Pub Date : 2024-11-18DOI: 10.1038/s41593-024-01809-x
Karl Ulrich Bayer, Karl Peter Giese
The Ca2+/calmodulin (CaM)-dependent protein kinase II (CaMKII) plays a fundamental role in learning and possibly also in memory. However, current mechanistic models require fundamental revision. CaMKII autophosphorylation at Thr286 (pThr286) does not provide the molecular basis for long-term memory, as long believed. Instead, pThr286 mediates the signal processing required for induction of several distinct forms of synaptic plasticity, including Hebbian long-term potentiation and depression and non-Hebbian behavioral timescale synaptic plasticity. We discuss (i) the molecular computations by which CaMKII supports these diverse plasticity mechanisms, (ii) alternative CaMKII mechanisms that may contribute to the maintenance phase of LTP and (iii) the relationship of these mechanisms to behavioral learning and memory.
{"title":"A revised view of the role of CaMKII in learning and memory","authors":"Karl Ulrich Bayer, Karl Peter Giese","doi":"10.1038/s41593-024-01809-x","DOIUrl":"https://doi.org/10.1038/s41593-024-01809-x","url":null,"abstract":"<p>The Ca<sup>2+</sup>/calmodulin (CaM)-dependent protein kinase II (CaMKII) plays a fundamental role in learning and possibly also in memory. However, current mechanistic models require fundamental revision. CaMKII autophosphorylation at Thr286 (pThr286) does not provide the molecular basis for long-term memory, as long believed. Instead, pThr286 mediates the signal processing required for induction of several distinct forms of synaptic plasticity, including Hebbian long-term potentiation and depression and non-Hebbian behavioral timescale synaptic plasticity. We discuss (i) the molecular computations by which CaMKII supports these diverse plasticity mechanisms, (ii) alternative CaMKII mechanisms that may contribute to the maintenance phase of LTP and (iii) the relationship of these mechanisms to behavioral learning and memory.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"12 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1038/s41593-024-01821-1
Kuo-Sheng Lee, Alastair J. Loutit, Dominica de Thomas Wagner, Mark Sanders, Daniel Huber
Perceiving substrate-borne vibrations is a fundamental component of tactile perception. How location (somatotopy) and frequency tuning (tonotopy) of vibrations are integratively processed is poorly understood. Here we addressed this question using in vivo electrophysiology and two-photon calcium imaging along the dorsal column–medial lemniscal pathway. We found that both frequency and location are organized into structured maps in the dorsal column nuclei (DCN). Both maps are intimately related at the fine spatial scale, with parallel map gradients that are consistent across the depth of the DCN and preserved along the ascending pathway. The tonotopic map only partially reflects the distribution of end organs in the skin and deep tissue; instead, the emergence of the fine-scale tonotopy is due to the selective dendritic sampling from axonal afferents, already at the first synaptic relay. We conclude that DCN neural circuits are key to the emergence of these two fine-scale topographical organizations in early somatosensory pathways.
