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Filchenko I, Eberhard-Moscicka AK, Picard JL, Schmidt MH, Aktan Süzgün M, Wiest R, Bernasconi C, Gutierrez Herrera C, Bassetti CLA. Thalamic Stroke and Sleep Study: Sleep-Wake, Autonomic Regulation, and Cognition. Stroke 2025; 56:1528-1541. [PMID: 40135332 DOI: 10.1161/strokeaha.124.049156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 01/17/2025] [Accepted: 02/13/2025] [Indexed: 03/27/2025]
Abstract
BACKGROUND Thalamic stroke (TS) often presents with complex clinical manifestations, including sleep-wake disturbances, cognitive deficits, and autonomic dysregulation, yet the interaction between these functional alterations remains poorly understood. We aimed to investigate these interactions in a case-control lesion study. METHODS Patients with acute TS and no-stroke controls were included prospectively in this study. The data were collected from June 2020 to September 2022 at the stroke unit or sleep laboratory of the Inselspital (Bern). Sleep-wake variables (questionnaires, actigraphy, polysomnography including electroencephalography-based sleep macroarchitecture and microarchitecture, and analysis of electroencephalography spectral power), nocturnal heart rate variability, and cognition (5 tests: processing speed, attention, working memory, visual memory, and verbal memory) were assessed at study inclusion (within 5 days poststroke for patients with stroke). RESULTS Data from 16 patients with TS and 32 control volunteers were analyzed. All patients with stroke had lesions of the ventral nuclei, while 9 of 16 patients with stroke also had lesions in the mediodorsal nucleus (1 bilateral). TS was characterized by long sleep duration and high nocturnal heart rate variability with parasympathetic dominance. The alterations in sleep electroencephalography included a decrease in cyclic alternating pattern index, slow spindle density, the quantity of isolated sawtooth wave segments, and electroencephalography spectral power predominantly affecting the alpha band. The mediodorsal lesions were associated with a decrease in sleep spindle amplitude and slow wave amplitude and with an increase in phasic rapid eye movement sleep. Furthermore, patients with TS had deficits in processing speed, working memory, and verbal memory, mostly pronounced in patients with mediodorsal lesions. In a combined data set, multiple correlations were observed between sleep-wake, autonomic, and cognitive parameters, many of which depended on the presence of a TS. CONCLUSIONS These findings emphasize the role of the thalamus in the regulation of sleep-wake, autonomic, and cognitive functions and their interactions and provide the theoretical basis for the therapies targeting the thalamus.
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Affiliation(s)
- Irina Filchenko
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Graduate School for Health Sciences (I.F.), University of Bern, Switzerland
| | - Aleksandra Katarzyna Eberhard-Moscicka
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Department of Psychology (A.K.E.-M.), University of Bern, Switzerland
| | - Jasmine Lea Picard
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
| | - Markus Helmut Schmidt
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
| | - Merve Aktan Süzgün
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Center for Sleep Medicine, Department of Neurology, Medical University of Innsbruck, Austria (M.A.S.)
| | - Roland Wiest
- Department of Neuroradiology (R.W.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
| | - Corrado Bernasconi
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
| | - Carolina Gutierrez Herrera
- Center of Experimental Neurology (C.G.H.), Bern University Hospital, University of Bern, Switzerland
- Department of Biomedical Research (C.G.H.), Bern University Hospital, University of Bern, Switzerland
| | - Claudio Lino Alberto Bassetti
- Department of Neurology (I.F., A.K.E.-M., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy Center (I.F., J.L.P., M.H.S., M.A.S., C.B., C.L.A.B.), Bern University Hospital (Inselspital) and University of Bern, Switzerland
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Khalaf A, Lopez E, Li J, Horn A, Edlow BL, Blumenfeld H. Shared subcortical arousal systems across sensory modalities during transient modulation of attention. Neuroimage 2025; 312:121224. [PMID: 40250641 DOI: 10.1016/j.neuroimage.2025.121224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 04/15/2025] [Accepted: 04/15/2025] [Indexed: 04/20/2025] Open
Abstract
Subcortical arousal systems are known to play a key role in controlling sustained changes in attention and conscious awareness. Recent studies indicate that these systems have a major influence on short-term dynamic modulation of visual attention, but their role across sensory modalities is not fully understood. In this study, we investigated shared subcortical arousal systems across sensory modalities during transient changes in attention using block and event-related fMRI paradigms. We analyzed massive publicly available fMRI datasets collected while 1561 participants performed visual, auditory, tactile, and taste perception tasks. Our analyses revealed a shared circuit of subcortical arousal systems exhibiting early transient increases in activity in midbrain reticular formation and central thalamus across perceptual modalities, as well as less consistent increases in pons, hypothalamus, basal forebrain, and basal ganglia. Identifying these networks is critical for understanding mechanisms of normal attention and consciousness and may help facilitate subcortical targeting for therapeutic neuromodulation.
