ライフサイエンスコーパス: neural activity

1 tic tools available for measuring population neural activity.

2 tion occurs through time-varying patterns of neural activity.

3 spatial memory, were linked to regulation of neural activity.

4 iferation, neurogenesis, synaptogenesis, and neural activity.

5 d affective behavior, stress regulation, and neural activity.

6 exact mapping between stimulus features and neural activity.

7 g leads to changes in population patterns of neural activity.

8 associated with specific spatial patterns of neural activity.

9 ~4-10 Hz rhythm that coordinates brain-wide neural activity.

10 without corresponding changes in population neural activity.

11 -noise ratio and artifactual correlations of neural activity.

12 ed in scale-free fluctuations in spontaneous neural activity.

13 during youth to directly support coordinated neural activity.

14 ttent, transient, high-power burst events of neural activity.

15 ound (TUS) can non-invasively modulate human neural activity.

16 on is maintained through sustained, elevated neural activity.

17 play spontaneous aggregate-wide synchronized neural activity.

18 al information represented stochastically in neural activity.

19 sation by normalizing hyperexcitable central neural activity.

20 etween changes-of-mind and elevated top-down neural activity.

21 persists throughout life and is regulated by neural activity.

22 emodeling, during learning or in response to neural activity.

23 ined under basal conditions and regulated by neural activity.

24 serted into the brain to record simultaneous neural activity.

25 timulate and electrically measure deep-brain neural activity.

26 the preferential processing of physiological neural activity.

27 hibitory synapse formation and the resulting neural activity.

28 xplained by a limited set of ~14 "motifs" of neural activity.

29 ce neural probes that measure and manipulate neural activity.

30 ns regarding the significance of spontaneous neural activity.

31 tered during short- and long-term changes in neural activity.

32 classified five facial expressions, based on neural activity.

33 impart a widespread inhibitory influence on neural activity.

34 the retina to induce a vascular response to neural activity.

35 reby attenuating the flow increase evoked by neural activity.

36 to experimental recordings of visual-driven neural activity.

37 of stimulation would suggest an influence on neural activity.

38 e notion that arousal increases precision of neural activity.

39 test the functional significance of coherent neural activity.

40 DAR-dependent nitric oxide production during neural activity.

41 cience studies involving chronic tracking of neural activities.

42 elopment is deterministic and independent of neural activity [4-6].

43 A distinct feature of neural activity accompanying movement, however, is incre

44 s that this mechanism stabilizes oscillatory neural activity across a wide range of connectivity gain

45 captured a unique spatiotemporal pattern of neural activity across the cortex.

46 we used mesoscale calcium imaging to record neural activity across the dorsal cortex of awake mice.

47 ds now allow cell-type-specific recording of neural activity across the mammalian brain, potentially

48 ium imaging enables recording of large-scale neural activity across the mouse dorsal cortex.

49 non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during

50 rstood since experimental tools that measure neural activity across this brainstem-wide circuit are l

51 atients experience widespread alterations in neural activity after sensory loss.

52 Neural activity after serum incubation was assessed in m

53 Elevated neural activity alters the dynamics of Syp and the numbe

54 Nearly all brain functions involve routing neural activity among a distributed network of areas.

55 ed unique, possibly compensatory patterns of neural activity among adolescents whose ADHD has improve

56 Bilateral correlations in neural activity and [HbT] were highest during NREM, and

57 How neural activity and attention to choice alternatives con

58 ol, to probe relationships between prestress neural activity and behavior and potential predictors of

59 Neural activity and behavior are both notoriously variab

60 ings indicate that individual differences in neural activity and behavior play a role in predetermini

61 Links between neural activity and behavioral measures were most eviden

62 ignals in one sensory modality can influence neural activity and behavioural performance associated w

63 task demands by using different subspaces of neural activity and by representing the currently releva

64 The transform between neural activity and calcium-related fluorescence involve

65 e thought to play a pivotal role in coupling neural activity and cerebral blood flow.

66 disorder (MDD) is characterized by abnormal neural activity and connectivity.

67 he possibility of local circadian control of neural activity and function.

68 T] increased markedly, and coherency between neural activity and hemodynamic signals was higher than

69 ce of noninvasive stimulation on hippocampal neural activity and highlight that the theta-burst rhyth

70 ochemical signaling mechanisms between 40 Hz neural activity and immune recruitment remain unknown.

71 hs in cortical gray matter profoundly alters neural activity and is associated with cognitive disabil

72 imulation of glial-like GAD65(+) TBCs evokes neural activity and modulates behavior.

