The present study aimed to establish the morphometric brain changes during aging in a necropsy series from Brazil and determine whether sexual dimorphisms interfere in these changes. METHODS: A cross-sectional study was conducted at the São Paulo Autopsy Service in Brazil where, after informed consent, data was gathered from next of kin interview with reference to clinical status prior to death. Brain weight, volume and density measurements were taken and then adjusted for head circumference. Descriptive statistics and tests of hypothesis and correlations were applied, considering a p-value of 0.05. RESULTS: 414 subjects, mostly men (60.4%), with a mean age of 67.1 years, were included. The mean brain weight of the sample was 1219.2g±140.9and mean volume was 1217mL±152.3. The mean brain density of the sample was 1.0g/mL±0.09. Values differed between males and females in terms of weight and volume. Brain weight decreased during aging by about 45g per decade (r= -0.300; p<0.01) and volume by about 43mL (r= -0.278; p<0.00). Mean density of the sample was 1.0 g/mL in both genders. CONCLUSIONS: Brain weight and volume (with or without corrections) decreased during aging, and these reductions were more pronounced in women. Density remained unchanged for both genders. Further studies are needed to investigate factors associated to these reductions.
The present study aimed to establish the morphometric brain changes during aging in a necropsy series from Brazil and determine whether sexual dimorphisms interfere in these changes. METHODS: A cross-sectional study was conducted at the São Paulo Autopsy Service in Brazil where, after informed consent, data was gathered from next of kin interview with reference to clinical status prior to death. Brain weight, volume and density measurements were taken and then adjusted for head circumference. Descriptive statistics and tests of hypothesis and correlations were applied, considering a p-value of 0.05. RESULTS: 414 subjects, mostly men (60.4%), with a mean age of 67.1 years, were included. The mean brain weight of the sample was 1219.2g±140.9and mean volume was 1217mL±152.3. The mean brain density of the sample was 1.0g/mL±0.09. Values differed between males and females in terms of weight and volume. Brain weight decreased during aging by about 45g per decade (r= -0.300; p<0.01) and volume by about 43mL (r= -0.278; p<0.00). Mean density of the sample was 1.0 g/mL in both genders. CONCLUSIONS: Brain weight and volume (with or without corrections) decreased during aging, and these reductions were more pronounced in women. Density remained unchanged for both genders. Further studies are needed to investigate factors associated to these reductions.
Aging does not seem to be a uniform process as it is modulated by various intrinsic and
extrinsic factors. It affects the entire human body but the Central Nervous System is
subject to greatest impact due to its difficulty in recovering from injuries.Neurodegenerative diseases are increasingly common during aging with a trend toward
rising incidence and prevalence figures up until 2050 as populations age.[1] These conditions lead to a great impact
on public heath as these diseases cause impairments and poor quality of life. Most
studies are currently aimed at gaining a better understanding of the physiopathology of
aging but there is an evident lack of studies concerning the changes in brain structure
and functioning during aging and related to senescence alone.Some studies have described changes in the human brain. Greater understanding of human
brain senescence would be valuable along with dissociating changes associated to
neuropathological conditions from those decurrent from normal ageing.Investigations have used two different methodological approaches: neuroimaging and
necropsy studies. It has been cited that neuroimage technology currently seems to be the
most common, and often the only, methodological approach available. However, better
visualization of the brain can only be possible through necropsy studies, as these
confer the real state of the structure. Postmortem studies are highly reliable, provided
limitation factors can be controlled, as they allow better structure
identification.[1,2]Independently of method, studies based purely on senescence without disease are
essential, especially in large population-based samples. According to DeCarli et
al.,[3] most studies have been
based on small samples of individuals and have used very rigorous criteria for the
inclusion of individuals, limiting the understanding of aging to its association with
morbidity.[3]It would be of a high interest to study a large population sample of elderly subjects
using direct observation by necropsy methodology. Thus, the aim of the present study was
to investigate the morphometric brain changes during aging through a necropsy study in
Brazil.
