(Stroke. 1997;28:1410-1417.)
© 1997 American Heart Association, Inc.
Articles |
From the Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bethesda, Md.
Correspondence to Gene E. Alexander, PhD, Laboratory of Neurosciences, Bldg 10, Rm 6C414, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892. E-mail gene{at}alw.nih.gov
| Abstract |
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Methods Quantitative regions of interest and segmentation analyses were applied to MRI scans of brain to measure volumes of different brain structures and of cerebrospinal fluid (CSF). Severity of white matter hyperintensities (WMHs) was qualitatively rated in the MRI scans. A battery of neuropsychological tests was administered to each subject.
Results The combined hypertensive group (young-old and old-old) had smaller volumes of thalamic nuclei and larger volumes of CSF in the cerebellum and temporal lobes and showed poorer performance in memory and language tests than did the control subjects. Main effects for age were significant in multiple brain regions of interest. The old-old hypertensive patients and age-matched control subjects demonstrated volume reductions in brain structures and increases in ventricular and peripheral CSF volumes compared with the younger subjects. There was a significant groupxage-group interaction in temporal and occipital CSF, not related to WMH, with the old-old hypertensive patients having significantly larger CSF volumes in these regions than the young-old hypertensives and both healthy control groups.
Conclusions Hypertension exacerbates the morphological changes accompanying advanced age. Temporal and occipital regions appear most vulnerable to brain atrophy due to the interactive effects of age and hypertension.
Key Words: aging hypertension magnetic resonance imaging neuropsychology
| Introduction |
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The mechanisms by which hypertension and age are related to structural brain changes and their association with cognitive function have not been fully elucidated. Many studies have focused on WMHs as contributing to the greater atrophy and poorer cognitive performance observed in older hypertensive individuals,12 13 since both age3 14 15 16 and hypertension13 14 15 16 17 have been associated with severity of WMH.
In the present study, volumes of brain structures and of CSF were evaluated using quantitative volumetric MRI in a well-treated sample of 27 hypertensive patients and 20 healthy age-matched control subjects. A battery of neuropsychological tests was used to assess cognitive function in both groups. We sought to further investigate the effects of age and hypertension on structural brain volumes and neuropsychological performance in a group of otherwise healthy patients with essential hypertension and normotensive control subjects. We hypothesized that hypertension-related structural brain changes and cognitive dysfunction would be exacerbated by advanced aging, with older hypertensive patients being more vulnerable to brain atrophy in areas that are susceptible to the combined effects of hypertension and aging. Furthermore, by controlling for severity of WMH, we investigated the relation of age and hypertension to structural brain changes independent of WMH effects.
| Subjects and Methods |
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A 2-week medication washout period was implemented to avoid any
influence of antihypertensive therapy on cognitive
performance.21 Three patients were taking no
medication, 9 were taking a single-drug regimen (1 receiving an
angiotensin-converting enzyme inhibitor, 2
receiving ß-blockers, 2 receiving a calcium channel blocker, and 4
receiving diuretics), 8 were taking two drugs (7 receiving a
diuretic plus a ß-blocker, calcium channel blocker, centrally
acting agent, or
-adrenergic antagonist; 1 receiving a
calcium channel blocker plus an
-adrenergic antagonist),
and 7 were taking three or more medications (a combination of the
above-mentioned drugs). Blood pressure was measured daily for patients
not taking medication. During the washout period, no patient had
sustained blood pressure elevations of more than 180 mm Hg
systolic or 110 mm Hg diastolic.
The control group consisted of 20 age-matched volunteers (11 men and 9
women; mean±SD age, 68.7±6.1 years; range, 56 to 86 years) with no
medical, surgical, or psychiatric problems. Control subjects underwent
the same screening procedures, neuropsychological tests, and MRI scans
as did the hypertensive patients. There was no significant difference
between the hypertensive and control groups in distributions of sex,
education, and handedness (Table 1
). The groups also did
not differ in scores on the Mini-Mental State
Examination22 (mean±SD: controls, 29.5±0.8;
hypertensives, 29.4±0.8). Systolic and diastolic
blood pressures were significantly higher in the hypertensive patients
while off medications (Table 1
).
