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Marshall S, Jeyarajan G, Hayhow N, Gabiazon R, Seleem T, Hammerstrom MR, Krigolson O, Nagamatsu LS. Cortical activation among young adults during mobility in an indoor real-world environment: A mobile EEG approach. Neuropsychologia 2024; 203:108971. [PMID: 39128610 DOI: 10.1016/j.neuropsychologia.2024.108971] [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: 02/20/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 08/13/2024]
Abstract
Human mobility requires neurocognitive inputs to safely navigate the environment. Previous research has examined neural processes that underly walking using mobile neuroimaging technologies, yet few studies have incorporated true real-world methods without a specific task imposed on participants (e.g., dual-task, motor demands). The present study included 40 young adults (M = 22.60, SD = 2.63, 24 female) and utilized mobile electroencephalography (EEG) to examine and compare theta, alpha, and beta frequency band power (μV2) during sitting and walking in laboratory and real-world environments. EEG data was recorded using the Muse S brain sensing headband, a portable system equipped with four electrodes (two frontal, two temporal) and one reference sensor. Qualitative data detailing the thoughts of each participant were collected after each condition. For the quantitative data, a 2 × 2 repeated measures ANOVA with within subject factors of environment and mobility was conducted with full participant datasets (n = 17, M = 22.59, SD = 2.97, 10 female). Thematic analysis was performed on the qualitative data (n = 40). Our findings support that mobility and environment may modulate neural activity, as we observed increased brain activation for walking compared to sitting, and for real-world walking compared to laboratory walking. We identified five qualitative themes across the four conditions 1) physical sensations and bodily awareness, 2) responsibilities and planning, 3) environmental awareness, 4) mobility, and 5) spotlight effect. Our study highlights the importance and potential for real-world methods to supplement standard research practices to increase the ecological validity of studies conducted in the fields of neuroscience and kinesiology.
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Affiliation(s)
- Samantha Marshall
- Faculty of Health Sciences, School of Kinesiology, Western University, Ontario, Canada.
| | - Gianna Jeyarajan
- Faculty of Health Sciences, School of Kinesiology, Western University, Ontario, Canada
| | - Nicholas Hayhow
- Faculty of Health Sciences, School of Kinesiology, Western University, Ontario, Canada
| | - Raphael Gabiazon
- Graduate Program in Neuroscience, Schulich School of Medicine and Dentistry, Western University, Ontario, Canada
| | - Tia Seleem
- Faculty of Health Sciences, School of Kinesiology, Western University, Ontario, Canada
| | - Mathew R Hammerstrom
- Department of Exercise Science, Physical and Health Education, University of Victoria, British Columbia, Canada
| | - Olav Krigolson
- Department of Exercise Science, Physical and Health Education, University of Victoria, British Columbia, Canada
| | - Lindsay S Nagamatsu
- Faculty of Health Sciences, School of Kinesiology, Western University, Ontario, Canada
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2
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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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3
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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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4
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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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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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Morales-Torres R, Hovhannisyan M, Gamboa Arana OL, Dannhauer M, McAllister ML, Roberts K, Li Y, Peterchev AV, Woldorff MG, Davis SW. Using Dual-Coil TMS-EEG to Probe Bilateral Brain Mechanisms in Healthy Aging and Mild Cognitive Impairment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.23.609391. [PMID: 39253437 PMCID: PMC11383034 DOI: 10.1101/2024.08.23.609391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Background A widespread observation in the cognitive neuroscience of aging is that older adults show a more bilateral pattern of task-related brain activation. These observations are based on inherently correlational approaches. The current study represents a targeted assessment of the role of bilaterality using repetitive transcranial magnetic stimulation (rTMS). Objective We used a novel bilateral TMS-stimulation paradigm, applied to a group of healthy older adults (hOA) and older adults with mild cognitive impairment (MCI), with two aims: First, to elucidate the neurophysiological effects of bilateral neuromodulation, and second to provide insight into the neurophysiological basis of bilateral brain interactions. Methods Electroencephalography (EEG) was recorded while participants received six forms of transcranial magnetic stimulation (TMS): unilateral and bilateral rTMS trains at an alpha (8 Hz) and beta (18 Hz) frequency, as well as two sham conditions (unilateral, bilateral) mimicking the sounds of TMS. Results First, time-frequency analyses of oscillatory power induced by TMS revealed that unilateral beta rTMS elicited rhythmic entrainment of cortical oscillations at the same beta-band frequency. Second, both bilateral alpha and bilateral beta stimulation induced a widespread reduction of alpha power. Lastly, healthy older adults showed greater TMS-related reductions in alpha power in response to bilateral rTMS compared to the MCI cohort. Conclusion Overall, these results demonstrate frequency-specific responses to bilateral rTMS in the aging brain, and provide support for inhibitory models of hemispheric interaction across multiple frequency bands.
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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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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 DOI: 10.1016/j.nbd.2024.106643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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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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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10
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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 2024:10.3758/s13415-024-01208-6. [PMID: 39147929 DOI: 10.3758/s13415-024-01208-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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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11
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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 2024:1-11. [PMID: 39138969 DOI: 10.1080/00222895.2024.2384886] [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: 01/09/2024] [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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Alanazi FI, Bravo CAR, Moreno JSS, Botero-Posada LF, Ladino LD, Rios ALL, Hutchison WD. Modulation of neuronal activity in human centromedian nucleus during an auditory attention and working memory task. Neuroimage 2024; 296:120686. [PMID: 38871037 DOI: 10.1016/j.neuroimage.2024.120686] [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: 04/11/2024] [Revised: 06/08/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
Centromedian nucleus (CM) is one of several intralaminar nuclei of the thalamus and is thought to be involved in consciousness, arousal, and attention. CM has been suggested to play a key role in the control of attention, by regulating the flow of information to different brain regions such as the ascending reticular system, basal ganglia, and cortex. While the neurophysiology of attention in visual and auditory systems has been studied in animal models, combined single unit and LFP recordings in human have not, to our knowledge, been reported. Here, we recorded neuronal activity in the CM nucleus in 11 patients prior to insertion of deep brain stimulation electrodes for the treatment of epilepsy while subjects performed an auditory attention task. Patients were requested to attend and count the infrequent (p = 0.2) odd or "deviant" tones, ignore the frequent standard tones and report the total number of deviant tones at trial completion. Spikes were discriminated, and LFPs were band pass filtered (5-45 Hz). Average peri‑stimulus time histograms and spectra were constructed by aligning on tone onsets and statistically compared. The firing rate of CM neurons showed selective, multi-phasic responses to deviant tones in 81% of the tested neurons. Local field potential analysis showed selective beta and low gamma (13-45 Hz) modulations in response to deviant tones, also in a multi-phasic pattern. The current study demonstrates that CM neurons are under top-down control and participate in the selective processing during auditory attention and working memory. These results, taken together, implicate the CM in selective auditory attention and working memory and support a role of beta and low gamma oscillatory activity in cognitive processes. It also has potential implications for DBS therapy for epilepsy and non-motor symptoms of PD, such as apathy and other disorders of attention.
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Affiliation(s)
- Frhan I Alanazi
- Department of Physiology, University of Toronto, Canada; Krembil Brain Institute, Leonard St, Toronto Ontario, Canada; Department of Basic Sciences, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, Kingdom of Saudi Arabia.
| | | | - Juan Sebastián Saavedra Moreno
- Hospital Universitario San Vicente Fundación, Medellín, Colombia; Hospital San Vicente Fundación, Rionegro, Colombia; Department of Neurology, University of Antioquia, Medellín, Colombia
| | - Luis Fernando Botero-Posada
- Hospital Universitario San Vicente Fundación, Medellín, Colombia; Hospital San Vicente Fundación, Rionegro, Colombia
| | - Lady Diana Ladino
- Hospital Universitario San Vicente Fundación, Medellín, Colombia; Hospital San Vicente Fundación, Rionegro, Colombia; Department of Neurology, University of Antioquia, Medellín, Colombia
| | - Adriana Lucia Lopez Rios
- Hospital Universitario San Vicente Fundación, Medellín, Colombia; Hospital San Vicente Fundación, Rionegro, Colombia
| | - William D Hutchison
- Department of Physiology, University of Toronto, Canada; Krembil Brain Institute, Leonard St, Toronto Ontario, Canada; Hospital San Vicente Fundación, Rionegro, Colombia; Department of Surgery, University of Toronto, Canada
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13
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Ameen MS, Petzka M, Peigneux P, Hoedlmoser K. Post-training sleep modulates motor adaptation and task-related beta oscillations. J Sleep Res 2024; 33:e14082. [PMID: 37950689 DOI: 10.1111/jsr.14082] [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: 07/22/2023] [Revised: 10/04/2023] [Accepted: 10/12/2023] [Indexed: 11/13/2023]
Abstract
Motor adaptation reflects the ability of the brain's sensorimotor system to flexibly deal with environmental changes to generate effective motor behaviour. Whether sleep contributes to the consolidation of motor adaptation remains controversial. In this study, we investigated the impact of sleep on motor adaptation and its neurophysiological correlates in a novel motor adaptation task that leverages a highly automatised motor skill, that is, typing. We hypothesised that sleep-associated memory consolidation would benefit motor adaptation and induce modulations in task-related beta band (13-30 Hz) activity during adaptation. Healthy young male experts in typing on the regular computer keyboard were trained to type on a vertically mirrored keyboard while brain activity was recorded using electroencephalography. Typing performance was assessed either after a full night of sleep with polysomnography or a similar period of daytime wakefulness. Results showed improved motor adaptation performance after nocturnal sleep but not after daytime wakefulness, and decreased beta power: (a) during mirrored typing as compared with regular typing; and (b) in the post-sleep versus the pre-sleep mirrored typing sessions. Furthermore, the slope of the electroencephalography signal, a measure of aperiodic brain activity, decreased during mirrored as compared with regular typing. Changes in the electroencephalography spectral slope from pre- to post-sleep mirrored typing sessions were correlated with changes in task performance. Finally, increased fast sleep spindle density (13-15 Hz) during the night following motor adaptation training was predictive of successful motor adaptation. These findings suggest that post-training sleep modulates neural activity supporting adaptive motor functions.