{"title":"Emergence of a brainstem somatosensory tonotopic map for substrate vibration","authors":"Kuo-Sheng Lee, Alastair J. Loutit, Dominica de Thomas Wagner, Mark Sanders, Daniel Huber","doi":"10.1038/s41593-024-01821-1","DOIUrl":"https://doi.org/10.1038/s41593-024-01821-1","url":null,"abstract":"<p>Perceiving substrate-borne vibrations is a fundamental component of tactile perception. How location (somatotopy) and frequency tuning (tonotopy) of vibrations are integratively processed is poorly understood. Here we addressed this question using in vivo electrophysiology and two-photon calcium imaging along the dorsal column–medial lemniscal pathway. We found that both frequency and location are organized into structured maps in the dorsal column nuclei (DCN). Both maps are intimately related at the fine spatial scale, with parallel map gradients that are consistent across the depth of the DCN and preserved along the ascending pathway. The tonotopic map only partially reflects the distribution of end organs in the skin and deep tissue; instead, the emergence of the fine-scale tonotopy is due to the selective dendritic sampling from axonal afferents, already at the first synaptic relay. We conclude that DCN neural circuits are key to the emergence of these two fine-scale topographical organizations in early somatosensory pathways.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"20 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1038/s41593-024-01782-5
John P. Andrews, Jinghui Geng, Kateryna Voitiuk, Matthew A. T. Elliott, David Shin, Ash Robbins, Alex Spaeth, Albert Wang, Lin Li, Daniel Solis, Matthew G. Keefe, Jessica L. Sevetson, Julio A. Rivera de Jesús, Kevin C. Donohue, H. Hanh Larson, Drew Ehrlich, Kurtis I. Auguste, Sofie Salama, Vikaas Sohal, Tal Sharf, David Haussler, Cathryn R. Cadwell, David V. Schaffer, Edward F. Chang, Mircea Teodorescu, Tomasz Jan Nowakowski
Seizures are made up of the coordinated activity of networks of neurons, suggesting that control of neurons in the pathologic circuits of epilepsy could allow for control of the disease. Optogenetics has been effective at stopping seizure-like activity in non-human disease models by increasing inhibitory tone or decreasing excitation, although this effect has not been shown in human brain tissue. Many of the genetic means for achieving channelrhodopsin expression in non-human models are not possible in humans, and vector-mediated methods are susceptible to species-specific tropism that may affect translational potential. Here we demonstrate adeno-associated virus–mediated, optogenetic reductions in network firing rates of human hippocampal slices recorded on high-density microelectrode arrays under several hyperactivity-provoking conditions. This platform can serve to bridge the gap between human and animal studies by exploring genetic interventions on network activity in human brain tissue.
{"title":"Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices","authors":"John P. Andrews, Jinghui Geng, Kateryna Voitiuk, Matthew A. T. Elliott, David Shin, Ash Robbins, Alex Spaeth, Albert Wang, Lin Li, Daniel Solis, Matthew G. Keefe, Jessica L. Sevetson, Julio A. Rivera de Jesús, Kevin C. Donohue, H. Hanh Larson, Drew Ehrlich, Kurtis I. Auguste, Sofie Salama, Vikaas Sohal, Tal Sharf, David Haussler, Cathryn R. Cadwell, David V. Schaffer, Edward F. Chang, Mircea Teodorescu, Tomasz Jan Nowakowski","doi":"10.1038/s41593-024-01782-5","DOIUrl":"https://doi.org/10.1038/s41593-024-01782-5","url":null,"abstract":"<p>Seizures are made up of the coordinated activity of networks of neurons, suggesting that control of neurons in the pathologic circuits of epilepsy could allow for control of the disease. Optogenetics has been effective at stopping seizure-like activity in non-human disease models by increasing inhibitory tone or decreasing excitation, although this effect has not been shown in human brain tissue. Many of the genetic means for achieving channelrhodopsin expression in non-human models are not possible in humans, and vector-mediated methods are susceptible to species-specific tropism that may affect translational potential. Here we demonstrate adeno-associated virus–mediated, optogenetic reductions in network firing rates of human hippocampal slices recorded on high-density microelectrode arrays under several hyperactivity-provoking conditions. This platform can serve to bridge the gap between human and animal studies by exploring genetic interventions on network activity in human brain tissue.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"38 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01Epub Date: 2023-05-10DOI: 10.1007/s12070-023-03822-1
Siti Sarah Che Mohd Razali, Maithrea Suresh Narayanan, Amran Mohamad, Ramiza Ramza Ramli
Nasal dermoid cyst is a rare benign lesion. The mainstay of treatment for a nasal dermoid cyst is surgical excision, which aims to remove the cyst and associated structures to prevent recurrence. We report a case of a 30-year-old man with nasal dermoid cyst, without intranasal or intracranial extension. The patient underwent open rhinoplasty technique for dermoid cyst excision. He had an uneventful postoperative recovery and was discharged well. The cyst and associated structure were successfully removed. There was no evidence of recurrence and complications postoperatively after 2 years of follow-up.
