
Laura A. Flashman
Barbara L. Malamut
Andrew J. Saykin
Recent research continues to advance our understanding of the boundary between normal aging and dementia. In addition to identifying changes associated with both normal and abnormal aging, researchers have identified a group of individuals whose cognitive deficits place them in an intermediate position on this continuum. The diagnosis of mild cognitive impairment (MCI) is given when older individuals have greater than expected memory impairment for their age but do not meet criteria for dementia (132). Thus, MCI denotes a transitional state between the cognitive changes associated with normal aging and the earliest clinical features of dementia (137,200). This “preclinical” phase is associated with neuropathologic and cognitive disturbances, which gradually rise to a level sufficient for a diagnosis of probable dementia (154). The original formal MCI criteria (56,136) include: (a) significant memory complaints, such as a chronic forgetting of important information, corroborated by an informant; (b) memory impairment on standardized tests relative to ageand education-matched healthy controls (at least 1.5 standard deviation below the mean); (c) otherwise normal cognitive function; (d) normal activities of daily living (ADLs); and (e) failure to meet criteria for dementia. This profile is now considered to indicate the amnestic subtype of MCI (132).
Compared to age-matched peers, individuals with a diagnosis of MCI generally present with subjective memory difficulties of insidious onset. In fact, subjective cognitive complaints can be a harbinger of dementia even before the development of demonstrable cognitive deficits, particularly in highly educated individuals (90). As time progresses, the memory problem becomes more frequent and significant. Despite increasing memory problems, social and occupational functioning is relatively preserved. Nonmemory cognitive domains are relatively spared in MCI, as originally defined, but in practice, they may fall slightly below age- and education-based normative data. For example, speed of processing and cognitive flexibility may be subtly impaired (132).
As more researchers have become involved in studying MCI, it has become clear that it is not a homogeneous disorder, and there appear to be several cognitive subtypes (148). Currently, there are four classifications of MCI, which are based on the presence or absence of memory problems and difficulties in other cognitive domains. These are amnestic MCI-single domain, amnestic MCI-multiple domains, nonamnestic MCI-single domain, and nonamnestic MCI-multiple domains (24). At one time, it was believed that the amnestic variant of MCI would progress to Alzheimer’s disease (AD), whereas the other MCI forms would progress to other forms of dementia such as Lewy body or vascular dementia (136). However, more recent studies have shown that cognitive subtypes of MCI are not necessarily predictive of conversion to specific types of dementia, and both amnestic MCI and nonamnestic MCI frequently develop into AD (53,114). In a community-based study of 980 dementia-free people with diagnoses of all four cognitive subtypes of MCI, many of the individuals continued to demonstrate cognitive decline and eventually dementia. All forms of MCI, except nonamnestic MCI-multiple domains, converted to AD within 6 years of follow-up, whereas many individuals in the nonamnestic MCI-multiple domains group progressed to non-AD forms of dementia (24). More longitudinal studies of the various MCI clinical profiles are needed to diagnose individuals as early as possible in the disease course so that, when further treatments become available, they can be used before there is too much irreversible brain damage.
This chapter will focus on the amnestic variant of MCI. Current estimates indicate conversion rates from MCI to AD of between 6% and 25% per year (133), with most studies falling in the 10% to 15% per year range (19,46,56,133,136,188). This is significantly greater than the 1% to 2% per year rate at which AD develops in the normal elderly population. Petersen et al. (136) report that up to 50% of individuals diagnosed with MCI will convert to AD within 4 years, and Morris et al. (124) report a conversion rate of >80% in individuals followed for 9.5 years.
Given the likelihood of progression to AD in individuals with MCI, early identification and diagnosis have important implications for treatment (2).