73 rocess is played by the basal ganglia, where neural activity and plasticity are modulated by dopamine

74 Interneuron cell death is modulated by neural activity and pro-survival pathways but the cell-s

75 hts at 40 Hz drives gamma frequency (~40 Hz) neural activity and recruits microglia, the primary immu

76 rsistent changes in behavior with persistent neural activity and recurrent circuit architecture in th

77 Stress can induce enduring changes in neural activity and synaptic function.

78 c memory is encoded by specific sequences of neural activity and that memory recall involves reinstat

79 processing: the representation of stimuli in neural activity and the transmission of information in n

80 riptional correlates linked to regulation of neural activity and use of an allocentric strategy.

81 Here, using two-photon microscopy to image neural activity and vascular dynamics simultaneously in

82 process beyond serving as a marker of recent neural activity and, if so, which of its many gene targe

83 y which theta oscillations are excitatory to neural activity, and alpha oscillations are inhibitory.

84 oscopy reconstruction, functional imaging of neural activity, and behavioral experiments to elucidate

85 models for complex behaviors, heterogeneous neural activity, and circuit connectivity, as well as to

86 ndent and sex-dependent effects on behavior, neural activity, and functional connectivity across mult

87 of how kinetic information is represented in neural activity, and how this representation is affected

88 d uncertainties surrounding its influence on neural activity, and human cognition and functioning.

89 In silico treatments of neural activity are an important tool for the understand

90 However, measurements of neural activity are compromised by brain movement in beh

91 Targeted manipulations of neural activity are essential approaches in neuroscience

92 is encoded in the brain, and how changes in neural activity are implemented at a network level to im

93 tical model integrates the impact of diurnal neural activity as emanated from circadian regulation to

94 Game of Life, Reynolds' flocking model, and neural activity as measured by electrocorticography.

95 efeat induced a functional reorganization of neural activity as optogenetic activation could elicit a

96 s revealed changes in spontaneous and evoked neural activity, as well as activation of non-neuronal c

97 AAG levels, measures of human cognition, and neural activity associated with cognition.

98 Critically, neural activity associated with recalling specific detai

99 We identify the dimensions of neural activity associated with these phases and show th

100 uture isofrequency zones exhibit coordinated neural activity at birth.

101 Decoding network excitability from neural activity at modulator sites predicted sender-rece

102 ty to control a behavioral task or stimulate neural activity based on animal behavior in real-time is

103 ics and neurovascular coupling, we monitored neural activity, behavior, and hemodynamic signals in un

104 Furthermore, a direct comparison of neural activity between patients and controls revealed a

105 ations did not induce changes in preparatory neural activity, but a strongly reduced Pd, an ERP index

106 mood or action require persistent changes in neural activity, but it has been difficult to identify t

107 ted attentional resources, the modulation of neural activity by bottom-up attention is graded by degr

108 een attributed to feedforward readout of the neural activity by the downstream decision-making circui

109 ailability of extracellular glutamate during neural activity can have profoundly negative consequence

110 .SIGNIFICANCE STATEMENT Specific patterns of neural activity can promote long-term changes in the str

111 dels, successfully predicted how features of neural activity changed as monkeys reached to targets in

112 d, this work investigates how motor cortical neural activity changes when three human participants wi

113 Furthermore, neural activity clearly differentiated linguistic and tr

114 st 200 ms after onset, transient patterns of neural activity coded the fundamental frequency of tones

115 One state highlighted a pattern of neural activity commonly seen during demanding tasks, an

116 hat attempted force production recruits more neural activity compared to observed or imagined force p

117 ore accurate, relying on a unique pattern of neural activity, compared to deliberative strategies.

118 At the time of choice, neural activity consistent with model-free moral learnin

119 In frontoparietal regions, neural activity consistent with priors is selectively en

120 chological stress demonstrated (1) disrupted neural activity critical for mnemonic retrieval and ment

121 Indeed, disrupting the correlations between neural activities decreased decoding performance, mostly

122 lanation for this adaptive behaviour is that neural activity decreases with increasing regularities i

123 ixed decoders based directly on the recorded neural activity degraded substantially.

124 the non-oscillatory, scale-free component of neural activity, delineates wakefulness from propofol an

125 Neural activity depends on the maintenance of ionic and

126 eural interface techniques, we have recorded neural activity directly within the tumor mass while the

127 Coherence is commonly used but neural activity does not follow its Gaussian assumption.

128 on, suggesting that internal fluctuations in neural activity drive behaviorally meaningful variations

129 ior and neurophysiology, which suggests that neural activity during fear learning instructs the forma

130 ring a full-body reaching task to understand neural activity during movement-evoked pain.

