ライフサイエンスコーパス: in behaving

1 n calcium and voltage activity at high speed in behaving adult flies.

2 this issue, we used chronic calcium imaging in behaving adult mice to examine the activity of indivi

3 multiple cortical and subcortical structures in behaving and anesthetized animals.

4 haracterizations of neuronal firing patterns in behaving animals and humans have suggested how neural

5 extended the exploration of neuroplasticity in behaving animals and humans.

6 of theta generation that operate in parallel in behaving animals and link them to anxiolytic drug act

7 Here, through large-scale functional imaging in behaving animals and morphological quantification, we

8 vasive, in vivo monitoring of a hollow organ in behaving animals and pinpoint important limitations o

9 ytotic dopamine release as a key AMPH action in behaving animals and support a unified mechanism of a

10 ology and plasticity of hippocampal circuits in behaving animals and that these changes have importan

11 reversible manipulations of neural activity in behaving animals are transforming our understanding o

12 The functional properties of neurons in behaving animals are typically assessed over time per

13 is of themedial entorhinal cortex, and which in behaving animals could support generation of grid-lik

14 cking a temporal pattern of their activation in behaving animals during auditory fear conditioning re

15 Key prospective usages include brain imaging in behaving animals for relating cellular dynamics to an

16 Information processing in behaving animals has been the target of many studies

17 neously record from large numbers of neurons in behaving animals has ushered in a new era for the stu

18 Unit recordings in behaving animals have revealed the transformation of

19 This is challenging in behaving animals if the brain moves and deforms.

20 ly induced at the peak of local theta rhythm in behaving animals in region CA1 and that LTD was found

21 Dynamic measures in behaving animals included assessing (1) VTA neuronal

22 antifying the metabolism of the intact brain in behaving animals is clearly of interest.

23 Neural activity recorded in behaving animals is nonstationary, making it difficul

24 CIN activity contributes to NAc DA dynamics in behaving animals is not well understood.

25 by developing birds; single-unit physiology in behaving animals is providing important clues about s

26 bute to cognition, their response properties in behaving animals is unclear.

27 Neurons recorded in behaving animals often do not discernibly respond to

28 However, whether dendrites in behaving animals perform independent local computatio

29 ing, activation, and inactivation of neurons in behaving animals promise to revolutionize studies of

30 ence for an inverted U at the cellular level in behaving animals promises to bridge in vitro molecula

31 twork activity with single-neuron resolution in behaving animals remain limited.

32 the mechanisms controlling ripple initiation in behaving animals remain poorly understood.

33 this activity is affected by HDAC modulation in behaving animals remains unclear.

34 ted, the specific function of these circuits in behaving animals remains unknown.

35 terns of neurons across multiple brain areas in behaving animals remains unknown.

36 In vivo recordings in behaving animals revealed that MD-PFC beta-range sync

37 le imaging MPOA(Esr1) or VMHvl(Esr1) neurons in behaving animals showed, unexpectedly, that the male-

38 Studies in behaving animals suggest that neurones located in the

39 this, we observe with large-scale recordings in behaving animals that the relative contribution of PV

40 his study used extracellular unit recordings in behaving animals to evaluate thalamocortical response

41 h of these techniques are broadly applicable in behaving animals to test hypotheses about the biophys

42 easured the activity of zona incerta neurons in behaving animals under different conditions.

43 ting the nuclear activity of class IIa HDACs in behaving animals using a chemical-genetic technique,

44 ese regions for study at cellular resolution in behaving animals using a rapidly expanding palette of

45 off, we optically recorded circuit activity in behaving animals while manipulating circuit function

46 ptic neuron and postsynaptic muscle activity in behaving animals while recording circuit responses th

47 rds membrane potential from multiple neurons in behaving animals will have a transformative effect on

48 ty shapes the feature selectivity of neurons in behaving animals(1).

49 hat drive, and are shaped by, Fos expression in behaving animals(7-10).

50 llations (0.5-2 Hz in anesthetized, 0.5-4 Hz in behaving animals) and supratheta (6-10 Hz in anesthet

51 upratheta (6-10 Hz in anesthetized, 10-25 Hz in behaving animals) bands.

52 m of longitudinal analysis of brain activity in behaving animals, allowing dissociation of the roles

53 nipulation of genetically defined cell types in behaving animals, and recent developments, including

54 In behaving animals, blocking CP-AMPARs in the RMTg with

55 efficiently relay information to the cortex in behaving animals, but have markedly different consequ

56 minent feature of neuronal activity recorded in behaving animals, but the mechanism by which it occur

57 each type of processing relates to the other in behaving animals, despite their common substrate.

