Cartoon representation of volumetric method used to calculate prefrontal region of interest (ROI) volumes. The images are the same as those used in data collection, but regional demarcations have been smoothed for publication purposes. Total prefrontal cortex (PFC) volume, PFC white matter volume, and PFC region volumes for all subjects were determined by edge tracing the cortical ribbon and gray-white matter boundary with a cursor directly on a computer display. A, The most posterior slice of the prefrontal ROI is shown. Total PFC volume was defined by tracing all gyri and sulci around the cortical ribbon of each hemisphere in the T2-weighted image. Pixel areas were transformed to volumes as described in the "Region of Interest Analysis" subsection of the "Materials and Methods" section. B, The PFC white matter volume was traced in the proton density–weighted image of the same slice depicted in A. The PFC gray matter volume was calculated by subtracting PFC white matter volume from total PFC volume. C to F, Regional delineation of 4 posterior coronal PFC slices (C-F represent the most anterior to most posterior) for superior (yellow), middle (pink), inferior (orange), orbital (green), and anterior cingulate (blue) regions. Regions were defined as described in the "Region of Interest Analysis" subsection of the "Materials and Methods" section.
Comparison of younger healthy elderly (YHE) and older healthy elderly (OHE) groups. Regions are described in the "Regions of Interest Analysis [ROI]" subsection of the "Materials and Methods" section. A, Comparison of volumetric measures between YHE and OHE subjects. Volumes are presented as percentage of total intracranial volume (ICV) to correct for head size. The OHE group had less total prefrontal cortex (PFC) and white matter PFC volume than did the YHE group. Data are presented as mean ± SEM. Mean absolute regional volumes are presented in cubic centimeters above each bar. Asterisk indicates P<.01. B, Comparison of regional volumes between YHE and OHE groups. Regional volumes did not differ between YHE and OHE groups when corrected for ICV. Data are presented as mean ± SEM. Mean absolute regional volumes are presented in cubic centimeters above each bar. C, Ratio of orbital to all other regions was significantly smaller for the YHE than for the OHE group. Asterisk indicates P<.05. Data are presented as mean ± SEM. D, Scattergram of the ratio of orbital to all other regions. The YHE group had a significantly smaller ratio compared with the OHE group. Circles represent individual subjects. Bars represent group means. Asterisk indicates P<.05.
Comparison of volumetric measures between younger healthy elderly (YHE) subjects and subjects with Alzheimer disease (AD). Volumes are presented as percentage of total intracranial volume (ICV) to correct for head size. Regions are described in the "Regions of Interest Analysis" subsection of the "Materials and Methods" section. A, The AD group had less total prefrontal cortex (PFC) and gray matter PFC volume than did the YHE group. Data are presented as mean ± SEM. Mean absolute regional volumes are presented in cubic centimeters above each bar. Asterisk indicates P<.05. B, Comparison of regional volumes. Subjects with AD had significantly less volume in the inferior PFC region, but in no other region, compared with YHE subjects. Data are presented as mean ± SEM. Mean absolute regional volumes are presented in cubic centimeters above each bar. Asterisk indicates P<.05. C, Scattergram of inferior PFC region corrected for ICV. The AD subjects had significantly less inferior PFC volume than did YHE subjects. Circles represent individual subjects. Bars represent group means. Asterisk indicates P<.05. D, Regional volumes did not differ significantly between YHE and AD subjects when examined as a ratio to all other regions combined. Regions are described in the "Regions of Interest Analysis" subsection of the "Materials and Methods" section. Data are presented as mean ± SEM.
Salat DH, Kaye JA, Janowsky JS. Selective Preservation and Degeneration Within the Prefrontal Cortex in Aging and Alzheimer Disease. Arch Neurol. 2001;58(9):1403-1408. doi:10.1001/archneur.58.9.1403
The prefrontal cortex (PFC) is a heterogeneous cortical structure that supports higher cognitive functions, including working memory and verbal abilities. The PFC is vulnerable to neurodegeneration with healthy aging and Alzheimer disease (AD).
We used volumetric magnetic resonance imaging to determine whether any region within the PFC is more vulnerable to deterioration with late aging or AD.
