ライフサイエンスコーパス: frequency band

1 n infants between 9 and 25 weeks in the beta frequency band.

2 cement when attending to the least-preferred frequency band.

3 s of a sniff, and maximally within the theta frequency band.

4 y motor EEG activity to dominate in the beta frequency band.

5 ancing thalamocortical communication in this frequency band.

6 ssment revealed no prominent increase at any frequency band.

7 al field potential oscillations in the alpha frequency band.

8 d activity and loss of bursts in the spindle frequency band.

9 d can be opposite in nature depending on the frequency band.

10 of the incident intensity) across a 3.1 GHz frequency band.

11 hronized firing of cortical neurons in gamma-frequency band.

12 es were weighted by their coherence within a frequency band.

13 y, demonstrating a perceptual tuning to this frequency band.

14 mproved scattering parameters in the desired frequency band.

15 nectivity) between brain regions in the same frequency band.

16 perception emerged specifically in the alpha frequency band.

17 analysis of the measured spectra over a wide frequency band.

18 es and evanescence are observed outside this frequency band.

19 orithm requires no a priori specification of frequency bands.

20 bregions of the same ICN were different at 2 frequency bands.

21 tionally distinct roles with other ICNs at 2 frequency bands.

22 patient's surgical outcome, among all other frequency bands.

23 each ICN had a different ICN efficiency at 2 frequency bands.

24 Instead, BBA consists of at least two frequency bands.

25 e a very high aperture efficiency across two frequency bands.

26 erence (ITPC) measure for the theta and beta frequency bands.

27 n different regions is reflected in distinct frequency bands.

28 and motor preparation in the alpha and beta frequency bands.

29 s spatial organization was shared across all frequency bands.

30 ic elastic wave transmission in multiple low frequency bands.

31 ode phase synchronization across several LFP frequency bands.

32 osaic of spectral interrelationships between frequency bands.

33 coherence within theta and beta oscillatory frequency bands.

34 ntly in the delta-, alpha-, beta-, and gamma-frequency bands.

35 en all electrode combinations for difference frequency bands.

36 ct time scales in the theta, beta, and gamma frequency bands.

37 arily intrinsic in nature) and shared across frequency bands.

38 wer spectrum analyses in pre-established low-frequency bands.

39 istinct peaks in the theta, alpha, and gamma frequency bands.

40 supported by lateralised networks from fast-frequency bands.

41 nnabis use, or IQ, and is not found in other frequency bands.

42 stronger when integrating oscillations over frequency bands.

43 ted to I.Q. especially in the alpha and beta frequency bands.

44 neural phase in the delta, theta, and alpha frequency bands.

45 to the methyl carbons, resonate in distinct frequency bands.

46 ts in different functional brain systems and frequency bands.

47 rtex, and medial temporal areas in different frequency bands.

48 ross cortical networks and spanning multiple frequency bands.

49 ilure via oscillatory synchrony in different frequency bands.

50 ctivity between muscles at multiple distinct frequency bands.

51 nd rIFC was found in both the alpha and beta frequency bands.

52 n in the alpha (8-14 Hz) and beta (15-30 Hz) frequency bands.

53 een the DHPC-Amyg and Fctx-DHPC in the theta frequency bands.

54 tween AHI and the absolute values of the EEG frequency bands.

55 underlying the power modulations in specific frequency bands.

56 omenon relates to neuronal activity in other frequency bands.

57 ivity are less clear, especially in specific frequency bands.

58 importance of interactions between different frequency bands.

59 -making, and observed in several interacting frequency bands.

60 y neural oscillations with function-specific frequency bands.

61 found frequency shifts within SO and spindle frequency bands.

62 gned to quantify these dynamics from key EEG frequency bands.

63 ifficulty, only in AG-ANT muscles in the low frequency band (0-5 Hz), reflecting subcortical inputs a

64 atients revealed loss of power in the slow-5 frequency band (0.01 to 0.027 Hz) which developed only i

65 tly reduced hemodynamic coherence in the low-frequency band (0.08-0.15 Hz) for oxygenated hemoglobin

66 e in dynamic CA studies, and that the higher frequency band (0.20-0.40 Hz), in particular, does not c

67 r frequency band (2-12 Hz), while at a lower frequency band (0.5-2 Hz) the coherence reaches its maxi

68 lculated and divided into the following four frequency bands: 0.01-0.027 Hz, 0.027-0.073 Hz, 0.073-0.