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Affiliation(s)
- Mohamed S Ameen
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Salzburg, Austria
| | - Marit Petzka
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany
- Institute of Psychology, University of Hamburg, Hamburg, Germany
| | - Philippe Peigneux
- UR2NF, Neuropsychology and Functional Neuroimaging Research Unit at CRCN-Center for Research in Cognition and Neurosciences, UNI-ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Kerstin Hoedlmoser
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Salzburg, Austria
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14
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Zalasky NA, Luo F, Kim LH, Noor MS, Brown EC, Arantes AP, Ramasubbu R, Gruber AJ, Kiss ZHT, Clark DL. Integration of valence and conflict processing through cellular-field interactions in human subgenual cingulate during emotional face processing in treatment-resistant depression. Mol Psychiatry 2024:10.1038/s41380-024-02667-6. [PMID: 39030263 DOI: 10.1038/s41380-024-02667-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/21/2024]
Abstract
The subgenual anterior cingulate cortex (sgACC) has been identified as a key brain area involved in various cognitive and emotional processes. While the sgACC has been implicated in both emotional valuation and emotional conflict monitoring, it is still unclear how this area integrates multiple functions. We characterized both single neuron and local field oscillatory activity in 14 patients undergoing sgACC deep brain stimulation for treatment-resistant depression. During recording, patients were presented with a modified Stroop task containing emotional face images that varied in valence and congruence. We further analyzed spike-field interactions to understand how network dynamics influence single neuron activity in this area. Most single neurons responded to both valence and congruence, revealing that sgACC neuronal activity can encode multiple processes within the same task, indicative of multifunctionality. During peak neuronal response, we observed increased spectral power in low frequency oscillations, including theta-band synchronization (4-8 Hz), as well as desynchronization in beta-band frequencies (13-30 Hz). Theta activity was modulated by current trial congruency with greater increases in spectral power following non-congruent stimuli, while beta desynchronizations occurred regardless of emotional valence. Spike-field interactions revealed that local sgACC spiking was phase-locked most prominently to the beta band, whereas phase-locking to the theta band occurred in fewer neurons overall but was modulated more strongly for neurons that were responsive to task. Our findings provide the first direct evidence of spike-field interactions relating to emotional cognitive processing in the human sgACC. Furthermore, we directly related theta oscillatory dynamics in human sgACC to current trial congruency, demonstrating it as an important regulator during conflict detection. Our data endorse the sgACC as an integrative hub for cognitive emotional processing through modulation of beta and theta network activity.
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Affiliation(s)
- Nicole A Zalasky
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Feng Luo
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Linda H Kim
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - M Sohail Noor
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Elliot C Brown
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Ana P Arantes
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Rajamannar Ramasubbu
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Aaron J Gruber
- Canadian Centre for Behavioural Neuroscience, Department of Neuroscience, University of Lethbridge, Lethbridge, Canada
| | - Zelma H T Kiss
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
- Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada.
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada.
| | - Darren L Clark
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
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15
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Saravanapandian V, Madani M, Nichols I, Vincent S, Dover M, Dikeman D, Philpot BD, Takumi T, Colwell CS, Jeste S, Paul KN, Golshani P. Sleep EEG signatures in mouse models of 15q11.2-13.1 duplication (Dup15q) syndrome. J Neurodev Disord 2024; 16:39. [PMID: 39014349 PMCID: PMC11251350 DOI: 10.1186/s11689-024-09556-7] [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: 02/29/2024] [Accepted: 07/02/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Sleep disturbances are a prevalent and complex comorbidity in neurodevelopmental disorders (NDDs). Dup15q syndrome (duplications of 15q11.2-13.1) is a genetic disorder highly penetrant for NDDs such as autism and intellectual disability and it is frequently accompanied by significant disruptions in sleep patterns. The 15q critical region harbors genes crucial for brain development, notably UBE3A and a cluster of gamma-aminobutyric acid type A receptor (GABAAR) genes. We previously described an electrophysiological biomarker of the syndrome, marked by heightened beta oscillations (12-30 Hz) in individuals with Dup15q syndrome, akin to electroencephalogram (EEG) alterations induced by allosteric modulation of GABAARs. Those with Dup15q syndrome exhibited increased beta oscillations during the awake resting state and during sleep, and they showed profoundly abnormal NREM sleep. This study aims to assess the translational validity of these EEG signatures and to delve into their neurobiological underpinnings by quantifying sleep physiology in chromosome-engineered mice with maternal (matDp/ + mice) or paternal (patDp/ + mice) inheritance of the full 15q11.2-13.1-equivalent duplication, and mice with duplication of just the UBE3A gene (Ube3a overexpression mice; Ube3a OE mice) and comparing the sleep metrics with their respective wildtype (WT) littermate controls. METHODS We collected 48-h EEG/EMG recordings from 35 (23 male, 12 female) 12-24-week-old matDp/ + , patDp/ + , Ube3a OE mice, and their WT littermate controls. We quantified baseline sleep, sleep fragmentation, spectral power dynamics during sleep states, and recovery following sleep deprivation. Within each group, distinctions between Dup15q mutant mice and WT littermate controls were evaluated using analysis of variance (ANOVA) and student's t-test. The impact of genotype and time was discerned through repeated measures ANOVA, and significance was established at p < 0.05. RESULTS Our study revealed that across brain states, matDp/ + mice mirrored the elevated beta oscillation phenotype observed in clinical EEGs from individuals with Dup15q syndrome. Time to sleep onset after light onset was significantly reduced in matDp/ + and Ube3a OE mice. However, NREM sleep between Dup15q mutant and WT littermate mice remained unaltered, suggesting a divergence from the clinical presentation in humans. Additionally, while increased beta oscillations persisted in matDp/ + mice after 6-h of sleep deprivation, recovery NREM sleep remained unaltered in all groups, thus suggesting that these mice exhibit resilience in the fundamental processes governing sleep-wake regulation. CONCLUSIONS Quantification of mechanistic and translatable EEG biomarkers is essential for advancing our understanding of NDDs and their underlying pathophysiology. Our study of sleep physiology in the Dup15q mice underscores that the beta EEG biomarker has strong translational validity, thus opening the door for pre-clinical studies of putative drug targets, using the biomarker as a translational measure of drug-target engagement. The unaltered NREM sleep may be due to inherent differences in neurobiology between mice and humans. These nuanced distinctions highlight the complexity of sleep disruptions in Dup15q syndrome and emphasize the need for a comprehensive understanding that encompasses both shared and distinct features between murine models and clinical populations.
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Affiliation(s)
- Vidya Saravanapandian
- Department of Neurology and Semel Institute for Neuroscience, David Geffen School of Medicine, 710 Westwood Plaza, Los Angeles, CA, 90095, USA.
| | - Melika Madani
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - India Nichols
- Department of Biology, Spelman College, 350 Spelman Lane, Atlanta, GA, 30314, USA
| | - Scott Vincent
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Mary Dover
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Dante Dikeman
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Benjamin D Philpot
- Neuroscience Center, Department of Cell Biology and Physiology, and the Carolina Institute for Developmental Disabilities, UNC-Chapel Hill, NC, 27599, USA
| | - Toru Takumi
- Kobe University School of Medicine, Chuo, Kobe, 650-0017, Japan
| | - Christopher S Colwell
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Shafali Jeste
- Children's Hospital Los Angeles, 4650 Sunset Blvd, MS 82, Los Angeles, CA, 90027, USA
| | - Ketema N Paul
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Peyman Golshani
- Department of Neurology and Semel Institute for Neuroscience, David Geffen School of Medicine, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
- West Los Angeles VA Medical Center, 11301 Wilshire Blvd, Los Angeles, CA, 90073, USA
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16
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Edalati M, Wallois F, Ghostine G, Kongolo G, Trainor LJ, Moghimi S. Neural oscillations suggest periodicity encoding during auditory beat processing in the premature brain. Dev Sci 2024:e13550. [PMID: 39010656 DOI: 10.1111/desc.13550] [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: 08/21/2023] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/17/2024]
Abstract
When exposed to rhythmic patterns with temporal regularity, adults exhibit an inherent ability to extract and anticipate an underlying sequence of regularly spaced beats, which is internally constructed, as beats are experienced even when no events occur at beat positions (e.g., in the case of rests). Perception of rhythm and synchronization to periodicity is indispensable for development of cognitive functions, social interaction, and adaptive behavior. We evaluated neural oscillatory activity in premature newborns (n = 19, mean age, 32 ± 2.59 weeks gestational age) during exposure to an auditory rhythmic sequence, aiming to identify early traces of periodicity encoding and rhythm processing through entrainment of neural oscillations at this stage of neurodevelopment. The rhythmic sequence elicited a systematic modulation of alpha power, synchronized to expected beat locations coinciding with both tones and rests, and independent of whether the beat was preceded by tone or rest. In addition, the periodic alpha-band fluctuations reached maximal power slightly before the corresponding beat onset times. Together, our results show neural encoding of periodicity in the premature brain involving neural oscillations in the alpha range that are much faster than the beat tempo, through alignment of alpha power to the beat tempo, consistent with observations in adults on predictive processing of temporal regularities in auditory rhythms. RESEARCH HIGHLIGHTS: In response to the presented rhythmic pattern, systematic modulations of alpha power showed that the premature brain extracted the temporal regularity of the underlying beat. In contrast to evoked potentials, which are greatly reduced when there is no sounds event, the modulation of alpha power occurred for beats coinciding with both tones and rests in a predictive way. The findings provide the first evidence for the neural coding of periodicity in auditory rhythm perception before the age of term.
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Affiliation(s)
- Mohammadreza Edalati
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Fabrice Wallois
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
- Inserm UMR1105, EFSN Pédiatriques, Amiens University Hospital, Amiens Cedex, France
| | - Ghida Ghostine
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Guy Kongolo
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Laurel J Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
- McMaster Institute for Music and the Mind, McMaster University, Hamilton, Ontario, Canada
- Rotman Research Institute, Baycrest Hospital, Toronto, Ontario, Canada
| | - Sahar Moghimi
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
- Inserm UMR1105, EFSN Pédiatriques, Amiens University Hospital, Amiens Cedex, France
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17
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Lee TW, Tramontano G. Neural consequences of 5-Hz transcranial alternating current stimulation over right hemisphere: An eLORETA EEG study. Neurosci Lett 2024; 835:137849. [PMID: 38825146 DOI: 10.1016/j.neulet.2024.137849] [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: 02/22/2024] [Revised: 05/06/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
INTRODUCTION Transcranial alternating current stimulation (tACS) at 5-Hz to the right hemisphere can effectively alleviate anxiety symptoms. This study aimed to explore the neural mechanisms that drive the therapeutic benefits. METHODS We collected electroencephalography (EEG) data from 24 participants with anxiety disorders before and after a tACS treatment session. tACS was applied over the right hemisphere, with 1.0 mA at F4, 1.0 mA at P4, and 2.0 mA at T8 (10-10 EEG convention). With eLORETA, we transformed the scalp signals into the current source density in the cortex. We then assessed the differences between post- and pre-treatment brain maps across multiple spectra (delta to low gamma) with non-parametric statistics. RESULTS We observed a trend of heightened power in alpha and reduced power in mid-to-high beta and low gamma, in accord with the EEG markers of anxiolytic effects reported in previous studies. Additionally, we observed a consistent trend of de-synchronization at the stimulating sites across spectra. CONCLUSION tACS 5-Hz over the right hemisphere demonstrated EEG markers of anxiety reduction. The after-effects of tACS on the brain are intricate and cannot be explained solely by the widely circulated entrainment theory. Rather, our results support the involvement of plasticity mechanisms in the offline effects of tACS.
