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

Publication Date:
2018-01-03
Publisher:
Wiley-Blackwell
Print ISSN:
1053-1807
Electronic ISSN:
1522-2586
Topics:
Medicine
Published by:
http://www.wiley.com/wiley-blackwell
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autor Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
beschreibung Background With the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. Purpose/Hypothesis To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. Study Type Prospective longitudinal study with a 4-year time interval. Population 309 healthy subjects aged 20–89 years old. Field Strength/Sequence 3T pseudo-continuous-arterial-spin-labeling MRI. Assessment CBF at baseline and cognitive assessment at both baseline and follow-up. Statistical Tests Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates. Results Linear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P  = 0.004), but not in younger or entire sample (β = 0.018, P  = 0.867 and β = 0.089, P  = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P  = 0.001), episodic memory (β = 0.294, P  = 0.001), and reasoning (β = 0.186, P  = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. Data Conclusion In a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. Level of Evidence : 1 Technical Efficacy : Stage 3 J. Magn. Reson. Imaging 2018.
citation_standardnr 6127807
datenlieferant ipn_articles
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feed_publisher Wiley-Blackwell
feed_publisher_url http://www.wiley.com/wiley-blackwell
insertion_date 2018-01-03
journaleissn 1522-2586
journalissn 1053-1807
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Wiley-Blackwell
quelle Journal of Magnetic Resonance Imaging
relation http://onlinelibrary.wiley.com/resolve/doi?DOI=10.1002%2Fjmri.25938
search_space articles
shingle_author_1 Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
shingle_author_2 Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
shingle_author_3 Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
shingle_author_4 Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
shingle_catch_all_1 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
Background With the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. Purpose/Hypothesis To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. Study Type Prospective longitudinal study with a 4-year time interval. Population 309 healthy subjects aged 20–89 years old. Field Strength/Sequence 3T pseudo-continuous-arterial-spin-labeling MRI. Assessment CBF at baseline and cognitive assessment at both baseline and follow-up. Statistical Tests Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates. Results Linear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P  = 0.004), but not in younger or entire sample (β = 0.018, P  = 0.867 and β = 0.089, P  = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P  = 0.001), episodic memory (β = 0.294, P  = 0.001), and reasoning (β = 0.186, P  = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. Data Conclusion In a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. Level of Evidence : 1 Technical Efficacy : Stage 3 J. Magn. Reson. Imaging 2018.
Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
Wiley-Blackwell
1053-1807
10531807
1522-2586
15222586
shingle_catch_all_2 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
Background With the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. Purpose/Hypothesis To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. Study Type Prospective longitudinal study with a 4-year time interval. Population 309 healthy subjects aged 20–89 years old. Field Strength/Sequence 3T pseudo-continuous-arterial-spin-labeling MRI. Assessment CBF at baseline and cognitive assessment at both baseline and follow-up. Statistical Tests Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates. Results Linear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P  = 0.004), but not in younger or entire sample (β = 0.018, P  = 0.867 and β = 0.089, P  = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P  = 0.001), episodic memory (β = 0.294, P  = 0.001), and reasoning (β = 0.186, P  = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. Data Conclusion In a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. Level of Evidence : 1 Technical Efficacy : Stage 3 J. Magn. Reson. Imaging 2018.
Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
Wiley-Blackwell
1053-1807
10531807
1522-2586
15222586
shingle_catch_all_3 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
Background With the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. Purpose/Hypothesis To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. Study Type Prospective longitudinal study with a 4-year time interval. Population 309 healthy subjects aged 20–89 years old. Field Strength/Sequence 3T pseudo-continuous-arterial-spin-labeling MRI. Assessment CBF at baseline and cognitive assessment at both baseline and follow-up. Statistical Tests Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates. Results Linear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P  = 0.004), but not in younger or entire sample (β = 0.018, P  = 0.867 and β = 0.089, P  = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P  = 0.001), episodic memory (β = 0.294, P  = 0.001), and reasoning (β = 0.186, P  = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. Data Conclusion In a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. Level of Evidence : 1 Technical Efficacy : Stage 3 J. Magn. Reson. Imaging 2018.
Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
Wiley-Blackwell
1053-1807
10531807
1522-2586
15222586
shingle_catch_all_4 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
Background With the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. Purpose/Hypothesis To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. Study Type Prospective longitudinal study with a 4-year time interval. Population 309 healthy subjects aged 20–89 years old. Field Strength/Sequence 3T pseudo-continuous-arterial-spin-labeling MRI. Assessment CBF at baseline and cognitive assessment at both baseline and follow-up. Statistical Tests Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates. Results Linear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P  = 0.004), but not in younger or entire sample (β = 0.018, P  = 0.867 and β = 0.089, P  = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P  = 0.001), episodic memory (β = 0.294, P  = 0.001), and reasoning (β = 0.186, P  = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. Data Conclusion In a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. Level of Evidence : 1 Technical Efficacy : Stage 3 J. Magn. Reson. Imaging 2018.
Jill B. Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
Wiley-Blackwell
1053-1807
10531807
1522-2586
15222586
shingle_title_1 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
shingle_title_2 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
shingle_title_3 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
shingle_title_4 Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
timestamp 2025-06-30T23:31:42.268Z
titel Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
titel_suche Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study
topic WW-YZ
uid ipn_articles_6127807