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Affiliation(s)
- Aya Khalaf
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Erick Lopez
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Jian Li
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Andreas Horn
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Center for Brain Circuit Therapeutics, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Movement Disorders & Neuromodulation Section, Department of Neurology, Charité - Universitätsmedizin, Berlin, Germany
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.
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Liu X, Lai J, Han C, Zhong H, Huang K, Liu Y, Zhu X, Wei P, Tan L, Xu F, Wang L. Neural circuit underlying individual differences in visual escape habituation. Neuron 2025:S0896-6273(25)00301-0. [PMID: 40347942 DOI: 10.1016/j.neuron.2025.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 02/28/2025] [Accepted: 04/18/2025] [Indexed: 05/14/2025]
Abstract
Emotions like fear help organisms respond to threats. Repeated predator exposure leads to adaptive responses with unclear neural mechanisms behind individual variability. We identify two escape behaviors in mice-persistent escape (T1) and rapid habituation (T2)-linked to unique arousal states under repetitive looming stimuli. Combining multichannel recording, circuit mapping, optogenetics, and behavioral analyses, we find parallel pathways from the superior colliculus (SC) to the basolateral amygdala (BLA) via the ventral tegmental area (VTA) for T1 and via the mediodorsal thalamus (MD) for T2. T1 involves heightened arousal, while T2 features rapid habituation. The MD integrates SC and insular cortex inputs to modulate arousal and defensive behaviors. This work reveals neural circuits underpinning adaptive threat responses and individual variability.
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Affiliation(s)
- Xuemei Liu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 10049, China; Shenzhen Key Lab of Neuropsychiatric Modulation, Chinese Academy of Sciences, Shenzhen, Gudangdong 518055, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Juan Lai
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chuanliang Han
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hao Zhong
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Kang Huang
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuanming Liu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xutao Zhu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Pengfei Wei
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 10049, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Liming Tan
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 10049, China; Shenzhen Key Lab of Neuropsychiatric Modulation, Chinese Academy of Sciences, Shenzhen, Gudangdong 518055, China
| | - Fuqiang Xu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 10049, China
| | - Liping Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 10049, China; Shenzhen Key Lab of Neuropsychiatric Modulation, Chinese Academy of Sciences, Shenzhen, Gudangdong 518055, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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4
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Odegaard KE, Bouaichi CG, Owanga G, Vincis R. Neural Processing of Taste-Related Signals in the Mediodorsal Thalamus of Mice. J Neurosci 2025; 45:e1500242025. [PMID: 40139805 PMCID: PMC12044043 DOI: 10.1523/jneurosci.1500-24.2025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 03/11/2025] [Accepted: 03/18/2025] [Indexed: 03/29/2025] Open
Abstract
Our consummatory decisions depend on the taste of food and the reward experienced while eating, which are processed through neural computations in interconnected brain areas. Although many gustatory regions of rodents have been explored, the mediodorsal nucleus of the thalamus (MD) remains understudied. The MD, a multimodal brain area connected with gustatory centers, is often studied for its role in processing associative and cognitive information and has been shown to represent intraorally delivered chemosensory stimuli after strong retronasal odor-taste associations. Key questions remain about whether MD neurons can process taste quality independently of odor-taste associations and how they