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Zheng C, Wang Q, Cui H. Continuous sensorimotor transformation enhances robustness of neural dynamics to perturbation in macaque motor cortex. Nat Commun 2025; 16:3213. [PMID: 40180984 PMCID: PMC11968799 DOI: 10.1038/s41467-025-58421-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 03/20/2025] [Indexed: 04/05/2025] Open
Abstract
Neural activity in the motor cortex evolves dynamically to prepare and generate movement. Here, we investigate how motor cortical dynamics adapt to dynamic environments and whether these adaptations influence robustness against disruptions. We apply intracortical microstimulation (ICMS) in the motor cortex of monkeys performing delayed center-out reaches to either a static target (static) or a rotating target (moving) that required interception. While ICMS prolongs reaction times (RTs) in the static condition, it does not increase RTs in the moving condition, correlating with faster recovery of neural population activity post-perturbation. Neural dynamics suggests that the moving condition involves ongoing sensorimotor transformations during the delay period, whereas motor planning in the static condition is completed shortly. A neural network model shows that continuous feedback input rapidly corrects perturbation-induced errors in the moving condition. We conclude that continuous sensorimotor transformations enhance the motor cortex's resilience to perturbations, facilitating timely movement execution.
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Affiliation(s)
- Cong Zheng
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
| | - Qifan Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - He Cui
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
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Lv Q, Wang M, Bu C, Liao J, Wang K, Xu H, Liang X, Zheng N, Lin L, Ma L, Wang W, Ma Z, Cheng M, Zhao X, Lu L, Zhang Y. Smoking and High-Altitude Exposure Affect Intrinsic Neural Activity: A fMRI Study of Interactive Effects. Addict Biol 2025; 30:e70042. [PMID: 40272188 PMCID: PMC12020023 DOI: 10.1111/adb.70042] [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: 03/23/2025] [Revised: 03/23/2025] [Accepted: 04/10/2025] [Indexed: 04/25/2025]
Abstract
Smoking and high-altitude (HA) exposure both adversely affect human health, with smoking linked to various cancers and high-altitude environments causing physiological and neurological changes. Although the effects of smoking and HA exposure on brain structure and function have been studied separately, their combined impact is still rarely explored. This study aims to investigate the interactive effects of smoking and HA exposure on intrinsic brain activity using the resting-state functional magnetic resonance imaging (rs-fMRI) analysed by the amplitude of low-frequency fluctuations (ALFF) method. We used a mixed sample design, including four groups: (i) HA smokers (n = 22); (ii) HA nonsmokers (n = 22); (iii) sea-level (SL) smokers (n = 26); and (iv) SL nonsmokers (n = 26), for a total of 96 male participants. All subjects underwent resting-state functional magnetic resonance imaging. ALFF was used to assess differences in brain activity among the four groups. Two-way analysis of variance (ANOVA) was conducted to analyse the effects of smoking, high-altitude exposure and their interaction on ALFF. As for the main effect of smoking, elevated ALFF was found in the right superior frontal gyrus, right middle frontal gyrus, right inferior frontal gyrus, right middle cingulate cortex and right precentral gyrus. As for the main effect of HA exposure, elevated ALFF was found in the right putamen, right insula, right inferior frontal gyrus, right middle temporal gyrus, right precentral gyrus, right inferior temporal gyrus and right fusiform. A significant interaction effect between smoking and HA exposure was observed in the right precentral gyrus. Post hoc analysis for the right precentral gyrus showed significantly increased ALFF in groups including HA versus SL smokers; HA versus SL nonsmokers; and HA smokers versus HA nonsmokers. Our findings demonstrate that both smoking and HA exposure independently influence spontaneous brain activity, with a significant interaction between the two factors in modulating brain function. These results offer a neuroimaging-based perspective on substance addiction in high-altitude populations and contribute to a deeper understanding of high-altitude adaptation.
