ライフサイエンスコーパス: bold

1 pha-power to both deep and superficial layer BOLD.

2 ses tested naltrexone-induced differences in BOLD activation and functional connectivity during cue p

3 l (BPND) in the DLPFC following amphetamine, BOLD activation during the self-ordered working memory t

4 uster-corrected analysis was used to compare BOLD activation for main effects of the PS, ED, and thei

5 d a significant association between BPND and BOLD activation in the DLPFC in the overall sample inclu

6 ated in the left hemisphere with ipsilateral BOLD activation in the insula only; and in the right hem

7 For example, orientation can be decoded from BOLD activation patterns in human V1, even though orient

8 PI patients showed higher BOLD activation to SS in the precentral, prefrontal, fus

9 patial relationships between stimulus-evoked BOLD activations and local correlations of BOLD signals

10 We examined whether BOLD activity associated with a deletion variant of the

11 tional magnetic resonance imaging to measure BOLD activity at precisely defined receptive field locat

12 We find that diminished BOLD activity in mesolimbic (ventral striatal and midbra

13 lated to heightened prediction error-related BOLD activity in the hippocampus and to stronger functio

14 I pattern similarity analyses, we found that BOLD activity in the OFC is best explained as representi

15 ormance enhancements correlated with changed BOLD activity in the stimulated M1.

16 the cue-specific decaying learning rate and BOLD activity in the ventral caudate.

17 ined neurophysiological events to a specific BOLD activity pattern and were confirmed for ongoing slo

18 an fMRI by tracking changes in item-specific BOLD activity patterns in the hippocampus, a key structu

19 erved an unexpected and remarkable switch of BOLD activity within a right lateralized set of brain re

20 Observed relationships among D1 BP, BOLD activity, and face-recognition performance further

21 adband power were positively correlated, the BOLD amplitude and alpha power (8-13 Hz) were negatively

22 matching in three ways: across stimuli, the BOLD amplitude and ECoG broadband power were positively

23 8-13 Hz) were negatively correlated, and the BOLD amplitude and narrowband gamma power (30-80 Hz) wer

24 on of a stimulus leads to a reduction in the BOLD amplitude.

25 power is negatively correlated to deep layer BOLD and alpha-power to both deep and superficial layer

26 activation of VTA dopamine neurons increased BOLD and CBVw fMRI signals in VTA-innervated limbic regi

27 y measuring global hemodynamic changes using BOLD and cerebral blood volume-weighted (CBVw) fMRI.

28 dditional complementary correlations between BOLD and DCE-MRI and with histopathologic hypoxia marker

29 model accounts for the relationship between BOLD and ECoG data from human visual cortex in V1, V2, a

30 BOLD and FAIR MRI revealed gradually impaired VR to carb

31 n the tide of biodiversity loss will require bold and innovative action to transform historical relat

32 nd that the point spread functions (PSFs) of BOLD and LFP responses were comparable in the stimulus c

33 y in the dorsomedial frontal cortex (pre-SMA BOLD and mediofrontal theta in EEG).

34 Cohort B: 9 patients had BOLD and MRA data.

35 onents to blood oxygenation level-dependent (BOLD) and cerebral blood volume (CBV) fMRI signal.

36 is methods for blood-oxygen-level-dependent (BOLD) and cerebral-blood-volume (CBV)-based laminar fMRI

37 ange-change relations between AMPH-driven SD(BOLD) and reaction time means (RT(mean)) and SDs (RT(SD)

38 To test this, we measured NBG, BOLD, and cerebral blood flow responses to stimuli that

39 tradict results obtained with a quantitative BOLD approach.

40 We suggest that bold approaches to drug development, harnessing the adap

41 e field potential that are uncorrelated with BOLD arise largely from changes in synchrony, rather tha

42 Barcroft's bold assertion that everyone at high altitude has physic

43 ium-enhancing T1 lesion counts from the last BOLD assessment were sustained in the 10-mg, 2-mg, 1.25-

44 state correlations for both high-resolution BOLD at 9.4 T and local field potentials (LFPs), using 9

45 This dose-blinded extension of the phase 2 BOLD (BAF312 on MRI Lesion Given Once Daily) Study in re

46 His inferences were bold, because no close ethnographic analogues were known

47 8.8; p=0.032) and symptomatic carriers (mean BOLD change 0.4% [SD 0.1], mean difference -0.9%, 95% CI

48 occipital lobe in both presymptomatic (mean BOLD change 1.1% [SD 0.5], mean difference -0.4% change,

