Abstract:Neuropathological changes associated with Alzheimer’s disease (AD) precede symptom onset by more than a decade. Possession of an Apolipoprotein-E (APOE) ε4 allele is the strongest genetic risk factor for late onset AD. Cross-sectional studies of cognitively intact elders have noted smaller hippocampal/medial temporal volumes in ε4 carriers (ε4+) compared to ε4 non-carriers (ε4-). Few studies, however, have examined long-term, longitudinal, anatomical brain changes comparing healthy ε4+ and ε4- individuals. The… Show more
“…Higher baseline NfL levels were associated with greater volumetric decline in left hippocampus (33.2 mm 3 /y, p < 0.001) and mid anterior corpus callosum (7.68 mm 3 , p = 0.015), with a trend seen in the left amygdala, right thalamus, and mid corpus callosum. Higher baseline tau levels were not correlated with regional volumetric changes.…”
Section: Resultsmentioning
confidence: 92%
“…Previous work has suggested that monitoring regional brain volumes through MRI may serve as a potential tool to recognize and follow structural brain changes. 3 Measurement of hippocampal volumes has been well-studied in Alzheimer disease (AD) and is commonly used as a secondary outcome measure in AD clinical trials. 4 Similarly, we and others have reported associations between volumes of certain brain regions and exposure to RHI as well as clinical outcomes in cross-sectional studies.…”
ObjectiveThis study tests the hypothesis that certain MRI-based regional brain volumes will show reductions over time in a cohort exposed to repetitive head impacts (RHI).MethodsParticipants were drawn from the Professional Fighters Brain Health Study, a longitudinal observational study of professional fighters and controls. Participants underwent annual 3T brain MRI, computerized cognitive testing, and blood sampling for determination of neurofilament light (NfL) and tau levels. Yearly change in regional brain volume was calculated for several predetermined cortical and subcortical brain volumes and the relationship with NfL and tau levels determined.ResultsA total of 204 participants who had at least 2 assessments were included in the analyses. Compared to controls, the active boxers had an average yearly rate of decline in volumes of the left thalamus (102.3 mm3/y [p = 0.0004], mid anterior corpus callosum (10.2 mm3/y [p = 0.018]), and central corpus callosum (16.5 mm3/y [p = <0.0001]). Retired boxers showed the most significant volumetric declines compared to controls in left (32.1 mm3/y [p = 0.002]) and right (30.6 mm3/y [p = 0.008]) amygdala and right hippocampus (33.5 mm3/y [p = 0.01]). Higher baseline NfL levels were associated with greater volumetric decline in left hippocampus and mid anterior corpus callosum.ConclusionVolumetric loss in different brain regions may reflect different pathologic processes at different times among individuals exposed to RHI.
“…Higher baseline NfL levels were associated with greater volumetric decline in left hippocampus (33.2 mm 3 /y, p < 0.001) and mid anterior corpus callosum (7.68 mm 3 , p = 0.015), with a trend seen in the left amygdala, right thalamus, and mid corpus callosum. Higher baseline tau levels were not correlated with regional volumetric changes.…”
Section: Resultsmentioning
confidence: 92%
“…Previous work has suggested that monitoring regional brain volumes through MRI may serve as a potential tool to recognize and follow structural brain changes. 3 Measurement of hippocampal volumes has been well-studied in Alzheimer disease (AD) and is commonly used as a secondary outcome measure in AD clinical trials. 4 Similarly, we and others have reported associations between volumes of certain brain regions and exposure to RHI as well as clinical outcomes in cross-sectional studies.…”
ObjectiveThis study tests the hypothesis that certain MRI-based regional brain volumes will show reductions over time in a cohort exposed to repetitive head impacts (RHI).MethodsParticipants were drawn from the Professional Fighters Brain Health Study, a longitudinal observational study of professional fighters and controls. Participants underwent annual 3T brain MRI, computerized cognitive testing, and blood sampling for determination of neurofilament light (NfL) and tau levels. Yearly change in regional brain volume was calculated for several predetermined cortical and subcortical brain volumes and the relationship with NfL and tau levels determined.ResultsA total of 204 participants who had at least 2 assessments were included in the analyses. Compared to controls, the active boxers had an average yearly rate of decline in volumes of the left thalamus (102.3 mm3/y [p = 0.0004], mid anterior corpus callosum (10.2 mm3/y [p = 0.018]), and central corpus callosum (16.5 mm3/y [p = <0.0001]). Retired boxers showed the most significant volumetric declines compared to controls in left (32.1 mm3/y [p = 0.002]) and right (30.6 mm3/y [p = 0.008]) amygdala and right hippocampus (33.5 mm3/y [p = 0.01]). Higher baseline NfL levels were associated with greater volumetric decline in left hippocampus and mid anterior corpus callosum.ConclusionVolumetric loss in different brain regions may reflect different pathologic processes at different times among individuals exposed to RHI.