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Affiliation(s)
- Qingqing Lv
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Minghe Wang
- ZhengZhou Health Vocational CollegeZhengzhouChina
| | - Chunxiao Bu
- Department of Magnetic Resonance ImagingFirst Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Junjie Liao
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Kefan Wang
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Hui Xu
- Department of RadiologyQinghai Provincial People's HospitalXiningChina
| | - Xijuan Liang
- Department of RadiologyQinghai Provincial People's HospitalXiningChina
| | - Ning Zheng
- Clinical and Technical SupportPhilips HealthcareBeijingChina
| | - Liangjie Lin
- Clinical and Technical SupportPhilips HealthcareBeijingChina
| | - Longyao Ma
- Department of Magnetic Resonance ImagingFirst Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Weijian Wang
- Department of Magnetic Resonance ImagingFirst Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Zhen Ma
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Meiying Cheng
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xin Zhao
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Lin Lu
- Department of RadiologyThird Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yong Zhang
- Department of Magnetic Resonance ImagingFirst Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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Bray IE, Clarke SE, Casey KM, Nuyujukian P. Neuroelectrophysiology-compatible electrolytic lesioning. eLife 2024; 12:RP84385. [PMID: 39259198 PMCID: PMC11390112 DOI: 10.7554/elife.84385] [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: 09/12/2024] Open
Abstract
Lesion studies have historically been instrumental for establishing causal connections between brain and behavior. They stand to provide additional insight if integrated with multielectrode techniques common in systems neuroscience. Here, we present and test a platform for creating electrolytic lesions through chronically implanted, intracortical multielectrode probes without compromising the ability to acquire neuroelectrophysiology. A custom-built current source provides stable current and allows for controlled, repeatable lesions in awake-behaving animals. Performance of this novel lesioning technique was validated using histology from ex vivo and in vivo testing, current and voltage traces from the device, and measurements of spiking activity before and after lesioning. This electrolytic lesioning method avoids disruptive procedures, provides millimeter precision over the extent and submillimeter precision over the location of the injury, and permits electrophysiological recording of single-unit activity from the remaining neuronal population after lesioning. This technique can be used in many areas of cortex, in several species, and theoretically with any multielectrode probe. The low-cost, external lesioning device can also easily be adopted into an existing electrophysiology recording setup. This technique is expected to enable future causal investigations of the recorded neuronal population's role in neuronal circuit function, while simultaneously providing new insight into local reorganization after neuron loss.
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Affiliation(s)
- Iliana E Bray
- Department of Electrical Engineering, Stanford UniversityStanfordUnited States
| | - Stephen E Clarke
- Department of Bioengineering, Stanford UniversityStanfordUnited States
| | - Kerriann M Casey
- Department of Comparative Medicine, Stanford UniversityStanfordUnited States
| | - Paul Nuyujukian
- Department of Electrical Engineering, Stanford UniversityStanfordUnited States
- Department of Bioengineering, Stanford UniversityStanfordUnited States
- Department of Neurosurgery, Stanford UniversityStanfordUnited States
- Wu Tsai Neuroscience Institute, Stanford UniversityStanfordUnited States
- Bio-X, Stanford UniversityStanfordUnited States
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Wang Y, Zhang Y, Xu T, Han X, Ge X, Chen F. Finger motor representation supports the autonomy in arithmetic: neuroimaging evidence from abacus training. Cereb Cortex 2024; 34:bhad524. [PMID: 38186011 DOI: 10.1093/cercor/bhad524] [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: 07/24/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Researches have reported the close association between fingers and arithmetic. However, it remains unclear whether and how finger training can benefit arithmetic. To address this issue, we used the abacus-based mental calculation (AMC), which combines finger training and mental arithmetic learning, to explore the neural correlates underlying finger-related arithmetic training. A total of 147 Chinese children (75 M/72 F, mean age, 6.89 ± 0.46) were recruited and randomly assigned into AMC and control groups at primary school entry. The AMC group received 5 years of AMC training, and arithmetic abilities and resting-state functional magnetic resonance images data were collected from both groups at year 1/3/5. The connectome-based predictive modeling was used to find the arithmetic-related networks of each group. Compared to controls, the AMC's positively arithmetic-related network was less located in the control module, and the inter-module connections between somatomotor-default and somatomotor-control modules shifted to somatomotor-visual and somatomotor-dorsal attention modules. Furthermore, the positive network of the AMC group exhibited a segregated connectivity pattern, with more intra-module connections than the control group. Overall, our results suggested that finger motor representation with motor module involvement facilitated arithmetic-related network segregation, reflecting increased autonomy of AMC, thus reducing the dependency of arithmetic on higher-order cognitive functions.
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Affiliation(s)
- Yanjie Wang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Yi Zhang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Tianyong Xu
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Xiao Han
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Xuelian Ge
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Feiyan Chen
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
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Ruszala B, Mazurek KA, Schieber MH. Somatosensory cortex microstimulation modulates primary motor and ventral premotor cortex neurons with extensive spatial convergence and divergence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.05.552025. [PMID: 37609258 PMCID: PMC10441345 DOI: 10.1101/2023.08.05.552025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Intracortical microstimulation (ICMS) is known to affect distant neurons transynaptically, yet the extent to which ICMS pulses delivered in one cortical area modulate neurons in other cortical areas remains largely unknown. Here we assessed how the individual pulses of multi-channel ICMS trains delivered in the upper extremity representation of the macaque primary somatosensory area (S1) modulate neuron firing in the primary motor cortex (M1) and in the ventral premotor cortex (PMv). S1-ICMS pulses modulated the majority of units recorded both in the M1 upper extremity representation and in PMv, producing more inhibition than excitation. Effects converged on individual neurons in both M1 and PMv from extensive S1 territories. Conversely, effects of ICMS delivered in a small region of S1 diverged to wide territories in both M1 and PMv. The effects of this direct modulation of M1 and PMv neurons produced by multi-electrode S1-ICMS like that used here may need to be taken into account by bidirectional brain-computer interfaces that decode intended movements from neural activity in these cortical motor areas. Significance Statement Although ICMS is known to produce effects transynaptically, relatively little is known about how ICMS in one cortical area affects neurons in other cortical areas. We show that the effects of multi-channel ICMS in a small patch of S1 diverge to affect neurons distributed widely in both M1 and PMv, and conversely, individual neurons in each of these areas can be affected by ICMS converging from much of the S1 upper extremity representation. Such direct effects of ICMS may complicate the decoding of motor intent from M1 or PMv when artificial sensation is delivered via S1-ICMS in bidirectional brain-computer interfaces.