58 Tracking body parts in behaving animals, extracting fluorescence signals fro

59 h caused thermal and mechanical hyperalgesia in behaving animals, induced an enhancement of transmiss

60 In behaving animals, local inhibition of PKMzeta disrupt

61 of LC activity, similar to those that occur in behaving animals, may be more effective in increasing

62 these fluctuations was twofold smaller than in behaving animals, passive animals had the same patter

63 me sequential agonist and antagonist methods in behaving animals, we demonstrate that the conditioned

64 ng and calcium imaging of egg-laying muscles in behaving animals, we found that the muscles appear to

65 By imaging circuit activity in behaving animals, we show that a principal postsynapt

66 cell-type-specific optogenetic manipulations in behaving animals, we show that dendrite-targeting som

67 high-resolution imaging of dopamine dynamics in behaving animals.

68 sibly reduce the firing of serotonin neurons in behaving animals.

69 es of individual miRNAs have been elucidated in behaving animals.

70 of MEC neurons, such as grid cells, recorded in behaving animals.

71 We confirmed both of these hypotheses in behaving animals.

72 the selection of a target among distractors in behaving animals.

73 al control of neuronal activity and circuits in behaving animals.

74 tigated the functional contributions of FSIs in behaving animals.

75 l activity are compromised by brain movement in behaving animals.

76 iming rule for cue-reward learning paradigms in behaving animals.

77 in layer II of the medial entorhinal cortex in behaving animals.

78 terneurons contribute to cerebellar function in behaving animals.

79 as been characterized electrophysiologically in behaving animals.

80 these cells has not previously been studied in behaving animals.

81 tissue organization and signaling mechanisms in behaving animals.

82 e fluctuations similar in many ways to those in behaving animals.

83 the firing properties of CA1 and CA3 neurons in behaving animals.

84 se as transgenically encoded calcium sensors in behaving animals.

85 ation for odor discrimination and adaptation in behaving animals.

86 asive chemical control over cell populations in behaving animals.

87 f biophysical control mechanisms are evident in behaving animals.

88 ntial, ultimately, to study these properties in behaving animals.

89 e involvement of MAPK in learning and memory in behaving animals.

90 atial memory was confirmed by silencing DGNs in behaving animals.

91 control to the structure of neural activity in behaving animals.

92 een used to capture fast cholinergic signals in behaving animals.

93 d paves the way for true optogenetic control in behaving animals.

94 ut via mitral cells (MCs) and odor detection in behaving animals.

95 signaling taking place at specific synapses in behaving animals.

96 nd connectivity to selective task engagement in behaving animals.

97 on for real-time calcium imaging experiments in behaving animals.

98 g that IPCs are modulated on fast timescales in behaving animals.

99 and versatile platform for neuronal tracking in behaving animals.

100 ion of Gq signaling dynamics mediated by PKC in behaving animals.

101 w for optical monitoring of dopamine release in behaving animals.

102 l the properties of phasic dopamine observed in behaving animals.

103 d insight into the function of living brains in behaving animals.

104 haracterize the thalamocortical connectivity in behaving animals.

105 probes for investigation of neural circuitry in behaving animals.

106 etic inhibitors for in vivo circuit analysis in behaving animals.

107 hysiological elements and their interactions in behaving animals.

108 ex-wide dynamics on a moment-by-moment basis in behaving animals.

109 hroughput long-term extracellular recordings in behaving animals.

110 of the major hippocampal interneuron classes in behaving animals.

111 in spiny projection neurons remains untested in behaving animals.

112 emerged as a suitable method for such tasks in behaving animals.

113 cordings of spontaneous cholinergic dynamics in behaving animals.

114 ver, on the coding of odors among OT neurons in behaving animals.

115 llenges with closed-loop optogenetic control in behaving animals.

116 imaging of cortical function and dysfunction in behaving animals.

117 thus it has remained challenging to perform in behaving animals.

118 ether they occur or what their role might be in behaving animals.

119 ns comes from recordings of individual cells in behaving animals; however, it is notoriously difficul

120 n vivo, we show fluorescence voltage sensing in behaving Caenorhabditis elegans.

121 Here we show that in behaving cats, thalamocortical neurons in the lateral

122 ivation of parvalbumin-positive interneurons in behaving ChR2-EYFP reporter mice.