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To investigate the effects of hypertension on age, the hypertensive and
control groups were divided into young-old (aged 56 to 69 years) and
old-old (aged 70 to 84 years) age groups (Table 1
). There was no
significant difference among the four subgroups with respect to
education, sex, and handedness. The young-old age group did not differ
significantly in systolic and diastolic blood
pressures from the old-old age group, and there was no significant
groupxage-group interaction. The young-old and old-old hypertensive
groups did not differ in duration of hypertension. Six of the 9
patients with left ventricular hypertrophy were
in the young-old age group, and the 2 patients with proteinuria and
left ventricular hypertrophy were in the
old-old age group. The young-old and old-old hypertensive patients did
not differ in the frequency of types of medications or the number of
medications.
Magnetic Resonance Imaging
Brain MRI was performed on a 0.5-T MR scanner (Picker
Instruments). Axial images were obtained from double-echo (TR, 2000 ms;
TE, 20/80 ms) sequences of 18 contiguous 7-mm-thick slices taken from
the foramen magnum to the vertex, parallel to the inferior
orbitomeatal line.4 The proton density portion of the scan
was used for subcortical nuclei measurements, and the T2-weighted
images were used for ratings of WMH. Coronal spin-echo (TR, 2000 ms;
TE, 20 ms) images were obtained from 30 to 34 contiguous 6-mm-thick
slices obtained perpendicular to the inferior orbitomeatal
line for measurement of cranium, cerebral hemispheres, lobes,
cerebellum, and ventricular and peripheral
CSF.23
MRI data were transferred from the Picker system to a Sun Unix-based workstation (Sun Microsystems) for analysis by the Quanta image processing system (C.D., Bethesda, Md). As described previously,2 the intracranial region was traced along the dura of the cranium. After filtering for correction of image artifacts, pixel-intensity histograms were obtained for each slice, and a threshold was determined for segmentation of CSF and brain matter.24 ROIs were then traced, and CSF/brain volume ratios were determined by the segmentation threshold.
Right and left caudate, lenticular, and thalamic nuclei were traced on the axial images by a previously described method.4 The right and left cerebral ventricles and lobar brain regions were traced on the coronal images after they were filtered and segmented.2 The frontal lobe was defined as all supratemporal structures anterior to the sylvian aqueduct. Temporal lobe volume was traced from the anterior pole of the temporal lobe to the sylvian aqueduct. The medial temporal lobe boundary was defined as a straight line from the angle of the medial temporal lobe, where it attaches to the temporal stem, to the midpoint of the operculum; the dura of the middle cranial fossa was then traced around each temporal lobe to complete the region. The parietal lobe was defined as brain matter posterior to the sylvian aqueduct, extending to the medial transverse fissure of striate cortex. Remaining caudal portions of the cerebral hemispheres were defined as occipital lobe.23 A region including cerebellar brain was determined for brain matter and CSF values of the posterior fossa.
The volume of each region in cubic centimeters was calculated by multiplying the summed pixel cross-sectional area in square centimeters by slice thickness in centimeters. Volumes were expressed as percentages of the total traced intracranial volume to control for individual differences in head size. Volume of peripheral CSF was calculated as the total CSF, determined by segmentation, minus the ventricular CSF.4 Volumes of the hemispheres were computed by summation of the lobar volumes on each side. For all brain ROIs traced in this study, very high intrarater and interrater reliabilities have been previously demonstrated.25
WMHs visible on T2-weighted MR images were rated qualitatively. A modification of the three-point rating scale, adopted by Fazekas et al,20 was used to assess the extent of the white matter changes. PVHs were rated as 0, absence; 1, caps or pencil-thin lining; 2, smooth halo around the lateral ventricles; and 3, irregular PVH extending into the deep white matter. DWMH signals were rated as 0, absence; 1, punctate foci; 2, minimal confluence of foci; and 3, large confluent areas. WMH severity judged to be between the above anchor points received a 0.5-point rating, providing a six-point scale. High interrater reliability for this rating scale has been reported.5
Neuropsychological Tests
Each subject was administered a battery of neuropsychological
tests. General intellectual function was assessed with the
WAIS.26 Measures of memory performance included
the Selective Reminding Test (9-item, 8-trial)27 and
immediate and delayed recall for stories (logical memory) and figures
(visual reproduction) from the Wechsler Memory
Scale.28 Visuospatial and visuoperceptual function was
measured using the Extended Range Drawing Test,29 the
Benton Facial Recognition Test,30 and the Block Patterns
Subtest from the Hiskey-Nebraska Tests of Learning
Aptitude.31 Measures of language function included Syntax
Comprehension,29 the Boston Naming Test,32
and the Controlled Word Association (FAS) Test.33
Attention was assessed by the Trail Making Test (Trails A and
B),34 the Stroop Color and Word Test,35 and
the Block Tapping Span Test.36 One hypertensive patient
and one healthy volunteer did not receive the full battery of
neuropsychological tests.
