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Manes JL, Bullock L, Meier AM, Turner RS, Richardson RM, Guenther FH. A neurocomputational view of the effects of Parkinson's disease on speech production. Front Hum Neurosci 2024; 18:1383714. [PMID: 38812472 PMCID: PMC11133703 DOI: 10.3389/fnhum.2024.1383714] [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: 02/07/2024] [Accepted: 04/23/2024] [Indexed: 05/31/2024] Open
Abstract
The purpose of this article is to review the scientific literature concerning speech in Parkinson's disease (PD) with reference to the DIVA/GODIVA neurocomputational modeling framework. Within this theoretical view, the basal ganglia (BG) contribute to several different aspects of speech motor learning and execution. First, the BG are posited to play a role in the initiation and scaling of speech movements. Within the DIVA/GODIVA framework, initiation and scaling are carried out by initiation map nodes in the supplementary motor area acting in concert with the BG. Reduced support of the initiation map from the BG in PD would result in reduced movement intensity as well as susceptibility to early termination of movement. A second proposed role concerns the learning of common speech sequences, such as phoneme sequences comprising words; this view receives support from the animal literature as well as studies identifying speech sequence learning deficits in PD. Third, the BG may play a role in the temporary buffering and sequencing of longer speech utterances such as phrases during conversational speech. Although the literature does not support a critical role for the BG in representing sequence order (since incorrectly ordered speech is not characteristic of PD), the BG are posited to contribute to the scaling of individual movements in the sequence, including increasing movement intensity for emphatic stress on key words. Therapeutic interventions for PD have inconsistent effects on speech. In contrast to dopaminergic treatments, which typically either leave speech unchanged or lead to minor improvements, deep brain stimulation (DBS) can degrade speech in some cases and improve it in others. However, cases of degradation may be due to unintended stimulation of efferent motor projections to the speech articulators. Findings of spared speech after bilateral pallidotomy appear to indicate that any role played by the BG in adult speech must be supplementary rather than mandatory, with the sequential order of well-learned sequences apparently represented elsewhere (e.g., in cortico-cortical projections).
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Affiliation(s)
- Jordan L. Manes
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, United States
- Department of Communicative Disorders and Sciences, University at Buffalo, Buffalo, NY, United States
| | - Latané Bullock
- Program in Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Andrew M. Meier
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, United States
| | - Robert S. Turner
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, United States
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, United States
| | - R. Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Frank H. Guenther
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, United States
- Department of Biomedical Engineering, Boston University, Boston, MA, United States
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States
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Cox KM, Kase D, Znati T, Turner RS. Detecting rhythmic spiking through the power spectra of point process model residuals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.08.556120. [PMID: 38586036 PMCID: PMC10996479 DOI: 10.1101/2023.09.08.556120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Objective Oscillations figure prominently as neurological disease hallmarks and neuromodulation targets. To detect oscillations in a neuron's spiking, one might attempt to seek peaks in the spike train's power spectral density (PSD) which exceed a flat baseline. Yet for a non-oscillating neuron, the PSD is not flat: The recovery period ("RP", the post-spike drop in spike probability, starting with the refractory period) introduces global spectral distortion. An established "shuffling" procedure corrects for RP distortion by removing the spectral component explained by the inter-spike interval (ISI) distribution. However, this procedure sacrifices oscillation-related information present in the ISIs, and therefore in the PSD. We asked whether point process models (PPMs) might achieve more selective RP distortion removal, thereby enabling improved oscillation detection. Approach In a novel "residuals" method, we first estimate the RP duration (nr) from the ISI distribution. We then fit the spike train with a PPM that predicts spike likelihood based on the time elapsed since the most recent of any spikes falling within the preceding nr milliseconds. Finally, we compute the PSD of the model's residuals. Main results We compared the residuals and shuffling methods' ability to enable accurate oscillation detection with flat baseline-assuming tests. Over synthetic data, the residuals method generally outperformed the shuffling method in classification of true- versus false-positive oscillatory power, principally due to enhanced sensitivity in sparse spike trains. In single-unit data from the internal globus pallidus (GPi) and ventrolateral anterior thalamus (VLa) of a parkinsonian monkey -- in which alpha-beta oscillations (8-30 Hz) were anticipated -- the residuals method reported the greatest incidence of significant alpha-beta power, with low firing rates predicting residuals-selective oscillation detection. Significance These results encourage continued development of the residuals approach, to support more accurate oscillation detection. Improved identification of oscillations could promote improved disease models and therapeutic technologies.
