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White matter hyperintensities and within-person variability in community-dwelling adults aged 60โ64 years
Estimates of white matter hyperintensities (WMH) derived from T2-weighted MRI were investigated in relation to cognitive performance in 469 healthy community-dwelling adults aged 60โ64 years. Frontal lobe WMH but not WMH from other brain regions (temporal, parietal, and occipital lobes, anterior and posterior horn, periventricular body) were associated with elevated within-person reaction time (RT) variability (trial to trial fluctuations in RT performance) but not performance on several other cognitive tasks including psychomotor speed, memory, and global cognition. The findings are consistent with the view that elevated within-person variability is related to neurobiological disturbance, and that attentional mechanisms supported by the frontal cortex play a key role in this type of variability
Cognitive Deficits Are Associated with Frontal and Temporal Lobe White Matter Lesions in Middle-Aged Adults Living in the Community
BACKGROUND The association between brain white matter lesions and cognitive impairment in old age is well established. However, little is known about this association in midlife. As this information will inform policy for early preventative healthcare initiatives, we investigated non-periventricular frontal, temporal, parietal and occipital lobe white matter hyperintensities (WMH) in relation to cognitive function in 428 (232 women) community-dwelling adults aged 44 to 48 years. RESULTS Frontal white matter lesions were significantly associated with greater intraindividual RT variability in women, while temporal WMH were associated with face recognition deficits in men. Parietal and occipital lobe lesions were unrelated to cognitive performance. These findings did not differ when education and a range of health variables, including vascular risk factors, were taken into account. CONCLUSION Gender differences in WMH-cognition associations are discussed, and we conclude that small vessel disease is present in midlife and has functional consequences which are generally not recognized. Preventative strategies should, therefore, begin early in life.David Bunce's collaboration in this work was supported by the Leverhulme Trust and the British Academy. The study was funded by NHMRC of Australia Unit Grant No. 973302, Program Grant No. 179805, NHMRC project grant No. 157125, grants from the Australian Rotary Health Research Fund and the Australian Brewers Foundation. Nicolas Cherbuin is funded by NHMRC Research Fellowship No. 471501. Kaarin Anstey is funded by NHMRC Research Fellowship No. 366756. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript
Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.
White matter hyperintensities (WMH) are frequently divided into periventricular (PWMH) and deep (DWMH), and the two classes have been associated with different cognitive, microstructural, and clinical correlates. However, although this distinction is widely used in visual ratings scales, how to best anatomically define the two classes is still disputed. In fact, the methods used to define PWMH and DWMH vary significantly between studies, making results difficult to compare. The purpose of this study was twofold: first, to compare four current criteria used to define PWMH and DWMH in a cohort of healthy older adults (mean age: 69.58 ยฑ 5.33 years) by quantifying possible differences in terms of estimated volumes; second, to explore associations between the two WMH sub-classes with cognition, tissue microstructure and cardiovascular risk factors, analysing the impact of different criteria on the specific associations. Our results suggest that the classification criterion used for the definition of PWMH and DWMH should not be considered a major obstacle for the comparison of different studies. We observed that higher PWMH load is associated with reduced cognitive function, higher mean arterial pressure and age. Higher DWMH load is associated with higher body mass index. PWMH have lower fractional anisotropy than DWMH, which also have more heterogeneous microstructure. These findings support the hypothesis that PWMH and DWMH are different entities and that their distinction can provide useful information about healthy and pathological aging processes
Cognitive Deficits Are Associated with Frontal and Temporal Lobe White Matter Lesions in Middle-Aged Adults Living in the Community
Background: The association between brain white matter lesions and cognitive impairment in old age is well established. However, little is known about this association in midlife. As this information will inform policy for early preventative healthcare initiatives, we investigated non-periventricular frontal, temporal, parietal and occipital lobe white matter hyperintensities (WMH) in relation to cognitive function in 428 (232 women) community-dwelling adults aged 44 to 48 years. Results: Frontal white matter lesions were significantly associated with greater intraindividual RT variability in women, while temporal WMH were associated with face recognition deficits in men. Parietal and occipital lobe lesions were unrelated to cognitive performance. These findings did not differ when education and a range of health variables, including vascular risk factors, were taken into account. Conclusion: Gender differences in WMH-cognition associations are discussed, and we conclude that small vessel disease is present in midlife and has functional consequences which are generally not recognized. Preventative strategies should, therefore, begin early in life
Different patterns of white matter degeneration using multiple diffusion indices and volumetric data in mild cognitive impairment and Alzheimer patients
Alzheimeลs disease (AD) represents the most prevalent neurodegenerative disorder that causes cognitive decline in old age. In its early stages, AD is associated with microstructural abnormalities in white matter (WM). In the current study, multiple indices of diffusion tensor imaging (DTI) and brain volumetric measurements were employed to comprehensively investigate the landscape of AD pathology. The sample comprised 58 individuals including cognitively normal subjects (controls), amnestic mild cognitive impairment (MCI) and AD patients. Relative to controls, both MCI and AD subjects showed widespread changes of anisotropic fraction (FA) in the corpus callosum, cingulate and uncinate fasciculus. Mean diffusivity and radial changes were also observed in AD patients in comparison with controls. After controlling for the gray matter atrophy the number of regions of significantly lower FA in AD patients relative to controls was decreased; nonetheless, unique areas of microstructural damage remained, e.g., the corpus callosum and uncinate fasciculus. Despite sample size limitations, the current results suggest that a combination of secondary and primary degeneration occurrs in MCI and AD, although the secondary degeneration appears to have a more critical role during the stages of disease involving dementia
Associations between reaction time measures and white matter hyperintensities in very old age.
