (n = 8). This allowed us to compare their therapeutic effects on neural latencies between the earliest cortical representation of movement intention as decoded by linear discriminant analysis classifiers and onset of muscle activation recorded with electromyography. In the hypodopaminergic OFF state, we observed long latencies between motor intention and motor execution for readiness potentials and machine learning classifications. Both, dopamine and DBS significantly shortened these latencies, hinting towards a shared therapeutic mechanism for alleviation of akinesia. To investigate this further, we analysed directional cortico-subthalamic oscillatory communication with multivariate granger causality. Strikingly, we found that both therapies independently shifted cortico-subthalamic oscillatory information flow from antikinetic beta (13-35 Hz) to prokinetic theta (4-10 Hz) rhythms, which was correlated with latencies in motor execution. Our study reveals a shared brain network modulation pattern of dopamine and DBS that may underlie the acceleration of neural dynamics for augmentation of movement initiation in Parkinson's disease. Instead of producing or increasing preparatory brain signals, both therapies modulate oscillatory communication. These insights provide a link between the pathophysiology of akinesia and its' therapeutic alleviation with oscillatory network changes in other non-motor and motor domains, e.g. related to hyperkinesia or effort and reward perception. In the future, our study may inspire the development of clinical brain computer interfaces based on brain signal decoders to provide temporally precise support for action initiation in patients with brain disorders.
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Affiliation(s)
- Richard M Köhler
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Thomas S Binns
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience, Berlin 10115, Germany
| | - Timon Merk
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Meera Chikermane
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Jojo Vanhoecke
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Johannes L Busch
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Jeroen G V Habets
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Katharina Faust
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Gerd-Helge Schneider
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Alessia Cavallo
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Stefan Haufe
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience, Berlin 10115, Germany
- Research Group for Uncertainty, Inverse Modeling and Machine Learning, Technische Universität Berlin, Berlin 10623, Germany
- Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Berlin 10587, Germany
- Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Berlin 10117, Germany
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience, Berlin 10115, Germany
- NeuroCure Clinical Research Centre, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10115, Germany
| | - John-Dylan Haynes
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience, Berlin 10115, Germany
- Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Berlin 10587, Germany
- Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Berlin 10117, Germany
- NeuroCure Clinical Research Centre, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10115, Germany
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience, Berlin 10115, Germany
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10
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Khan AU, Irwin Z, Mahavadi A, Roller A, Goodman AM, Guthrie BL, Visscher K, Knight RT, Walker HC, Bentley JN. Low-Frequency Oscillations in Mid-rostral Dorsolateral Prefrontal Cortex Support Response Inhibition. J Neurosci 2024; 44:e0122242024. [PMID: 39197939 PMCID: PMC11450526 DOI: 10.1523/jneurosci.0122-24.2024] [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: 01/17/2024] [Revised: 07/06/2024] [Accepted: 08/21/2024] [Indexed: 09/01/2024] Open
Abstract
Executive control of movement enables inhibiting impulsive responses critical for successful navigation of the environment. Circuits mediating stop commands involve prefrontal and basal ganglia structures with fMRI evidence demonstrating increased activity during response inhibition in the dorsolateral prefrontal cortex (dlPFC)-often ascribed to maintaining task attentional demands. Using direct intraoperative cortical recordings in male and female human subjects, we investigated oscillatory dynamics along the rostral-caudal axis of dlPFC during a modified Go/No-go task, probing components of both proactive and reactive motor control. We assessed whether cognitive control is topographically organized along this axis and observed that low-frequency power increased prominently in mid-rostral dlPFC when inhibiting and delaying responses. These findings provide evidence for a key role for mid-rostral dlPFC low-frequency oscillations in sculpting motor control.
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Affiliation(s)
- Anas U Khan
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Zachary Irwin
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Anil Mahavadi
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Anna Roller
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Adam M Goodman
- Neurology, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Barton L Guthrie
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
| | - Kristina Visscher
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama 35294
| | - Robert T Knight
- Department of Psychology and the Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Harrison C Walker
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
- Neurology, University of Alabama at Birmingham, Birmingham, Alabama 35233
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, Alabama 35294
| | - J Nicole Bentley
- Departments of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama 35233
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, Alabama 35294
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11
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Machado M, Fonseca R, Zanchetta G, Amoroso C, Vasconcelos A, Costa É, Nicoliche E, Gongora M, Orsini M, Vicente R, Teixeira S, Budde H, Cagy M, Velasques B, Ribeiro P. Absolute beta power in exercisers and nonexercisers in preparation for the oddball task. ARQUIVOS DE NEURO-PSIQUIATRIA 2024; 82:1-8. [PMID: 39357852 DOI: 10.1055/s-0044-1791518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2024]
Abstract
BACKGROUND High levels of physical conditioning are associated with improvements in cognitive performance. In this sense, electroencephalographic (ECG) correlates are used to investigate the enhancing role of physical exercise on executive functions. Oscillations in the β frequency range are proposed to be evident during sensorimotor activity. OBJECTIVE To investigate the ECG changes influenced by aerobic and resistance exercises performed in an attention task by analyzing the differences in absolute β power in the prefrontal and frontal regions before, during, and after the oddball paradigm in practitioners and nonpractitioners of physical exercise. METHODS There were 15 physical activity practitioners (aged 27 ± 4.71) and 15 nonpractitioners (age 28 ± 1.50) recruited. A two-way analysis of variance (ANOVA) was implemented to observe the main effect and the interaction between groups and moments (rest 1, pre-stimulus, and rest 2). RESULTS An interaction between group and moment factors was observed for Fp1 (p < 0.001); Fp2 (p = 0.001); F7 (p < 0.001); F8 (p < 0.001); F3 (p < 0.001); Fz (p < 0.001); and F4 (p < 0.001). Electrophysiological findings clarified exercisers' specificity and neural efficiency in each prefrontal and frontal subarea. CONCLUSION Our findings lend support to the current understanding of the cognitive processes underlying physical exercise and provide new evidence on the relationship between exercise and cortical activity.
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Affiliation(s)
- Marcos Machado
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Renato Fonseca
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Giovanna Zanchetta
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Carlos Amoroso
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Alexandre Vasconcelos
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Élida Costa
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Eduardo Nicoliche
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Mariana Gongora
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Marco Orsini
- Universidade Federal Fluminense, Hospital Universitário Antônio Pedro, Niterói RJ, Brazil
| | - Renan Vicente
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Silmar Teixeira
- Universidade Federal do Piauí, Departamento de Fisioterapia, Teresina PI, Brazil
| | - Henning Budde
- Medical School Hamburg, Faculty of Human Sciences, Hamburg, Germany
- Reykjavik University, Department of Sport Science, Reykjavik, Iceland
| | - Mauricio Cagy
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Departamento de Engenharia Biomédica, Rio de Janeiro RJ, Brazil
| | - Bruna Velasques
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
| | - Pedro Ribeiro
- Universidade Federal do Rio de Janeiro, Escola de Educação Física e Desportos, Rio de Janeiro RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Psiquiatria, Rio de Janeiro RJ, Brazil
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12
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Vandewouw MM, Sato J, Safar K, Rhodes N, Taylor MJ. The development of aperiodic and periodic resting-state power between early childhood and adulthood: New insights from optically pumped magnetometers. Dev Cogn Neurosci 2024; 69:101433. [PMID: 39126820 PMCID: PMC11350249 DOI: 10.1016/j.dcn.2024.101433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 07/04/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024] Open
Abstract
Neurophysiological signals, comprised of both periodic (e.g., oscillatory) and aperiodic (e.g., non-oscillatory) activity, undergo complex developmental changes between childhood and adulthood. With much of the existing literature primarily focused on the periodic features of brain function, our understanding of aperiodic signals is still in its infancy. Here, we are the first to examine age-related changes in periodic (peak frequency and power) and aperiodic (slope and offset) activity using optically pumped magnetometers (OPMs), a new, wearable magnetoencephalography (MEG) technology that is particularly well-suited for studying development. We examined age-related changes in these spectral features in a sample (N=65) of toddlers (1-3 years), children (4-5 years), young adults (20-26 years), and adults (27-38 years). Consistent with the extant literature, we found significant age-related decreases in the aperiodic slope and offset, and changes in peak frequency and power that were frequency-specific; we are the first to show that the effect sizes of these changes also varied across brain regions. This work not only adds to the growing body of work highlighting the advantages of using OPMs, especially for studying development, but also contributes novel information regarding the variation of neurophysiological changes with age across the brain.
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Affiliation(s)
- Marlee M Vandewouw
- Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, Toronto, Canada; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Canada; Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
| | - Julie Sato
- Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, Toronto, Canada; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Kristina Safar
- Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, Toronto, Canada; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Natalie Rhodes
- Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, Toronto, Canada; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
| | - Margot J Taylor
- Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, Toronto, Canada; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Canada; Department of Medical Imaging, University of Toronto, Toronto, Canada; Department of Psychology, University of Toronto, Toronto, Canada
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13
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Geiger M, Hurewitz SR, Pawlowski K, Baumer NT, Wilkinson CL. Alterations in aperiodic and periodic EEG activity in young children with Down syndrome. Neurobiol Dis 2024; 200:106643. [PMID: 39173846 PMCID: PMC11452906 DOI: 10.1016/j.nbd.2024.106643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 07/18/2024] [Accepted: 08/18/2024] [Indexed: 08/24/2024] Open
Abstract
Down syndrome (DS) is the most common cause of intellectual disability, yet little is known about the neurobiological pathways leading to cognitive impairments. Electroencephalographic (EEG) measures are commonly used to study neurodevelopmental disorders, but few studies have focused on young children with DS. Here we assess resting state EEG data collected from toddlers/preschoolers with DS (n = 29, age 13-48 months old) and compare their aperiodic and periodic EEG features with both age-matched (n = 29) and developmental-matched (n = 58) comparison groups. DS participants exhibited significantly reduced aperiodic slope, increased periodic theta power, and decreased alpha peak amplitude. A majority of DS participants displayed a prominent peak in the theta range, whereas a theta peak was not present in age-matched participants. Overall, similar findings were also observed when comparing DS and developmental-matched groups, suggesting that EEG differences are not explained by delayed cognitive ability.