Methods
The present cross-sectional study is part of the Aging Brain Project of the Brain
Bank of the Brazilian Aging Brain Study Group (BBBABSG).[4] The study was approved by the Research Ethics
Committee of the University of São Paulo and the National Ethics Committee,
and complies with the Federal requirements for research involving human
subjects.[5-7]Data was collected at the mortuary service called the São Paulo Autopsy
Service (SPAS), a public organ responsible for all necropsies in the metropolitan
area of São Paulo. In Brazil, necropsies are compulsory for all individuals
who die without a defined cause of natural death.This study follows the methodological approaches of the Brazilian Brain Bank and only
related procedures will be described here. The complete BBBABSG procedures have been
described elsewhere.[4,8]
Sample characterization and inclusion procedures
The sample comprised deceased subjects aged 50 years and older at time of death
sourced from the SPAS. Corpses arrive at the SPAS 24 hours a day for autopsy
procedures and a legally authorized subject, most often a relative (so-called
next – of – kin “NOK”), must come to the service for the funeral proceedings and
to authorize release of the body.Upon NOK’s arrival, a team of gerontologists was responsible for receiving the
NOK and collecting Informed Consent Forms. After the initial contact, families
were taken to a private room where a clinical interview was performed. Sometimes
NOK were not available and in these cases an informant, known as Collateral
Source (CS), able to give accurate information about the deceased was involved
instead. Information gathered from CSs has proven reliable (regarding cognitive
status of the subject) whenever informants have had previous close contact with
the subject.[9-15]Cases that fulfilled the inclusion criteria were included in the sample.
Inclusion criteria consisted of:[a] subjects aged 50 years and older who died of
natural causes and were at the SPAS;[b] those who had an NOK or a competent CS to give
reliable information and[c] individuals without cognitive decline. The
remaining inclusion and exclusion criteria of the BBBABSG were also
respected.[4,8]The flowchart of procedures is shown in Figure
1 and allows better understanding of the complete process.
Figure 1
Flowchart of the BBBABSG. São Paulo, 2010.
Flowchart of the BBBABSG. São Paulo, 2010.
Clinical assessment
All the clinical interviews were done while the NOK was waiting for the release
of the body. Clinical interviews consisted of a battery of instruments preceded
by an anamnesis. The aim of the interview was to:[i] investigate and determine the clinical, cognitive,
behavioral and functional status of the subject during their
lifetime;[ii] determine whether there were clinical conditions
associated to exclusion criteria;[iii] have NOK sign the informed consent form.As the sample comprised subjects with no cognitive decline, all cases were CDR
zero, i.e. “without dementia”.Interviews were done by a team of trained nurses supervised by a geriatric nurse/
gerontologist. Clinical Nurse Specialists are able to identify and stage
dementia in a very reliable manner through the use of the CDR.[16]After the interview, the case was discussed in a consensus format, which
encompassed an interdisciplinary full analysis of the case by a neurologist, a
geriatrician and the gerontologists, aiming to reach the Best Estimated
Diagnosis.
Neuropathological procedures
Brains were collected during the autopsy procedure. All the autopsies were
performed by the SPAS pathologist.Before the necropsy began, the head circumference measurement was taken with the
skull still closed. Head circumference is important for brain measurement
adjustments and interpretation, since it is related to a secular effect. This
measurement was obtained by the use of inelastic metric tape that was placed
around the head of the subject, so as to measure the distance between the
cephalic markers “glabela” and “opstocraniun”,
as illustrated in Figure 2.
Figure 2
Head circumference, weight and volume measurements. (Photos from the
BBBABSG’s collection).
Head circumference, weight and volume measurements. (Photos from the
BBBABSG’s collection).During autopsy, before the removal of the brain, the cerebral spinal fluid was
extracted. Secondly, brain weight and volume were measured. Brain weight (g) was
measured by using a precision scale and the volume measurement (mL) was obtained
by the Archimede’s principle. The whole procedure took about thirty minutes.Density value was obtained, dividing the weight measured by the volume
obtained.
Statistical analysis
The sample was stratified into two groups according to gender and then divided
into subgroups according to age. Age groups were split into 10-year class
intervals. All data was adjusted by the variable “head circumference” in order
to avoid secular effect.Central tendency tests were used for descriptive statistics. The hypothesis tests
included the t test (t) and Chi-squared (χ2) test to verify
statistical significance in continuous and nominal data, respectively.