{"title":"Rhinoplasty Surgical Technique for Nasal Dermoid Cyst Removal in Adult: Case Report.","authors":"Siti Sarah Che Mohd Razali, Maithrea Suresh Narayanan, Amran Mohamad, Ramiza Ramza Ramli","doi":"10.1007/s12070-023-03822-1","DOIUrl":"10.1007/s12070-023-03822-1","url":null,"abstract":"<p><p>Nasal dermoid cyst is a rare benign lesion. The mainstay of treatment for a nasal dermoid cyst is surgical excision, which aims to remove the cyst and associated structures to prevent recurrence. We report a case of a 30-year-old man with nasal dermoid cyst, without intranasal or intracranial extension. The patient underwent open rhinoplasty technique for dermoid cyst excision. He had an uneventful postoperative recovery and was discharged well. The cyst and associated structure were successfully removed. There was no evidence of recurrence and complications postoperatively after 2 years of follow-up.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"10 1","pages":"3815-3817"},"PeriodicalIF":0.6,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80332658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1038/s41593-023-01480-8
Maxine R. Nelson, Peng Liu, Ayushi Agrawal, Oscar Yip, Jessica Blumenfeld, Michela Traglia, Min Joo Kim, Nicole Koutsodendris, Antara Rao, Brian Grone, Yanxia Hao, Seo Yeon Yoon, Qin Xu, Samuel De Leon, Tenzing Choenyi, Reuben Thomas, Francisco Lopera, Yakeel T. Quiroz, Joseph F. Arboleda-Velasquez, Eric M. Reiman, Robert W. Mahley, Yadong Huang
Apolipoprotein E4 (APOE4) is the strongest genetic risk factor for late-onset Alzheimer’s disease (LOAD), leading to earlier age of clinical onset and exacerbating pathologies. There is a critical need to identify protective targets. Recently, a rare APOE variant, APOE3-R136S (Christchurch), was found to protect against early-onset AD in a PSEN1-E280A carrier. In this study, we sought to determine if the R136S mutation also protects against APOE4-driven effects in LOAD. We generated tauopathy mouse and human iPSC-derived neuron models carrying human APOE4 with the homozygous or heterozygous R136S mutation. We found that the homozygous R136S mutation rescued APOE4-driven Tau pathology, neurodegeneration and neuroinflammation. The heterozygous R136S mutation partially protected against APOE4-driven neurodegeneration and neuroinflammation but not Tau pathology. Single-nucleus RNA sequencing revealed that the APOE4-R136S mutation increased disease-protective and diminished disease-associated cell populations in a gene dose-dependent manner. Thus, the APOE-R136S mutation protects against APOE4-driven AD pathologies, providing a target for therapeutic development against AD. Nelson et al. report that the APOE-R136S mutation protects against APOE4-promoted Alzheimer’s disease pathologies, including phosphorylated Tau accumulation, neuroinflammation and neurodegeneration, in mouse and human neuron models.
