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Stadler W, Hermsdörfer J. Neuromuscular effects suggest that imagery engages motor components directly - a commentary on Frank et al. (2023). PSYCHOLOGICAL RESEARCH 2024; 88:1846-1848. [PMID: 38483576 PMCID: PMC11315792 DOI: 10.1007/s00426-024-01943-y] [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: 06/30/2023] [Accepted: 02/22/2024] [Indexed: 07/13/2024]
Abstract
Not applicable.
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Affiliation(s)
- Waltraud Stadler
- Department Health and Sport Sciences, School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Joachim Hermsdörfer
- Department Health and Sport Sciences, School of Medicine and Health, Technical University of Munich, Munich, Germany
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2
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Lebon F. A theoretical perspective on action consequences in action imagery: internal prediction as an essential mechanism to detect errors: a commentary on Rieger et al. 2023. PSYCHOLOGICAL RESEARCH 2024; 88:1862-1864. [PMID: 38252286 DOI: 10.1007/s00426-023-01918-5] [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: 06/21/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024]
Abstract
In this position paper, the authors support with recent behavioral findings the theory of internal simulations during motor imagery, initiated in the 90's. In this commentary, I will provide additional evidence from other research groups to support this theory and discuss the neurophysiological basis of inhibition (surround inhibition, inhibition within the primary cortex) and internal models (including the cerebellum).
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Affiliation(s)
- Florent Lebon
- INSERM UMR1093-CAPS, Université Bourgogne, UFR des Sciences du Sport, 21000, Dijon, France.
- Institut Universitaire de France (IUF), Paris, France.
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3
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Frank C, Kraeutner SN, Rieger M, Boe SG. Learning motor actions via imagery-perceptual or motor learning? PSYCHOLOGICAL RESEARCH 2024; 88:1820-1832. [PMID: 36680584 PMCID: PMC11315805 DOI: 10.1007/s00426-022-01787-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/22/2022] [Indexed: 01/22/2023]
Abstract
It is well accepted that repeatedly imagining oneself acting without any overt behavior can lead to learning. The prominent theory accounting for why imagery practice is effective, motor simulation theory, posits that imagined action and overt action are functionally equivalent, the exception being activation of the end effector. If, as motor simulation theory states, one can compile the goal, plan, motor program and outcome of an action during imagined action similar to overt action, then learning of novel skills via imagery should proceed in a manner equivalent to that of overt action. While the evidence on motor simulation theory is both plentiful and diverse, it does not explicitly account for differences in neural and behavioural findings between imagined and overt action. In this position paper, we briefly review theoretical accounts to date and present a perceptual-cognitive theory that accounts for often observed outcomes of imagery practice. We suggest that learning by way of imagery reflects perceptual-cognitive scaffolding, and that this 'perceptual' learning transfers into 'motor' learning (or not) depending on various factors. Based on this theory, we characterize consistently reported learning effects that occur with imagery practice, against the background of well-known physical practice effects and show that perceptual-cognitive scaffolding is well-suited to explain what is being learnt during imagery practice.
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Affiliation(s)
- Cornelia Frank
- Department of Sports and Movement Science, School of Educational and Cultural Studies, Osnabrück University, Osnabrück, Germany.
| | - Sarah N Kraeutner
- Department of Psychology, University of British Columbia, Okanagan, Kelowna, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Martina Rieger
- Institute for Psychology, UMIT Tirol - Private University for Health Sciences and Health Technology, Hall in Tyrol, Austria
| | - Shaun G Boe
- Laboratory for Brain Recovery and Function, School of Physiotherapy, Department of Psychology and Neuroscience, School of Health and Human Performance, Dalhousie University, Nova Scotia, Canada
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4
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Morasso P. Neural Simulation of Actions for Serpentine Robots. Biomimetics (Basel) 2024; 9:416. [PMID: 39056857 PMCID: PMC11274536 DOI: 10.3390/biomimetics9070416] [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: 06/03/2024] [Revised: 06/28/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024] Open
Abstract
The neural or mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial for learning and memorizing key aspects of challenging skills. In previous studies, we developed an approach based on the animation of the redundant human body schema, based on the Passive Motion Paradigm (PMP). In this paper, we show that this approach can be easily extended to hyper-redundant serpentine robots as well as to hybrid configurations where the serpentine robot is functionally integrated with a traditional skeletal infrastructure. A simulation model is analyzed in detail, showing that it incorporates spatio-temporal features discovered in the biomechanical studies of biological hydrostats, such as the elephant trunk or octopus tentacles. It is proposed that such a generative internal model could be the basis for a cognitive architecture appropriate for serpentine robots, independent of the underlying design and control technologies. Although robotic hydrostats have received a lot of attention in recent decades, the great majority of research activities have been focused on the actuation/sensorial/material technologies that can support the design of hyper-redundant soft/serpentine robots, as well as the related control methodologies. The cognitive level of analysis has been limited to motion planning, without addressing synergy formation and mental time travel. This is what this paper is focused on.
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Affiliation(s)
- Pietro Morasso
- Center for Human Technologies Robotics, Brain and Cognitive Sciences Department, Italian Institute of Technology, Via Enrico Melen 83, Bldg B, 16152 Genoa, Italy
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5
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Boyd MC, Burdette JH, Miller ME, Lyday RG, Hugenschmidt CE, Jack Rejeski W, Simpson SL, Baker LD, Tomlinson CE, Kritchevsky SB, Laurienti PJ. Association of physical function with connectivity in the sensorimotor and dorsal attention networks: why examining specific components of physical function matters. GeroScience 2024:10.1007/s11357-024-01251-8. [PMID: 38967698 DOI: 10.1007/s11357-024-01251-8] [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: 03/25/2024] [Accepted: 06/07/2024] [Indexed: 07/06/2024] Open
Abstract
Declining physical function with aging is associated with structural and functional brain network organization. Gaining a greater understanding of network associations may be useful for targeting interventions that are designed to slow or prevent such decline. Our previous work demonstrated that the Short Physical Performance Battery (eSPPB) score and body mass index (BMI) exhibited a statistical interaction in their associations with connectivity in the sensorimotor cortex (SMN) and the dorsal attention network (DAN). The current study examined if components of the eSPPB have unique associations with these brain networks. Functional magnetic resonance imaging was performed on 192 participants in the BNET study, a longitudinal and observational trial of community-dwelling adults aged 70 or older. Functional brain networks were generated for resting state and during a motor imagery task. Regression analyses were performed between eSPPB component scores (gait speed, complex gait speed, static balance, and lower extremity strength) and BMI with SMN and DAN connectivity. Gait speed, complex gait speed, and lower extremity strength significantly interacted with BMI in their association with SMN at rest. Gait speed and complex gait speed were interacted with BMI in the DAN at rest while complex gait speed, static balance, and lower extremity strength interacted with BMI in the DAN during motor imagery. Results demonstrate that different components of physical function, such as balance or gait speed and BMI, are associated with unique aspects of brain network organization. Gaining a greater mechanistic understanding of the associations between low physical function, body mass, and brain physiology may lead to the development of treatments that not only target specific physical function limitations but also specific brain networks.
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Affiliation(s)
- Madeline C Boyd
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Jonathan H Burdette
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Michael E Miller
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Robert G Lyday
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Christina E Hugenschmidt
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Sean L Simpson
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Laura D Baker
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chal E Tomlinson
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Janssen R&D of Johnson & Johnson, Raritan, NJ, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Paul J Laurienti
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
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6
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Arif Y, Son JJ, Okelberry HJ, Johnson HJ, Willett MP, Wiesman AI, Wilson TW. Modulation of movement-related oscillatory signatures by cognitive interference in healthy aging. GeroScience 2024; 46:3021-3034. [PMID: 38175521 PMCID: PMC11009213 DOI: 10.1007/s11357-023-01057-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
Age-related changes in the neurophysiology underlying motor control are well documented, but whether these changes are specific to motor function or more broadly reflect age-related alterations in fronto-parietal circuitry serving attention and other higher-level processes remains unknown. Herein, we collected high-density magnetoencephalography (MEG) in 72 healthy adults (age 28-63 years) as they completed an adapted version of the multi-source interference task that involved two subtypes of cognitive interference (i.e., flanker and Simon) and their integration (i.e., multi-source). All MEG data were examined for age-related changes in neural oscillatory activity using a whole-brain beamforming approach. Our primary findings indicated robust behavioral differences in task performance based on the type of interference, as well as stronger beta oscillations with increasing age in the right dorsolateral prefrontal cortices (flanker and multi-source conditions), left parietal (flanker and Simon), and medial parietal regions (multi-source). Overall, these data indicate that healthy aging is associated with alterations in higher-order association cortices that are critical for attention and motor control in the context of cognitive interference.
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Affiliation(s)
- Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA.
| | - Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Hallie J Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Madelyn P Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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7
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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] [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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8
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Della Vedova G, Proverbio AM. Neural signatures of imaginary motivational states: desire for music, movement and social play. Brain Topogr 2024:10.1007/s10548-024-01047-1. [PMID: 38625520 DOI: 10.1007/s10548-024-01047-1] [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: 10/27/2023] [Accepted: 03/12/2024] [Indexed: 04/17/2024]
Abstract
The literature has demonstrated the potential for detecting accurate electrical signals that correspond to the will or intention to move, as well as decoding the thoughts of individuals who imagine houses, faces or objects. This investigation examines the presence of precise neural markers of imagined motivational states through the combining of electrophysiological and neuroimaging methods. 20 participants were instructed to vividly imagine the desire to move, listen to music or engage in social activities. Their EEG was recorded from 128 scalp sites and analysed using individual standardized Low-Resolution Brain Electromagnetic Tomographies (LORETAs) in the N400 time window (400-600 ms). The activation of 1056 voxels was examined in relation to the 3 motivational states. The most active dipoles were grouped in eight regions of interest (ROI), including Occipital, Temporal, Fusiform, Premotor, Frontal, OBF/IF, Parietal, and Limbic areas. The statistical analysis revealed that all motivational imaginary states engaged the right hemisphere more than the left hemisphere. Distinct markers were identified for the three motivational states. Specifically, the right temporal area was more relevant for "Social Play", the orbitofrontal/inferior frontal cortex for listening to music, and the left premotor cortex for the "Movement" desire. This outcome is encouraging in terms of the potential use of neural indicators in the realm of brain-computer interface, for interpreting the thoughts and desires of individuals with locked-in syndrome.
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Affiliation(s)
- Giada Della Vedova
- Cognitive Electrophysiology lab, Dept. of Psychology, University of Milano, Bicocca, Italy
| | - Alice Mado Proverbio
- Cognitive Electrophysiology lab, Dept. of Psychology, University of Milano, Bicocca, Italy.
- NeuroMI, Milan Center for Neuroscience, Milan, Italy.
- Department of Psychology of University of Milano-Bicocca, Piazza dell'Ateneo nuovo 1, Milan, 20162, Italy.