In old age, a relationship has been reported between intraindividual variability (IIV) in reaction time and white matter integrity as evidenced by white matter hyperintensities (WMH). However, it is unclear how far such associations are due to incipient neurodegenerative pathology in the samples investigated. The present study examined the relationship between IIV and WMH in older individuals (N=526) drawn from the Sydney Memory and Ageing Study. Using a complex reaction time (RT) task, greater IIV and mean-RT were related to a higher WMH burden in the frontal lobe. Critically, significant associations remained having taken future dementia into account suggesting that they were not explained by incipient dementia. Additionally, independent measures of executive function accounted for the association between RT metrics and WHM. The results are consistent with the view that frontally-supported cognitive processes are involved in IIV-WMH relations, and that RT measures are sensitive to compromise in white matter structures in non-demented older individuals
Cardiovascular health and brain aging : a population-based MRI study
Deterioration of brain structure and cognitive function occurs as individuals reach advanced
age. The former can be observed through various markers of cerebral small vessel disease on
magnetic resonance imaging (MRI) scans and the later can be assessed by neuropsychological
tests and clinical examinations. In addition, maintaining a favorable cardiovascular health
(CVH) status may contribute to delaying brain aging. Having a higher cognitive reserve (CR)
capacity may contribute to preserving cognitive function even in the presence of brain damage.
In this thesis, we aimed to examine the progression and interrelationships of MRI markers of
structural brain aging and the association between the progression of these markers and
cognitive decline. Furthermore, we aimed to investigate whether maintaining a favorable CVH
status would be related to a slower deterioration of brain structure and whether having a higher
CR capacity would be associated with a lower risk of cognitive deterioration and death. Data
were derived from the population-based Swedish National study on Aging and Care in
Kungsholmen from 2001โ2004 to 2016โ2019 and the MRI sub-study from 2001โ2003 to
2007โ2010.
Study I: This six-year follow-up study showed that the progression rate of cerebral small
vessel disease markers including expansion rates of white matter hyperintensities (WMHs) and
lateral ventricles, incidence of lacunes, and shrinkage rate of gray matter volume, but not the
progression rate of perivascular spaces (PVSs), steadily increased with aging (P < 0.05). The
progression rate of regional WMHs was faster in males than in females and in people without a
university degree than those with a degree (P < 0.05). In addition, a higher load of
microvascular lesions (i.e., WMHs, PVSs, and lacunes) at baseline was related to faster
progression of both microvascular lesions (WMHs and lacunes) and gray matter atrophy (P <
0.05).
Study II: This follow-up study showed that a greater burden of WMHs at baseline was
associated with a faster decline in executive function, letter fluency, perceptual speed, and
global cognition over 15 years (P < 0.05), but not in episodic or semantic memory. The faster
deterioration in category fluency was linked to greater periventricular WMHs at baseline only
in people carrying the APOE-ฮต4 allele (multivariable-adjusted ฮฒ-coefficients and 95%
confidence interval [CI]: -0.018, -0.031โ -0.004). Accelerated decline in perceptual speed over
15 years was linked to a faster increase in deep and periventricular WMHs during the first six
years, and accelerated decline in executive function and global cognition was linked to a faster
increase in deep WMHs during the first six years (P < 0.05).