49 Discordant) of Blood Oxygen Level-Dependent (BOLD) change in the TL overlapping with the surgical res

50 BOLD changes after CBT-I in patients were also examined.

51 n Adelta-fibers is particularly retrieved in BOLD changes due to dynamic temperature changes and less

52 The presence of significant BOLD changes in the area of resection on interictal EEG-

53 Our studies challenge any bold claim against penetrability of perception and sugge

54 This study sought to develop BOLD-CMR as an objective, reliable clinical tool for mea

55 biopsies (n = 28), obtained at the level of BOLD-CMR measurement and from healthy proximal muscle of

56 BOLD-CMR showed promise as a reliable tool for assessing

57 BOLD-CMR was used to assess changes in perfusion followi

58 dependent cardiovascular magnetic resonance (BOLD-CMR) to assess perfusion in the lower limb has been

59 ts that can ensure robust implementation and bold collective action.

60 time-resolved blood oxygen level dependent (BOLD) connectivity within individual scanning sessions a

61 Although fMRI using the BOLD contrast is widely used for noninvasively mapping h

62 BOLD contrast values for high-ED cues compared with low-

63 Secondary analyses were used to associate BOLD contrast values with appetitive traits and laborato

64 imulating blood oxygenation level dependent (BOLD) contrast effects in functional magnetic resonance

65 ) based on the blood oxygen level dependent (BOLD) contrast has gained a prominent position in neuros

66 The blood oxygenation level-dependent (BOLD) contrast is widely used in functional magnetic res

67 slow calcium waves, revealing a cortex-wide BOLD correlate: the entire cortex was engaged in this sp

68 eceptive field organization of resting-state BOLD data in normally sighted, early blind, and anophtha

69 cance statement: Evidence from resting-state BOLD data suggests that the connections between early vi

70 Cohort A: 31 patients had MRA, DSC-PWI and BOLD data.

71 eproduced in detail the experimental NBG and BOLD data.

72 (rs-fMRI) blood oxygenation level-dependent (BOLD) data in detecting hypoperfusion of subacute stroke

73 A barcode reference library was developed in BOLD database platform for candidate barcodes rbcL, matK

74 By combining EEG with BOLD-derived estimates of hippocampal connectivity durin

75 ive association between psychosis RPS and VS BOLD during reward anticipation at all 4 psychosis RPS m

76 ological recordings and, independently, with BOLD effects in a network including the hippocampus and

77 -mMRA and blood oxygenation level-dependent (BOLD)/flow-sensitive alternating inversion recovery (FAI

78 BOLD fluctuations at 0.073-0.198 Hz were stronger in the

79 racterized the blood oxygen level-dependent (BOLD) fluctuations in benign and malignant musculoskelet

80 A region of interest BOLD fMRI protocol was used to investigate the diurnal w

81 In the other two subjects, we measured BOLD fMRI responses across the entire brain.

82 Here, we measured BOLD fMRI responses to spectral modulations that separat

83 c activity markedly reduced the magnitude of BOLD fMRI responses triggered in the SSFP region by fore

84 udy, we demonstrated that fractal scaling of BOLD fMRI signal is consistently suppressed for differen

85 expressed by positive and negative shifts in BOLD fMRI signal.

86 rovascular coupling underlying generation of BOLD fMRI signals remain incompletely understood.

87 underlying neuronal activity that generates BOLD fMRI signals.

88 ng plays a significant role in generation of BOLD fMRI signals.

89 thods: the conventional approach of filtered BOLD fMRI time-series, and two analytic components of th

90 Using BOLD fMRI, we show that the natural statistics of human

91 sk and a resting-state acquisition during 3T BOLD fMRI.

92 lysis of simultaneously acquired whole-brain BOLD fMRI.

93 Although blood oxygenation level-dependent (BOLD) fMRI has been widely used to map brain responses t

94 ask during two blood-oxygen-level dependent (BOLD) fMRI sessions following 3 days of naltrexone (50 m

95 negative Blood Oxygenation Level Dependent (BOLD) fMRI signals in the cerebral cortex under normal p

96 atosensory cortex to the human cortex, where BOLD-fMRI reveals numerous functional borders.

97 he impact of these findings on understanding BOLD-fMRI signals.

98 blood oxygen level-dependent-functional MRI (BOLD-fMRI)-based neurofeedback reveal that participants

99 Conclusion BOLD functional MR imaging activation in the ipsilateral

100 The blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signa

101 false-negative blood oxygen level-dependent (BOLD) functional MR imaging activation can limit the acc

102 ate brain blood oxygenation level-dependent (BOLD) images were acquired at 4.7 T.