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Zhang Y, Zhang Y, Mao C, Jiang Z, Fan G, Wang E, Chen Y, Palaniyappan L. Association of Cortical Gyrification With Imaging and Serum Biomarkers in Patients With Parkinson Disease. Neurology 2023; 101:e311-e323. [PMID: 37268433 PMCID: PMC10382266 DOI: 10.1212/wnl.0000000000207410] [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: 10/02/2022] [Accepted: 03/30/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Pathologic progression across the cortex is a key feature of Parkinson disease (PD). Cortical gyrification is a morphologic feature of human cerebral cortex that is tightly linked to the integrity of underlying axonal connectivity. Monitoring cortical gyrification reductions may provide a sensitive marker of progression through structural connectivity, preceding the progressive stages of PD pathology. We aimed to examine the progressive cortical gyrification reductions and their associations with overlying cortical thickness, white matter (WM) integrity, striatum dopamine availability, serum neurofilament light (NfL) chain, and CSF α-synuclein levels in PD. METHODS This study included a longitudinal dataset with baseline (T0), 1-year (T1), and 4-year (T4) follow-ups and 2 cross-sectional datasets. Local gyrification index (LGI) was computed from T1-weighted MRI data to measure cortical gyrification. Fractional anisotropy (FA) was computed from diffusion-weighted MRI data to measure WM integrity. Striatal binding ratio (SBR) was measured from 123Ioflupane SPECT scans. Serum NfL and CSF α-synuclein levels were also measured. RESULTS The longitudinal dataset included 113 patients with de novo PD and 55 healthy controls (HCs). The cross-sectional datasets included 116 patients with relatively more advanced PD and 85 HCs. Compared with HCs, patients with de novo PD showed accelerated LGI and FA reductions over 1-year period and a further decline at 4-year follow-up. Across the 3 time points, the LGI paralleled and correlated with FA (p = 0.002 at T0, p = 0.0214 at T1, and p = 0.0037 at T4) and SBR (p = 0.0095 at T0, p = 0.0035 at T1, and p = 0.0096 at T4) but not with overlying cortical thickness in patients with PD. Both LGI and FA correlated with serum NfL level (LGI: p < 0.0001 at T0, p = 0.0043 at T1; FA: p < 0.0001 at T0, p = 0.0001 at T1) but not with CSF α-synuclein level in patients with PD. In the 2 cross-sectional datasets, we revealed similar patterns of LGI and FA reductions and associations between LGI and FA in patients with more advanced PD. DISCUSSION We demonstrated progressive reductions in cortical gyrification that were robustly associated with WM microstructure, striatum dopamine availability, and serum NfL level in PD. Our findings may contribute biomarkers for PD progression and potential pathways for early interventions of PD.
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Affiliation(s)
- Yuanchao Zhang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Yu Zhang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Chengjie Mao
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Zhen Jiang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Guohua Fan
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Erlei Wang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Yifan Chen
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Lena Palaniyappan
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
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Li J, Zhang Y, Huang Z, Jiang Y, Ren Z, Liu D, Zhang J, La Piana R, Chen Y. Cortical and subcortical morphological alterations in motor subtypes of Parkinson's disease. NPJ Parkinsons Dis 2022; 8:167. [PMID: 36470900 PMCID: PMC9723125 DOI: 10.1038/s41531-022-00435-3] [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: 08/02/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
Parkinson's disease (PD) can be classified into an akinetic-rigid (AR) and a tremor-dominant (TD) subtype based on predominant motor symptoms. Patients with different motor subtypes often show divergent clinical manifestations; however, the underlying neural mechanisms remain unclear. This study aimed to characterize the cortical and subcortical morphological alterations in motor subtypes of PD. T1-weighted MRI images were obtained for 90 patients with PD (64 with the AR subtype and 26 with the TD subtype) and 56 healthy controls (HCs). Cortical surface area, sulcal depth (measured by Freesurfer's Sulc index), and subcortical volume were computed to identify the cortical and subcortical morphological alterations in the two motor subtypes. Compared with HCs, we found widespread surface area reductions in the AR subtype yet sparse surface area reductions in the TD subtype. We found no significant Sulc change in the AR subtype yet increased Sulc in the right supramarginal gyrus in the TD subtype. The hippocampal volumes in both subtypes were lower than those of HCs. In PD patients, the surface area of left posterior cingulate cortex was positively correlated with Mini-Mental State Examination (MMSE) score, while the Sulc value of right middle frontal gyrus was positively correlated with severity of motor impairments. Additionally, the hippocampal volumes were positively correlated with MMSE and Montreal Cognitive Assessment scores and negatively correlated with severity of motor impairments and Hoehn & Yahr scores. Taken together, these findings may contribute to a better understanding of the neural substrates underlying the distinct symptom profiles in the two PD subtypes.