Study III: This six-year follow-up study showed that compared to the unfavorable global CVH
profile, the intermediate-to-favorable profiles were associated with a slower accumulation of
WMHs (multivariable-adjusted ฮฒ-coefficients and 95% CI: -0.019, -0.035โ -0.002 and -0.018, -
0.034โ -0.001, respectively). Intermediate-to-favorable biological CVH profiles were
associated with a slower WMH increase among people aged 60โ72 years, but not in those aged
78 years and above. Furthermore, a higher metabolic genetic risk was linked to a faster
accumulation of WMHs in people with intermediate-to-favorable global or behavioral CVH
profiles, but not in those with favorable CVH profiles (P for both interactions = 0.001).
Study IV: This 15-year follow-up study revealed that a higher composite CR score, which was
estimated from early-life education, midlife work complexity, late-life leisure activities, and
late-life social network, was associated with a reduced risk of transition from normal cognition
to cognitive impairment, no dementia (CIND) (multivariable-adjusted hazards ratio and 95%
CI: 0.78, 0.72โ0.85) and death (0.85, 0.79โ0.93) and from CIND to death (0.82, 0.73โ0.91), but
not from CIND to dementia neither from CIND to normal cognition (P > 0.05). The risk of
transitions from normal cognition to CIND or death did not change after controlling for brain
aging markers, while the risk of transition from CIND to death became not significant.
Furthermore, a higher CR score was associated with a lower risk of transition from CIND to
death among people aged 60โ72 years (0.65, 0.54โ0.77) while not among those aged 78 years
and above (0.87, 0.75โ1.01) (P for interaction = 0.010).
Conclusions: First, the deterioration of brain structure accelerates with advancing age. Cerebral
microvascular lesions are associated with accelerated brain atrophy. Second, WMHs are linked
to an accelerated decline in multiple cognitive domains except memory. A faster accumulation
of WMHs in deep brain regions is associated with an accelerated decline in perceptual speed
and executive function. Third, having a favorable CVH profile is associated with a slower
progression of structural brain aging attributable to metabolic genetic risk. Finally, having a
greater CR capacity might play a crucial role in preserving cognitive health and reducing
mortality rate in the prodromal phase of dementia, independent of brain aging markers. The
association between higher CR capacity and lower likelihood of transition from CIND to death
exists particularly among people in the early stage of older adulthood
๋ ธ์ธ์์ ์กฐ์ ์ค์ธ ๊ณ ํ์์ด ๋๋๋ฐฑ์ง๊ณ ๊ฐ๋์ ํธ์ ์ธ์ง๊ธฐ๋ฅ์ ๋ฏธ์น๋ ์ํฅ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ์์ฐ๊ณผํ๋ํ ๋์ธ์ง๊ณผํ๊ณผ, 2021.8. ์ด์์ง.์ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ : ๊ณ ํ์์ ์ธ์ง์ฅ์ ์ ์ํ์ธ์์ด๋ค. ๋ํ, ๊ณ ํ์์ ๋๋๋ฐฑ์ง๊ณ ๊ฐ๋์ ํธ (WMH)์ ์ํ์ธ์์ด๊ณ WMH๋ ์ธ์ง์ฅ์ ์ ์ํ์ธ์์ด์ง๋ง, WMH์ ๊ณ ํ์๊ณผ ์ธ์ง๊ธฐ๋ฅ๊ฐ์ ๋งค๊ฐํจ๊ณผ๋ ์์ง ์ถฉ๋ถํ ๊ฒ์ฆ๋ ์ ์ด ์๋ค. ๊ณ ํ์ํ์์์ WMH๊ฐ ์ธ์ง์ฅ์ ๋ฅผ ๋งค๊ฐํ๋ค๋ฉด, WMH์ ์กด์ฌ๋ ํฌ๊ธฐ๋ ์ธ์ง์ฅ์ ๋ฅผ ํ๋จํ ์ ์๋ ์ค์ํ ์งํ๊ฐ ๋ ๊ฒ์ด๋ค. ํ์ง๋ง ๊ฑด๊ฐํ ๋
ธ์ธ์ WMH ํ๋ฅ ์ง๋ (WMHPM)๋ WMHPM์ ํ์ฉํ ์ธ์ง์ฅ์ ์ ๋ํ ์ฐ๊ตฌ๋ ์์ง๊น์ง ์งํ๋๋ฐ ์๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ๋ ๊ฐ์ ๊ฐ์ค์ ๊ฒ์ฆํ๊ณ ์ ํ๋ค. 1) ๋น์น๋งค ๋
ธ์ธ์์์ WMH๊ฐ ์กฐ์ ๋ ๊ณ ํ์์ด ์ธ์ง๊ธฐ๋ฅ์ ๋ฏธ์น๋ ์ํฅ์ ์กฐ์ ํ๋๊ฐ? 2) WMHPM๋ฅผ ์ฌ์ฉํ์ฌ ์ถ์ ๋ WMH ๋์ด๊ฐ ์กฐ์ ๋ ๊ณ ํ์ ๋
ธ์ธ์ ํ์ฌ์ ์ธ์ง์ฅ์ ์ ๋ฏธ๋์ ์ธ์ง์ ํ๋ฅผ ์์ธกํ ์ ์๋๊ฐ?