{"title":"The APOE-R136S mutation protects against APOE4-driven Tau pathology, neurodegeneration and neuroinflammation","authors":"Maxine R. Nelson, Peng Liu, Ayushi Agrawal, Oscar Yip, Jessica Blumenfeld, Michela Traglia, Min Joo Kim, Nicole Koutsodendris, Antara Rao, Brian Grone, Yanxia Hao, Seo Yeon Yoon, Qin Xu, Samuel De Leon, Tenzing Choenyi, Reuben Thomas, Francisco Lopera, Yakeel T. Quiroz, Joseph F. Arboleda-Velasquez, Eric M. Reiman, Robert W. Mahley, Yadong Huang","doi":"10.1038/s41593-023-01480-8","DOIUrl":"10.1038/s41593-023-01480-8","url":null,"abstract":"Apolipoprotein E4 (APOE4) is the strongest genetic risk factor for late-onset Alzheimer’s disease (LOAD), leading to earlier age of clinical onset and exacerbating pathologies. There is a critical need to identify protective targets. Recently, a rare APOE variant, APOE3-R136S (Christchurch), was found to protect against early-onset AD in a PSEN1-E280A carrier. In this study, we sought to determine if the R136S mutation also protects against APOE4-driven effects in LOAD. We generated tauopathy mouse and human iPSC-derived neuron models carrying human APOE4 with the homozygous or heterozygous R136S mutation. We found that the homozygous R136S mutation rescued APOE4-driven Tau pathology, neurodegeneration and neuroinflammation. The heterozygous R136S mutation partially protected against APOE4-driven neurodegeneration and neuroinflammation but not Tau pathology. Single-nucleus RNA sequencing revealed that the APOE4-R136S mutation increased disease-protective and diminished disease-associated cell populations in a gene dose-dependent manner. Thus, the APOE-R136S mutation protects against APOE4-driven AD pathologies, providing a target for therapeutic development against AD. Nelson et al. report that the APOE-R136S mutation protects against APOE4-promoted Alzheimer’s disease pathologies, including phosphorylated Tau accumulation, neuroinflammation and neurodegeneration, in mouse and human neuron models.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"26 12","pages":"2104-2121"},"PeriodicalIF":25.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The meta-reinforcement learning (meta-RL) framework, which involves RL over multiple timescales, has been successful in training deep RL models that generalize to new environments. It has been hypothesized that the prefrontal cortex may mediate meta-RL in the brain, but the evidence is scarce. Here we show that the orbitofrontal cortex (OFC) mediates meta-RL. We trained mice and deep RL models on a probabilistic reversal learning task across sessions during which they improved their trial-by-trial RL policy through meta-learning. Ca2+/calmodulin-dependent protein kinase II-dependent synaptic plasticity in OFC was necessary for this meta-learning but not for the within-session trial-by-trial RL in experts. After meta-learning, OFC activity robustly encoded value signals, and OFC inactivation impaired the RL behaviors. Longitudinal tracking of OFC activity revealed that meta-learning gradually shapes population value coding to guide the ongoing behavioral policy. Our results indicate that two distinct RL algorithms with distinct neural mechanisms and timescales coexist in OFC to support adaptive decision-making. The authors show that neural activity and synaptic plasticity in the orbitofrontal cortex mediate multiple timescales of reinforcement learning (RL) for meta-RL, which parallels a form of meta-RL in artificial intelligence.