69 ifically, we observe sensitivity to multiple frequency bands (1) at exactly one octave distance from

70 nning temporal window) across four different frequency bands (1, 2, 4, and 6 kHz).

71 We found that power decreases in the alpha frequency band (10-12 Hz) systematically track different

72 Neural oscillatory power in the alpha frequency band (~10 Hz) has been implicated in the selec

73 ments are accompanied by changes in the beta-frequency band (15-29 Hz) of electroencephalogram (EEG).

74 rominent field potential changes in the beta-frequency band (15-29 Hz): in trial-averages, movement i

75 l inputs and only in AG-AG group in the high frequency band (16-40 Hz), reflecting corticospinal inpu

76 h coherence during tau interval in a broader frequency band (2-12 Hz), while at a lower frequency ban

77 copious radio pulses in the 30-300-megahertz frequency band(2-8) that can be remotely sensed and imag

78 preferentially synchronized in the high beta frequency band (~20-30 Hz) in response to somatosensory

79 BCs primarily occurred within the low gamma frequency band (25-50 Hz).

80 object appearance in delta, theta, and alpha frequency bands (3-13 Hz).

81 Furthermore, LFP oscillations in the gamma frequency band (30-80 Hz) are amplitude modulated in pha

82 ound that neuronal oscillations in the gamma frequency band (30-80 Hz) were preferentially disrupted

83 cortical neuronal oscillations in the gamma frequency band (30-80 Hz, gamma oscillations) have been

84 is preferentially synchronized in the alpha frequency band (~7-12 Hz) in response to auditory stimul

85 ent response component within the high gamma frequency band (75-150 Hz) was identified.

86 5 degrees, multispectral images across the X frequency band (8 GHz-12 GHz), and a time resolution of

87 e spatial distribution of power in the alpha frequency band (8-12 Hz) can be used to decode the conte

88 ce of oscillation-based FC in five canonical frequency bands across an array of six task states.

89 on the temporal pattern of hippocampal high-frequency band activity in single hippocampal contacts.

90 rmance.SIGNIFICANCE STATEMENT Bursts of beta frequency band activity in the basal ganglia are associa

91 Bursts of beta frequency band activity in the basal ganglia of patients

92 ce on choice, whereas power in task-specific frequency bands affected the encoding of sensory evidenc

93 enhance theta rhythm and suppress peri-theta frequency bands, allowing theta oscillations to dominate

94 he degree of behavioral modulation by either frequency band alone.

95 r patterns of information flow in the higher-frequency bands (alpha1, alpha2, and beta band), dominat

96 Besides traditional frequency-band analysis, we also presented a new individ

97 in a single oscillon that occupies the theta-frequency band and a couple of gamma-oscillons that corr

98 omagnetic fields is not confined to a narrow frequency band and birds tested far from sources of elec

99 was observed specifically in the 20-40-hertz frequency band and specifically between the distal part

100 ynamic reconfiguration of the metamaterial's frequency band and wave impedance.

101 vity abnormalities in ASD were the mediating frequency band and whether the network included frontal

102 e roles of cortical entrainment in different frequency bands and at different temporal lags for speec

103 e identified significant interaction between frequency bands and groups in the inferior occipital gyr

104 on of resting-state oscillations in multiple frequency bands and in the timing-error sequences.

105 We examined reinstatement in individual frequency bands and individual electrodes and found that

106 ffer from normal oscillations in overlapping frequency bands and potentially perturb hippocampal proc

107 activity across theta, alpha, beta and gamma frequency bands and show that their activation likely im

108 easures correlated with ASD severity in some frequency bands and spatially specific subnetworks.

109 ectively, which is superior to that of other frequency bands and standard dipole fitting methods.

110 ffects in terms of the perceptually relevant frequency bands and state parameters (phase/power).