Volumetric analysis of PFC regions was performed on younger healthy elderly subjects (n = 26; 14 men and 12 women [mean age, 71.7 years] for aging analysis; 12 men and 14 women [mean age, 71.4 years] for AD analysis), oldest healthy elderly (OHE) subjects (n = 22 [11 men and 11 women]; mean age, 88.9 years), and patients with AD (n = 22 [12 men and 10 women]; mean age, 69.8 years).
The OHE subjects had less PFC white matter than did young healthy elderly subjects. The orbital region was selectively preserved relative to other PFC regions in the OHE subjects. Subjects with AD had less total PFC gray matter than did age-matched healthy subjects and significantly less volume in the inferior PFC region only.
Orbital PFC is selectively preserved in OHE subjects. In contrast, degeneration within the PFC with AD is most prominent in the inferior PFC region. Thus, degeneration within the PFC has a regionally distinct pattern in healthy aging and AD.
AGE-RELATED degeneration of the prefrontal cortex (PFC; herein used to refer to both prefrontal cortical regions and the white matter within the prefrontal region) is greater than degeneration of other areas of the brain.1,2 This is true for diverse measures, including volumetric loss on magnetic resonance (MR) images,2 cerebral metabolism,3 and muscarinic receptor binding.4 The selectivity of the degeneration within the PFC is unknown.
First, there is conflicting evidence as to whether loss of gray2 or white5 matter is more prominent in the PFC. Human imaging studies and studies of aged monkeys suggest that degeneration of the brain is due to deterioration of white matter but not significant gray matter loss or neuronal death.5,6 Still, other MR studies find an age-related decline in PFC gray matter2 across a broad age span (18-77 years).2
It is also unknown whether specific regions within the PFC are more vulnerable to degeneration with aging than others. Degeneration could be a selective (degeneration of a single region), preferential (greater degeneration in one region than in another), or general process affecting all regions of the PFC. Previous studies have described degeneration of the frontal lobes with aging,1,2,5 but no studies have examined volumetric degeneration of specific regions within the PFC. Similarly, no studies have examined how regional degeneration of the PFC differs with healthy aging compared with the neurodegeneration of Alzheimer disease (AD).
Selective degeneration with AD might be expected in the PFC because of the cytoarchitectonic features and the connective and functional architecture of this lobe.7 The PFC regions with strong connectivity to posterior structures that degenerate in the early stages of AD could be more vulnerable to degeneration than other PFC regions because of anterograde or retrograde degeneration.8 Many regions of the PFC are connected to temporal lobe and limbic regions9,10 that degenerate in the early11- 13 and preclinical14 stages of AD. In general, projections from the PFC to medial temporal lobe structures tend to originate in basal regions of the PFC, including the medial, orbital, and ventrolateral PFC.15,16 Reciprocal connections between more dorsolateral PFC regions and hippocampal and entorhinal regions exist17 but are sparse compared with the orbital and medial PFC connections.18 Thus, orbital, medial, and inferior lateral PFC regions could be more susceptible to degeneration than other PFC regions because of anterograde or retrograde degenerative processes in AD.
The present study used volumetric MR imaging to determine whether specific regions within the PFC degenerate preferentially in late aging or AD. The subjects examined for this study underwent screening using a variety of physiological and psychological health criteria so that the volumetric differences found were not likely to be due to other common known medical comorbidities in these populations. It was expected that healthy older subjects would show greater degeneration in dorsolateral compared with other PFC regions.2 In contrast, it was expected that regions of the PFC with greater anatomical connectivity to temporal lobe and limbic structures, such as orbital, medial, and ventrolateral PFC regions, would show greater degeneration with AD.
Magnetic resonance imaging scans of older healthy elderly (OHE) subjects (n = 22 [11 men and 11 women]; mean age, 88.9 years), subjects with AD (n = 22 [12 men and 10 women]; mean age, 69.8 years), and younger healthy elderly (YHE) subjects were examined. The YHE subjects were examined as 2 subgroups for comparisons with the OHE (n = 26 [14 men and 12 women]; mean age, 71.7 years) and AD groups (n = 26 [12 men and 14 women]; mean age, 71.4 years). These subgroups overlapped by 92% but maximized the number of subjects while keeping YHE and AD subjects matched for age (P = .13). Similar results are found in this study when we analyze the data by matching the YHE and AD groups for age or when we analyze the data using all subjects available for analysis (when the YHE and AD groups are not matched for age).