Statistical Analysis
Comparisons of demographic and clinical variables between
hypertensive patients and healthy control subjects were performed using
Student's t tests or
2 tests where
appropriate. Comparisons of demographic and clinical information
between young-old and old-old hypertensives and healthy controls were
performed using two-factor ANOVA or
2 tests.
Groupxage-group comparisons of neuropsychological measures were
performed using two-factor ANOVA. To reduce the number of overall
comparisons in the regional MRI analyses, we performed onmibus
repeated measures ANOVAs with group and age group as between-group
factors and hemisphere as a repeated measure factor for homologous
ROIs. Analysis of individual regions was performed with a
two-factor ANOVA (groupxage group). The pairwise simple effects of
significant interactions were tested using Student's t
tests. To statistically remove the effect of WMH from significant
group, age group, and interaction effects, ANCOVA was subsequently
performed after controlling for PVH and DWMH. Multiple regression
analysis was performed to correlate clinical information with
significant ROIs, after controlling for age, sex, and education.
Comparisons of WMH between hypertensive patients and healthy control
subjects were performed using the Mann-Whitney U test.
Statistical significance is taken as P
.05.
| Results |
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There were significant groupxage-groupxhemisphere interactions in hemisphere, parietal, occipital, and peripheral CSF spaces (P<.04). Pairwise simple effects analyses revealed that the young-old hypertensive patients showed asymmetry in hemisphere CSF and occipital CSF (P<.02), with the left hemisphere having more CSF than the right. The old-old hypertensives, however, did not show an asymmetry in hemisphere CSF and occipital CSF or in parietal or peripheral CSF. The young-old healthy control subjects did not show asymmetry in any of the four CSF spaces, whereas the old-old healthy controls showed asymmetry in all four spaces (P<.01), with the left hemisphere showing more CSF than the right.
To ensure that our MRI findings were not due to normalization with total intracranial volume, we repeated the analyses using absolute MRI values. All group effects remained significant (P<.01), and all main effects for age remained significant (P<.05) except total cerebral brain, hemisphere brain, and temporal brain. All groupxage-group interactions remained significant except frontal brain, and all groupxage-groupxhemisphere interactions remained significant (P<.03).
The hypertensive group had significantly more severe DWMH ratings than
the control group (1.28±0.82 compared with 0.63±0.58, mean±SD;
z=-2.81, P<.005), but the groups did not differ
significantly in PVH ratings (hypertensives, 1.41±0.90; controls,
1.00±0.87; z=-1.47, NS). To control for the influence of
WMH on volume differences, we repeated the significant
groupxage-groupxhemisphere analysis using ANCOVA with PVH
and DWMH as covariates (Table 2
). The group effects remained
significant in the thalamic nuclei. The main effects for age remained
significant in all regions. The groupxage-group interactions remained
significant in frontal brain, temporal CSF, and occipital CSF. The
groupxage-groupxhemisphere interactions remained significant in
hemisphere, parietal, occipital, and peripheral CSF
spaces.
