4.7 Article

The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide

期刊

NEUROIMAGE
卷 132, 期 -, 页码 301-313

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2016.02.051

关键词

Resting-state functional connectivity (fcMRI); Resting-state BOLD fMRI (rs-fMRI); Cerebrovascular reactivity (CVR); End-tidal CO2 (PETCO2); Vascular tension; Amplitude of low-frequency fluctuations (ALFF)

资金

  1. Natural Sciences and Engineering Council of Canada (NSERC) [418443]
  2. Canadian Institutes of Health Research (CIHR) [286286]
  3. Heart and Stroke Foundation Centre for Stroke Recovery

向作者/读者索取更多资源

Although widely used in resting-state fMRI (fMRI) functional connectivity measurement (fcMRI), the BOLD signal is only an indirect measure of neuronal activity, and is inherently modulated by both neuronal activity and vascular physiology. For instance, cerebrovascular reactivity (CVR) varies widely across individuals irrespective of neuronal function, but the implications for fcMRI are currently unknown. This knowledge gap compromises our ability to correctly interpret fcMRI measurements. In this work, we investigate the relationship between CVR and resting fcMRI measurements in healthy young adults, in both the motor and the executive-control networks. We modulate CVR within each individual by subtly increasing and decreasing resting vascular tension through baseline end-tidal CO2 (PETCO2), and measure fcMRI during these hypercapnic, hypocapnic and normocapnic states. Furthermore, we assess the association between CVR and fcMRI within and across individuals. Within individuals, resting PETCO2 is found to significantly influence both CVR and resting fcMRI values. In addition, we find resting fcMRI to be significantly and positively associated with CVR across the group in both networks. This relationship is potentially mediated by concomitant alterations in BOLD signal fluctuation amplitude. This work clearly demonstrates and quantifies a major vascular modulator of resting fcMRI, one that is also subject and regional dependent. We suggest that individualized correction for CVR effects in fcMRI measurements is essential for fcMRI studies of healthy brains, and can be even more important in studying diseased brains. (C) 2016 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Interdisciplinary Applications

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility

Mathew Birdsall Abrams, Jan G. Bjaalie, Samir Das, Gary F. Egan, Satrajit S. Ghosh, Wojtek J. Goscinski, Jeffrey S. Grethe, Jeanette Hellgren Kotaleski, Eric Tatt Wei Ho, David N. Kennedy, Linda J. Lanyon, Trygve B. Leergaard, Helen S. Mayberg, Luciano Milanesi, Roman Moucek, J. B. Poline, Prasun K. Roy, Stephen C. Strother, Tong Boon Tang, Paul Tiesinga, Thomas Wachtler, Daniel K. Wojcik, Maryann E. Martone

Summary: There is a great need for coordination around standards and best practices in neuroscience to address challenges in data science. Developing community standards and gaining their adoption is difficult, as the current landscape is characterized by a lack of robust, validated standards and a plethora of underdeveloped and underutilized standards and best practices. An independent organization, the International Neuroinformatics Coordinating Facility (INCF), is dedicated to promoting data sharing in neuroscience and has implemented procedures for evaluating and endorsing community standards and best practices.

NEUROINFORMATICS (2022)

Correction Computer Science, Interdisciplinary Applications

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility (Jan, 10.1007/s12021-020-09509-0, 2021)

Mathew Birdsall Abrams, Jan G. Bjaalie, Samir Das, Gary F. Egan, Satrajit S. Ghosh, Wojtek J. Goscinski, Jeffrey S. Grethe, Jeanette Hellgren Kotaleski, Eric Tatt Wei Ho, David N. Kennedy, Linda J. Lanyon, Trygve B. Leergaard, Helen S. Mayberg, Luciano Milanesi, Roman Moucek, J. B. Poline, Prasun K. Roy, Stephen C. Strother, Tong Boon Tang, Paul Tiesinga, Thomas Wachtler, Daniel K. Wojcik, Maryann E. Martone

NEUROINFORMATICS (2022)

Review Psychiatry

Brain age in mood and psychotic disorders: a systematic review and meta-analysis

Pedro L. Ballester, Maria T. Romano, Taiane de Azevedo Cardoso, Stefanie Hassel, Stephen C. Strother, Sidney H. Kennedy, Benicio N. Frey

Summary: The study conducted a systematic review and meta-analysis to evaluate accelerated brain aging in individuals with mood or psychotic disorders. The results showed that individuals with these disorders may undergo a process of accelerated brain aging, with older individuals showing a more pronounced brain age gap, indicating a possible cumulative biological effect of illness burden.