131 ars reticulata (SNr), shows movement-related neural activity during the expression of a negatively re

132 ts also demonstrated striking differences in neural activity during the final memory test.

133 FOLH1 genetic variation was correlated with neural activity during working memory, as measured by fu

134 ess, how dysregulated PV networks affect the neural activity dynamics that underlie auditory cortical

135 Increase of cortical nAcRbeta2 mediated by neural activity elevates the level of intracellular Ca(2

136 Separable modes of neural activity encoded history-guided motor plans, with

137 How and where auditory neural activity encodes these pitch trajectories as thei

138 rons generated task-specific trajectories of neural activity encoding past, present, and future event

139 We found neural activity encoding two possible future scenarios (

140 e dFB promotes sustained wake-like levels of neural activity even though flies become unresponsive to

141 methodologies for imaging of spontaneous and neural activity-evoked calcium transients in mural cells

142 alization have been shown to account for how neural activity evolves over time in value-based decisio

143 Neural activity exhibits complex dynamics related to var

144 refers to the phenomenon wherein patterns of neural activity expressed during perceptual experience a

145 y to specify the transfer of information via neural activity flow processes, successfully predicting

146 t the similarity between spatial patterns of neural activity following animate-constraining verbs was

147 t handshapes and body locations and distinct neural activity for linguistic versus transitional movem

148 ce for developmental mechanisms that rely on neural activity for proper cortical development.

149 owing when events may occur helps to prepare neural activity for upcoming perception and action.

150 amma-phase-dependent stimulus content within neural activity from area V4 of two male macaques perfor

151 Next, we analyzed motor cortical neural activity from monkeys reaching to targets of diff

152 nt study has revealed a dynamic evolution of neural activity from sensory discrimination to choice in

153 y measure behavior, physiological state, and neural activity from the human brain using chronically i

154 oughout the cortex; (b) marked reductions in neural activity (from waking) over widespread regions of

155 rease in cerebral blood flow (CBF) evoked by neural activity (functional hyperemia), a vital homeosta

156 How does neural activity generate perception?

157 By using simulations of recordings of neural activity, here we show that the SBP is dominated

158 potentially due to the significantly higher neural activity (hyperexcitability) seen in the J20-hAPP

159 Cellular registration of large-scale neural activity imaging to multiplexed in situ gene expr

160 By contrast, neural activity in a brain region in the ventral striatu

161 oped an optical method (COSMOS) for tracking neural activity in a largely uncharacterized spatiotempo

162 brain, and of THC effects upon behavior and neural activity in adolescent Long Evans rats of both se

163 non-invasive neuroimaging methods can assess neural activity in all areas of the human brain but the

164 down-state featuring prolonged silencing of neural activity in all layers of many cortical areas, fo

165 These results suggest that 1) neural activity in area 2 includes representation of the

166 /e activation drives long-lasting persistent neural activity in brain areas and cells overlapping wit

167 vity changes revealed profound disruption of neural activity in brain areas linked to social behaviou

168 Here, we recorded DMS neural activity in cocaine-experienced male rats during

169 Persistent neural activity in cortical, hippocampal, and motor netw

170 malization model has been applied to explain neural activity in diverse neural systems including prim

171 We have achieved both by collecting neural activity in dorsal-lateral prefrontal cortex of m

172 We found that both behavior and neural activity in EC and vmPFC/mOFC reflected the Eucli

173 methods, which offer a direct measurement of neural activity in functionally well-characterized brain

174 duced effects were associated with increased neural activity in HVC and occurred independently of bas

175 ver, it has remained difficult to manipulate neural activity in individual limbs of freely moving ani

176 tivity in the cortex, evidence of changes in neural activity in individuals with chronic low back pai

177 social defeat exhibit greater defeat-induced neural activity in infralimbic (IL) cortex neurons that

178 To address this, we recorded neural activity in M1 and the cervical SC during a visuo

179 We recorded neural activity in male monkeys playing a variant of the

180 abnormalities as well as increased cortical neural activity in MIA male offspring.

181 We found that neural activity in olfactory cortex largely reflects sen

182 In a second analysis, neural activity in posterior orbitofrontal cortex/anteri

183 During passive listening, we recorded neural activity in primary auditory cortex (A1) and seco

184 n is a form of simple memory that suppresses neural activity in response to repeated, neutral stimuli

185 results showed decreased inhibition-related neural activity in right anterior insula and right putam

186 We examined neural activity in SMA and primary motor cortex (M1) as

187 ble ones, results in faster reinstatement of neural activity in the anterior temporal lobe.