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Affiliation(s)
- Karin M. Cox
- Department of Computer Science, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260, United States of America
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland, 20815, United States of America
| | - Daisuke Kase
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland, 20815, United States of America
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States of America
- Systems Neuroscience Center, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States of America
| | - Taieb Znati
- Department of Computer Science, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260, United States of America
| | - Robert S. Turner
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland, 20815, United States of America
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States of America
- Systems Neuroscience Center, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States of America
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States of America
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Chen S, Liu Y, Wang ZA, Colonell J, Liu LD, Hou H, Tien NW, Wang T, Harris T, Druckmann S, Li N, Svoboda K. Brain-wide neural activity underlying memory-guided movement. Cell 2024; 187:676-691.e16. [PMID: 38306983 DOI: 10.1016/j.cell.2023.12.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/19/2023] [Accepted: 12/27/2023] [Indexed: 02/04/2024]
Abstract
Behavior relies on activity in structured neural circuits that are distributed across the brain, but most experiments probe neurons in a single area at a time. Using multiple Neuropixels probes, we recorded from multi-regional loops connected to the anterior lateral motor cortex (ALM), a circuit node mediating memory-guided directional licking. Neurons encoding sensory stimuli, choices, and actions were distributed across the brain. However, choice coding was concentrated in the ALM and subcortical areas receiving input from the ALM in an ALM-dependent manner. Diverse orofacial movements were encoded in the hindbrain; midbrain; and, to a lesser extent, forebrain. Choice signals were first detected in the ALM and the midbrain, followed by the thalamus and other brain areas. At movement initiation, choice-selective activity collapsed across the brain, followed by new activity patterns driving specific actions. Our experiments provide the foundation for neural circuit models of decision-making and movement initiation.
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Affiliation(s)
- Susu Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Yi Liu
- Stanford University, Palo Alto, CA, USA
| | | | - Jennifer Colonell
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Liu D Liu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Baylor College of Medicine, Houston, TX, USA
| | - Han Hou
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Nai-Wen Tien
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Tim Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Timothy Harris
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Johns Hopkins University, Baltimore, MD, USA
| | - Shaul Druckmann
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Stanford University, Palo Alto, CA, USA.
| | - Nuo Li
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Baylor College of Medicine, Houston, TX, USA.
| | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA.
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Parker JE, Aristieta A, Gittis A, Rubin JE. Introducing the STReaC (Spike Train Response Classification) toolbox. J Neurosci Methods 2024; 401:110000. [PMID: 38486714 PMCID: PMC10936710 DOI: 10.1016/j.jneumeth.2023.110000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Background This work presents a toolbox that implements methodology for automated classification of diverse neural responses to optogenetic stimulation or other changes in conditions, based on spike train recordings. New Method The toolbox implements what we call the Spike Train Response Classification algorithm (STReaC), which compares measurements of activity during a baseline period with analogous measurements during a subsequent period to identify various responses that might result from an event such as introduction of a sustained stimulus. The analyzed response types span a variety of patterns involving distinct time courses of increased firing, or excitation, decreased firing, or inhibition, or combinations of these. Excitation (inhibition) is identified from a comparative analysis of the spike density function (interspike interval function) for the baseline period relative to the corresponding function for the response period. Results The STReaC algorithm as implemented in this toolbox provides a user-friendly, tunable, objective methodology that can detect a variety of neuronal response types and associated subtleties. We demonstrate this with single-unit neural recordings of rodent substantia nigra pars reticulata (SNr) during optogenetic stimulation of the globus pallidus externa (GPe). Comparison with existing methods In several examples, we illustrate how the toolbox classifies responses in situations in which traditional methods (spike counting and visual inspection) either fail to detect a response or provide a false positive. Conclusions The STReaC toolbox provides a simple, efficient approach for classifying spike trains into a variety of response types defined relative to a period of baseline spiking.