{"title":"Meta-reinforcement learning via orbitofrontal cortex","authors":"Ryoma Hattori, Nathan G. Hedrick, Anant Jain, Shuqi Chen, Hanjia You, Mariko Hattori, Jun-Hyeok Choi, Byung Kook Lim, Ryohei Yasuda, Takaki Komiyama","doi":"10.1038/s41593-023-01485-3","DOIUrl":"10.1038/s41593-023-01485-3","url":null,"abstract":"The meta-reinforcement learning (meta-RL) framework, which involves RL over multiple timescales, has been successful in training deep RL models that generalize to new environments. It has been hypothesized that the prefrontal cortex may mediate meta-RL in the brain, but the evidence is scarce. Here we show that the orbitofrontal cortex (OFC) mediates meta-RL. We trained mice and deep RL models on a probabilistic reversal learning task across sessions during which they improved their trial-by-trial RL policy through meta-learning. Ca2+/calmodulin-dependent protein kinase II-dependent synaptic plasticity in OFC was necessary for this meta-learning but not for the within-session trial-by-trial RL in experts. After meta-learning, OFC activity robustly encoded value signals, and OFC inactivation impaired the RL behaviors. Longitudinal tracking of OFC activity revealed that meta-learning gradually shapes population value coding to guide the ongoing behavioral policy. Our results indicate that two distinct RL algorithms with distinct neural mechanisms and timescales coexist in OFC to support adaptive decision-making. The authors show that neural activity and synaptic plasticity in the orbitofrontal cortex mediate multiple timescales of reinforcement learning (RL) for meta-RL, which parallels a form of meta-RL in artificial intelligence.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"26 12","pages":"2182-2191"},"PeriodicalIF":25.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689244/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1038/s41593-023-01482-6
Nilufer Sayar-Atasoy, Iltan Aklan, Yavuz Yavuz, Connor Laule, Hyojin Kim, Jacob Rysted, Muhammed Ikbal Alp, Debbie Davis, Bayram Yilmaz, Deniz Atasoy
Food intake follows a predictable daily pattern and synchronizes metabolic rhythms. Neurons expressing agouti-related protein (AgRP) read out physiological energetic state and elicit feeding, but the regulation of these neurons across daily timescales is poorly understood. Using a combination of neuron dynamics measurements and timed optogenetic activation in mice, we show that daily AgRP-neuron activity was not fully consistent with existing models of homeostatic regulation. Instead of operating as a ‘deprivation counter’, AgRP-neuron activity primarily followed the circadian rest–activity cycle through a process that required an intact suprachiasmatic nucleus and synchronization by light. Imposing novel feeding patterns through time-restricted food access or periodic AgRP-neuron stimulation was sufficient to resynchronize the daily AgRP-neuron activity rhythm and drive anticipatory-like behavior through a process that required DMHPDYN neurons. These results indicate that AgRP neurons integrate time-of-day information of past feeding experience with current metabolic needs to predict circadian feeding time. Sayar-Atasoy et al. monitored the activity of hypothalamic AgRP hunger neurons throughout the day and showed that these neurons anticipate meal time by integrating information about past circadian feeding experience with ongoing metabolic needs.
{"title":"AgRP neurons encode circadian feeding time","authors":"Nilufer Sayar-Atasoy, Iltan Aklan, Yavuz Yavuz, Connor Laule, Hyojin Kim, Jacob Rysted, Muhammed Ikbal Alp, Debbie Davis, Bayram Yilmaz, Deniz Atasoy","doi":"10.1038/s41593-023-01482-6","DOIUrl":"10.1038/s41593-023-01482-6","url":null,"abstract":"Food intake follows a predictable daily pattern and synchronizes metabolic rhythms. Neurons expressing agouti-related protein (AgRP) read out physiological energetic state and elicit feeding, but the regulation of these neurons across daily timescales is poorly understood. Using a combination of neuron dynamics measurements and timed optogenetic activation in mice, we show that daily AgRP-neuron activity was not fully consistent with existing models of homeostatic regulation. Instead of operating as a ‘deprivation counter’, AgRP-neuron activity primarily followed the circadian rest–activity cycle through a process that required an intact suprachiasmatic nucleus and synchronization by light. Imposing novel feeding patterns through time-restricted food access or periodic AgRP-neuron stimulation was sufficient to resynchronize the daily AgRP-neuron activity rhythm and drive anticipatory-like behavior through a process that required DMHPDYN neurons. These results indicate that AgRP neurons integrate time-of-day information of past feeding experience with current metabolic needs to predict circadian feeding time. Sayar-Atasoy et al. monitored the activity of hypothalamic AgRP hunger neurons throughout the day and showed that these neurons anticipate meal time by integrating information about past circadian feeding experience with ongoing metabolic needs.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"27 1","pages":"102-115"},"PeriodicalIF":25.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1038/s41593-023-01488-0
Samuel D. Gale, Chelsea Strawder, Corbett Bennett, Stefan Mihalas, Christof Koch, Shawn R. Olsen
Visual masking can reveal the timescale of perception, but the underlying circuit mechanisms are not understood. Here we describe a backward masking task in mice and humans in which the location of a stimulus is potently masked. Humans report reduced subjective visibility that tracks behavioral deficits. In mice, both masking and optogenetic silencing of visual cortex (V1) reduce performance over a similar timecourse but have distinct effects on response rates and accuracy. Activity in V1 is consistent with masked behavior when quantified over long, but not short, time windows. A dual accumulator model recapitulates both mouse and human behavior. The model and subjects’ performance imply that the initial spikes in V1 can trigger a correct response, but subsequent V1 activity degrades performance. Supporting this hypothesis, optogenetically suppressing mask-evoked activity in V1 fully restores accurate behavior. Together, these results demonstrate that mice, like humans, are susceptible to masking and that target and mask information is first confounded downstream of V1. The authors introduce a novel visual masking task and use recordings and optogenetics to reveal the role of visual cortex.