188 Here we show that increasing neural activity in the basolateral amygdala enhances bot

189 NMDARs in modulating emotional behaviors and neural activity in the bed nucleus of the stria terminal

190 ious studies have thus far relied on finding neural activity in the corresponding sensory cortices, n

191 Although experimental pain alters neural activity in the cortex, evidence of changes in ne

192 EAs) provide selectivity in the detection of neural activity in the cVN related to changes in systemi

193 determine how this is possible, we recorded neural activity in the hippocampus of rats navigating a

194 used linear multielectrode arrays to record neural activity in the MD and PFC simultaneously.

195 ble engagement of ACh-mediated modulation of neural activity in the MNTB.

196 Recording of neural activity in the mPFC during learning revealed cha

197 Neural activity in the pallidum goes awry in neurologic

198 We recorded neural activity in the PFC and HPC of the trisomic Ts65D

199 ell-type-specific genetic tools, we observed neural activity in the premotor nucleus HVC(2-4) as cana

200 frequency oscillations (HFOs) are bursts of neural activity in the range of 80 Hz or higher, recorde

201 influencing the hippocampus because rhythmic neural activity in the theta band is associated with hip

202 vertical lobes (VLs) to selectively inhibit neural activity in this region.

203 ltisensory integration can alter patterns of neural activity in time, and even coordinate activity am

204 3) Neural activity in V1 exhibits complex dynamics, includi

205 experimental observations of the dynamics of neural activity in V1.

206 a method called Hyperalignment that explored neural activity in ventral temporal cortex during object

207 ons not directly relevant to the task (e.g., neural activity in visual cortex predicting conscious pe

208 in developing powerful tools for visualizing neural activity, in general by coupling neural activity

209 ime through dynamically changing patterns of neural activity, including neural sequences, ramping act

210 enetic or optogenetic stimulations of LH MCH neural activity increase REM sleep after long-term withd

211 at infra-slow periodic patterns of concerted neural activity, indeed, reflect the idle state of acces

212 Using flies expressing neural activity indicators, we tracked visual responses

213 For neural activity, individual layer 2/3 pyramidal neurons

214 tated tau exhibit a selective suppression of neural activity-induced cerebral blood flow increases th

215 k to encode each sentence-length sequence of neural activity into an abstract representation, and the

216 es information accurately despite stochastic neural activity is a longstanding question(1).

217 Cortical neural activity is coupled to local arterial diameter an

218 Together, our results show that cortex-wide neural activity is highly dynamic but that these dynamic

219 IFICANCE STATEMENT A fundamental property of neural activity is that it is periodic, enabling functio

220 Electrophysiological neural activity is typically analyzed using canonically

221 ychedelics, increased entropy in spontaneous neural activity, is thought to be of relevance to the ps

222 ated with restored expression of key MSN and neural activity marker genes in the NAc.

223 Using the neural activity marker phospho-S6, we show increased gal

224 their effects on several attention-sensitive neural-activity measures.

225 , for the first time, whether reward-related neural activity moderated response to sertraline, an ant

226 minutes to hours, we observed no changes in neural activity, network oscillations, and synaptic tran

227 e CA1 of hippocampus in vivo to determine if neural activity, network oscillations, synaptic transmis

228 nts did not exhibit this temporal pattern of neural activity observed in controls this contrast.

229 POMC(ARH) neurons) associated with decreased neural activities of dopamine neurons in the ventral teg

230 Recording the neural activity of cells in the brain of patients with P

231 Specifically, we briefly disrupted the neural activity of EVC and LOC at early, intermediate, a

232 We measured neural activity of retinal axons using wide-field and tw

233 more complex behaviour is the result of the neural activity of those neural networks responsible for

234 Visualizing and perturbing neural activity on a brain-wide scale in model animals a

235 in control participants we observed enhanced neural activity over dorsal occipito-parietal cortices f

236 ope, we achieved rapid volumetric imaging of neural activity over the mesoscale with synaptic resolut

237 Neural activity pattern reinstatement in medial temporal

238 ompletion, or the ability to retrieve stable neural activity patterns from noisy or partial cues, is

239 periment uncovered supramodal spatiotemporal neural activity patterns predicting conscious perception

240 e or likelihood of incoming high-dimensional neural activity patterns.

241 Local M2 neural activity precedes local M1 activity, supporting t

242 (3), the effects of dopamine on larger-scale neural activity profiles are less well-understood.