Neuropsychological data are presented in Table 3
. Hypertensive patients showed significantly poorer
performance than control subjects in the WAIS Verbal IQ, WAIS
Verbal Deviation Quotient (VDQ), WAIS Memory and Distractibility
Quotient (MDQ), Wechsler Memory Scale immediate and delayed story
recall, Selective Reminding Test, and Syntax Comprehension. A
significant main effect for age was shown in the WAIS Perceptual
Deviation Quotient (PDQ), Trails A, Extended Range Drawing Test,
Hiskey-Nebraska Block Patterns, and Benton Facial Recognition Test,
with the old-old subjects from both groups showing poorer
performance than the young-old subjects. The old-old group
showed better performance than the young-old group in the WAIS
VDQ. A significant groupxage-group interaction was observed in
Selective Reminding Testlong-term memory (SRT-LTM) failures. Simple
effects revealed that the old-old hypertensives had significantly more
long-term memory failures than young-old hypertensives and old-old
healthy controls (P<.03). After the analysis using
ANCOVA with PVH and DWMH as covariates was repeated (see Table 3
), the
group effects remained significant in the WAIS VDQ; the main effects
for age remained significant in the WAIS VDQ, Trails A, Hiskey-Nebraska
Block Patterns, and Benton Facial Recognition Test; and the
groupxage-group interaction for SRT-LTM failures remained
significant.
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There was no significant correlation between duration of hypertension, systolic and diastolic blood pressure, or neuropsychological measures and MRI regions that showed significant group effects or groupxage-group interactions in the hypertensives.
| Discussion |
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To our knowledge, only one study has investigated the regional effects of hypertension on MRI brain volumes.5 This study from our laboratory demonstrated greater lateral ventricular volume and smaller left hemisphere brain volume in patients with well-treated hypertension of 10 years' duration without end-organ damage compared with healthy control subjects. Functional neuroimaging studies have shown reductions in regional cerebral metabolic rates for glucose and cerebral blood flow in subcortical nuclei, arterial border zones, and temporal and occipital cortices in hypertensive patients compared with healthy controls,39 40 more severe in untreated patients.41 42 43 Autopsy studies have demonstrated that the vascular hypertrophy seen in hypertension is especially prominent in medium- and small-sized vessels44 and in the middle cerebral and basilar arteries.45 46
Our study is consistent with previous functional neuroimaging studies showing hypertension effects in regions of the temporal cortex and subcortical nuclei. The reduction in thalamic nuclei volumes in our sample may represent an expression of the vascular changes, ischemia, or lacunar infarcts that commonly occur in the thalamus in hypertensive patients.47 48 Previous MRI studies have not routinely evaluated cerebellar volume. In our study, hypertensive patients showed greater CSF values for a region containing cerebellar brain. Our present findings differed from those reported by Salerno et al5 in patients with well-treated hypertension of 10 years' duration without end-organ damage, where only lateral ventricle enlargement and left hemisphere reduction in the hypertensive patients was observed. However, unlike the Salerno study,5 our sample included both men and women, did not exclude patients with evidence of end-organ damage, and was evaluated with measures of regional lobar volumes.
Structural MRI studies have revealed age-related reductions in volumes of the cerebral hemispheres2 4 and subcortical nuclei,4 as well as ventricular enlargement.1 3 4 The volume reductions are especially prominent in the frontal lobes.38 Age-related reductions in brain volumes of the temporal lobes38 49 50 have also been observed, albeit not consistently.51 Our study combining hypertensives and controls showed age-related reductions in temporal lobe and subcortical nuclei volumes, as well as increases in frontal, temporal, parietal, and peripheral CSF spaces.
The strongest interaction of age and hypertension was in temporal and occipital regions, suggesting that these regions are especially vulnerable to the combined effects of age and hypertension. The interaction for frontal lobe volume may have reflected brain volume variability in our hypertensive sample, since the young-old hypertensives had larger frontal brain volumes than the young-old controls. It is possible that hypertension-related cerebrovascular hypertrophy45 renders the brain susceptible to decreased CBF,42 43 abnormal CBF autoregulation,52 53 or abnormal blood pressure diurnal variation,54 which preferentially affect regions also susceptible to the effects of aging through neuronal degeneration.55 Our results suggest that regions supplied by arterial border zones of the middle and posterior cerebral arteries or the posterior circulation56 are specifically vulnerable to age plus hypertension.46 57
That left hemisphere atrophy was greater in several regions is consistent with previous reports of hemisphere asymmetry in aging.38 58 Our older healthy control subjects consistently showed asymmetry in hemisphere, parietal, occipital, and peripheral CSF volumes. The older hypertensive patients, however, demonstrated a lack of asymmetry in these regions. Thus, differences in hemisphere asymmetries may help to distinguish effects of hypertension from healthy aging. Further investigation is needed to determine whether the asymmetry difference is a consequence of hypertension or is related to other factors such as sex58 or different medications.
