The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Regulation of parkinsonian motor behaviours by optogenetic control of basal ganglia circuitry
Open accessAbstract
Neural circuits of the basal ganglia are critical for motor planning and action selection. Two parallel basal ganglia pathways have been described, and have been proposed to exert opposing influences on motor function. According to this classical model, activation of the 'direct' pathway facilitates movement and activation of the 'indirect' pathway inhibits movement. However, more recent anatomical and functional evidence has called into question the validity of this hypothesis. Because this model has never been empirically tested, the specific function of these circuits in behaving animals remains unknown. Here we report direct activation of basal ganglia circuitry in vivo, using optogenetic control of direct- and indirect-pathway medium spiny projection neurons (MSNs), achieved through Cre-dependent viral expression of channelrhodopsin-2 in the striatum of bacterial artificial chromosome transgenic mice expressing Cre recombinase under control of regulatory elements for the dopamine D1 or D2 receptor. Bilateral excitation of indirect-pathway MSNs elicited a parkinsonian state, distinguished by increased freezing, bradykinesia and decreased locomotor initiations. In contrast, activation of direct-pathway MSNs reduced freezing and increased locomotion. In a mouse model of Parkinson's disease, direct-pathway activation completely rescued deficits in freezing, bradykinesia and locomotor initiation. Taken together, our findings establish a critical role for basal ganglia circuitry in the bidirectional regulation of motor behaviour and indicate that modulation of direct-pathway circuitry may represent an effective therapeutic strategy for ameliorating parkinsonian motor deficits.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the insula allocates over one-third of its projection to the striatum, particularly the dorsal region, underscoring its pivotal role in motor control and action selection [21][22][23][24].”
From The Insular Cortex: An Interface Between Sensation, Emotion and Cognition (2024) · cites this paper as [21]
Experimental — accuracy not yet measuredIn the citing paper
“In a simplified framework, these anatomically distinct pathways have been thought to oppose each other, resulting in net inhibition of thalamus and decrease of movement via activation of the indirect pathway, or net disinhibition (i.e. overall excitation) and increase of movement by activation of the direct pathway (Fig.1) 46,47.”
From DISSECTING OCD CIRCUITS: FROM ANIMAL MODELS TO TARGETED TREATMENTS: Review: Dissecting OCD Circuits: Animals to Treatments (2015) · cites this paper as [46]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The functional anatomy of basal ganglia disorders
Albin, R. L., Young, A. B., & Penney, J. B. (1989) · Trends in Neurosciences · doi:10.1016/0166-2236(89)90074-x · Cited by 5,353
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
Self-citationFunctional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131
Primate models of movement disorders of basal ganglia origin
DeLong, M. R. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90110-v · Cited by 3,824
D 1 and D 2 Dopamine Receptor-regulated Gene Expression of Striatonigral and Striatopallidal Neurons
Gerfen, C. R., Engber, T. M., Mahan, L. C., Susel, Z., Chase, T. N., Monsma, F. J., & Sibley, D. R. (1990) · Science · doi:10.1126/science.2147780 · Cited by 2,967
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606
Self-citationDriving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Self-citationThe role of the basal ganglia in habit formation
Yin, H. H., & Knowlton, B. J. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1919 · Cited by 2,402
Reversal of experimental parkinsonism by lesions of the subthalamic nucleus.
Bergman, H., Wichmann, T., & Delong, M. (1990) · Science · doi:10.1126/science.2402638 · Cited by 2,003
The primate subthalamic nucleus. II. Neuronal activity in the MPTP model of parkinsonism
Bergman, H., Wichmann, T., Karmon, B., & DeLong, M. R. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.2.507 · Cited by 1,366
Flagged first, then by citations
Cited by
Sorted by citations
Items 901–1,000 of 1,004
Albaugh, D. L., & Shih, Y. I. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0193 · Cited by 22
GluN1 deletions in D1- and A2A-expressing cell types reveal distinct modes of behavioral regulation
Joffe, M. E., Vitter, S. R., & Grueter, B. A. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.03.026 · Cited by 27
Optogenetic approaches to evaluate striatal function in animal models of Parkinson disease
Parker, K. L., Kim, Y.-C., Alberico, S. L., Emmons, E. B., & Narayanan, N. S. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.1/kparker · Cited by 22
Striatal Control of Movement: A Role for New Neuronal (Sub-) Populations?