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Affiliation(s)
- Jianyu Li
- grid.54549.390000 0004 0369 4060Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 P. R. China
| | - Yuanchao Zhang
- grid.54549.390000 0004 0369 4060Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 P. R. China
| | - Zitong Huang
- grid.54549.390000 0004 0369 4060Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 P. R. China
| | - Yihan Jiang
- grid.54549.390000 0004 0369 4060Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 P. R. China
| | - Zhanbing Ren
- grid.263488.30000 0001 0472 9649Department of Physical Education, Shenzhen University, Shenzhen, 518060 China
| | - Daihong Liu
- grid.452285.cDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030 P. R. China
| | - Jiuquan Zhang
- grid.452285.cDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030 P. R. China
| | - Roberta La Piana
- grid.14709.3b0000 0004 1936 8649Department of Neurology & Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 0G4 Canada
| | - Yifan Chen
- grid.54549.390000 0004 0369 4060Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 P. R. China
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Barrett AM, Goedert KM, Carter AR, Chaudhari A. Spatial neglect treatment: The brain's spatial-motor Aiming systems. Neuropsychol Rehabil 2022; 32:662-688. [PMID: 33941021 PMCID: PMC9632633 DOI: 10.1080/09602011.2020.1862678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 10/29/2020] [Indexed: 10/21/2022]
Abstract
Animal and human literature supports spatial-motor "Aiming" bias, a frontal-subcortical syndrome, as a core deficit in spatial neglect. However, spatial neglect treatment studies rarely assess Aiming errors. Two knowledge gaps result: spatial neglect rehabilitation studies fail to capture the impact on motor-exploratory aspects of functional disability. Also, across spatial neglect treatment studies, discrepant treatment effects may also result from sampling different proportions of patients with Aiming bias. We review behavioural evidence for Aiming spatial neglect, and demonstrate the importance of measuring and targeting Aiming bias for treatment, by reviewing literature on Aiming spatial neglect and prism adaptation treatment, and presenting new preliminary data on bromocriptine treatment. Finally, we review neuroanatomical and network disruption that may give rise to Aiming spatial neglect. Because Aiming spatial neglect predicts prism adaptation treatment response, assessment may broaden the ability of rehabilitation research to capture functionally-relevant disability. Frontal brain lesions predict both the presence of Aiming spatial neglect, and a robust response to some spatial neglect interventions. Research is needed that co-stratifies spatial neglect patients by lesion location and Aiming spatial neglect, to personalize spatial neglect rehabilitation and perhaps even open a path to spatial retraining as a means of promoting better mobility after stroke.
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Affiliation(s)
- A M Barrett
- Neurorehabilitation Division, Emory Brain Health Center, and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Health System, Decatur, GA, USA
| | - Kelly M Goedert
- Department of Psychology, Seton Hall University, South Orange, NJ, USA
| | - Alexandre R Carter
- Neurorehabilitation Division, Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
- Program in Occupational Therapy, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Amit Chaudhari
- Department of Neurology, University of California Irvine, Irvine, CA, USA
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Draganova R, Konietschke F, Steiner KM, Elangovan N, Gümüs M, Göricke SM, Ernst TM, Deistung A, van Eimeren T, Konczak J, Timmann D. Motor training-related brain reorganization in patients with cerebellar degeneration. Hum Brain Mapp 2021; 43:1611-1629. [PMID: 34894171 PMCID: PMC8886660 DOI: 10.1002/hbm.25746] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 10/28/2021] [Accepted: 11/20/2021] [Indexed: 11/09/2022] Open
Abstract
Cerebellar degeneration progressively impairs motor function. Recent research showed that cerebellar patients can improve motor performance with practice, but the optimal feedback type (visual, proprioceptive, verbal) for such learning and the underlying neuroplastic changes are unknown. Here, patients with cerebellar degeneration (N = 40) and age‐ and sex‐matched healthy controls (N = 40) practiced single‐joint, goal‐directed forearm movements for 5 days. Cerebellar patients improved performance during visuomotor practice, but a training focusing on either proprioceptive feedback, or explicit verbal feedback and instruction did not show additional benefits. Voxel‐based morphometry revealed that after training gray matter volume (GMV) was increased prominently in the visual association cortices of controls, whereas cerebellar patients exhibited GMV increase predominantly in premotor cortex. The premotor cortex as a recipient of cerebellar efferents appears to be an important hub in compensatory remodeling following damage of the cerebro‐cerebellar motor system.