Although WMHs appear to be in part a consequence of chronic cerebrovascular disease,59 the significant interactions we observed were statistically independent of WMH. The significant group effects were influenced by WMHs, since only the thalamic nuclei remained significant after we controlled for WMH. However, the thalamic nuclei finding, as well as the significant groupxage-group interactions after we controlled for WMH, suggests that the presence of WMH or frank infarction does not account for all the structural brain changes observed with hypertension.
One third of our hypertensive young-old and old-old patients evidenced end-organ damage. End-organ damage, particularly in the two older patients who had both heart and kidney dysfunction, could have influenced the greater atrophy seen in the old-old group. When we repeated the analysis excluding these two subjects, the groupxage-group interactions remained significant even after controlling for WMH in temporal and occipital CSF volumes (P<.05) but was only a trend in frontal brain. Thus, the greater brain atrophy seen in the posterior brain regions in older hypertensive patients was not due to greater severity of end-organ damage. In addition, the frontal brain and occipital and temporal CSF effects remained significant after controlling for patient differences in the number of medications, using ANCOVA for comparisons between the young-old and old-old hypertensives.
Our hypertensive patients demonstrated significantly poorer performance in neuropsychological measures of verbal memory, verbal intellectual skills, and language comprehension compared with control subjects. The magnitudes of these group differences were relatively small. Other studies have demonstrated that hypertensive patients, whether taking antihypertensive medication or not, show poorer performance than normotensives in learning and memory tasks.8 9 12 Results have been mixed, however, concerning general intellectual function8 10 and language abilities.5 60 Consistent with previous studies, we found age-group differences in measures of visuospatial abilities, attention, and verbal comprehension.61 62 Finally, our older hypertensive patients showed significantly poorer performance in one measure of memory function (ie, SRT-LTM failures) compared with younger hypertensives and both healthy control groups. Furthermore, the group difference between the young and older hypertensive patients remained significant after controlling for number of hypertension medications. Although this supports the agexblood-pressure interaction model,10 11 other measures of memory function did not show this effect. Although memory performance was not correlated with any MRI volume, the poorer memory scores of hypertensive patients in our sample are consistent with temporal lobe MRI volume changes.
Our findings suggest that effective treatment of hypertension may be particularly important in the elderly, in whom a combination of advanced age and hypertension leads to greater brain atrophy. Our sample of hypertensive patients was well controlled, suggesting that more effective treatment is required in elderly hypertensives. Further research is needed to identify the underlying mechanisms involved in hypertension-related brain changes. With understanding of the factors that contribute to the morphological and functional abnormalities observed with hypertension, new treatments can be developed to specifically address the neurophysiological and cognitive changes associated with hypertension in the elderly.
| Selected Abbreviations and Acronyms |
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| Acknowledgments |
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Received February 7, 1997; revision received April 18, 1997; accepted April 18, 1997.
| References |
|---|
|
|
|---|
2. DeCarli C, Maisog J, Murphy DGM, Teichberg D, Rapoport SI, Horwitz B. Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images. J Comput Assist Tomogr. 1992;16:274-284.[Medline] [Order article via Infotrieve]
3. DeCarli C, Murphy DGM, Tranh M, Grady CL, Haxby JV, Gillette JA, Salerno JA, Gonzales-Aviles A, Horwitz B, Rapoport SI, Schapiro MB. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology. 1995;45:2077-2084.[Abstract]
4.
Murphy DGM, DeCarli C, Schapiro MB, Rapoport SI,
Horwitz B. Age-related differences in volumes of subcortical
nuclei, brain matter, and cerebrospinal fluid in healthy men as
measured with magnetic resonance imaging. Arch
Neurol. 1992;49:839-845.
5.
Salerno JA, Murphy DGM, Horwitz B, DeCarli C, Haxby
JV, Rapoport SI, Schapiro MB. Brain atrophy in hypertension: a
volumetric magnetic resonance imaging study.