Although it is not yet clear who will or will not convert to AD, several potential risk factors have been identified. Prominent among the risk factors is the presence of the apolipoprotein (ApoE) ε4 allele. ApoE is a marker initially studied as a risk factor for cardiovascular disease. It is involved in the normal regulation of phospholipid metabolism and cholesterol and may play a role in neural repair. Identified cognitive correlates of ApoE genotype include subtle decreases on verbal memory tested over time in longitudinal studies (33) and failure to benefit from cueing at recall (134). Neuroimaging associations with ApoE include mesial temporal lobe changes such as decreased volume of the hippocampus (82) and entorhinal cortex (58,82,95,96,103), as well as decreased medial temporal gray matter (201). The use of magnetic resonance imaging (MRI) or other imaging techniques such as functional neuroimaging may be useful to distinguish MCI patients who will develop AD from those who will not (27).
Although it is not yet clear who will or will not convert to AD, several potential risk factors have been identified. Prominent among the risk factors is the presence of the apolipoprotein (ApoE) ε4 allele. ApoE is a marker initially studied as a risk factor for cardiovascular disease. It is involved in the normal regulation of phospholipid metabolism and cholesterol and may play a role in neural repair. Identified cognitive correlates of ApoE genotype include subtle decreases on verbal memory tested over time in longitudinal studies (33) and failure to benefit from cueing at recall (134). Neuroimaging associations with ApoE include mesial temporal lobe changes such as decreased volume of the hippocampus (82) and entorhinal cortex (58,82,95,96,103), as well as decreased medial temporal gray matter (201). The use of magnetic resonance imaging (MRI) or other imaging techniques such as functional neuroimaging may be useful to distinguish MCI patients who will develop AD from those who will not (27).
COGNITION
Given the heightened risk for dementia in patients with MCI as compared to cognitively intact older adults, researchers are closely examining the neuropsychological profiles of these individuals. The diagnoses of MCI and AD both require the presence of memory impairment. To distinguish between MCI and AD, it is important to determine not only the degree and course of memory impairment, but also, in particular, the presence or absence of additional domains of cognitive dysfunction and the impact of cognitive problems on the individual’s daily functioning (32,132,135,136).
The initial memory impairment exhibited in AD is the most distinguishing early feature of the disease. Specific components of memory are differentially affected as a function of stage of AD. Episodic and semantic memory are impaired early in AD, with episodic memory perhaps showing the earliest changes. In contrast, other components such as procedural memory may remain relatively unaffected until later in the disease (14,25,102,140,166,167).
Diagnosis of MCI is complicated by disagreements about its definition and classification process and by research indicating that many MCI patients show subtle nonamnestic difficulties and other clinical problems (115,117,118,146,183,200). Although the primary cognitive deficit identified in MCI is impairment in episodic memory, individuals also may demonstrate relative weaknesses in other areas of cognition, with performance falling below expected levels of functioning. Research indicates that mild declines in executive functioning are present in preclinical dementia and that neuropsychological measures of executive function can be useful in predicting later conversion to AD (1,28,38,49,124,146). Furthermore, patients who present with primary complaints about recent memory also frequently voice concern about aspects of executive functioning (38,112). These findings suggest that changes in executive functioning may be a subtle manifestation of incipient AD, along with memory dysfunction.
Additionally, although initial conceptualizations of MCI excluded changes in ADL and instrumental ADL (IADL) functioning, research suggests that tests of IADL skills may be helpful in the differential diagnosis. Recent work suggests that some MCI patients may present with mild impairments in higher order activities, such as financial capacity (70,123). Research also shows that, even at the early stages of cognitive impairment, caregivers of MCI patients take on new responsibilities including medication administration, medical decision making, meal preparation, transportation, and managing finances (63). These IADL deficits have been related to brain structure and function in patients with AD (177). Furthermore, consideration of mood through measures of depression (e.g., Geriatric Depression Scale or Beck Depression Inventory) and vascular involvement (72) are also likely to help with differential diagnosis.