Fieblinger, T. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.697284 · Cited by 21
The Hidden Life of the Basal Ganglia
Bergman, H. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/14075.001.0001 · Cited by 23
Chen, Y., Li, Y., Wang, S., Zhou, T.-T., Chen, N., & Yuan, Y. (2022) · Neurochemical Research · doi:10.1007/s11064-022-03564-6 · Cited by 22
Striatal direct pathway neurons play leading roles in accelerating rotarod motor skill learning
Liang, B., Zhang, L., Zhang, Y., Werner, C. T., Beacher, N. J., Denman, A. J., Li, Y., Chen, R., Gerfen, C. R., Barbera, G., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104245 · Cited by 21
Subthalamic and nigral neurons are differentially modulated during parkinsonian gait
Gulberti, A., Wagner, J., Horn, M. A., Reuss, J. H., Heise, M., Koeppen, J. A., Pinnschmidt, H. O., Westphal, M., Engel, A. K., Gerloff, C. P., et al. (2023) · Brain · doi:10.1093/brain/awad006 · Cited by 21
Li, H., & Jin, X. (2023) · eLife · doi:10.7554/elife.87644 · Cited by 22
Sun, H., Gan, C., Wang, L., Ji, M. J., Cao, X., Yuan, Y., Zhang, H., Shan, A., Gao, M., & Zhang, K. (2023) · Movement Disorders · doi:10.1002/mds.29595 · Cited by 21
Nicholas, M. A., & Yttri, E. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.07.022 · Cited by 21
Optogenetics: potentials for addiction research
Cao, Z. F. H., Burdakov, D., & Sarnyai, Z. (2011) · Addiction Biology · doi:10.1111/j.1369-1600.2011.00386.x · Cited by 24
Sarvestani, I. K., Lindahl, M., Kotaleski, J. H., & Ekeberg, Ö. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00013 · Cited by 21
Caudate Microstimulation Increases Value of Specific Choices
Santacruz, S. R., Rich, E. L., Wallis, J. D., & Carmena, J. M. (2017) · Current Biology · doi:10.1016/j.cub.2017.09.051 · Cited by 22
A Polyimide-Based Flexible Optoelectrodes for Low-Noise Neural Recording
Guo, Z., Ji, B., Wang, M., Ge, C., Wang, L., Gu, X., Yang, B. T., Wang, X., Li, C., & Liu, J. (2019) · IEEE Electron Device Letters · doi:10.1109/led.2019.2915323 · Cited by 22
Mullié, Y., Arto, I., Yahiaoui, N., & Drew, T. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa106 · Cited by 21
Creed, R. B., Roberts, R. C., Farmer, C. B., McMahon, L. L., & Goldberg, M. S. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105246 · Cited by 21
Gentzel, R. C., Toolan, D. M., Roberts, R., Koser, A. J., Kandebo, M., Hershey, J. C., Renger, J. J., Uslaner, J. M., & Smith, S. M. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.05.024 · Cited by 21
Buendia, J. D. J. A., Rueda‐Orozco, P. E., Hernandez-Martinez, R., Galarraga, E., & Bargas, J. (2011) · Learning & Memory · doi:10.1101/lm.023432.111 · Cited by 21
Mathar, D., Wilkinson, L., Holl, A. K., Neumann, J., Deserno, L., Villringer, A., Jahanshahi, M., & Horstmann, A. (2016) · Cortex · doi:10.1016/j.cortex.2016.09.004 · Cited by 20
Kønig, A. B., Ciriachi, C., Gether, U., & Rickhag, M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.01.013 · Cited by 20
Cromberg, L. E., Saez, T. M. M., Otero, M. G., Tomasella, E., Alloatti, M., Damianich, A., Devoto, V. M. P., Ferrario, J. E., Gelman, D. M., Rubinstein, M., et al. (2019) · Journal of Neurochemistry · doi:10.1111/jnc.14665 · Cited by 20
Motor Control: A Basal Ganglia Feedback Circuit for Action Suppression
Bevan, M. D. (2021) · Current Biology · doi:10.1016/j.cub.2020.11.067 · Cited by 20
Mechanisms of Antiparkinsonian Anticholinergic Therapy Revisited
Paz, R. M., & Murer, M. G. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.026 · Cited by 22
Coding of the long-term value of multiple future rewards in the primate striatum
Yamada, H., Inokawa, H., Matsumoto, N., Ueda, Y., Enomoto, K., & Kimura, M. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00289.2012 · Cited by 22