Correlations were done by Pearson’s (r) and Spearman’s (r) correlation tests,
for continuous data and ordinal data, respectively.
Results
All cases which had brain measurements (head circumference, weight and volume) and
clinical interview data available were included in the sample, which spanned the
period of 2005 and 2006. Corpses arrived at the SPAS with a mean Postmortem Interval
(PMI) of 14.8 hours (±4.6h).The sample comprised 414 cases with subjects aged 50 years and older (50 to 98 years)
with a mean age of 67.1 years (±10.9 years), and were mostly males (60.4%).
Mean age was higher among women (68.5±11.9) than among men (66.2±10.2)
with a p-value of 0.001. With regard to literacy, the mean years of education of the
sample was 4.6±3.6 years, with higher schooling among men (5.0±3.6)
than women (3.8±2.2), and a p-value of 0.001. Subjects were mostly Caucasian
(69%) and 70.5% of the cases had low socio-economic level.The majority of the NOK reported that their relative had medical conditions during
life (86.5%), but none of the subjects reported history of cognitive decline, as
this was the main exclusion criteria of the study.The mean brain weight of the sample was 1219.2g± 140.9 and the mean volume was
1217mL±152.3. The mean brain density of the sample was 1.0g/mL±0.09.
Values differed between males and females for weight and volume.Brain weight decreases during aging at approximately 45g per decade (r= –0.300;
p<0.01). Considering mean weight, men showed higher values than did women: 1264.4
±127.2g and 1149.6±135.4g, respectively. After adjusting for head
circumference, it was observed that brain weight decreased during aging in both
genders (r = –0.273; p<0.01). The mean corrected weight was 21.7 g/cm
(±2.3), 20.9 g/cm (±2.4) among women and 22.2 g/cm (±2.1) among
men.Volume also decreased with aging. Brain volume decreased during aging by about 43mL
per decade (r= –0.278; p<0.01). Considering mean volume, men showed higher values
than did women: 1260.0±121.4g and 1145.6 ±128.3mL, respectively. After
adjusting for head circumference, it was observed that brain volume decreased during
aging in both genders (r= –0.264; p< 0.01). The mean corrected volume was 21.6
mL/cm (±2.5), 20.8 mL/cm (±2.3) among women and 22.1 mL/cm
(±2.6) among men.Global brain density value proved stable during aging in both genders. Mean density
of the sample was 1.0 g/mL.Part of the sample was composed of subjects with no medical condition diagnosed
during lifetime, i.e. NOK reported they had no disease. This subgroup contained 65
individuals (15.7%). Comparison of males and females belonging to this group
revealed some differences compared to the whole sample. Men (52 cases) had a mean
age of 63.4 years±10.7(ranging from 50 to 80 years) and showed a mean brain
weight of 1278.6g, a mean brain volume of 1279.7 mL. Women (13 cases) had a mean age
of 65.9 years±13.4(ranging from 50 to 84 years) and showed a mean brain
weight of 1177.3g, and a mean brain volume of 1165.4 mL.