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Affiliation(s)
- McKena Geiger
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
| | - Sophie R Hurewitz
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
| | - Katherine Pawlowski
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
| | - Nicole T Baumer
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Carol L Wilkinson
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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14
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Freitas L, Amaral A, Conceição R, Barbosa G, Hamoy MK, Barbosa A, Paz C, Santos M, Hamoy A, Paz A, Favacho-Lopes D, Mello V, Hamoy M. Potentiation of the depressant effect of alcohol by flunitrazepam in rats: an electrocorticographic, respiratory and electrocardiographic study. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:7599-7613. [PMID: 38676788 DOI: 10.1007/s00210-024-03111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 04/18/2024] [Indexed: 04/29/2024]
Abstract
Alcohol, a widely commercialized psychotropic drug, and the benzodiazepine Flunitrazepam, an anxiolytic widely prescribed for patients with anxiety and insomnia problems, are well known drugs and both act on the central nervous system. The misuse and the association of these two drugs are public health concerns in several countries and could cause momentary, long-lasting and even lethal neurophysiological problems due to the potentiation of their adverse effects in synergy. The present study observed the result of the association of these drugs on electrophysiological responses in the brain, heart, and respiratory rate in Wistar rats. 8 experimental groups were determined: control, one alcohol group (20% at a dose of 1 ml/100 g VO), three Flunitrazepam groups (doses 0.1; 0.2 and 0.3 mg/kg) and three alcohol-Flunitrazepam groups (20% at a dose of 1 ml/100 g VO of alcohol, combined with 0.1; 0.2 and 0.3 mg/kg of Flunitrazepam, respectively). The results showed that there was a more pronounced reduction in alpha and theta wave power in the alcohol-Flunitrazepam groups, a decrease in the power of beta oscillations and greater sedation. There was a progressive decrease in respiratory rate linked to the increase of Flunitrazepam dose in the alcohol-Flunitrazepam associated administration. It was observed alteration in heart rate and Q-T interval in high doses of Flunitrazepam. Therefore, we conclude that the association alcohol-Flunitrazepam presented deepening of depressant synergistic effects according to the increase in the dose of the benzodiazepine, and this could cause alterations in low frequency brain oscillations, breathing, and hemodynamics of the patient.
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Affiliation(s)
- Luiz Freitas
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil.
| | - Anthony Amaral
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Raína Conceição
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Gabriela Barbosa
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Maria Klara Hamoy
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Anara Barbosa
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Clarissa Paz
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Murilo Santos
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Akira Hamoy
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Allane Paz
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Dielly Favacho-Lopes
- Laboratory of Experimental Neuropathology, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Vanessa Mello
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
| | - Moisés Hamoy
- Laboratory of Pharmacology and Toxicology of Natural Products, Biological Science Institute, Federal University of Pará, Belém, Brazil
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15
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Ettenberger M, Casanova-Libreros R, Chávez-Chávez J, Cordoba-Silva JG, Betancourt-Zapata W, Maya R, Fandiño-Vergara LA, Valderrama M, Silva-Fajardo I, Hernández-Zambrano SM. Effect of music therapy on short-term psychological and physiological outcomes in mechanically ventilated patients: A randomized clinical pilot study. JOURNAL OF INTENSIVE MEDICINE 2024; 4:515-525. [PMID: 39310061 PMCID: PMC11411563 DOI: 10.1016/j.jointm.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 09/25/2024]
Abstract
Background Elevated anxiety levels are common in patients on mechanical ventilation (MV) and may challenge recovery. Research suggests music-based interventions may reduce anxiety during MV. However, studies investigating specific music therapy techniques, addressing psychological and physiological well-being in patients on MV, are scarce. Methods This three-arm randomized clinical pilot study was conducted with MV patients admitted to the intensive care unit (ICU) of Hospital San José in Bogotá, Colombia between March 7, 2022, and July 11, 2022. Patients were divided into three groups: intervention group 1 (IG1), music-assisted relaxation; intervention group 2 (IG2), patient-preferred therapeutic music listening; and control group (CG), standard care. The main outcome measure was the 6-item State-Anxiety Inventory. Secondary outcomes were: pain (measured with a visual analog scale), resilience (measured with the Brief Resilience Scale), agitation/sedation (measured with the Richmond Agitation-Sedation Scale), vital signs (including heart rate, blood pressure, oxygen saturation, and respiratory rate), days of MV, extubation success, and days in the ICU. Additionally, three patients underwent electroencephalography during the interventions. Results Data from 23 patients were analyzed in this study. The age range of the patients was 24.0-84.0 years, with a median age of 66.0 years (interquartile range: 57.0-74.0). Of the 23 patients, 19 were female (82.6%). No statistically significant differences between the groups were observed for anxiety (P=0.330), pain (P=0.624), resilience (P=0.916), agitation/sedation (P=0.273), length of ICU stay (P=0.785), or vital signs. A statistically significant difference between the groups was found for days of MV (P=0.019). Electroencephalography measurements showed a trend toward delta and theta band power decrease for two patients and a power increase on both beta frequencies (slow and fast) in the frontal areas of the brain for one patient. Conclusions In this pilot study, music therapy did not significantly affect the anxiety levels in patients on MV. However, the interventions were widely accepted by the staff, patients, and caregivers and were safe, considering the critical medical status of the participants. Further large-scale randomized controlled trials are needed to investigate the potential benefits of music therapeutic interventions in this population.Trial Registration ISRCTN trial registry identifier: ISRCTN16964680.
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Affiliation(s)
| | | | - Josefina Chávez-Chávez
- Vice-Rectorate for Research, Fundación Universitaria de Ciencias de la Salud, Bogotá, Colombia
| | | | | | - Rafael Maya
- SONO - Centro de Musicoterapia, Bogotá, Colombia
| | | | - Mario Valderrama
- Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia
| | - Ingrid Silva-Fajardo
- Faculty of Nursing, Fundación Universitaria de Ciencias de la Salud, Bogotá, Colombia
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16
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Koloski MF, Hulyalkar S, Barnes SA, Mishra J, Ramanathan DS. Cortico-striatal beta oscillations as a reward-related signal. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:839-859. [PMID: 39147929 PMCID: PMC11390840 DOI: 10.3758/s13415-024-01208-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/13/2024] [Indexed: 08/17/2024]
Abstract
The value associated with reward is sensitive to external factors, such as the time between the choice and reward delivery as classically manipulated in temporal discounting tasks. Subjective preference for two reward options is dependent on objective variables of reward magnitude and reward delay. Single neuron correlates of reward value have been observed in regions, including ventral striatum, orbital, and medial prefrontal cortex. Brain imaging studies show cortico-striatal-limbic network activity related to subjective preferences. To explore how oscillatory dynamics represent reward processing across brain regions, we measured local field potentials of rats performing a temporal discounting task. Our goal was to use a data-driven approach to identify an electrophysiological marker that correlates with reward preference. We found that reward-locked oscillations at beta frequencies signaled the magnitude of reward and decayed with longer temporal delays. Electrodes in orbitofrontal/medial prefrontal cortex, anterior insula, ventral striatum, and amygdala individually increased power and were functionally connected at beta frequencies during reward outcome. Beta power during reward outcome correlated with subjective value as defined by a computational model fit to the discounting behavior. These data suggest that cortico-striatal beta oscillations are a reward signal correlated, which may represent subjective value and hold potential to serve as a biomarker and potential therapeutic target.
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Affiliation(s)
- M F Koloski
- Mental Health Service, VA San Diego Healthcare Syst, La Jolla, CA, USA.
- Department of Psychiatry, UC San Diego, La Jolla, CA, USA.
| | - S Hulyalkar
- Mental Health Service, VA San Diego Healthcare Syst, La Jolla, CA, USA
- Department of Psychiatry, UC San Diego, La Jolla, CA, USA
| | - S A Barnes
- Department of Psychiatry, UC San Diego, La Jolla, CA, USA
| | - J Mishra
- Department of Psychiatry, UC San Diego, La Jolla, CA, USA
| | - D S Ramanathan
- Mental Health Service, VA San Diego Healthcare Syst, La Jolla, CA, USA
- Department of Psychiatry, UC San Diego, La Jolla, CA, USA
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17
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Mottaz A, Savic B, Allaman L, Guggisberg AG. Neural correlates of motor learning: Network communication versus local oscillations. Netw Neurosci 2024; 8:714-733. [PMID: 39355447 PMCID: PMC11340994 DOI: 10.1162/netn_a_00374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 03/18/2024] [Indexed: 10/03/2024] Open
Abstract
Learning new motor skills through training, also termed motor learning, is central for everyday life. Current training strategies recommend intensive task-repetitions aimed at inducing local activation of motor areas, associated with changes in oscillation amplitudes ("event-related power") during training. More recently, another neural mechanism was suggested to influence motor learning: modulation of functional connectivity (FC), that is, how much spatially separated brain regions communicate with each other before and during training. The goal of the present study was to compare the impact of these two neural processing types on motor learning. We measured EEG before, during, and after a finger-tapping task (FTT) in 20 healthy subjects. The results showed that training gain, long-term expertise (i.e., average motor performance), and consolidation were all predicted by whole-brain alpha- and beta-band FC at motor areas, striatum, and mediotemporal lobe (MTL). Local power changes during training did not predict any dependent variable. Thus, network dynamics seem more crucial than local activity for motor sequence learning, and training techniques should attempt to facilitate network interactions rather than local cortical activation.
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Affiliation(s)
- Anaïs Mottaz
- Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, University of Geneva, Switzerland
- SIB Text Mining Group, Swiss Institute of Bioinformatics, Carouge, Switzerland
- BiTeM Group, Information Sciences, HES-SO/HEG, Carouge, Switzerland
| | - Branislav Savic
- Division of Neurorehabilitation, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Leslie Allaman
- Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, University of Geneva, Switzerland
| | - Adrian G. Guggisberg
- Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, University of Geneva, Switzerland
- Division of Neurorehabilitation, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
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18
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Giangrande A, Mujunen T, Luigi Cerone G, Botter A, Piitulainen H. Maintained volitional activation of the muscle alters the cortical processing of proprioceptive afference from the ankle joint. Neuroscience 2024; 560:314-325. [PMID: 39357642 DOI: 10.1016/j.neuroscience.2024.09.049] [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: 05/07/2024] [Revised: 09/25/2024] [Accepted: 09/28/2024] [Indexed: 10/04/2024]
Abstract
Cortical proprioceptive processing of intermittent, passive movements can be assessed by extracting evoked and induced electroencephalographic (EEG) responses to somatosensory stimuli. Although the existent prior research on somatosensory stimulations, it remains unknown to what extent ongoing volitional muscle activation modulates the proprioceptive cortical processing of passive ankle-joint rotations. Twenty-five healthy volunteers (28.8 ± 7 yr, 14 males) underwent a total of 100 right ankle-joint passive rotations (4° dorsiflexions, 4 ± 0.25 s inter-stimulus interval, 30°/s peak angular velocity) evoked by a movement actuator during passive condition with relaxed ankle and active condition with a constant plantarflexion torque of 5 ± 2.5 Nm. Simultaneously, EEG, electromyographic (EMG) and kinematic signals were collected. Spatiotemporal features of evoked and induced EEG responses to the stimuli were extracted to estimate the modulation of the cortical proprioceptive processing between the active and passive conditions. Proprioceptive stimuli during the active condition elicited robustly ∼26 % larger evoked response and ∼38 % larger beta suppression amplitudes, but ∼42 % weaker beta rebound amplitude over the primary sensorimotor cortex than the passive condition, with no differences in terms of response latencies. These findings indicate that the active volitional motor task during naturalistic proprioceptive stimulation of the ankle joint enhances related cortical activation and reduces related cortical inhibition with respect to the passive condition. Possible factors explaining these results include mechanisms occurring at several levels of the proprioceptive processing from the peripheral muscle (i.e. mechanical, muscle spindle status, etc.) to the different central (i.e. spinal, sub-cortical and cortical) levels.