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Affiliation(s)
- John E. Parker
- Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, U.S.A
- Center for the Neural Basis of Cognition, Pittsburgh, PA, U.S.A
| | - Asier Aristieta
- Center for the Neural Basis of Cognition, Pittsburgh, PA, U.S.A
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, U.S.A
| | - Aryn Gittis
- Center for the Neural Basis of Cognition, Pittsburgh, PA, U.S.A
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, U.S.A
| | - Jonathan E. Rubin
- Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, U.S.A
- Center for the Neural Basis of Cognition, Pittsburgh, PA, U.S.A
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Drew T, Fortier-Lebel N, Nakajima T. Cortical contribution to visuomotor coordination in locomotion and reaching. Curr Opin Neurobiol 2023; 82:102755. [PMID: 37633106 DOI: 10.1016/j.conb.2023.102755] [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: 04/24/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 08/28/2023]
Abstract
One of the hallmarks of mammals is their ability to make precise visually guided limb movements to attain objects. This is best exemplified by the reach and grasp movements of primates, although it is not unique to this mammalian order. Precise, coordinated, visually guided movements are equally as important during locomotion in many mammalian species, especially in predators. In this context, vision is used to guide paw trajectory and placement. In this review we examine the contribution of the fronto-parietal network in the control of such movements. We suggest that this network is responsible for visuomotor coordination across behaviours and species. We further argue for analogies between cytoarchitectonically similar cortical areas in primates and cats.
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Affiliation(s)
- Trevor Drew
- Département de Neurosciences, Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Groupe de recherche sur la signalisation neurale et la circuiterie (SNC), Université de Montréal, Pavillon Paul-G. Desmarais, C.P. 6128, Succursale Centre-ville, Montréal, Québec, H3C 3J7, Canada.
| | - Nicolas Fortier-Lebel
- Département de Neurosciences, Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Groupe de recherche sur la signalisation neurale et la circuiterie (SNC), Université de Montréal, Pavillon Paul-G. Desmarais, C.P. 6128, Succursale Centre-ville, Montréal, Québec, H3C 3J7, Canada
| | - Toshi Nakajima
- Department of Integrative Neuroscience, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
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Hernandez-Martin E, Kasiri M, Abe S, MacLean J, Olaya J, Liker M, Chu J, Sanger TD. Globus pallidus internus activity increases during voluntary movement in children with dystonia. iScience 2023; 26:107066. [PMID: 37389183 PMCID: PMC10300218 DOI: 10.1016/j.isci.2023.107066] [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: 12/14/2022] [Revised: 03/27/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
The rate model of basal ganglia function predicts that muscle activity in dystonia is due to disinhibition of thalamus resulting from decreased inhibitory input from pallidum. We seek to test this hypothesis in children with dyskinetic cerebral palsy undergoing evaluation for deep brain stimulation (DBS) to analyze movement-related activity in different brain regions. The results revealed prominent beta-band frequency peaks in the globus pallidus interna (GPi), ventral oralis anterior/posterior (VoaVop) subnuclei of the thalamus, and subthalamic nucleus (STN) during movement but not at rest. Connectivity analysis indicated stronger coupling between STN-VoaVop and STN-GPi compared to GPi-STN. These findings contradict the hypothesis of decreased thalamic inhibition in dystonia, suggesting that abnormal patterns of inhibition and disinhibition, rather than reduced GPi activity, contribute to the disorder. Additionally, the study implies that correcting abnormalities in GPi function may explain the effectiveness of DBS targeting the STN and GPi in treating dystonia.