Scans for YHE and OHE groups were collected as part of the Oregon Brain Aging Study at Oregon Health Sciences University and the Veterans Affairs Medical Center, Portland. Scans for the AD group were collected as part of the clinical protocol of the Oregon Alzheimer's Disease Center, Portland. All groups were matched for years of education and socioeconomic status.19 The YHE and OHE groups were matched for Mini-Mental State Examination20 (MMSE) score (YHE mean score, 28.7; OHE mean score, 28.2) and general knowledge (Wechsler Adult Intelligence Scale–Revised vocabulary21). The AD patients met criteria of the National Institute of Neurological and Communicative Disorders and Stroke–Alzheimer's Disease and Related Disorders Association22 for probable or possible AD (mean MMSE score, 17.0). All subjects or their responsible caregiver signed informed consent according to the Declaration of Helsinki and the Oregon Health Sciences University Institutional Review Board for Oregon Brain Aging and Oregon Alzheimer's Disease Center studies.
Recruitment procedures and criteria as well as medical and cognitive data on these subjects have been published.23 Healthy subjects were free from significant medical disorders, eg, diabetes mellitus, hypertension, ischemic heart disease, cardiac arrhythmia, stroke, active cancer, psychiatric disorders, and neurologic disorder; had visual acuity correctable to 20/70 OU or better and hearing that did not interfere with speech perception; and did not take any medications known to affect cognitive function. Healthy subjects performed within age-group norms on a battery of measures of cognitive function and behavior and did not have signs of early dementia.23 Thus, we would not expect the volumetric differences obtained between groups to be due to medical comorbidities.
Imaging was performed using a 1.5-T scanner (General Electric Company, Milwaukee, Wis). The brain was visualized using a multiecho coronal sequence (repetition time, 3000 milliseconds; echo time, 30 or 80 milliseconds; 4-mm slices with no skip). The T1-weighted images in the midsagittal plane were used to orient the coronal plane as that perpendicular to a line drawn from the lowest point of the genu to the lowest point of the splenium corpus callosum on the midsagittal image.
Tissue analysis of PFC MR images was assisted using a computer program called REGION as previously described.5,24 Data were first collected from the following 3 tissue regions of interest (ROIs): total prefrontal volume, prefrontal white matter volume, and prefrontal gray matter volume. Structures were outlined using a cursor directly on a computer display. The PFC was defined in the coronal plane beginning with the first slice in which the superior frontal gyrus could be visualized (the tip of the frontal pole), and continued posteriorly until, but not including, the first slice in which the anterior tip of the corpus callosum was visualized. Very posterior PFC areas such as posterior medial and orbital regions were lost because of the use of the genu of the corpus callosum as an absolute posterior boundary. Total prefrontal volume was defined by tracing all gyri and sulci around the cortical ribbon of each hemisphere in the T2-weighted image (Figure 1A). Prefrontal white matter volume was traced in the proton density–weighted image of the same slice after standardized image adjustment to maximize gray to white matter contrast (Figure 1B). Prefrontal gray matter volume was calculated by subtracting prefrontal white matter volume from total prefrontal volume.
The PFC was further subdivided into the following 5 ROIs within each hemisphere: superior, middle, inferior, orbital, and anterior cingulate. Each area was hand traced with the cursor using an atlas-defined protocol and visual inspection of the image (Figure 1C-F, posterior to anterior slices). The regions were defined using a method modified from Damasio25 in which the gyral and sulcal patterns are used as regional landmarks in the T2-weighted image. The superior region encompassed superior medial and superior lateral portions of the PFC and was traced beginning at the ventral portion of the superior frontal sulcus, then dorsomedial to the dorsal extent of the cortex and ventral down the interhemispheric fissure to the lateral portion of the anterior cingulate sulcus. The middle region (or middorsolateral PFC) began at the ventral portion of the superior frontal sulcus, was traced lateral and ventral down the middle frontal gyrus and continued past the middle frontal sulcus to the medial portion of the inferior frontal sulcus. The inferior region (or ventrolateral PFC) began at the most medial portion of the inferior frontal sulcus and continued lateral and then ventromedial to the dorsal portion of the orbital sulcus. The orbital region began at the dorsal portion of the orbital sulcus and continued ventromedial and up the interhemispheric fissure until the dorsal portion of the gyrus (within the interhemispheric fissure) was reached. The anterior cingulate region was defined as the cortical gray matter between the ventromedial aspect of the superior prefrontal region and the dorsomedial aspect of the orbital prefrontal region. Data for ambiguous regions (eg, gray-white boundaries blurred) were obtained by tracing through the midpoint of the ambiguous region to the next clear boundary. Anatomic criteria for regional subdivisions are more difficult to delineate as one approaches the frontal pole. However, this lack of definition should not differ systematically among groups. In addition, the volume of the region is made up predominantly of the well-defined 4 posterior slices. There were no significant changes to the results when only the 4 posterior slices were used in the analyses.