Hypertension. 1992;20:340-348.
6.
Schmidt R, Fazekas F, Koch M, Kapeller P, Augustin M,
Offenbacher H, Fazekas G, Lechner H. Magnetic resonance
imaging cerebral abnormalities and neuropsychologic test
performance in elderly hypertensive subjects: a case controlled
study. Arch Neurol. 1995;52:905-910.
7.
Elias MF, Robbins MA, Schultz JNR, Streeten DHP, Elias
PK. Clinical significance of cognitive performance by
hypertensive patients. Hypertension. 1987;9:192-197.
8. Mazzucchi A, Mutti A, Poletti A, Ravanetti C, Novarini A, Parma M. Neuropsychological deficits in arterial hypertension. Acta Neurol Scand. 1986;73:619-627.[Medline] [Order article via Infotrieve]
9. Waldstein SR, Manuck SB, Ryan CM, Parkinson DK. Learning and memory function in men with untreated blood pressure elevation. J Consult Clin Psychol. 1991;59:513-517.[Medline] [Order article via Infotrieve]
10.
Wilkie F, Eisdorfer C. Intelligence and blood
pressure in the aged. Science. 1971;172:959-962.
11. Elias MF, D'Agostino RB, Elias PK, Wolf PA. Neuropsychological test performance, cognitive functioning, blood pressure, and age: the Framingham Heart Study. Exp Aging Res. 1995;21:369-391.[Medline] [Order article via Infotrieve]
12.
Schmidt R, Fazekas F, Offenbacher H, Lytwyn H, Blematl
B, Niederkorn K, Horner S, Payer F, Freidl W. Magnetic resonance
imaging white matter lesions and cognitive impairment in hypertensive
individuals. Arch Neurol. 1991;48:417-420.
13. van Swieten JC, Geyskes GG, Derix MMA, Peeck BM, Ramos LMP, van Latum JC, van Gijn J. Hypertension in the elderly is associated with white matter lesions and cognitive decline. Ann Neurol. 1991;30:825-830.[Medline] [Order article via Infotrieve]
14.
Awad IA, Spetzler RF, Hodak JA, Awad CA, Carey
R. Incidental subcortical lesions identified on magnetic
resonance imaging in the elderly, I: correlation with age and
cerebrovascular risk factors. Stroke. 1986;17:1084-1089.
15. Lindgren A, Roijer A, Rudling O, Norrving B, Larsson E, Eskilsson J, Wallin L, Olsson B, Johansson BB. Cerebral lesions on magnetic resonance imaging, heart disease, and vascular risk factors in subjects without stroke: a population-based study. Stroke. 1994;25:929-934.[Abstract]
16. Oyama H, Kida Y, Tanaka T, Iwakoshi T, Niwa M, Kobayashi T. Incidental white matter lesions identified on magnetic resonance images of normal Japanese individuals: correlation with age and hypertension. Neurol Med Chir (Tokyo). 1994;34:286-290.[Medline] [Order article via Infotrieve]
17.
Fukuda H, Kitani M. Differences between treated
and untreated hypertensive subjects in the extent of
periventricular hyperintensities observed on brain
MRI. Stroke. 1995;26:1593-1597.
18. Kannel WB, Gordon T, Offutt D. Left ventricular hypertrophy by electrocardiogram: prevalence, incidence and mortality in the Framingham Study. Ann Intern Med. 1969;71:89-101.
19. Romhilt DW, Estes EHJ. A point-score system for the ECG diagnosis of left ventricular hypertrophy. Am Heart J. 1968;75:752-758.[Medline] [Order article via Infotrieve]
20. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJNR Am J Neuroradiol. 1987;8:421-426.