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Affiliation(s)
- Rossitza Draganova
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Frank Konietschke
- Institute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Katharina M Steiner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Naveen Elangovan
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Meltem Gümüs
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Department of Neurosurgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sophia M Göricke
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas M Ernst
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Andreas Deistung
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Department for Radiation Medicine, University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, University of Cologne, Cologne, Germany
| | - Jürgen Konczak
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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10
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Wen M, Yang Z, Wei Y, Huang H, Zheng R, Wang W, Gao X, Zhang M, Fang K, Zhang Y, Cheng J, Han S. More than just statics: Temporal dynamic changes of intrinsic brain activity in cigarette smoking. Addict Biol 2021; 26:e13050. [PMID: 34085358 DOI: 10.1111/adb.13050] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/30/2021] [Accepted: 04/27/2021] [Indexed: 01/15/2023]
Abstract
Smoking is companied with altered intrinsic activity of the brain measured by amplitude of low-frequency fluctuation. Evidence has revealed that human brain activity is a highly dynamic and rapidly changing system. How exactly cigarette smoking affect temporal dynamic intrinsic brain activity is not fully understood nor is it clear how smoking severity influences spontaneous brain activity. Dynamic amplitude of low-frequency fluctuation (dALFF) was used to examine the dynamic temporal variability in 93 participants (63 smokers, 30 nonsmokers). We further divided smokers into light and heavy smokers. The temporal variability in intrinsic brain activity among these groups was compared. Correlation analyses were performed between dALFF in areas showing group differences and smoking behaviour (e.g., the Fagerström Test for Nicotine Dependence [FTND] scores and pack-years). Smokers showed significantly increased dALFF in the left inferior/middle frontal gyrus, right orbitofrontal gyrus, right insula, left superior/medial frontal gyrus and right middle frontal gyrus than nonsmokers. Light smokers showed increased dALFF variability in the left prefrontal cortex. Heavy smokers showed increased dynamics in specific brain regions, including the right postcentral gyrus, right insula and left precentral gyrus. Furthermore, the temporal variability in dALFF in the left superior/medial frontal gyrus, left superior/middle frontal gyrus, right middle frontal gyrus and right insula was positively correlated with pack-years or FTND. Combined, these results suggest that smokers increase stable and persistent spontaneous brain activity in prefrontal cortex, involved impaired gold-directed action and value-based decision-making. In addition, individuals with heavier smoking severity show increased perturbance on spontaneous brain activity of perception and sensorimotor, related to increased reliance.
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11
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Vadalà M, Cistaro A, Quartuccio N, Calcagni ML, Fania P, Margotti S, Schiera IG, Laurino C, Palmieri B. 18F-FDG-PET brain imaging may highlight brain metabolic alterations in dysautonomic syndrome after human papilloma virus vaccination. Nucl Med Commun 2020; 41:1275-1282. [PMID: 32897935 DOI: 10.1097/mnm.0000000000001280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM The aim of this study was to evaluate brain glucose metabolism by means of [18F]-fluoro-deoxygluycose (F-FDG) PET in a group of patients presenting dysautonomic syndrome after human papilloma virus (HPV) immunization. METHODS Medical records of patients, referred to the 'Second Opinion Medical Consulting Network' Medical Centre (Modena, Italy) diagnosed with dysautonomic syndrome were searched. Inclusion criteria were presence in the medical history of adverse drug reactions following HPV vaccine; a Montreal Cognitive Assessment score <25 and good quality of a F-FDG-PET brain scan performed within 12 months from the diagnosis of dysautonomic syndrome. F-FDG-PET images of patients (HPV-group) were compared to a control group, matched for age and sex, using statistical parametric mapping (SPM). RESULTS The F-FDG-PET study was available for five female patients. The SPM-group analysis revealed significant hypometabolism (P < 0.05 false discovery rate corrected) in the right superior and medial temporal gyrus (Brodmann areas 22, 21) and insula (Brodmann area 13). At a threshold of P < 0.001 (uncorrected), further hypometabolic regions were revealed in the right superior temporal gyrus (Brodmann area 42) and caudate head and in the left superior temporal gyrus (Brodmann area 22), frontal subcallosal gyrus (Brodmann area 47) and insula (Brodmann area 13). Relative hypermetabolism (P = 0.001) was revealed in the right premotor cortex (Brodmann area 6). CONCLUSION This study revealed the possibility of altered brain glucose metabolism in subjects with dysautonomic syndrome post-immunization with HPV vaccine. These results could reinforce the hypothesis of a causal relationship between HPV vaccine, or some component included in the vaccine and the development of clinical manifestations.