์ฐ๊ตฌ๋ฐฉ๋ฒ: ๋ณธ ์ฐ๊ตฌ๋ ์ฃผ์ ์ ์ ํ์ ๋๋ ์ ๊ฒฝํ์ ์งํ์ด ์๋ 890๋ช
์ ์ง์ญ์ฌํ ๊ฑฐ์ฃผ 60์ธ ์ด์์ ๋น์น๋งค ๋
ธ์ธ์ ๋์์ผ๋ก ์งํํ์๋ค. ๊ทธ ์ค 368๋ช
์ด 2๋
ํ ์ถ์ ๊ฒ์ฌ๋ฅผ ํ์๋ค. WMHPM์ 300๋ช
์ ์ฃผ์ ์ ์ ํ์ ๋๋ ์ ๊ฒฝํ์ ์งํ์ด ์๊ณ ์ธ์ง๊ธฐ๋ฅ์ด ์ ์์ธ ๊ฑด๊ฐํ 60์ธ ์ด์ ์ง์ญ์ฌํ ๊ฑฐ์ฃผ๋
ธ์ธ์ผ๋ก ๊ตฌ์ฑํ์๋ค. ๋์์์ ํ์์ ์ข์ ์์ธ์์ ์๋ํ์์ธก์ ๊ธฐ๋ฅผ ์ด์ฉํ์ฌ ์ธ ๋ฒ ์ธก์ ๊ฐ์ ํ๊ท ๊ฐ์ ์ด์ฉํ์๋ค. ์กฐ์ ๋ ๊ณ ํ์ (cHT)์ ๊ณ ํ์๋ณ๋ ฅ์ด ์๊ณ ์ธก์ ๋ ์์ถ๊ธฐ ํ์์ด 140 mm Hg ๋ฏธ๋ง์ด๋ฉด์ ์ด์๊ธฐ ํ์์ 90 mm Hg ๋ฏธ๋ง์ธ ์๋ก ์ ์ํ์๋ค. ๋ฎ์ ์์ถ๊ธฐ ํ์ (LSBP)๋ ์ธก์ ๋ ์์ถ๊ธฐ ํ์์ด 110 mm Hg ์ดํ์ธ ์๋ก ์ ์ํ์๊ณ , ๋ฎ์ ์ด์๊ธฐ ํ์ (LDBP)๋ ์ธก์ ๋ ์ด์๊ธฐ ํ์์ด 60 mm Hg ์ดํ์ธ ์๋ก ์ ์ํ์๋ค. ์ธ์ง๊ธฐ๋ฅ์ CERAD-K ์ ๊ฒฝ์ฌ๋ฆฌ๊ฒ์ฌ, ์ ๋์ฝ๊ธฐ๋ฅํ๊ฐ, ์ซ์์ธ์ฐ๊ธฐ ๊ฒ์ฌ๋ฅผ ์ํํ์๋ค. CERAD-TS ์ ์๋ฅผ ๊ณ์ฐํ์๋ค. WMH ์ถ์ถ์ 3.0T ์ก์ฒด๊ฐ์ ์ญ์ ํ๋ณต ์๊ธฐ๊ณต๋ช
์์์ ์ด์ฉํ์๋ค. ๊ฐ์ธ์ WMH ์์๊ณผ 5๊ฐ์ ์ฐ๋ น๋์ WMHPM ์ฌ์ด์ ์ต์ ํธ์ฐจ ๊ฐ์ ๊ณ์ฐํ์ฌ ๊ฐ์ธ์ WMH ์ฐ๋ น์ ๊ณ์ฐํ์๋ค. WMH์ฐ๋ น์ด ์ค์ ์ฐ๋ น๊ณผ ๊ฐ์ ์ normal WMH ๋์ด, ๋์ ์ older WMH ๋์ด, ๋ฎ์ ์ younger WMH ๋์ด๋ก ๋ถ๋ฅํ์๋ค. WMH๊ฐ ๊ณ ํ์์ด ์ธ์ง๊ธฐ๋ฅ์ ๋ฏธ์น๋ ์ํฅ์ ์กฐ์ ํ๋์ง Baron๊ณผ Kenny ๋ฐฉ๋ฒ์ผ๋ก ๋งค๊ฐํจ๊ณผ๋ฅผ ๊ฒ์ฆํ์๋ค. ๋ก์ง์คํฑํ๊ท๋ถ์์ ์ด์ฉํ์ฌ ๊ณ ํ์๊ณผ WMH๋์ด๊ฐ ์ธ์ง์ฅ์ ์ ๋ฏธ์น๋ ์ํฅ์ ๋ถ์ํ์๋ค.