NEUROANATOMY
Normal aging is associated with a 7% to 8% decrease in brain weight (113,191), as well as subtle changes in brain structure, including generally mild cortical atrophy and ventricular enlargement. Region-specific studies show greater neuronal decreases in some areas, including the superior frontal and temporal gyrus, precentral gyrus, visual cortex, locus ceruleus, substantia nigra, nucleus basalis of Meynert, and cerebellar Purkinje cells (113). In primary degenerative dementia, the decrease in brain weight is as much as 10% more than that seen in normal aging (186). As with normal aging, atrophy and eventual cell loss are region specific in AD. Structural brain changes have also been reported in patients with MCI. Medial temporal structures, including the hippocampus and entorhinal cortex, are particularly vulnerable.
STRUCTURAL IMAGING
A relatively recent advance in the evaluation of people with suspected AD is the use of structural imaging to assess in vivo neuroanatomic changes. This noninvasive technique can also be used in conjunction with neuropsychological test data to better understand the relationship between the structural brain changes and the cognitive deficits that characterize the disease.
HIPPOCAMPUS
Integrity of the hippocampus has been strongly implicated in episodic memory (61). MRI studies indicate substantial hippocampal atrophy in AD, even in the very early stages of the disease (80,87,104,111,162). In contrast, the hippocampus is spared significant aging effects through the seventh decade of life in healthy normal people (13). Studies of hippocampal atrophy in patients and healthy controls have reported age-related volume changes (i.e., greater volume loss with increased age) only in healthy controls; in contrast, in patients with MCI and AD, volume reductions were not related to age (40,45). Although minimal longitudinal data are available, Jack et al. (83,84) reported significant annual decline in hippocampal volume in healthy older adults; MCI patients showed somewhat greater rates of decline, whereas patients with AD showed the greatest decline. Furthermore, within the control and MCI groups, clinical decline was related to greater rates of hippocampal atrophy. Using an innovative surfacebased hippocampal analytic technique on structural MRI data, Apostolova et al. (5) have demonstrated that hippocampal atrophy spreads in a pattern that follows the known trajectory of neurofibrillary tangle dissemination, with the main group differences between AD and MCI participants in the CA1 region bilaterally and the CA2 and CA3 region on the right. Age, race, gender, education, and Mini-Mental State Examination (MMSE) were significant predictors of hippocampal volume, and hippocampal volume was a significant predictor of clinical diagnosis.
Wang et al. (195) measured cerebrovascular volume and blood-brain barrier permeability in the hippocampus and cerebellum of 11 patients with MCI relative to 11 elderly normal control subjects using dynamic contrast-enhanced MRI (DCE-MRI). They found that the enhancement kinetics measured from hippocampus of MCI individuals demonstrated a lower magnitude and slower decay than healthy controls, suggesting that they had a smaller vascular volume in the right side.
Several studies have examined the relationship between hippocampal volume and cognitive functioning. For example, in the above study, Wang et al. (195) found that the vascular volume index was significantly correlated with naming ability in individuals with MCI and normal controls. de Leon et al. (40) found that, after controlling for age, education, and immediate memory, a significant correlation was found between delayed memory and hippocampal atrophy in normal controls but not in individuals with MCI. In contrast, Convit et al. (35) found that there was a relationship between delayed memory function and hippocampal volume in both healthy controls and patients with MCI. This may reflect the degree of impairment in the MCI population in the de Leon study, since these relations become harder to detect as cognitive impairment becomes more severe. General cognitive measures, such as the MMSE, did not distinguish between normal controls and participants with MCI and had no relationship to hippocampal volumes. This lack of association has also been reported in patients with AD (45). Wilson et al. (199) reported that hippocampal formation volume was associated with a delayed recall measure, but not with immediate recall, and with an object naming test in patients with AD. Medial temporal region volumes have been found to be correlated with delayed memory performance in patients with AD (108) and in nondemented elderly individuals (35,66).