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Affiliation(s)
- Alessandra Giangrande
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland; Laboratory of Neuromuscular System and Rehabilitation Engineering, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
| | - Toni Mujunen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Giacinto Luigi Cerone
- Laboratory of Neuromuscular System and Rehabilitation Engineering, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
| | - Alberto Botter
- Laboratory of Neuromuscular System and Rehabilitation Engineering, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
| | - Harri Piitulainen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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19
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Sridhar S, Lowet E, Gritton HJ, Freire J, Zhou C, Liang F, Han X. Beta-frequency sensory stimulation enhances gait rhythmicity through strengthened coupling between striatal networks and stepping movement. Nat Commun 2024; 15:8336. [PMID: 39333151 PMCID: PMC11437063 DOI: 10.1038/s41467-024-52664-0] [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: 01/17/2024] [Accepted: 09/18/2024] [Indexed: 09/29/2024] Open
Abstract
Stepping movement is delta (1-4 Hz) rhythmic and depends on sensory inputs. Stepping-related delta-rhythmic neural activity is coupled to beta (10-30 Hz) frequency dynamics that are also prominent in sensorimotor circuits. We explored how beta-frequency sensory stimulation influences stepping and dorsal striatal regulation of stepping. We delivered audiovisual stimulation at 10 or 145 Hz to mice voluntarily locomoting, while recording locomotion, cellular calcium dynamics and local field potentials (LFPs). We found that 10 Hz, but not 145 Hz stimulation prominently entrained striatal LFPs. Even though stimulation at both frequencies promoted locomotion and desynchronized striatal network, only 10 Hz stimulation enhanced the delta rhythmicity of stepping and strengthened the coupling between stepping and striatal LFP delta and beta oscillations. These results demonstrate that higher frequency sensory stimulation can modulate lower frequency striatal neural dynamics and improve stepping rhythmicity, highlighting the translational potential of non-invasive beta-frequency sensory stimulation for improving gait.
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Affiliation(s)
- Sudiksha Sridhar
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Eric Lowet
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
- - Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - Howard J Gritton
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
- - Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jennifer Freire
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
- - Department of Pharmacology, Boston University, Boston, MA, USA
| | - Chengqian Zhou
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Florence Liang
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Xue Han
- - Department of Biomedical Engineering, Boston University, Boston, MA, USA.
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20
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Chang P, Pérez-González M, Constable J, Bush D, Cleverley K, Tybulewicz VLJ, Fisher EMC, Walker MC. Neuronal oscillations in cognition: Down syndrome as a model of mouse to human translation. Neuroscientist 2024:10738584241271414. [PMID: 39316548 DOI: 10.1177/10738584241271414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/26/2024]
Abstract
Down syndrome (DS), a prevalent cognitive disorder resulting from trisomy of human chromosome 21 (Hsa21), poses a significant global health concern. Affecting approximately 1 in 800 live births worldwide, DS is the leading genetic cause of intellectual disability and a major predisposing factor for early-onset Alzheimer's dementia. The estimated global population of individuals with DS is 6 million, with increasing prevalence due to advances in DS health care. Global efforts are dedicated to unraveling the mechanisms behind the varied clinical outcomes in DS. Recent studies on DS mouse models reveal disrupted neuronal circuits, providing insights into DS pathologies. Yet, translating these findings to humans faces challenges due to limited systematic electrophysiological analyses directly comparing human and mouse. Additionally, disparities in experimental procedures between the two species pose hurdles to successful translation. This review provides a concise overview of neuronal oscillations in human and rodent cognition. Focusing on recent DS mouse model studies, we highlight disruptions in associated brain function. We discuss various electrophysiological paradigms and suggest avenues for exploring molecular dysfunctions contributing to DS-related cognitive impairments. Deciphering neuronal oscillation intricacies holds promise for targeted therapies to alleviate cognitive disabilities in DS individuals.
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Affiliation(s)
- Pishan Chang
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- School of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol, UK
| | | | - Jessica Constable
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, UK
| | - Daniel Bush
- Department of Neuroscience, Physiology, and Pharmacology, UCL, London, UK
| | - Karen Cleverley
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, UK
| | - Victor L J Tybulewicz
- Immune Cell Biology and Down Syndrome Laboratory, The Francis Crick Institute, London, UK
| | | | - Matthew C Walker
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
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21
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Markiewicz R, Segaert K, Mazaheri A. Brain-to-brain coupling forecasts future joint action outcomes. iScience 2024; 27:110802. [PMID: 39290842 PMCID: PMC11407023 DOI: 10.1016/j.isci.2024.110802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/13/2024] [Accepted: 08/20/2024] [Indexed: 09/19/2024] Open
Abstract
In this study, we investigated whether brain-to-brain coupling patterns could predict performance in a time-estimation task that requires two players to cooperate. The participant pairs were tasked with synchronizing button presses after converging on a shared representation of "short," "medium," and "long" time intervals while utilizing feedback to adjust responses. We employed electroencephalogram (EEG)-hyperscanning and focused on post-feedback brain activity. We found that negative feedback led to increased frontal mid-line theta activity across individuals. Moreover, a correlation in post-feedback theta power between players forecasted failed joint action, while an anti-correlation forecasted success. These findings suggest that temporally coupled feedback-related brain activity between two individuals serves as an indicator of redundancy in adjustment of a common goal representation. Additionally, the anti-correlation of this activity reflects cognitive strategic mechanisms that ensure optimal joint action outcomes. Rather than a paired overcompensation, successful cooperation requires flexible strategic agility from both partners.
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Affiliation(s)
- Roksana Markiewicz
- School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
- Istituto Italiano di Tecnologia, Genova, Italy
| | - Katrien Segaert
- School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Ali Mazaheri
- School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
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22
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Pacheco-Estefan D, Fellner MC, Kunz L, Zhang H, Reinacher P, Roy C, Brandt A, Schulze-Bonhage A, Yang L, Wang S, Liu J, Xue G, Axmacher N. Maintenance and transformation of representational formats during working memory prioritization. Nat Commun 2024; 15:8234. [PMID: 39300141 DOI: 10.1038/s41467-024-52541-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 09/11/2024] [Indexed: 09/22/2024] Open
Abstract
Visual working memory depends on both material-specific brain areas in the ventral visual stream (VVS) that support the maintenance of stimulus representations and on regions in the prefrontal cortex (PFC) that control these representations. How executive control prioritizes working memory contents and whether this affects their representational formats remains an open question, however. Here, we analyzed intracranial EEG (iEEG) recordings in epilepsy patients with electrodes in VVS and PFC who performed a multi-item working memory task involving a retro-cue. We employed Representational Similarity Analysis (RSA) with various Deep Neural Network (DNN) architectures to investigate the representational format of prioritized VWM content. While recurrent DNN representations matched PFC representations in the beta band (15-29 Hz) following the retro-cue, they corresponded to VVS representations in a lower frequency range (3-14 Hz) towards the end of the maintenance period. Our findings highlight the distinct coding schemes and representational formats of prioritized content in VVS and PFC.
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Affiliation(s)
- Daniel Pacheco-Estefan
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801, Bochum, Germany.
| | - Marie-Christin Fellner
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801, Bochum, Germany
| | - Lukas Kunz
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Hui Zhang
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801, Bochum, Germany
| | - Peter Reinacher
- Department of Stereotactic and Functional Neurosurgery, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Fraunhofer Institute for Laser Technology, Aachen, Germany
| | - Charlotte Roy
- Epilepsy Center, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Armin Brandt
- Epilepsy Center, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Andreas Schulze-Bonhage
- Epilepsy Center, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Linglin Yang
- Department of Psychiatry, Second Affiliated Hospital, School of medicine, Zhejiang University, Hangzhou, China
| | - Shuang Wang
- Department of Neurology, Epilepsy center, Second Affiliated Hospital, School of medicine, Zhejiang University, Hangzhou, China
| | - Jing Liu
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR
| | - Gui Xue
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, PR China
| | - Nikolai Axmacher
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801, Bochum, Germany
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, PR China
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23
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McNally M, Byczynski G, Vanneste S. An overview of the effects and mechanisms of transcranial stimulation frequency on motor learning. J Neuroeng Rehabil 2024; 21:157. [PMID: 39267118 PMCID: PMC11391832 DOI: 10.1186/s12984-024-01464-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 09/06/2024] [Indexed: 09/14/2024] Open
Abstract
Many studies over the recent decades have attempted the modulation of motor learning using brain stimulation. Alternating currents allow for researchers not only to electrically stimulate the brain, but to further investigate the effects of specific frequencies, in and beyond the context of their endogenous associations. Transcranial alternating current stimulation (tACS) has therefore been used during motor learning to modulate aspects of acquisition, consolidation and performance of a learned motor skill. Despite numerous reviews on the effects of tACS, and its role in motor learning, there are few studies which synthesize the numerous frequencies and their respective theoretical mechanisms as they relate to motor and perceptual processes. Here we provide a short overview of the main stimulation frequencies used in motor learning modulation (e.g., alpha, beta, and gamma), and discuss the effect and proposed mechanisms of these studies. We summarize with the current state of the field, the effectiveness and variability in motor learning modulation, and novel mechanistic proposals from other fields.
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Affiliation(s)
- Michelle McNally
- Department of Physiology, Trinity College Dublin, Dublin, D02 PN40, Ireland
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Gabriel Byczynski
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, D02 PN40, Ireland
- School of Psychology, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Sven Vanneste
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, D02 PN40, Ireland.
- School of Psychology, Trinity College Dublin, Dublin, D02 PN40, Ireland.
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, D02 PN40, Ireland.
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24
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Perry A, Hughes LE, Adams NE, Naessens M, Kloosterman NA, Rouse MA, Murley AG, Street D, Jones PS, Rowe JB. Frontotemporal lobar degeneration changes neuronal beta-frequency dynamics during the mismatch negativity response. Neuroimage Clin 2024; 44:103671. [PMID: 39305652 PMCID: PMC11439566 DOI: 10.1016/j.nicl.2024.103671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 09/07/2024] [Accepted: 09/07/2024] [Indexed: 10/04/2024]
Abstract
The consequences of frontotemporal lobar degeneration include changes in prefrontal cortical neurophysiology, with abnormalities of neural dynamics reported in the beta frequency range (14-30 Hz) that correlate with functional severity. We examined beta dynamics in two clinical syndromes associated with frontotemporal lobar degeneration: the behavioral variant of frontotemporal dementia (bvFTD) and progressive supranuclear palsy (PSP). Whilst these two syndromes are partially convergent in cognitive effects, they differ in disease mechanisms such as molecular pathologies and prefrontal atrophy. Whether bvFTD and PSP also differ in neurophysiology remains to be fully investigated. We compared magnetoencephalography from 20 controls, 23 people with bvFTD and 21 people with PSP (Richardson's syndrome) during an auditory roving oddball paradigm. We measured changes in low and high total beta power responses (14-22 and 22-30 Hz respectively) over frontotemporal cortex in the period of the mismatch negativity response (100-250 ms post-stimulus). In controls, we found increased 14-22 Hz beta power following unexpected sensory events (i.e. increased deviant versus standard response), from right prefrontal cortex. Relative to controls, PSP reversed the mismatch response in this time-frequency window, reflecting reduced responses to the deviant stimuli (relative to standard stimuli). Abnormal beta at baseline in PSP could account for the reduced task-modulation of beta. Across bvFTD and PSP groups, the beta response to deviant stimuli (relative to standard stimuli) correlated with clinical severity, but not with atrophy of the prefrontal source region. These findings confirm the proposed importance of higher-order cortical regions, and their beta-power generators, in sensory change detection and context-updating during oddball paradigms. The physiological effects are proposed to result from changes in synaptic density, cortical neurotransmitters and subcortical connections, rather than merely atrophy. Beta-power changes may assist clinical stratification and provide intermediate outcomes for experimental medicine studies of novel therapeutic strategies.