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Affiliation(s)
- Maria Vadalà
- Department of General Surgery and Surgical Specialties, University of Modena and Reggio Emilia Medical School, Surgical Clinic
- Network of the Second Opinion, Modena
| | - Angelina Cistaro
- Nuclear Medicine Department, Galliera Hospital, Genoa
- Coordinator of AIMN Paediatric Study Group, Milan, Italy
| | - Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Civico, Di Cristina and Benfratelli Hospitals, Palermo
| | | | | | | | | | - Carmen Laurino
- Department of General Surgery and Surgical Specialties, University of Modena and Reggio Emilia Medical School, Surgical Clinic
- Network of the Second Opinion, Modena
| | - Beniamino Palmieri
- Department of General Surgery and Surgical Specialties, University of Modena and Reggio Emilia Medical School, Surgical Clinic
- Network of the Second Opinion, Modena
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12
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Nashef A, Cohen O, Harel R, Israel Z, Prut Y. Reversible Block of Cerebellar Outflow Reveals Cortical Circuitry for Motor Coordination. Cell Rep 2020; 27:2608-2619.e4. [PMID: 31141686 DOI: 10.1016/j.celrep.2019.04.100] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 02/21/2019] [Accepted: 04/22/2019] [Indexed: 12/29/2022] Open
Abstract
Coordinated movements are achieved by well-timed activation of selected muscles. This process relies on intact cerebellar circuitry, as demonstrated by motor impairments following cerebellar lesions. Based on anatomical connectivity and symptoms observed in cerebellar patients, we hypothesized that cerebellar dysfunction should disrupt the temporal patterns of motor cortical activity, but not the selected motor plan. To test this hypothesis, we reversibly blocked cerebellar outflow in primates while monitoring motor behavior and neural activity. This manipulation replicated the impaired motor timing and coordination characteristic of cerebellar ataxia. We found extensive changes in motor cortical activity, including loss of response transients at movement onset and decoupling of task-related activity. Nonetheless, the spatial tuning of cells was unaffected, and their early preparatory activity was mostly intact. These results indicate that the timing of actions, but not the selection of muscles, is regulated through cerebellar control of motor cortical activity.
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Affiliation(s)
- Abdulraheem Nashef
- Department of Medical Neurobiology, IMRIC and ELSC, The Hebrew University, Hadassah Medical School, Jerusalem 9112102, Israel
| | - Oren Cohen
- Department of Medical Neurobiology, IMRIC and ELSC, The Hebrew University, Hadassah Medical School, Jerusalem 9112102, Israel
| | - Ran Harel
- Department of Neurosurgery, Sheba Medical Center, Tel Aviv, Israel
| | - Zvi Israel
- Department of Neurosurgery, Hadassah Hospital, Jerusalem, Israel
| | - Yifat Prut
- Department of Medical Neurobiology, IMRIC and ELSC, The Hebrew University, Hadassah Medical School, Jerusalem 9112102, Israel.
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13
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Mazurek KA, Schieber MH. Injecting Information into the Mammalian Cortex: Progress, Challenges, and Promise. Neuroscientist 2020; 27:129-142. [PMID: 32648527 DOI: 10.1177/1073858420936253] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
For 150 years artificial stimulation has been used to study the function of the nervous system. Such stimulation-whether electrical or optogenetic-eventually may be used in neuroprosthetic devices to replace lost sensory inputs and to otherwise introduce information into the nervous system. Efforts toward this goal can be classified broadly as either biomimetic or arbitrary. Biomimetic stimulation aims to mimic patterns of natural neural activity, so that the subject immediately experiences the artificial stimulation as if it were natural sensation. Arbitrary stimulation, in contrast, makes no attempt to mimic natural patterns of neural activity. Instead, different stimuli-at different locations and/or in different patterns-are assigned different meanings randomly. The subject's time and effort then are required to learn to interpret different stimuli, a process that engages the brain's inherent plasticity. Here we will examine progress in using artificial stimulation to inject information into the cerebral cortex and discuss the challenges for and the promise of future development.
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Affiliation(s)
- Kevin A Mazurek
- Department of Neuroscience, University of Rochester, Rochester, NY, USA.,Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY, USA
| | - Marc H Schieber
- Department of Neuroscience, University of Rochester, Rochester, NY, USA.,Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY, USA.,Department of Neurology, University of Rochester, Rochester, NY, USA.,Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA
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14
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Vyas S, O'Shea DJ, Ryu SI, Shenoy KV. Causal Role of Motor Preparation during Error-Driven Learning. Neuron 2020; 106:329-339.e4. [PMID: 32053768 PMCID: PMC7185427 DOI: 10.1016/j.neuron.2020.01.019] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 11/12/2019] [Accepted: 01/16/2020] [Indexed: 11/28/2022]
Abstract
Current theories suggest that an error-driven learning process updates trial-by-trial to facilitate motor adaptation. How this process interacts with motor cortical preparatory activity-which current models suggest plays a critical role in movement initiation-remains unknown. Here, we evaluated the role of motor preparation during visuomotor adaptation. We found that preparation time was inversely correlated to variance of errors on current trials and mean error on subsequent trials. We also found causal evidence that intracortical microstimulation during motor preparation was sufficient to disrupt learning. Surprisingly, stimulation did not affect current trials, but instead disrupted the update computation of a learning process, thereby affecting subsequent trials. This is consistent with a Bayesian estimation framework where the motor system reduces its learning rate by virtue of lowering error sensitivity when faced with uncertainty. This interaction between motor preparation and the error-driven learning system may facilitate new probes into mechanisms underlying trial-by-trial adaptation.