21. Waldstein SR, Manuck SB, Ryan CM, Muldoon MF. Neuropsychological correlates of hypertension: review and methodologic considerations. Psychol Bull. 1991;110:451-468.[Medline] [Order article via Infotrieve]
22. Folstein MF, Folstein SE, McHugh PR. `Mini mental state': a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189-198.[Medline] [Order article via Infotrieve]
23. Murphy DGM, DeCarli C, Daly E, Haxby JV, Allen G, White BJ, McIntosh AR, Powell CM, Horwitz B, Rapoport SI, Schapiro MB. X-chromosome effects on female brain: a magnetic resonance imaging study in Turner's syndrome. Lancet. 1993;342:1197-1200.[Medline] [Order article via Infotrieve]
24. DeCarli C, Murphy DGM, Teichberg D, Campbell G, Sobering GS. Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity. J Magn Reson Imaging. 1996;6:519-528.[Medline] [Order article via Infotrieve]
25. Bartko JJ, Carpenter WTJ. On the methods and theory of reliability. J Nerv Ment Dis. 1976;163:307-317.[Medline] [Order article via Infotrieve]
26. Wechsler DA. Wechsler Adult Intelligence Scale. New York, NY: Psychological Corporation; 1955.
27. Buschke H. Selective reminding for analysis of memory and learning. J Verb Learn Verb Behav. 1973;12:543-550.
28. Wechsler DA. A standardized memory scale for clinical use. J Psychol. 1945;19:87-95.
29. Haxby JV, Duara R, Grady CL, Cutler NR, Rapoport SI. Relations between neuropsychological and cerebral metabolic asymmetries in early Alzheimer's disease. J Cereb Blood Flow Metab. 1985;5:193-200.[Medline] [Order article via Infotrieve]
30. Benton AL, Allen MWV. Impairment in facial recognition in patients with cerebral disease. Cortex. 1968;4:344-358.
31. Hiskey MS. Manual: Hiskey-Nebraska Test of Learning Aptitude. Lincoln, Neb: College View Printers; 1965.
32. Kaplan E, Goodglass H, Weintraub S. Boston Naming Test (Experimental Version). Boston, Mass: Boston Veterans Administration Medical Center; 1976.
33. Benton AL, Hamsher KS. Multilingual Aphasia Examination: Manual of Instruction. Iowa City, Iowa: The University of Iowa; 1978.
34. Reitan RM. Validity of the trail making test as an indicator of organic brain damage. Percept Motor Skills. 1958;8:271-276.
35. Golden CJ. The Stroop Color and Word Test: A Manual for Clinical and Experimental Uses. Chicago, Ill: Stoelting; 1978.
36.
Milner B. Interhemispheric differences in the
localization of psychological processes in man. Br Med
Bull. 1971;27:272-277.
37. Hatazawa J, Yamaguchi T, Ito M, Yamaura H, Matsuzawa T. Association of hypertension with increased atrophy of brain matter in the elderly. J Am Geriatr Soc. 1984;32:370-374.[Medline] [Order article via Infotrieve]
38.
Coffey CE, Wilkinson WE, Parashos IA, Soady SAR,
Sullivan RJ, Patterson LJ, Figiel GS, Webb MC, Spritzer CE, Djang
WT. Quantitative cerebral anatomy of the aging human
brain: a cross-sectional study using magnetic resonance image.
Neurology. 1992;42:527-536.
39. Mentis MJ, Salerno J, Horwitz B, Grady C, Schapiro MB, Murphy DGM, Rapoport SI. Reduction of functional neuronal connectivity in long-term treated hypertension. Stroke. 1994;25:601-607.[Abstract]
40. Salerno JA, Grady C, Mentis M, Gonzalez-Aviles A, Wagner E, Schapiro MB, Rapoport SI. Brain metabolic function in older men with chronic essential hypertension. J Gerontol A Biol Sci Med Sci. 1995;50:M147-M154.
41.
Meyer JS, Rogers RL, Mortel KF. Prospective
analysis of long-term control of mild hypertension on cerebral
blood flow. Stroke. 1985;16:985-990.
42.
Nobili F, Rodriguez G, Marenco S, DeCarli F, Gambaro M,
Castello C, Pontremoli R, Rosadini G. Regional cerebral blood
flow in chronic hypertension. Stroke. 1993;24:1148-1153.
43.
Rodriguez G, Arvigo F, Marenco S, Nobili F, Romano P,
Sandini G, Rosadini G. Regional cerebral blood flow in essential
hypertension: data evaluation by a mapping system.
Stroke. 1987;18:13-20.
44.
