Arterial‐spin‐labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4‐year longitudinal study

Vis, Jill B. De; Peng, Shin‐Lei; Chen, Xi; Li, Yang; Liu, Peiying; Sur, Sandeepa; Rodrigue, Karen M.; Park, Denise C.; Lu, Hanzhang

doi:10.1002/jmri.25938

Cited by 66 publications

(54 citation statements)

References 42 publications

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“…Chronic hypoperfusion has been proposed as an inciting event in the pathogenesis of neurodegenerative disease (de la Torre, 2017). A study of 115 health older adults with baseline ASL CBF and cognitive assessment at a 4-year follow-up visit found that perfusion at baseline predicted cognition at the second time point (De Vis et al, 2018), and another found that those older adults who went on to show cognitive declines (n = 73) had lower baseline ASL perfusion than their counterparts who remained stable (n = 75), particularly in the PCC (Xekardaki et al, 2015). A study of 115 health older adults with baseline ASL CBF and cognitive assessment at a 4-year follow-up visit found that perfusion at baseline predicted cognition at the second time point (De Vis et al, 2018), and another found that those older adults who went on to show cognitive declines (n = 73) had lower baseline ASL perfusion than their counterparts who remained stable (n = 75), particularly in the PCC (Xekardaki et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

A longitudinal characterization of perfusion in the aging brain and associations with cognition and neural structure

Staffaroni

Cobigo

Elahi

et al. 2019

Human Brain Mapping

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Cerebral perfusion declines across the lifespan and is altered in the early stages of several age‐related neuropathologies. Little is known, however, about the longitudinal evolution of perfusion in healthy older adults, particularly when perfusion is quantified using magnetic resonance imaging with arterial spin labeling (ASL). The objective was to characterize longitudinal perfusion in typically aging adults and elucidate associations with cognition and brain structure. Adults who were functionally intact at baseline (n = 161, ages 47–89) underwent ASL imaging to quantify whole‐brain gray matter perfusion; a subset (n = 136) had repeated imaging (average follow‐up: 2.3 years). Neuropsychological testing at each visit was summarized into executive function, memory, and processing speed composites. Global gray matter volume, white matter microstructure (mean diffusivity), and white matter hyperintensities were also quantified. We assessed baseline associations among perfusion, cognition, and brain structure using linear regression, and longitudinal relationships using linear mixed effects models. Greater baseline perfusion, particularly in the left dorsolateral prefrontal cortex and right thalamus, was associated with better executive functions. Greater whole‐brain perfusion loss was associated with worsening brain structure and declining processing speed. This study helps validate noninvasive MRI‐based perfusion imaging and underscores the importance of cerebral blood flow in cognitive aging.

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Section: Discussionmentioning

confidence: 99%

A longitudinal characterization of perfusion in the aging brain and associations with cognition and neural structure

Staffaroni

Cobigo

Elahi

et al. 2019

Human Brain Mapping

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“…Other factors not included in the model might play a significant role for the remaining variance in cognition. For instance, biomarkers like amyloid burden (McConathy & Sheline, ) or cerebral blood flow as measured by arterial spin labeling (De Vis et al, ) have been associated with cognition and could explain behavioral performance in different cognitive domains. We used a priori chosen markers, mostly associated with cognition in older adults; however, future studies including a greater variety of BMs, the role, and interaction of which in cognition has not been fully explored yet, will provide us with important information about the core of the neurobiology of aging.…”

Section: Discussionmentioning

confidence: 99%

Brain biomarkers and cognition across adulthood

Tsapanou

Habeck

Gazes

et al. 2019

Human Brain Mapping

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Understanding the associations between brain biomarkers (BMs) and cognition across age is of paramount importance. Five hundred and sixty‐two participants (19–80 years old, 16 mean years of education) were studied. Data from structural T1, diffusion tensor imaging, fluid‐attenuated inversion recovery, and resting‐state functional magnetic resonance imaging scans combined with a neuropsychological evaluation were used. More specifically, the measures of cortical, entorhinal, and parahippocampal thickness, hippocampal and striatal volume, default‐mode network and fronto‐parietal control network, fractional anisotropy (FA), and white matter hyperintensity (WMH) were assessed. z‐Scores for three cognitive domains measuring episodic memory, executive function, and speed of processing were computed. Multiple linear regressions and interaction effects between each of the BMs and age on cognition were examined. Adjustments were made for age, sex, education, intracranial volume, and then, further, for general cognition and motion. BMs were significantly associated with cognition. Across the adult lifespan, slow speed was associated with low striatal volume, low FA, and high WMH burden. Poor executive function was associated with low FA, while poor memory was associated with high WMH burden. After adjustments, results were significant for the associations: speed‐FA and WMH, memory‐entorhinal thickness. There was also a significant interaction between hippocampal volume and age in memory. In age‐stratified analyses, the most significant associations for the young group occurred between FA and executive function, WMH, and memory, while for the old group, between entorhinal thickness and speed, and WMH and speed, executive function. Unique sets of BMs can explain variation in specific cognitive domains across adulthood. Such results provide essential information about the neurobiology of aging.

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“…For ASL‐MRICloud, since this tool was launched in 2016, approximately 3000 jobs from outside our institution have been submitted and processed. Several research studies that used ASL‐MRICloud has been published in scientific journals …”

Section: Discussionmentioning

confidence: 99%

“…The single‐delay ASL pipeline was tested using PCASL data acquired in a previous aging study and PASL data acquired in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). For the PCASL data, the participants consisted of 309 healthy volunteers aged from 20 to 89 years old (average age 54 ± 19 years, 114 males, 195 females).…”

Section: Methodsmentioning

confidence: 99%

ASL‐MRICloud: An online tool for the processing of ASL MRI data

Liu

et al. 2018

NMR in Biomedicine

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Arterial spin labeling (ASL) MRI is increasingly used in research and clinical settings. The purpose of this work is to develop a cloud‐based tool for ASL data processing, referred to as ASL‐MRICloud, which may be useful to the MRI community. In contrast to existing ASL toolboxes, which are based on software installation on the user's local computer, ASL‐MRICloud uses a web browser for data upload and results download, and the computation is performed on the remote server. As such, this tool is independent of the user's operating system, software version, and CPU speed. The ASL‐MRICloud tool was implemented to be compatible with data acquired by scanners from all major MRI manufacturers, is capable of processing several common forms of ASL, including pseudo‐continuous ASL and pulsed ASL, and can process single‐delay and multi‐delay ASL data. The outputs of ASL‐MRICloud include absolute and relative values of cerebral blood flow, arterial transit time, voxel‐wise masks indicating regions with potential hyper‐perfusion and hypo‐perfusion, and an image quality index. The ASL tool is also integrated with a T1‐based brain segmentation and normalization tool in MRICloud to allow generation of parametric maps in standard brain space as well as region‐of‐interest values. The tool was tested on a large data set containing 309 ASL scans as well as on publicly available ASL data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study.

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Arterial‐spin‐labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4‐year longitudinal study

Abstract: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2018;48:449-458.

Cited by 66 publications

References 42 publications

A longitudinal characterization of perfusion in the aging brain and associations with cognition and neural structure

A longitudinal characterization of perfusion in the aging brain and associations with cognition and neural structure

Brain biomarkers and cognition across adulthood

ASL‐MRICloud: An online tool for the processing of ASL MRI data

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