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Affiliation(s)
- Tien-Wen Lee
- The NeuroCognitive Institute (NCI) Clinical Research Foundation, NJ 07856, USA
| | - Gerald Tramontano
- The NeuroCognitive Institute (NCI) Clinical Research Foundation, NJ 07856, USA.
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18
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Wilkinson CL, Yankowitz LD, Chao JY, Gutiérrez R, Rhoades JL, Shinnar S, Purdon PL, Nelson CA. Developmental trajectories of EEG aperiodic and periodic components in children 2-44 months of age. Nat Commun 2024; 15:5788. [PMID: 38987558 PMCID: PMC11237135 DOI: 10.1038/s41467-024-50204-4] [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: 08/11/2023] [Accepted: 07/02/2024] [Indexed: 07/12/2024] Open
Abstract
The development of neural circuits has long-lasting effects on brain function, yet our understanding of early circuit development in humans remains limited. Here, periodic EEG power features and aperiodic components were examined from longitudinal EEGs collected from 592 healthy 2-44 month-old infants, revealing age-dependent nonlinear changes suggestive of distinct milestones in early brain maturation. Developmental changes in periodic peaks include (1) the presence and then absence of a 9-10 Hz alpha peak between 2-6 months, (2) nonlinear changes in high beta peaks (20-30 Hz) between 4-18 months, and (3) the emergence of a low beta peak (12-20 Hz) in some infants after six months of age. We hypothesized that the emergence of the low beta peak may reflect maturation of thalamocortical network development. Infant anesthesia studies observe that GABA-modulating anesthetics do not induce thalamocortical mediated frontal alpha coherence until 10-12 months of age. Using a small cohort of infants (n = 23) with EEG before and during GABA-modulating anesthesia, we provide preliminary evidence that infants with a low beta peak have higher anesthesia-induced alpha coherence compared to those without a low beta peak.
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Affiliation(s)
- Carol L Wilkinson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Lisa D Yankowitz
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rodrigo Gutiérrez
- Departamento de Anestesia y Medicina Perioperatoria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jeff L Rhoades
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Program in Neuroscience, Division of Medical Sciences, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Shlomo Shinnar
- The Saul R. Korey Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patrick L Purdon
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
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19
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Wilken S, Böttcher A, Adelhöfer N, Raab M, Beste C, Hoffmann S. Neural oscillations guiding action during effects imagery. Behav Brain Res 2024; 469:115063. [PMID: 38777262 DOI: 10.1016/j.bbr.2024.115063] [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: 12/19/2023] [Revised: 05/02/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
Goal-directed acting requires the integration of sensory information but can also be performed without direct sensory input. Examples of this can be found in sports and can be conceptualized by feedforward processes. There is, however, still a lack of understanding of the temporal neural dynamics and neuroanatomical structures involved in such processes. In the current study, we used EEG beamforming methods and examined 37 healthy participants in two well-controlled experiments varying the necessity of anticipatory processes during goal-directed action. We found that alpha and beta activity in the medial and posterior cingulate cortex enabled feedforward predictions about the position of an object based on the latest sensorimotor state. On this basis, theta band activity seems more related to sensorimotor representations, while beta band activity would be more involved in setting up the structure of the neural representations themselves. Alpha band activity in sensory cortices reflects an intensified gating of the anticipated perceptual consequences of the to-be-executed action. Together, the findings indicate that goal-directed acting through the anticipation of the predicted state of an effector is based on accompanying processes in multiple frequency bands in midcingulate and sensory brain regions.
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Affiliation(s)
- Saskia Wilken
- General Psychology: Judgment, Decision Making, & Action, Institute of Psychology, University of Hagen, Hagen, Germany
| | - Adriana Böttcher
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany; University Neuropsychology Center, Faculty of Medicine, TU Dresden, Germany
| | - Nico Adelhöfer
- Donders Institute of Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Markus Raab
- Performance Psychology, Institute of Psychology, German Sport University Cologne, Cologne, Germany; School of Applied Sciences, London South Bank University, London, UK
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany; University Neuropsychology Center, Faculty of Medicine, TU Dresden, Germany; Shandong Normal University, Jinan, PR China
| | - Sven Hoffmann
- General Psychology: Judgment, Decision Making, & Action, Institute of Psychology, University of Hagen, Hagen, Germany.
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20
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Nan J, Grennan G, Ravichandran S, Ramanathan D, Mishra J. Neural activity during inhibitory control predicts suicidal ideation with machine learning. NPP-DIGITAL PSYCHIATRY AND NEUROSCIENCE 2024; 2:10. [PMID: 38988507 PMCID: PMC11230903 DOI: 10.1038/s44277-024-00012-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/04/2024] [Accepted: 06/04/2024] [Indexed: 07/12/2024]
Abstract
Suicide is a leading cause of death in the US and worldwide. Current strategies for preventing suicide are often focused on the identification and treatment of risk factors, especially suicidal ideation (SI). Hence, developing data-driven biomarkers of SI may be key for suicide prevention and intervention. Prior attempts at biomarker-based prediction models for SI have primarily used expensive neuroimaging technologies, yet clinically scalable and affordable biomarkers remain elusive. Here, we investigated the classification of SI using machine learning (ML) on a dataset of 76 subjects with and without SI(+/-) (n = 38 each), who completed a neuro-cognitive assessment session synchronized with electroencephalography (EEG). SI+/- groups were matched for age, sex, and mental health symptoms of depression and anxiety. EEG was recorded at rest and while subjects engaged in four cognitive tasks of inhibitory control, interference processing, working memory, and emotion bias. We parsed EEG signals in physiologically relevant theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) frequencies and performed cortical source imaging on the neural signals. These data served as SI predictors in ML models. The best ML model was obtained for beta band power during the inhibitory control (IC) task, demonstrating high sensitivity (89%), specificity (98%). Shapley explainer plots further showed top neural predictors as feedback-related power in the visual and posterior default mode networks and response-related power in the ventral attention, fronto-parietal, and sensory-motor networks. We further tested the external validity of the model in an independent clinically depressed sample (n = 35, 12 SI+) that engaged in an adaptive test version of the IC task, demonstrating 50% sensitivity and 61% specificity in this sample. Overall, the study suggests a promising, scalable EEG-based biomarker approach to predict SI that may serve as a target for risk identification and intervention.
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Affiliation(s)
- Jason Nan
- Neural Engineering and Translation Labs, University of California, San Diego, La Jolla, CA USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA USA
| | - Gillian Grennan
- Neural Engineering and Translation Labs, University of California, San Diego, La Jolla, CA USA
| | - Soumya Ravichandran
- Neural Engineering and Translation Labs, University of California, San Diego, La Jolla, CA USA
| | - Dhakshin Ramanathan
- Neural Engineering and Translation Labs, University of California, San Diego, La Jolla, CA USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
- Department of Mental Health, VA San Diego Medical Center, San Diego, CA USA
- Center of Excellence for Stress and Mental Health, VA San Diego Medical Center, San Diego, CA USA
| | - Jyoti Mishra
- Neural Engineering and Translation Labs, University of California, San Diego, La Jolla, CA USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
- Center of Excellence for Stress and Mental Health, VA San Diego Medical Center, San Diego, CA USA
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21
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Das A, Menon V. Frequency-specific directed connectivity between the hippocampus and parietal cortex during verbal and spatial episodic memory: an intracranial EEG replication. Cereb Cortex 2024; 34:bhae287. [PMID: 39042030 PMCID: PMC11264422 DOI: 10.1093/cercor/bhae287] [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: 03/14/2024] [Revised: 05/23/2024] [Indexed: 07/24/2024] Open
Abstract
Hippocampus-parietal cortex circuits are thought to play a crucial role in memory and attention, but their neural basis remains poorly understood. We employed intracranial intracranial electroencephalography (iEEG) to investigate the neurophysiological underpinning of these circuits across three memory tasks spanning verbal and spatial domains. We uncovered a consistent pattern of higher causal directed connectivity from the hippocampus to both lateral parietal cortex (supramarginal and angular gyrus) and medial parietal cortex (posterior cingulate cortex) in the delta-theta band during memory encoding and recall. This connectivity was independent of activation or suppression states in the hippocampus or parietal cortex. Crucially, directed connectivity from the supramarginal gyrus to the hippocampus was enhanced in participants with higher memory recall, highlighting its behavioral significance. Our findings align with the attention-to-memory model, which posits that attention directs cognitive resources toward pertinent information during memory formation. The robustness of these results was demonstrated through Bayesian replication analysis of the memory encoding and recall periods across the three tasks. Our study sheds light on the neural basis of casual signaling within hippocampus-parietal circuits, broadening our understanding of their critical roles in human cognition.
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Affiliation(s)
- Anup Das
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305
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22
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Popescu M, Popescu EA, DeGraba TJ, Hughes JD. Altered long-range functional connectivity in PTSD: Role of the infraslow oscillations of cortical activity amplitude envelopes. Clin Neurophysiol 2024; 163:22-36. [PMID: 38669765 DOI: 10.1016/j.clinph.2024.03.036] [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: 09/13/2023] [Revised: 02/27/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE Coupling between the amplitude envelopes (AEs) of regional cortical activity reflects mechanisms that coordinate the excitability of large-scale cortical networks. We used resting-state MEG recordings to investigate the association between alterations in the coupling of cortical AEs and symptoms of post-traumatic stress disorder (PTSD). METHODS Participants (n = 96) were service members with combat exposure and various levels of post-traumatic stress severity (PTSS). We assessed the correlation between PTSS and (1) coupling of broadband cortical AEs of beta band activity, (2) coupling of the low- (<0.5 Hz) and high-frequency (>0.5 Hz) components of the AEs, and (3) their time-varying patterns. RESULTS PTSS was associated with widespread hypoconnectivity assessed from the broadband AE fluctuations, which correlated with subscores for the negative thoughts and feelings/emotional numbing (NTF/EN) and hyperarousal clusters of symptoms. Higher NTF/EN scores were also associated with smaller increases in resting-state functional connectivity (rsFC) with time during the recordings. The distinct patterns of rsFC in PTSD were primarily due to differences in the coupling of low-frequency (infraslow) fluctuations of the AEs of beta band activity. CONCLUSIONS Our findings implicate the mechanisms underlying the regulation/coupling of infraslow oscillations in the alterations of rsFC assessed from broadband AEs and in PTSD symptomatology. SIGNIFICANCE Altered coordination of infraslow amplitude fluctuations across large-scale cortical networks can contribute to network dysfunction and may provide a target for treatment in PTSD.