111 increased neuronal synchrony across several frequency bands and the emergence of theta-gamma couplin

112 tivity is known to oscillate within discrete frequency bands and the interplay between these brain rh

113 The spectral power in the different frequency bands and the ripple rates were then compared

114 Oscillatory activities across multiple frequency bands and their cross-frequency interactions w

115 significantly by 1.5-fold across the entire frequency band, and phase shifted ~5 degrees at frequenc

116 therapy owing to its tight focal spot, broad frequency band, and stable excitation with minimal ultra

117 ting devices usually occurs only in a narrow frequency band, and the asymmetric frequencies are alway

118 ask-relevant information in different neural frequency bands, and found that the high-gamma band cont

119 s transient bursts in distinct high- and low-frequency bands, and it is not yet clear how these burst

120 hese mechanisms are implemented in the theta frequency band; and (2) contextual knowledge can indeed

121 zed by excessive synchronization in the beta frequency band ( approximately 20Hz) throughout basal ga

122 Oscillations in the alpha-frequency band are a predominant feature of human brain

123 sted that neuronal oscillations at different frequency bands are associated with top-down cognitive c

124 graded activation profiles evoked by single-frequency bands are correlated with attentionally driven

125 f durations whose incidence falls within the frequency band associated with oscillations in neural ac

126 gnals are similar and differ only in a small frequency band at 2 kHz present in the chirping species.

127 another and with instrumental records in the frequency bands at which they overlap.

128 40 mg) on NMDAR engagement measured by gamma-frequency band auditory steady-state response (40 Hz ASS

129 ions used for imaging and analysis (0.1-1 Hz frequency band), autofluorescence and hemodynamic effect

130 rk, we implement such a profile over a broad frequency band based on a novel idea of space-frequency

131 , we show coherent oscillations in the delta frequency band between parietal and frontal cortices dur

132 In both, pure optical rotation occurs in a frequency band between two transmission minima, where al

133 ower spectral density values of standard EEG frequency bands between the SS (n = 42) and OSA (n = 129

134 stence of Ferrell-Berreman (FB) modes within frequency bands bounded by points of ZGV with the goal t

135 ivity patterns in ASD are driven by specific frequency bands, by spatial network properties, or by so

136 investigated whether modulations in specific frequency bands can be dissociated in time and space and

137 ansmitting/receiving pair, different spatial frequency bands can be separated and projected to the fa

138 All of these frequency bands can be theoretically predicted to realiz

139 For a 100 MHz frequency band centered about 890-920 MHz, the maximum Y

140 ization of neuronal oscillations in specific frequency bands coordinates anatomically distributed neu

141 ctroencephalogram (EEG) changes in the theta-frequency band correlated with inferior communication pe

142 ining the neuronal correlate of specific HFO frequency bands could improve electroencephalographic an

143 served spectral patterns among the canonical frequency bands (delta 0-3 Hz, theta 3-7 Hz, alpha 7-13

144 e examined brain activity in three different frequency bands: delta, theta, and alpha.

145 hese interactions occurred in beta and gamma frequency bands depending on the area contributing the s

146 The various frequency bands determine the dynamic gating regimes ena

147 physiological oscillatory activity within a frequency band dictated by the rhythm of the stimulation

148 on the DPX task and in activity in the gamma frequency band during key periods of the task designed t

149 zation at a 3-9 Hz theta and a 12-30 Hz beta frequency band during the delay and preparation periods

150 nsiently enhanced and suppressed in separate frequency bands during a response-inhibition task.

151 nd primary sensory neocortex occurs in these frequency bands during inattention.

152 eural oscillations in the cortex at specific frequency bands during propofol-induced anaesthesia and

153 mal to center fundamental tones at different frequency bands during the call series.

154 zero (ENZ) behavior in the telecommunication frequency band enabling both strong index modulation and

155 w that cortical speech tracking in the theta frequency band encodes mostly speech clarity, and thus a

156 Neural-phase effects were specific to the frequency bands entrained by the rhythmic stimulation.

157 dicity of phase gradient, we can expand this frequency band even further without losing efficiency.