represent extraoral signals predicting rewarding and aversive gustatory outcomes. Here, using C57 male and female mice we present electrophysiological evidence demonstrating how MD neurons represent and encode 1) the identity and concentrations of basic taste qualities during active licking, and 2) auditory signals anticipating rewarding and aversive taste outcomes. Our data reveal that MD neurons can reliably and dynamically encode taste identity in a broadly tuned manner and taste concentrations with spiking activity positively and negatively correlated with stimulus intensity. Our data also show that MD can represent information related to predictive cues and their associated outcomes, regardless of whether the cue predicts a rewarding or aversive outcome. In summary, our findings suggest that the mediodorsal thalamus is integral to the taste pathway, as it can encode sensory-discriminative dimensions of tastants and participate in processing associative information essential for ingestive behaviors.Significance Statement Dietary decisions are driven by the taste of the food and the reward experienced while eating. This information is processed through neural computations across interconnected brain areas. Given its neural connections, the mediodorsal thalamus (MD) could be part of this network. However, its involvement in gustatory processing is largely ignored. This study examines how MD neurons respond to taste quality, intensity, and expectation by analyzing the electrical activity of MD neurons in mice allowed to freely lick a spout to obtain different tastes. Our findings support the idea that the MD is part of the brain network responsible for processing sensory and associative information relevant to eating.
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Affiliation(s)
- Katherine E. Odegaard
- Department of Biological Science and Program in Neuroscience, Florida State University, Tallahassee, Florida 32306
| | - Cecilia G. Bouaichi
- Department of Biological Science and Program in Neuroscience, Florida State University, Tallahassee, Florida 32306
| | - Greg Owanga
- Department of Mathematics, Florida State University, Tallahassee, Florida 32306
| | - Roberto Vincis
- Department of Biological Science, Programs in Neuroscience, Molecular Biophysics and Cell and Molecular Biology, Florida State University, Tallahassee, Florida 32306
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5
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Yu H, Wang J, Pang R, Chen P, Luo T, Zhang X, Liao Y, Hu C, Gu M, Luo B, Shi Z, Li M, Zhang Y, Wei Q, Yuan W, Xie H, Chen Z, Liu H, Ren S, Chen X, Zhou Y. Temporal Association Cortex Gates Sound-Evoked Arousal from NREM Sleep. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2414271. [PMID: 39887927 PMCID: PMC11948000 DOI: 10.1002/advs.202414271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 12/27/2024] [Indexed: 02/01/2025]
Abstract
Sound-evoked wakefulness from sleep is crucial in daily life, yet its neural mechanisms remain poorly understood. It is found that CaMKIIα+ neurons in the temporal association cortex (TeA) of mice are not essential for natural awakening from sleep. However, optogenetic activation of these neurons reliably induces wakefulness from non-rapid eye movement (NREM) sleep but not from rapid eye movement (REM) sleep. In vivo electrophysiological and calcium recordings further demonstrated that TeA neurons are monotonically tuned to sound intensity but not frequency. More importantly, it is found that the activity of CaMKIIα+ neurons in TeA can gate sound-evoked arousal from NREM sleep, which is further confirmed by optogenetic manipulations. Further investigation reveals that the baseline excitability of TeA CaMKIIα+ neurons and the delta oscillations in the electroencephalogram are particularly important in regulating the evoked activity of TeA neurons. Anatomical and functional screening of downstream targets of TeA reveals that excitatory projections from TeA glutamatergic neurons to glutamatergic neurons in the basolateral/lateral amygdala are critical for modulating sound-evoked arousal from NREM sleep. These findings uncover a top-down regulatory circuit that selectively governs sound-evoked arousal from NREM sleep, with the TeA functioning as a key connecting cortex to subcortical regions.