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Affiliation(s)
- Estefania Hernandez-Martin
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Maral Kasiri
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - Sumiko Abe
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Jennifer MacLean
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Joffre Olaya
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Mark Liker
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Jason Chu
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Terence D. Sanger
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
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7
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Lee JH, Liu Q, Dadgar-Kiani E. Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI. Science 2022; 378:493-499. [PMID: 36327349 PMCID: PMC10543742 DOI: 10.1126/science.abq3868] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Can we construct a model of brain function that enables an understanding of whole-brain circuit mechanisms underlying neurological disease and use it to predict the outcome of therapeutic interventions? How are pathologies in neurological disease, some of which are observed to have spatial spreading mechanisms, associated with circuits and brain function? In this review, we discuss approaches that have been used to date and future directions that can be explored to answer these questions. By combining optogenetic functional magnetic resonance imaging (fMRI) with computational modeling, cell type-specific, large-scale brain circuit function and dysfunction are beginning to be quantitatively parameterized. We envision that these developments will pave the path for future therapeutics developments based on a systems engineering approach aimed at directly restoring brain function.
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Affiliation(s)
- Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, CA 94305, USA
| | - Qin Liu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Ehsan Dadgar-Kiani
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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8
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Mullié Y, Drew T. Pallidal Activity Related to Posture and Movement during Reaching in the Cat. J Neurosci 2022; 42:6069-6089. [PMID: 35732496 PMCID: PMC9351645 DOI: 10.1523/jneurosci.0467-22.2022] [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: 03/02/2022] [Revised: 05/15/2022] [Accepted: 06/07/2022] [Indexed: 02/05/2023] Open
Abstract
We tested the hypothesis that the pallidum contributes to the control of both posture and movement. We recorded neuronal activity from the pallidum in a task in which male cats reached forward from a standing posture to depress a lever. In agreement with previous studies, we found that a majority of pallidal cells (91/116, 78%), including neurons in both the entopeduncular nucleus and the globus pallidus, showed significant modulation of their activity during reaching with the contralateral limb. Mostly different populations of cells were active during the transport (flexion) and lever press (extension) phase of the task. Most cells showed dynamic patterns of activity related to the movement. However, a modest proportion of modulated cells (18/91, 20%) showed properties consistent with a contribution to the control of anticipatory postural responses, whereas a further 10% showed activity consistent with a contribution to postural support during the movement. Although some cells that showed modified activity only during reaches with the contralateral forelimb, many cells (65/91, 71%) were also activated during reaches with the ipsilateral forelimb. This was particularly true for cells related to the lever press, many of which discharged similarly during reaches of either limb. This suggests a context-dependent control of movement and posture in which the same muscles are used for different functions during contralateral and ipsilateral reach. Comparison with the results from recordings made previously from the motor cortex and the pontomedullary reticular formation in the same task show more similarities with the former than the latter.SIGNIFICANCE STATEMENT Pathologic changes in basal ganglia function frequently lead to problems with postural stability and gait initiation. Here, we show that some neurons in one of the output regions of the basal ganglia, the pallidum, show discharge activity compatible with a contribution to postural control. At the same time, we note that such cells are a minority in this region with most cells being related to movement rather than posture. We also show that many neurons are active during movements of both the contralateral and ipsilateral limbs, sometimes with identical discharge patterns. We suggest that this indicates a context-dependent regulation of movement and posture in the pallidum.