123 Fs) with micrometre and nanonewton precision in behaving Drosophila larvae.

124 he ability to perform patch-clamp recordings in behaving Drosophila promises to help unify the unders

125 Here, using calcium imaging in behaving Drosophila, we find that the axons of positi

126 cordings from genetically identified neurons in behaving Drosophila.

127 nly used methods of analyzing breathing data in behaving experimental animals are usually subjective,

128 Here, we used whole-brain calcium imaging in behaving female Drosophila flies to investigate wheth

129 Neural perturbations in behaving females demonstrated relaxation of populatio

130 Recordings in behaving flies confirmed that motor neurons are typic

131 responses from the mushroom body gamma-lobes in behaving flies short term and long term.

132 hod to capture neural structure and activity in behaving flies through the intact cuticle.

133 d a rapid tonic firing during tonic seizures in behaving GEPR-9s, suggesting that the MGB may be impl

134 tigate neural correlates of visual attention in behaving honeybees (Apis mellifera).

135 Insights derived from observing these cells in behaving humans include that semantic representations

136 synaptic signaling by specific ion channels in behaving humans.

137 rnal circuitry of the motor cortex for study in behaving humans.

138 , we characterize and map neuronal ensembles in behaving Hydra, finding three major non-overlapping e

139 of awake mice, and from confocal microscopy in behaving Hydra, which experiences major body deformat

140 saturation via multi-wavelength irradiation in behaving hyperoxic rats.

141 nic lines, optogenetics, and calcium imaging in behaving larval zebrafish.

142 Through single-cell recordings in behaving male and female C57BL/6 mice, we show here t

143 in-concentrating hormone (MCH) neurons (MNs) in behaving male and female mice, we observed large MN a

144 ctrophysiological recordings of single units in behaving male mice exposed to a rat to investigate th

145 taneous recordings of HONs and blood glucose in behaving male mice, we found that maximal HON respons

146 a subset of extracellular neural recordings in behaving male rhesus macaques.

147 Stimulation of the MRN in behaving malnourished animals may markedly affect the

148 rol of nociception and central sensitization in behaving mammals and enables selective activation of

149 t progress and future directions for imaging in behaving mammals from a systems engineering perspecti

150 eural circuit activity recording and control in behaving mammals have elucidated how direct and indir

151 the causal impact of biochemical signalling in behaving mammals, in a targetable and temporally prec

152 g capabilities for recording neural dynamics in behaving mammals, including the means to monitor hund

153 naptic plasticity during learning and memory in behaving mammals.

154 Here we image LHb neuronal activity in behaving mice and find that acute stress transforms L

155 ypothesis, we first used neural inactivation in behaving mice and found that the AC plays a critical

156 ctivate these neurons at different intervals in behaving mice and were able to fragment sleep without

157 es, dendrites and large neuronal populations in behaving mice and zebrafish demonstrate real-time mov

158 New electrophysiological recordings in behaving mice by Luo, Fee and Katz reveal aspects of

159 Microdialysis in behaving mice confirmed that EE normalized increases

160 Intracellular recordings in behaving mice demonstrate that bimodal excitation dri

161 y patterns within and across spinal segments in behaving mice have remained elusive.

162 macological disruption of glucagon signaling in behaving mice indicated a critical role for glucagon

163 n of BF cholinergic or glutamatergic neurons in behaving mice produced significant effects on state c

164 releasing parafacial zone (PZ(Vgat)) neurons in behaving mice produces slow-wave-sleep (SWS), even in

165 However, the dynamics of these processes in behaving mice remain unexplored, as do the interactio

166 conducted Ca(2+) imaging of neural dynamics in behaving mice responding to pain-provoking stimuli an

167 ing, and modulation of synaptic transmission in behaving mice revealed that activity in presynaptic C

168 ortex (V1) and lateromedial (LM) visual area in behaving mice revealed that the variability in LM neu

169 system, we show that dorsal horn astrocytes in behaving mice show sensorimotor program-dependent and

170 In vivo optrode recordings in behaving mice showed that many VTA neurons, among the

171 ity of large populations of cortical neurons in behaving mice subject to visual stimuli.

172 Here we show for the first time in behaving mice that the somatostatin-expressing neuron

173 ciative learning tasks), we decided to study in behaving mice the putative changes in strength taking

174 al dendritic activity in CA1 pyramidal cells in behaving mice using longitudinal two-photon calcium i

175 multi-channel epidural ERP characterization in behaving mice with high precision, reliability and co

176 mulation, neural recording and drug delivery in behaving mice with high resolution.