158 ipal components analysis derived data-driven frequency bands evoked power.

159 avioral comodulation by neural phase in both frequency bands exceeded the degree of behavioral modula

160 e global and highly coherent; moreover, this frequency band exhibited a striking increase in anterior

161 ecoders with downsampling or a wide range of frequency band features could not only improve decoder p

162 Downsampling and the inclusion of other frequency band features yielded overall improvement in p

163 (2) when downsampling data, (3) of different frequency band features.

164 d by stronger oscillatory power in the gamma frequency band for face vs. vase reports.

165 The lens can work within a certain frequency band for which the ratio between the bandwidth

166 arrival (DoA) estimation in millimetre-wave frequency bands for 5G and beyond.

167 This suggests that frequency bands for characterizing cerebral autoregulati

168 nnectivity both within and between classical frequency bands ([Formula: see text], [Formula: see text

169 The thermal (emitted) infrared frequency bands, from 20-40 THz and 60-100 THz, are best

170 display functional interactions in the lower frequency bands, gamma-band activity in the alert monkey

171 ds via an electrically tunable subwavelength-frequency band gap.

172 dimensions and material parameters to create frequency band gaps are examined.

173 that supports the formation of wide and low-frequency band gaps, while simultaneously reducing their

174 erturbative theoretical model predicting the frequency band-gaps of periodic plates with sinusoidal c

175 ased after eye-opening, especially in higher frequency bands (>30 Hz).

176 This frequency band has been recorded in functionally and neu

177 Rhythmic neuronal activity of multiple frequency bands has been described in many brain areas a

178 behaves as a 'high-pass' filter, recommended frequency bands have been largely arbitrarily determined

179 Various forms of neural synchrony across frequency bands have been suggested as the mechanism und

180 ucleus, with those drives in the higher beta frequency band having much shorter net delays to subthal

181 ortical response strength as indexed by high-frequency band (HFB) activity (70-150 Hz) amplitude reve

182 w alpha, 6-9 Hz) and lower power in a higher frequency band (high alpha, 9-12 Hz).

183 cortical activity is well-indexed by higher-frequency bands [high-gamma band (Hgamma): 80-150 Hz].

184 e suboptimal for in vivo characterization of frequency bands higher than 1-3 Hz.

185 RSP) were significantly reduced at the gamma frequency band in Fmr1-KO rats.

186 tions of brain oscillations in the EEG alpha frequency band in posterior cortex can dissociate curren

187 ad higher neuronal oscillations in the delta frequency band in the 100 Schizophrenia patients as comp

188 sed functional connectivity within the gamma frequency band in the motor network within paedatric bra

189 reased functional connectivity for the alpha frequency band in the ventral attention network and decr

190 ociated with cognitive deficits in different frequency bands in 25 PP-MS patients (12 M, mean age 50.

191 ntracranial current density for standard EEG frequency bands in 82 unmedicated adults with MDD, using

192 connectivity and variability across multiple frequency bands in brain networks underlying cognitive d

193 Oscillations are observed at various frequency bands in continuous-valued neural recordings l

194 (1) increased ERO energy in delta and theta frequency bands in Fctx, (2) reduced gamma ERO energy in

195 atory activity in the low-beta and low-gamma frequency bands in sensory detection, perception, and re

196 ssociated with increased activity in the low-frequency bands in the electroencephalogram (EEG).

197 It has been suggested that different frequency bands index distinct canonical computations.

198 area under the curve of 0.76, whereas other frequency bands indicate a poor predictive performance.

199 G-AG compared to AG-ANT muscles in all three frequency bands, indicating a predilection for functiona

200 We find that cortical tracking in the theta frequency band is mainly correlated to clarity, whereas

201 pagation of sensory information use distinct frequency bands is an appealing assumption for which evi

202 thin the alpha (8-12 Hz) and beta (15-25 Hz) frequency bands is modulated during actual and imagined

203 The functional significance of these frequency bands is supported by the variation in the str

204 erfect synchronization, observed in the beta frequency band, is believed to be related to the hypokin

205 We used 14 ICNs and determined 2 frequency bands (LF1, 0.03~0.08 Hz and LF2, 0.009~0.012

206 SOM cell spiking reduces the spontaneous low-frequency band (<30-Hz) oscillations and selectively red

207 across a wide range of connectivity gain and frequency bands, making phase-locked states more resilie

208 ions, the envelope, after decomposition into frequency bands, may be enhanced by sparse transformatio

209 ng working memory (WM), specific oscillatory frequency bands modulate in space and time.