Discussion
Results from the present study are consistent with those reported in the literature
to date, concerning morphometric brain changes during aging. Previous studies have
demonstrated that brain shrinks with age, resulting in visible macroscopic changes
in cephalic tissue,[1-3,17-22] but this only
represents the end stage of a complex phenomenon.[22]Some studies have described that mean brain weight is 9% to 12% higher in men than in
women.[17,21,23] This was
also observed in the present series where the difference was around 11.1%. The
Brazilian mean brain weight was found to be very similar to the values obtained from
a Venezuelan study, but lower than values obtained in North-American and European
samples. Notably however, the Venezuelan sample was not adjusted for head
circumference.[20,21,24]Another well-documented difference between genders is that brain weight and volume
diminish as age increases, and this decrease is higher among man than in
women,[1,21,25] may be
due to sample characteristics. In the present sample, it was observed that the
decrease in weight and volume was more pronounced in women. This could possibly be
explained by increased cognitive decline with aging. Since cognitively-impaired
subjects were excluded from the sample, the prevalence of cognitively normal men was
expected to be higher compared to women who tend to be older and more cognitively
impaired. Furthermore, for decades commonly associated to lower weight and volume
values, the number of women was higher than men because the latter tended to die
earlier.The influence of gender on cerebral changes is well known. The fact that brain weight
and volume values during aging were more pronounced in women can be explained by
hormonal changes inherent to gender. It has been documented that estrogen confers
some protection. However, after menopause a drop in the hormone makes brain weight
and volume reductions even more marked in women, thus making this equal in female
and male genders. Also, there is a greater impact due to sexual dimorphism from the
age of 60 and older.[3]Real time measurements of brain weight and volume can be obtained by direct
observation, which makes necropsy “a gold standard” in brain studies compared to
neuroimaging.[26]
Archimede’s principle for volume measurement is simple and much more precise for
this analysis than that obtained by neuroimaging methods.[21]On the other hand, there are some limitations in postmortem studies in that the
analysis might be influenced by various factors, such as PMI, the timing for
measurements, tissue fixation methods and some medical conditions that could cause
brain edema.[2,17,26,27] In our sample, PMI was lower
compared to PMI of other series.[4,28]Special attention has been dedicated to inclusion criteria. Subjects whose cause of
death could be related to clinical conditions, deemed capable of interfering in the
tissue analysis, were excluded. Moreover, weight and volume measurements were taken
as soon as possible after skull opening and brain removal. This has eliminated
artifacts related to tissue fixation.Brain weight and volume vary according to height, as explained by the secular effect
theory.[29,30] The secular effect holds that the increase in
human height over the last century was accompanied by an increase in brain weight
and volume,[17,25,27] thus
justifying corrections in measurements to head circumference. Also, corrections are
also extremely important in order to avoid variability in height: skull size ratios
among subjects.[31] In this series,
head circumference was used instead of height, for the adjustment procedures. Head
circumference has been considered a very reliable measure in studies that have
carried out correction of brain weight and volume.[31,32] The use
of head circumference eliminates the impact of senility on height reduction, given
some pathological conditions may reduce height besides senescence such as
immobility, contractions etc. that could consequently interfere in the accuracy of
the correction. Brain weight and volume were corrected for head circumference.
Despite correction, both weight and volume (total values and corrected) decreased
with age in both genders.Given global density is the product of a direct relationship between brain weight and
volume and, considering that weight and volume both diminish with age, density
appears to be stable. Previous studies investigating density have used neuroimaging
methods and described regional changes in the density of white and gray matter, but
not global changes.Last but not least, the sample comprised subjects without cognitive decline,
demonstrating that during senescence there are some changes in brain morphometry but
these are not sufficient to determine cognitive impairment per se,
probably due to brain cognitive reserve which is related not only to brain size but
principally to its neuronal activity.[33,34]Concluding, the present study describes morphometric brain changes in a large
necropsy series from Brazil and highlights that brain weight and volume (with or
without corrections) decreased during aging, in contrast to unchanged density, and
these reductions were more pronounced in women. Other studies are needed to
investigate factors associated to these reductions.
Authors: C E Coffey; W E Wilkinson; I A Parashos; S A Soady; R J Sullivan; L J Patterson; G S Figiel; M C Webb; C E Spritzer; W T Djang Journal: Neurology Date: 1992-03 Impact factor: 9.910
Authors: T L Jernigan; S L Archibald; C Fennema-Notestine; A C Gamst; J C Stout; J Bonner; J R Hesselink Journal: Neurobiol Aging Date: 2001 Jul-Aug Impact factor: 4.673
Authors: Charles DeCarli; Joseph Massaro; Danielle Harvey; John Hald; Mats Tullberg; Rhoda Au; Alexa Beiser; Ralph D'Agostino; Philip A Wolf Journal: Neurobiol Aging Date: 2005-04 Impact factor: 4.673
Authors: V Isella; L Villa; A Russo; R Regazzoni; C Ferrarese; I M Appollonio Journal: J Neurol Neurosurg Psychiatry Date: 2006-02 Impact factor: 10.154