์ฐ๊ตฌ๊ฒฐ๊ณผ: cHT (p < .001), LSBP (p = .018)์ ์ํธ์์ฉ (p < .001)์ WMH์ฉ์ ์ ์ปค์ง๊ณผ ๊ด๋ จ์ด ์๋ค. WMH์ฉ์ ์ ์ธ์ง๊ธฐ๋ฅ์ ๋ฎ์ ์ํ์ ์์ ๊ด๋ จ์ด ์์๋ค (๋ชจ๋ ์ธ์ง๊ฒ์ฌ: p < .001). WMH๋ ์์ถ๊ธฐ ํ์์ด 1 mm Hg ๊ฐ์ํ ๋ ์ธ์ง๊ธฐ๋ฅ์ ์๊ฐ 0.016 ~ 0.030 ํฌ์ธํธ ๊ฐ์ํ๋ ๊ด๊ณ์ ๋งค๊ฐํ์๋ค. Younger ํน์ normal WMH ๋์ด์ ๋นํด older WMH ๋์ด ๊ตฐ์ด ๋ชจ๋ ์ธ์ง๊ธฐ๋ฅ ๊ฒ์ฌ์์ ๋ฎ์ ์ํ๋ฅ๋ ฅ์ ๋ณด์๋ค. (๋ชจ๋ ์ธ์ง๊ฒ์ฌ: p < .001; DST: p = .002 for DST). cHT (p = .002), LSBP (p = .003), LDBP (p = .013), ์ํธ์์ฉ (p = .010)์ด older WMH์ ๊ด๋ จ์ด ์์๋ค. cHT๊ตฐ ์ค older WMH ๋์ด์ธ ์ฌ๋๋ค์ ์ ์ํ์์ ๊ฐ์ง normal ํน์ younger WMH ๋์ด์ธ ์ฌ๋๋ค์ ๋นํด 2๋
ํ ์ธ์ง๊ธฐ๋ฅ์ ํ๊ฐ ๋น ๋ฅด๊ณ ๊ฒฝ๋์ธ์ง์ฅ์ ๊ฐ ๋ฐ๋ณํ ํ๋ฅ ์ด 8๋ฐฐ ๋์๋ค.
๊ฒฐ๋ก : cHT ํ์์์ LSBP๋ WMH ์ฉ์ ์ ์ฆ๊ฐ์ํด์ผ๋ก์จ ์ธ์ง๊ธฐ๋ฅ์ ํ์ ๊ด๋ จ์ด ์์๋ค. ๊ฑด๊ฐํ ๋
ธ์ธ์ WMHPM์ ์ฌ์ฉํ๋ฉด ์์ํ๊ฒฝ์์ WMH ์ฐ๋ น์ ์ถ์ ํ์ฌ ์ธ์ง์ ํ ์ํ์ด ์๋ ๊ณ ํ์ํ์๋ฅผ ๊ตฌ๋ณํด๋ผ ์ ์๋ค.Background and Objectives: Hypertension, even when controlled, is associated with cognitive impairment. Although hypertension is also associated with white matter hyperintensity (WMH) and WMH is associated with cognitive impairments, the mediation role of WMH in the association of hypertension with cognitive impairments has never been directly investigated. If WMH shows to mediate the cognitive impairments in participants with controlled hypertension, presence or volume of WMH may be a good biomarker of those who are at risk of cognitive impairments. However, neither the WMH probability map (WMHPM) of healthy older adults nor the predictive validity of WMH age estimated by WMHPM for cognitive impairments has been investigated. This study examined two main hypotheses; 1) Does cerebral WMH mediate the effect of controlled hypertension on cognitive function in nondemented older adults?; 2) Does WMH age estimated using the WMHPM predict current cognitive impairment and future cognitive decline in older adults with controlled hypertension?