ENTORHINAL CORTEX
Recent evidence strongly suggests that one of the earliest changes in AD is neurofibrillary tangles in the entorhinal cortex (EC) (21). MRI studies show significant reductions of EC volume in AD (43,95,110,129). Juottonen et al. (95) reported a significant correlation between left EC volume (corrected for whole brain size) and MMSE scores in patients with AD. Measurement of the EC also appears to be a useful marker for early diagnosis (15), and more recent studies have shown that EC volume is reduced in MCI patients compared to controls on MRI (204) and postmortem evaluation (109). Furthermore, baseline volumes of the EC appear to predict conversion from MCI to AD (58,82,103).
OTHER STRUCTURAL CHANGES
Other important limbic system structures have also been examined to further understand where there are structural changes in the early stages of dementia. Copenhaver et al. (36) examined the volumes of the fornix and mammillary bodies in nondepressed older patients with mild AD or MCI and demographically matched healthy controls. After adjustment for total intracranial volume (ICV), significant volume reductions were observed in the fornix and mammillary bodies, which are two structures known to be involved in episodic memory (61,62,98,99,126,184,206). When patients with AD were compared with controls and MCI participants, there was relative preservation of these structures in preclinical disease stages, indicating that atrophy of the fornix and mammillary bodies becomes apparent at the point of conversion from MCI to AD.
Studies examining the corpus callosum have yielded variable results. Wang et al. (197) reported that individuals with AD had significantly smaller callosum areas than healthy controls. Both the AD and the MCI group demonstrated a significant reduction of the posterior region (isthmus and splenium) of the
corpus callosum relative to controls. However, Thomann et al. (187) reported that the corpus callosum was significantly smaller in patients with MCI and AD in rostral parts of the corpus callosum. In contrast, Wang and Su (196) found that hippocampal volume, but not corpus callosum volume, was significantly reduced in MCI patients relative to healthy controls. Using diffusion-weighted imaging analysis, however, they reported that apparent diffusion coefficient (ADC) values for both hippocampus and corpus callosum were increased in MCI to a similar extent. They concluded that alterations in water diffusivity may precede corpus callosum atrophy during the development of MCI, whereas diffusion changes may occur simultaneously in allocortex and neocortex.
corpus callosum relative to controls. However, Thomann et al. (187) reported that the corpus callosum was significantly smaller in patients with MCI and AD in rostral parts of the corpus callosum. In contrast, Wang and Su (196) found that hippocampal volume, but not corpus callosum volume, was significantly reduced in MCI patients relative to healthy controls. Using diffusion-weighted imaging analysis, however, they reported that apparent diffusion coefficient (ADC) values for both hippocampus and corpus callosum were increased in MCI to a similar extent. They concluded that alterations in water diffusivity may precede corpus callosum atrophy during the development of MCI, whereas diffusion changes may occur simultaneously in allocortex and neocortex.
Of clinical importance is the identification of markers that can be used routinely to help predict which patients with MCI will actually progress to dementia. One study (64) found that use of standardized visual assessment of medial temporal atrophy (MTA) was an accurate predictor of progression in patients with MCI with memory disturbance only or with MCI with memory and other neuropsychological deficits compared to nonamnestic MCI patients. Other investigators have demonstrated the importance of measuring whole brain volume (57,58) to differentiate AD patients from healthy controls. White matter (WM) lesions (9,39,51,202) and metabolite changes [for review, see Valenzuela and Sachdev (192)] may also be helpful to distinguish between healthy controls and individuals with MCI and AD. These measures may prove to be useful early indicators of conversion from MCI to AD.
Normal aging, MCI, and AD have been associated with loss of gray matter (GM) and WM (136,145,193). For example, van Es et al. (193) recently evaluated whether structural brain damage in AD and MCI, as detected by magnetization transfer imaging (MTI), is located in the GM and/or WM. Their results indicated that participants with AD had a lower GM volume than controls, whereas both MCI and AD patients demonstrated more structural changes in both GM and WM than healthy controls. Furthermore, in MCI and AD, cerebral lesion load in both GM and WM was associated with the degree of cognitive impairment, indicating that cerebral changes are present in GM and WM even before individuals are clinically demented. In other work examining GM and WM differences, higher ADCs were found in hippocampus, temporal lobe GM, and corpus callosum of patients with MCI compared with control subjects (144). With all subjects pooled together, an elevated hippocampal ADC was significantly correlated with worse memory performance scores in 5-minute and 30-minute delayed word list recall tasks.