Data were analyzed using absolute volumes and then normalized in the following 2 ways: (1) Regional volumes were divided by the subject's total intracranial volume (ICV), which is strongly related to premorbid absolute brain volume and does not change with age. Thus, when regional volumes are divided by ICV, the resulting measurement provides an index of atrophy of the region and corrects for the potential confounding factors of head size effects across age or sex between subject groups.26 (2) Regional volumes were divided by all other PFC regions combined. This measurement provides a relative index of preservation or degeneration of a particular region. Data are presented as a ratio of the region relative to the other PFC regions, yielding larger ratios for regions of selective preservation and smaller ratios for regions of selective degeneration relative to the rest of the PFC.
The ICV was defined as all nonbone pixels within the skull, beginning with the first slice in which the frontal poles were visible and ending at the occipital pole.14 Brainstem and infratentorial structures, including the cerebellum, were excluded from supratentorial structures by manually tracing boundaries using an atlas-defined protocol.14 Total ICV for each subject was determined as the sum of the supratentorial pixel area. Pixel areas within each region were transformed to volumes by multiplying total pixel counts across slices by a derived constant that transforms pixel size from the computer program to cubic centimeters. This transformation considers the MR scan field of view and image slice thickness of 4 mm using the following formula: pixel area × 0.8789 (pixels to square millimeters) × 4 (square millimeters to cubic millimeters by multiplying by slice thickness in millimeters) × 0.001 (cubic millimeters to cubic centimeters).
Data for all subjects were collected by a single examiner (D.H.S.). The examiner was unaware of subject group status and sex. Five brains underwent analysis 5 times each to generate reliability data. Reliability (intraclass correlation) for each region was 0.99 for total PFC, 0.97 for total gray matter, 0.94 for total white matter, and 0.76 for superior, 0.84 for middle, 0.85 for inferior, 0.89 for orbital, and 0.62 for anterior cingulate ROIs. Because only moderate reliability for the anterior cingulate region was achieved, and because of the small portion of the actual anterior cingulate in the slices analyzed, we do not report results for this ROI.
Demographic characteristics and regional volumes were compared between demographically matched YHE and OHE and between YHE and AD groups by separate, unpaired t tests. Differences were considered significant at P<.05 (2-tailed).
Per the study design, there was a significant difference in age between YHE and OHE subjects (t46 = 17.2; P<.01). The YHE and AD groups did not differ in age. Per the diagnostic criteria, AD subjects had significantly lower MMSE scores than did YHE subjects (t45 = 6.9; P<.01). The MMSE scores did not differ between YHE and OHE groups. There were no group differences in years of education or socioeconomic status.
The OHE group had significantly less total absolute and ICV-corrected total PFC volume (for both, t46>2.9; P<.01) and less PFC white matter volume (t46 = 3.3; P<.01; Figure 2A) compared with the YHE group. There was a marginal difference in PFC gray matter volume in the OHE compared with the YHE group (P = .05) (Figure 2A). There were no differences in PFC regions (for all, P>.20) (Figure 2B). To examine whether any region was particularly lost or preserved relative to the rest of the PFC, each region was analyzed as a ratio of all other regions combined. The proportion of PFC occupied by the orbital region was significantly greater in the OHE subjects compared with the YHE subjects (t46 = 2.4; P = .02). No differences between the YHE and OHE groups were found in the proportions of any other PFC region (Figure 2C-D).
The YHE and AD groups did not differ in total or regional absolute volumes. When corrected for ICV, the AD group had significantly less total PFC volume than did the YHE group (t46 = 2.2; P = .03). This difference was primarily due to a difference in gray matter, with the AD group having significantly less than the YHE group (t46 = 2.4; P = .02). There was no difference in PFC white matter volume in the AD group compared with the YHE group (P = .13; Figure 3A). The AD subjects had significantly less volume in inferior PFC (t46 = 2.1; P = .04) but not in any other PFC region (for all, P>.18) (Figure 3B-C). There were no differences between YHE and AD subjects when each region was analyzed as a proportion of all other regions combined, although there was a trend for the orbital region to be greater in AD subjects compared with YHE subjects (P = .07) (Figure 3D) in relation to all other regions.