Ding, S., Li, L., & Zhou, F.-M. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00831.2014 · Cited by 20
Optogenetics as a neuromodulation tool in cognitive neuroscience
Pama, E. A. C., Colzato, L. S., & Hommel, B. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00610 · Cited by 22
Yan, H., & Wang, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174364 · Cited by 20
Fabrication and modification of implantable optrode arrays for in vivo optogenetic applications
Wang, L., Huang, K., Zhong, C., Wang, L., & Lu, Y. (2018) · Biophysics Reports · doi:10.1007/s41048-018-0052-4 · Cited by 21
Biomechanical evaluation of virtual reality-based turning on a self-paced linear treadmill
Oh, K., Stanley, C. J., Damiano, D. L., Kim, J., Yoon, J., & Park, H. (2018) · Gait & Posture · doi:10.1016/j.gaitpost.2018.07.175 · Cited by 20
Development of a peptide targeting dopamine transporter to improve ADHD-like deficits
Lai, T. K. Y., Su, P., Zhang, H., & Liu, F. (2018) · Molecular Brain · doi:10.1186/s13041-018-0409-0 · Cited by 20
Giacomo, V. D., Ruehle, S., Lutz, B., Häring, M., & Remmers, F. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108287 · Cited by 20
Li, M. S., Peng, Y., Jiang, J. H., Xue, H. X., Wang, P., Zhang, P. J., Han, R.-W., Chang, M., & Wang, R. (2015) · Peptides · doi:10.1016/j.peptides.2015.07.024 · Cited by 20
Abe, Y., Komaki, Y., Seki, F., Shibata, S., Okano, H., & Tanaka, K. F. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.02.017 · Cited by 20
Hormigo, S., Zhou, J. H., & Castro‐Alamancos, M. A. (2021) · eNeuro · doi:10.1523/eneuro.0165-21.2021 · Cited by 19
Delevich, K. M., Hoshal, B., Zhou, L. Z., Zhang, Y., Vedula, S. V., Lin, W. C., Chase, J. B., Collins, A. G. E., & Wilbrecht, L. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111129 · Cited by 19
Clinical neuroscience and neurotechnology: An amazing symbiosis
Cometa, A., Falasconi, A., Biasizzo, M., Carpaneto, J., Horn, A., Mazzoni, A., & Micera, S. (2022) · iScience · doi:10.1016/j.isci.2022.105124 · Cited by 21
Corticospinal Suppression Underlying Intact Movement Preparation Fades in Parkinson's Disease
Wilhelm, E., Quoilin, C., Derosière, G., Paço, S., Jeanjean, A. P., & Duqué, J. (2022) · Movement Disorders · doi:10.1002/mds.29214 · Cited by 19
Liu, J., Liu, D., Pu, X., Zou, K., Xie, T., Li, Y., & Yao, H. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-023-01073-2 · Cited by 21
Malgady, J. M., Baez, A., Hobel, Z. B., Jimenez, K., Goldfried, J., Prager, E. M., Wilking, J. A., Zhang, Q., Feng, G., & Plotkin, J. L. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113384 · Cited by 20
Lee, J. H. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00021 · Cited by 19
Deconstructing 5-HT6 receptor effects on striatal circuit function
Eskenazi, D., Brodsky, M., & Neumaier, J. F. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.04.046 · Cited by 19
Taylor, H., Schmiedt, J. T., Çarçak, N., Onat, F., Giovanni, G. D., Lambert, R. C., Leresche, N., Crunelli, V., & David, F. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.06.031 · Cited by 19
Chen, B. Y., Hui, J., Montgomery, K. S., Gella, A., Bolea, I., Sanz, E., Palmiter, R. D., & Quintana, A. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00265 · Cited by 19
Ren, Y., Shen, Y., Si, N., Fan, S., Zhang, Y., Xu, W., Shi, L., & Zhang, X. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.639935 · Cited by 21
Neural Networks and Neurofeedback in Parkinson’s Disease
Esmail, S., & Linden, D. E. J. (2014) · NeuroRegulation · doi:10.15540/nr.1.3-4.240 · Cited by 19
Dopamine receptor signaling in the forebrain
Savica, R., & Benarroch, E. E. (2014) · Neurology · doi:10.1212/wnl.0000000000000719 · Cited by 19
Cho, K. K. A., & Sohal, V. S. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu225 · Cited by 19