177 In behaving mice with unilateral SCI, four consecutive 2

178 of hundreds of thousands of labeled synapses in behaving mice, and computer vision-based automatic sy

179 Thus, in behaving mice, auditory midbrain neurons transmit a p

180 In behaving mice, cholinergic stimulation was less effec

181 In behaving mice, continuous NMDAR blockade in CA1 reduc

182 Using population imaging in behaving mice, pharmacology and deep neural network m

183 In behaving mice, the gamma event rate increases steadil

184 aracterize two functionally distinct classes in behaving mice, the negative-valence neurons and posit

185 In behaving mice, the same peptides function as individu

186 In behaving mice, these neurophysiological observations,

187 Using calcium imaging in behaving mice, we find that auditory striatal neurona

188 Using in vivo intracellular recordings in behaving mice, we find that excitatory neurons in the

189 g optogenetics and multi-electrode recording in behaving mice, we found that brief selective drive of

190 (m) recordings and optogenetic manipulations in behaving mice, we found that CA3 place-field activity

191 In behaving mice, we found that while an abrupt facial a

192 surement of neuronal and glial cell activity in behaving mice, we have developed fluorescence imaging

193 nd cell-type-specific activity manipulations in behaving mice, we identified leptin-sensitive neurona

194 ble recordings and optogenetic interventions in behaving mice, we show that abDGCs constitute a subse

195 Using two-photon calcium imaging in behaving mice, we show that basal forebrain cholinerg

196 Here, using two-photon calcium imaging in behaving mice, we show that granule cells convey info

197 and cell type-specific deep-brain recordings in behaving mice, we show that orexin cell activation ra

198 ed with optogenetic and molecular techniques in behaving mice, we show that SOM(+) CeL neurons are ac

199 By recording and labeling individual neurons in behaving mice, we show that the representation of bri

200 ate single, genetically identified glomeruli in behaving mice.

201 d fluorescence in matched neural populations in behaving mice.

202 the hippocampus with subcellular resolution in behaving mice.

203 iated with decreased sweet taste sensitivity in behaving mice.

204 BA)) using two-photon imaging and photometry in behaving mice.

205 ing and control of specific types of neurons in behaving mice.

206 glutamate input received by CA1 place cells in behaving mice.

207 netic approach for manipulating EEC subtypes in behaving mice.

208 vances enabled by wide-field calcium imaging in behaving mice.

209 ting neuropharmacological mechanisms in vivo in behaving mice.

210 s of complementary neural circuit approaches in behaving mice.

211 ing fear learning and extinction over 6 days in behaving mice.

212 layer-specific modulation of their activity in behaving mice.

213 ays, in slices of mouse dorsal striatum, and in behaving mice.

214 it dynamics and alter spatial working memory in behaving mice.

215 vioural, hormonal and dopaminergic responses in behaving mice.

216 d large-scale recording of neuronal activity in behaving mice.

217 maintain SWS or EEG slow-wave activity (SWA) in behaving mice.

218 s for investigating peptidergic transmission in behaving mice: a genetically encoded large dense core

219 the fovea of the primary visual cortex (V1) in behaving monkeys (macaque, male).

220 me from two sources: single-neuron recording in behaving monkeys and assessment of the visual abiliti

221 deling, voltage-sensitive dye imaging (VSDI) in behaving monkeys and behavioral measurements in human

222 ing task by recording single-neuron activity in behaving monkeys from the amygdala, dorsolateral pref

223 ngs of the activity of cervical interneurons in behaving monkeys has elucidated their contribution to

224 the firing rates of single neurons recorded in behaving monkeys remain elevated without external cue

225 Studies in behaving monkeys show that neural output from the mot

226 functional properties of the insular cortex in behaving monkeys using intracortical microstimulation

227 In behaving monkeys, Thura and Cisek (2017, in this issu

228 Using functional magnetic resonance imaging in behaving monkeys, we demonstrated a network of cortic

229 Using voltage-sensitive dye imaging in behaving monkeys, we measured neural population respo

230 t for these mechanisms during motor learning in behaving monkeys.

231 on in V1 using voltage-sensitive dye imaging in behaving monkeys.

232 ithin a visuomotor area of prefrontal cortex in behaving monkeys.

