Literature DB >> 33951945

Impaired cerebral vascular and metabolic responses to parametric N-back tasks in subjective cognitive decline.

Yaoyu Zhang1,2, Wenying Du3, Yayan Yin4, Huanjie Li5, Zhaowei Liu6, Yang Yang2, Ying Han3,7,8,9, Jia-Hong Gao2,10,11.   

Abstract

Previous studies reported abnormally increased and/or decreased blood oxygen level-dependent (BOLD) activations during functional tasks in subjective cognitive decline (SCD). The neurophysiological basis underlying these functional aberrations remains debated. This study aims to investigate vascular and metabolic responses and their dependence on cognitive processing loads during functional tasks in SCD. Twenty-one SCD and 18 control subjects performed parametric N-back working-memory tasks during MRI scans. Task-evoked percentage changes (denoted as δ) in cerebral blood volume (δCBV), cerebral blood flow (δCBF), BOLD signal (δBOLD) and cerebral metabolic rate of oxygen (δCMRO2) were evaluated. In the frontal lobe, trends of decreased δCBV, δCBF and δCMRO2 and increased δBOLD were observed in SCD compared with control subjects under lower loads, and these trends increased to significant differences under the 3-back load. δCBF was significantly correlated with δCMRO2 in controls, but not in SCD subjects. As N-back loads increased, the differences between SCD and control subjects in δCBF and δCMRO2 tended to enlarge. In the parietal lobe, no significant between-group difference was observed. Our findings suggested that impaired vascular and metabolic responses to functional tasks occurred in the frontal lobe of SCD, which contributed to unusual BOLD hyperactivation and was modulated by cognitive processing loads.

Entities:  

Keywords:  Subjective cognitive decline (SCD); blood oxygen level-dependent (BOLD); cerebral blood flow (CBF); cerebral blood volume (CBV); cerebral metabolic rate of oxygen (CMRO2)

Mesh:

Year:  2021        PMID: 33951945      PMCID: PMC8504959          DOI: 10.1177/0271678X211012153

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  75 in total

1.  Quantification of CMRO(2) without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements.

Authors:  Sungho Tak; Jaeduck Jang; Kangjoo Lee; Jong Chul Ye
Journal:  Phys Med Biol       Date:  2010-05-17       Impact factor: 3.609

2.  Age dependence of hemodynamic response characteristics in human functional magnetic resonance imaging.

Authors:  Claudine J Gauthier; Cécile Madjar; Laurence Desjardins-Crépeau; Pierre Bellec; Louis Bherer; Richard D Hoge
Journal:  Neurobiol Aging       Date:  2012-12-06       Impact factor: 4.673

3.  Cerebral metabolic rate of oxygen (CMRO2 ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Authors:  Junghun Cho; Youngwook Kee; Pascal Spincemaille; Thanh D Nguyen; Jingwei Zhang; Ajay Gupta; Shun Zhang; Yi Wang
Journal:  Magn Reson Med       Date:  2018-03-07       Impact factor: 4.668

4.  Subjective memory complaints are associated with brain activation supporting successful memory encoding.

Authors:  Jessica M Hayes; Lingfei Tang; Raymond P Viviano; Sanneke van Rooden; Noa Ofen; Jessica S Damoiseaux
Journal:  Neurobiol Aging       Date:  2017-08-24       Impact factor: 4.673

5.  Measurement of CMRO2 and its relationship with CBF in hypoxia with an extended calibrated BOLD method.

Authors:  Yaoyu Zhang; Yayan Yin; Huanjie Li; Jia-Hong Gao
Journal:  J Cereb Blood Flow Metab       Date:  2019-10-30       Impact factor: 6.200

6.  Disrupted Topologic Efficiency of White Matter Structural Connectome in Individuals with Subjective Cognitive Decline.

Authors:  Ni Shu; Xiaoni Wang; Qiuhui Bi; Tengda Zhao; Ying Han
Journal:  Radiology       Date:  2017-08-11       Impact factor: 11.105

7.  Evaluation of MRI models in the measurement of CMRO2 and its relationship with CBF.

Authors:  Ai-Ling Lin; Peter T Fox; Yihong Yang; Hanzhang Lu; Li-Hai Tan; Jia-Hong Gao
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

8.  Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline.

Authors:  Xuanyu Li; Xiaoni Wang; Li Su; Xiaochen Hu; Ying Han
Journal:  BMJ Open       Date:  2019-07-26       Impact factor: 2.692

9.  Subjective cognitive decline and risk of MCI: The Mayo Clinic Study of Aging.

Authors:  Argonde C van Harten; Michelle M Mielke; Dana M Swenson-Dravis; Clinton E Hagen; Kelly K Edwards; Rosebud O Roberts; Yonas E Geda; David S Knopman; Ronald C Petersen
Journal:  Neurology       Date:  2018-06-29       Impact factor: 11.800

10.  Cascading network failure across the Alzheimer's disease spectrum.

Authors:  David T Jones; David S Knopman; Jeffrey L Gunter; Jonathan Graff-Radford; Prashanthi Vemuri; Bradley F Boeve; Ronald C Petersen; Michael W Weiner; Clifford R Jack
Journal:  Brain       Date:  2015-11-19       Impact factor: 13.501

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  1 in total

1.  The characteristics of arterial spin labeling cerebral blood flow in patients with subjective cognitive decline: The Chinese imaging, biomarkers, and lifestyle study.

Authors:  Wenyi Li; Jiwei Jiang; Xinying Zou; Yuan Zhang; Mengfan Sun; Ziyan Jia; Wei Li; Jun Xu
Journal:  Front Neurosci       Date:  2022-08-02       Impact factor: 5.152

  1 in total

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