Detecting Perfusion Pattern Based on the Background Low-Frequency Fluctuation in Resting-State Functional Magnetic Resonance Imaging Data and Its Influence on Resting-State Networks: An Iterative Postprocessing Approach

Qian, Tianyi; Zanchi, Davide; Rodriguez, Cristelle; Ackermann, Marine; Giannakopoulos, Pantéleimon; Haller, Sven

doi:10.1089/brain.2017.0545

Cited by 4 publications

(5 citation statements)

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“…Our findings of age-related increased hemodynamic lead in SMA and reduced hemodynamic lead in the inferior occipital gyrus, are in partial agreement with the faster cerebrovascular responses in the primary motor and somatosensory cortex, compared to temporoparietal and inferior occipital regions, demonstrated by Qian et al (60) in elderly (>60 years) healthy participants, using TSA. In this study time shift values were different in distinct vascular territories, with the middle cerebral artery territory having the earliest blood arrival time.…”

Section: Discussionsupporting

confidence: 92%

“…Resting-state functional MRI could provide evidence not only about neural activity, but also about cerebral hemodynamic status, by using time-shift analysis, a promising new method that has been used to assess hemodynamics in previous studies (51-59). According to this method, the hemodynamic transfer speed (hemodynamic lag or lead times) is evaluated by using the temporal shift of low-frequency BOLD signal fluctuations of rs-fMRI, and correlates with regional brain perfusion (54,60). This approach can also be used to assess coupling between hemodynamic status and functional connectivity at the same time, by identifying voxels that display relatively high levels of functional connectivity with other brain areas coupled with hemodynamic lead (and conversely voxels that display relatively low levels of functional connectivity with other brain areas coupled with hemodynamic lag).…”

Section: Introductionmentioning

confidence: 99%

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Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study

et al. 2021

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Purpose: To assess age-related changes in intrinsic functional brain connectivity and hemodynamics during adulthood in the context of the retrogenesis hypothesis, which states that the rate of age-related changes is higher in late-myelinating (prefrontal, lateral-posterior temporal) cerebrocortical areas as compared to early myelinating (parietal, occipital) regions. In addition, to examine the dependence of age-related changes upon concurrent subclinical depression symptoms which are common even in healthy aging.Methods: Sixty-four healthy adults (28 men) aged 23–79 years (mean 45.0, SD = 18.8 years) were examined. Resting-state functional MRI (rs-fMRI) time series were used to compute voxel-wise intrinsic connectivity contrast (ICC) maps reflecting the strength of functional connectivity between each voxel and the rest of the brain. We further used Time Shift Analysis (TSA) to estimate voxel-wise hemodynamic lead or lag for each of 22 ROIs from the automated anatomical atlas (AAL).Results: Adjusted for depression symptoms, gender and education level, reduced ICC with age was found primarily in frontal, temporal regions, and putamen, whereas the opposite trend was noted in inferior occipital cortices (p < 0.002). With the same covariates, increased hemodynamic lead with advancing age was found in superior frontal cortex and thalamus, with the opposite trend in inferior occipital cortex (p < 0.002). There was also evidence of reduced coupling between voxel-wise intrinsic connectivity and hemodynamics in the inferior parietal cortex.Conclusion: Age-related intrinsic connectivity reductions and hemodynamic changes were demonstrated in several regions—most of them part of DMN and salience networks—while impaired neurovascular coupling was, also, found in parietal regions. Age-related reductions in intrinsic connectivity were greater in anterior as compared to posterior cortices, in line with implications derived from the retrogenesis hypothesis. These effects were affected by self-reported depression symptoms, which also increased with age.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study

et al. 2021

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“…A longer time‐shift value was observed in the areas from the frontal horn of the lateral ventricle to the frontal cortex and the areas from the occipital horn of the lateral ventricle to the parietal‐occipital cortex. In one of our previous studies, we compared the time‐shift map of healthy volunteers with the brain artery territories map, the results showed that the time‐shifts were consistent with artery territories distribution …”

