A potential causal role of BOLD-derived functional network phenotypes, particularly the triple network, in motor and cognitive recovery is supported and differences in triple-network connectivity act as a partial mediator linking elevated LDL-C liability to impaired cognitive recovery.
Abstract
Intrinsic brain networks are crucial for post-stroke recovery, but the causal relationships between specific networks and domain-specific recovery outcomes, as well as the role of lipid metabolism, remain unclear. This study leveraged Mendelian randomization (MR) to evaluate 191 resting-state functional magnetic resonance imaging (rs-fMRI) BOLD-derived phenotypes in relation to post-stroke recovery after nondisabling ischemic stroke. Genetic instruments for rs-fMRI phenotypes were derived from a UK Biobank genome-wide association study (n = 34,691). Outcomes included motor, cognitive, and global recovery after nondisabling ischemic stroke, assessed using longitudinal National Institutes of Health Stroke Scale subscales over 2 years (n = 1,270). Primary analyses used the multiplicative random-effects inverse-variance weighted method. A two-step MR analysis investigated whether brain networks mediate the effects of lipids on post-stroke outcomes. Higher BOLD-derived functional connectivity within the triple network (default mode network, central executive network, and salience network) was associated with better motor and cognitive outcomes. Higher genetically predicted orbitofrontal node amplitude in the limbic network correlated with better motor recovery, while stronger parieto-frontal connectivity was associated with cognitive recovery. Genetically proxied higher low-density lipoprotein cholesterol (LDL-C) was associated with poorer cognitive recovery, with evidence suggesting partial mediation through differences in BOLD-derived triple-network connectivity. This MR study supports a potential causal role of BOLD-derived functional network phenotypes, particularly the triple network, in motor and cognitive recovery, and further suggests that differences in triple-network connectivity act as a partial mediator linking elevated LDL-C liability to impaired cognitive recovery. These findings provide hypothesis-generating evidence for future mechanistic studies and for exploring whether specific brain network-targeted interventions could have a role in stroke recovery.
It is revealed that the genetically predisposed higher risk of diabetic maculopathy was associated with increased salience network connectivity, shedding light on the neural drivers of diabetic pathologies.
Lin Chen, Hsin-Yu Hsieh, Nan Cheng et al.· Brain Research Bulletin· 0 citations
Abstract Stroke is a major cause of long-term disability with variable recovery. While clinical factors such as initial severity play a role, genetic factors are increasingly recognized as important contributors to stroke recovery. Genotype studies are generally focused on a single post-stroke behavioural domain, but s...
Chad M. Aldridge, R. Braun, L. Parodi et al.· Brain Communications· 0 citations
Background Subclinical metabolic disturbances have been associated with functional brain changes; however, the neural pathways mediating their cognitive effects remain unclear. Objectives This study investigated whether large-scale brain network connectivity mediates associations between metabolic risk factors and cogn...
Y. Soleymani, Seyed Amir Hossein Batouli, K. Khalagi et al.· International Journal of End...· 0 citations
Subacute rs-fMRI connectomic disruption is a strong, independent, internally validated predictor of PSE that outperforms clinical variables and external multicentre validation is warranted before clinical adoption.
Despian Januandri, Brenda Jaleel, Reza Andrianto· Sriwijaya Journal of Radiol...· 0 citations
It is suggested that subtle differences in higher-order functional brain network organization associated with metabolic syndrome can be detected during midlife and are related to cognitive functioning, highlighting the importance of prevention and intervention of cardiometabolic risk in midlife to preserve network inte...
Isabelle Gallagher, Makenna B. McGill, David M. Schnyer et al.· Frontiers in Aging Neuroscie...· 0 citations
We present a resting-state fMRI-based protocol for quantifying anatomical distance-dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed...
Qiong-Ge Li, Y. Xing, Shan Yi et al.· American Journal of Alzheime...· 0 citations
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