Gene Targeting in Neuroendocrinology
Candlish, M., Angelis, R. D., Götz, V., & Boehm, U. (2015) · Comprehensive physiology · doi:10.1002/cphy.c140079 · Cited by 20
Descending dopaminergic control of brainstem locomotor circuits
Fougère, M., Flaive, A., Frigon, A., & Ryczko, D. (2019) · Current Opinion in Physiology · doi:10.1016/j.cophys.2018.12.004 · Cited by 18
Dual Roles of Microglia in the Basal Ganglia in Parkinson’s Disease
Choudhury, M. E., Kigami, Y., & Tanaka, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22083907 · Cited by 18
Fluoxetine Potentiates Oral Methylphenidate-Induced Gene Regulation in the Rat Striatum
Moon, C., Marion, M., Thanos, P. K., & Steiner, H. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02466-y · Cited by 18
Supervised machine learning aided behavior classification in pigeons
Wittek, N., Wittek, K., Keibel, C., & Güntürkün, O. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01881-w · Cited by 18
Circuit-Specific Deep Brain Stimulation Provides Insights into Movement Control
Gittis, A. H., & Sillitoe, R. V. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092823-104810 · Cited by 18
Movement-related increases in subthalamic activity optimize locomotion
Callahan, J. W., Morales, J. C., Atherton, J. F., Wang, D. T., Kostic, S., & Bevan, M. D. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114495 · Cited by 18
Zold, C. L., Kasanetz, F., Pomata, P. E., Belluscio, M., Escande, M. V., Galiñanes, G. L., Riquelme, L. A., & Murer, M. G. (2011) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2011.06.002 · Cited by 18
Striatal dopamine modulates timing of self-initiated saccades
Kunimatsu, J., & Tanaka, M. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.09.006 · Cited by 18
Using model systems to understand errant plasticity mechanisms in psychiatric disorders
Averbeck, B. B., & Chafee, M. V. (2016) · Nature Neuroscience · doi:10.1038/nn.4413 · Cited by 18
Klaus, A., & Plenz, D. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002582 · Cited by 18
Illuminating Neural Circuits: From Molecules to MRI
Lee, J. H., Kreitzer, A. C., Singer, A. C., & Schiff, N. D. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2569-17.2017 · Cited by 18
Self-citationGarr, E., & Delamater, A. R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107169 · Cited by 18
Corticostriatal Plasticity Established by Initial Learning Persists after Behavioral Reversal
Ghosh, S., & Zador, A. M. (2021) · eNeuro · doi:10.1523/eneuro.0209-20.2021 · Cited by 18
Rauschenberger, L., Güttler, C., Volkmann, J., Kühn, A. A., Ip, C. W., & Lofredi, R. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114140 · Cited by 18
Single body parts are processed by individual neurons in the mouse dorsolateral striatum
Coffey, K. R., Nader, M., & West, M. O. (2016) · Brain Research · doi:10.1016/j.brainres.2016.01.031 · Cited by 18
Berthet, P., Lindahl, M., Tully, P. J., Kotaleski, J. H., & Lansner, A. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00053 · Cited by 19
Adenosine A1receptors measured with11C-MPDX PET in early Parkinson's disease
Mishina, M., Ishii, K., Kimura, Y., Suzuki, M., Kitamura, S., Ishibashi, K., Sakata, M., Oda, K., Kobayashi, S., Kimura, K., et al. (2017) · Synapse · doi:10.1002/syn.21979 · Cited by 21
Abnormal Effective Connectivity of the Anterior Forebrain Regions in Disorders of Consciousness
Chen, P., Xie, Q., Wu, X., Huang, H., Lv, W., Chen, L., Guo, Y., Zhang, S., Hu, H., Wang, Y., et al. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0250-6 · Cited by 19
Xie, C., Power, J., & Prasad, A. A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.848821 · Cited by 17