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9
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Sandini G, Sciutti A, Morasso P. Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents. Front Comput Neurosci 2024; 18:1349408. [PMID: 38585280 PMCID: PMC10995397 DOI: 10.3389/fncom.2024.1349408] [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: 12/04/2023] [Accepted: 02/20/2024] [Indexed: 04/09/2024] Open
Abstract
The trend in industrial/service robotics is to develop robots that can cooperate with people, interacting with them in an autonomous, safe and purposive way. These are the fundamental elements characterizing the fourth and the fifth industrial revolutions (4IR, 5IR): the crucial innovation is the adoption of intelligent technologies that can allow the development of cyber-physical systems, similar if not superior to humans. The common wisdom is that intelligence might be provided by AI (Artificial Intelligence), a claim that is supported more by media coverage and commercial interests than by solid scientific evidence. AI is currently conceived in a quite broad sense, encompassing LLMs and a lot of other things, without any unifying principle, but self-motivating for the success in various areas. The current view of AI robotics mostly follows a purely disembodied approach that is consistent with the old-fashioned, Cartesian mind-body dualism, reflected in the software-hardware distinction inherent to the von Neumann computing architecture. The working hypothesis of this position paper is that the road to the next generation of autonomous robotic agents with cognitive capabilities requires a fully brain-inspired, embodied cognitive approach that avoids the trap of mind-body dualism and aims at the full integration of Bodyware and Cogniware. We name this approach Artificial Cognition (ACo) and ground it in Cognitive Neuroscience. It is specifically focused on proactive knowledge acquisition based on bidirectional human-robot interaction: the practical advantage is to enhance generalization and explainability. Moreover, we believe that a brain-inspired network of interactions is necessary for allowing humans to cooperate with artificial cognitive agents, building a growing level of personal trust and reciprocal accountability: this is clearly missing, although actively sought, in current AI. The ACo approach is a work in progress that can take advantage of a number of research threads, some of them antecedent the early attempts to define AI concepts and methods. In the rest of the paper we will consider some of the building blocks that need to be re-visited in a unitary framework: the principles of developmental robotics, the methods of action representation with prospection capabilities, and the crucial role of social interaction.
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Affiliation(s)
| | | | - Pietro Morasso
- Italian Institute of Technology, Cognitive Architecture for Collaborative Technologies (CONTACT) and Robotics, Brain and Cognitive Sciences (RBCS) Research Units, Genoa, Italy
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10
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Gao K, He H, Lu B, Xie Q, Lu J, Yao D, Luo C, Li G. Discrepant changes in structure-function coupling in dancers and musicians. Cereb Cortex 2024; 34:bhae068. [PMID: 38489785 DOI: 10.1093/cercor/bhae068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/02/2024] [Accepted: 02/07/2024] [Indexed: 03/17/2024] Open
Abstract
Dance and music are well known to improve sensorimotor skills and cognitive functions. To reveal the underlying mechanism, previous studies focus on the brain plastic structural and functional effects of dance and music training. However, the discrepancy training effects on brain structure-function relationship are still blurred. Thus, proficient dancers, musicians, and controls were recruited in this study. The graph signal processing framework was employed to quantify the region-level and network-level relationship between brain function and structure. The results showed the increased coupling strength of the right ventromedial putamen in the dance and music groups. Distinctly, enhanced coupling strength of the ventral attention network, increased coupling strength of the right inferior frontal gyrus opercular area, and increased function connectivity of coupling function signal between the right and left middle frontal gyrus were only found in the dance group. Besides, the dance group indicated enhanced coupling function connectivity between the left inferior parietal lobule caudal area and the left superior parietal lobule intraparietal area compared with the music groups. The results might illustrate dance and music training's discrepant effect on the structure-function relationship of the subcortical and cortical attention networks. Furthermore, dance training seemed to have a greater impact on these networks.
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Affiliation(s)
- Kexin Gao
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Hui He
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Bao Lu
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Qiushui Xie
- Beijing Dance Academy, Wanshousi Road, Haidian District, Beijing, 100081, China
| | - Jing Lu
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Dezhong Yao
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Cheng Luo
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Gujing Li
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
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11
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Uslu S, Tangermann M, Vögele C. Estimating person-specific neural correlates of mental rotation: A machine learning approach. PLoS One 2024; 19:e0289094. [PMID: 38295045 PMCID: PMC10830051 DOI: 10.1371/journal.pone.0289094] [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: 06/15/2023] [Accepted: 12/29/2023] [Indexed: 02/02/2024] Open
Abstract
Using neurophysiological measures to model how the brain performs complex cognitive tasks such as mental rotation is a promising way towards precise predictions of behavioural responses. The mental rotation task requires objects to be mentally rotated in space. It has been used to monitor progressive neurological disorders. Up until now, research on neural correlates of mental rotation have largely focused on group analyses yielding models with features common across individuals. Here, we propose an individually tailored machine learning approach to identify person-specific patterns of neural activity during mental rotation. We trained ridge regressions to predict the reaction time of correct responses in a mental rotation task using task-related, electroencephalographic (EEG) activity of the same person. When tested on independent data of the same person, the regression model predicted the reaction times significantly more accurately than when only the average reaction time was used for prediction (bootstrap mean difference of 0.02, 95% CI: 0.01-0.03, p < .001). When tested on another person's data, the predictions were significantly less accurate compared to within-person predictions. Further analyses revealed that considering person-specific reaction times and topographical activity patterns substantially improved a model's generalizability. Our results indicate that a more individualized approach towards neural correlates can improve their predictive performance of behavioural responses, particularly when combined with machine learning.
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Affiliation(s)
- Sinan Uslu
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Michael Tangermann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Claus Vögele
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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12
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Yeon J, Larson AS, Rahnev D, D'Esposito M. Task learning is subserved by a domain-general brain network. Cereb Cortex 2024; 34:bhae013. [PMID: 38282457 DOI: 10.1093/cercor/bhae013] [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: 08/14/2023] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/30/2024] Open
Abstract
One of the most important human faculties is the ability to acquire not just new memories but the capacity to perform entirely new tasks. However, little is known about the brain mechanisms underlying the learning of novel tasks. Specifically, it is unclear to what extent learning of different tasks depends on domain-general and/or domain-specific brain mechanisms. Here human subjects (n = 45) learned to perform 6 new tasks while undergoing functional MRI. The different tasks required the engagement of perceptual, motor, and various cognitive processes related to attention, expectation, speed-accuracy tradeoff, and metacognition. We found that a bilateral frontoparietal network was more active during the initial compared with the later stages of task learning, and that this effect was stronger for task variants requiring more new learning. Critically, the same frontoparietal network was engaged by all 6 tasks, demonstrating its domain generality. Finally, although task learning decreased the overall activity in the frontoparietal network, it increased the connectivity strength between the different nodes of that network. These results demonstrate the existence of a domain-general brain network whose activity and connectivity reflect learning for a variety of new tasks, and thus may underlie the human capacity for acquiring new abilities.
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Affiliation(s)
- Jiwon Yeon
- School of Psychology, Georgia Institute of Technology, Atlanta, GA 30332, United States
- Department of Psychology, Stanford University, Stanford, CA, 94305, United States
| | - Alina Sue Larson
- Department of Psychology, University of California, Santa Cruz, CA 90564, United States
| | - Dobromir Rahnev
- School of Psychology, Georgia Institute of Technology, Atlanta, GA 30332, United States
| | - Mark D'Esposito
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, United States
- Department of Psychology, University of California, Berkeley, CA, 94720, United States
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13
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Doganci N, Yahia Coll S, Marti E, Ptak R. Anatomical predictors of mental rotation with bodily and non-bodily stimuli: A lesion-symptom study. Neuropsychologia 2024; 193:108775. [PMID: 38135209 DOI: 10.1016/j.neuropsychologia.2023.108775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 12/24/2023]
Abstract
Mental rotation (MR) is widely regarded as a quintessential example of an embodied cognitive process. This viewpoint stems from the functional parallels between MR and the physical rotation of tangible objects, as well as participants' inclination to employ motor-based strategies when tackling MR tasks involving bodily stimuli. These commonalities imply that MR may depend on brain regions crucial for the planning and execution of motor programs. However, there is disagreement regarding the anatomy of MR between findings from functional imaging and lesion studies involving brain-injured patients. The former indicate the involvement of the right-hemispheric parietal cortex, while the latter underscore the significance of posterior areas in the left hemisphere. In this study, we aimed to discern the neural underpinnings of MR using lesion-symptom mapping (LSM) for both bodily (hands) and non-bodily (letters) stimuli. Behavioral results from the two MR tasks revealed impaired MR of bodily stimuli in patients with left hemisphere damage. LSM results pinpointed the left primary motor and somatosensory cortices, along with the superior parietal lobule, as the anatomical substrates of MR for both bodily and non-bodily stimuli. Furthermore, damage to the left angular gyrus, supramarginal gyrus, supplementary motor area, and retrosplenial cortex was associated with MR of non-bodily stimuli. These findings support the causal involvement of the left hemisphere in MR and underscore the existence of a common anatomical substrate in brain regions pertinent to motor planning and execution.
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Affiliation(s)
- Naz Doganci
- Laboratory of Cognitive Neurorehabilitation, Faculty of medicine, University of Geneva, 1206, Geneva, Switzerland.
| | - Sélim Yahia Coll
- Laboratory of Cognitive Neurorehabilitation, Faculty of medicine, University of Geneva, 1206, Geneva, Switzerland
| | - Emilie Marti
- Laboratory of Cognitive Neurorehabilitation, Faculty of medicine, University of Geneva, 1206, Geneva, Switzerland
| | - Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Faculty of medicine, University of Geneva, 1206, Geneva, Switzerland; Division of Neurorehabilitation, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
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14
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Corsi MC, Sorrentino P, Schwartz D, George N, Gollo LL, Chevallier S, Hugueville L, Kahn AE, Dupont S, Bassett DS, Jirsa V, De Vico Fallani F. Measuring neuronal avalanches to inform brain-computer interfaces. iScience 2024; 27:108734. [PMID: 38226174 PMCID: PMC10788504 DOI: 10.1016/j.isci.2023.108734] [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: 08/08/2023] [Revised: 10/18/2023] [Accepted: 12/12/2023] [Indexed: 01/17/2024] Open
Abstract
Large-scale interactions among multiple brain regions manifest as bursts of activations called neuronal avalanches, which reconfigure according to the task at hand and, hence, might constitute natural candidates to design brain-computer interfaces (BCIs). To test this hypothesis, we used source-reconstructed magneto/electroencephalography during resting state and a motor imagery task performed within a BCI protocol. To track the probability that an avalanche would spread across any two regions, we built an avalanche transition matrix (ATM) and demonstrated that the edges whose transition probabilities significantly differed between conditions hinged selectively on premotor regions in all subjects. Furthermore, we showed that the topology of the ATMs allows task-decoding above the current gold standard. Hence, our results suggest that neuronal avalanches might capture interpretable differences between tasks that can be used to inform brain-computer interfaces.
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Affiliation(s)
- Marie-Constance Corsi
- Sorbonne Université, Institut du cerveau - Paris Brain Institute - ICM, CNRS, Inserm, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
- Inria, Aramis Team, Paris, France
| | - Pierpaolo Sorrentino
- Institut de Neuroscience des Systèmes, Aix-Marseille University, Inserm, Marseille, France
| | - Denis Schwartz
- Institut du Cerveau - Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, CENIR, Centre MEG-EEG, Paris, France
| | - Nathalie George
- Sorbonne Université, Institut du cerveau - Paris Brain Institute - ICM, CNRS, Inserm, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
- Institut du Cerveau - Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, CENIR, Centre MEG-EEG, Paris, France
| | - Leonardo L. Gollo
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria 3168, Australia
| | | | - Laurent Hugueville
- Institut de Neuroscience des Systèmes, Aix-Marseille University, Inserm, Marseille, France
| | - Ari E. Kahn
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
| | - Sophie Dupont
- Sorbonne Université, Institut du cerveau - Paris Brain Institute - ICM, CNRS, Inserm, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | | | - Viktor Jirsa
- Institut de Neuroscience des Systèmes, Aix-Marseille University, Inserm, Marseille, France
| | - Fabrizio De Vico Fallani
- Sorbonne Université, Institut du cerveau - Paris Brain Institute - ICM, CNRS, Inserm, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
- Inria, Aramis Team, Paris, France
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15
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Kraeutner SN, Rubino C, Ferris JK, Rinat S, Penko L, Chiu L, Greeley B, Jones CB, Larssen BC, Boyd LA. Frontoparietal function and underlying structure reflect capacity for motor skill acquisition during healthy aging. Neurobiol Aging 2024; 133:78-86. [PMID: 37918189 DOI: 10.1016/j.neurobiolaging.2023.10.007] [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: 03/06/2023] [Revised: 09/22/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
While capacity for motor skill acquisition changes with healthy aging, there has been little consideration of how age-related changes in brain function or baseline brain structure support motor skill acquisition. We examined: (1) age-dependent changes in functional reorganization related to frontoparietal regions during motor skill acquisition, and (2) whether capacity for motor skill acquisition relates to baseline white matter microstructure in frontoparietal tracts. Healthy older and younger adults engaged in 4 weeks of skilled motor practice. Resting-state functional connectivity (rsFC) assessed functional reorganization before and after practice. Diffusion tensor imaging indexed microstructure of a frontoparietal tract at baseline, generated by rsFC seeds. Motor skill acquisition was associated with decreases in rsFC in healthy older adults and increases in rsFC in healthy younger adults. Frontoparietal tract microstructure was lower in healthy older versus younger adults, yet it was negatively associated with rate of skill acquisition regardless of group. Findings indicate that age-dependent alterations in frontoparietal function and baseline structure of a frontoparietal tract reflect capacity for motor skill acquisition.