210 in malignant musculoskeletal tumours at the frequency band of 0.073-0.198 Hz.

211 0.9; p = 0.02) and relative power of a high frequency band of heart rate variability (adjusted odds

212 Change in the high-frequency band of heart rate variability, an estimate of

213 al sector was carried primarily in the theta frequency band of the response.

214 king masker energy is added well outside the frequency band of the target, and comodulated with the o

215 ence avoiding the need to predefine specific frequency bands of interest or phase relationships betwe

216 This suggests that frequency bands of interest should be redefined and reco

217 les of resting state coherences of different frequency bands of LFP signals, with high resolution res

218 r, the dependence of FC metrics on different frequency bands of local field potentials (LFPs), and th

219 k speed of 2.45 GHz to satisfy the principal frequency bands of smart phones such as those for cellul

220 esponses and the amplitude and power in most frequency bands of the evoked LFPs and reduced the rostr

221 piking to 3-7 Hz (theta) and 12-20 Hz (beta) frequency bands of the local field potential (LFP).

222 the dorsal and ventral pathway, the distinct frequency bands of these inputs can be leveraged to pres

223 ptually related groups of variables, such as frequency bands or regions of interest in electroencepha

224 Whilst exaggerated bursts of beta frequency band oscillatory synchronization in the subtha

225 We found deviance-related responses in both frequency bands over lateral temporal and inferior front

226 nce of strong signal power increases in some frequency bands over the course of sleep deprivation may

227 Brain oscillations across all frequency bands play a key role for memory formation.

228 t that the oscillatory activity in the alpha frequency band plays a central role in the active storag

229 al and expected picture interval in the high-frequency band predicted picture-naming latencies.

230 hippocampus we found more power in the high-frequency band prior to high-expected pictures than weak

231 twork interactions, activity in this excited frequency band propagates to nearby regions.

232 EMG-EMG coherence in the beta and gamma frequency bands recorded from tibialis anterior muscle i

233 input to motor neurons is shared across all frequency bands, reflecting cortical and spinal inputs a

234 Therefore, the HFO frequency band reflects a range of firing dynamics of hi

235 studied via echo revivals, occurs in narrow-frequency bands related to differences in Larmor precess

236 RP was calculated from the power of four EEG frequency bands relative to each other, ranging from ful

237 amplitudes, in the approximately 150-200 Hz frequency band, reliably reflect spatial constellations

238 lish in male and female listeners that human frequency-band-selective attention drives activation in

239 Chorus typically occurs in two distinct frequency bands separated by a gap.

240 nstrate that brain oscillations in different frequency bands serve different functions for memory enc

241 bility, within and across multiple entrained frequency bands, shapes the effective neural processing

242 variability of F(upLim) suggests that fixed frequency bands should not be adopted for averaging valu

243 variability in F(upLim) suggests that fixed frequency bands should not be adopted for averaging valu

244 udy, we investigated whether these different frequency bands show a differential relation with the la

245 of corticomuscular coherence in the 20-40 Hz frequency band showed a significantly larger coherence f

246 Brain activity in the delta, alpha, and beta frequency bands showed causal relation to hand movements

247 ower in the mu (8-15 Hz) and beta (16-30 Hz) frequency bands showed high accuracy in discriminating a

248 in the alpha, and even more so, in the beta frequency band significantly compromised the prediction

249 The exploratory SWRs showed peak frequency bands similar to those of quiescent SWRs, and

250 P phase and amplitude was independent within frequency bands, since the joint information exhibited n

251 d significantly greater power in the highest frequency band (slow-3: 0.073-0.198 Hz) after ingestion

252 neous neural activity in the three different frequency bands (slow-5:0.01-0.027 Hz; slow-4:0.027-0.08

253 detect gaps depended on different numbers of frequency bands--sometimes one, sometimes two, and somet

254 As 2D device has been measured over the wide frequency band spanning from 30 to 330 GHz simultaneousl

255 e recorded in real time at both PALS in four frequency bands spanning 0.172-20 kHz after K. brevis ce

256 th, fine motor skills, and synergies and was frequency band specific.