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Affiliation(s)
- Yannick Mullié
- Département de Neurosciences, Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage, Groupe de Recherche sur le Signalisation Neurale et la Circuiterie, Université de Montréal, Montréal, Québec H3C 3J7, Canada
| | - Trevor Drew
- Département de Neurosciences, Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage, Groupe de Recherche sur le Signalisation Neurale et la Circuiterie, Université de Montréal, Montréal, Québec H3C 3J7, Canada
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9
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Identifying control ensembles for information processing within the cortico-basal ganglia-thalamic circuit. PLoS Comput Biol 2022; 18:e1010255. [PMID: 35737720 PMCID: PMC9258830 DOI: 10.1371/journal.pcbi.1010255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/06/2022] [Accepted: 05/27/2022] [Indexed: 11/20/2022] Open
Abstract
In situations featuring uncertainty about action-reward contingencies, mammals can flexibly adopt strategies for decision-making that are tuned in response to environmental changes. Although the cortico-basal ganglia thalamic (CBGT) network has been identified as contributing to the decision-making process, it features a complex synaptic architecture, comprised of multiple feed-forward, reciprocal, and feedback pathways, that complicate efforts to elucidate the roles of specific CBGT populations in the process by which evidence is accumulated and influences behavior. In this paper we apply a strategic sampling approach, based on Latin hypercube sampling, to explore how variations in CBGT network properties, including subpopulation firing rates and synaptic weights, map to variability of parameters in a normative drift diffusion model (DDM), representing algorithmic aspects of information processing during decision-making. Through the application of canonical correlation analysis, we find that this relationship can be characterized in terms of three low-dimensional control ensembles within the CBGT network that impact specific qualities of the emergent decision policy: responsiveness (a measure of how quickly evidence evaluation gets underway, associated with overall activity in corticothalamic and direct pathways), pliancy (a measure of the standard of evidence needed to commit to a decision, associated largely with overall activity in components of the indirect pathway of the basal ganglia), and choice (a measure of commitment toward one available option, associated with differences in direct and indirect pathways across action channels). These analyses provide mechanistic predictions about the roles of specific CBGT network elements in tuning the way that information is accumulated and translated into decision-related behavior.
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10
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Inagaki HK, Chen S, Ridder MC, Sah P, Li N, Yang Z, Hasanbegovic H, Gao Z, Gerfen CR, Svoboda K. A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement. Cell 2022; 185:1065-1081.e23. [PMID: 35245431 PMCID: PMC8990337 DOI: 10.1016/j.cell.2022.02.006] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 11/15/2021] [Accepted: 02/03/2022] [Indexed: 01/06/2023]
Abstract
Motor behaviors are often planned long before execution but only released after specific sensory events. Planning and execution are each associated with distinct patterns of motor cortex activity. Key questions are how these dynamic activity patterns are generated and how they relate to behavior. Here, we investigate the multi-regional neural circuits that link an auditory "Go cue" and the transition from planning to execution of directional licking. Ascending glutamatergic neurons in the midbrain reticular and pedunculopontine nuclei show short latency and phasic changes in spike rate that are selective for the Go cue. This signal is transmitted via the thalamus to the motor cortex, where it triggers a rapid reorganization of motor cortex state from planning-related activity to a motor command, which in turn drives appropriate movement. Our studies show how midbrain can control cortical dynamics via the thalamus for rapid and precise motor behavior.
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Affiliation(s)
- Hidehiko K Inagaki
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA.
| | - Susu Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Department of Neuroscience, Physiology, and Pharmacology, University College London, London WC1E 6BT, UK
| | - Margreet C Ridder
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Pankaj Sah
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia; Joint Center for Neuroscience and Neural Engineering, and Department of Biology, Southern University of Science and Technology, Shenzhen, Guangdong Province 518055, China
| | - Nuo Li
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zidan Yang
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
| | - Hana Hasanbegovic
- Department of Neuroscience, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Zhenyu Gao
- Department of Neuroscience, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | | | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Allen Institute for Neural Dynamics, Seattle, WA 98109, USA.