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Affiliation(s)
- Mihai Popescu
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Elena-Anda Popescu
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Thomas J DeGraba
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - John D Hughes
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA; Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
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23
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Silva-Passadouro B, Tamasauskas A, Khoja O, Casson AJ, Delis I, Brown C, Sivan M. A systematic review of quantitative EEG findings in Fibromyalgia, Chronic Fatigue Syndrome and Long COVID. Clin Neurophysiol 2024; 163:209-222. [PMID: 38772083 DOI: 10.1016/j.clinph.2024.04.019] [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: 12/04/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/23/2024]
Abstract
Fibromyalgia Syndrome (FMS), Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID (LC) are similar multisymptom clinical syndromes but with difference in dominant symptoms in each individual. There is existing and emerging literature on possible functional alterations of the central nervous system in these conditions. This review aims to synthesise and appraise the literature on resting-state quantitative EEG (qEEG) in FMS, ME/CFS and LC, drawing on previous research on FMS and ME/CFS to help understand neuropathophysiology of the new condition LC. A systematic search of MEDLINE, Embase, CINHAL, PsycINFO and Web of Science databases for articles published between December 1994 and September 2023 was performed. Out of the initial 2510 studies identified, 17 articles were retrieved that met all the predetermined selection criteria, particularly of assessing qEEG changes in one of the three conditions compared to healthy controls. All studies scored moderate to high quality on the Newcastle-Ottawa scale. There was a general trend for decreased low-frequency EEG band activity (delta, theta, and alpha) and increased high-frequency EEG beta activity in FMS, differing to that found in ME/CFS. The limited LC studies included in this review focused mainly on cognitive impairments and showed mixed findings not consistent with patterns observed in FMS and ME/CFS. Our findings suggest different patterns of qEEG brainwave activity in FMS and ME/CFS. Further research is required to explore whether there are phenotypes within LC that have EEG signatures similar to FMS or ME/CFS. This could inform identification of reliable diagnostic markers and possible targets for neuromodulation therapies tailored to each clinical syndrome.
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Affiliation(s)
- Bárbara Silva-Passadouro
- Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK.
| | - Arnas Tamasauskas
- Institute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - Omar Khoja
- Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK
| | - Alexander J Casson
- Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK
| | - Ioannis Delis
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Christopher Brown
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Manoj Sivan
- Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK; National Demonstration Centre in Rehabilitation Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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24
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Lundqvist M, Miller EK, Nordmark J, Liljefors J, Herman P. Beta: bursts of cognition. Trends Cogn Sci 2024; 28:662-676. [PMID: 38658218 DOI: 10.1016/j.tics.2024.03.010] [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: 09/11/2023] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
Beta oscillations are linked to the control of goal-directed processing of sensory information and the timing of motor output. Recent evidence demonstrates they are not sustained but organized into intermittent high-power bursts mediating timely functional inhibition. This implies there is a considerable moment-to-moment variation in the neural dynamics supporting cognition. Beta bursts thus offer new opportunities for studying how sensory inputs are selectively processed, reshaped by inhibitory cognitive operations and ultimately result in motor actions. Recent method advances reveal diversity in beta bursts that provide deeper insights into their function and the underlying neural circuit activity motifs. We propose that brain-wide, spatiotemporal patterns of beta bursting reflect various cognitive operations and that their dynamics reveal nonlinear aspects of cortical processing.
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Affiliation(s)
- Mikael Lundqvist
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden; The Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Earl K Miller
- The Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jonatan Nordmark
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Johan Liljefors
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Pawel Herman
- School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden; Digital Futures, KTH Royal Institute of Technology, Stockholm, Sweden
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25
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Chen YC, Tsai YY, Huang WM, Zhao CG, Hwang IS. Cross-frequency modulation of postural fluctuations and scalp EEG in older adults: error amplification feedback for rapid balance adjustments. GeroScience 2024:10.1007/s11357-024-01258-1. [PMID: 38910193 DOI: 10.1007/s11357-024-01258-1] [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: 03/11/2024] [Accepted: 06/14/2024] [Indexed: 06/25/2024] Open
Abstract
Virtual error amplification (VEA) in visual feedback enhances attentive control over postural stability, although the neural mechanisms are still debated. This study investigated the distinct cortical control of unsteady stance in older adults using VEA through cross-frequency modulation of postural fluctuations and scalp EEG. Thirty-seven community-dwelling older adults (68.1 ± 3.6 years) maintained an upright stance on a stabilometer while receiving either VEA or real error feedback. Along with postural fluctuation dynamics, phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC) were analyzed for postural fluctuations under 2 Hz and EEG sub-bands (theta, alpha, and beta). The results revealed a higher mean frequency of the postural fluctuation phase (p = .005) and a greater root mean square of the postural fluctuation amplitude (p = .003) with VEA compared to the control condition. VEA also reduced PAC between the postural fluctuation phase and beta-band EEG in the left frontal (p = .009), sensorimotor (p = .002), and occipital (p = .018) areas. Conversely, VEA increased the AAC of posture fluctuation amplitude and beta-band EEG in FP2 (p = .027). Neither theta nor alpha band PAC or AAC were affected by VEA. VEA optimizes postural strategies in older adults during stabilometer stance by enhancing visuospatial attentive control of postural responses and facilitating the transition of motor states against postural perturbations through a disinhibitory process. Incorporating VEA into virtual reality technology is advocated as a valuable strategy for optimizing therapeutic interventions in postural therapy, particularly to mitigate the risk of falls among older adults.
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Affiliation(s)
- Yi-Ching Chen
- Department of Physical Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung City, Taiwan
- Physical Therapy Room, Chung Shan Medical University Hospital, Taichung City, Taiwan
| | - Yi-Ying Tsai
- Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan
| | - Wei-Min Huang
- Department of Management Information System, National Chung Cheng University, Chiayi, Taiwan
| | - Chen-Guang Zhao
- Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan
| | - Ing-Shiou Hwang
- Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
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26
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Prochnow A, Zhou X, Ghorbani F, Roessner V, Hommel B, Beste C. Event segmentation in ADHD: neglect of social information and deviant theta activity point to a mechanism underlying ADHD. Gen Psychiatr 2024; 37:e101486. [PMID: 38859926 PMCID: PMC11163598 DOI: 10.1136/gpsych-2023-101486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 05/08/2024] [Indexed: 06/12/2024] Open
Abstract
Background Attention-deficit/hyperactivity disorder (ADHD) is one of the most frequently diagnosed psychiatric conditions in children and adolescents. Although the symptoms appear to be well described, no coherent conceptual mechanistic framework integrates their occurrence and variance and the associated problems that people with ADHD face. Aims The current study proposes that altered event segmentation processes provide a novel mechanistic framework for understanding deficits in ADHD. Methods Adolescents with ADHD and neurotypically developing (NT) peers watched a short movie and were then asked to indicate the boundaries between meaningful segments of the movie. Concomitantly recorded electroencephalography (EEG) data were analysed for differences in frequency band activity and effective connectivity between brain areas. Results Compared with their NT peers, the ADHD group showed less dependence of their segmentation behaviour on social information, indicating that they did not consider social information to the same extent as their unaffected peers. This divergence was accompanied by differences in EEG theta band activity and a different effective connectivity network architecture at the source level. Specifically, NT adolescents primarily showed error signalling in and between the left and right fusiform gyri related to social information processing, which was not the case in the ADHD group. For the ADHD group, the inferior frontal cortex associated with attentional sampling served as a hub instead, indicating problems in the deployment of attentional control. Conclusions This study shows that adolescents with ADHD perceive events differently from their NT peers, in association with a different brain network architecture that reflects less adaptation to the situation and problems in attentional sampling of environmental information. The results call for a novel conceptual view of ADHD, based on event segmentation theory.
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Affiliation(s)
- Astrid Prochnow
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Xianzhen Zhou
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Foroogh Ghorbani
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Veit Roessner
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Bernhard Hommel
- Faculty of Psychology, Shandong Normal University, Jinan, Shandong, China
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
- Faculty of Psychology, Shandong Normal University, Jinan, Shandong, China
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27
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An WW, Bhowmik AC, Nelson CA, Wilkinson CL. Prediction of chronological age from resting-state EEG power in the first three years of life. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.31.24308275. [PMID: 38853932 PMCID: PMC11160894 DOI: 10.1101/2024.05.31.24308275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The infant brain undergoes rapid and significant developmental changes in the first three years of life. Understanding these changes through the prediction of chronological age using neuroimaging data can provide insights into typical and atypical brain development. We utilized longitudinal resting-state EEG data from 457 typically developing infants, comprising 938 recordings, to develop age prediction models. The multilayer perceptron model demonstrated the highest accuracy with an R2 of 0.82 and a mean absolute error of 92.4 days. Aperiodic offset and periodic theta, alpha, and beta power were identified as key predictors of age via Shapley values. Application of the model to EEG data from infants later diagnosed with autism spectrum disorder or Down syndrome revealed significant underestimations of chronological age. This study establishes the feasibility of using EEG to assess brain maturation in early childhood and supports its potential as a clinical tool for early identification of alterations in brain development.
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Affiliation(s)
- Winko W. An
- Developmental Medicine, Boston Children’s Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA
- Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA
| | - Aprotim C. Bhowmik
- Developmental Medicine, Boston Children’s Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA
| | - Charles A. Nelson
- Developmental Medicine, Boston Children’s Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA
- Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA
- Harvard Graduate School of Education, 13 Appian Way, Cambridge, 02138, MA, USA
| | - Carol L. Wilkinson
- Developmental Medicine, Boston Children’s Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA
- Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA
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28
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Nougaret S, López-Galdo L, Caytan E, Poitreau J, Barthélemy FV, Kilavik BE. Low and high beta rhythms have different motor cortical sources and distinct roles in movement control and spatiotemporal attention. PLoS Biol 2024; 22:e3002670. [PMID: 38917200 PMCID: PMC11198906 DOI: 10.1371/journal.pbio.3002670] [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: 10/10/2023] [Accepted: 05/08/2024] [Indexed: 06/27/2024] Open
Abstract
Low and high beta frequency rhythms were observed in the motor cortex, but their respective sources and behavioral correlates remain unknown. We studied local field potentials (LFPs) during pre-cued reaching behavior in macaques. They contained a low beta band (<20 Hz) dominant in primary motor cortex and a high beta band (>20 Hz) dominant in dorsal premotor cortex (PMd). Low beta correlated positively with reaction time (RT) from visual cue onset and negatively with uninstructed hand postural micro-movements throughout the trial. High beta reflected temporal task prediction, with selective modulations before and during cues, which were enhanced in moments of increased focal attention when the gaze was on the work area. This double-dissociation in sources and behavioral correlates of motor cortical low and high beta, with respect to both task-instructed and spontaneous behavior, reconciles the largely disparate roles proposed for the beta rhythm, by suggesting band-specific roles in both movement control and spatiotemporal attention.