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Affiliation(s)
- Saurabh Vyas
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
| | - Daniel J O'Shea
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Stephen I Ryu
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Palo Alto Medical Foundation, Palo Alto, CA 94301, USA
| | - Krishna V Shenoy
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; Bio-X Program, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
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15
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Hao ZY, Zhong Y, Ma ZJ, Xu HZ, Kong JY, Wu Z, Wu Y, Li J, Lu X, Zhang N, Wang C. Abnormal resting-state functional connectivity of hippocampal subfields in patients with major depressive disorder. BMC Psychiatry 2020; 20:71. [PMID: 32066415 PMCID: PMC7026985 DOI: 10.1186/s12888-020-02490-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/10/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Many studies have found that the hippocampus plays a very important role in major depressive disorder (MDD). The hippocampus can be divided into three subfields: the cornu ammonis (CA), dentate gyrus (DG) and subiculum. Each subfield of the hippocampus has a unique function and are differentially associated with the pathological mechanisms of MDD. However, no research exists to describe the resting state functional connectivity of each hippocampal subfield in MDD. METHODS Fifty-five patients with MDD and 25 healthy controls (HCs) matched for gender, age and years of education were obtained. A seed-based method that imposed a template on the whole brain was used to assess the resting-state functional connectivity (rsFC) of each hippocampal subfield. RESULTS Patients with MDD demonstrated increased connectivity in the left premotor cortex (PMC) and reduced connectivity in the right insula with the CA seed region. Increased connectivity was reported in the left orbitofrontal cortex (OFC) and left ventrolateral prefrontal cortex (vlPFC) with the DG seed region. The subiculum seed region revealed increased connectivity with the left premotor cortex (PMC), the right middle frontal gyrus (MFG), the left ventrolateral prefrontal cortex (vlPFC) and reduced connectivity with the right insula. ROC curves confirmed that the differences between groups were statistically significant. CONCLUSION The results suggest that the CA, DG and subiculum have significant involvement with MDD. Specifically, the abnormal functional connectivity of the CA may be related to bias of coding and integration of information in patients with MDD. The abnormal functional connectivity of the DG may be related to the impairment of working memory in patients with MDD, and the abnormal functional connectivity of the subiculum may be related to cognitive impairment and negative emotions in patients with MDD.
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Affiliation(s)
- Zi Yu Hao
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Yuan Zhong
- grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China ,grid.260474.30000 0001 0089 5711Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing, 210097 People’s Republic of China
| | - Zi Juan Ma
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Hua Zhen Xu
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Jing Ya Kong
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Zhou Wu
- grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Yun Wu
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Jian Li
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Xin Lu
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China
| | - Ning Zhang
- grid.452645.40000 0004 1798 8369Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210097 Jiangsu China ,grid.89957.3a0000 0000 9255 8984Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.89957.3a0000 0000 9255 8984Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029, Jiangsu, China. .,School of Psychology, Nanjing Normal University, Nanjing, 210097, Jiangsu, China. .,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029, Jiangsu, China. .,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, 210029, Jiangsu, China.
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16
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Mazurek KA, Schieber MH. How is electrical stimulation of the brain experienced, and how can we tell? Selected considerations on sensorimotor function and speech. Cogn Neuropsychol 2019; 36:103-116. [PMID: 31076014 PMCID: PMC6744321 DOI: 10.1080/02643294.2019.1609918] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 04/14/2019] [Accepted: 04/15/2019] [Indexed: 01/05/2023]
Abstract
Electrical stimulation of the nervous system is a powerful tool for localizing and examining the function of numerous brain regions. Delivered to certain regions of the cerebral cortex, electrical stimulation can evoke a variety of first-order effects, including observable movements or an urge to move, or somatosensory, visual, or auditory percepts. In still other regions the subject may be oblivious to the stimulation. Often overlooked, however, is whether the subject is aware of the stimulation, and if so, how the stimulation is experienced by the subject. In this review of how electrical stimulation has been used to study selected aspects of sensorimotor and language function, we raise questions that future studies might address concerning the subjects' second-order experiences of intention and agency regarding evoked movements, of the naturalness of evoked sensory percepts, and of other qualia that might be evoked in the absence of an overt first-order experience.