Cole FM, Yates PO. Comparative incidence of
cerebrovascular lesions in normotensive and hypertensive
patients. Neurology. 1968;18:255-259.
45. Blumenthal HT, Handler FP, Blache JO. The histogenesis of arteriosclerosis of the larger cerebral arteries, with an analysis of the importance of mechanical factors. Am J Med. 1954;17:337-347.[Medline] [Order article via Infotrieve]
46.
Wilkins RH, Roberts JC, Moses C. Autopsy studies
in atherosclerosis, III: distribution and severity of
atherosclerosis in the presence of obesity,
hypertension, nephrosclerosis, and rheumatic heart
disease. Circulation. 1959;20:527-536.
47.
Fisher CM. Lacunar strokes and infarcts: a
review. Neurology. 1982;32:871-876.
48.
Steinke W, Sacco RL, Mohr JP, Foulkes MA, Tatemichi TK,
Wolf PA, Price TR, Hier DB. Thalamic stroke:
presentation and prognosis of infarcts and
hemorrhages. Arch Neurol. 1992;49:703-710.
49.
Golomb J, de Leon MJ, Kluger A, George AE, Tarshish C,
Ferris SH. Hippocampal atrophy in normal aging: an association
with recent memory impairment. Arch Neurol. 1993;50:967-973.
50.
Jack CR, Petersen RC, O'Brien PC, Tangalos EG.
MR-based hippocampal volumetry in the diagnosis of Alzheimer's
disease. Neurology. 1992;42:183-188.
51. DeCarli C, Murphy DGM, Gillette JA, Haxby JV, Teichberg D, Schapiro MB, Horwitz B. Lack of age-related differences in temporal lobe volume of very healthy adults. AJNR Am J Neuroradiol. 1994;15:686-696.
52.
Matsushita K, Kuriyama Y, Nagatsuka K, Nakamura M,
Sawada T, Omae T. Periventricular white matter
lucency and cerebral blood flow autoregulation in hypertensive
patients. Hypertension. 1994;23:565-568.
53.
Strandgaard S. Autoregulation of cerebral blood
flow in hypertensive patients. Circulation. 1976;53:720-727.
54.
Kario K, Matsuo T, Kobayashi H, Imiya M, Matsuo M,
Shimada K. Nocturnal fall of blood pressure and silent
cerebrovascular damage in elderly hypertensive patients: advanced
silent cerebrovascular damage in extreme dippers.
Hypertension. 1996;27:130-135.
55. Ball MJ. Neuronal loss, neurofibrillary tangles and granulovacuolar degeneration in the hippocampus with ageing and dementia: a quantitative study. Acta Neuropathol (Berl). 1977;37:111-118.[Medline] [Order article via Infotrieve]
56. Carpenter MB, Sutin J. Human Neuroanatomy. Baltimore, Md: Williams & Wilkins; 1983.
57.
Roberts JC, Moses C, Wilkins R. Autopsy studies
in atherosclerosis, I: distribution and severity of
atherosclerosis in patients dying without morphologic
evidence of atherosclerotic catastrophe.
Circulation. 1959;20:511-519.
58.
Gur RC, Mozley PD, Resnick SM, Gottlieb GL, Kohn M,
Zimmerman R, Herman G, Atlas S, Grossman R, Berretta D, Erwin R,
Gur RE. Gender differences in age effect on brain atrophy
measured by magnetic resonance imaging. Proc Natl Acad
Sci U S A. 1991;88:2845-2849.
59.
Awad IA, Johnson PC, Spetzler RF, Hodak JA.
Incidental subcortical lesions identified on magnetic resonance imaging
in the elderly, II: postmortem pathological correlations.
Stroke. 1986;17:1090-1097.
60.
Kuusisto J, Koivisto K, Mykkanen L, Helkala EL,
Vanhanen M, Hanninen T, Pyorala K, Riekkinen P, Laakso M.
Essential hypertension and cognitive function: the role of
hyperinsulinemia. Hypertension. 1993;22:771-779.
61. La Rue A. Aging and Neuropsychological Assessment. New York, NY: Plenum Press; 1992.
62. Lezak MD. Neuropsychological Assessment. 3rd ed. New York, NY: Oxford University Press Inc; 1995.
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