257 e Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical net

258 nnections was temporally independent between frequency bands, suggesting a putative mechanism for mal

259 ation between delta, theta, alpha1 and gamma frequency bands that is significantly stronger in the ti

260 Changes in the number of frequency bands that predict perception are a hallmark o

261 raction-dependent distributions of energy in frequency bands that span the range of vibrotactile sens

262 n face and the brain (in addition to the EEG frequency bands) that are most representative of affecti

263 Unlike coherence in the higher frequency bands, the distribution of the phase at peak t

264 onveyed only by the speech ENVs from several frequency bands; the speech TFS within each band was rep

265 e LFP phase coupling was decreased for lower frequency bands (theta and alpha) but slightly increased

266 , based on relatively greater power in lower frequency bands (theta, 4-6 Hz, and low alpha, 6-9 Hz) a

267 leptiform spikes, the relative power of five frequency bands (theta, alpha, beta, low gamma, and high

268 ith distinct endogenous oscillatory activity frequency bands: theta (~3-8 Hz) versus beta (~13-30 Hz)

269 text] Fiji deep earthquake in the 0.01-1 Hz frequency band, though waveform fidelity is low at high

270 nd sequential firing of neurons at different frequency bands through the cycle.

271 weighted spectral analysis across different frequency bands to estimate source elevation.

272 that neural activity in the delta and theta frequency bands track the rhythm of speech, but the role

273 orary research indicates that the alpha-beta frequency band underlies top-down control, whereas the g

274 le (125-250 Hz) and fast ripple (250-500 Hz) frequency bands using intracranial recordings from 12 pa

275 We achieve tuning of individual frequency bands using magnetic reed switches connected i

276 rom tibialis anterior muscle in the 20-40 Hz frequency band was also significantly larger for the 9-2

277 The spectral power in each channel and frequency band was computed during STW and non-STW contr

278 s period, the oscillatory phase in the theta frequency band was informative about both task processin

279 -100 Hz), while the power of this same broad frequency band was suppressed within the thalamus.

280 retrieval this difference in timing between frequency bands was absent.

281 is end, functional connectivity in different frequency bands was assessed with phase locking value in

282 We found that ERD within both frequency bands was consistently stronger, arose faster,

283 illatory activity within the delta and theta frequency bands was found to correlate with the peak of

284 tegrated across the diurnal and semi-diurnal frequency bands was greatest near the Midriff Islands in

285 oscillations in the delta, theta, and gamma frequency bands, we compared the D1- and D2-dopamine-rec

286 Across all frequency bands, we find significant increases in struct

287 Based on connectivity within canonical frequency bands, we found that patient networks had redu

288 interrupted, and asynchronously interrupted frequency bands were constructed that constituted speech

289 oad distributions of best ITDs within narrow frequency bands were not consistent with an optimal codi

290 In addition, all frequency bands were significantly different between NRE

291 t role for synchronous activity in the delta frequency band when large-scale, distant cortical networ

292 by cortical activity in the delta and theta frequency bands, which have been found to track the spee

293 otential oscillations in the theta and gamma frequency bands, which in wild-type mice are tightly lin

294 x to integrative frontal areas in the higher-frequency bands, which is mirrored by a theta band anter

295 amplified local neural synchrony in the beta frequency band while others either suppressed it or did

296 eing reduced from ~90% to <10% over a narrow frequency band with a continuous wave excitation intensi

297 ANOVA was conducted for each frequency band with the following two factors: the locat

298 oscillations in both the 3.1-Hz and 5.075-Hz frequency bands, with the best performance occurring whe

299 d functional connectivity for theta and beta frequency bands within the cerebellar network and increa

300 typically analyzed using canonically defined frequency bands, without consideration of the aperiodic