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Affiliation(s)
- Alistair Perry
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom; Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - Laura E Hughes
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom; Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - Natalie E Adams
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - Michelle Naessens
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom; Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - Niels A Kloosterman
- Institut für Psychologie I, Universität zu Lübeck, Germany; Max Planck Institute for Human Development, Berlin, Germany
| | - Matthew A Rouse
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Alexander G Murley
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - Duncan Street
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - P Simon Jones
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom
| | - James B Rowe
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom; Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, United Kingdom.
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25
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Balconi M, Rovelli K, Angioletti L, Allegretta RA. Working Memory Workload When Making Complex Decisions: A Behavioral and EEG Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:5754. [PMID: 39275665 PMCID: PMC11397910 DOI: 10.3390/s24175754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/27/2024] [Accepted: 09/03/2024] [Indexed: 09/16/2024]
Abstract
Working memory (WM) is crucial for adequate performance execution in effective decision-making, enabling individuals to identify patterns and link information by focusing on current and past situations. This work explored behavioral and electrophysiological (EEG) WM correlates through a novel decision-making task, based on real-life situations, assessing WM workload related to contextual variables. A total of 24 participants performed three task phases (encoding, retrieval, and metacognition) while their EEG activity (delta, theta, alpha, and beta frequency bands) was continuously recorded. From the three phases, three main behavioral indices were computed: Efficiency in complex Decision-making, Tolerance of Decisional Complexity, and Metacognition of Difficulties. Results showed the central role of alpha and beta bands during encoding and retrieval: decreased alpha/beta activity in temporoparietal areas during encoding might indicate activation of regions related to verbal WM performance and a load-related effect, while decreased alpha activity in the same areas and increased beta activity over posterior areas during retrieval might indicate, respectively, active information processing and focused attention. Evidence from correlational analysis between the three indices and EEG bands are also discussed. Integration of behavioral and metacognitive data gathered through this novel task and their interrelation with EEG correlates during task performance proves useful to assess WM workload during complex managerial decision-making.
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Affiliation(s)
- Michela Balconi
- International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
| | - Katia Rovelli
- International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
| | - Laura Angioletti
- International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
| | - Roberta A Allegretta
- International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
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26
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Steinhauser K, Steinhauser R, Ernst B, Maier ME, Steinhauser M. The neural signature of an erroneous thought. Cereb Cortex 2024; 34:bhae390. [PMID: 39329359 DOI: 10.1093/cercor/bhae390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/22/2024] [Accepted: 09/11/2024] [Indexed: 09/28/2024] Open
Abstract
The human brain detects errors in overt behavior fast and efficiently. However, little is known about how errors are monitored that emerge on a mental level. We investigate whether neural correlates of error monitoring can be found during inner speech and whether the involved neural processes differ between these non-motor responses and behavioral motor responses. Therefore, electroencephalographic data were collected while participants performed two versions of a decision task that only differed between these response modalities. Erroneous responses were identified based on participants' metacognitive judgments. Correlates of error monitoring in event-related potentials were analyzed by applying residue iteration decomposition on stimulus-locked activity. Non-motor responses elicited the same cascade of early error-related negativity and late error positivity as motor responses. An analysis of oscillatory brain activity showed a similar theta response for both error types. A multivariate pattern classifier trained on theta from the motor condition could decode theta from the non-motor condition, demonstrating the similarity of both neural responses. These results show that errors in inner speech are monitored and detected utilizing the same neural processes as behavioral errors, suggesting that goal-directed cognition and behavior are supported by a generic error-monitoring system.
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Affiliation(s)
- Klara Steinhauser
- Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Ostenstr. 25, 85072 Eichstätt, Germany
| | - Robert Steinhauser
- Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Ostenstr. 25, 85072 Eichstätt, Germany
| | - Benjamin Ernst
- Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Ostenstr. 25, 85072 Eichstätt, Germany
| | - Martin E Maier
- Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Ostenstr. 25, 85072 Eichstätt, Germany
| | - Marco Steinhauser
- Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Ostenstr. 25, 85072 Eichstätt, Germany
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27
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Menesse G, Torres JJ. Information dynamics of in silico EEG Brain Waves: Insights into oscillations and functions. PLoS Comput Biol 2024; 20:e1012369. [PMID: 39236071 PMCID: PMC11407780 DOI: 10.1371/journal.pcbi.1012369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 09/17/2024] [Accepted: 07/26/2024] [Indexed: 09/07/2024] Open
Abstract
The relation between electroencephalography (EEG) rhythms, brain functions, and behavioral correlates is well-established. Some physiological mechanisms underlying rhythm generation are understood, enabling the replication of brain rhythms in silico. This offers a pathway to explore connections between neural oscillations and specific neuronal circuits, potentially yielding fundamental insights into the functional properties of brain waves. Information theory frameworks, such as Integrated Information Decomposition (Φ-ID), relate dynamical regimes with informational properties, providing deeper insights into neuronal dynamic functions. Here, we investigate wave emergence in an excitatory/inhibitory (E/I) balanced network of integrate and fire neurons with short-term synaptic plasticity. This model produces a diverse range of EEG-like rhythms, from low δ waves to high-frequency oscillations. Through Φ-ID, we analyze the network's information dynamics and its relation with different emergent rhythms, elucidating the system's suitability for functions such as robust information transfer, storage, and parallel operation. Furthermore, our study helps to identify regimes that may resemble pathological states due to poor informational properties and high randomness. We found, e.g., that in silico β and δ waves are associated with maximum information transfer in inhibitory and excitatory neuron populations, respectively, and that the coexistence of excitatory θ, α, and β waves is associated to information storage. Additionally, we observed that high-frequency oscillations can exhibit either high or poor informational properties, potentially shedding light on ongoing discussions regarding physiological versus pathological high-frequency oscillations. In summary, our study demonstrates that dynamical regimes with similar oscillations may exhibit vastly different information dynamics. Characterizing information dynamics within these regimes serves as a potent tool for gaining insights into the functions of complex neuronal networks. Finally, our findings suggest that the use of information dynamics in both model and experimental data analysis, could help discriminate between oscillations associated with cognitive functions and those linked to neuronal disorders.
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Affiliation(s)
- Gustavo Menesse
- Department of Electromagnetism and Physics of the Matter & Institute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, Spain
- Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | - Joaquín J Torres
- Department of Electromagnetism and Physics of the Matter & Institute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, Spain
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28
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Guo L, Bao M, Chen Z, Chen L. Contingent magnetic variation and beta-band oscillations in sensorimotor temporal decision-making. Brain Res Bull 2024; 215:111021. [PMID: 38942396 DOI: 10.1016/j.brainresbull.2024.111021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/07/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
The ability to accurately encode the temporal information of sensory events and hence to make prompt action is fundamental to humans' prompt behavioral decision-making. Here we examined the ability of ensemble coding (averaging multiple inter-intervals in a sound sequence) and subsequent immediate reproduction of target duration at half, equal, or double that of the perceived mean interval in a sensorimotor loop. With magnetoencephalography (MEG), we found that the contingent magnetic variation (CMV) in the central scalp varied as a function of the averaging tasks, with a faster rate for buildup amplitudes and shorter peak latencies in the "half" condition as compared to the "double" condition. ERD (event-related desynchronization) -to-ERS (event-related synchronization) latency was shorter in the "half" condition. A robust beta band (15-23 Hz) power suppression and recovery between the final tone and the action of key pressing was found for time reproduction. The beta modulation depth (i.e., the ERD-to-ERS power difference) was larger in motor areas than in primary auditory areas. Moreover, results of phase slope index (PSI) indicated that beta oscillations in the left supplementary motor area (SMA) led those in the right superior temporal gyrus (STG), showing SMA to STG directionality for the processing of sequential (temporal) auditory interval information. Our findings provide the first evidence to show that CMV and beta oscillations predict the coupling between perception and action in time averaging.
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Affiliation(s)
- Lu Guo
- The Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China; State Key Laboratory of Acoustics,Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
| | - Ming Bao
- School of Materials Science and Intelligent Engineering, Nanjing University, Suzhou 215163, China.
| | - Zhifei Chen
- School of Materials Science and Intelligent Engineering, Nanjing University, Suzhou 215163, China
| | - Lihan Chen
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China; Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China; National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing 100871, China; State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, 100871, China.
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Senkowski D, Engel AK. Multi-timescale neural dynamics for multisensory integration. Nat Rev Neurosci 2024; 25:625-642. [PMID: 39090214 DOI: 10.1038/s41583-024-00845-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2024] [Indexed: 08/04/2024]
Abstract
Carrying out any everyday task, be it driving in traffic, conversing with friends or playing basketball, requires rapid selection, integration and segregation of stimuli from different sensory modalities. At present, even the most advanced artificial intelligence-based systems are unable to replicate the multisensory processes that the human brain routinely performs, but how neural circuits in the brain carry out these processes is still not well understood. In this Perspective, we discuss recent findings that shed fresh light on the oscillatory neural mechanisms that mediate multisensory integration (MI), including power modulations, phase resetting, phase-amplitude coupling and dynamic functional connectivity. We then consider studies that also suggest multi-timescale dynamics in intrinsic ongoing neural activity and during stimulus-driven bottom-up and cognitive top-down neural network processing in the context of MI. We propose a new concept of MI that emphasizes the critical role of neural dynamics at multiple timescales within and across brain networks, enabling the simultaneous integration, segregation, hierarchical structuring and selection of information in different time windows. To highlight predictions from our multi-timescale concept of MI, real-world scenarios in which multi-timescale processes may coordinate MI in a flexible and adaptive manner are considered.
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Affiliation(s)
- Daniel Senkowski
- Department of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Fulvio JM, Haegens S, Postle BR. Single-pulse Transcranial Magnetic Stimulation Affects Working-memory Performance via Posterior Beta-band Oscillations. J Cogn Neurosci 2024; 36:1827-1846. [PMID: 38820555 PMCID: PMC11324247 DOI: 10.1162/jocn_a_02194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Abstract
A single pulse of TMS (spTMS) during the delay period of a double serial retrocuing working-memory task can briefly rescue decodability of an unprioritized memory item (UMI). This physiological phenomenon, which is paralleled in behavior by involuntary retrieval of the UMI, is carried by the beta frequency band, implicating beta-band dynamics in priority coding in working memory. We decomposed EEG data from 12 participants performing double serial retrocuing with concurrent delivery of spTMS using Spatially distributed PhAse Coupling Extraction. This procedure decomposes the scalp-level signal into a set of discrete coupled oscillators, each with a component strength that can vary over time. The decomposition revealed a diversity of low-frequency components, a subset of them strengthening with the onset of the task, and the majority declining in strength across the trial, as well as within each delay period. Results with spTMS revealed no evidence that it works by activating previously "silent" sources; instead, it had the effect of modulating ongoing activity, specifically by exaggerating the within-delay decrease in strength of posterior beta components. Furthermore, the magnitude of the effect of spTMS on the loading strength of a posterior beta component correlated with the disruptive effect of spTMS on performance, a pattern also seen when analyses were restricted to trials with "UMI-lure" memory probes. Rather than reflecting the "activation" of a putatively "activity silent" UMI, these results implicate beta-band dynamics in a mechanism that distinguishes prioritized from unprioritized, and suggest that the effect of spTMS is to disrupt this code.