243 onse patterns (i.e., what benefits does such neural activity provide in the context of detecting stim

244 function depends on neurovascular coupling: neural activity rapidly increases local blood flow to me

245 working memory and time encoding, we analyze neural activity recorded during delays in four experimen

246 sed the presence of both oscillations in the neural activity recorded from multi-electrode arrays in

247 ed with these constraints strongly resembled neural activity recorded from the grasping circuit durin

248 tics, behavioral assays, neural tracing, and neural activity-recording reveal novel functional roles

249 ct engagement of S1 and lateral OFC, with S1 neural activity reflecting initial task learning, wherea

250 cing GABAergic tone in rNTS reconfigures the neural activity reflecting sensation and movement.

251 cial influence of stimulation on hippocampal neural activity related to memory and supports the role

252 between such a spiking-band power (SBP) and neural activity remains unclear, as does the capability

253 Over days and weeks, neural activity representing an animal's position and mo

254 in this spatial selective listening task AC neural activity represents the sensory and decision info

255 thesis and demonstrated that seizure-induced neural activity results in enhanced translation levels i

256 Large-scale imaging of neural activity revealed that these dissociative agents

257 s are highly desired in applications such as neural-activity sensing, where the device area must be m

258 ve plasticity, when the specific patterns of neural activity shape the specific parameters of the eme

259 he relative contributions of the currents to neural activity so that neurons and networks undergo gra

260 Research suggests that neural activity spanning prefrontal, parietal, temporal,

261 To place a lower bound on the amount of neural activity that can be perceived, we used an all-op

262 cesses information requires the recording of neural activity that underlies different behaviors.

263 ion across blocks, and therefore patterns of neural activity that were less similar, when compared to

264 ns between neurons) can be used to stabilize neural activity, thereby maintaining BCI performance in

265 ch work has focused on the ability to modify neural activity through both local perturbations and cha

266 Cognition arises from the dynamic flow of neural activity through the brain.

267 During expert performance, we measured neural activity throughout cortex using widefield imagin

268 y characterize the rich temporal patterns of neural activity throughout the human brain.

269 attention controls the phase of oscillatory neural activities to efficiently process relevant inform

270 Additionally, VoS-modulated neural activity to a greater extent than grasping force.

271 neural inactivation are valuable for linking neural activity to behavior but they have serious limita

272 zing neural activity, in general by coupling neural activity to different properties of a fluorescent

273 e found that the contribution of preparatory neural activity to movement duration (MD) variability is

274 age, by measuring cerebral haemodynamics and neural activity to physiological sensory stimulations.

275 s and tissues, but also a process engaged by neural activity to regulate synaptic vesicle pools for o

276 neuroscience is, How can we use behavior and neural activity to understand this internal model and it

277 To continuously process neural activity underlying sensation, movement and cogni

278 tic or pharmocological modulation of overall neural activity up or down caused corresponding increase

279 Such label-free optical monitoring of neural activity using fast interferometry may be applica

280 ch type of surprise to a distinct pattern of neural activity using functional magnetic resonance imag

281 pcoming moving dot patterns, while recording neural activity using magnetoencephalography (MEG).

282 ter closely examining behavior and recording neural activity using MEG while observers (male and fema

283 unt that encompasses measures of large-scale neural activity, variability, and correlations during re

284 which corticothalamic and thalamo-accumbens neural activity was altered using chemogenetics.

285 While neural activity was recorded from sensorimotor cortex, t

286 Distinct neural activity was recorded on electrodes separated by

287 ged using beamforming, and peak task-related neural activity was subjected to dynamic functional conn

288 ha disruption and changes in value-modulated neural activity, we reveal potential neural substrates f

289 rast, spatially disorganized fluctuations of neural activity were much less predictive.

290 and a first attempt to analyze and classify neural activity when restoring sensory perception to amp

291 Sensory signals give rise to patterns of neural activity, which the brain uses to infer propertie

292 on (PSID), which is an algorithm that models neural activity while dissociating and prioritizing its

293 that feedback connections may instead induce neural activities whose differences can be used to local

294 During a seizure, neural activity will deviate from its current dynamical

295 beling technique and real-time monitoring of neural activity with fiber photometry, we find that medi

296 ction of visual moving dots, while recording neural activity with millisecond resolution using magnet

297 uture that involves recording and modulating neural activity with such systems, including those that

298 impaired at 0.015% BAC, suggesting impaired neural activity within brain regions associated with the

299 Neural activity within human (5 male and 1 female) SC pe

300 t direct and chronic in vivo measurements of neural activity within tumors.

301 than being dependent on an unbroken chain of neural activity, working memory may rely on transient ch