ライフサイエンスコーパス: bold

1 should be cambria math, italicized, and not bold.

2 BOLD signal, particularly for gradient-echo BOLD.

3 e data support the usefulness of an MBME ASL/BOLD acquisition for BH CVR and M measurements.

4 During retrieval, BOLD activation in the AnG was greatest for vividly reme

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

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

7 ly distinctive blood-oxygen-level-dependent (BOLD) activation in swine brain.

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

9 population, by increasing the proportion of bold, active, and anxious individuals and in-turn affect

10 These frames coincide with frames of high BOLD activity amplitude, corresponding to activity patte

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

12 act also correlated with previously acquired BOLD activity during music listening, but not for a cont

13 pecific responses in a multivoxel pattern of BOLD activity exploited by multivariate decoders can be

14 ining fluctuations in multivoxel patterns of BOLD activity from male and female human subjects making

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

16 rained a model to learn principles governing BOLD activity in one dataset and reconstruct artificiall

17 fMRI in healthy participants, we found that BOLD activity in the hippocampus increased as a function

18 Decreases in fMRI BOLD activity in the orbito-frontal cortex, ventral cing

19 We found that positive contact modulated BOLD activity in the right fusiform gyrus (rFG) and left

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

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

22 Here, we identify brain regions with fMRI BOLD activity patterns that change more rapidly during p

23 BOLD activity was measured as subjects used a precision-

24 ations in blood oxygenation level-dependent (BOLD) activity in the dopaminergic midbrain, encompassin

25 ity caused by the disease globally, fuelling bold aims for disease elimination.

26 We find that BOLD amplitude across cortical depth scales with luminan

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

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

29 8-13 Hz) were negatively correlated, and the BOLD amplitude and narrowband gamma power (30-80 Hz) wer

30 member states in 2015, established a set of bold and ambitious health-related targets to achieve by

31 BOLD and ASL BH activation was computed, and CVR was the

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

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

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

35 We found that both BOLD and electrophysiological signals elicited by tactil

36 energy metabolism are in partial agreement: BOLD and glutamate signals were linear with image contra

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

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

39 rstand this, we conducted simulations of the BOLD and MION response during rER, and found that no mat

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

41 fferences in behavioural flexibility between bold and shy individuals.

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

43 single-vessel blood-oxygen-level-dependent (BOLD) and cerebral-blood-volume (CBV)-fMRI from individu

44 re whole-brain blood-oxygen-level-dependent (BOLD) and whole-cortex calcium-sensitive fluorescent mea

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

46 , we express doubt about Churchland et al.'s bold assessment that such rotations are related to "an u

47 increasing task demands showed a stronger DA-BOLD association during 3-back, whereas low-performing i

48 Critically, the DA-BOLD association in normal-performing, but not low-perfo

49 three load conditions and found that the DA-BOLD association is expressed in a load-dependent fashio

50 Moreover, a potential DA-BOLD association may be modulated by task performance.

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

52 Those which were relatively bold at high tide (when predation risk is greater) were

53 en predation risk is greater) were similarly bold at low tide, whereas shy individuals became much mo

54 e, whereas shy individuals became much more "bold" at low tide.

55 pite advances, blood oxygen level-dependent (BOLD) cardiac MRI for myocardial perfusion is limited by

56 8.8; p=0.032) and symptomatic carriers (mean BOLD change 0.4% [SD 0.1], mean difference -0.9%, 95% CI

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

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

59 ver the course of a breath hold to determine BOLD changes.

60 We found that bold colonies enjoyed a rare-type advantage that is lost

61 e advantage that is lost as the frequency of bold colonies in a neighbourhood increases.

62 seem to be driven by a foraging advantage of bold colonies that is lost in bold neighbourhoods becaus

63 scarce, and shy colonies perform better than bold colonies under low-resource conditions.

64 ow wave activity, dominated by a cortex-wide BOLD component, suggesting a strong functional coupling

65 Parties 15, there is momentum around setting bold conservation targets.

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

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

68 d increased the magnitude and reliability of BOLD contrast, which may be performed without requiring

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

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

71 ly employs the blood-oxygen-level-dependent (BOLD) contrast mechanism.