Similarly, there are reports of a hierarchical change in cortical thickness (168), with the thickness of the cortex significantly decreased when healthy elderly brains were compared to those with MCI. A reduction of cortical thickness was found mainly in the medial temporal lobe region and in some regions of the frontal and parietal cortices. With the progression of disease from MCI to AD, a general thinning of the entire cortex with significant extension into the lateral temporal lobe was found. Interestingly, in all cases, the results were more pronounced in the left hemisphere.
RECENT ADVANCES
Voxel-based morphometry (VBM) is a recent method for looking at structural images that may be sensitive to the earliest stages of dementia, before the onset of cognitive changes measurable on comprehensive neuropsychological evaluation. VBM assesses GM and WM tissue compartments on a voxel-by-voxel basis and has the advantages of automation, reliability, and unbiased comprehensive sampling across the brain (7,67). Regional decline in GM volume has been reported in healthy adults as a function of age (68,182,189), with more pronounced reductions reported in patients with MCI (29,101,130) and AD (10,23,29,59,69,71,100). Consistent with more traditional reports, the regions most frequently implicated include medial temporal lobe structures (including the EC) and cingulate, as well as diffuse cortical association regions (10,23,29,59,69,71,100,101). GM density changes in the temporal, frontal, and parietal lobes have also been reported (20), with volumes in the MCI group frequently falling intermediate between the AD and healthy control group.
Researchers have attempted to assess whether different patterns of regional GM loss in patients with MCI are associated with different risks of conversion to AD (20,30) and found that MCI-to-AD converters show more widespread areas of reduced GM density than nonconverters, particularly in the hippocampal region, inferior and middle temporal gyri, posterior cingulate, and precuneus, with a pattern of abnormalities similar to that seen in patients with AD. This appears to be a promising technique for identification of relevant patterns of GM density distribution in patients with MCI who may be more likely to convert to AD. The boundary shift index (152) has been similarly employed to examine regional atrophy.
Magnetic resonance diffusion tensor imaging (DTI) has also shown promise for early detection. DTI can measure, in vivo, the directionality of diffusion of water molecules and estimate the integrity of WM tracts. Significant statistical differences in diffusivity measurements between groups are determined on a voxel-by-voxel basis. Several studies have
examined WM integrity in individuals with MCI (52,120,150). Studies have found changes in WM integrity in multiple posterior WM regions (120), as well as in the left temporal area and in the left hippocampus (52), in participants with MCI and AD compared to controls. Rose et al. (150) assessed differences in the brains of participants with MCI relative to an age-matched control group and found significantly raised mean diffusivity measurements in the left and right ECs (BA28), posterior occipital-parietal cortex (BA18 and BA19), right parietal supramarginal gyrus (BA40), and right frontal precentral gyri (BA4 and BA6) in participants with MCI. Significant correlations were found between neuropsychological assessment scores and regional measurements of mean diffusivity and fractional anisotropy.
examined WM integrity in individuals with MCI (52,120,150). Studies have found changes in WM integrity in multiple posterior WM regions (120), as well as in the left temporal area and in the left hippocampus (52), in participants with MCI and AD compared to controls. Rose et al. (150) assessed differences in the brains of participants with MCI relative to an age-matched control group and found significantly raised mean diffusivity measurements in the left and right ECs (BA28), posterior occipital-parietal cortex (BA18 and BA19), right parietal supramarginal gyrus (BA40), and right frontal precentral gyri (BA4 and BA6) in participants with MCI. Significant correlations were found between neuropsychological assessment scores and regional measurements of mean diffusivity and fractional anisotropy.

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