Section: Discussionmentioning

confidence: 96%

“…The time‐shift map was obtained using the following steps by using a prototype Time‐Shift Mapping on syngo.via Frontiers (Siemens Healthcare): 1) averaging the time series of the whole brain to create the first time series template; 2) shifting the time course for each voxel from –6 TR to + 6 TR (from –12 sec to + 12 sec) and correlating with the template at each TR, and each voxel was then labeled as the number of TR having the maximum correlation coefficient value; 3) realigning the time series of all voxels based on their relative time‐shift value determined by step 2; then find which TR has the largest correlation coefficient with the template, and this TR set at timepoint 0, the other time series are shifted accordingly of TRs in the timeline; 4) averaging the realigned whole brain time series to create a new global template; 5) repeating steps 2, 3, and 4 until the number of voxels that had changed their blood arrival values between two iterations were less than 100; 6) smoothing the final time‐shift value of all voxels with a 6‐mm FWHM; 7) subtracting the time‐shift value of each voxel defined as the time‐shift map; 8) the time‐shift value of each voxel using Fisher's z‐transform converted to z‐score of each subject for group analysis.…”

Section: Methodsmentioning

confidence: 99%

“…The hypothesis of rs‐fMRI is that the reaction of the blood vessels and the BOLD response are homogeneous in the whole brain . However, a recent rs‐fMRI study demonstrated that vascular speeds vary across the different cortical areas in the resting state. Furthermore, according to the results of Wang et al, the resting state BOLD signal fluctuations not only reflect neural activity, but also baseline cerebral perfusion status.…”

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confidence: 99%

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Detecting perfusion deficit in Alzheimer's disease and mild cognitive impairment patients by resting‐state fMRI

Yan

et al. 2018

Magnetic Resonance Imaging

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Background: Vascular factors contributing to cerebral hypoperfusion are implicated in the risk of developing Alzheimer's disease (AD). Purpose: To investigate the time-shift mapping created time-shift value of the brain by resting-state functional magnetic resonance imaging (rs-fMRI), and to determine the differences in time-shift value among AD, mild cognitive impairment (MCI), and normal control (NC) groups to better understand the disease. Study Type: Prospective. Subjects: Twenty-four AD, 24 MCI, and 24 age-matched NC participants. Field Strength/Sequence: T 2 *-weighted single-shot echo-planar imaging sequence was performed at 3T. In addition, a T 1 -weighted fast spoiled gradient-echo sequence was acquired for coregistration. Assessment: The brain time-shift value was determined from rs-fMRI-based blood oxygenation level-dependent (BOLD) signal in the three groups by time-shift mapping. The perfusion patterns were also investigated in the NC group. Statistical Tests: One-way analysis of variance and chi-squared tests were used to compare demographic information. The normalized time-shift maps were analyzed in a second-level test using SPM8. All analyses were evaluated with a significance level of P < 0.05 after false discovery rate (FDR) correction. Results: The time-shift maps obtained from rs-fMRI are consistent with the cerebral blood supply atlas. Compared with NC, both MCI and AD groups had less early perfusion arrival areas among the whole brain. In the delayed time-shift value for the AD group, the areas were located in the bilateral precuneus, the sensory-motor cortex in the left hemisphere, and the bilateral calcarine sulcus, which were different from the MCI group (both P < 0.05, FDR corrected). Data Conclusion: The time-shift mapping method could detect perfusion deficits in AD and MCI noninvasively. The perfusion deficits detected by rs-fMRI may provide new insight for understanding the mechanism of neurodegeneration. Level of Evidence: 2 Technical Efficacy: Stage 3

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Effect of age at time of injury on long-term changes in intrinsic functional connectivity in traumatic brain injury

et al. 2020

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Detecting Perfusion Pattern Based on the Background Low-Frequency Fluctuation in Resting-State Functional Magnetic Resonance Imaging Data and Its Influence on Resting-State Networks: An Iterative Postprocessing Approach

Cited by 4 publications

References 36 publications

Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study

Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study

Detecting perfusion deficit in Alzheimer's disease and mild cognitive impairment patients by resting‐state fMRI

Effect of age at time of injury on long-term changes in intrinsic functional connectivity in traumatic brain injury

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