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Affiliation(s)
- Sarah N Kraeutner
- Department of Psychology, University of British Columbia, Kelowna, British Columbia, Canada; Djavad Mowafaghian, Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.
| | - Cristina Rubino
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer K Ferris
- Gerontology Research Centre, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Shie Rinat
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lauren Penko
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Larissa Chiu
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Greeley
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christina B Jones
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Beverley C Larssen
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lara A Boyd
- Djavad Mowafaghian, Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
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16
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Deck BL, Kelkar A, Erickson B, Erani F, McConathey E, Sacchetti D, Faseyitan O, Hamilton R, Medaglia JD. Individual-level functional connectivity predicts cognitive control efficiency. Neuroimage 2023; 283:120386. [PMID: 37820860 DOI: 10.1016/j.neuroimage.2023.120386] [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: 05/05/2023] [Revised: 08/30/2023] [Accepted: 09/21/2023] [Indexed: 10/13/2023] Open
Abstract
Cognitive control (CC) is essential for problem-solving in everyday life, and CC-related deficits occur alongside costly and debilitating disorders. The tri-partite model suggests that CC comprises multiple behaviors, including switching, inhibiting, and updating. Activity within the fronto-parietal control network B (FPCN-B), the dorsal attention network (DAN), the cingulo-opercular network (CON), and the lateral default-mode network (L-DMN) is related to switching and inhibiting behaviors. However, our understanding of how these brain regions interact to bring about cognitive switching and inhibiting in individuals is unclear. In the current study, subjects performed two in-scanner tasks that required switching and inhibiting. We used support vector regression (SVR) models containing individually-estimated functional connectivity between the FPCN-B, DAN, CON and L-DMN to predict switching and inhibiting behaviors. We observed that: inter-network connectivity can predict inhibiting and switching behaviors in individuals, and the L-DMN plays a role in switching and inhibiting behaviors. Therefore, individually estimated inter-network connections are markers of CC behaviors, and CC behaviors may arise due to interactions between a set of networks.
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Affiliation(s)
- Benjamin L Deck
- Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA
| | - Apoorva Kelkar
- Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA
| | - Brian Erickson
- Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA
| | - Fareshte Erani
- Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA
| | - Eric McConathey
- Department of Neurology, The University of Pennsylvania: Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - Daniela Sacchetti
- Department of Neurology, The University of Pennsylvania: Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - Olufunsho Faseyitan
- Department of Neurology, The University of Pennsylvania: Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - Roy Hamilton
- Department of Neurology, The University of Pennsylvania: Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - John D Medaglia
- Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA; Department of Neurology, The University of Pennsylvania: Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, 19104, PA, USA.
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17
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Doganci N, Iannotti GR, Coll SY, Ptak R. How embodied is cognition? fMRI and behavioral evidence for common neural resources underlying motor planning and mental rotation of bodily stimuli. Cereb Cortex 2023; 33:11146-11156. [PMID: 37804243 PMCID: PMC10687356 DOI: 10.1093/cercor/bhad352] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 10/09/2023] Open
Abstract
Functional neuroimaging shows that dorsal frontoparietal regions exhibit conjoint activity during various motor and cognitive tasks. However, it is unclear whether these regions serve several, computationally independent functions, or underlie a motor "core process" that is reused to serve higher-order functions. We hypothesized that mental rotation capacity relies on a phylogenetically older motor process that is rooted within these areas. This hypothesis entails that neural and cognitive resources recruited during motor planning predict performance in seemingly unrelated mental rotation tasks. To test this hypothesis, we first identified brain regions associated with motor planning by measuring functional activations to internally-triggered vs externally-triggered finger presses in 30 healthy participants. Internally-triggered finger presses yielded significant activations in parietal, premotor, and occipitotemporal regions. We then asked participants to perform two mental rotation tasks outside the scanner, consisting of hands or letters as stimuli. Parietal and premotor activations were significant predictors of individual reaction times when mental rotation involved hands. We found no association between motor planning and performance in mental rotation of letters. Our results indicate that neural resources in parietal and premotor cortex recruited during motor planning also contribute to mental rotation of bodily stimuli, suggesting a common core component underlying both capacities.
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Affiliation(s)
- Naz Doganci
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Giannina Rita Iannotti
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
- Department of Radiology and Medical Informatics, University Hospitals of Geneva, 1206 Geneva, Switzerland
- Department of Neurosurgery, University Hospitals of Geneva, 1206 Geneva, Switzerland
| | - Sélim Yahia Coll
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
- Department of Neurosurgery, University Hospitals of Geneva, 1206 Geneva, Switzerland
- Division of Neurorehabilitation, University Hospitals of Geneva, 1206 Geneva, Switzerland
| | - Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
- Division of Neurorehabilitation, University Hospitals of Geneva, 1206 Geneva, Switzerland
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18
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Peylo C, Sterner EF, Zeng Y, Friedrich EV. TMS-induced inhibition of the left premotor cortex modulates illusory social perception. iScience 2023; 26:107297. [PMID: 37559906 PMCID: PMC10407139 DOI: 10.1016/j.isci.2023.107297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/16/2023] [Accepted: 07/03/2023] [Indexed: 08/11/2023] Open
Abstract
Communicative actions from one person are used to predict another person's response. However, in some cases, these predictions can outweigh the processing of sensory information and lead to illusory social perception such as seeing two people interact, although only one is present (i.e., seeing a Bayesian ghost). We applied either inhibitory brain stimulation over the left premotor cortex (i.e., real TMS) or sham TMS. Then, participants indicated the presence or absence of a masked agent that followed a communicative or individual gesture of another agent. As expected, participants had more false alarms in the communicative (i.e., Bayesian ghosts) than individual condition in the sham TMS session and this difference between conditions vanished after real TMS. In contrast to our hypothesis, the number of false alarms increased (rather than decreased) after real TMS. These pre-registered findings confirm the significance of the premotor cortex for social action predictions and illusory social perception.
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Affiliation(s)
- Charline Peylo
- Department of Psychology / Research Unit Biological Psychology, Ludwig-Maximilians-Universität München, Munich, 80802 Bavaria, Germany
| | - Elisabeth F. Sterner
- Department of Psychology / Research Unit Biological Psychology, Ludwig-Maximilians-Universität München, Munich, 80802 Bavaria, Germany
- Department of Diagnostic and Interventional Neuroradiology / School of Medicine, Technical University of Munich, Munich, 81675 Bavaria, Germany
| | - Yifan Zeng
- Department of Psychology / Research Unit Biological Psychology, Ludwig-Maximilians-Universität München, Munich, 80802 Bavaria, Germany
| | - Elisabeth V.C. Friedrich
- Department of Psychology / Research Unit Biological Psychology, Ludwig-Maximilians-Universität München, Munich, 80802 Bavaria, Germany
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19
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Wilken S, Böttcher A, Adelhöfer N, Raab M, Hoffmann S, Beste C. The neurophysiology of continuous action monitoring. iScience 2023; 26:106939. [PMID: 37332673 PMCID: PMC10275727 DOI: 10.1016/j.isci.2023.106939] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/28/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Monitoring actions is essential for goal-directed behavior. However, as opposed to short-lasting, and regularly reinstating monitoring functions, the neural processes underlying continuous action monitoring are poorly understood. We investigate this using a pursuit-tracking paradigm. We show that beta band activity likely maintains the sensorimotor program, while theta and alpha bands probably support attentional sampling and information gating, respectively. Alpha and beta band activity are most relevant during the initial tracking period, when sensorimotor calibrations are most intense. Theta band shifts from parietal to frontal cortices throughout tracking, likely reflecting a shift in the functional relevance from attentional sampling to action monitoring. This study shows that resource allocation mechanisms in prefrontal areas and stimulus-response mapping processes in the parietal cortex are crucial for adapting sensorimotor processes. It fills a knowledge gap in understanding the neural processes underlying action monitoring and suggests new directions for examining sensorimotor integration in more naturalistic experiments.
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Affiliation(s)
- Saskia Wilken
- General Psychology: Judgment, Decision Making, and 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, Dresden, Germany
| | - Nico Adelhöfer
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
- 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
| | - Sven Hoffmann
- General Psychology: Judgment, Decision Making, and Action, Institute of Psychology, University of Hagen, Hagen, Germany
| | - 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, Dresden, Germany
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20
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Boerger TF, Pahapill P, Butts AM, Arocho-Quinones E, Raghavan M, Krucoff MO. Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities. Front Hum Neurosci 2023; 17:1170419. [PMID: 37520929 PMCID: PMC10372448 DOI: 10.3389/fnhum.2023.1170419] [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: 02/20/2023] [Accepted: 05/16/2023] [Indexed: 08/01/2023] Open
Abstract
In recent years, a paradigm shift in neuroscience has been occurring from "localizationism," or the idea that the brain is organized into separately functioning modules, toward "connectomics," or the idea that interconnected nodes form networks as the underlying substrates of behavior and thought. Accordingly, our understanding of mechanisms of neurological function, dysfunction, and recovery has evolved to include connections, disconnections, and reconnections. Brain tumors provide a unique opportunity to probe large-scale neural networks with focal and sometimes reversible lesions, allowing neuroscientists the unique opportunity to directly test newly formed hypotheses about underlying brain structural-functional relationships and network properties. Moreover, if a more complete model of neurological dysfunction is to be defined as a "disconnectome," potential avenues for recovery might be mapped through a "reconnectome." Such insight may open the door to novel therapeutic approaches where previous attempts have failed. In this review, we briefly delve into the most clinically relevant neural networks and brain mapping techniques, and we examine how they are being applied to modern neurosurgical brain tumor practices. We then explore how brain tumors might teach us more about mechanisms of global brain dysfunction and recovery through pre- and postoperative longitudinal connectomic and behavioral analyses.
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Affiliation(s)
- Timothy F. Boerger
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Peter Pahapill
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Alissa M. Butts
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
- Mayo Clinic, Rochester, MN, United States
| | - Elsa Arocho-Quinones
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Manoj Raghavan
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Max O. Krucoff
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
- Department of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States
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21
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Böttcher A, Wilken S, Adelhöfer N, Raab M, Hoffmann S, Beste C. A dissociable functional relevance of theta- and beta-band activities during complex sensorimotor integration. Cereb Cortex 2023:7180375. [PMID: 37246154 DOI: 10.1093/cercor/bhad191] [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: 03/28/2023] [Revised: 05/12/2023] [Accepted: 05/14/2023] [Indexed: 05/30/2023] Open
Abstract
Sensorimotor integration processes play a central role in daily life and require that different sources of sensory information become integrated: i.e. the information related to the object being under control of the agent (i.e. indicator) and the information about the goal of acting. Yet, how this is accomplished on a neurophysiological level is contentious. We focus on the role of theta- and beta-band activities and examine which neuroanatomical structures are involved. Healthy participants (n = 41) performed 3 consecutive pursuit-tracking EEG experiments in which the source of visual information available for tracking was varied (i.e. that of the indicator and the goal of acting). The initial specification of indicator dynamics is determined through beta-band activity in parietal cortices. When information about the goal was not accessible, but operating the indicator was required nevertheless, this incurred increased theta-band activity in the superior frontal cortex, signaling a higher need for control. Later, theta- and beta-band activities encode distinct information within the ventral processing stream: Theta-band activity is affected by the indicator information, while beta-band activity is affected by the information about the action goal. Complex sensorimotor integration is realized through a cascade of theta- and beta-band activities in a ventral-stream-parieto-frontal network.