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Affiliation(s)
- Kevin A. Mazurek
- Department of Neurology, University of Rochester, Rochester, NY
- Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY
| | - Marc H. Schieber
- Department of Neurology, University of Rochester, Rochester, NY
- Department of Neuroscience, University of Rochester, Rochester, NY
- Department of Biomedical Engineering, University of Rochester, Rochester, NY
- Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY
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17
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Quick KM, Mischel JL, Loughlin PJ, Batista AP. The critical stability task: quantifying sensory-motor control during ongoing movement in nonhuman primates. J Neurophysiol 2018; 120:2164-2181. [PMID: 29947593 DOI: 10.1152/jn.00300.2017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Everyday behaviors require that we interact with the environment, using sensory information in an ongoing manner to guide our actions. Yet, by design, many of the tasks used in primate neurophysiology laboratories can be performed with limited sensory guidance. As a consequence, our knowledge about the neural mechanisms of motor control is largely limited to the feedforward aspects of the motor command. To study the feedback aspects of volitional motor control, we adapted the critical stability task (CST) from the human performance literature (Jex H, McDonnell J, Phatak A. IEEE Trans Hum Factors Electron 7: 138-145, 1966). In the CST, our monkey subjects interact with an inherently unstable (i.e., divergent) virtual system and must generate sensory-guided actions to stabilize it about an equilibrium point. The difficulty of the CST is determined by a single parameter, which allows us to quantitatively establish the limits of performance in the task for different sensory feedback conditions. Two monkeys learned to perform the CST with visual or vibrotactile feedback. Performance was better under visual feedback, as expected, but both monkeys were able to utilize vibrotactile feedback alone to successfully perform the CST. We also observed changes in behavioral strategy as the task became more challenging. The CST will have value for basic science investigations of the neural basis of sensory-motor integration during ongoing actions, and it may also provide value for the design and testing of bidirectional brain computer interface systems. NEW & NOTEWORTHY Currently, most behavioral tasks used in motor neurophysiology studies require primates to make short-duration, stereotyped movements that do not necessitate sensory feedback. To improve our understanding of sensorimotor integration, and to engineer meaningful artificial sensory feedback systems for brain-computer interfaces, it is crucial to have a task that requires sensory feedback for good control. The critical stability task demands that sensory information be used to guide long-duration movements.
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Affiliation(s)
- Kristin M Quick
- Department of Bioengineering, University of Pittsburgh , Pittsburgh, Pennsylvania.,Center for the Neural Basis of Cognition , Pittsburgh, Pennsylvania
| | - Jessica L Mischel
- Department of Bioengineering, University of Pittsburgh , Pittsburgh, Pennsylvania.,Center for the Neural Basis of Cognition , Pittsburgh, Pennsylvania
| | - Patrick J Loughlin
- Department of Bioengineering, University of Pittsburgh , Pittsburgh, Pennsylvania.,Center for the Neural Basis of Cognition , Pittsburgh, Pennsylvania
| | - Aaron P Batista
- Department of Bioengineering, University of Pittsburgh , Pittsburgh, Pennsylvania.,Center for the Neural Basis of Cognition , Pittsburgh, Pennsylvania
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18
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Mazurek KA, Berger M, Bollu T, Chowdhury RH, Elangovan N, Kuling IA, Sohn MH. Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement. J Neurophysiol 2018; 120:1671-1679. [PMID: 30020841 PMCID: PMC6230782 DOI: 10.1152/jn.00475.2018] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 07/15/2018] [Indexed: 01/04/2023] Open
Affiliation(s)
- Kevin A Mazurek
- Department of Neuroscience, University of Rochester , Rochester, New York
- Del Monte Institute for Neuroscience, University of Rochester , Rochester, New York
| | - Michael Berger
- Cognitive Neuroscience Laboratory, German Primate Center-Leibniz-Institute for Primate Research, Göttingen , Germany
- Faculty of Biology and Psychology, University of Göttingen , Göttingen , Germany
| | - Tejapratap Bollu
- Department of Neurobiology and Behavior, Cornell University , Ithaca, New York
| | - Raeed H Chowdhury
- Department of Biomedical Engineering, Northwestern University , Evanston, Illinois
- Department of Physiology, Northwestern University , Chicago, Illinois
| | - Naveen Elangovan
- Human Sensorimotor Control Lab, University of Minnesota , Minneapolis, Minnesota
| | - Irene A Kuling
- Department of Human Movement Sciences, VU University , Amsterdam , The Netherlands
| | - M Hongchul Sohn
- Department of Biomedical Engineering, Northwestern University , Evanston, Illinois
- Shirley Ryan AbilityLab, Chicago, Illinois
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19
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Lebedev MA, Ossadtchi A. Commentary: Injecting Instructions into Premotor Cortex. Front Cell Neurosci 2018; 12:65. [PMID: 29637931 PMCID: PMC5880917 DOI: 10.3389/fncel.2018.00065] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Accepted: 02/23/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Mikhail A Lebedev
- Department of Neurobiology, Duke University, Durham, NC, United States.,Center for Bioelectric Interfaces, National Research University Higher School of Economics, Moscow, Russia
| | - Alexei Ossadtchi
- Center for Bioelectric Interfaces, National Research University Higher School of Economics, Moscow, Russia
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20
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Motor systems: Cortical instructions. Nat Rev Neurosci 2017; 19:6-7. [PMID: 29238083 DOI: 10.1038/nrn.2017.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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