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Affiliation(s)
- Haipeng Yu
- Advanced Institute for Brain and IntelligenceSchool of Physical Science and TechnologyGuangxi UniversityNanning530004China
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Jincheng Wang
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Ruiqi Pang
- Guangxi Key Laboratory of Special BiomedicineSchool of MedicineGuangxi UniversityNanning530004China
| | - Penghui Chen
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Tiantian Luo
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Xuan Zhang
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Yatao Liao
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Chao Hu
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Miaoqing Gu
- Advanced Institute for Brain and IntelligenceSchool of Physical Science and TechnologyGuangxi UniversityNanning530004China
| | - Bingmin Luo
- Department of NeurosciencesCase Western Reserve University School of MedicineClevelandOH44106USA
| | - Zhiyue Shi
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Mengyao Li
- Guangxi Key Laboratory of Special BiomedicineSchool of MedicineGuangxi UniversityNanning530004China
| | - Yueting Zhang
- Guangxi Key Laboratory of Special BiomedicineSchool of MedicineGuangxi UniversityNanning530004China
| | - Qiaoqian Wei
- Guangxi Key Laboratory of Special BiomedicineSchool of MedicineGuangxi UniversityNanning530004China
| | - Wei Yuan
- Department of OtolaryngologyChongqing General HospitalChongqing UniversityChongqing400038China
| | - Hui Xie
- School of Architecture and Urban PlanningChongqing UniversityChongqing400044China
| | - Zhiyi Chen
- Experimental Research Center for Medical and Psychological ScienceSchool of PsychologyArmy Medical UniversityChongqing400038China
| | - Hongbang Liu
- Advanced Institute for Brain and IntelligenceSchool of Physical Science and TechnologyGuangxi UniversityNanning530004China
| | - Shuancheng Ren
- Department of PhysiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Xiaowei Chen
- Brain Research Center and State Key Laboratory of Trauma and Chemical PoisoningCollege of Basic MedicineArmy Medical UniversityChongqing400038China
| | - Yi Zhou
- Department of NeurobiologyCollege of Basic MedicineArmy Medical UniversityChongqing400038China
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Martin JC, Reeves KC, Carter KA, Davis M, Schneider A, Meade E, Lebonville CL, Nimitvilai S, Hoffman M, Woodward JJ, Mulholland PJ, Rinker JA. Genetic and functional adaptations and alcohol-biased signaling in the mediodorsal thalamus of alcohol dependent mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.28.620696. [PMID: 39553931 PMCID: PMC11565778 DOI: 10.1101/2024.10.28.620696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2024]
Abstract
Alcohol Use Disorder (AUD) is a significant health concern characterized by an individual's inability to control alcohol intake. With alcohol misuse increasing and abstinence rates declining, leading to severe social and health consequences, it is crucial to uncover effective treatment strategies for AUD by focusing on understanding neuroadaptations and cellular mechanisms. The mediodorsal thalamus (MD) is a brain region essential for cognitive functioning and reward-guided choices. However, the effects of alcohol (ethanol) dependence on MD neuroadaptations and how dependence alters MD activity during choice behaviors for alcohol and a natural reward (sucrose) are not well understood. Adult C57BL/6J mice treated with chronic intermittent ethanol (CIE) exposure were used to assess genetic and functional adaptations in the MD. Fiber photometry-based recordings of GCaMP6f expressed in the MD of C57BL/6J mice were acquired to investigate in vivo neural adaptations during choice drinking sessions for alcohol (15%) and either water or sucrose (3%). There were time-dependent changes in cFos and transcript expression during acute withdrawal and early abstinence. Differentially expressed genes were identified in control mice across different circadian time points and when comparing control and alcohol dependent mice. Gene Ontology enrichment analysis of the alcohol-sensitive genes revealed disruption of genes that control glial function, axonal myelination, and protein binding. CIE exposure also increased evoked firing in MD cells at 72 hours of withdrawal. In alcohol-dependent male and female mice that show increased alcohol drinking and preference for alcohol over water, we observed an increase in alcohol intake and preference for alcohol when mice were given a choice between alcohol and sucrose. Fiber photometry recordings demonstrated that MD activity is elevated during and after licking bouts for alcohol, water, and sucrose, and the signal for alcohol is significantly higher than that for water or sucrose during drinking. The elevated signal during alcohol bouts persisted in alcohol dependent mice. These findings demonstrate that CIE causes genetic and functional neuroadaptations in the MD and that alcohol dependence enhances alcohol-biased behaviors, with the MD uniquely responsive to alcohol, even in dependent mice.