Methods: We recruited 890 community-dwelling nondemented Koreans aged 60 years or older; 505 from the participants of the Korean Longitudinal Study on Cognitive Aging and Dementia and 385 from the visitors to the Dementia Clinic of the Seoul National University Bundang Hospital. Among them, 368 participants completed 2-year follow-up assessment. We constructed WMHPM using 300 community-dwelling cognitively and physically healthy Koreans aged 60 years or older; 228 from the KLOSCAD and 72 from the Gwangju Alzheimerโs & Related Dementias Study. We defined controlled hypertension (cHT) as having history of hypertension, however, office-measured systolic blood pressure (SBP) less than 140 mm Hg and office-measured diastolic blood pressure (DBP) less than 90 mm Hg; low systolic blood pressure (LSBP) as having office-measured SBP of 110 mm Hg or below; low diastolic blood pressure (LDBP) as having office-measured DBP of 60 mm Hg or below. We measured blood pressure three times in a sitting position using an automated blood pressure monitoring device. We evaluated cognitive performance using the CERAD-K Neuropsychological Assessment Battery, Frontal Assessment Battery and Digit Span Test. We calculated Consortium to Establish a Registry for Alzheimer Disease neuropsychological battery total score (CERAD-TS). We segmented and quantified WMH from 3.0 Tesla fluid attenuated inversion recovery magnetic resonance images. We estimated WMH age using the WMHPM by calculating the lowest deviance between individualโs WMH and each of the 5 age-banded WMHPMs. We classified the participants into three WMH age group; normal WMH age group whose WMH age is equal to their chronological age, younger WMH age group whose WMH age is younger than their chronological age, and the older WMH age group whose WMH age is older than their chronological age. We analyzed the mediation role of WMH on the effect of controlled hypertension on cognitive function using Baron and Kenny method of mediation analysis. We examined the effect of controlled hypertension and WMH age on the risk of incident mild cognitive impairment (MCI) using logistic regression analysis.
Results: cHT (p < .001), LSBP (p = .018), and their interaction (p < .001) were associated with WMH volume, and WMH volume was associated with negative cognitive performance (p < .001 for all cognitive performance). WMH mediated the association of LSBP on the performance of neuropsychological tests with 1 mm Hg decrease of SBP affect 0.016 to 0.030 points decrease in various cognitive tests. Compared to the younger or normal WMH age groups, the older WMH age group performed worse in all neuropsychological tests (p = .002 for DST; p < .001 for other tests). cHT (p = .002), LSBP (p = .003), LDBP (p = .013) and their interaction (p = .010) were associated with older WMH age. The cHT with the older WMH age group showed the faster cognitive decline and 8 times higher risk of incident MCI after two years than normotensive participants with the normal or younger WMH age.