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Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State. eNeuro 2022; 9:ENEURO.0376-21.2022. [PMID: 35140075 PMCID: PMC8938981 DOI: 10.1523/eneuro.0376-21.2022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/27/2021] [Accepted: 01/04/2022] [Indexed: 12/30/2022] Open
Abstract
The basal ganglia (BG) are crucial for a variety of motor and cognitive functions. Changes induced by persistent low-dopamine (e.g., in Parkinson’s disease; PD) result in aberrant changes in steady-state population activity (β band oscillations) and the transient response of the BG. Typically, a brief cortical stimulation results in a triphasic response in the substantia nigra pars reticulata (SNr; an output of the BG). The properties of the triphasic responses are shaped by dopamine levels. While mechanisms underlying aberrant steady state activity are well studied, it is still unclear which BG interactions are crucial for the aberrant transient responses in the BG. Moreover, it is also unclear whether mechanisms underlying the aberrant changes in steady-state activity and transient response are the same. Here, we used numerical simulations of a network model of BG to identify the key factors that determine the shape of the transient responses. We show that an aberrant transient response of the SNr in the low-dopamine state involves changes in the direct pathway and the recurrent interactions within the globus pallidus externa (GPe) and between GPe and subthalamic nucleus (STN). However, the connections from D2-type spiny projection neurons (D2-SPN) to GPe are most crucial in shaping the transient response and by restoring them to their healthy level, we could restore the shape of transient response even in low-dopamine state. Finally, we show that the changes in BG that result in aberrant transient response are also sufficient to generate pathologic oscillatory activity in the steady state.
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12
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Magnusson JL, Leventhal DK. Revisiting the "Paradox of Stereotaxic Surgery": Insights Into Basal Ganglia-Thalamic Interactions. Front Syst Neurosci 2021; 15:725876. [PMID: 34512279 PMCID: PMC8429495 DOI: 10.3389/fnsys.2021.725876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Abstract
Basal ganglia dysfunction is implicated in movement disorders including Parkinson Disease, dystonia, and choreiform disorders. Contradicting standard "rate models" of basal ganglia-thalamic interactions, internal pallidotomy improves both hypo- and hyper-kinetic movement disorders. This "paradox of stereotaxic surgery" was recognized shortly after rate models were developed, and is underscored by the outcomes of deep brain stimulation (DBS) for movement disorders. Despite strong evidence that DBS activates local axons, the clinical effects of lesions and DBS are nearly identical. These observations argue against standard models in which GABAergic basal ganglia output gates thalamic activity, and raise the question of how lesions and stimulation can have similar effects. These paradoxes may be resolved by considering thalamocortical loops as primary drivers of motor output. Rather than suppressing or releasing cortex via motor thalamus, the basal ganglia may modulate the timing of thalamic perturbations to cortical activity. Motor cortex exhibits rotational dynamics during movement, allowing the same thalamocortical perturbation to affect motor output differently depending on its timing with respect to the rotational cycle. We review classic and recent studies of basal ganglia, thalamic, and cortical physiology to propose a revised model of basal ganglia-thalamocortical function with implications for basic physiology and neuromodulation.
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Affiliation(s)
| | - Daniel K Leventhal
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States.,Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.,Parkinson Disease Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, United States.,Department of Neurology, VA Ann Arbor Health System, Ann Arbor, MI, United States
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Logiaco L, Abbott LF, Escola S. Thalamic control of cortical dynamics in a model of flexible motor sequencing. Cell Rep 2021; 35:109090. [PMID: 34077721 PMCID: PMC8449509 DOI: 10.1016/j.celrep.2021.109090] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/04/2021] [Accepted: 04/16/2021] [Indexed: 12/26/2022] Open
Abstract
The neural mechanisms that generate an extensible library of motor motifs and flexibly string them into arbitrary sequences are unclear. We developed a model in which inhibitory basal ganglia output neurons project to thalamic units that are themselves bidirectionally connected to a recurrent cortical network. We model the basal ganglia inhibitory patterns as silencing some thalamic neurons while leaving others disinhibited and free to interact with cortex during specific motifs. We show that a small number of disinhibited thalamic neurons can control cortical dynamics to generate specific motor output in a noise-robust way. Additionally, a single "preparatory" thalamocortical network can produce fast cortical dynamics that support rapid transitions between any pair of learned motifs. If the thalamic units associated with each sequence component are segregated, many motor outputs can be learned without interference and then combined in arbitrary orders for the flexible production of long and complex motor sequences.