Sáez, M., Keifman, E., Alberquilla, S., Coll, C., Reig, R., Murer, M. G., & Moratalla, R. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106278 · Cited by 17
An ultra-compact promoter drives widespread neuronal expression in mouse and monkey brains
Wang, J., Lin, J., Chen, Y., Liu, J., Zheng, Q., Mao, D., Wang, R. L., Zhang, Y., Feng, S., Xu, Z., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113348 · Cited by 17
Miller, L. R., Bickel, M. A., Vance, M. L., Vaden, H., Nagykaldi, D., Nyúl‐Tóth, Á., Bullen, E. C., Gautam, T., Tarantini, S., Yabluchanskiy, A., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01090-7 · Cited by 17
Optogenetic and chemogenetic approaches for modeling neurological disorders in vivo
Krut’, V. G., Kalinichenko, A. L., Maltsev, D. I., Jappy, D., Shevchenko, E. K., Podgorny, O. V., & Belousov, V. V. (2024) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2024.102600 · Cited by 17
Giossi, C., Rubin, J. E., Gittis, A. H., Verstynen, T., & Vich, C. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16348 · Cited by 18
Tello, A. J., van der Zouwen, C. I., Dejas, L., Duque‐Yate, J., Boutin, J., Medina-Ortiz, K., Suresh, J. S., Swiegers, J., Sarret, P., & Ryczko, D. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114187 · Cited by 17
Shp‐2 knockdown prevents l ‐dopa‐induced dyskinesia in a rat model of Parkinson's disease
Fiorentini, C., Savoia, P., Savoldi, D., Bono, F., Busi, C., Barbon, A., & Missale, C. (2016) · Movement Disorders · doi:10.1002/mds.26581 · Cited by 17
CerebraLux: a low-cost, open-source, wireless probe for optogenetic stimulation
Dagnew, R., Lin, Y.-Y., Agatep, J., Cheng, M., Jann, A., Quach, V. Y., Monroe, M., Singh, G., Minasyan, A., Hakimian, J. K., et al. (2017) · Neurophotonics · doi:10.1117/1.nph.4.4.045001 · Cited by 17
The Striatal Skeleton: Medium Spiny Projection Neurons and Their Lateral Connections
Plenz, D., & Wickens, J. R. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00006-4 · Cited by 17
Mariani, L., Longueville, S., Girault, J., Hervé, D., & Gervasi, N. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104506 · Cited by 17
Tian, W., & Chen, S. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.616820 · Cited by 19
Mukherjee, D., Gonzales, B. J., Ashwal-Fluss, R., Turm, H., Groysman, M., & Citri, A. (2021) · eLife · doi:10.7554/elife.65228 · Cited by 17
He, Z., Jiang, Y., Gu, S., Wu, D., Qin, D., Feng, G., Ma, X., Huang, J. H., & Wang, F. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.713762 · Cited by 17
Callahan, J. W., Wokosin, D. L., & Bevan, M. D. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0782-21.2022 · Cited by 20
D1 / D5 Inverse Agonists Restore Striatal Cholinergic Interneuron Physiology in Dyskinetic Mice
Paz, R. M., Stahl, A. M., Rela, L., Murer, M. G., & Tubert, C. (2022) · Movement Disorders · doi:10.1002/mds.29055 · Cited by 17
Optogenetics: Novel Tools for Controlling Mammalian Cell Functions with Light
Kushibiki, T., Okawa, S., Hirasawa, T., & Ishihara, M. (2014) · International Journal of Photoenergy · doi:10.1155/2014/895039 · Cited by 17
Learning from positive and negative rewards in a spiking neural network model of basal ganglia
Jitsev, J., Morrison, A., & Tittgemeyer, M. (2012) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2012.6252834 · Cited by 17
Britt, J. P., McDevitt, R. A., & Reed, S. J. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s45896 · Cited by 17
Singh, A. P., Jenkins, M. A., Burke, K. J., Beck, G., Jenkins, A., Scimemi, A., Traynelis, S. F., & Papa, S. M. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.095 · Cited by 18
Bahuguna, J., Weidel, P., & Morrison, A. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14021 · Cited by 19
Oscillations in the basal ganglia in Parkinson's disease: Role of the striatum