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Wei J, Xiao C, Zhang GW, Shen L, Tao HW, Zhang LI. A distributed auditory network mediated by pontine central gray underlies ultra-fast awakening in response to alerting sounds. Curr Biol 2024; 34:4597-4611.e5. [PMID: 39265569 PMCID: PMC11521200 DOI: 10.1016/j.cub.2024.08.020] [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: 03/11/2024] [Revised: 07/12/2024] [Accepted: 08/13/2024] [Indexed: 09/14/2024]
Abstract
Sleeping animals can be woken up rapidly by external threat signals, which is an essential defense mechanism for survival. However, neuronal circuits underlying the fast transmission of sensory signals for this process remain unclear. Here, we report in mice that alerting sound can induce rapid awakening within hundreds of milliseconds and that glutamatergic neurons in the pontine central gray (PCG) play an important role in this process. These neurons exhibit higher sensitivity to auditory stimuli in sleep than wakefulness. Suppressing these neurons results in reduced sound-induced awakening and increased sleep in intrinsic sleep/wake cycles, whereas their activation induces ultra-fast awakening from sleep and accelerates awakening from anesthesia. Additionally, the sound-induced awakening can be attributed to the propagation of auditory signals from the PCG to multiple arousal-related regions, including the mediodorsal thalamus, lateral hypothalamus, and ventral tegmental area. Thus, the PCG serves as an essential distribution center to orchestrate a global auditory network to promote rapid awakening.
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Affiliation(s)
- Jinxing Wei
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Cuiyu Xiao
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Guang-Wei Zhang
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Li Shen
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Huizhong W Tao
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Li I Zhang
- Zilkha Neurogenetic Institute, Center for Neural Circuits and Sensory Processing Disorders, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
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8
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Polley DB, Chambers AR. Auditory circuits: Watchmen of the sleeping brain. Curr Biol 2024; 34:R924-R926. [PMID: 39437729 DOI: 10.1016/j.cub.2024.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
A new study shows that glutamatergic neurons of the pontine central gray (PCG) play a key role in mediating rapid sound-induced awakenings from sleep by relaying short-latency auditory information to multiple arousal centers in the brain.
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Affiliation(s)
- Daniel B Polley
- Eaton-Peabody Laboratories, Mass Eye and Ear, Boston, MA 02114, USA; Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, MA 02114, USA.
| | - Anna R Chambers
- Eaton-Peabody Laboratories, Mass Eye and Ear, Boston, MA 02114, USA; Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, MA 02114, USA
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Khalaf A, Lopez E, Li J, Horn A, Edlow BL, Blumenfeld H. Shared subcortical arousal systems across sensory modalities during transient modulation of attention. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.16.613316. [PMID: 39345640 PMCID: PMC11429725 DOI: 10.1101/2024.09.16.613316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Subcortical arousal systems are known to play a key role in controlling sustained changes in attention and conscious awareness. Recent studies indicate that these systems have a major influence on short-term dynamic modulation of visual attention, but their role across sensory modalities is not fully understood. In this study, we investigated shared subcortical arousal systems across sensory modalities during transient changes in attention using block and event-related fMRI paradigms. We analyzed massive publicly available fMRI datasets collected while 1,561 participants performed visual, auditory, tactile, and taste perception tasks. Our analyses revealed a shared circuit of subcortical arousal systems exhibiting early transient increases in activity in midbrain reticular formation and central thalamus across perceptual modalities, as well as less consistent increases in pons, hypothalamus, basal forebrain, and basal ganglia. Identifying these networks is critical for understanding mechanisms of normal attention and consciousness and may help facilitate subcortical targeting for therapeutic neuromodulation.