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Affiliation(s)
- Adriana Böttcher
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
- Faculty of Medicine, University Neuropsychology Center, TU Dresden, Dresden, Germany
| | - Saskia Wilken
- General Psychology: Judgment, Decision Making, & Action, Institute of Psychology, University of Hagen, Hagen, 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, United Kingdom
| | - Sven Hoffmann
- General Psychology: Judgment, Decision Making, & Action, Institute of Psychology, University of Hagen, Hagen, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
- Faculty of Medicine, University Neuropsychology Center, TU Dresden, Dresden, Germany
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22
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Wen X, Han B, Li H, Dou F, Wei G, Hou G, Wu X. Unbalanced amygdala communication in major depressive disorder. J Affect Disord 2023; 329:192-206. [PMID: 36841299 DOI: 10.1016/j.jad.2023.02.091] [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: 08/19/2022] [Revised: 02/06/2023] [Accepted: 02/19/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND Previous studies suggested an association between functional alteration of the amygdala and typical major depressive disorder (MDD) symptoms. Examining whether and how the interaction between the amygdala and regions/functional networks is altered in patients with MDD is important for understanding its neural basis. METHODS Resting-state functional magnetic resonance imaging data were recorded from 67 patients with MDD and 74 age- and sex-matched healthy controls (HCs). A framework for large-scale network analysis based on seed mappings of amygdala sub-regions, using a multi-connectivity-indicator strategy (cross-correlation, total interdependencies (TI), Granger causality (GC), and machine learning), was employed. Multiple indicators were compared between the two groups. The altered indicators were ranked in a supporting-vector machine-based procedure and associated with the Hamilton Rating Scale for Depression scores. RESULTS The amygdala connectivity with the default mode network and ventral attention network regions was enhanced and that with the somatomotor network, dorsal frontoparietal network, and putamen regions in patients with MDD was reduced. The machine learning analysis highlighted altered indicators that were most conducive to the classification between the two groups. LIMITATIONS Most patients with MDD received different pharmacological treatments. It is difficult to illustrate the medication state's effect on the alteration model because of its complex situation. CONCLUSION The results indicate an unbalanced interaction model between the amygdala and functional networks and regions essential for various emotional and cognitive functions. The model can help explain potential aberrancy in the neural mechanisms that underlie the functional impairments observed across various domains in patients with MDD.
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Affiliation(s)
- Xiaotong Wen
- Department of Psychology, Renmin University of China, Beijing 100872, China; Laboratory of the Department of Psychology, Renmin University of China, Beijing 100872, China; Interdisciplinary Platform of Philosophy and Cognitive Science, Renmin University of China, 100872, China.
| | - Bukui Han
- Department of Psychology, Renmin University of China, Beijing 100872, China; Laboratory of the Department of Psychology, Renmin University of China, Beijing 100872, China
| | - Huanhuan Li
- Department of Psychology, Renmin University of China, Beijing 100872, China; Laboratory of the Department of Psychology, Renmin University of China, Beijing 100872, China; Interdisciplinary Platform of Philosophy and Cognitive Science, Renmin University of China, 100872, China.
| | - Fengyu Dou
- Department of Psychology, Renmin University of China, Beijing 100872, China
| | - Guodong Wei
- Department of Psychology, Renmin University of China, Beijing 100872, China
| | - Gangqiang Hou
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen 518020, China
| | - Xia Wu
- School of Artificial Intelligence, Beijing Normal University, Beijing 100093, China
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23
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Hua M, Shi D, Xu W, Zhu L, Hao X, Zhu B, Shu Q, Lozoff B, Geng F, Shao J. Differentiation between fetal and postnatal iron deficiency in altering brain substrates of cognitive control in pre-adolescence. BMC Med 2023; 21:167. [PMID: 37143078 PMCID: PMC10161450 DOI: 10.1186/s12916-023-02850-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 03/27/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Early iron deficiency (ID) is a common risk factor for poorer neurodevelopment, limiting children's potential and contributing to global burden. However, it is unclear how early ID alters the substrate of brain functions supporting high-order cognitive abilities and whether the timing of early ID matters in terms of long-term brain development. This study aimed to examine the effects of ID during fetal or early postnatal periods on brain activities supporting proactive and reactive cognitive control in pre-adolescent children. METHODS Participants were part of a longitudinal cohort enrolled at birth in southeastern China between December 2008 and November 2011. Between July 2019 and October 2021, 115 children aged 8-11 years were invited to participate in this neuroimaging study. Final analyses included 71 children: 20 with fetal ID, 24 with ID at 9 months (postnatal ID), and 27 iron-sufficient at birth and 9 months. Participants performed a computer-based behavioral task in a Magnetic Resonance Imaging scanner to measure proactive and reactive cognitive control. Outcome measures included accuracy, reaction times, and brain activity. Linear mixed modeling and the 3dlme command in Analysis of Functional NeuroImages (AFNI) were separately used to analyze behavioral performance and neuroimaging data. RESULTS Faster responses in proactive vs. reactive conditions indicated that all groups could use proactive or reactive cognitive control according to contextual demands. However, the fetal ID group was lower in general accuracy than the other 2 groups. Per the demands of cues and targets, the iron-sufficient group showed greater activation of wide brain regions in proactive vs. reactive conditions. In contrast, such condition differences were reversed in the postnatal ID group. Condition differences in brain activation, shown in postnatal ID and iron-sufficient groups, were not found in the fetal ID group. This group specifically showed greater activation of brain regions in the reward pathway in proactive vs. reactive conditions. CONCLUSIONS Early ID was associated with altered brain functions supporting proactive and reactive cognitive control in childhood. Alterations differed between fetal and postnatal ID groups. The findings imply that iron supplement alone is insufficient to prevent persisting brain alterations associated with early ID. Intervention strategies in addition to the iron supplement should consider ID timing.
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Affiliation(s)
- Mengdi Hua
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Donglin Shi
- Department of Curriculum and Learning Sciences, Zhejiang University, Hangzhou, China
| | - Wenwen Xu
- Department of Curriculum and Learning Sciences, Zhejiang University, Hangzhou, China
| | - Liuyan Zhu
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoxin Hao
- Department of Curriculum and Learning Sciences, Zhejiang University, Hangzhou, China
| | - Bingquan Zhu
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiang Shu
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Betsy Lozoff
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Fengji Geng
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Department of Curriculum and Learning Sciences, Zhejiang University, Hangzhou, China.
- National Clinical Research Center for Child Health, Hangzhou, China.
| | - Jie Shao
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- National Clinical Research Center for Child Health, Hangzhou, China.
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24
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Ren Q, Kaiser J, Gentsch A, Schütz-Bosbach S. Prepared to stop: how sense of agency in a preceding trial modulates inhibitory control in the current trial. Cereb Cortex 2023:7147023. [PMID: 37125462 DOI: 10.1093/cercor/bhad141] [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: 11/18/2022] [Revised: 04/04/2023] [Accepted: 05/05/2023] [Indexed: 05/02/2023] Open
Abstract
Feeling in control of actions and events can enhance motivation for further actions. How this sense of agency (SoA) in fact influences flexible motor control remains poorly understood. Here, we investigated the effect of SoA on subsequent response inhibition in a modified go/no-go task with EEG recordings. We manipulated participants' SoA by varying the presence, predictability, and emotional valence of a visual outcome for a given motor action. When participants unexpectedly did not receive any visible outcome following their action on trial n - 1, they exhibited slower responses and lower hit rates to the go signal but higher rates of successful inhibition to the no-go signal on trial n, regardless of the emotional valence of the expected action outcome. Furthermore, enhanced inhibitory tendencies were accompanied by reduced N2 and P3 amplitudes, midfrontal theta power, and theta synchronization between midfrontal and medial to parietal areas, indicating that less top-down control is required for successful response inhibition on trial n after experiencing low SoA on trial n - 1. These findings suggest that feeling less in control in a preceding trial makes it easier to implement inhibitory control in the current trial, thereby providing new insights into the role of SoA in goal-directed behavior.
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Affiliation(s)
- Qiaoyue Ren
- General and Experimental Psychology Unit, Department of Psychology, LMU, Munich 80802, Germany
| | - Jakob Kaiser
- General and Experimental Psychology Unit, Department of Psychology, LMU, Munich 80802, Germany
| | - Antje Gentsch
- General and Experimental Psychology Unit, Department of Psychology, LMU, Munich 80802, Germany
| | - Simone Schütz-Bosbach
- General and Experimental Psychology Unit, Department of Psychology, LMU, Munich 80802, Germany
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25
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Kim E, Lee WH, Seo HG, Nam HS, Kim YJ, Kang MG, Bang MS, Kim S, Oh BM. Deciphering Functional Connectivity Differences Between Motor Imagery and Execution of Target-Oriented Grasping. Brain Topogr 2023; 36:433-446. [PMID: 37060497 DOI: 10.1007/s10548-023-00956-x] [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: 08/21/2022] [Accepted: 03/20/2023] [Indexed: 04/16/2023]
Abstract
This study aimed to delineate overlapping and distinctive functional connectivity in visual motor imagery, kinesthetic motor imagery, and motor execution of target-oriented grasping action of the right hand. Functional magnetic resonance imaging data were obtained from 18 right-handed healthy individuals during each condition. Seed-based connectivity and multi-voxel pattern analyses were employed after selecting seed regions with the left primary motor cortex and supplementary motor area. There was equivalent seed-based connectivity during the three conditions in the bilateral frontoparietal and temporal areas. When the seed region was the left primary motor cortex, increased connectivity was observed in the left cuneus and superior frontal area during visual and kinesthetic motor imageries, respectively, compared with that during motor execution. Multi-voxel pattern analyses revealed that each condition was differentiated by spatially distributed connectivity patterns of the left primary motor cortex within the right cerebellum VI, cerebellum crus II, and left lingual area. When the seed region was the left supplementary motor area, the connectivity patterns within the right putamen, thalamus, cerebellar areas IV-V, and left superior parietal lobule were significantly classified above chance level across the three conditions. The present findings improve our understanding of the spatial representation of functional connectivity and its specific patterns among motor imagery and motor execution. The strength and fine-grained connectivity patterns of the brain areas can discriminate between motor imagery and motor execution.
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Affiliation(s)
- Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Woo Hyung Lee
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Han Gil Seo
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung Seok Nam
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoon Jae Kim
- Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Min-Gu Kang
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Moon Suk Bang
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea
| | - Sungwan Kim
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Institute of Bioengineering, Seoul National University, Seoul, Republic of Korea.
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea.
- Institute on aging, Seoul National University, Seoul, Republic of Korea.