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Affiliation(s)
- Simon Nougaret
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Laura López-Galdo
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Emile Caytan
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Julien Poitreau
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Frédéric V. Barthélemy
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
- Institute of Neuroscience and Medicine (INM-6), Jülich Research Centre, Jülich, Germany
| | - Bjørg Elisabeth Kilavik
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
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29
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Jensen MP, Barrett TD. The Role of Electroencephalogram-Assessed Bandwidth Power in Response to Hypnotic Analgesia. Brain Sci 2024; 14:557. [PMID: 38928559 PMCID: PMC11201437 DOI: 10.3390/brainsci14060557] [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: 02/11/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024] Open
Abstract
Research supports the efficacy of therapeutic hypnosis for reducing acute and chronic pain. However, little is known about the mechanisms underlying these effects. This paper provides a review of the evidence regarding the role that electroencephalogram-assessed bandwidth power has in identifying who might benefit the most from hypnotic analgesia and how these effects occur. Findings are discussed in terms of the slow wave hypothesis, which posits that brain activity in slower bandwidths (e.g., theta and alpha) can facilitate hypnosis responsivity. Although the extant research is limited by small sample sizes, the findings from this research are generally consistent with the slow wave hypothesis. More research, including and especially studies with larger sample sizes, is needed to confirm these preliminary positive findings.
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Affiliation(s)
- Mark P. Jensen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98195, USA;
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30
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Panagiotaropoulos TI. An integrative view of the role of prefrontal cortex in consciousness. Neuron 2024; 112:1626-1641. [PMID: 38754374 DOI: 10.1016/j.neuron.2024.04.028] [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: 03/12/2024] [Revised: 04/16/2024] [Accepted: 04/24/2024] [Indexed: 05/18/2024]
Abstract
The involvement of the prefrontal cortex (PFC) in consciousness is an ongoing focus of intense investigation. An important question is whether representations of conscious contents and experiences in the PFC are confounded by post-perceptual processes related to cognitive functions. Here, I review recent findings suggesting that neuronal representations of consciously perceived contents-in the absence of post-perceptual processes-can indeed be observed in the PFC. Slower ongoing fluctuations in the electrophysiological state of the PFC seem to control the stability and updates of these prefrontal representations of conscious awareness. In addition to conscious perception, the PFC has been shown to play a critical role in controlling the levels of consciousness as observed during anesthesia, while prefrontal lesions can result in severe loss of perceptual awareness. Together, the convergence of these processes in the PFC suggests its integrative role in consciousness and highlights the complex nature of consciousness itself.
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31
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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. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.01.24306729. [PMID: 38746335 PMCID: PMC11092732 DOI: 10.1101/2024.05.01.24306729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Down syndrome 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 cognitive-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 cognitive-matched groups, suggesting that EEG differences are not explained by delayed cognitive ability.
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32
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Coleman SC, Seedat ZA, Pakenham DO, Quinn AJ, Brookes MJ, Woolrich MW, Mullinger KJ. Post-task responses following working memory and movement are driven by transient spectral bursts with similar characteristics. Hum Brain Mapp 2024; 45:e26700. [PMID: 38726799 PMCID: PMC11082833 DOI: 10.1002/hbm.26700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 03/09/2024] [Accepted: 04/14/2024] [Indexed: 05/13/2024] Open
Abstract
The post-movement beta rebound has been studied extensively using magnetoencephalography (MEG) and is reliably modulated by various task parameters as well as illness. Our recent study showed that rebounds, which we generalise as "post-task responses" (PTRs), are a ubiquitous phenomenon in the brain, occurring across the cortex in theta, alpha, and beta bands. Currently, it is unknown whether PTRs following working memory are driven by transient bursts, which are moments of short-lived high amplitude activity, similar to those that drive the post-movement beta rebound. Here, we use three-state univariate hidden Markov models (HMMs), which can identify bursts without a priori knowledge of frequency content or response timings, to compare bursts that drive PTRs in working memory and visuomotor MEG datasets. Our results show that PTRs across working memory and visuomotor tasks are driven by pan-spectral transient bursts. These bursts have very similar spectral content variation over the cortex, correlating strongly between the two tasks in the alpha (R2 = .89) and beta (R2 = .53) bands. Bursts also have similar variation in duration over the cortex (e.g., long duration bursts occur in the motor cortex for both tasks), strongly correlating over cortical regions between tasks (R2 = .56), with a mean over all regions of around 300 ms in both datasets. Finally, we demonstrate the ability of HMMs to isolate signals of interest in MEG data, such that the HMM probability timecourse correlates more strongly with reaction times than frequency filtered power envelopes from the same brain regions. Overall, we show that induced PTRs across different tasks are driven by bursts with similar characteristics, which can be identified using HMMs. Given the similarity between bursts across tasks, we suggest that PTRs across the cortex may be driven by a common underlying neural phenomenon.
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Affiliation(s)
- Sebastian C. Coleman
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
| | - Zelekha A. Seedat
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
- Young EpilepsyLingfieldUK
| | - Daisie O. Pakenham
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
- Clinical NeurophysiologyQueen's Medical Centre, Nottingham University Hospitals NHS TrustNottinghamUK
| | - Andrew J. Quinn
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of PsychiatryUniversity of OxfordOxfordUK
- Centre for Human Brain Health, School of PsychologyUniversity of BirminghamBirminghamUK
| | - Matthew J. Brookes
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
| | - Mark W. Woolrich
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of PsychiatryUniversity of OxfordOxfordUK
| | - Karen J. Mullinger
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
- Centre for Human Brain Health, School of PsychologyUniversity of BirminghamBirminghamUK
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Domic-Siede M, Sánchez-Corzo A, Guzmán-González M. Brain oscillations during emotion regulation and the two-dimensional model of adult attachment. Biol Psychol 2024; 189:108793. [PMID: 38631550 DOI: 10.1016/j.biopsycho.2024.108793] [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: 01/07/2024] [Revised: 02/26/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
Emotion Regulation (ER) refers to the processes by which individuals influence their own emotions. It is a crucial aspect of human behavior, affecting everything from interpersonal relationships to mental health. The relationship between ER and Attachment Theory (AT) is pivotal. AT suggests that early bonds with primary caregivers influence future relationship expectations and behaviors. These initial experiences shape internal models of self and others, affecting how individuals regulate their emotions. Understanding the interplay between ER and AT is essential for comprehending the human affective system. In this study, we explored the neural underpinnings of ER, focusing on two distinct strategies: cognitive reappraisal and expressive suppression. Using electroencephalography (EEG), we examined changes in neural oscillations from 52 adults during an ER task. Specifically, we observed increased frontal theta activity (3-6 Hz) during reappraisal compared to suppression strategies. This frontal theta activity suggests enhanced cognitive control engagement. Conversely, during suppression, we noted a decrease in beta frequency (15-30 Hz) activity from central electrodes, indicative of differing neural processes. Further integrating psychological theories, we explored the relationship between these neural markers and dimensions of human attachment. Employing the Experiences in Close Relationships-12 scale (ECR-12), we identified a negative correlation between attachment anxiety and frontal theta activity. Lower levels of attachment anxiety were associated with increased theta activity, reflecting potentially more effective emotion regulation. Additionally, we found that higher theta activity corresponded with fewer difficulties in emotional control measured by the Difficulties in Emotion Regulation Scale (DERS). Regarding central beta activity, our findings revealed an interesting correlation with Emotional Inattention, a concept tied to Attachment Avoidance. This suggests that central beta activity may serve as a neural marker for specific attachment-related ER processing. These results highlight the distinct neural pathways involved in different ER strategies and their relationship with the AT and neural responses during emotional processing.
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Affiliation(s)
- Marcos Domic-Siede
- Laboratorio de Neurociencia Cognitiva, Escuela de Psicología, Universidad Católica del Norte, Antofagasta, Chile.
| | - Andrea Sánchez-Corzo
- Multimodal Functional Brain Imaging and Neurorehabilitation Hub, Department of Diagnostic Imaging. St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Mónica Guzmán-González
- Laboratorio de Neurociencia Cognitiva, Escuela de Psicología, Universidad Católica del Norte, Antofagasta, Chile
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Elmers J, Yu S, Talebi N, Prochnow A, Beste C. Neurophysiological effective network connectivity supports a threshold-dependent management of dynamic working memory gating. iScience 2024; 27:109521. [PMID: 38591012 PMCID: PMC11000016 DOI: 10.1016/j.isci.2024.109521] [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: 11/08/2023] [Revised: 01/27/2024] [Accepted: 03/14/2024] [Indexed: 04/10/2024] Open
Abstract
To facilitate goal-directed actions, effective management of working memory (WM) is crucial, involving a hypothesized WM "gating mechanism." We investigate the underlying neural basis through behavioral modeling and connectivity assessments between neuroanatomical regions linked to theta, alpha, and beta frequency bands. We found opposing, threshold-dependent mechanisms governing WM gate opening and closing. Directed beta band connectivity in the parieto-frontal and parahippocampal-occipital networks was crucial for threshold-dependent WM gating dynamics. Fronto-parahippocampal connectivity in the theta band was also notable for both gating processes, although weaker than that in the beta band. Distinct roles for theta, beta, and alpha bands emerge in maintaining information in WM and shielding against interference, whereby alpha band activity likely acts as a "gatekeeper" supporting processes reflected by beta and theta band activity. The study shows that the decision criterion for WM gate opening/closing relies on concerted interplay within neuroanatomical networks defined by beta and theta band activities.
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Affiliation(s)
- Julia Elmers
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Shijing Yu
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Nasibeh Talebi
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Astrid Prochnow
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
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Giannopulu I, Lee K, Abdi E, Noori-Hoshyar A, Brotto G, Van Velsen M, Lin T, Gauchan P, Gorman J, Indelicato G. Predicting neural activity of whole body cast shadow through object cast shadow in dynamic environments. Front Psychol 2024; 15:1149750. [PMID: 38646121 PMCID: PMC11027993 DOI: 10.3389/fpsyg.2024.1149750] [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: 02/23/2023] [Accepted: 01/23/2024] [Indexed: 04/23/2024] Open
Abstract
Shadows, as all other objects that surround us, are incorporated into the body and extend the body mediating perceptual information. The current study investigates the hypothesis according to which the perception of object shadows would predict the perception of body shadows. 38 participants (19 males and 19 females) aged 23 years on average were immersed into a virtual reality environment and instructed to perceive and indicate the coincidence or non coincidence between the movement of a ball shadow with regard to ball movement on the one hand, and between their body shadow and their body position in space on the other. Their brain activity was recording via a 32-channel EEG system, in which beta (13.5-30 Hz) oscillations were analyzed. A series of Multiple Regression Analysis (MRA) revealed that the beta dynamic oscillations patterns of the bilateral occipito-parieto-frontal pathway associated with the perception of ball shadow appeared to be a significant predictor of the increase in beta oscillations across frontal areas related to the body shadow perception and the decrease in beta oscillations across frontal areas connected to the decision making of the body shadow. Taken together, the findings suggest that inferential thinking ability relative to body shadow would be reliably predicted from object shadows and that the bilateral beta oscillatory modulations would be indicative of the formation of predictive neural frontal assemblies, which encode and infer body shadow neural representation, that is, a substitution of the physical body.