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Affiliation(s)
- Aya Khalaf
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Erick Lopez
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Jian Li
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Andreas Horn
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Movement Disorders & Neuromodulation Section, Department of Neurology, Charité – Universitätsmedizin, Berlin, Germany
| | - Brian L. Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
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Park G, Park Y, Yang S, Cho Y, Serikov A, Jung D, Seo DC, Lee SE, Nam MH, Kim D, Kim J. Neurotensin-specific corticothalamic circuit regulates innate response conflict. Curr Biol 2024; 34:3473-3487.e6. [PMID: 39067450 DOI: 10.1016/j.cub.2024.06.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/22/2024] [Accepted: 06/26/2024] [Indexed: 07/30/2024]
Abstract
Animals must simultaneously select and balance multiple action contingencies in ambiguous situations: for instance, evading danger during feeding. This has rarely been examined in the context of information selection; despite corticothalamic pathways that mediate sensory attention being relatively well characterized, neural mechanisms filtering conflicting actions remain unclear. Here, we develop a new loom/feed test to observe conflict between naturally induced fear and feeding and identify a novel anterior cingulate cortex (ACC) output to the ventral anterior and ventral lateral thalamus (VA/VL) that adjusts selectivity between these innate actions. Using micro-endoscopy and fiber photometry, we reveal that activity in corticofugal outputs was lowered during unbalanced/singularly occupied periods, as were the resulting decreased thalamic initiation-related signals for less-favored actions, suggesting that the integration of ACC-thalamic firing may directly regulate the output of behavior choices. Accordingly, the optoinhibition of ACC-VA/VL circuits induced high bias toward feeding at the expense of defense. To identify upstream "commander" cortical cells gating this output, we established dual-order tracing (DOT)-translating ribosome affinity purification (TRAP)-a scheme to label upstream neurons with transcriptome analysis-and found a novel population of neurotensin-positive interneurons (ACCNts). The photoexcitation of ACCNts cells indeed caused similarly hyper-selective behaviors. Collectively, this new "corticofugal action filter" scheme suggests that communication in multi-step cingulate circuits may critically influence the summation of motor signals in thalamic outputs, regulating bias between innate action types.
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Affiliation(s)
- Geunhong Park
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Yongjun Park
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea
| | - Seulkee Yang
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Yoonjeong Cho
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Almas Serikov
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea
| | - Dajung Jung
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Dong-Chan Seo
- Research Animal Resources Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Seung Eun Lee
- Research Animal Resources Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Min-Ho Nam
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea
| | - Daesoo Kim
- Department of Brain and Cognitive Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Jeongjin Kim
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea.
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11
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Serikov A, Martsishevska I, Shin W, Kim J. Protocol for in vivo dual-color fiber photometry in the mouse thalamus. STAR Protoc 2024; 5:102931. [PMID: 38470909 PMCID: PMC10943959 DOI: 10.1016/j.xpro.2024.102931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/12/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
In vivo calcium imaging of neural activity is an indispensable approach for understanding the mechanisms and functions of neural system. Development of advanced imaging tools and various genetically encoded calcium indicators allows us to simultaneously record the activity of different neural populations. Here, we present a protocol for acquiring neural activity of two discrete neural populations in mice using dual-color fiber photometry. We describe steps for injecting viral constructs and implanting the fiber optic through stereotaxic surgery, calcium signal acquisition, and data analysis. We also describe the incorporation of electroencephalogram and electromyography recordings with dual-color fiber photometry analysis. For complete details on the use and execution of this protocol, please refer to Shin et al.1.
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Affiliation(s)
- Almas Serikov
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, Korea University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Iryna Martsishevska
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, Korea University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Wooyeon Shin
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Jeongjin Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, Korea University of Science and Technology (UST), Daejeon, Republic of Korea.