103 opulation responses, typically measured with BOLD imaging in humans, as linear sums of groups of neur

104 participants rested in the MRI scanner (TMS/BOLD imaging).

105 ignals in blood-oxygenation-level-dependent (BOLD) imaging are used to parcellate brain regions and d

106 Blood oxygen level-dependent (BOLD) imaging experiments in humans support the idea tha

107 nputs to visual cortex will increase NBG and BOLD in a similar manner, whereas stimuli that increase

108 an association between psychosis RPS and VS BOLD in adolescents.

109 emoglobin concentration changes and the fMRI BOLD in brain areas associated with speech comprehension

110 assessed with blood oxygen level dependency (BOLD) in the VS using the monetary incentive delay (MID)

111 evel-dependent (BOLD) signal variability (SD(BOLD)) in younger and older adults during a working memo

112 Although stronger load-related BOLD increase in superior IPS was related to lower incre

113 viduals most at risk of predation (large and bold individuals) showed the most exaggerated responses

114 rk suggests that the intrinsic resolution of BOLD is not a limiting feature in practice and approache

115 placebo, but met or exceeded young adult SD(BOLD) levels in the presence of AMPH.

116 n-enhanced and blood oxygen level-dependent (BOLD) magnetic resonance (MR) imaging parameters in norm

117 multivariate analysis showed that Concordant BOLD maps were independently related to good surgical ou

118 t RPEs are tracked in the striatum; however, BOLD measurements cannot be used to infer the action of

119 abeling (ASL), blood oxygen level-dependent (BOLD) measures, and magnetoencephalography (MEG), implem

120 o map the superior temporal sulcus (STS) for BOLD modulation associated with visually guided eye move

121 rbogen-based functional imaging with PAI and BOLD MR imaging enables monitoring of early changes in t

122 between the parameters measured with PAI and BOLD MR imaging in vitro.

123 Conclusion The results suggest that BOLD MR imaging may potentially be used to monitor renal

124 BOLD MR imaging was performed in donors before uninephre

125 PAI and T2-weighted spin-echo-based BOLD MR imaging were performed to assess tumor response

126 ir corresponding recipients underwent kidney BOLD MR imaging with a 3-T imager.

127 by using blood oxygenation level-dependent (BOLD) MR imaging.

128 BOLD MRI and T1-weighted imaging (T1WI) were collected f

129 signatures that underpin such choices, using BOLD MRI neuroimaging data.

130 In-utero BOLD MRI time series were acquired at 29 to 34 weeks ges

131 This study demonstrates the potential of BOLD MRI with maternal hyperoxia to quantify regional pl

132 se to use Blood-Oxygenation-Level-Dependent (BOLD) MRI with maternal hyperoxia to quantitatively asse

133 eflects the magnitude of local low-frequency BOLD oscillations, rather than interregional connectivit

134 ablish the functional relevance of intrinsic BOLD oscillatory power alterations with respect to speci

135 toms, decreased left DLPFC and increased PCC BOLD percent signal change (abstinence vs smoking satiet

136 tropy (FA) and blood oxygen level-dependent (BOLD) percent signal change (PSC) were measured with dif

137 history trajectory to display more active or bold personalities than individuals following a slow tra

138 nd gill plates were analysed and searches on BOLD produced matches to 20 species of sharks and five s

139 ently generated tremendous interest with the bold promise to revolutionize clinical practice in psych

140 canner using a blood oxygen level-dependent (BOLD) protocol.

141 r players with lower FA tended to have lower BOLD PSC across three levels of a working memory task.

142 Analysis of working memory-task BOLD PSC revealed a similar interaction between concussi

143 Analyses of variance of FA and BOLD PSC were used to determine main or interaction effe

144 ns in T1D research that should be subject to bold question and provide additional concepts, many some

145 mprovements after CBT-I were correlated with BOLD reduction in the right insula and left paracentral

146 e conflicting findings, we hypothesized that BOLD reflects the strength of synaptic inputs to cortex,

147 wed better semantic performance and stronger BOLD-related fluctuations in the semantic network.

148 The NBG-BOLD relationship is therefore not fixed but is rather h

149 In summary, the NBG-BOLD relationship strongly depends on the nature of sens

150 nsitive two-photon microscopy to measure the BOLD-relevant microvascular physiology occurring within

151 lengthens reaction time and reduces both the BOLD response and neural firing.