ACTA PSYCHIATRICA SCANDINAVICA (2022)

Article Neurosciences

Exploring brain connectivity changes in major depressive disorder using functional-structural data fusion: A CAN-BIND-1 study

Sondos Ayyash, Andrew D. Davis, Gesine L. Alders, Glenda MacQueen, Stephen C. Strother, Stefanie Hassel, Mojdeh Zamyadi, Stephen R. Arnott, Jacqueline K. Harris, Raymond W. Lam, Roumen Milev, Daniel J. Mueller, Sidney H. Kennedy, Susan Rotzinger, Benicio N. Frey, Luciano Minuzzi, Geoffrey B. Hall

Summary: There is a growing interest in exploring the data fusion analysis of functional and structural imaging sources. A novel processing pipeline, FATCAT-awFC, was developed to identify connectivity changes in MDD patients compared to healthy individuals, revealing significant differences in specific brain networks. By combining structural and functional data, this method enhances our understanding of the intricate relationship between structural and functional connectivity in depression.

HUMAN BRAIN MAPPING (2021)

Article Neurosciences

Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study

Aras Kayvanrad, Stephen R. Arnott, Nathan Churchill, Stefanie Hassel, Aditi Chemparathy, Fan Dong, Mojdeh Zamyadi, Tom Gee, Robert Bartha, Sandra E. Black, Jane M. Lawrence-Dewar, Christopher J. M. Scott, Sean Symons, Andrew D. Davis, Geoffrey B. Hall, Jacqueline Harris, Nancy J. Lobaugh, Glenda MacQueen, Cindy Woo, Stephen Strother

Summary: Quality assurance (QA) is crucial in longitudinal and/or multi-site studies to monitor scanner performance over time and location, detecting and controlling for intrinsic differences and changes in scanner performance. Using phantom scans and QA parameters, variations in image resolution measured by the FWHM were identified as a primary source of variance over time for many sites, as well as between sites and between manufacturers. An unexpected range of instabilities affecting individual slices in a number of scanners were also found, with a preprocessing approach to reduce variance and alleviate anomalies identified.

NEUROIMAGE (2021)

Article Clinical Neurology

Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease

F. Elizabeth Godkin, Erin Turner, Youness Demnati, Adam Vert, Angela Roberts, Richard H. Swartz, Paula M. McLaughlin, Kyle S. Weber, Vanessa Thai, Kit B. Beyer, Benjamin Cornish, Agessandro Abrahao, Sandra E. Black, Mario Masellis, Lorne Zinman, Derek Beaton, Malcolm A. Binns, Vivian Chau, Donna Kwan, Andrew Lim, Douglas P. Munoz, Stephen C. Strother, Kelly M. Sunderland, Brian Tan, William E. McIlroy, Karen Van Ooteghem

Summary: The study found that continuous multi-sensor remote health monitoring is feasible in individuals with cerebrovascular disease or neurodegenerative disease, with high adherence to device wearing, mainly during daytime, and positive feedback from both participants and study partners.

JOURNAL OF NEUROLOGY (2022)

Article Neurosciences

Resting-state functional magnetic resonance imaging signal variations in aging: The role of neural activity

Xiaole Z. Zhong, J. Jean Chen

Summary: This study investigates the age and sex effects on the frequency content of the rs-fMRI signal using the Leipzig mind-brain-body data set. The findings demonstrate that the rs-fMRI fluctuation frequency is higher in older adults, and men have higher rs-fMRI frequency than women. The effects of age and sex on fMRI frequency vary with frequency band examined.

HUMAN BRAIN MAPPING (2022)

Article Neurosciences

Insights from auditory cortex for GABA plus magnetic resonance spectroscopy studies of aging

Simon Dobri, J. Jean Chen, Bernhard Ross

Summary: This study investigated the impact of aging on brain function and GABA levels. The results showed a decline in GABA levels during aging, but the ratio of GABA+ to creatine and N-acetyl aspartate also decreased. Young and older adults showed hemispheric asymmetry in GABA+ measures. By considering multiple GABA+ measures and different reference signals, the evidence for an aging-related decline in auditory cortex GABA levels was strengthened.

EUROPEAN JOURNAL OF NEUROSCIENCE (2022)

Article Geriatrics & Gerontology

DKI enhances the sensitivity and interpretability of age-related DTI patterns in the white matter of UK biobank participants

Hiba T. Taha, Jordan A. Chad, J. Jean Chen

Summary: This study utilizes diffusion kurtosis imaging to investigate diffusion patterns in the aging brain, revealing lower kurtosis and higher diffusivity in older adults, with kurtosis being more sensitive to age.