Belluscio, M., Escande, M. V., Keifman, E., Riquelme, L. A., Murer, M. G., & Zold, C. L. (2013) · Basal Ganglia · doi:10.1016/j.baga.2013.11.003 · Cited by 17
Iskhakova, L., & Smith, Y. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1187-z · Cited by 17
Dopaminergic abnormalities in Hdac6-deficient mice
Fukada, M., Nakayama, A., Mamiya, T., Yao, T., & Kawaguchi, Y. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.08.018 · Cited by 17
Cross-species consensus atlas of the primate basal gangliaPreprint
Johansen, N., Fu, Y., Schmitz, M. T., Dubuc, A., Kempynck, N., Wirthlin, M. E., Garcia, A. D., Hewitt, M. N., Turner, M. A., Seeman, S. C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.15.694496 · Cited by 18
Distinct Roles of Dopamine Receptor Subtypes in the Nucleus Accumbens during Itch Signal Processing
Liang, T.-Y., Zhou, H., & Sun, Y.-G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0821-22.2022 · Cited by 16
Rethinking the network determinants of motor disability in Parkinson’s disease
Surmeier, D. J., Zhai, S., Cui, Q., & Simmons, D. V. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1186484 · Cited by 17
Selective Activation of Subthalamic Nucleus Output Quantitatively Scales Movements
Friedman, A. D., & Yin, H. H. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0734-23.2023 · Cited by 16
Neuronal encoding of behaviors and instrumental learning in the dorsal striatum
Varin, C., & d’Exaerde, A. D. K. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.11.003 · Cited by 18
Beste, C., Güntürkün, O., Baune, B. T., Domschke, K., Falkenstein, M., & Konrad, C. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.11.037 · Cited by 16
The Anatomy of the Basal Ganglia
Watkins, K. E., & Jenkinson, N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00008-0 · Cited by 16
Striatal GPR88 Modulates Foraging Efficiency
Rainwater, A., Sanz, E., Palmiter, R. D., & Quintana, A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2439-16.2017 · Cited by 17
Nguyen, D., Fugariu, V., Erb, S. M., & Ito, R. (2018) · Psychopharmacology · doi:10.1007/s00213-018-4919-3 · Cited by 16
Metadata
- Authors
- Kravitz, A. V., Freeze, B. S., Parker, P. R. L., Kay, K., Thwin, M. T., Deisseroth, K., & Kreitzer, A. C.
- Affiliations
- Gladstone Institutes (US)
- Stanford University (US)
- Corresponding author
- Kreitzer, Anatol C.
- ORCID
- Venue
- Nature
- Published
- 2010-07
- Volume
- 466
- Issue
- 7306
- Pages
- 622-626
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3552484
- OpenAlex
- W1971797700
- Cited by
- 1,885
- References
- 28
- Citations by year
- 2026: 76 · 2025: 110 · 2024: 138 · 2023: 110 · 2022: 96 · 2021: 120 · 2020: 118 · 2019: 119 · 2018: 137 · 2017: 133 · 2016: 128 · 2015: 138 · 2014: 133 · 2013: 112 · 2012: 100
- FWCI
- 62.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- W. M. Keck Foundation
- McKnight Foundation
- National Institutes of Health
- University of California, San Francisco
- National Institute of Neurological Disorders and Stroke (R01NS064984)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- basal ganglia, Parkinson's disease, direct pathway, indirect pathway, medium spiny neurons, striatum, optogenetics, channelrhodopsin-2, dopamine D1 receptor, dopamine D2 receptor, locomotion, bradykinesia, freezing behavior, motor control, functional connectivity, mouse model of Parkinson's disease, viral gene expression, Cre recombinase
- MeSH terms
- Channelrhodopsins, Animals, Basal Ganglia, Disease Models, Animal, Gait, Mice, Transgenic, Models, Neurological, Motor Activity, Neural Pathways, Neurons, Parkinson Disease, Psychomotor Performance, Receptors, Dopamine, Oxidopamine, Neostriatum, Hypokinesia, Integrases, Chromosomes, Artificial, Bacterial, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review