152 In this study, we used fMRI to map the BOLD response in a recently developed putative rat model

153 erlies orientation decoding from patterns of BOLD response in human V1.

154 We found reduced BOLD response in patients reporting scotoma and increase

155 fornix microstructure and category-selective BOLD response in PrC and HC, respectively.

156 Nalmefene blunts BOLD response in the mesolimbic system during anticipati

157 Similar to study 1, in study 2, greater IC-BOLD response in the right IFG (t23 = -2.49; beta = -0.4

158 nfusion, nalmefene significantly reduced the BOLD response in the striatal region of interest compare

159 S investigation showed that the stronger ATL BOLD response induced by the semantic task, the lower GA

160 bling experiments show that the amplitude of BOLD response is proportional to approximately 0.5 power

161 wever, the neural generators of the negative BOLD response remain to be characterized.

162 In line with the notion of adaptive coding, BOLD response slopes in the Substantia Nigra/Ventral Teg

163 The dorsal striatal BOLD response to DLPFC stimulation however was not signi

164 rain regions that showed a differential fMRI BOLD response to error and correct trials across a major

165 , cocaine users had a lower ventral striatal BOLD response to MPFC stimulation.

166 Yet, parametric modeling of the BOLD response using simultaneously recorded SSSEPs as a

167 Results show that the visually evoked BOLD response was solely predicted by the sum of local i

168 that this probe stimulus elicited a stronger BOLD response, and allowed for increased shape-classific

169 had corresponding bihemispherical changes in BOLD response.

170 Similarly, blood oxygen level-dependent (BOLD) response in PrC and HC, elicited during oddity jud

171 k-related blood oxygenation level-dependent (BOLD) response in the right IFG (F1,78 = 14.87) and thal

172 to assess the blood oxygen level-dependent (BOLD) response to images in 36 children (7-10 y old; gir

173 ted state; the blood oxygen level-dependent (BOLD) response to images of high-calorie foods versus lo

174 r, blockade of A1 receptors had no effect on BOLD responses and did not reverse the effect of TMPAP.

175 We then used voxelwise modeling to predict BOLD responses based on three different feature spaces t

176 We identified BOLD responses directly related to onsets of slow calciu

177 ater point within a story, led to attenuated BOLD responses for auditory input of high versus low pre

178 dorsal auditory stream, yielding attenuated BOLD responses for highly predicted versus less strongly

179 The BOLD responses from auditory cortex increased with incre

180 Second, we measured event-related fMRI BOLD responses in human primary visual cortex (V1) and m

181 stablished fMRI paradigm was used to trigger BOLD responses in the forepaw region of the somatosensor

182 tion to the left radial forearm, we observed BOLD responses in the ipsilateral DH of the spinal segme

183 y correlated with the amplitude of sustained BOLD responses in the right temporoparietal junction, a

184 erarchical set of speech features to predict BOLD responses of individual voxels recorded in an fMRI

185 Fronto-parietal fMRI BOLD responses that accompanied perceptual switches were

186 TV, rather than trial-averaged amplitude, of BOLD responses to far rather than near dynamic stimuli p

187 ogical front, these results demonstrate that BOLD responses to lexical variables during naturalistic

188 We observed attenuated BOLD responses to predicted stimuli at the new post-sacc

189 served between-group differences in striatal BOLD responses to shock omission in Avoidance/Extinction

190 To test this hypothesis, we measured fMRI BOLD responses to task-irrelevant stimuli acquired from

191 ehavioural sensitivity to fear, and amygdala BOLD responses were modulated by both fear and emotion a

192 the thalamus revealed significantly reduced BOLD responses when HD was repeated.

193 ing the relationship between neural and fMRI BOLD responses without direct measurement of neural acti

194 ed modeling of blood oxygen level dependent (BOLD) responses enabled time resolved (400 milliseconds

195 ly exaggerated blood-oxygen-level-dependent (BOLD) responses in the anterior insular cortex (AIC), a

196 sed to collect blood-oxygen-level-dependent (BOLD) responses to anticipation of reward in the monetar

197 flow (CBF) and blood oxygen-level dependent (BOLD) resting-state functional connectivity (RSFC) were

198 brain regions and outperforming conventional BOLD results that are often buried under vascular biases

199 Phase 2 began with de Bold's discovery of atrial natriuretic peptide, followed

200 increase in tumor sO2 levels (P = .003) and BOLD signal (P = .001).