We used volumetric analysis of the PFC to determine whether degeneration in healthy aging and AD is selective to particular regions within the PFC. The OHE group had less total and white matter PFC volume than did the YHE group, as previously reported in a smaller sample of partially overlapping subjects.5 The OHE group had a greater proportion of orbital regional volume to all other regions, suggesting that this region is resistant to atrophy in the healthy aged. The AD subjects had less total and gray matter PFC volume than did YHE subjects.5 The AD subjects had significantly less inferior PFC volume compared with YHE subjects, suggesting that this region is more susceptible to degeneration with AD. Our measurements of total prefrontal volume are smaller but in the range of previously published measurements using a similar procedure (eg, approximately 140 cm3 in a healthy sample of young subjects; mean age, 30.4 years27).
A previous study2 found loss of volume in orbital PFC, although the age range (18-77 years) and anatomical boundaries in that study differed from those in the current study. The orbital region in the previous study contained some of the inferior region described herein. Thus, differences in findings are likely related to subject selection (age) and the region measured.
An alternate interpretation of the findings of orbital preservation in YHE subjects is that this measurement reflects other biological differences. Subjects who remain neurologically healthy into late aging could have a greater orbital ratio throughout their life span, and this preservation could decline with the development of AD. The latter theory is in accord with findings of a previous histological study demonstrating that the orbital region (Brodmann area 11) showed preserved neural density with increasing age.28 A quantitative neuropathological study of healthy older adults would be useful to understand whether cellular changes differ in the orbital region compared with other PFC regions.
Volumetric preservation does not provide information about the functionality of the tissue. Preservation could also be due to pathologic mechanisms such as neuronal hypertrophy or gliosis as opposed to simple resistance to degeneration. Although these subjects were extremely healthy for their age, it is possible that at least some of the older subjects have clinically asymptomatic neuropathologic AD. Still, although subjects with preclinical AD might exist in the OHE group, this contamination is probably not responsible for the results seen in the current data, as the OHE and AD subjects differed in patterns of degeneration compared with the YHE subjects.
Regions more strongly connected to sites of primary degeneration with AD were expected to show greater volumetric differences in AD subjects compared with YHE subjects due to anterograde or retrograde degenerative processes. The orbital region of the prefrontal cortex was expected to show the greatest degeneration with AD due to connectivity with temporal lobe structures that degenerate in the early stages of the disease process, but this is not what we found. Our study was limited because approximately one third of the posterior aspect of orbital cortex was likely excluded in our measurements because of the use of the genu of the corpus callosum as a posterior landmark. Thus, degeneration could be prominent in the more posterior sector of the orbital region, as this area has the densest connectivity with temporal lobe structures. Also, degeneration in certain regions across time could be hidden in a cross-sectional study because of the confound of group differences in premorbid brain volume. Alternatively, it is possible that temporal lobe regions connected to the inferior PFC are more prone to degeneration compared with areas connected to orbital PFC.
The PFC measurements were not related to disease severity in the AD subjects (MMSE score; data not shown). Thus, it is unclear how prefrontal degeneration is related to cognitive decline. Still, the MMSE is a global scale of disease severity and thus not likely to contribute to understanding more subtle cognitive changes related to prefrontal function. Studies are currently under way in our laboratory examining the relationship between regional volumes and cognitive performance on tasks demonstrated to depend critically on different PFC regions in OHE subjects.
Accepted for publication April 25, 2001.
This research was supported by grants AG12611 and AG08017 from the National Institute on Aging, Bethesda, Md; grant MH11855 from the National Institute of Mental Health, Bethesda; and a Veterans Affairs Merit Review Grant, Portland, Ore.
The authors thank Milar Moore, Tamara Karnos, and Dave Kerr for technical assistance with this study.
Corresponding author and reprints: David H. Salat, PhD, Athinoula A. Martinos Center, Department of Radiology, Bldg 149, 13th St, Mail Code 149 (2301), Charlestown, MA 02129-2060 (e-mail: firstname.lastname@example.org).