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

73 essing in this task, we go on to examine the BOLD correlates with the within trial expected decision-

74 c model parameters have clear across subject BOLD correlates, while other model parameters, as well a

75 Next, analysis of fMRI BOLD data revealed activity across a frontoparietal netw

76 et al., 2002) and temporally re-aligned with BOLD data so activity accompanying the recall of differe

77 nd reliability compared with the single-echo BOLD data.

78 eproduced in detail the experimental NBG and BOLD data.

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

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

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

82 thin visual cortex, as indicated by stronger BOLD decrease in superficial and middle than deeper laye

83 ehavioral adaptation are coyotes that become bold enough to occasionally prey on pets or attack human

84 viours from 3 traditional tests (3 factors: 'Bold', 'Exploratory' and 'Active'), and one using behavi

85 Additionally, the dynamic changes of BOLD FC behaved most similarly to the LFP low frequency

86 signals, with high resolution resting state BOLD FC measurements.

87 , and the relationship of dynamic changes in BOLD FC to underlying temporal variations of LFP correla

88 motion artefacts, in combination, render rER BOLD fMRI challenging in NHP.

89 valuation of brain activation patterns using BOLD fMRI during an (1) emotion face-processing task, (2

90 Here, we used rER BOLD fMRI in macaque monkeys while viewing real-world im

91 However, using BOLD fMRI in NHP is desirable for interspecies compariso

92 cuit studied, resting state FC measures from BOLD fMRI mainly reflect contributions from low frequenc

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

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

95 ations between fluctuations in resting state BOLD fMRI signals are interpreted as measures of functio

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

97 tored during hemodynamic imaging, such as in BOLD fMRI.

98 temporal resolution neural measures, such as BOLD fMRI.

99 lysis of simultaneously acquired whole-brain BOLD fMRI.

100 rast manipulations in sub-millimeter laminar BOLD fMRI.

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

102 Simultaneously acquired BOLD-fMRI and single voxel proton MR spectroscopy signal

103 Using CBF loci as seed regions, BOLD-fMRI data from healthy controls (n = 36, 19 female)

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

105 rmed neurovascular coupling and the basis of BOLD functional neuroimaging signals.

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

107 by using blood oxygenation level-dependent (BOLD) functional MRI.

108 Signal loss in blood oxygen level-dependent (BOLD) functional neuroimaging is common and can lead to

109 American Kidney Health Executive Order sets bold goals to transform kidney care for patients and car

110 In part <Emphasis Type="Bold">c</Emphasis> of Figure 1 in this article, the orie

111 Accurate estimates of the BOLD hemodynamic response function (HRF) are crucial for

112 rrent measurements of cortical activity with BOLD imaging (fMRI).

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

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

115 Blood-oxygen-level-dependent (BOLD) imaging showed that patterns of multivoxel activit

116 man fMRI studies by using a proxy signal for BOLD in a freely behaving rodent.

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

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

119 rates in macaque V1, and amplitudes of fMRI BOLD in human V1.

120 mal-performing adults expressing upregulated BOLD in response to increasing task demands showed a str

121 We also find that examining BOLD in terms of the expected decision-variable leads to

122 Shy and bold individuals became more intermediate at higher temp

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

124 s correlation cannot comprehensively capture BOLD inter-dependencies.

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

126 s directional pooling may potentially affect BOLD linearity across cortical depth.

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

128 , we use a non-blood-oxygen-level-dependent (BOLD) method for collecting fMRI data, called vascular s

129 amic and quantitative heartbeat-to-heartbeat BOLD MRI and evaluate the sequence in populations both h

130 tations associated with conventional cardiac BOLD MRI by enabling whole-heart coverage within the sta

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

132 rials and Methods In this prospective study, BOLD MRI was performed in 86 fetuses (56 healthy fetuses

133 BOLD MRI was used to study the reorganization of R222's

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

135 sional cardiac blood oxygen level-dependent (BOLD) MRI approach overcame key limitations associated w

136 g advantage of bold colonies that is lost in bold neighbourhoods because prey become scarce, and shy

137 BOLD neuroimaging in human volunteers demonstrates rigid

138 antum chemical calculations to put forward a bold new hypothesis.