NEUROBIOLOGY OF AGING (2022)

Article Neurosciences

Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State fMRI

Ali M. Golestani, J. Jean Chen

Summary: Effective separation of signal from noise is a challenge in improving the sensitivity and specificity of resting-state fMRI measurements. Independent component analysis (ICA) is a useful approach for addressing this challenge. Our study found that spatial ICA (sICA) can identify more noise-related signal components, while temporal ICA (tICA) performs better in dealing with physiological effects.

FRONTIERS IN NEUROSCIENCE (2022)

Article Psychiatry

Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study

Farhana Islam, Victoria S. Marshe, Leen Magarbeh, Benicio N. Frey, Roumen Milev, Claudio N. Soares, Sagar Parikh, Franca Placenza, Stephen C. Strother, Stefanie Hassel, Valerie H. Taylor, Francesco Leri, Pierre Blier, Rudolf Uher, Faranak Farzan, Raymond W. Lam, Gustavo Turecki, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Daniel J. Mueller

Summary: Cytochrome P450 drug-metabolizing enzymes, specifically CYP2C19 and CYP2D6 gene variants, have an impact on antidepressant outcomes. Poor metabolizers of CYP2C19 and CYP2D6 show less symptom improvement during treatment with escitalopram alone and are more likely to experience central nervous system side effects when taking escitalopram alone or in combination with aripiprazole.

TRANSLATIONAL PSYCHIATRY (2022)

Article Neurosciences

Modeling the dynamics of cerebrovascular reactivity to carbon dioxide in fMRI under task and resting-state conditions

Seyedmohammad Shams, Prokopis Prokopiou, Azin Esmaelbeigi, Georgios D. Mitsis, J. Jean Chen

Summary: Conventionally, cerebrovascular reactivity (CVR) is estimated as the amplitude of the hemodynamic response to vascular stimuli, most commonly carbon dioxide (CO2). While the CVR amplitude has established clinical utility, the temporal characteristics of CVR (dCVR) have been increasingly explored and may yield even more pathology-sensitive parameters. This work compares several model-based deconvolution approaches for estimating the CO2 response function and proposes a novel simulation framework to aid the comparison. The findings suggest that model-based methods can accurately estimate dCVR even amidst high noise and provide a quantitative basis for methodological choices.

NEUROIMAGE (2023)

Article Endocrinology & Metabolism

Is adiposity associated with white matter microstructural health and intelligence differently in males and females?

Arjun Patel, Jordan A. A. Chad, J. Jean Chen

Summary: This study explores the relationship between obesity and brain health, specifically focusing on the differences between males and females. The findings suggest that there are sex differences in the association between adiposity and intelligence as well as white matter microstructure. This highlights the importance of considering sex-driven differences when studying the impact of obesity on brain degeneration.

OBESITY (2023)

Article Neuroimaging

Accelerated brain aging in major depressive disorder and antidepressant treatment response: A CAN-BIND report

Pedro L. Ballester, Jee Su Suh, Nikita Nogovitsyn, Stefanie Hassel, Stephen C. Strother, Stephen R. Arnott, Luciano Minuzzi, Roberto B. Sassi, Raymond W. Lam, Roumen Milev, Daniel J. Muller, Valerie H. Taylor, Sidney H. Kennedy, Benicio N. Frey

Summary: The study found an elevated brain age gap in older individuals with major depressive disorder (MDD). Additionally, body mass index (BMI) was significantly associated with brain age gap in the MDD group. However, the brain age gap was not significantly associated with treatment response.

NEUROIMAGE-CLINICAL (2021)

Meeting Abstract Clinical Neurology

Distinct memory networks in Parkinson's disease (PD) and Alzheimer's disease (AD): Effects of APOE

G. Coughlan, P. McLaughlin, K. Sunderland, M. Borrie, C. Fischer, A. Frank, M. Freedman, S. Kumar, S. Pasternak, B. Pollock, T. Rajji, D. Seitz, D. Tang-Wai, C. Tartaglia, J. Dewar, D. Kwan, B. Tan, D. Grimes, M. Jog, T. Lang, C. Marras, T. Steeves, D. Bulman, A. Dilliott, M. Ghani, R. Hegele, J. Robinson, E. Rogaeva, S. Farhan, R. Bartha, N. Nanayakkara, J. Ramirez, C. Scott, S. Symons, C. Berezuk, M. Holmes, S. Adamo, M. Ozzoude, A. Theyers, S. Arnott, D. Beaton, W. Lou, S. Sujanthan, B. Levine, J. Orange, A. Peltsch, A. Roberts, A. Troyer, M. Binns, S. Black, S. Strother, M. Moscovitch, C. Grady, M. Masellis

MOVEMENT DISORDERS (2021)

Article Neurosciences

Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models

Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle

Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.

NEUROIMAGE (2024)