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Affiliation(s)
- Irini Giannopulu
- Creative Robotics Lab, UNSW, Sydney, NSW, Australia
- Clinical Research and Technological Innovation Centre, RCIT, Paris, France
| | - Khai Lee
- Department of Mechanical, Aerospace and Mechatronics Engineering, Monash University Australia, Melbourne, VIC, Australia
| | - Elahe Abdi
- Department of Mechanical, Aerospace and Mechatronics Engineering, Monash University Australia, Melbourne, VIC, Australia
| | - Azadeh Noori-Hoshyar
- School of Engineering, Information Technology and Physical Sciences, Federation University, Ballarat, VIC, Australia
| | - Gaelle Brotto
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
| | - Mathew Van Velsen
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
| | - Tiffany Lin
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
| | - Priya Gauchan
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
| | - Jazmin Gorman
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
| | - Giuseppa Indelicato
- Interdisciplinary Centre for the Artificial Mind (iCAM), Gold Coast, QLD, Australia
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Jackson AD, Cohen JL, Phensy AJ, Chang EF, Dawes HE, Sohal VS. Amygdala-hippocampus somatostatin interneuron beta-synchrony underlies a cross-species biomarker of emotional state. Neuron 2024; 112:1182-1195.e5. [PMID: 38266646 PMCID: PMC10994747 DOI: 10.1016/j.neuron.2023.12.017] [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: 07/28/2022] [Revised: 03/20/2023] [Accepted: 12/22/2023] [Indexed: 01/26/2024]
Abstract
Emotional responses arise from limbic circuits including the hippocampus and amygdala. In the human brain, beta-frequency communication between these structures correlates with self-reported mood and anxiety. However, both the mechanism and significance of this biomarker as a readout vs. driver of emotional state remain unknown. Here, we show that beta-frequency communication between ventral hippocampus and basolateral amygdala also predicts anxiety-related behavior in mice, both on long timescales (∼30 min) and immediately preceding behavioral choices. Genetically encoded voltage indicators reveal that this biomarker reflects synchronization between somatostatin interneurons across both structures. Indeed, synchrony between these neurons dynamically predicts approach-avoidance decisions, and optogenetically shifting the phase of synchronization by just 25 ms is sufficient to bidirectionally modulate anxiety-related behaviors. Thus, back-translation establishes a human biomarker as a causal determinant (not just predictor) of emotional state, revealing a novel mechanism whereby interregional synchronization that is frequency, phase, and cell type specific controls emotional processing.
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Affiliation(s)
- Adam D Jackson
- Department of Psychiatry and Behavioral Sciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA
| | - Joshua L Cohen
- Department of Psychiatry and Behavioral Sciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA
| | - Aarron J Phensy
- Department of Psychiatry and Behavioral Sciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA
| | - Edward F Chang
- Department of Neurological Surgery, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA
| | - Heather E Dawes
- Department of Neurological Surgery, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA
| | - Vikaas S Sohal
- Department of Psychiatry and Behavioral Sciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA; Weill Institute for Neurosciences, Center for Integrative Neuroscience and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143-0444, USA.
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37
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Yang J, Barragan JA, Farrow JM, Sundaram CP, Wachs JP, Yu D. An Adaptive Human-Robotic Interaction Architecture for Augmenting Surgery Performance Using Real-Time Workload Sensing-Demonstration of a Semi-autonomous Suction Tool. HUMAN FACTORS 2024; 66:1081-1102. [PMID: 36367971 DOI: 10.1177/00187208221129940] [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: 06/16/2023]
Abstract
OBJECTIVE This study developed and evaluated a mental workload-based adaptive automation (MWL-AA) that monitors surgeon cognitive load and assist during cognitively demanding tasks and assists surgeons in robotic-assisted surgery (RAS). BACKGROUND The introduction of RAS makes operators overwhelmed. The need for precise, continuous assessment of human mental workload (MWL) states is important to identify when the interventions should be delivered to moderate operators' MWL. METHOD The MWL-AA presented in this study was a semi-autonomous suction tool. The first experiment recruited ten participants to perform surgical tasks under different MWL levels. The physiological responses were captured and used to develop a real-time multi-sensing model for MWL detection. The second experiment evaluated the effectiveness of the MWL-AA, where nine brand-new surgical trainees performed the surgical task with and without the MWL-AA. Mixed effect models were used to compare task performance, objective- and subjective-measured MWL. RESULTS The proposed system predicted high MWL hemorrhage conditions with an accuracy of 77.9%. For the MWL-AA evaluation, the surgeons' gaze behaviors and brain activities suggested lower perceived MWL with MWL-AA than without. This was further supported by lower self-reported MWL and better task performance in the task condition with MWL-AA. CONCLUSION A MWL-AA systems can reduce surgeons' workload and improve performance in a high-stress hemorrhaging scenario. Findings highlight the potential of utilizing MWL-AA to enhance the collaboration between the autonomous system and surgeons. Developing a robust and personalized MWL-AA is the first step that can be used do develop additional use cases in future studies. APPLICATION The proposed framework can be expanded and applied to more complex environments to improve human-robot collaboration.
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Affiliation(s)
- Jing Yang
- School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA
| | | | - Jason Michael Farrow
- Department of Urology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Chandru P Sundaram
- Department of Urology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Juan P Wachs
- School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Denny Yu
- School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA
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38
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Amoruso L, García AM, Pusil S, Timofeeva P, Quiñones I, Carreiras M. Decoding bilingualism from resting-state oscillatory network organization. Ann N Y Acad Sci 2024; 1534:106-117. [PMID: 38419368 DOI: 10.1111/nyas.15113] [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] [Indexed: 03/02/2024]
Abstract
Can lifelong bilingualism be robustly decoded from intrinsic brain connectivity? Can we determine, using a spectrally resolved approach, the oscillatory networks that better predict dual-language experience? We recorded resting-state magnetoencephalographic activity in highly proficient Spanish-Basque bilinguals and Spanish monolinguals, calculated functional connectivity at canonical frequency bands, and derived topological network properties using graph analysis. These features were fed into a machine learning classifier to establish how robustly they discriminated between the groups. The model showed excellent classification (AUC: 0.91 ± 0.12) between individuals in each group. The key drivers of classification were network strength in beta (15-30 Hz) and delta (2-4 Hz) rhythms. Further characterization of these networks revealed the involvement of temporal, cingulate, and fronto-parietal hubs likely underpinning the language and default-mode networks (DMNs). Complementary evidence from a correlation analysis showed that the top-ranked features that better discriminated individuals during rest also explained interindividual variability in second language (L2) proficiency within bilinguals, further supporting the robustness of the machine learning model in capturing trait-like markers of bilingualism. Overall, our results show that long-term experience with an L2 can be "brain-read" at a fine-grained level from resting-state oscillatory network organization, highlighting its pervasive impact, particularly within language and DMN networks.
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Affiliation(s)
- Lucia Amoruso
- Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
| | - Adolfo M García
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USA
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Sandra Pusil
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
| | - Polina Timofeeva
- Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain
- Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Ileana Quiñones
- Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Manuel Carreiras
- Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
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Zioga I, Zhou YJ, Weissbart H, Martin AE, Haegens S. Alpha and Beta Oscillations Differentially Support Word Production in a Rule-Switching Task. eNeuro 2024; 11:ENEURO.0312-23.2024. [PMID: 38490743 PMCID: PMC10988358 DOI: 10.1523/eneuro.0312-23.2024] [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: 08/23/2023] [Revised: 01/26/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024] Open
Abstract
Research into the role of brain oscillations in basic perceptual and cognitive functions has suggested that the alpha rhythm reflects functional inhibition while the beta rhythm reflects neural ensemble (re)activation. However, little is known regarding the generalization of these proposed fundamental operations to linguistic processes, such as speech comprehension and production. Here, we recorded magnetoencephalography in participants performing a novel rule-switching paradigm. Specifically, Dutch native speakers had to produce an alternative exemplar from the same category or a feature of a given target word embedded in spoken sentences (e.g., for the word "tuna", an exemplar from the same category-"seafood"-would be "shrimp", and a feature would be "pink"). A cue indicated the task rule-exemplar or feature-either before (pre-cue) or after (retro-cue) listening to the sentence. Alpha power during the working memory delay was lower for retro-cue compared with that for pre-cue in the left hemispheric language-related regions. Critically, alpha power negatively correlated with reaction times, suggestive of alpha facilitating task performance by regulating inhibition in regions linked to lexical retrieval. Furthermore, we observed a different spatiotemporal pattern of beta activity for exemplars versus features in the right temporoparietal regions, in line with the proposed role of beta in recruiting neural networks for the encoding of distinct categories. Overall, our study provides evidence for the generalizability of the role of alpha and beta oscillations from perceptual to more "complex, linguistic processes" and offers a novel task to investigate links between rule-switching, working memory, and word production.
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Affiliation(s)
- Ioanna Zioga
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
- Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands
| | - Ying Joey Zhou
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
- Department of Psychiatry, Oxford Centre for Human Brain Activity, Oxford, United Kingdom
| | - Hugo Weissbart
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
| | - Andrea E Martin
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
- Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands
| | - Saskia Haegens
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 EN, The Netherlands
- Department of Psychiatry, Columbia University, New York, New York 10032
- Division of Systems Neuroscience, New York State Psychiatric Institute, New York, New York 10032
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40
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Das A, Menon V. Hippocampal-parietal cortex causal directed connectivity during human episodic memory formation: Replication across three experiments. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.07.566056. [PMID: 37986855 PMCID: PMC10659286 DOI: 10.1101/2023.11.07.566056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Hippocampus-parietal cortex circuits are thought to play a crucial role in memory and attention, but their neural basis remains poorly understood. We employed intracranial EEG from 96 participants (51 females) to investigate the neurophysiological underpinning of these circuits across three memory tasks spanning verbal and spatial domains. We uncovered a consistent pattern of higher causal directed connectivity from the hippocampus to both lateral parietal cortex (supramarginal and angular gyrus) and medial parietal cortex (posterior cingulate cortex) in the delta-theta band during memory encoding and recall. This connectivity was independent of activation or suppression states in the hippocampus or parietal cortex. Crucially, directed connectivity from the supramarginal gyrus to the hippocampus was enhanced in participants with higher memory recall, highlighting its behavioral significance. Our findings align with the attention-to-memory model, which posits that attention directs cognitive resources toward pertinent information during memory formation. The robustness of these results was demonstrated through Bayesian replication analysis of the memory encoding and recall periods across the three tasks. Our study sheds light on the neural basis of casual signaling within hippocampus-parietal circuits, broadening our understanding of their critical roles in human cognition.