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26
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García-Pérez Á, González-Rodríguez A, Godoy-Giménez M, Sayans-Jiménez P, Cañadas F, Estévez ÁF. Mental rotation and schizotypal personality traits: A Bayesian approach. Scand J Psychol 2023; 64:113-122. [PMID: 36169211 DOI: 10.1111/sjop.12874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 09/03/2022] [Accepted: 09/11/2022] [Indexed: 11/28/2022]
Abstract
People diagnosed with schizophrenia exhibit mental rotation differences, suggesting that clinical levels of positive symptoms, such as psychotic hallucinations, are related to disruptions in their monitoring and manipulation of mental representations. According to the psychosis continuum, findings in people with a high level of schizotypal personality traits are expected to be qualitatively similar, but research concerning this topic is scarce. A spared mental imagery manipulation in this population only could suggest that this ability might be a possible protective factor, or that the emergence of clinical-level positive symptoms could be paired with disruptions in this capacity. To explore this issue, 205 undergraduate students (122 women) completed a novel mental rotation task identifying the stimulus that was a 90, 180, or 270° rotation of a black circle with colored portions and were assessed with the Schizotypal Personality Questionnaire. Men performed better in most conditions. No relationship was detected between schizotypal personality traits and accuracy in the task. These results do not support that mental imagery manipulation disruptions may be related to schizotypal personality traits in non-clinical populations. Thus, they might instead be associated with the onset of psychosis disorders as mental representation handling is hindered. However, additional research is required including the general population, as well as those with higher levels of psychotic symptoms and psychosis disorders. Future research could also focus on working memory processes related to mental representation manipulations of different sensory modalities such as auditory mental representations and their relationship with schizotypal personality traits and clinical populations.
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Affiliation(s)
- Ángel García-Pérez
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
| | - Antonio González-Rodríguez
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
| | - Marta Godoy-Giménez
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
| | - Pablo Sayans-Jiménez
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
| | - Fernando Cañadas
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
| | - Ángeles F Estévez
- Department of Psychology, University of Almería, Almería, Spain
- CEINSA Health Research Center, University of Almeria, Almería, Spain
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27
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Doganci N, Iannotti GR, Ptak R. Task-based functional connectivity identifies two segregated networks underlying intentional action. Neuroimage 2023; 268:119866. [PMID: 36610680 DOI: 10.1016/j.neuroimage.2023.119866] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/26/2022] [Accepted: 01/04/2023] [Indexed: 01/06/2023] Open
Abstract
While much of motor behavior is automatic, intentional action is necessary for the selection and initiation of controlled motor acts and is thus an essential part of goal-directed behavior. Neuroimaging studies have shown that self-generated action implicates several dorsal and ventral frontoparietal areas. However, knowledge of the functional coupling between these brain regions during intentional action remains limited. We here studied brain activations and functional connectivity (FC) of thirty right-handed healthy participants performing a finger pressing task instructed to use a specific finger (externally-triggered action) or to select one of four fingers randomly (internally-generated action). Participants performed the task in alternating order either with their dominant right hand or the left hand. Consistent with previous studies, we observed stronger involvement of posterior parietal cortex and premotor regions when contrasting internally-generated with externally-triggered action. Interestingly, this contrast also revealed significant engagement of medial occipitotemporal regions including the left lingual and right fusiform gyrus. Task-based FC analysis identified increased functional coupling among frontoparietal regions as well as increased and decreased coupling between occipitotemporal regions, thus differentiating between two segregated networks. When comparing results of the dominant and nondominant hand we found less activation, but stronger connectivity for the former, suggesting increased neural efficiency when participants use their dominant hand. Taken together, our results reveal that two segregated networks that encompass the frontoparietal and occipitotemporal cortex contribute independently to intentional action.
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Affiliation(s)
- Naz Doganci
- Department of Clinical Neurosciences, Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland
| | - Giannina Rita Iannotti
- Department of Clinical Neurosciences, Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; Department of Radiology and Medical Informatics, University Hospitals of Geneva, Switzerland; Department of Neurosurgery, University Hospitals of Geneva, Switzerland
| | - Radek Ptak
- Department of Clinical Neurosciences, Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; Division of Neurorehabilitation, University Hospitals of Geneva, Switzerland.
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28
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Li B, Solanas MP, Marrazzo G, Raman R, Taubert N, Giese M, Vogels R, de Gelder B. A large-scale brain network of species-specific dynamic human body perception. Prog Neurobiol 2023; 221:102398. [PMID: 36565985 DOI: 10.1016/j.pneurobio.2022.102398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/25/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
This ultrahigh field 7 T fMRI study addressed the question of whether there exists a core network of brain areas at the service of different aspects of body perception. Participants viewed naturalistic videos of monkey and human faces, bodies, and objects along with mosaic-scrambled videos for control of low-level features. Independent component analysis (ICA) based network analysis was conducted to find body and species modulations at both the voxel and the network levels. Among the body areas, the highest species selectivity was found in the middle frontal gyrus and amygdala. Two large-scale networks were highly selective to bodies, dominated by the lateral occipital cortex and right superior temporal sulcus (STS) respectively. The right STS network showed high species selectivity, and its significant human body-induced node connectivity was focused around the extrastriate body area (EBA), STS, temporoparietal junction (TPJ), premotor cortex, and inferior frontal gyrus (IFG). The human body-specific network discovered here may serve as a brain-wide internal model of the human body serving as an entry point for a variety of processes relying on body descriptions as part of their more specific categorization, action, or expression recognition functions.
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Affiliation(s)
- Baichen Li
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands
| | - Marta Poyo Solanas
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands
| | - Giuseppe Marrazzo
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands
| | - Rajani Raman
- Laboratory for Neuro, and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Nick Taubert
- Section for Computational Sensomotorics, Centre for Integrative Neuroscience & Hertie Institute for Clinical Brain Research, University Clinic Tübingen, Tübingen 72076, Germany
| | - Martin Giese
- Section for Computational Sensomotorics, Centre for Integrative Neuroscience & Hertie Institute for Clinical Brain Research, University Clinic Tübingen, Tübingen 72076, Germany
| | - Rufin Vogels
- Laboratory for Neuro, and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Beatrice de Gelder
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands; Department of Computer Science, University College London, London WC1E 6BT, UK.
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29
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Ribarič S. Detecting Early Cognitive Decline in Alzheimer's Disease with Brain Synaptic Structural and Functional Evaluation. Biomedicines 2023; 11:biomedicines11020355. [PMID: 36830892 PMCID: PMC9952956 DOI: 10.3390/biomedicines11020355] [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: 12/23/2022] [Revised: 01/22/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
Early cognitive decline in patients with Alzheimer's (AD) is associated with quantifiable structural and functional connectivity changes in the brain. AD dysregulation of Aβ and tau metabolism progressively disrupt normal synaptic function, leading to loss of synapses, decreased hippocampal synaptic density and early hippocampal atrophy. Advances in brain imaging techniques in living patients have enabled the transition from clinical signs and symptoms-based AD diagnosis to biomarkers-based diagnosis, with functional brain imaging techniques, quantitative EEG, and body fluids sampling. The hippocampus has a central role in semantic and episodic memory processing. This cognitive function is critically dependent on normal intrahippocampal connections and normal hippocampal functional connectivity with many cortical regions, including the perirhinal and the entorhinal cortex, parahippocampal cortex, association regions in the temporal and parietal lobes, and prefrontal cortex. Therefore, decreased hippocampal synaptic density is reflected in the altered functional connectivity of intrinsic brain networks (aka large-scale networks), including the parietal memory, default mode, and salience networks. This narrative review discusses recent critical issues related to detecting AD-associated early cognitive decline with brain synaptic structural and functional markers in high-risk or neuropsychologically diagnosed patients with subjective cognitive impairment or mild cognitive impairment.
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Affiliation(s)
- Samo Ribarič
- Faculty of Medicine, Institute of Pathophysiology, University of Ljubljana, Zaloška 4, SI-1000 Ljubljana, Slovenia
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30
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Pletcher C, Dabbs K, Barzgari A, Pozorski V, Haebig M, Wey S, Krislov S, Theisen F, Okonkwo O, Cary P, Oh J, Illingworth C, Wakely M, Law L, Gallagher CL. Cerebral cortical thickness and cognitive decline in Parkinson's disease. Cereb Cortex Commun 2023; 4:tgac044. [PMID: 36660417 PMCID: PMC9840947 DOI: 10.1093/texcom/tgac044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/28/2022] [Accepted: 10/05/2022] [Indexed: 01/21/2023] Open
Abstract
In Parkinson's disease (PD), reduced cerebral cortical thickness may reflect network-based degeneration. This study performed cognitive assessment and brain MRI in 30 PD participants and 41 controls at baseline and 18 months later. We hypothesized that cerebral cortical thickness and volume, as well as change in these metrics, would differ between PD participants who remained cognitively stable and those who experienced cognitive decline. Dividing the participant sample into PD-stable, PD-decline, and control-stable groups, we compared mean cortical thickness and volume within segments that comprise the prefrontal cognitive-control, memory, dorsal spatial, and ventral object-based networks at baseline. We then compared the rate of change in cortical thickness and volume between the same groups using a vertex-wise approach. We found that the PD-decline group had lower cortical thickness within all 4 cognitive networks in comparison with controls, as well as lower cortical thickness within the prefrontal and medial temporal networks in comparison with the PD-stable group. The PD-decline group also experienced a greater rate of volume loss in the lateral temporal cortices in comparison with the control group. This study suggests that lower thickness and volume in prefrontal, medial, and lateral temporal regions may portend cognitive decline in PD.
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Affiliation(s)
- Colleen Pletcher
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Kevin Dabbs
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Amy Barzgari
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Vincent Pozorski
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Maureen Haebig
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Sasha Wey
- Medical College of Wisconsin, Milwaukee, WI, United States
| | - Stephanie Krislov
- Institute for Clinical and Translational Research, Madison, WI, United States
| | - Frances Theisen
- Cox Medical Centers, Department of Surgery, Springfield, MO, United States
| | - Ozioma Okonkwo
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Paul Cary
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Jennifer Oh
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Chuck Illingworth
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Michael Wakely
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Lena Law
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
| | - Catherine L Gallagher
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, Madison, WI, United States
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31
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Wang L, Li C, Han Z, Wu Q, Sun L, Zhang X, Go R, Wu J, Yan T. Spatiotemporal and sensory modality attention processing with domain-specific representations in frontoparietal areas. Cereb Cortex 2022; 32:5489-5502. [PMID: 35136999 DOI: 10.1093/cercor/bhac029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/10/2022] [Accepted: 02/12/2022] [Indexed: 01/25/2023] Open
Abstract
The frontoparietal network (FPN), including bilateral frontal eye field, inferior parietal sulcus, and supplementary motor area, has been linked to attention processing, including spatiotemporal and sensory modality domains. However, it is unclear whether FPN encodes representations of these domains that are generalizable across subdomains. We decomposed multivariate patterns of functional magnetic resonance imaging activity from 20 participants into domain-specific components and identified latent multivariate representations that generalized across subdomains. The 30 experimental conditions were organized into unimodal-bimodal and spatial-temporal models. We found that brain areas in the FPN, form the primary network that modulated during attention across domains. However, the activation patterns of areas within the FPN were reorganized according to the specific attentional demand, especially when pay attention to different sensory, suggesting distinct regional neural representations associated with specific attentional processes within FPN. In addition, there were also other domain-specific areas outside the FPN, such as the dorsolateral prefrontal cortex. Our conclusion is that, according to the results of the analysis of representation similarity, 2 types of activated brain regions, related to attention domain detailed information processing and general information processing, can be revealed.