201 vestigated the spatial pattern of correlated BOLD signal across eight visual areas on data collected

202 ility (measured as the standard deviation of BOLD signal amplitude) in resting state networks (RSNs)

203 functional magnetic resonance imaging (fMRI) BOLD signal and electrocorticographic (ECoG) field poten

204 ates positively with the superficial layers' BOLD signal and that beta-power is negatively correlated

205 e glucose and oxygen consumption, and of the BOLD signal as reported in human studies.

206 a priori defined striatal region of interest BOLD signal change during reward anticipation compared w

207 A BOLD signal change in right superior parietal cortex was

208 In healthy women, robust task-evoked BOLD signal changes observed under low E(2) conditions w

209 easing colonic propionate production reduced BOLD signal during food picture evaluation in the caudat

210 Whereas these areas also produced changes in BOLD signal during the dynamic warming stimulus on the c

211 functional magnetic resonance imaging (fMRI) BOLD signal during the performance of the Simon task.

212 Our findings provide evidence that the BOLD signal fluctuates with spatial heterogeneity in mal

213 a typical rodent fMRI voxel and predict the BOLD signal from first principles using those measuremen

214 Additional analysis revealed that BOLD signal in heteromodal association cortex typically

215 e the accuracy of word report and reduce the BOLD signal in lateral temporal lobe regions.

216 In Experiment 2, spatial patterns of BOLD signal in medial temporal and posterior midline reg

217 emoglobin oxygen saturation (sO2) levels and BOLD signal in response to carbogen.

218 Oxytocin administration reduces the BOLD signal in reward-related food motivation brain regi

219 nts who changed their minds more showed less BOLD signal in the insula and the amygdala when evaluati

220 he risky Stag choice, AVP down-regulates the BOLD signal in the left dorsolateral prefrontal cortex (

221 iol, a TD by ACE interaction was observed on BOLD signal in the right DLPFC such that TD increased ac

222 During retrieval of the event, the BOLD signal in the same region was modulated by the pers

223 During cataplexy, suprapontine BOLD signal increase was present in the amygdala, fronta

224 refrontal cortex, and the nucleus accumbens; BOLD signal increases were also observed at locus cerule

225 illustrated by quantifying variations in the BOLD signal induced by the morphological folding of the

226 tions in regards to fMRI technology: how the BOLD signal inferences the underlying microscopic neuron

227 een photoacoustically derived sO2 levels and BOLD signal intensity (r = 0.937, P = .005) and partial

228 Changes in PAI and BOLD signal intensity before and after VDA treatment wer

229 itated by the fact that time resolution of a BOLD signal much lower than that of cognitive processes

230 t anxiety was positively correlated with the BOLD signal of the right parahippocampal gyrus during th

231 The BOLD signal originated primarily from venules, and the C

232 tudy revealed for the first time contrasting BOLD signal patterns of biased agonists in comparison to

233 a specific cognitive paradigm, modelling the BOLD signal provided new insight into the dynamic causal

234 ion, which correspond to specific changes in BOLD signal reactivity.

235 addition, we assess MD responsiveness using BOLD signal recruitment and multi-task activation indice

236 Voxelwise analysis of task-related BOLD signal revealed a significant group-by-abstinence i

237 rectly test this assumption by comparing the BOLD signal time courses in each network across differen

238 e-tracking data to a low-temporal resolution BOLD signal to extract responses to single words during

239 can extract word-level information from the BOLD signal using high-temporal resolution eye tracking.

240 Because previous work investigating BOLD signal variability has been conducted within task-b

241 wn regarding regional changes in spontaneous BOLD signal variability in the human brain across the li

242 cy fluctuations (fALFF; 0.01-0.08 Hz) of the BOLD signal was compared among the three groups.

243 In the caudate, the reduction in BOLD signal was driven specifically by a lowering of the

244 ning cell-type-specific contributions to the BOLD signal.

245 subsystems using an MDS in the space of the BOLD signal.

246 emodynamic responses that drive the negative BOLD signal.

247 ing changes in blood-oxygen-level-dependent (BOLD) signal after visual stimulation.

248 tivity are the blood-oxygen-level dependent (BOLD) signal and surface field potential.