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Wilkinson CL, Yankowitz L, Chao JY, Gutiérrez R, Rhoades JL, Shinnar S, Purdon PL, Nelson CA. Developmental trajectories of EEG aperiodic and periodic components: Implications for understanding thalamocortical development during infancy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.21.550114. [PMID: 37546863 PMCID: PMC10401947 DOI: 10.1101/2023.07.21.550114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The development of neural circuits has long-lasting effects on brain function, yet our understanding of early circuit development in humans remains limited. Here, periodic EEG power features and aperiodic components were examined from longitudinal EEGs collected from 592 healthy 2-44 month-old infants, revealing age-dependent nonlinear changes suggestive of distinct milestones in early brain maturation. Consistent with the transient developmental progression of thalamocortical circuitry, we observe the presence and then absence of periodic alpha and high beta peaks across the three-year period, as well as the emergence of a low beta peak (12-20Hz) after six months of age. We present preliminary evidence that the emergence of the low beta peak is associated with higher thalamocortical-dependent, anesthesia-induced alpha coherence. Together, these findings suggest that early age-dependent changes in alpha and beta periodic peaks may reflect the state of thalamocortical network development.
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Affiliation(s)
- Carol L Wilkinson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
| | - Lisa Yankowitz
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rodrigo Gutiérrez
- Departamento de Anestesia y Medicina Perioperatoria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jeff L Rhoades
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Program in Neuroscience, Division of Medical Sciences, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Shlomo Shinnar
- The Saul R. Korey Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patrick L Purdon
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, United States
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Rawish T, Wendiggensen P, Friedrich J, Frings C, Münchau A, Beste C. Neurophysiological processes reflecting the effects of the immediate past during the dynamic management of actions. Neuroimage 2024; 288:120526. [PMID: 38280691 DOI: 10.1016/j.neuroimage.2024.120526] [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: 10/28/2023] [Revised: 01/10/2024] [Accepted: 01/25/2024] [Indexed: 01/29/2024] Open
Abstract
In recent years, there has been many efforts to establish a comprehensive theoretical framework explaining the working mechanisms involved in perception-action integration. This framework stresses the importance of the immediate past on mechanisms supporting perception-action integration. The present study investigates the neurophysiological principles of dynamic perception-action bindings, particularly considering the influence of the immediate history on action control mechanisms. For this purpose, we conducted an established stimulus-response binding paradigm during EEG recording. The SR-task measures stimulus-response binding in terms of accuracy and reaction time differences depending on the degree of feature overlap between conditions. Alpha, beta and theta band activity in distinct time domains as well as associated brain regions were investigated applying time-frequency analyses, a beamforming approach as well as correlation analyses. We demonstrate, for the first time, interdependencies of neuronal processes relying on the immediate past. The reconfiguration of an action seems to overwrite immediately preceding processes. The analyses revealed modulations of theta (TBA), alpha (ABA) and beta band activity (BBA) in connection with fronto-temporal structures supporting the theoretical assumptions of the considered conceptual framework. The close interplay of attentional modulation by gating irrelevant information (ABA) and binding and retrieval processes (TBA) is reflected by the correlation of ABA in all pre-probe-intervals with post-probe TBA. Likewise, the role of BBA in maintaining the event file until retrieval is corroborated by BBA preceding the TBA-associated retrieval of perception-action codes. Following action execution, TBA shifted towards visual association cortices probably reflecting preparation for upcoming information, while ABA and BBA continue to reflect processes of attentional control and information selection for goal-directed behavior. The present work provides the first empirical support for concepts about the neurophysiological mechanisms of dynamic management of perception and action.
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Affiliation(s)
- Tina Rawish
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | | | - Julia Friedrich
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Christian Frings
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Christian Beste
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany; Department of Psychology, Shandong Normal University, Jinan, PR China.
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Gosti G, Milanetti E, Folli V, de Pasquale F, Leonetti M, Corbetta M, Ruocco G, Della Penna S. A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG. Neural Netw 2024; 170:72-93. [PMID: 37977091 DOI: 10.1016/j.neunet.2023.11.027] [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: 02/17/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
The architecture of communication within the brain, represented by the human connectome, has gained a paramount role in the neuroscience community. Several features of this communication, e.g., the frequency content, spatial topology, and temporal dynamics are currently well established. However, identifying generative models providing the underlying patterns of inhibition/excitation is very challenging. To address this issue, we present a novel generative model to estimate large-scale effective connectivity from MEG. The dynamic evolution of this model is determined by a recurrent Hopfield neural network with asymmetric connections, and thus denoted Recurrent Hopfield Mass Model (RHoMM). Since RHoMM must be applied to binary neurons, it is suitable for analyzing Band Limited Power (BLP) dynamics following a binarization process. We trained RHoMM to predict the MEG dynamics through a gradient descent minimization and we validated it in two steps. First, we showed a significant agreement between the similarity of the effective connectivity patterns and that of the interregional BLP correlation, demonstrating RHoMM's ability to capture individual variability of BLP dynamics. Second, we showed that the simulated BLP correlation connectomes, obtained from RHoMM evolutions of BLP, preserved some important topological features, e.g, the centrality of the real data, assuring the reliability of RHoMM. Compared to other biophysical models, RHoMM is based on recurrent Hopfield neural networks, thus, it has the advantage of being data-driven, less demanding in terms of hyperparameters and scalable to encompass large-scale system interactions. These features are promising for investigating the dynamics of inhibition/excitation at different spatial scales.
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Affiliation(s)
- Giorgio Gosti
- Center for Life Nano- & Neuro-Science, Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy; Soft and Living Matter Laboratory, Institute of Nanotechnology, Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro, 5, 00185, Rome, Italy; Istituto di Scienze del Patrimonio Culturale, Sede di Roma, Consiglio Nazionale delle Ricerche, CNR-ISPC, Via Salaria km, 34900 Rome, Italy.
| | - Edoardo Milanetti
- Center for Life Nano- & Neuro-Science, Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy; Department of Physics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
| | - Viola Folli
- Center for Life Nano- & Neuro-Science, Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy; D-TAILS srl, Via di Torre Rossa, 66, 00165, Rome, Italy.
| | - Francesco de Pasquale
- Faculty of Veterinary Medicine, University of Teramo, 64100 Piano D'Accio, Teramo, Italy.
| | - Marco Leonetti
- Center for Life Nano- & Neuro-Science, Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy; Soft and Living Matter Laboratory, Institute of Nanotechnology, Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro, 5, 00185, Rome, Italy; D-TAILS srl, Via di Torre Rossa, 66, 00165, Rome, Italy.
| | - Maurizio Corbetta
- Department of Neuroscience, University of Padova, Via Belzoni, 160, 35121, Padova, Italy; Padova Neuroscience Center (PNC), University of Padova, Via Orus, 2/B, 35129, Padova, Italy; Veneto Institute of Molecular Medicine (VIMM), Via Orus, 2, 35129, Padova, Italy.
| | - Giancarlo Ruocco
- Center for Life Nano- & Neuro-Science, Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy; Department of Physics, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
| | - Stefania Della Penna
- Department of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "G. d'Annunzio" University of Chieti-Pescara, Via Luigi Polacchi, 11, 66100 Chieti, Italy.
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Prochnow A, Zhou X, Ghorbani F, Wendiggensen P, Roessner V, Hommel B, Beste C. The temporal dynamics of how the brain structures natural scenes. Cortex 2024; 171:26-39. [PMID: 37977111 DOI: 10.1016/j.cortex.2023.10.005] [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: 04/06/2023] [Revised: 09/25/2023] [Accepted: 10/10/2023] [Indexed: 11/19/2023]
Abstract
Individuals organize the evolving stream of events in their environment by partitioning it into discrete units. Event segmentation theory (EST) provides a cognitive explanation for the process of this partitioning. Critically, the underlying time-resolved neural mechanisms are not understood, and thus a central conceptual aspect of how humans implement this central ability is missing. To gain better insight into the fundamental temporal dynamics of event segmentation, EEG oscillatory activity was measured while participants watched a narrative video and partitioned the movie into meaningful segments. Using EEG beamforming methods, we show that theta, alpha, and beta band activity in frontal, parietal, and occipital areas, as well as their interactions, reflect critical elements of the event segmentation process established by EST. In sum, we see a mechanistic temporal chain of processes that provides the neurophysiological basis for how the brain partitions and structures continuously evolving scenes and points to an integrated system that organizes the various subprocesses of event segmentation. This study thus integrates neurophysiology and cognitive theory to better understand how the human brain operates in rather variable and unpredictable situations. Therefore, it represents an important step toward studying neurophysiological dynamics in ecologically valid and naturalistic settings and, in doing so, addresses a critical gap in knowledge regarding the temporal dynamics of how the brain structures natural scenes.
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Affiliation(s)
- Astrid Prochnow
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany.
| | - Xianzhen Zhou
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany
| | - Foroogh Ghorbani
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany
| | - Paul Wendiggensen
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany
| | - Veit Roessner
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany
| | - Bernhard Hommel
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany; School of Psychology, Shandong Normal University, Jinan, China
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 03107 Dresden, Germany; School of Psychology, Shandong Normal University, Jinan, China
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Vimolratana O, Aneksan B, Siripornpanich V, Hiengkaew V, Prathum T, Jeungprasopsuk W, Khaokhiew T, Vachalathiti R, Klomjai W. Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial. J Neuroeng Rehabil 2024; 21:6. [PMID: 38172973 PMCID: PMC10765911 DOI: 10.1186/s12984-023-01300-x] [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: 05/04/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Anodal transcranial direct current stimulation (tDCS) is a beneficial adjunctive tool in stroke rehabilitation. However, only a few studies have investigated its effects on acute stroke and recruited only individuals with mild motor deficits. This study investigated the effect of five consecutive sessions of anodal tDCS and conventional physical therapy on brain activity and motor outcomes in individuals with acute stroke, with low and high motor impairments. METHODS Thirty participants were recruited and randomly allocated to either the anodal or sham tDCS group. Five consecutive sessions of tDCS (1.5 mA anodal or sham tDCS for 20 min) were administered, followed by conventional physical therapy. Electroencephalography (EEG), Fugl-Meyer Motor Assessment (FMA), and Wolf Motor Function Test (WMFT) were performed at pre-, post-intervention (day 5), and 1-month follow-up. Sub-analyses were performed on participants with low and high motor impairments. The relationship between EEG power and changes in motor functions was assessed. RESULTS Linear regression showed a significant positive correlation between beta bands and the FMA score in the anodal group. Elevated high frequency bands (alpha and beta) were observed at post-intervention and follow-up in all areas of both hemispheres in the anodal group, while only in the posterior area of the non-lesioned hemisphere in the sham group; however, such elevation induced by tDCS was not greater than sham. Lower limb function assessed by FMA was improved in the anodal group compared with the sham group at post-intervention and follow-up only in those with low motor impairment. For the upper limb outcomes, no difference between groups was found. CONCLUSIONS Five consecutive days of anodal tDCS and physical therapy in acute stroke did not result in a superior improvement of beta bands that commonly related to stroke recovery over sham, but improved lower extremity functions with a post-effect at 1-month follow-up in low motor impairment participants. The increase of beta bands in the lesioned brain in the anodal group was associated with improvement in lower limb function. TRIAL REGISTRATION NCT04578080, date of first registration 10/01/2020.