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Affiliation(s)
- Luyao Wang
- School of Life Science, Shanghai University, Shanghai 200444, China
| | - Chunlin Li
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing 100069, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China
| | - Ziteng Han
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Qiong Wu
- Department of Psychology, Suzhou University of Science and Technology, Suzhou 215009, China.,Cognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-0084, Japan
| | - Liwei Sun
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing 100069, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China
| | - Xu Zhang
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing 100069, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China
| | - Ritsu Go
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Jinglong Wu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.,Cognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-0084, Japan
| | - Tianyi Yan
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
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32
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Wong CHY, Liu J, Tao J, Chen LD, Yuan HL, Wong MNK, Xu YW, Lee TMC, Chan CCH. Causal influences of salience/cerebellar networks on dorsal attention network subserved age-related cognitive slowing. GeroScience 2022; 45:889-899. [PMID: 36401740 PMCID: PMC9886783 DOI: 10.1007/s11357-022-00686-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/31/2022] [Indexed: 11/21/2022] Open
Abstract
Age-related cognitive slowing is a prominent precursor of cognitive decline. Functional neuroimaging studies found that cognitive processing speed is associated with activation and coupling among frontal, parietal and cerebellar brain networks. However, how the reciprocal influences of inter- and intra-network coupling mediate age-related decline in processing speed remains insufficiently studied. This study examined how inter- and intra-brain network influences mediate age-related slowing. We were interested in the fronto-insular salience network (SN), frontoparietal dorsal attention network (DAN), cerebellar network (CN) and default mode network (DMN). Reaction time (RT) and functional MRI data from 84 participants (aged 18-75) were collected while they were performing the Arrow Task in visual or audial forms. At the subject level, effective connectivities (ECs) were estimated with regression dynamic causal modelling. At the group level, structural equation models (SEMs) were used to model latent speed based on age and the EC mediators. Age was associated with decreased speed and increased inter-network effective connectivity. The CN exerting influence on the DAN (CN → DAN EC) mediated, while the SN → DAN EC suppressed age-related slowing. The DMN and intra-network ECs did not seem to play significant roles in slowing due to ageing. Inter-network connectivity from the CN and SN to the DAN contributes to age-related slowing. The seemingly antagonizing influences of the CN and SN indicate that increased task-related automaticity and decreased effortful control on top-down attention would promote greater speed in older individuals.
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Affiliation(s)
- Clive H. Y. Wong
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China ,grid.194645.b0000000121742757State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam Hong Kong, China ,grid.194645.b0000000121742757Laboratory of Neuropsychology and Human Neuroscience, Department of Psychology, The University of Hong Kong, Pokfulam Hong Kong, China
| | - Jiao Liu
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622Traditional Chinese Medicine Rehabilitation Research Center of State Administration of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China
| | - Jing Tao
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, Fujian China
| | - Li-dian Chen
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, Fujian China
| | - Huan-ling Yuan
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom Hong Kong, China
| | - Mabel N. K. Wong
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China ,grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom Hong Kong, China
| | - Yan-wen Xu
- grid.263761.70000 0001 0198 0694Department of Rehabilitation Medicine, Affiliated Hospital of Soochow University, Wuxi, Jiangsu, China
| | - Tatia M. C. Lee
- grid.194645.b0000000121742757State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam Hong Kong, China ,grid.194645.b0000000121742757Laboratory of Neuropsychology and Human Neuroscience, Department of Psychology, The University of Hong Kong, Pokfulam Hong Kong, China
| | - Chetwyn C. H. Chan
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China
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33
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Abdallah M, Iovene V, Zanitti G, Wassermann D. Meta-analysis of the functional neuroimaging literature with probabilistic logic programming. Sci Rep 2022; 12:19431. [PMID: 36371447 PMCID: PMC9653422 DOI: 10.1038/s41598-022-21801-4] [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: 03/22/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis. However, existing meta-analysis tools are limited to investigating simple neuroscience concepts and expressing a restricted range of questions. Here, we expand the scope of neuroimaging meta-analysis by designing NeuroLang: a domain-specific language to express and test hypotheses using probabilistic first-order logic programming. By leveraging formalisms found at the crossroads of artificial intelligence and knowledge representation, NeuroLang provides the expressivity to address a larger repertoire of hypotheses in a meta-analysis, while seamlessly modeling the uncertainty inherent to neuroimaging data. We demonstrate the language's capabilities in conducting comprehensive neuroimaging meta-analysis through use-case examples that address questions of structure-function associations. Specifically, we infer the specific functional roles of three canonical brain networks, support the role of the visual word-form area in visuospatial attention, and investigate the heterogeneous organization of the frontoparietal control network.
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Affiliation(s)
- Majd Abdallah
- grid.5328.c0000 0001 2186 3954Inria, CEA, Neurospin, MIND Team, Université Paris Saclay, 91120 Palaiseau, France
| | - Valentin Iovene
- grid.5328.c0000 0001 2186 3954Inria, CEA, Neurospin, MIND Team, Université Paris Saclay, 91120 Palaiseau, France
| | - Gaston Zanitti
- grid.5328.c0000 0001 2186 3954Inria, CEA, Neurospin, MIND Team, Université Paris Saclay, 91120 Palaiseau, France
| | - Demian Wassermann
- grid.5328.c0000 0001 2186 3954Inria, CEA, Neurospin, MIND Team, Université Paris Saclay, 91120 Palaiseau, France
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34
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Zhang DW, Moraidis A, Klingberg T. Individually tuned theta HD-tACS improves spatial performance. Brain Stimul 2022; 15:1439-1447. [PMID: 36328341 DOI: 10.1016/j.brs.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/12/2022] [Accepted: 10/27/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Using transcranial alternating current stimulation (tACS) to improve visuospatial working memory (vsWM) has received considerable attention over the past few years. However, fundamental issues remain, such as the optimal frequency, the generality of behavioral effects, and the anatomical specificity of stimulation. OBJECTIVES Here we examined the effects of two theory-driven tACS protocols for improving vsWM on behavioral and electroencephalogram (EEG) measures. METHODS Twenty adults each completed 3 HD-tACS conditions (Tuned, Slow, and Sham) on two separate days. The Tuned condition refers to a situation in which the frequency of tACS is tuned to individual theta peak measured during a vsWM task. By contrast, the frequency was fixed to 4 Hz in the Slow condition. A high-definition tACS was deployed to target smaller frontal and parietal regions for increasing their phase-locking values. During each tACS condition, participants performed vsWM, mental rotation (MR), and arithmetic tasks. Resting-state EEG (rs-EEG) was recorded before and after each condition. RESULTS Compared with Sham, Tuned but not Slow improved both vsWM and MR but not arithmetics. The rs-EEG recording showed an increased fronto-parietal synchrony for Tuned, and this increase in synchronicity was correlated with the behavioral improvement. A follow-up study showed no behavioral improvement in Tuned with an anti-phase setting. CONCLUSION We provide the first evidence that simulating right fronto-parietal network with the tuned frequency increases the interregional synchronicity and improves performance on two spatial tasks. The results provide insight into the structure of spatial abilities as well as suggestions for stimulating the fronto-parietal network.
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Affiliation(s)
- Da-Wei Zhang
- Department of Psychology, Yangzhou University, Yangzhou, 225000, China; Department of Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
| | | | - Torkel Klingberg
- Department of Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
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35
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Menéndez Granda M, Iannotti GR, Darqué A, Ptak R. Does mental rotation emulate motor processes? An electrophysiological study of objects and body parts. Front Hum Neurosci 2022; 16:983137. [PMID: 36304589 PMCID: PMC9592819 DOI: 10.3389/fnhum.2022.983137] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/21/2022] [Indexed: 12/01/2022] Open
Abstract
Several arguments suggest that motor planning may share embodied neural mechanisms with mental rotation (MR). However, it is not well established whether this overlap occurs regardless of the type of stimulus that is manipulated, in particular manipulable or non-manipulable objects and body parts. We here used high-density electroencephalography (EEG) to examine the cognitive similarity between MR of objects that do not afford specific hand actions (chairs) and bodily stimuli (hands). Participants had identical response options for both types of stimuli, and they gave responses orally in order to prevent possible interference with motor imagery. MR of hands and chairs generated very similar behavioral responses, time-courses and neural sources of evoked-response potentials (ERPs). ERP segmentation analysis revealed distinct time windows during which differential effects of stimulus type and angular disparity were observed. An early period (90-160 ms) differentiated only between stimulus types, and was associated with occipito-temporal activity. A later period (290-330 ms) revealed strong effects of angular disparity, associated with electrical sources in the right angular gyrus and primary motor/somatosensory cortex. These data suggest that spatial transformation processes and motor planning are recruited simultaneously, supporting the involvement of motor emulation processes in MR.
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Affiliation(s)
- Marta Menéndez Granda
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Giannina Rita Iannotti
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Swiss Foundation for Innovation and Training in Surgery, University Hospitals of Geneva, Geneva, Switzerland
| | - Alexandra Darqué
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Neurorehabilitation, University Hospitals of Geneva, Geneva, Switzerland
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36
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Wu T, Mackie MA, Chen C, Fan J. Representational Coding of Overt and Covert Orienting of Visuospatial Attention in the Frontoparietal Network. Neuroimage 2022; 261:119499. [PMID: 35872177 PMCID: PMC9445919 DOI: 10.1016/j.neuroimage.2022.119499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 07/05/2022] [Accepted: 07/20/2022] [Indexed: 11/25/2022] Open
Abstract
Orienting of visuospatial attention refers to reallocation of attentional focus from one target or location to another and can occur either with (overt) or without (covert) eye movement. Although it has been demonstrated that both types of orienting commonly involve frontal and parietal brain regions as the frontoparietal network (FPN), the underlying representational coding of these two types of orienting remains unclear. In this functional magnetic resonance imaging study, participants performed a task that elicited overt and covert orienting to endogenously or exogenously cued targets with eye-tracking to monitor eye movement. Although the FPN was commonly activated for both overt and covert orienting, multivariate patterns of the activation of voxels in the FPN accurately predicted whether eye movements were involved or not during orienting. These overt- and covert-preferred voxels were topologically distributed as distinct and interlaced clusters in a millimeter scale. Inclusion of the two types of clusters predicted orienting type more accurately than one type of clusters alone. These findings suggest that overt and covert orienting are represented by interdependent functional clusters of neuronal populations in regions of the FPN, which might reflect a generalizable principle in the nervous system for functional organization of closely associated processes.
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Affiliation(s)
- Tingting Wu
- Department of Psychology, Queens College, City University of New York, Queens, NY, 11367, USA
| | - Melissa-Ann Mackie
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Chao Chen
- Departments of Biomedical Informatics, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Jin Fan
- Department of Psychology, Queens College, City University of New York, Queens, NY, 11367, USA.
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37
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Yin S, Li Y, Chen A. Functional coupling between frontoparietal control subnetworks bridges the default and dorsal attention networks. Brain Struct Funct 2022; 227:2243-2260. [PMID: 35751677 DOI: 10.1007/s00429-022-02517-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/23/2022] [Indexed: 12/25/2022]
Abstract
The frontoparietal control network (FPCN) plays a central role in tuning connectivity between brain networks to achieve integrated cognitive processes. It has been proposed that two subnetworks within the FPCN separately regulate two antagonistic networks: the FPCNa is connected to the default network (DN) that deals with internally oriented introspective processes, whereas the FPCNb is connected to the dorsal attention network (DAN) that deals with externally oriented perceptual attention. However, cooperation between the DN and DAN induced by distinct task demands has not been well-studied. Here, we characterized the dynamic cooperation among the DN, DAN, and two FPCN subnetworks in a task in which internally oriented self-referential processing could facilitate externally oriented visual working memory. Functional connectivity analysis showed enhanced coupling of a circuit from the DN to the FPCNa, then to the FPCNb, and finally to the DAN when the self-referential processing improved memory recognition in high self-referential conditions. The direct connection between the DN and DAN was not enhanced. This circuit could be reflected by an increased chain-mediating effect of the FPCNa and the FPCNb between the DN and DAN in high self-referential conditions. Graph analysis revealed that high self-referential conditions were accompanied by increased global and local efficiencies, and the increases were mainly driven by the increased efficiency of FPCN nodes. Together, our findings extend prior observations and indicate that the coupling between the two FPCN subnetworks serves as a bridge between the DN and DAN, supporting the interaction between internally oriented and externally oriented processes.