Conclusion: In the cHT patients, LSBP was associated with worse cognitive performance by increasing WMH volume. If we use WMHPM of healthy older adults, we can identify older adults with controlled hypertension who are at risk of cognitive decline by estimating their WMH age in clinical settings.1. Introduction 1
1.1. Study Background 1
1.2. Purpose of Research 3
2. Methods 4
2.1. Study population 4
2.1.1. Hypothesis 1. Does cerebral WMH mediate the effect of controlled hypertension on cognitive function in nondemented older adults 4
2.1.2. Hypothesis 2. Does WMH age estimated using the WMH probability map (WMHPM) predict current cognitive impairment and future cognitive decline in older adults with controlled hypertension 4
2.2. Research ethics 5
2.3. Assessments 6
2.4. Diagnoses 6
2.5. Acquisition of brain MRI 7
2.6. Processing of brain MRI 7
2.7. Segmentation of WMH. 8
2.8. Visual rating of WMH 8
2.9. Construction of WMHPM 9
2.10. Estimation of WMH age 9
2.11. Statistical analyses 10
3. Results 12
3.1. Hypothesis 1. Does cerebral WMH mediate the effect of controlled hypertension on cognitive function in nondemented older adults 12
3.2. Hypothesis 2. Does WMH age estimated using the WMH probability map (WMHPM) predict current cognitive impairment and future cognitive decline in older adults with controlled hypertension 14
4. Discussions 17
5. Conclusions 24
Bibliography 49
๊ตญ๋ฌธ์ด๋ก 57๋ฐ
Therapeutically relevant structural and functional mechanisms triggered by physical and cognitive exercise
Corrected by: Erratum: Molecular Psychiatry (2016) 21, 1645โ1645; doi:10.1038/mp.2016.57; published online 19 April 2016. Following publication of the above article, the authors noticed that the second authorโs name was presented incorrectly. The authorโs name should have appeared as M Fiatarone Singh. The publisher regrets the error.Physical and cognitive exercise may prevent or delay dementia in later life but the neural mechanisms underlying these therapeutic benefits are largely unknown. We examined structural and functional magnetic resonance imaging (MRI) brain changes after 6 months of progressive resistance training (PRT), computerized cognitive training (CCT) or combined intervention. A total of 100 older individuals (68 females, average age=70.1, s.d.ยฑ6.7, 55-87 years) with dementia prodrome mild cognitive impairment were recruited in the SMART (Study of Mental Activity and Resistance Training) Trial. Participants were randomly assigned into four intervention groups: PRT+CCT, PRT+SHAM CCT, CCT+SHAM PRT and double SHAM. Multimodal MRI was conducted at baseline and at 6 months of follow-up (immediately after training) to measure structural and spontaneous functional changes in the brain, with a focus on the hippocampus and posterior cingulate regions. Participants' cognitive changes were also assessed before and after training. We found that PRT but not CCT significantly improved global cognition (F(90)=4.1, P<0.05) as well as expanded gray matter in the posterior cingulate (Pcorrected <0.05), and these changes were related to each other (r=0.25, P=0.03). PRT also reversed progression of white matter hyperintensities, a biomarker of cerebrovascular disease, in several brain areas. In contrast, CCT but not PRT attenuated decline in overall memory performance (F(90)=5.7, P<0.02), mediated by enhanced functional connectivity between the hippocampus and superior frontal cortex. Our findings indicate that physical and cognitive training depend on discrete neuronal mechanisms for their therapeutic efficacy, information that may help develop targeted lifestyle-based preventative strategies.Molecular Psychiatry advance online publication, 22 March 2016; doi:10.1038/mp.2016.19.C Suo, M Fiatarone Singh, N Gates, W Wen, P Sachdev, H Brodaty, N Saigal, GC Wilson, J Meiklejohn, N Singh, BT Baune, M Baker, N Foroughi, Y Wang, Y Mavros, A Lampit, I Leung, and MJ Valenzuel
Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
Aims/hypothesis: Type 2 diabetes mellitus has been associated with brain atrophy and cognitive decline, but the association with ischaemic white matter lesions is unclear. Previous neuroimaging studies have mainly used semiquantitative rating scales to measure atrophy and white matter lesions (WMLs). In this study we used an automated segmentation technique to investigate the association of type 2 diabetes, several diabetes-related risk factors and cognition with cerebral tissue and WML volumes. Subjects and methods: Magnetic resonance images of 99 patients with type 2 diabetes and 46 control participants from a population-based sample were segmented using a k-nearest neighbour classifier trained on ten manually segmented data sets. White matter, grey matter, lateral ventricles, cerebrospinal fluid not including lateral ventricles, and WML volumes were assessed. Analyses were adjusted for age, sex, level of education and intracranial volume. Results: Type 2 diabetes was associated with a smaller volume of grey matter (-21.8 ml; 95% CI -34.2, -9.4) and with larger lateral ventricle volume (7.1 ml; 95% CI 2.3, 12.0) and with larger white matter lesion volume (56.5%; 95% CI 4.0, 135.8), whereas white matter volume was not affected. In separate analyses for men and women, the effects of diabetes were only significant in women. Conclusions/interpretation: The combination of atrophy with larger WML volume indicates that type 2 diabetes is associated with mixed pathology in the brain. The observed sex differences were unexpected and need to be addressed in further studies. ยฉ 2007 Springer-Verlag
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