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Affiliation(s)
| | - Saskia Haegens
- Columbia University
- New York State Psychiatric Institute
- Radboud University Nijmegen
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31
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Baarbé J, Brown MJN, Saha U, Tran S, Weissbach A, Saravanamuttu J, Cheyne D, Hutchison WD, Chen R. Cortical modulations before lower limb motor blocks are associated with freezing of gait in Parkinson's disease: an EEG source localization study. Neurobiol Dis 2024; 199:106557. [PMID: 38852752 DOI: 10.1016/j.nbd.2024.106557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/15/2024] [Accepted: 06/05/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) characterized by paroxysmal episodes in which patients are unable to step forward. A research priority is identifying cortical changes before freezing in PD-FOG. METHODS We tested 19 patients with PD who had been assessed for FOG (n=14 with FOG and 5 without FOG). While seated, patients stepped bilaterally on pedals to progress forward through a virtual hallway while 64-channel EEG was recorded. We assessed cortical activities before and during lower limb motor blocks (LLMB), defined as a break in rhythmic pedaling, and stops, defined as movement cessation following an auditory stop cue. This task was selected because LLMB correlates with FOG severity in PD and allows recording of high-quality EEG. Patients were tested after overnight withdrawal from dopaminergic medications ("off" state) and in the "on" medications state. EEG source activities were evaluated using individual MRI and standardized low resolution brain electromagnetic tomography (sLORETA). Functional connectivity was evaluated by phase lag index between seeds and pre-defined cortical regions of interest. RESULTS EEG source activities for LLMB vs. cued stops localized to right posterior parietal area (Brodmann area 39), lateral premotor area (Brodmann area 6), and inferior frontal gyrus (Brodmann area 47). In these areas, PD-FOG (n=14) increased alpha rhythms (8-12 Hz) before LLMB vs. typical stepping, whereas PD without FOG (n=5) decreased alpha power. Alpha rhythms were linearly correlated with LLMB severity, and the relationship became an inverted U-shape when assessing alpha rhythms as a function of percent time in LLMB in the "off" medication state. Right inferior frontal gyrus and supplementary motor area connectivity was observed before LLMB in the beta band (13-30 Hz). This same pattern of connectivity was seen before stops. Dopaminergic medication improved FOG and led to less alpha synchronization and increased functional connections between frontal and parietal areas. CONCLUSIONS Right inferior parietofrontal structures are implicated in PD-FOG. The predominant changes were in the alpha rhythm, which increased before LLMB and with LLMB severity. Similar connectivity was observed for LLMB and stops between the right inferior frontal gyrus and supplementary motor area, suggesting that FOG may be a form of "unintended stopping." These findings may inform approaches to neurorehabilitation of PD-FOG.
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Affiliation(s)
- Julianne Baarbé
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Faculty of Health, York University, Toronto, Ontario, Canada.
| | - Matt J N Brown
- Department of Kinesiology, California State University, Sacramento, CA, USA
| | - Utpal Saha
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Stephanie Tran
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Anne Weissbach
- Institute of Systems Motor Science, Center of Brain, Behavior and Metabolism, University of Lübeck, Germany
| | - James Saravanamuttu
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Douglas Cheyne
- Program in Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - William D Hutchison
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Robert Chen
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
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Adamovich T, Ismatullina V, Chipeeva N, Zakharov I, Feklicheva I, Malykh S. Task-specific topology of brain networks supporting working memory and inhibition. Hum Brain Mapp 2024; 45:e70024. [PMID: 39258339 PMCID: PMC11387957 DOI: 10.1002/hbm.70024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 08/14/2024] [Accepted: 08/29/2024] [Indexed: 09/12/2024] Open
Abstract
Network neuroscience explores the brain's connectome, demonstrating that dynamic neural networks support cognitive functions. This study investigates how distinct cognitive abilities-working memory and cognitive inhibitory control-are supported by unique brain network configurations constructed by estimating whole-brain networks using mutual information. The study involved 195 participants who completed the Sternberg Item Recognition task and Flanker tasks while undergoing electroencephalography recording. A mixed-effects linear model analyzed the influence of network metrics on cognitive performance, considering individual differences and task-specific dynamics. The findings indicate that working memory and cognitive inhibitory control are associated with different network attributes, with working memory relying on distributed networks and cognitive inhibitory control on more segregated ones. Our analysis suggests that both strong and weak connections contribute to cognitive processes, with weak connections potentially leading to a more stable and support networks of memory and cognitive inhibitory control. The findings indirectly support the network neuroscience theory of intelligence, suggesting different functional topology of networks inherent to various cognitive functions. Nevertheless, we propose that understanding individual variations in cognitive abilities requires recognizing both shared and unique processes within the brain's network dynamics.
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Affiliation(s)
- Timofey Adamovich
- Federal Scientific Center of Psychological and Multidisciplinary ResearchesMoscowRussia
| | - Victoria Ismatullina
- Federal Scientific Center of Psychological and Multidisciplinary ResearchesMoscowRussia
| | - Nadezhda Chipeeva
- Federal State Institution “National Medical Research Center for Children's Health” of the Ministry of Health of the Russian FederationMoscowRussia
| | - Ilya Zakharov
- Federal Scientific Center of Psychological and Multidisciplinary ResearchesMoscowRussia
| | | | - Sergey Malykh
- Federal Scientific Center of Psychological and Multidisciplinary ResearchesMoscowRussia
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Lee TW, Li CSR, Tramontano G. Tripod transcranial alternating current stimulation at 5-Hz to alleviate anxiety symptoms: A preliminary report. J Affect Disord 2024; 360:156-162. [PMID: 38821364 DOI: 10.1016/j.jad.2024.05.166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/02/2024]
Abstract
INTRODUCTION One of the most common applications of transcranial electrical stimulation (tES) at low current intensity is to induce a relaxed state or reduce anxiety. With technical advancement, different waveforms, montages, and parameters can be incorporated into the treatment regimen. We developed a novel protocol to treat individuals with anxiety disorders by transcranial alternating current stimulation (tACS). METHODS A total of 27 individuals with anxiety disorders underwent tACS treatment for 12 sessions, with each session lasting 25 min. tACS at 5 Hz was applied to F4 (1.0 mA), P4 (1.0 mA), and T8 (2.0 mA) EEG lead positions (tripod), with sinewave oscillation between T8 and F4/P4. We evaluated the primary and secondary outcomes using the Beck Anxiety Inventory (BAI) and neuropsychological assessments. RESULTS Of the 27 patients, 19 (70.4 %) experienced a reduction in symptom severity >50 %, with an average reduction of BAI 58.5 %. All reported side effects were mild, with itching or tingling being the most common complaint. No significant differences were noted in attention, linguistic working memory, visuospatial working memory, or long-term memory in neuropsychological assessments. CONCLUSION The results suggest the potential of this novel tripod tACS design as a rapid anxiety alleviator and the importance of a clinical trial to verify its efficacy.
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Affiliation(s)
- Tien-Wen Lee
- The NeuroCognitive Institute (NCI) Clinical Research Foundation, NJ 07856, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA; Wu Tsai Institute, Yale University, New Haven, CT 06520, USA.
| | - Gerald Tramontano
- The NeuroCognitive Institute (NCI) Clinical Research Foundation, NJ 07856, USA.
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Casula EP, Esposito R, Dezi S, Ortelli P, Sebastianelli L, Ferrazzoli D, Saltuari L, Pezzopane V, Borghi I, Rocchi L, Ajello V, Trinka E, Oliviero A, Koch G, Versace V. Reduced TMS-evoked EEG oscillatory activity in cortical motor regions in patients with post-COVID fatigue. Clin Neurophysiol 2024; 165:26-35. [PMID: 38943790 DOI: 10.1016/j.clinph.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/13/2024] [Accepted: 06/10/2024] [Indexed: 07/01/2024]
Abstract
OBJECTIVE Persistent fatigue is a major symptom of the so-called 'long-COVID syndrome', but the pathophysiological processes that cause it remain unclear. We hypothesized that fatigue after COVID-19 would be associated with altered cortical activity in premotor and motor regions. METHODS We used transcranial magnetic stimulation combined with EEG (TMS-EEG) to explore the neural oscillatory activity of the left primary motor area (l-M1) and supplementary motor area (SMA) in a group of sixteen post-COVID patients complaining of lingering fatigue as compared to a sample of age-matched healthy controls. Perceived fatigue was assessed with the Fatigue Severity Scale (FSS) and Fatigue Rating Scale (FRS). RESULTS Post-COVID patients showed a remarkable reduction of beta frequency in both areas. Correlation analysis exploring linear relation between neurophysiological and clinical measures revealed a significant inverse correlation between the individual level of beta oscillations evoked by TMS of SMA with the individual scores in the FRS (r(15) = -0.596; p = 0.012). CONCLUSIONS Post-COVID fatigue is associated with a reduction of TMS-evoked beta oscillatory activity in SMA. SIGNIFICANCE TMS-EEG could be used to identify early alterations of cortical oscillatory activity that could be related to the COVID impact in central fatigue.
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Affiliation(s)
- Elias P Casula
- Department of System Medicine, University of Tor Vergata, Via Cracovia 50, 00133, Rome, Italy; Experimental Neuropsychophysiology Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 354, 00179, Rome, Italy
| | - Romina Esposito
- Experimental Neuropsychophysiology Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 354, 00179, Rome, Italy
| | - Sabrina Dezi
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria
| | - Paola Ortelli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria
| | - Luca Sebastianelli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria
| | - Davide Ferrazzoli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria
| | - Leopold Saltuari
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria
| | - Valentina Pezzopane
- Experimental Neuropsychophysiology Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 354, 00179, Rome, Italy
| | - Ilaria Borghi
- Experimental Neuropsychophysiology Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 354, 00179, Rome, Italy
| | - Lorenzo Rocchi
- Department of Medical Sciences and Public Health, University of Cagliari, Via Università 40, 09124 Cagliari, Italy
| | - Valentina Ajello
- Department of Cardiac Anesthesia, University of Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Eugen Trinka
- Department of Neurology, Neurocritical Care and Neurorehabilitation, Christian Doppler University Hospital, Centre for Cognitive Neuroscience, Paracelsus Medical University, Member of the European Reference Network EpiCARE, Salzburg, Ignaz-Harrer-Straße 79, 5020 Salzburg, Austria; Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University and Center for Cognitive Neuroscience, Ignaz-Harrer-Straße 79, 5020 Salzburg, Austria; Karl Landsteiner Institute of Neurorehabilitation and Space Neurology, Julius Raab-Promenade 49/1, 3100 St. Pölten, Salzburg, Austria
| | - Antonio Oliviero
- FENNSI Group, Hospital Nacional de Parapléjicos, SESCAM, FINCA DE, Carr. de la Peraleda, S/N, 45004 Toledo, Spain; Center for Clinical Neuroscience, Hospital Los Madroños, M-501 Km 17, 900 - 28690 Brunete, Spain
| | - Giacomo Koch
- Experimental Neuropsychophysiology Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 354, 00179, Rome, Italy; Department of Neuroscience and Rehabilitation, University of Ferrara, Via Ludovico Ariosto 35, 44121 Ferrara, Italy
| | - Viviana Versace
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy, Teaching Hospital of the Paracelsus Medical Unversity (PMU), Salzburg, Austria; Teaching Hospital of the Paracelsus Medical University (PMU), Salzburg, Austria; Department of Neurology, Neurocritical Care and Neurorehabilitation, Christian Doppler University Hospital, Centre for Cognitive Neuroscience, Paracelsus Medical University, Member of the European Reference Network EpiCARE, Salzburg, Ignaz-Harrer-Straße 79, 5020 Salzburg, Austria.