139 although any two of the three elements (rER, BOLD, NHP) have been shown to work well, the combination

140 hbourhoods of social spider colonies bearing bold or shy foraging phenotypes and monitored their fecu

141 effectively applied to overlapping or sparse BOLD patterns which are often found in DBS.

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

143 This pattern suggests a nonlinear DA-BOLD performance association, with the strongest link at

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

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

146 d meetings, the NCI leadership embarked on a bold program to systematically integrate physical scienc

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

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

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

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

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

152 biologist will consider when planning to ask bold questions.

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

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

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

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

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

158 rent luminance contrasts to elicit different BOLD response amplitudes.

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

160 The BOLD response and PET MPR were positively correlated (R

161 s approach could identify differences in the BOLD response between healthy participants and participa

162 lue of social engagement decreased; amygdala BOLD response during decision-making and when experienci

163 In contrast, WM performance and BOLD response during the N-back task were not associated

164 We examined the relationship of DA to BOLD response during working memory under three load con

165 r, this same information is reflected in the BOLD response elicited by sensory prediction errors in h

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

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

168 and that this signal uniquely related to the BOLD response in other language-critical regions.

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

170 Nalmefene blunts BOLD response in the mesolimbic system during anticipati

171 To this aim, we measured the BOLD response in the MTG to video clips of gestures and

172 BOLD response in the PPC and FEF, during encoding and ma

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

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

175 well as extrastriatal DA D(2/3) receptors to BOLD response in the thalamo-striatal-cortical circuit,

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

177 shown a neural own-race effect with greater BOLD response to own race compared to other race faces.

178 social feedback increased; ventral striatum BOLD response to positive social feedback decreased; and

179 This index quantified the selectivity of the BOLD response to preferred versus nonpreferred category

180 one have attempted to directly tie model and BOLD response together.

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

182 an increase and a decrease, respectively, in BOLD response when hungry.

183 i ROI analysis confirmed the relation of aHC BOLD response with avoidance.

184 (tb-fMRI), here referred to as the "negative BOLD response" (NBR).

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

186 pecific model parameters have a correlate in BOLD response.

187 had corresponding bihemispherical changes in BOLD response.

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

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

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

191 perties of the blood oxygen level-dependent (BOLD) response, which can be potentially related to top-

192 t-to-heartbeat blood oxygen level-dependent (BOLD)-response imaging by analyzing changes in T2 and T2

193 illimeter-resolution fMRI at 7T, we resolved BOLD-response and activation patterns across cortical de

194 Myocardial BOLD responses (MBRs) between normal and ischemic myocar

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

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

197 The BOLD responses from auditory cortex increased with incre

198 We observe that while BOLD responses in deep and middle PAC layers are equally

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

200 To fill this gap in knowledge, we measured BOLD responses in medial and lateral VTC to images spann

201 aluate the spatial scale of stimuli specific BOLD responses in multivoxel patterns exploited by linea

202 ificant main effect of group on task-related BOLD responses in the right hippocampus, left DLPFC, lef

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

204 ificant main effect of group on task-related BOLD responses in the superior parietal lobule during WM

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

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

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

208 Participants in the two groups had similar BOLD responses to sucrose and water tastants.

209 ary for the LPZ responses, here, we measured BOLD responses to tactile and auditory stimuli for both

210 e used high-field fMRI at 7 Tesla to measure BOLD responses to task-irrelevant orientation-defined fi

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

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

213 BOLD responses were modulated by both stimulus contrast

214 ording of blood oxygenation level dependent (BOLD) responses at the level of fundamental units of neu

215 dentified blood oxygenation level-dependent (BOLD) responses directly related to slow calcium waves,

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

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

218 ow significant blood-oxygen-level-dependent (BOLD) responses in the primary visual area (V1) lesion p

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

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

221 Fast BOLD scans showed that the elevated BOLD signal variabil

222 lling/blood oxygenation level dependent (ASL/BOLD) sequence.