{"title":"Backward masking in mice requires visual cortex","authors":"Samuel D. Gale, Chelsea Strawder, Corbett Bennett, Stefan Mihalas, Christof Koch, Shawn R. Olsen","doi":"10.1038/s41593-023-01488-0","DOIUrl":"10.1038/s41593-023-01488-0","url":null,"abstract":"Visual masking can reveal the timescale of perception, but the underlying circuit mechanisms are not understood. Here we describe a backward masking task in mice and humans in which the location of a stimulus is potently masked. Humans report reduced subjective visibility that tracks behavioral deficits. In mice, both masking and optogenetic silencing of visual cortex (V1) reduce performance over a similar timecourse but have distinct effects on response rates and accuracy. Activity in V1 is consistent with masked behavior when quantified over long, but not short, time windows. A dual accumulator model recapitulates both mouse and human behavior. The model and subjects’ performance imply that the initial spikes in V1 can trigger a correct response, but subsequent V1 activity degrades performance. Supporting this hypothesis, optogenetically suppressing mask-evoked activity in V1 fully restores accurate behavior. Together, these results demonstrate that mice, like humans, are susceptible to masking and that target and mask information is first confounded downstream of V1. The authors introduce a novel visual masking task and use recordings and optogenetics to reveal the role of visual cortex.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"27 1","pages":"129-136"},"PeriodicalIF":25.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1038/s41593-023-01517-y
Ines R. Violante, Ketevan Alania, Antonino M. Cassarà, Esra Neufeld, Emma Acerbo, Romain Carron, Adam Williamson, Danielle L. Kurtin, Edward Rhodes, Adam Hampshire, Niels Kuster, Edward S. Boyden, Alvaro Pascual-Leone, Nir Grossman
{"title":"Publisher Correction: Non-invasive temporal interference electrical stimulation of the human hippocampus","authors":"Ines R. Violante, Ketevan Alania, Antonino M. Cassarà, Esra Neufeld, Emma Acerbo, Romain Carron, Adam Williamson, Danielle L. Kurtin, Edward Rhodes, Adam Hampshire, Niels Kuster, Edward S. Boyden, Alvaro Pascual-Leone, Nir Grossman","doi":"10.1038/s41593-023-01517-y","DOIUrl":"10.1038/s41593-023-01517-y","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"26 12","pages":"2252-2252"},"PeriodicalIF":25.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.1038/s41593-023-01516-z
J. A. Ricard, T. C. Parker, E. Dhamala, J. Kwasa, A. Allsop, A. J. Holmes
{"title":"Author Correction: Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data","authors":"J. A. Ricard, T. C. Parker, E. Dhamala, J. Kwasa, A. Allsop, A. J. Holmes","doi":"10.1038/s41593-023-01516-z","DOIUrl":"10.1038/s41593-023-01516-z","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"26 12","pages":"2251-2251"},"PeriodicalIF":25.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41593-023-01516-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72014897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}