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Happer JP, Beaton LE, Wagner LC, Hodgkinson CA, Goldman D, Marinkovic K. Neural indices of heritable impulsivity: Impact of the COMT Val158Met polymorphism on frontal beta power during early motor preparation. Biol Psychol 2024; 191:108826. [PMID: 38862067 DOI: 10.1016/j.biopsycho.2024.108826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/14/2024] [Accepted: 05/31/2024] [Indexed: 06/13/2024]
Abstract
Studies of COMT Val158Met suggest that the neural circuitry subserving inhibitory control may be modulated by this functional polymorphism altering cortical dopamine availability, thus giving rise to heritable differences in behaviors. Using an anatomically-constrained magnetoencephalography method and stratifying the sample by COMT genotype, from a larger sample of 153 subjects, we examined the spatial and temporal dynamics of beta oscillations during motor execution and inhibition in 21 healthy Met158/Met158 (high dopamine) or 21 Val158/Val158 (low dopamine) genotype individuals during a Go/NoGo paradigm. While task performance was unaffected, Met158 homozygotes demonstrated an overall increase in beta power across regions essential for inhibitory control during early motor preparation (∼100 ms latency), suggestive of a global motor "pause" on behavior. This increase was especially evident on Go trials with slow response speed and was absent during inhibition failures. Such a pause could underlie the tendency of Met158 allele carriers to be more cautious and inhibited. In contrast, Val158 homozygotes exhibited a beta drop during early motor preparation, indicative of high response readiness. This decrease was associated with measures of behavioral disinhibition and consistent with greater extraversion and impulsivity observed in Val homozygotes. These results provide mechanistic insight into genetically-determined interindividual differences of inhibitory control with higher cortical dopamine associated with momentary response hesitation, and lower dopamine leading to motor impulsivity.
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Affiliation(s)
- Joseph P Happer
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Lauren E Beaton
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Laura C Wagner
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | | | - David Goldman
- Laboratory of Neurogenetics, NIAAA, NIH, Bethesda, MD, USA
| | - Ksenija Marinkovic
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA; Department of Psychology, San Diego State University, San Diego, CA, USA; Department of Radiology, University of California, La Jolla, San Diego, CA, USA.
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Bakken K, Horton C, Fisher M, Wadsley CG, Greenhouse I. Corticospinal excitability at rest outside of a task does not differ from task intertrial intervals in healthy adults. Exp Brain Res 2024; 242:2263-2270. [PMID: 39043898 DOI: 10.1007/s00221-024-06895-8] [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: 01/24/2024] [Accepted: 07/10/2024] [Indexed: 07/25/2024]
Abstract
Human corticospinal excitability (CSE) modulates during movement, when muscles are active, but also at rest, when muscles are not active. These changes in resting motor system excitability can be transient or longer lasting. Evidence from transcranial magnetic stimulation (TMS) studies suggests even relatively short periods of motor learning on the order of minutes can have lasting effects on resting CSE. Whether individuals are able to return CSE to out-of-task resting levels during the intertrial intervals (ITI) of behavioral tasks that do not include an intended motor learning component is an important question. Here, in twenty-five healthy young adults, we used single-pulse TMS and electromyography (EMG) to measure motor evoked potentials (MEPs) during two different resting contexts: (1) prior to engaging in the response task during which participants were instructed only to rest (out-of-task), and (2) ITI of a choice-reaction time task (in-task). In both contexts, five TMS intensities were used to evaluate possible differences in recruitment of corticospinal (CS) output across a range of inputs. We hypothesized resting state CSE would be greater during ITI than out-of-task rest, reflected in larger MEP amplitudes. Contrary to our hypothesis, we observed no significant difference in MEP amplitudes between out-of-task rest and in-task ITI, and instead found evidence of equivalence, indicating that humans are able to return to a stable motor resting state within seconds after a response. These data support the interpretation that rest is a uniform motor state in the healthy nervous system. In the future, our data may be a useful reference for motor disorder populations with an impaired ability to return to rest.
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Affiliation(s)
- Kate Bakken
- Action Control Lab, Department of Human Physiology, University of Oregon, Eugene, OR, USA
| | - Chris Horton
- Action Control Lab, Department of Human Physiology, University of Oregon, Eugene, OR, USA
| | - Mitchell Fisher
- Action Control Lab, Department of Human Physiology, University of Oregon, Eugene, OR, USA
| | - Corey G Wadsley
- Action Control Lab, Department of Human Physiology, University of Oregon, Eugene, OR, USA
| | - Ian Greenhouse
- Action Control Lab, Department of Human Physiology, University of Oregon, Eugene, OR, USA.
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Li L, Hu T, Fang D, Weng S. The influence of EEG channels and features significance on automatic detection of epileptic waves in MECT. Comput Methods Biomech Biomed Engin 2024; 27:1633-1648. [PMID: 37668087 DOI: 10.1080/10255842.2023.2252952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/26/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023]
Abstract
Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in treating mental disorders. The occurrence of epilepsy is a crucial benchmark for evaluating therapeutic effectiveness. However, the medical field still lacks relevant research on automatically detecting epileptic waves in MECT. Therefore, this article proposes a novel automatic detection method of epileptic waves in MECT. In this article, EEG local features (time, frequency, and time-frequency domains) and global features (Pearson correlation coefficient) are combined for epileptic wave detection with SVM (Support Vector Machine). We researched the system with 15 EEG detection channels. The dataset under investigation contains EEG data from 22 patients who received MECT and presented with epileptic seizures. The results revealed that LA (Logarithm of Activity) feature exhibits the best classification significance. When epileptic waves appear, there is a decrease in the power ratio of delta waves and an increase in the power ratio of theta waves. Additionally, the complexity of EEG decreases while the correlation between EEG channels increases. The Cz, F4, and P3 channels exhibit the highest classification significance among all EEG channels. Furthermore, based on the channel classification significance, the EEG detection channels number can be reduced to 8. Similarly, based on the feature classification significance, the local feature number can be reduced from 9 to 3. These conclusions can improve detection efficiency and reduce the cost for MECT. Moreover, the method we proposed can effectively detect epileptic waves in MECT. This work can provide physicians with a reference for evaluating the effectiveness of MECT.
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Affiliation(s)
- Li Li
- School of Electronic Information, Wuhan University, Wuhan, China
| | - Tan Hu
- School of Electronic Information, Wuhan University, Wuhan, China
| | - Dongshen Fang
- School of Electronic Information, Wuhan University, Wuhan, China
| | - Shenhong Weng
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
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Simpson TG, Godfrey W, Torrecillos F, He S, Herz DM, Oswal A, Muthuraman M, Pogosyan A, Tan H. Cortical beta oscillations help synchronise muscles during static posture holding in healthy motor control. Neuroimage 2024; 298:120774. [PMID: 39103065 DOI: 10.1016/j.neuroimage.2024.120774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/07/2024] Open
Abstract
How cortical oscillations are involved in the coordination of functionally coupled muscles and how this is modulated by different movement contexts (static vs dynamic) remains unclear. Here, this is investigated by recording high-density electroencephalography (EEG) and electromyography (EMG) from different forearm muscles while healthy participants (n = 20) performed movement tasks (static and dynamic posture holding, and reaching) with their dominant hand. When dynamic perturbation was applied, beta band (15-35 Hz) activities in the motor cortex contralateral to the performing hand reduced during the holding phase, comparative to when there was no perturbation. During static posture holding, transient periods of increased cortical beta oscillations (beta bursts) were associated with greater corticomuscular coherence and increased phase synchrony between muscles (intermuscular coherence) in the beta frequency band compared to the no-burst period. This effect was not present when resisting dynamic perturbation. The results suggest that cortical beta bursts assist synchronisation of different muscles during static posture holding in healthy motor control, contributing to the maintenance and stabilisation of functional muscle groups. Theoretically, increased cortical beta oscillations could lead to exaggerated synchronisation in different muscles making the initialisation of movements more difficult, as observed in Parkinson's disease.
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Affiliation(s)
- Thomas G Simpson
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - William Godfrey
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Flavie Torrecillos
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Shenghong He
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Damian M Herz
- Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Ashwini Oswal
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Muthuraman Muthuraman
- Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI), Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Alek Pogosyan
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Huiling Tan
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
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Kim J, Park S, Kim H, Roh D, Kim DH. Effects of Phytoncide Fragrance on Resting-State Brain Activity in Mild Cognitive Impairment: A Randomized Double-Blind Controlled Study. JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE 2024; 30:848-857. [PMID: 38530093 DOI: 10.1089/jicm.2023.0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Introduction: The therapeutic potential of phytoncide fragrances may be optimal for patients with mild cognitive impairment (MCI) that display complex symptomatology. This study aimed to explore the clinical value of phytoncide by evaluating its electrophysiological effects in patients with MCI. Materials and Methods: This was a double-blind, randomized controlled trial. A total of 24 community-dwelling patients were randomly assigned to either a phytoncide or no-odor group. Participants wore a dental mask, for 30 min at rest that had either the fragrance stimulus or water added to it. The quantitative electroencephalography (EEG) during the resting state was recorded before and after a single intervention. Results: There were significant interaction effects in absolute EEG-power values in the occipital (F = 6.52, p = 0.018) and parietal (F = 5.41, p = 0.030) left hemisphere at β frequency. Phytoncide odor significantly decreased low and high β activity in the occipital (corrected p = 0.009) and parietal (corrected p = 0.047) left hemisphere, respectively. In source localization, phytoncide odor significantly decreased deep source activation in the left inferior and middle frontal gyri at β 2 frequency band compared with the no-odor group (threshold = 4.25, p < 0.05). Conclusions: Reductions in β, indicative of anxiety, depression, and stress, suggest relief from emotion-related symptoms that are common in patients with MCI. Trial Registration: Clinical Trials Registry Korea (registration: KCT0007317).