233 motion artifacts, including calcium dynamics in behaving mouse brain and transient morphology changes

234 dal locomotion with extracellular recordings in behaving NHPs at rest and during locomotion.

235 motor neuronal system present within the MRF in behaving NHPs under normal conditions, in accordance

236 f a locomotor neuronal system within the MRF in behaving NHPs.

237 otor neuroprostheses are widely investigated in behaving non-human primates, but technical constraint

238 bers for causal studies of neuronal activity in behaving nonhuman primates and pave the way for clini

239 ay facilitate molecular neuroscience studies in behaving organisms.

240 way to defining the functions of striosomes in behaving primates in relation to mood, motivation, an

241 ng the responses of tonically active neurons in behaving primates, we found that these correlations h

242 locomotor neuronal circuit within these MRF in behaving primates.

243 Here we show in behaving rabbits that tDCS applied over the somatosen

244 he firing activities of MC neurons, recorded in behaving rabbits, are related to and preceded the ini

245 ) in the acquisition of a trace conditioning in behaving rabbits.

246 ity in motor cortex and basal ganglia output in behaving rats after dopamine cell lesion.

247 the somatosensory area and prefrontal cortex in behaving rats and mice.

248 nhancement of LTP in the VTA and cocaine CPP in behaving rats both require glucocorticoid receptor ac

249 monitoring sensory stimulus-evoked responses in behaving rats by measuring hemodynamic responses in t

250 phetamine-conditioned place preference (CPP) in behaving rats correlates with the magnitude of mGluR-

251 We performed electrophysiological recordings in behaving rats during the retrieval phase of the objec

252 We recorded single neurons in behaving rats from the posterior insula cortex (pIC),

253 wever, previous electrophysiological studies in behaving rats have reported firing patterns consisten

254 By contrast, studies in behaving rats report pronounced excitation during mov

255 Microinfusions of 2-AG into the PBN in behaving rats robustly stimulated feeding of pellets

256 -specific optogenetics and electrophysiology in behaving rats to search for selective functions of st

257 In behaving rats trained to discriminate between two odo

258 of 94 presumed medium spiny striatal neurons in behaving rats treated with AA or vehicle and examined

259 DLSC neuronal firing changes in behaving rats were subsequently examined, using chron

260 We disrupted OFC activity in behaving rats with a use-dependent NMDA antagonist to

261 In behaving rats, isradipine injected into the VTA suppr

262 We report here a test of this hypothesis in behaving rats, monitoring respiratory activity throug

263 In behaving rats, optogenetic stimulation of CeA(CAM)-LP

264 of individual hippocampal principal neurons in behaving rats, such as place fields, theta modulation

265 In behaving rats, thalamic responses were normally small

266 Using multichannel unit recording techniques in behaving rats, we observed sustained conditioned tone

267 linically relevant concentrations of ethanol in behaving rats, without influences from the rest of th

268 ring patterns of lateral septal (LS) neurons in behaving rats.

269 esthetized rats and extracellular recordings in behaving rats.

270 noncholinergic basal forebrain (BF) neurons in behaving rats.

271 d the oscillatory synaptic activity detected in behaving rats.

272 1 pyramidal cell burst activity was examined in behaving rats.

273 bility to develop acute tolerance to alcohol in behaving rats.

274 AT) technique is described for brain imaging in behaving rats.

275 ence of local sleep during wake as described in behaving rats.

276 amus (VPMpc) processes gustatory information in behaving rats.

277 bic and infralimbic subdivisions of the mPFC in behaving rats.

278 ography, we tracked implanted tongue markers in behaving rhesus macaques (Macaca mulatta) and simulta

279 dings in a motor area of the cerebral cortex in behaving rhesus monkeys (Macaca mulatta) were used to

280 these possibilities, we examined grid cells in behaving rodents as they made long trajectories acros

281 g has enabled cellular activity measurements in behaving rodents but is currently limited to superfic

282 as been the subject of intense investigation in behaving rodents, much less is known on how VPMpc neu

283 eously record and manipulate neural activity in behaving rodents.

284 how the potential of 3D-wPAT for brain study in behaving rodents.

285 f behaviour requires studying brain activity in behaving subjects using complementary techniques that

286 kull and imaging neural activity chronically in behaving, transgenic mice.

287 ntly been imaged with single-cell resolution in behaving vertebrates.

288 to record from 22 neuromodulatory cell types in behaving zebrafish during a reaction-time task that r