Disentangling the effects of age and mild traumatic brain injury on brain network connectivity: A resting state fMRI study

Autor: Mayra Bittencourt-Villalpando, H. J. van der Horn, Natasha M. Maurits, J. van der Naalt
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Adult
Male
medicine.medical_specialty
Aging
Traumatic brain injury
Cognitive Neuroscience
Poison control
Audiology
lcsh:Computer applications to medicine. Medical informatics
050105 experimental psychology
lcsh:RC346-429
Resting-state
Young Adult
03 medical and health sciences
0302 clinical medicine
mTBI
Injury prevention
Humans
Medicine
0501 psychology and cognitive sciences
Radiology
Nuclear Medicine and imaging
Cognitive skill
Brain connectivity
Cognitive decline
Brain Concussion
Default mode network
lcsh:Neurology. Diseases of the nervous system
Brain Mapping
Resting state fMRI
business.industry
05 social sciences
fMRI
Brain
Regular Article
Cognition
Middle Aged
medicine.disease
Magnetic Resonance Imaging
Neurology
lcsh:R858-859.7
Female
Neurology (clinical)
Nerve Net
business
030217 neurology & neurosurgery
Zdroj: NeuroImage. Clinical, 29:102534. ELSEVIER SCI LTD
NeuroImage: Clinical, Vol 29, Iss, Pp 102534-(2021)
NeuroImage : Clinical
ISSN: 2213-1582
Popis: Highlights • Aging affects brain network connectivity more strongly than mTBI. • Effects of aging are most evident in the default mode and cognitive domains. • mTBI might alter the frequency spectrum of the cerebellar network.
Introduction Cognitive complaints are common shortly after mild traumatic brain injury (mTBI) but may persist up to years. Age-related cognitive decline can worsen these symptoms. However, effects of age on mTBI sequelae have scarcely been investigated. Methods Fifty-four mTBI patients (median age: 35 years, range 19–64 years, 67% male) and twenty age- and sex-matched healthy controls were studied using resting state functional magnetic resonance imaging in the sub-acute phase. Independent component analysis was used to identify intrinsic connectivity networks (ICNs). A multivariate approach was adopted to evaluate the effects of age and group on the ICNs in terms of (static) functional network connectivity (FNC), intensities of spatial maps (SMs) and time-course spectral power (TC). Results We observed significant age-related changes for a) FNC: changes between 10 pairs of ICNs, mostly involving the default mode (DM) and/or the cognitive-control (CC) domains; b) SMs: intensity decrease in clusters across three domains and intensity increase in clusters across two domains, including the CC but not the DM and c) TC: spectral power decrease within the 0–0.15 Hz range and increase within the 0.20–0.25 Hz range for increasing age within networks located in frontal areas, including the anterior DM. Groups only differed for TC within the 0.065–0.10 Hz range in the cerebellar ICN and no age × group interaction effect was found. Conclusions We showed robust effects of age on connectivity between and within ICNs that are associated with cognitive functioning. Differences between mTBI patients and controls were only found for activity in the cerebellar network, increasingly recognized to participate in cognition. Our results suggest that to allow for capturing the true effects related to mTBI and its effects on cognitive functioning, age should be included as a covariate in mTBI studies, in addition to age-matching groups.
Databáze: OpenAIRE
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