Distinct BOLD variability changes in the default mode and salience networks in Alzheimer's disease spectrum and associations with cognitive decline.

Autor: Zhang L; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Memory Ageing and Cognition Centre, National University Health System, Singapore, Singapore.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Zuo XN; Research Centre for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing, China., Ng KK; Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Chong JSX; Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Shim HY; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Ong MQW; Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Loke YM; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Choo BL; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore., Chong EJY; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Memory Ageing and Cognition Centre, National University Health System, Singapore, Singapore., Wong ZX; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Memory Ageing and Cognition Centre, National University Health System, Singapore, Singapore., Hilal S; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Memory Ageing and Cognition Centre, National University Health System, Singapore, Singapore., Venketasubramanian N; Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore., Tan BY; St. Luke's Hospital, Singapore, Singapore., Chen CL; Department of Pharmacology, National University of Singapore, Singapore, Singapore.; Memory Ageing and Cognition Centre, National University Health System, Singapore, Singapore., Zhou JH; Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. helen.zhou@nus.edu.sg.; Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore. helen.zhou@nus.edu.sg.; Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University Health System, Singapore, Singapore. helen.zhou@nus.edu.sg.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2020 Apr 15; Vol. 10 (1), pp. 6457. Date of Electronic Publication: 2020 Apr 15.
DOI: 10.1038/s41598-020-63540-4
Abstrakt: Optimal levels of intrinsic Blood-Oxygenation-Level-Dependent (BOLD) signal variability (variability hereafter) are important for normative brain functioning. However, it remains largely unknown how network-specific and frequency-specific variability changes along the Alzheimer's disease (AD) spectrum and relates to cognitive decline. We hypothesized that cognitive impairment was related to distinct BOLD variability alterations in two brain networks with reciprocal relationship, i.e., the AD-specific default mode network (DMN) and the salience network (SN). We examined variability of resting-state fMRI data at two characteristic slow frequency-bands of slow4 (0.027-0.073 Hz) and slow5 (0.01-0.027 Hz) in 96 AD, 98 amnestic mild cognitive impairment (aMCI), and 48 age-matched healthy controls (HC) using two commonly used pre-processing pipelines. Cognition was measured with a neuropsychological assessment battery. Using both global signal regression (GSR) and independent component analysis (ICA), results generally showed a reciprocal DMN-SN variability balance in aMCI (vs. AD and/or HC), although there were distinct frequency-specific variability patterns in association with different pre-processing approaches. Importantly, lower slow4 posterior-DMN variability correlated with poorer baseline cognition/smaller hippocampus and predicted faster cognitive decline in all patients using both GSR and ICA. Altogether, our findings suggest that reciprocal DMN-SN variability balance in aMCI might represent an early signature in neurodegeneration and cognitive decline along the AD spectrum.
Databáze: MEDLINE
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