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Affiliation(s)
- Shouhang Yin
- School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China
| | - Yilu Li
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Antao Chen
- School of Psychology, Shanghai University of Sport, Shanghai, China.
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38
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Jepma M, Roy M, Ramlakhan K, van Velzen M, Dahan A. Different brain systems support learning from received and avoided pain during human pain-avoidance learning. eLife 2022; 11:74149. [PMID: 35731646 PMCID: PMC9217130 DOI: 10.7554/elife.74149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 06/07/2022] [Indexed: 12/14/2022] Open
Abstract
Both unexpected pain and unexpected pain absence can drive avoidance learning, but whether they do so via shared or separate neural and neurochemical systems is largely unknown. To address this issue, we combined an instrumental pain-avoidance learning task with computational modeling, functional magnetic resonance imaging (fMRI), and pharmacological manipulations of the dopaminergic (100 mg levodopa) and opioidergic (50 mg naltrexone) systems (N = 83). Computational modeling provided evidence that untreated participants learned more from received than avoided pain. Our dopamine and opioid manipulations negated this learning asymmetry by selectively increasing learning rates for avoided pain. Furthermore, our fMRI analyses revealed that pain prediction errors were encoded in subcortical and limbic brain regions, whereas no-pain prediction errors were encoded in frontal and parietal cortical regions. However, we found no effects of our pharmacological manipulations on the neural encoding of prediction errors. Together, our results suggest that human pain-avoidance learning is supported by separate threat- and safety-learning systems, and that dopamine and endogenous opioids specifically regulate learning from successfully avoided pain.
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Affiliation(s)
- Marieke Jepma
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.,Department of Psychology, Leiden University, Leiden, Netherlands.,Leiden Institute for Brain and Cognition, Leiden, Netherlands
| | - Mathieu Roy
- Department of Psychology, McGill University, Montreal, Canada.,Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
| | - Kiran Ramlakhan
- Department of Psychology, Leiden University, Leiden, Netherlands.,Department of Research and Statistics, Municipality of Amsterdam, Amsterdam, Netherlands
| | - Monique van Velzen
- Department of Anesthesiology, Leiden University Medical Center, Leiden, Netherlands
| | - Albert Dahan
- Department of Anesthesiology, Leiden University Medical Center, Leiden, Netherlands
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39
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Guerithault N, McClure SM, Ojinnaka CO, Braden BB, Bruening M. Resting-State Functional Connectivity Differences in College Students with and without Food Insecurity. Nutrients 2022; 14:nu14102064. [PMID: 35631206 PMCID: PMC9145508 DOI: 10.3390/nu14102064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 02/01/2023] Open
Abstract
We used functional magnetic resonance imaging (fMRI) to investigate cross-sectional differences in functional connectivity across cognitive networks at rest among age and sex matched college students with very low food security [food insecurity (FI); n = 20] and with high food security (n = 20). The participants completed the Behavior Rating Inventory of Executive Function-2 (BRIEF-2) and Adverse Childhood Experiences (ACEs) questionnaires. Seven-minute resting-state fMRI scans were collected. Independent Component Analysis assessed group connectivity differences in three large-scale networks: the default-mode network (DMN), the frontoparietal network (FPN), and the salience network (SN). FI was associated with poorer Global BRIEF scores (adjusted β = 8.36; 95% CI: 2.32, 14.40) and five BRIEF subscales: Inhibit, Initiate, Working Memory, Plan, and Organize (p-values < 0.05). The students with FI had greater functional connectivity between the FPN and left middle temporal gyrus (cluster size p-FWE = 0.029), the SN and precuneus (cluster size p-FWE < 0.001), and the SN and right middle frontal gyrus (cluster size p-FWE = 0.016) compared to the students with high food security. Exploratory correlations revealed that greater connectivity between the SN and right middle frontal gyrus was associated with poorer BRIEF Inhibit scores (p = 0.038), and greater connectivity between the FPN and left middle temporal gyrus was associated with poorer BRIEF Organize scores (p = 0.024) for the students with FI. Greater functional connectivity between the FPN, DMN, and SN at rest may contribute to executive function difficulties for college students with FI.
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Affiliation(s)
- Nicolas Guerithault
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (N.G.); (C.O.O.)
| | - Samuel M. McClure
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA;
| | - Chinedum O. Ojinnaka
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (N.G.); (C.O.O.)
| | - B. Blair Braden
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (N.G.); (C.O.O.)
- Correspondence: (B.B.B.); (M.B.)
| | - Meg Bruening
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (N.G.); (C.O.O.)
- Correspondence: (B.B.B.); (M.B.)
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40
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Modality of Practice Modulates Resting State Connectivity During Motor Learning. Neurosci Lett 2022; 781:136659. [PMID: 35483502 DOI: 10.1016/j.neulet.2022.136659] [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: 11/04/2021] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 11/22/2022]
Abstract
When bookending skilled motor practice, changes in resting state functional magnetic resonance imaging (rs-fMRI; used to characterise synchronized patterns of activity when the brain is at rest) reflect functional reorganization that supports motor memory consolidation and learning. Despite its use in practice in numerous domains, the neural mechanisms underlying motor memory consolidation and learning that result from motor imagery practice (MIP) relative to physical practice are not well understood. The current study examined how rs-fMRI is modulated by skilled motor practice that results through either MIP or physical practice. Two groups of participants engaged in five days of MIP or physical practice of a dart throwing task. Performance and rs-fMRI were captured before and after training. Relative to physical practice, where focal changes in rs-fMRI within a cerebellar-cortical network were observed, MIP stimulated widespread changes in rs-fMRI within a frontoparietal network encompassing bilateral regions. Findings indicate that functional reorganization that supports motor memory consolidation and learning is not equivalent across practice modality. Ultimately, this work provides new information regarding the unique neural underpinnings MIP relies on to drive motor memory consolidation and learning.
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41
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Bruno JL, Shrestha SB, Reiss AL, Saggar M, Green T. Altered canonical and striatal-frontal resting state functional connectivity in children with pathogenic variants in the Ras/mitogen-activated protein kinase pathway. Mol Psychiatry 2022; 27:1542-1551. [PMID: 35087195 PMCID: PMC9106817 DOI: 10.1038/s41380-021-01422-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/02/2021] [Accepted: 12/09/2021] [Indexed: 11/09/2022]
Abstract
Mounting evidence supports the role of the Ras/mitogen-activated protein kinase (Ras/MAPK) pathway in neurodevelopmental disorders. Here, the authors used a genetics-first approach to examine how Ras/MAPK pathogenic variants affect the functional organization of the brain and cognitive phenotypes including weaknesses in attention and inhibition. Functional MRI was used to examine resting state functional connectivity (RSFC) in association with Ras/MAPK pathogenic variants in children with Noonan syndrome (NS). Participants (age 4-12 years) included 39 children with NS (mean age 8.44, SD = 2.20, 25 females) and 49 typically developing (TD) children (mean age 9.02, SD = 9.02, 33 females). Twenty-eight children in the NS group and 46 in the TD group had usable MRI data and were included in final analyses. The results indicated significant hyperconnectivity for the NS group within canonical visual, ventral attention, left frontoparietal and limbic networks (p < 0.05 FWE). Higher connectivity within canonical left frontoparietal and limbic networks positively correlated with cognitive function within the NS but not the TD group. Further, the NS group demonstrated significant group differences in seed-based striatal-frontal connectivity (Z > 2.6, p < 0.05 FWE). Hyperconnectivity within canonical brain networks may represent an intermediary phenotype between Ras/MAPK pathogenic variants and cognitive phenotypes, including weaknesses in attention and inhibition. Altered striatal-frontal connectivity corresponds with smaller striatal volume and altered white matter connectivity previously documented in children with NS. These results may indicate delayed maturation and compensatory mechanisms and they are important for understanding the pathophysiology underlying cognitive phenotypes in NS and in the broader population of children with neurodevelopmental disorders.
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Affiliation(s)
- Jennifer L Bruno
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
| | - Sharon B Shrestha
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Allan L Reiss
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics and Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Manish Saggar
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Tamar Green
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
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42
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Roehri N, Bréchet L, Seeber M, Pascual-Leone A, Michel CM. Phase-Amplitude Coupling and Phase Synchronization Between Medial Temporal, Frontal and Posterior Brain Regions Support Episodic Autobiographical Memory Recall. Brain Topogr 2022; 35:191-206. [PMID: 35080692 PMCID: PMC8860804 DOI: 10.1007/s10548-022-00890-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/13/2022] [Indexed: 01/08/2023]
Abstract
Episodic autobiographical memory (EAM) is a complex cognitive function that emerges from the coordination of specific and distant brain regions. Specific brain rhythms, namely theta and gamma oscillations and their synchronization, are thought of as putative mechanisms enabling EAM. Yet, the mechanisms of inter-regional interaction in the EAM network remain unclear in humans at the whole brain level. To investigate this, we analyzed EEG recordings of participants instructed to retrieve autobiographical episodes. EEG recordings were projected in the source space, and time-courses of atlas-based brain regions-of-interest (ROIs) were derived. Directed phase synchrony in high theta (7–10 Hz) and gamma (30–80 Hz) bands and high theta-gamma phase-amplitude coupling were computed between each pair of ROIs. Using network-based statistics, a graph-theory method, we found statistically significant networks for each investigated mechanism. In the gamma band, two sub-networks were found, one between the posterior cingulate cortex (PCC) and the medial temporal lobe (MTL) and another within the medial frontal areas. In the high theta band, we found a PCC to ventromedial prefrontal cortex (vmPFC) network. In phase-amplitude coupling, we found the high theta phase of the left MTL biasing the gamma amplitude of posterior regions and the vmPFC. Other regions of the temporal lobe and the insula were also phase biasing the vmPFC. These findings suggest that EAM, rather than emerging from a single mechanism at a single frequency, involves precise spatio-temporal signatures mapping on distinct memory processes. We propose that the MTL orchestrates activity in vmPFC and PCC via precise phase-amplitude coupling, with vmPFC and PCC interaction via high theta phase synchrony and gamma synchronization contributing to bind information within the PCC-MTL sub-network or valuate the candidate memory within the medial frontal sub-network.
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Affiliation(s)
- Nicolas Roehri
- Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland
| | - Lucie Bréchet
- Center for Biomedical Imaging (CIBM), Lausanne and Geneva, 1015, Lausanne, Switzerland.,Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Martin Seeber
- Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland
| | - Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Guttmann Brain Health Institute, Institut Guttman de Neurorehabilitació, Barcelona, Spain
| | - Christoph M Michel
- Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland. .,Center for Biomedical Imaging (CIBM), Lausanne and Geneva, 1015, Lausanne, Switzerland.
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43
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Bagnato S. The role of plasticity in the recovery of consciousness. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:375-395. [PMID: 35034750 DOI: 10.1016/b978-0-12-819410-2.00020-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Disorders of consciousness (DOCs), i.e., coma, vegetative state, and minimally conscious state are the consequences of a severe brain injury that disrupts the brain ability to generate consciousness. Recovery from DOCs requires functional and structural changes in the brain. The sites where these plastic changes take place vary according to the pathophysiology of the DOC. The ascending reticular activating system of the brainstem and its complex connections with the thalamus and cortex are involved in the pathophysiology of coma. Subcortical structures, such as the striatum and globus pallidus, together with thalamocortical and corticothalamic projections, the basal forebrain, and several networks among different cortical areas are probably involved in vegetative and minimally conscious states. Some mechanisms of plasticity that allegedly operate in each of these sites to promote recovery of consciousness will be discussed in this chapter. While some mechanisms of plasticity work at a local level, others produce functional changes in complex neuronal networks, for example by entraining neuronal oscillations. The specific mechanisms of brain plasticity represent potential targets for future treatments aiming to restore consciousness in patients with severe DOCs.