249 (LFOs) of the blood oxygen level-dependent (BOLD) signal are gaining interest as potential biomarker

250 minar-resolved blood-oxygen level-dependent (BOLD) signal by combining data from simultaneously recor

251 ne on striatal blood oxygen level-dependent (BOLD) signal change during anticipation of monetary rewa

252 rther assessed blood-oxygen-level-dependent (BOLD) signal change while subjects performed a face-reco

253 e task-related blood-oxygen level-dependent (BOLD) signal changes during sematic processing and resti

254 osely parallel blood oxygen level dependent (BOLD) signal changes observed in human functional magnet

255 w frequent the blood-oxygen-level-dependent (BOLD) signal correlation between two nodes is negative.

256 by inter-areal blood-oxygen-level-dependent (BOLD) signal correlation, as a proxy for communication i

257 Blood oxygen level dependent (BOLD) signal differences in response to SS and neutral s

258 F) in the blood oxygenation level-dependent (BOLD) signal during resting-state fMRI reflects the magn

259 Moreover, blood-oxygenation-level-dependent (BOLD) signal in the temporo-parietal junction is modulat

260 found that the blood oxygen level dependent (BOLD) signal in ventromedial prefrontal cortex (vmPFC) w

261 educe the blood oxygenation level-dependent (BOLD) signal to high-calorie food vs non-food visual sti

262 onal-MRI-based blood oxygen level-dependent (BOLD) signal variability (SD(BOLD)) in younger and older

263 The blood oxygen level-dependent (BOLD) signal was measured in a priori brain regions invo

264 ptom severity, blood-oxygen-level-dependent (BOLD) signal, and dorsolateral prefrontal cortex (DLPFC)

265 e on the brain blood oxygen level-dependent (BOLD) signal.

266 asy-to-implement analysis approach to assess BOLD-signal variability in event-related fMRI task parad

267 However, higher levels of BOLD-signal variability in the left inferior frontal jun

268 occur during early conditioning and amygdala BOLD signaling was unaffected in these patients.

269 negative blood oxygenation level-dependent (BOLD) signaling.

270 Changes in BOLD signals are sensitive to the regional blood content

271 tional circuits at rest, the extent to which BOLD signals correlate spatially with underlying neurona

272 found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (<0.

273 phase interactions among resting-state fMRI BOLD signals from human subjects.

274 d BOLD activations and local correlations of BOLD signals in a resting state, and whether these spati

275 Load-dependent BOLD signals in primary visual cortex (V1) and superior

276 croscopic vascular behavior into macroscopic BOLD signals is at the foundation of physiologically inf

277 Whereas some studies have reported that BOLD signals measured in visual cortex are tightly linke

278 inhibitory population evoked robust positive BOLD signals within striatum, while downstream regions e

279 asures of blood oxygenation-level-dependent (BOLD) signals during the performance of dopamine-depende

280 slow intrinsic blood oxygen level dependent (BOLD) signals in normal adults during wake and SWS.

281 a context, and blood oxygen level dependent (BOLD) signals in the ventromedial prefrontal cortex (PFC

282 fMRI blood oxygen level-dependent (BOLD) signals to the sight and/or taste of the stimuli w

283 as measured by blood-oxygen-level-dependent (BOLD) signals.

284 Groups containing only one bold spider experienced the lowest levels of bacterial t

285 We analysed 18,554 adults from the BOLD study, who had provided acceptable post-bronchodila

286 ew safety signals occurred compared with the BOLD Study.

287 We estimate the global BOLD Systems database holds core DNA barcodes (rbcL + ma

288 y by combining blood oxygen level-dependent (BOLD) T2* and oxygen-weighted T1 contrast mechanisms und

289 The time delay between the BOLD time course in each voxel and the mean signal of gl

290 d as parametric regressors for analyzing the BOLD time series.

291 ng (DWI), blood-oxygenation-level-dependent (BOLD), tissue-oxygenation-level-dependent (TOLD) and dyn

292 d blood-oxygen-level-dependent time-to-peak (BOLD-TTP; a physiological measure of vascular dysfunctio

293 was also compared to alternative metrics of BOLD variability (SDBOLD) and global connectivity (Gconn

294 demonstrate unique lifespan trajectories of BOLD variability related to specific regions of the brai

295 This target represents a bold vision for the future of RA therapeutics.

296 Decisive and strategic action on this bold vision will prevent hundreds of millions of unneces

297 s Bacon used to distill complex stories in a bold way.

298 Anatomic images of LFP and BOLD were coregistered within 0.10 mm accuracy.

299 mpulsivity, IQ, MID task performance, and VS BOLD were regressed against psychosis RPS at 4 progressi

300 The power spectrum of the BOLD within each ROI was calculated and divided into the