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Affiliation(s)
- Jiheon Kim
- Department of Psychiatry, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea
- Mind-Neuromodulation Laboratory, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Seungchan Park
- Mind-Neuromodulation Laboratory, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Hansol Kim
- Mind-Neuromodulation Laboratory, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Daeyoung Roh
- Department of Psychiatry, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea
- Mind-Neuromodulation Laboratory, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Do Hoon Kim
- Department of Psychiatry, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea
- Mind-Neuromodulation Laboratory, College of Medicine, Hallym University, Chuncheon, Republic of Korea
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40
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Levy JCP, Yatziv T, Bunderson M, Bartz C, Vancor EA, Rutherford HJV. Anxiety and neural correlates of attention and self-regulation in pregnancy: a resting-state EEG study. Arch Womens Ment Health 2024:10.1007/s00737-024-01505-6. [PMID: 39214911 DOI: 10.1007/s00737-024-01505-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 08/14/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE Pregnant women are particularly vulnerable to experiencing mental health difficulties, especially anxiety. Anxiety in pregnancy can be characterized as having two components: general symptomology experienced in the general population, and pregnancy-related anxiety more focused on pregnancy, delivery, and the future child. In addition, women also commonly report experiencing attentional control and self-regulation difficulties across the peripartum period. However, links between anxiety and neural and cognitive functioning in pregnancy remain unclear. The present study investigated whether anxiety is associated with neural markers of attention and self-regulation measured using electroencephalography (EEG). Specifically, we examined associations between general and pregnancy-related anxiety and (1) beta oscillations, a neural marker of attentional processing; and (2) the coupling of beta and delta oscillations, a neural marker of self-regulation, in frontal and prefrontal regions. METHODS A sample of 135 women in the third trimester of their pregnancy completed a resting-state EEG session. RESULTS General anxiety was associated with increased beta oscillations, in line with research in the general population, interpreted as reflecting hyperarousal. Pregnancy-related anxiety was associated with decreased beta oscillations, interpreted as reflecting inattention and mind-wandering. Moreover, pregnancy-related anxiety, but not general anxiety, was linked to stronger delta-beta coupling, suggesting anxiety specifically related to the pregnancy is associated with investing greater effort in self-regulation. CONCLUSION Our results suggest that general and pregnancy-related anxiety may differentially relate to neural patterns underlying attention and self-regulation in pregnancy.
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Affiliation(s)
- Josephine C P Levy
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
| | - Tal Yatziv
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
- Department of Psychology, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Madison Bunderson
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
| | - Cody Bartz
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
| | - Emily A Vancor
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
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Tian S, Cheng YA, Luo H. Rhythm Facilitates Auditory Working Memory via Beta-Band Encoding and Theta-Band Maintenance. Neurosci Bull 2024:10.1007/s12264-024-01289-w. [PMID: 39215886 DOI: 10.1007/s12264-024-01289-w] [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: 01/29/2024] [Accepted: 05/04/2024] [Indexed: 09/04/2024] Open
Abstract
Rhythm, as a prominent characteristic of auditory experiences such as speech and music, is known to facilitate attention, yet its contribution to working memory (WM) remains unclear. Here, human participants temporarily retained a 12-tone sequence presented rhythmically or arrhythmically in WM and performed a pitch change-detection task. Behaviorally, while having comparable accuracy, rhythmic tone sequences showed a faster response time and lower response boundaries in decision-making. Electroencephalographic recordings revealed that rhythmic sequences elicited enhanced non-phase-locked beta-band (16 Hz-33 Hz) and theta-band (3 Hz-5 Hz) neural oscillations during sensory encoding and WM retention periods, respectively. Importantly, the two-stage neural signatures were correlated with each other and contributed to behavior. As beta-band and theta-band oscillations denote the engagement of motor systems and WM maintenance, respectively, our findings imply that rhythm facilitates auditory WM through intricate oscillation-based interactions between the motor and auditory systems that facilitate predictive attention to auditory sequences.
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Affiliation(s)
- Suizi Tian
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China
| | - Yu-Ang Cheng
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI, 02912, USA
| | - Huan Luo
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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42
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Dal Bò E, Cecchetto C, Callara AL, Greco A, Mura F, Vanello N, Di Francesco F, Scilingo EP, Gentili C. Emotion perception through the nose: how olfactory emotional cues modulate the perception of neutral facial expressions in affective disorders. Transl Psychiatry 2024; 14:342. [PMID: 39181892 PMCID: PMC11344772 DOI: 10.1038/s41398-024-03038-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/27/2024] Open
Abstract
Humans can decode emotional states from the body odors of the conspecifics and this type of emotional communication is particularly relevant in conditions in which social interactions are impaired, as in depression and social anxiety. The present study aimed to explore how body odors collected in happiness and fearful conditions modulate the subjective ratings, the psychophysiological response and the neural processing of neutral faces in individuals with depressive symptoms, social anxiety symptoms, and healthy controls (N = 22 per group). To this aim, electrocardiogram (ECG) and HD-EEG were recorded continuously. Heart Rate Variability (HRV) was extracted from the ECG as a measure of vagal tone, event-related potentials (ERPs) and event-related spectral perturbations (ERPSs) were extracted from the EEG. The results revealed that the HRV increased during the fear and happiness body odors conditions compared to clean air, but no group differences emerged. For ERPs data, repeated measure ANOVA did not show any significant effects. However, the ERPSs analyses revealed a late increase in delta power and a reduced beta power both at an early and a late stage of stimulus processing in response to the neutral faces presented with the emotional body odors, regardless of the presence of depressive or social anxiety symptoms. The current research offers new insights, demonstrating that emotional chemosignals serve as potent environmental cues. This represents a substantial advancement in comprehending the impact of emotional chemosignals in both individuals with and without affective disorders.
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Grants
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- 824153 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- DM 11/05/2017 n. 262 Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research)
- European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan, Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), Spoke 3 "Advanced technologies, methods, materials and heath analytics " CUP: I53C22000780001
- PNRR - M4C2 - Investimento 1.3, Partenariato Esteso PE00000013 - “FAIR - Future Artificial Intelligence Research” - Spoke 1 “Human-centered AI”, funded by the European Commission under the NextGeneration EU programme.
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Affiliation(s)
- Elisa Dal Bò
- Department of General Psychology, University of Padova, Padua, Italy.
| | - Cinzia Cecchetto
- Department of General Psychology, University of Padova, Padua, Italy
| | - Alejandro Luis Callara
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Pisa, Italy
| | - Alberto Greco
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Pisa, Italy
| | - Francesca Mura
- Department of General Psychology, University of Padova, Padua, Italy
| | - Nicola Vanello
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Pisa, Italy
| | - Fabio Di Francesco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Italy
| | - Enzo Pasquale Scilingo
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Pisa, Italy
| | - Claudio Gentili
- Department of General Psychology, University of Padova, Padua, Italy
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43
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Evans ID, Sharpley CF, Bitsika V, Vessey KA, Jesulola E, Agnew LL. Functional Network Connectivity for Components of Depression-Related Psychological Fragility. Brain Sci 2024; 14:845. [PMID: 39199536 PMCID: PMC11352653 DOI: 10.3390/brainsci14080845] [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: 07/18/2024] [Revised: 08/09/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024] Open
Abstract
Psychological resilience (PR) is known to be inversely associated with depression. While there is a growing body of research examining how depression alters activity across multiple functional neural networks, how differences in PR affect these networks is largely unexplored. This study examines the relationship between PR and functional connectivity in the alpha and beta bands within (and between) eighteen established cortical nodes in the default mode network, the central executive network, and the salience network. Resting-state EEG data from 99 adult participants (32 depressed, 67 non-depressed) were used to measure the correlation between the five factors of PR sourced from the Connor-Davidson Resilience Scale and eLORETA-based measures of coherence and phase synchronisation. Distinct functional connectivity patterns were seen across each resilience factor, with a notable absence of overlapping positive results across the depressed and non-depressed samples. These results indicate that depression may modulate how resilience is expressed in terms of fundamental neural activity.
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Affiliation(s)
- Ian D. Evans
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
| | - Christopher F. Sharpley
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
| | - Vicki Bitsika
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
| | - Kirstan A. Vessey
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
| | - Emmanuel Jesulola
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
- Department of Neurosurgery, The Alfred Hospital, Melbourne, VIC 3004, Australia
| | - Linda L. Agnew
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (I.D.E.); (V.B.); (K.A.V.); (E.J.); (L.L.A.)
- Griffith Health Group, Griffith University, Southport, QLD 4222, Australia
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Ünsal E, Duygun R, Yemeniciler İ, Bingöl E, Ceran Ö, Güntekin B. From Infancy to Childhood: A Comprehensive Review of Event- and Task-Related Brain Oscillations. Brain Sci 2024; 14:837. [PMID: 39199528 PMCID: PMC11352659 DOI: 10.3390/brainsci14080837] [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: 07/03/2024] [Revised: 08/12/2024] [Accepted: 08/14/2024] [Indexed: 09/01/2024] Open
Abstract
Brain development from infancy through childhood involves complex structural and functional changes influenced by both internal and external factors. This review provides a comprehensive analysis of event and task-related brain oscillations, focusing on developmental changes across different frequency bands, including delta, theta, alpha, beta, and gamma. Electroencephalography (EEG) studies highlight that these oscillations serve as functional building blocks for sensory and cognitive processes, with significant variations observed across different developmental stages. Delta oscillations, primarily associated with deep sleep and early cognitive demands, gradually diminish as children age. Theta rhythms, crucial for attention and memory, display a distinct pattern in early childhood, evolving with cognitive maturation. Alpha oscillations, reflecting thalamocortical interactions and cognitive performance, increase in complexity with age. Beta rhythms, linked to active thinking and problem-solving, show developmental differences in motor and cognitive tasks. Gamma oscillations, associated with higher cognitive functions, exhibit notable changes in response to sensory stimuli and cognitive tasks. This review underscores the importance of understanding oscillatory dynamics to elucidate brain development and its implications for sensory and cognitive processing in childhood. The findings provide a foundation for future research on developmental neuroscience and potential clinical applications.
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Affiliation(s)
- Esra Ünsal
- Department of Neuroscience, Graduate School of Health Sciences, Istanbul Medipol University, 34810 Istanbul, Turkey; (E.Ü.); (R.D.); (İ.Y.); (E.B.)
- Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, 34810 Istanbul, Turkey
| | - Rümeysa Duygun
- Department of Neuroscience, Graduate School of Health Sciences, Istanbul Medipol University, 34810 Istanbul, Turkey; (E.Ü.); (R.D.); (İ.Y.); (E.B.)
- Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, 34810 Istanbul, Turkey
| | - İrem Yemeniciler
- Department of Neuroscience, Graduate School of Health Sciences, Istanbul Medipol University, 34810 Istanbul, Turkey; (E.Ü.); (R.D.); (İ.Y.); (E.B.)
- Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, 34810 Istanbul, Turkey
- Department of Biophysics, School of Medicine, Istanbul Medipol University, 34810 Istanbul, Turkey
| | - Elifnur Bingöl
- Department of Neuroscience, Graduate School of Health Sciences, Istanbul Medipol University, 34810 Istanbul, Turkey; (E.Ü.); (R.D.); (İ.Y.); (E.B.)
- Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, 34810 Istanbul, Turkey
- Department of Biophysics, School of Medicine, Istanbul Medipol University, 34810 Istanbul, Turkey
| | - Ömer Ceran
- Department of Pediatrics, School of Medicine, Istanbul Medipol University, 34810 Istanbul, Turkey;
| | - Bahar Güntekin
- Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, 34810 Istanbul, Turkey
- Department of Biophysics, School of Medicine, Istanbul Medipol University, 34810 Istanbul, Turkey
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45
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Malloggi E, Zelič Ž, Santarcangelo EL. The Role of Interoceptive Sensitivity and Hypnotizability in Motor Imagery. Brain Sci 2024; 14:832. [PMID: 39199523 PMCID: PMC11353101 DOI: 10.3390/brainsci14080832] [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: 06/30/2024] [Revised: 08/11/2024] [Accepted: 08/17/2024] [Indexed: 09/01/2024] Open
Abstract
Motor imagery (MI) requires the mental representation of the body, obtained by integrating exteroceptive and interoceptive information. This study aimed to investigate the role of interoceptive sensitivity (IS) in MI performed through visual and kinesthetic modalities by participants with low (lows, N = 26; SHSS: A, M + SD: 1.00 + 1.52), medium (mediums, N = 11; SHSS: A, 6.00 + 0.77) and high hypnotizability scores (highs, N = 16; SHSS:A, 9.75 + 1.24), as measured by the Stanford Hypnotic Susceptibility Scale: Form A. The three groups displayed different MI abilities and IS levels. The efficacy of MI was measured using the chronometric index and self-reported experience, while IS was measured using the Multidimensional Assessment of Interoceptive Awareness (MAIA) questionnaire. Alpha and beta power spectrum densities (PSDs) were extracted from the EEG signals acquired during baseline, actual movement and visually and kinesthetically imagined movements. The chronometric indices do not reveal significant differences between groups and imagery modalities. The self-report MI efficacy indicates better kinesthetic imagery in highs and mediums than in lows, and no modality difference among lows. The MAIA dimensions sustain the differences in subjective experience and almost all the EEG differences. The latter are slightly different in highs, mediums and lows. This is the first report of the major role played by IS in MI and strongly supports the theory of embodied cognition.
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Affiliation(s)
- Eleonora Malloggi
- Department of Physics, University of Trento, 38122 Trento, Italy; (E.M.); (Ž.Z.)
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 31, 56127 Pisa, Italy
| | - Žan Zelič
- Department of Physics, University of Trento, 38122 Trento, Italy; (E.M.); (Ž.Z.)
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 31, 56127 Pisa, Italy
| | - Enrica Laura Santarcangelo
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 31, 56127 Pisa, Italy
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46
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Peng J, Zikereya T, Shao Z, Shi K. The neuromechanical of Beta-band corticomuscular coupling within the human motor system. Front Neurosci 2024; 18:1441002. [PMID: 39211436 PMCID: PMC11358111 DOI: 10.3389/fnins.2024.1441002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/26/2024] [Indexed: 09/04/2024] Open
Abstract
Beta-band activity in the sensorimotor cortex is considered a potential biomarker for evaluating motor functions. The intricate connection between the brain and muscle (corticomuscular coherence), especially in beta band, was found to be modulated by multiple motor demands. This coherence also showed abnormality in motion-related disorders. However, although there has been a substantial accumulation of experimental evidence, the neural mechanisms underlie corticomuscular coupling in beta band are not yet fully clear, and some are still a matter of controversy. In this review, we summarized the findings on the impact of Beta-band corticomuscular coherence to multiple conditions (sports, exercise training, injury recovery, human functional restoration, neurodegenerative diseases, age-related changes, cognitive functions, pain and fatigue, and clinical applications), and pointed out several future directions for the scientific questions currently unsolved. In conclusion, an in-depth study of Beta-band corticomuscular coupling not only elucidates the neural mechanisms of motor control but also offers new insights and methodologies for the diagnosis and treatment of motor rehabilitation and related disorders. Understanding these mechanisms can lead to personalized neuromodulation strategies and real-time neurofeedback systems, optimizing interventions based on individual neurophysiological profiles. This personalized approach has the potential to significantly improve therapeutic outcomes and athletic performance by addressing the unique needs of each individual.
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Affiliation(s)
| | | | | | - Kaixuan Shi
- Physical Education Department, China University of Geosciences Beijing, Beijing, China
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47
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Zhang L, Bao K, Liao Y. Enhanced Post-Movement Beta Rebound: Unraveling the Impact of Preplanned Sequential Actions. J Mot Behav 2024; 56:727-737. [PMID: 39138969 DOI: 10.1080/00222895.2024.2384886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 07/16/2024] [Accepted: 07/20/2024] [Indexed: 08/15/2024]
Abstract
The Post-Movement Beta Rebound (PMBR) is the increase in beta-band power after voluntary movement ends, but its specific role in cognitive processing is unclear. Current theory links PMBR with updates to internal models, mental frameworks that help anticipate and react to sensory feedback. However, research has not explored how reactivating a preexisting action plan, another source for internal model updates, might affect PMBR intensity. To address this gap, we recruited 20 participants (mean age 18.55 ± 0.51; 12 females) for an experiment involving isolated (single-step) or sequential (two-step) motor tasks based on predetermined cues. We compared PMBR after single-step movements with PMBR after the first movement in two-step tasks to assess the influence of a subsequent action on the PMBR power associated with the first action. The results show a significant increase in PMBR magnitude after the first movement in sequential tasks compared to the second action and the isolated movements. Notably, this increase is more pronounced for right-hand movements, suggesting lateralized brain activity in the left hemisphere. These findings indicate that PMBR is influenced not only by external stimuli but also by internal cognitive processes such as working memory. This insight enhances our understanding of PMBR's role in motor control, emphasizing the integration of both external and internal information.
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Affiliation(s)
- Lingli Zhang
- School of Education, Soochow University, Suzhou, Jiangsu, China
| | - Kaige Bao
- School of Education, Soochow University, Suzhou, Jiangsu, China
| | - Yu Liao
- School of Education, Soochow University, Suzhou, Jiangsu, China
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48
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Meijs H, Luykx JJ, van der Vinne N, Breteler R, Gordon E, Sack AT, van Dijk H, Arns M. A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00237-4. [PMID: 39142534 DOI: 10.1016/j.bpsc.2024.07.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/19/2024] [Accepted: 07/25/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensions within domains that cut across these psychiatric diagnoses. The overall aim of RDoC is to better understand mental illness in terms of dysfunction in fundamental neurobiological and behavioral systems, leading to better diagnosis, prevention and treatment. METHODS A unique electroencephalographic (EEG) feature, referred to as spindling excessive beta (SEB), has been studied in relation to impulse control and sleep, as part of the arousal/regulatory systems RDoC domain. Here, we study EEG frontal beta activity as a potential transdiagnostic biomarker capable of diagnosing and predicting impulse control and sleep problems. RESULTS We show in the first dataset (n=3279) that the probability of having SEB, classified by a deep learning algorithm, is associated with poor sleep maintenance and low daytime impulse control. Furthermore, in two additional, independent datasets (iSPOT-A, n=336; iSPOT-D, n=1008), we revealed that conventional frontocentral beta power and/or SEB probability, referred to as Brainmarker-III, is associated with a diagnosis of attention deficit hyperactivity disorder (ADHD), with remission to methylphenidate in children with ADHD in a sex-specific manner, and with remission to antidepressant medication in adults with a major depressive disorder in a drug-specific manner. CONCLUSION Our results demonstrate the value of the RDoC approach in psychiatry research for the discovery of biomarkers with diagnostic and treatment prediction capacities.
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Affiliation(s)
- Hannah Meijs
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
| | - Jurjen J Luykx
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Rien Breteler
- Department of Clinical Psychology, Faculty of Social Sciences, Radboud University, Nijmegen, The Netherlands
| | | | - Alexander T Sack
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Hanneke van Dijk
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Synaeda Research, Drachten, The Netherlands
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Stanford Brain Stimulation Lab, Stanford University, Palo Alto, USA
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49
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Li X, Qu X, Shi K, Yang Y, Sun J. Physical exercise for brain plasticity promotion an overview of the underlying oscillatory mechanism. Front Neurosci 2024; 18:1440975. [PMID: 39176382 PMCID: PMC11338794 DOI: 10.3389/fnins.2024.1440975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/26/2024] [Indexed: 08/24/2024] Open
Abstract
The global recognition of the importance of physical exercise (PE) for human health has resulted in increased research on its effects on cortical activity. Neural oscillations, which are prominent features of brain activity, serve as crucial indicators for studying the effects of PE on brain function. Existing studies support the idea that PE modifies various types of neural oscillations. While EEG-related literature in exercise science exists, a comprehensive review of the effects of exercise specifically in healthy populations has not yet been conducted. Given the demonstrated influence of exercise on neural plasticity, particularly cortical oscillatory activity, it is imperative to consolidate research on this phenomenon. Therefore, this review aims to summarize numerous PE studies on neuromodulatory mechanisms in the brain over the past decade, covering (1) effects of resistance and aerobic training on brain health via neural oscillations; (2) how mind-body exercise affects human neural activity and cognitive functioning; (3) age-Related effects of PE on brain health and neurodegenerative disease rehabilitation via neural oscillation mechanisms; and (4) conclusion and future direction. In conclusion, the effect of PE on cortical activity is a multifaceted process, and this review seeks to comprehensively examine and summarize existing studies' understanding of how PE regulates neural activity in the brain, providing a more scientific theoretical foundation for the development of personalized PE programs and further research.
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Affiliation(s)
| | | | - Kaixuan Shi
- Physical Education Department, China University of Geosciences Beijing, Beijing, China
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Ter Horst J, Boillot M, Cohen MX, Englitz B. Decreased Beta Power and OFC-STN Phase Synchronization during Reactive Stopping in Freely Behaving Rats. J Neurosci 2024; 44:e0463242024. [PMID: 38866485 PMCID: PMC11308328 DOI: 10.1523/jneurosci.0463-24.2024] [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: 02/22/2024] [Revised: 04/30/2024] [Accepted: 05/24/2024] [Indexed: 06/14/2024] Open
Abstract
During natural behavior, an action often needs to be suddenly stopped in response to an unexpected sensory input-referred to as reactive stopping. Reactive stopping has been mostly investigated in humans, which led to hypotheses about the involvement of different brain structures, in particular the hyperdirect pathway. Here, we directly investigate the contribution and interaction of two key regions of the hyperdirect pathway, the orbitofrontal cortex (OFC) and subthalamic nucleus (STN), using dual-area, multielectrode recordings in male rats performing a stop-signal task. In this task, rats have to initiate movement to a go-signal, and occasionally stop their movement to the go-signal side after a stop-signal, presented at various stop-signal delays. Both the OFC and STN show near-simultaneous field potential reductions in the beta frequency range (12-30 Hz) compared with the period preceding the go-signal and the movement period. These transient reductions (∼200 ms) only happen during reactive stopping, which is when the stop-signal was received after action initiation, and are well timed after stop-signal onset and before the estimated time of stopping. Phase synchronization analysis also showed a transient attenuation of synchronization between the OFC and STN in the beta range during reactive stopping. The present results provide the first direct quantification of local neural oscillatory activity in the OFC and STN and interareal synchronization specifically timed during reactive stopping.
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Affiliation(s)
- Jordi Ter Horst
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen 6525 EN, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
| | - Morgane Boillot
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen 6525 EN, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
| | - Michael X Cohen
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen 6525 EN, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
| | - Bernhard Englitz
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
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