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Affiliation(s)
- Sergio Bagnato
- Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries, Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù (PA), Italy.
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44
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Morasso P. A Vexing Question in Motor Control: The Degrees of Freedom Problem. Front Bioeng Biotechnol 2022; 9:783501. [PMID: 35111733 PMCID: PMC8801616 DOI: 10.3389/fbioe.2021.783501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/30/2021] [Indexed: 11/24/2022] Open
Abstract
The human “marionette” is extremely complex and multi-articulated: anatomical redundancy (in terms of Degrees of Freedom: DoFs), kinematic redundancy (movements can have different trajectories, velocities, and accelerations and yet achieve the same goal, according to the principle of Motor Equivalence), and neurophysiological redundancy (many more muscles than DoFs and multiple motor units for each muscle). Although it is quite obvious that such abundance is not noxious at all because, in contrast, it is instrumental for motor learning, allowing the nervous system to “explore” the space of feasible actions before settling on an elegant and possibly optimal solution, the crucial question then boils down to figure out how the nervous system “chooses/selects/recruits/modulates” task-dependent subsets of countless assemblies of DoFs as functional motor synergies. Despite this daunting conceptual riddle, human purposive behavior in daily life activities is a proof of concept that solutions can be found easily and quickly by the embodied brain of the human cognitive agent. The point of view suggested in this essay is to frame the question above in the old-fashioned but still seminal observation by Marr and Poggio that cognitive agents should be regarded as Generalized Information Processing Systems (GIPS) and should be investigated according to three nearly independent but complementary levels of analysis: 1) the computational level, 2) the algorithmic level, and 3) the implementation level. In this framework, we attempt to discriminate as well as aggregate the different hypotheses and solutions proposed so far: the optimal control hypothesis, the muscle synergy hypothesis, the equilibrium point hypothesis, or the uncontrolled manifold hypothesis, to mention the most popular ones. The proposed GIPS follows the strategy of factoring out shaping and timing by adopting a force-field based approach (the Passive Motion Paradigm) that is inspired by the Equilibrium Point Hypothesis, extended in such a way to represent covert as well overt actions. In particular, it is shown how this approach can explain spatio-temporal invariances and, at the same time, solve the Degrees of Freedom Problem.
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Barollo F, Hassan M, Petersen H, Rigoni I, Ramon C, Gargiulo P, Fratini A. Cortical pathways during Postural Control: new insights from functional EEG source connectivity. IEEE Trans Neural Syst Rehabil Eng 2022; 30:72-84. [PMID: 34990367 DOI: 10.1109/tnsre.2022.3140888] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Postural control is a complex feedback system that relies on vast array of sensory inputs in order to maintain a stable upright stance. The brain cortex plays a crucial role in the processing of this information and in the elaboration of a successful adaptive strategy to external stimulation preventing loss of balance and falls. In the present work, the participants postural control system was challenged by disrupting the upright stance via a mechanical skeletal muscle vibration applied to the calves. The EEG source connectivity method was used to investigate the cortical response to the external stimulation and highlight the brain network primarily involved in high-level coordination of the postural control system. The cortical network reconfiguration was assessed during two experimental conditions of eyes open and eyes closed and the network flexibility (i.e. its dynamic reconfiguration over time) was correlated with the sample entropy of the stabilogram sway. The results highlight two different cortical strategies in the alpha band: the predominance of frontal lobe connections during open eyes and the strengthening of temporal-parietal network connections in the absence of visual cues. Furthermore, a high correlation emerges between the flexibility in the regions surrounding the right temporo-parietal junction and the sample entropy of the CoP sway, suggesting their centrality in the postural control system. These results open the possibility to employ network-based flexibility metrics as markers of a healthy postural control system, with implications in the diagnosis and treatment of postural impairing diseases.
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Mangalam M, Fragaszy DM, Wagman JB, Day BM, Kelty-Stephen DG, Bongers RM, Stout DW, Osiurak F. On the psychological origins of tool use. Neurosci Biobehav Rev 2022; 134:104521. [PMID: 34998834 DOI: 10.1016/j.neubiorev.2022.104521] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 12/01/2021] [Accepted: 01/01/2022] [Indexed: 01/13/2023]
Abstract
The ubiquity of tool use in human life has generated multiple lines of scientific and philosophical investigation to understand the development and expression of humans' engagement with tools and its relation to other dimensions of human experience. However, existing literature on tool use faces several epistemological challenges in which the same set of questions generate many different answers. At least four critical questions can be identified, which are intimately intertwined-(1) What constitutes tool use? (2) What psychological processes underlie tool use in humans and nonhuman animals? (3) Which of these psychological processes are exclusive to tool use? (4) Which psychological processes involved in tool use are exclusive to Homo sapiens? To help advance a multidisciplinary scientific understanding of tool use, six author groups representing different academic disciplines (e.g., anthropology, psychology, neuroscience) and different theoretical perspectives respond to each of these questions, and then point to the direction of future work on tool use. We find that while there are marked differences among the responses of the respective author groups to each question, there is a surprising degree of agreement about many essential concepts and questions. We believe that this interdisciplinary and intertheoretical discussion will foster a more comprehensive understanding of tool use than any one of these perspectives (or any one of these author groups) would (or could) on their own.
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Affiliation(s)
- Madhur Mangalam
- Department of Physical Therapy, Movement and Rehabilitation Science, Northeastern University, Boston, Massachusetts 02115, USA.
| | | | - Jeffrey B Wagman
- Department of Psychology, Illinois State University, Normal, IL 61761, USA
| | - Brian M Day
- Department of Psychology, Butler University, Indianapolis, IN 46208, USA
| | | | - Raoul M Bongers
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, Netherlands
| | - Dietrich W Stout
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | - François Osiurak
- Laboratoire d'Etude des Mécanismes Cognitifs, Université de Lyon, Lyon 69361, France; Institut Universitaire de France, Paris 75231, France
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Functional neuroanatomy of cognition in Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:289-307. [DOI: 10.1016/bs.pbr.2022.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Ptak R, Doganci N, Bourgeois A. From Action to Cognition: Neural Reuse, Network Theory and the Emergence of Higher Cognitive Functions. Brain Sci 2021; 11:1652. [PMID: 34942954 PMCID: PMC8699577 DOI: 10.3390/brainsci11121652] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 12/13/2021] [Accepted: 12/15/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of this article is to discuss the logic and assumptions behind the concept of neural reuse, to explore its biological advantages and to discuss the implications for the cognition of a brain that reuses existing circuits and resources. We first address the requirements that must be fulfilled for neural reuse to be a biologically plausible mechanism. Neural reuse theories generally take a developmental approach and model the brain as a dynamic system composed of highly flexible neural networks. They often argue against domain-specificity and for a distributed, embodied representation of knowledge, which sets them apart from modular theories of mental processes. We provide an example of reuse by proposing how a phylogenetically more modern mental capacity (mental rotation) may appear through the reuse and recombination of existing resources from an older capacity (motor planning). We conclude by putting arguments into context regarding functional modularity, embodied representation, and the current ontology of mental processes.
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Affiliation(s)
- Radek Ptak
- Division of Neurorehabilitation, University Hospitals Geneva, 1205 Geneva, Switzerland
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; (N.D.); (A.B.)
| | - Naz Doganci
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; (N.D.); (A.B.)
| | - Alexia Bourgeois
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; (N.D.); (A.B.)
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Biel AL, Sterner E, Röll L, Sauseng P. Modulating verbal working memory with fronto-parietal transcranial electric stimulation at theta frequency: Does it work? Eur J Neurosci 2021; 55:405-425. [PMID: 34902182 DOI: 10.1111/ejn.15563] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 11/22/2021] [Accepted: 11/29/2021] [Indexed: 11/29/2022]
Abstract
Oscillatory theta activity in a fronto-parietal network has been associated with working memory (WM) processes and may be directly related to WM performance. In their seminal study, Polanía et al. (2012) (de-)coupled a fronto-parietal theta-network by applying transcranial alternating current stimulation (tACS), and showed that anti-phase tACS led to slower and in-phase tACS to faster response times in a verbal WM task compared to placebo stimulation. In the literature, this 'synchronization-desynchronization' effect has only been partly replicated, and electric field modelling suggests that it might not be the fronto-parietal network that is primarily stimulated during in-phase tACS with a shared return electrode. This provides one possible reason for inconsistency in the literature. In this study, we aimed to reproduce the findings reported by Polanía et al. (2012). We also aimed to investigate whether in-phase theta tACS with multiple close-by return electrodes for focal stimulation of the frontal and the parietal cortex will have at least as much of a facilitatory effect as the in-phase stimulation as indicated by Polania et al. (2012). In a single-trial distributional analysis, we explored whether mean, variation and right-skewness of the response time distribution are affected. Against our hypothesis, we found no 'synchronization-desynchronization' effect by fronto-parietal theta tACS on response times using the same delayed letter discrimination task and stimulation parameters in two experiments, both between-subjects and within-subjects. However, we could show that in a more demanding 3-back task, fronto-parietal in-phase and in-phase focal theta tACS substantially improved task performance compared to placebo stimulation.
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Affiliation(s)
- Anna Lena Biel
- Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität München, Planegg, Martinsried, Germany
| | - Elisabeth Sterner
- Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Lukas Röll
- Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Paul Sauseng
- Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität München, Planegg, Martinsried, Germany
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Kim H, Kim E, Yun SJ, Kang MG, Shin HI, Mo B, Seo HG. Robot-assisted gait training with auditory and visual cues in Parkinson's disease: a randomized controlled trial. Ann Phys Rehabil Med 2021; 65:101620. [PMID: 34896605 DOI: 10.1016/j.rehab.2021.101620] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 11/11/2021] [Accepted: 11/16/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (PD); however, the evidence to date is inconsistent. OBJECTIVES This study compared the effects of RAGT and treadmill training (TT) on gait speed, dual-task gait performance, and changes in resting-state brain functional connectivity in individuals with PD. METHODS In this prospective, single-center, randomized controlled trial with a parallel two-group design, 44 participants were randomly allocated to undergo 12 sessions (3 times per week for 4 weeks) of RAGT or TT. The primary outcome was gait speed on the 10-m walk test (10mWT) under comfortable walking conditions. Secondary outcomes included dual-task interference on gait speed, balance, disability scores, fear of falling, freezing of gait, and brain functional connectivity changes. All clinical outcomes were measured before (T0), immediately after (T1), and 1 month after treatment (T2). RESULTS The mean (SD) age of the participants was 68.1 (8.1) years, and mean disease duration 108.0 (61.5) months. The groups did not significantly differ on the 10mWT (T0-T1, p=0.726, Cohen's d=0.133; T0-T2, p=0.778, Cohen's d=0.121). We observed a significant time-by-group interaction (F=3.236, p=0.045) for cognitive dual-task interference, controlling for confounders. After treatment, coupling was decreased to a greater extent with RAGT than TT between the visual and dorsal attention networks (p=0.015), between bilateral fronto-parietal networks (p=0.043), and between auditory and medial temporal networks (p=0.018). Improvement in cognitive dual-task interference was positively correlated with enhanced visual and medial temporal network coupling overall (r=0.386, p=0.029) and with TT (r=0.545, p=0.024) but not RAGT (r=0.151, p=0.590). CONCLUSIONS RAGT was not superior to intensity-matched TT on improving gait functions in individuals with PD but may be beneficial in improving gait ability under cognitive dual-task conditions. The therapeutic mechanism and key functional connectivity changes associated with improvement may differ between treatment strategies.
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Affiliation(s)
- Heejae Kim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seo Jung Yun
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Min-Gu Kang
- Department of Physical Medicine and Rehabilitation, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Hyun Iee Shin
- Department of Physical Medicine and Rehabilitation, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Byung Mo
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Han Gil Seo
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
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