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Affiliation(s)
- Laureline Logiaco
- Zuckerman Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Zuckerman Institute, Department of Psychiatry, Columbia University, New York, NY 10027, USA.
| | - L F Abbott
- Zuckerman Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA
| | - Sean Escola
- Zuckerman Institute, Department of Psychiatry, Columbia University, New York, NY 10027, USA
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Fischer P. Mechanisms of Network Interactions for Flexible Cortico-Basal Ganglia-Mediated Action Control. eNeuro 2021; 8:ENEURO.0009-21.2021. [PMID: 33883192 PMCID: PMC8205496 DOI: 10.1523/eneuro.0009-21.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 01/28/2023] Open
Abstract
In humans, finely tuned γ synchronization (60-90 Hz) rapidly appears at movement onset in a motor control network involving primary motor cortex, the basal ganglia and motor thalamus. Yet the functional consequences of brief movement-related synchronization are still unclear. Distinct synchronization phenomena have also been linked to different forms of motor inhibition, including relaxing antagonist muscles, rapid movement interruption and stabilizing network dynamics for sustained contractions. Here, I will introduce detailed hypotheses about how intrasite and intersite synchronization could interact with firing rate changes in different parts of the network to enable flexible action control. The here proposed cause-and-effect relationships shine a spotlight on potential key mechanisms of cortico-basal ganglia-thalamo-cortical (CBGTC) communication. Confirming or revising these hypotheses will be critical in understanding the neuronal basis of flexible movement initiation, invigoration and inhibition. Ultimately, the study of more complex cognitive phenomena will also become more tractable once we understand the neuronal mechanisms underlying behavioral readouts.
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Affiliation(s)
- Petra Fischer
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, United Kingdom
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Nejad MM, Rotter S, Schmidt R. Basal ganglia and cortical control of thalamic rebound spikes. Eur J Neurosci 2021; 54:4295-4313. [PMID: 33914390 DOI: 10.1111/ejn.15258] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 04/09/2021] [Accepted: 04/24/2021] [Indexed: 12/29/2022]
Abstract
Movement-related decreases in firing rate have been observed in basal ganglia output neurons. They may transmit motor signals to the thalamus, but the effect of these firing rate decreases on downstream neurons in the motor thalamus is not known. One possibility is that they lead to thalamic post-inhibitory rebound spikes. However, it has also been argued that the physiological conditions permitting rebound spiking are pathological, and primarily present in Parkinson's disease. As in Parkinson's disease neural activity becomes pathologically correlated, we investigated the impact of correlations in basal ganglia output on the transmission of motor signals using a Hodgkin-Huxley model of thalamocortical neurons. We found that such correlations disrupt the transmission of motor signals via rebound spikes by decreasing the signal-to-noise ratio and increasing the trial-to-trial variability. We further examined the role of sensory responses in basal ganglia output neurons and the effect of cortical excitation of motor thalamus in modulating rebound spiking. Interestingly, both could either promote or suppress the generation of rebound spikes depending on their timing relative to the motor signal. Finally, we determined parameter regimes, such as levels of excitation, under which rebound spiking is feasible in the model, and confirmed that the conditions for rebound spiking are primarily given in pathological regimes. However, we also identified specific conditions in the model that would allow rebound spiking to occur in healthy animals in a small subset of thalamic neurons. Overall, our model provides novel insights into differences between normal and pathological transmission of motor signals.
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Affiliation(s)
- Mohammadreza Mohagheghi Nejad
- Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany
- Department of Computational Science and Technology, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Stefan Rotter
- Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Robert Schmidt
- Department of Psychology, University of Sheffield, Sheffield, UK
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