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12
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Lemercier CE, Krieger P, Manahan-Vaughan D. Dynamic modulation of mouse thalamocortical visual activity by salient sounds. iScience 2024; 27:109364. [PMID: 38523779 PMCID: PMC10959669 DOI: 10.1016/j.isci.2024.109364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/11/2023] [Accepted: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
Visual responses of the primary visual cortex (V1) are altered by sound. Sound-driven behavioral arousal suggests that, in addition to direct inputs from the primary auditory cortex (A1), multiple other sources may shape V1 responses to sound. Here, we show in anesthetized mice that sound (white noise, ≥70dB) drives a biphasic modulation of V1 visually driven gamma-band activity, comprising fast-transient inhibitory and slow, prolonged excitatory (A1-independent) arousal-driven components. An analogous yet quicker modulation of the visual response also occurred earlier in the visual pathway, at the level of the dorsolateral geniculate nucleus (dLGN), where sound transiently inhibited the early phasic visual response and subsequently induced a prolonged increase in tonic spiking activity and gamma rhythmicity. Our results demonstrate that sound-driven modulations of visual activity are not exclusive to V1 and suggest that thalamocortical inputs from the dLGN to V1 contribute to shaping V1 visual response to sound.
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Affiliation(s)
- Clément E. Lemercier
- Department of Neurophysiology, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany
| | - Patrik Krieger
- Department of Neurophysiology, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany
| | - Denise Manahan-Vaughan
- Department of Neurophysiology, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany
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Liu X, Tong X, Zou L, Ju Y, Liu M, Han M, Lu H, Yang H, Wang J, Zong Y, Liu W, Xu X, Jin X, Xiao L, Jia H, Guo R, Zhang T. A genome-wide association study reveals the relationship between human genetic variation and the nasal microbiome. Commun Biol 2024; 7:139. [PMID: 38291185 PMCID: PMC10828421 DOI: 10.1038/s42003-024-05822-5] [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: 06/27/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024] Open
Abstract
The nasal cavity harbors diverse microbiota that contributes to human health and respiratory diseases. However, whether and to what extent the host genome shapes the nasal microbiome remains largely unknown. Here, by dissecting the human genome and nasal metagenome data from 1401 healthy individuals, we demonstrated that the top three host genetic principal components strongly correlated with the nasal microbiota diversity and composition. The genetic association analyses identified 63 genome-wide significant loci affecting the nasal microbial taxa and functions, of which 2 loci reached study-wide significance (p < 1.7 × 10-10): rs73268759 within CAMK2A associated with genus Actinomyces and family Actinomycetaceae; and rs35211877 near POM121L12 with Gemella asaccharolytica. In addition to respiratory-related diseases, the associated loci are mainly implicated in cardiometabolic or neuropsychiatric diseases. Functional analysis showed the associated genes were most significantly expressed in the nasal airway epithelium tissue and enriched in the calcium signaling and hippo signaling pathway. Further observational correlation and Mendelian randomization analyses consistently suggested the causal effects of Serratia grimesii and Yokenella regensburgei on cardiometabolic biomarkers (cystine, glutamic acid, and creatine). This study suggested that the host genome plays an important role in shaping the nasal microbiome.
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Affiliation(s)
- Xiaomin Liu
- BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xin Tong
- BGI Research, Shenzhen, 518083, China
| | | | - Yanmei Ju
- BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | | | - Mo Han
- BGI Research, Shenzhen, 518083, China
| | - Haorong Lu
- China National Genebank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Huanming Yang
- BGI Research, Shenzhen, 518083, China
- James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Jian Wang
- BGI Research, Shenzhen, 518083, China
- James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Yang Zong
- BGI Research, Shenzhen, 518083, China
| | | | - Xun Xu
- BGI Research, Shenzhen, 518083, China
| | - Xin Jin
- BGI Research, Shenzhen, 518083, China
| | - Liang Xiao
- BGI Research, Shenzhen, 518083, China
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, Shenzhen, 518083, China
| | - Huijue Jia
- Greater Bay Area Institute of Precision Medicine, Guangzhou, Guangdong, China.
- School of Life Sciences, Fudan University, Shanghai, China.
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Lewis S. Raising the alarm. Nat Rev Neurosci 2023; 24:191. [PMID: 36854796 DOI: 10.1038/s41583-023-00685-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
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15
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Noise shatters deep sleep thanks to dedicated brain circuit. Nature 2023; 614:392. [PMID: 36750702 DOI: 10.1038/d41586-023-00354-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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