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Affiliation(s)
- O Vimolratana
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand
- Neuro Electrical Stimulation Laboratory, Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, 73170, Thailand
- School of Integrative Medicine, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - B Aneksan
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand
- Neuro Electrical Stimulation Laboratory, Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, 73170, Thailand
| | - V Siripornpanich
- Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, 73170, Thailand
| | - V Hiengkaew
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand
| | - T Prathum
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand
- Neuro Electrical Stimulation Laboratory, Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, 73170, Thailand
| | - W Jeungprasopsuk
- Faculty of Medical Technology, Mahidol University, Nakhon Pathom, 73170, Thailand
| | - T Khaokhiew
- Faculty of Medical Technology, Mahidol University, Nakhon Pathom, 73170, Thailand
| | - R Vachalathiti
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand
| | - W Klomjai
- Faculty of Physical Therapy, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand.
- Neuro Electrical Stimulation Laboratory, Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, 73170, Thailand.
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DeCouto BS, Smeeton NJ, Williams AM. Skill and experience impact neural activity during global and local biological motion processing. Neuropsychologia 2023; 191:108718. [PMID: 37939872 DOI: 10.1016/j.neuropsychologia.2023.108718] [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: 06/06/2023] [Revised: 09/15/2023] [Accepted: 10/28/2023] [Indexed: 11/10/2023]
Abstract
During biological motion perception, individuals with perceptual experience learn to use more global processing, simultaneously extracting information from multiple body segments. Less experienced observers may use more local processing of individual body segments. The parietal lobe (e.g., alpha and beta power) has been shown to be critical to global and local static stimulus perception. Therefore, in this paper, we examined how skill impacts motion processing by assessing behavioral and neural responses to degrading global or local motion information for soccer penalty kicks. Skilled (N = 21) and less skilled (N = 19) soccer players anticipated temporally occluded videos of penalty kicks under normal, blurred (degraded local information), or spatially occluded (hips-only; degraded global information) viewing conditions. EEG was used to measure parietal alpha and beta power. Skilled players outperformed less skilled players, albeit both skill groups were less accurate in the blurred and hips-only conditions. Skilled performers showed significant decreases in bilateral parietal beta power in the hips-only condition, suggesting a greater reliance on global motion information under normal viewing conditions. Additionally, the hips-only condition elicited significantly greater beta relative to alpha power (beta - alpha), lower beta power, and lower alpha power than the control condition for both skill groups, suggesting spatial occlusion elicited a shift towards more local processing. Our novel findings demonstrate that skill and experience impact how motion is processed.
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Affiliation(s)
- B S DeCouto
- Florida Institute for Human & Machine Cognition, Human Health, Resilience & Performance, 40 South Alcaniz St. Pensacola, FL 32502, USA; University of Utah, College of Health, Department of Health & Kinesiology, 383 Colorow Drive, Suite 260, Salt Lake City, UT. 84112, USA.
| | - N J Smeeton
- University of Brighton, School of Sport and Health Sciences, Sport and Exercise Science and Sports Medicine Research and Enterprise Group, 1 Denton Road, Eastbourne BN22 7SR, Brighton, England, UK
| | - A M Williams
- Florida Institute for Human & Machine Cognition, Human Health, Resilience & Performance, 40 South Alcaniz St. Pensacola, FL 32502, USA; University of Utah, College of Health, Department of Health & Kinesiology, 383 Colorow Drive, Suite 260, Salt Lake City, UT. 84112, USA
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Di Dona G, Ronconi L. Beta oscillations in vision: a (preconscious) neural mechanism for the dorsal visual stream? Front Psychol 2023; 14:1296483. [PMID: 38155693 PMCID: PMC10753839 DOI: 10.3389/fpsyg.2023.1296483] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/15/2023] [Indexed: 12/30/2023] Open
Abstract
Neural oscillations in alpha (8-12 Hz) and beta (13-30 Hz) frequency bands are thought to reflect feedback/reentrant loops and large-scale cortical interactions. In the last decades a main effort has been made in linking perception with alpha-band oscillations, with converging evidence showing that alpha oscillations have a key role in the temporal and featural binding of visual input, configuring the alpha rhythm a key determinant of conscious visual experience. Less attention has been historically dedicated to link beta oscillations and visual processing. Nonetheless, increasing studies report that task conditions that require to segregate/integrate stimuli in space, to disentangle local/global shapes, to spatially reorganize visual inputs, and to achieve motion perception or form-motion integration, rely on the activity of beta oscillations, with a main hub in parietal areas. In the present review, we summarize the evidence linking oscillations within the beta band and visual perception. We propose that beta oscillations represent a neural code that supports the functionality of the magnocellular-dorsal (M-D) visual pathway, serving as a fast primary neural code to exert top-down influences on the slower parvocellular-ventral visual pathway activity. Such M-D-related beta activity is proposed to act mainly pre-consciously, providing the spatial coordinates of vision and guiding the conscious extraction of objects identity that are achieved with slower alpha rhythms in ventral areas. Finally, within this new theoretical framework, we discuss the potential role of M-D-related beta oscillations in visuo-spatial attention, oculo-motor behavior and reading (dis)abilities.
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Affiliation(s)
- Giuseppe Di Dona
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
| | - Luca Ronconi
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
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Ester E, Weese R. Temporally Dissociable Mechanisms of Spatial, Feature, and Motor Selection during Working Memory-guided Behavior. J Cogn Neurosci 2023; 35:2014-2027. [PMID: 37788302 DOI: 10.1162/jocn_a_02061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Working memory (WM) is a capacity- and duration-limited system that forms a temporal bridge between fleeting sensory phenomena and possible actions. But how are the contents of WM used to guide behavior? A recent high-profile study reported evidence for simultaneous access to WM content and linked motor plans during WM-guided behavior, challenging serial models where task-relevant WM content is first selected and then mapped on to a task-relevant motor response. However, the task used in that study was not optimized to distinguish the selection of spatial versus nonspatial visual information stored in memory, nor to distinguish whether or how the chronometry of selecting nonspatial visual information stored in memory might differ from the selection of linked motor plans. Here, we revisited the chronometry of spatial, feature, and motor selection during WM-guided behavior using a task optimized to disentangle these processes. Concurrent EEG and eye position recordings revealed clear evidence for temporally dissociable spatial, feature, and motor selection during this task. Thus, our data reveal the existence of multiple WM selection mechanisms that belie conceptualizations of WM-guided behavior based on purely serial or parallel visuomotor processing.
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Jensen MP, Ehde DM, Hakimian S, Pettet MW, Day MA, Ciol MA. Who Benefits the Most From Different Psychological Chronic Pain Treatments? An Exploratory Analysis of Treatment Moderators. THE JOURNAL OF PAIN 2023; 24:2024-2039. [PMID: 37353183 PMCID: PMC10615716 DOI: 10.1016/j.jpain.2023.06.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 06/25/2023]
Abstract
Different psychological chronic pain treatments benefit some individuals more than others. Understanding the factors that are associated with treatment response-especially when those factors differ between treatments-may inform more effective patient-treatment matching. This study aimed to identify variables that moderate treatment response to 4 psychological pain interventions in a sample of adults with low back pain or chronic pain associated with multiple sclerosis, spinal cord injury, acquired amputation, or muscular dystrophy (N = 173). The current study presents the results from secondary exploratory analyses using data from a randomized controlled clinical trial which compared the effects of 4 sessions of cognitive therapy (CT), hypnosis focused on pain reduction (HYP), hypnosis focused on changing pain-related cognitions and beliefs (HYP-CT), and a pain education control condition (ED). The analyses tested the effects of 7 potential treatment moderators. Measures of primary (pain intensity) and secondary (pain interference, depression severity) outcome domains were administered before and after the pain treatments, and potential moderators (catastrophizing, hypnotizability, and electroencephalogram (EEG)-assessed oscillation power across five bandwidths) were assessed at pre-treatment. Moderator effects were tested fitting regression analyses to pre- to post-treatment changes in the three outcome variables. The study findings, while preliminary, support the premise that pre-treatment measures of hypnotizability and EEG brain activity predict who is more (or less) likely to respond to different psychological pain treatments. If additional research replicates the findings, it may be possible to better match patients to their more individually suitable treatment, ultimately improving pain treatment outcomes. PERSPECTIVE: Pre-treatment measures of hypnotizability and EEG-assessed brain activity predicted who was more (or less) likely to respond to different psychological pain treatments. If these findings are replicated in future studies, they could inform the development of patient-treatment matching algorithms.
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Affiliation(s)
- Mark P. Jensen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
| | - Dawn M. Ehde
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
| | - Shahin Hakimian
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
| | - Mark W. Pettet
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
| | - Melissa A. Day
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - Marcia A. Ciol
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
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Dubey A, Markowitz DA, Pesaran B. Top-down control of exogenous attentional selection is mediated by beta coherence in prefrontal cortex. Neuron 2023; 111:3321-3334.e5. [PMID: 37499660 PMCID: PMC10935562 DOI: 10.1016/j.neuron.2023.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 11/30/2022] [Accepted: 06/26/2023] [Indexed: 07/29/2023]
Abstract
Salience-driven exogenous and goal-driven endogenous attentional selection are two distinct forms of attention that guide selection of task-irrelevant and task-relevant targets in primates. Top-down attentional control mechanisms enable selection of the task-relevant target by limiting the influence of sensory information. Although the lateral prefrontal cortex (LPFC) is known to mediate top-down control, the neuronal mechanisms of top-down control of attentional selection are poorly understood. Here, we trained two rhesus monkeys on a two-target, free-choice luminance-reward selection task. We demonstrate that visual-movement (VM) neurons and nonvisual neurons or movement neurons encode exogenous and endogenous selection. We then show that coherent beta activity selectively modulates mechanisms of exogenous selection specifically during conflict and consequently may support top-down control. These results reveal the VM-neuron-specific network mechanisms of attentional selection and suggest a functional role for beta-frequency coherent neural dynamics in the modulation of sensory communication channels for the top-down control of attentional selection.
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Affiliation(s)
- Agrita Dubey
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - David A Markowitz
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - Bijan Pesaran
- Center for Neural Science, New York University, New York, NY 10003, USA; Departments of Neurosurgery, Neuroscience, and Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
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