“…Longitudinal studies are crucial to identify genetic and environmental factors that influence the rate of these brain changes throughout development (Giedd et al, 1999;Gogtay et al, 2004;Shaw, Gogtay, & Rapoport, 2010) and aging (Raz et al, 2005). Interindividual differences in brain development are associated with general cognitive function (Ramsden et al, 2011;Schnack et al, 2015;Oschwald et al, 2019), and risk for psychiatric disorders (Shaw et al, 2009;Liberg et al, 2016) and neurological diseases (Reiter et al, 2017;Eshaghi et al, 2018;Jiskoot et al, 2019). Genetic factors involved in brain development and aging overlap with those for cognition (Brans et al, 2010;Brouwer et al, 2014) and risk for neuropsychiatric disorders (Brans et al, 2008).…”
We identified common genetic variants associated with the rate of brain development and aging, in longitudinal MRI scans worldwide.
AbstractHuman brain structure changes throughout our lives. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental, and neurodegenerative diseases. While heritable, specific loci in the genome that influence these rates are largely unknown. Here, we sought to find common genetic variants that affect rates of brain growth or atrophy, in the first genome-wide association analysis of longitudinal changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 10,163 individuals aged 4 to 99 years, on average 3.5 years apart, were used to compute rates of morphological change for 15 brain structures. We discovered 5 genome-wide significant loci and 15 genes associated with brain structural changes. Most individual variants exerted age-dependent effects. All identified genes are expressed in fetal and adult brain tissue, and some exhibit developmentally regulated expression across the lifespan. We demonstrate genetic overlap with depression, schizophrenia, cognitive functioning, height, body mass index and smoking. Several of the discovered loci are implicated in early brain development and point to involvement of metabolic processes. Gene-set findings also implicate immune processes in the rates of brain changes. Taken together, in the world's largest longitudinal imaging genetics dataset we identified genetic variants that alter agedependent brain growth and atrophy throughout our lives. a Position based on build hg19. Study-wide significant hits are displayed in bold. *This gene also showed a genome-wide significant quadratic age effect. The most parsimonious model is listed in this table.Genome-wide significant gene sets based on gene ontology. Study-wide significant gene sets are displayed in bold. a See Supplementary Table S9 for genes included in the gene set. Genes included in GO_INTERLEUKIN_1_RECEPTOR_ACTIVITY and GO_RESPONSE_TO_INTERLEUKIN_2 do not overlap.
“…However, the number of studies investigating effects of APOE polymorphisms on hippocampal subfields in healthy cohorts is very limited and the results have been inconsistent so far (de Flores et al, 2015). While some studies found that APOE ϵ2 carriers had smaller volumes in CA3/DG subfield (Mueller, Schuff, Raptentsetsang, Elman, & Weiner, 2008;Mueller & Weiner, 2009), others suggested these effects were limited to the Sub (Burggren et al, 2008;Donix et al, 2010) or affected all three subfields (Reiter et al, 2017). In addition, the associations between BDNF polymorphisms and hippocampal subfields and hippocampal subregions have not yet been investigated in healthy populations.…”
In this study, we explored the associations between the brain derived neurotrophic factor (BDNF) and the apolipoprotein E (APOE) polymorphisms and hippocampal subfields in 127 healthy participants (18–85 years). MRI datasets were collected on a 4.7 T system. Participants were administered the Wechsler Memory Scale to evaluate episodic memory function. Significant associations of both polymorphisms were present only in older adults (≥50 years). BDNF polymorphism was associated with larger dentate gyrus volumes within the anterior hippocampus (head) in Met‐carriers compared to Val/Val homozygotes. We found that in Met‐carriers total hippocampal volume predicted performance on visuospatial memory tasks. APOE polymorphism was associated with larger total hippocampal volume, especially in cornu ammonis 1–3 and subiculum in APOE ɛ2 carriers compared to both ɛ4 and ɛ3 carriers, while APOE ɛ3 and ɛ4 carriers did not differ from each other. APOE polymorphism was associated with better performance on visuospatial memory tasks in APOE ε2 carriers in comparison to ε4 carriers.
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