223 g and allow individuals to be categorized as bold, shy or intermediate based upon response times.

224 tionarily important behavioral traits (i.e., bold-shy and exploration-avoidance behavior) in two cont

225 Comparing the model activity with BOLD signal allowed us to identify neural correlates of

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

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

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

229 ship between MRS-visible neurochemicals, the BOLD signal change, and stimulus intensity, we measured

230 ical domains, testing them on functional MRI BOLD signal data obtained from individuals undergoing va

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

232 threat probability and magnitude related to BOLD signal in left aHC/entorhinal cortex.

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

234 However, BOLD signal in this region was better explained by avoid

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

236 Our results suggest that aHC BOLD signal is better explained by avoidance behavior th

237 We show that reading increased the top-down BOLD signal observed in the deep layers of the LOTS and

238 -specific information represented within the BOLD signal on every trial.

239 hat xanomeline induces robust and widespread BOLD signal phMRI amplitude increases and decreased high

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

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

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

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

244 Fast BOLD scans showed that the elevated BOLD signal variability in AD arises mainly from cardiov

245 We detected a replicable increase in brain BOLD signal variability in the AD populations, which con

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

247 nique opportunity to reconstruct compromised BOLD signal while capturing features of an individual's

248 sirable for interspecies comparison, and the BOLD signal's faster response function promises to be be

249 ongly influence the cortical depth-dependent BOLD signal, particularly for gradient-echo BOLD.

250 ine model, we show that calcium predicts the BOLD signal, using a model that optimizes a gamma-varian

251 ement learning model, were regressed against BOLD signal.

252 ity patterns specific to the depth-dependent BOLD signal.

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

254 equency fluctuations/temporal variability of BOLD signal.

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

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

257 conditions on blood-oxygen-level-dependent (BOLD) signal and task-based functional connectivity.

258 y and the blood oxygenation level dependent (BOLD) signal can be described as following linear system

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

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

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

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

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

264 ng of the fMRI blood oxygen level-dependent (BOLD) signal during working memory in healthy subjects c

265 variability of blood oxygen level-dependent (BOLD) signal in individuals from three independent datas

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

267 creases in blood-activation-level-dependent (BOLD) signal in WM task-positive brain regions and incre

268 pus, where the blood-oxygen-level-dependent (BOLD) signal predicts behavioral measures of memory inte

269 ever, the blood oxygenation level-dependent (BOLD) signal provides an indirect measure of neuronal fi

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

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

272 ating the blood oxygenation level-dependent (BOLD) signal.

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

274 sity, we measured combined neurochemical and BOLD signals (combined fMRI-MRS) to different image cont

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

276 Temporal profiles of stimulus-evoked BOLD signals covaried with LFP and multiunit spiking in

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

278 matter (WM) despite increasing evidence that BOLD signals in WM change after a stimulus.

279 ty of MVPA to exploit fine scale patterns of BOLD signals.

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

281 Blood-oxygen-level-dependent (BOLD) signals in the rostral anterior cingulate cortex (

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

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

284 ndencies among blood-oxygen-level-dependent (BOLD) signals.

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

286 First of all, this is quite a bold statement when only one patient has been evaluated.

287 ng that the lower contrast-to-noise ratio of BOLD, suboptimal behavioural performance, and motion art

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

289 ve cardiac MRI blood oxygen level-dependent (BOLD) techniques.

290 d mpath), as well as to the numbering of the bold-text annotations in the reference list.

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

292 ated in terms of the mean correlation of the BOLD time courses extracted from different brain regions

293 Intriguingly, BOLD time series extracted from reconstructed frames are

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

295 uations in the blood oxygen level-dependent (BOLD) time series.

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

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

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

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

300 ome studies have shown a link between DA and BOLD, whereas others have failed to observe such a relat