Elsevier

NeuroImage

Volume 19, Issue 3, July 2003, Pages 1137-1144
NeuroImage

Regular article
Voxel- and VOI-based analysis of SPECT CBF in relation to clinical and psychological heterogeneity of mild cognitive impairment

https://doi.org/10.1016/S1053-8119(03)00168-XGet rights and content

Abstract

This study aimed to explore the heterogeneity of mild cognitive impairment (MCI) and detect differences in regional cerebral blood flow (rCBF) and cognitive function between progressive mild cognitive impairment (PMCI) and stable mild cognitive impairment (SMCI) in order to identify specific changes useful for early diagnosis of dementia. SPECT was performed in 82 MCI subjects and 20 controls using Tc-99m hexamethylpropyleneamine oxime. Cognitive functions were tested in five domains which included episodic memory, semantic memory, visuospatial function, attention, and general cognitive function. After the initial examination, MCI subjects were clinically followed for an average of 2 years. Twenty-eight subjects progressed to dementia and were defined as PMCI at baseline and 54 subjects remained stable and were defined as SMCI at baseline. The baseline rCBF and cognitive function of PMCI, SMCI, and controls were compared. PMCI had decreased relative rCBF in the parietal lobes and increased relative rCBF in prefrontal cortex compared to SMCI and controls at baseline. The cognitive function of PMCI was more severely impaired compared to SMCI with respect to episodic memory and visuospatial and general cognitive function. Both SPECT and neuropsychological tests had moderate discriminant function between PMCI and SMCI at baseline with the area under the receiver operating characteristic (ROC) curve at 75–77%. The combination of these two methods improved the diagnostic accuracy with the area under the ROC curve at 82–84%. Semantic memory and attention were negatively correlated with left prefrontal relative rCBF among the study population. The results show that the clinical heterogeneity of MCI is reflected in different patterns of psychological and CBF changes. Combined SPECT investigation and neuropsychological testing might predict the future development of dementia in patients with MCI.

Introduction

Mild cognitive impairment (MCI) is an operational diagnostic term which includes the preclinical phase of dementia. However, it is a large heterogeneous group with a variety of clinical outcomes. Some MCI subjects go on developing dementia, particularly Alzheimer’s disease (AD). These MCI subjects are defined as having progressive mild cognitive impairment (PMCI). Some may remain stable and never progress to any significant extent. Subjects with functional memory impairment induced by psychological disorders such as depression are also included in the MCI group. Such patients might improve after several months’ follow-up. Identification of PMCI versus nonprogressive or stable mild cognitive impairment (SMCI) subjects is important for the early diagnosis of dementia and effective therapeutical interventions, which in turn may delay or even prevent the onset of the disease process.

Memory deficits, especially delayed recall, have been frequently reported to be the first cognitive function affected in the early stage of AD Elias et al 2000, Small et al 2000, Tierney et al 2000. However, the memory deficits remain relatively stable for a long preclinical phase until dementia can be diagnosed (Small et al., 2000). Simultaneous impairments have also been found in multiple cognitive domains, such as verbal, visuospatial processes, attention and executive function, abstract reasoning, and retention. Procedural memories, as well as sensory and motor abilities, are relatively well preserved Howieson et al 1997, Small et al 1997, Tierney et al 2000. Moreover, Tierney et al. (2000) showed that the Mini-Mental State Examination (MMSE) is a useful test in predicting future onset of AD, with a specificity of 96 to 98%, but a sensitivity of 31 to 41%.

However, results from functional imaging studies have so far shown some inconsistency. Small et al. (1995) showed that the metabolic reduction in parietal lobe and hemisphere asymmetry were more pronounced among the genetic at-risk subjects than controls. The single photon emission computed tomography (SPECT) study of Kogure et al. (2000) found that posterior cingulate and precuneus were the earliest signs of the disease progress, and even preceded the hypoperfusion of hippocampus and parahippocampus. Moreover, the functional changes of the parietotemporal region, thalamus, and prefrontal cortex in preclinical dementia are also under debate Johnson et al 1998, Kennedy et al 1995, Kogure et al 2000, Minoshima et al 1997, Reiman et al 1996.

In a previous study, we found a reduction in posterior cingulate perfusion was related to later development of dementia in patients with MCI (Huang et al., 2002). In that study we used an automated volumes-of-interest (VOI)-based analysis, designed to map significant regional changes at an individual level. However, especially when comparing group data, the VOI method is restricted by the rather large predefined anatomical VOIs. A voxel-based analysis of Statistical Parametric Mapping (SPM) (Wellcome Department of Cognitive Neurology, University College, London) might give the possibility of finding more anatomically discrete changes. However, the feasibility of SPM for analyzing the subjects at an individual level is limited. For these reasons, we have now examined a larger sample of MCI patients with voxel-based analysis of SPM and explore the possibility of calculating the diagnostic accuracy between groups using VOI-based BRASS analysis, with VOI selection guided by the SPM results.

Our study aimed to detect the differences of brain perfusion and compare the patterns of cognitive function among PMCI, SMCI, and age-matched controls in order to identify the subjects at risk for the future development of dementia. We also correlated the regional cerebral blood flow (rCBF) and the neuropsychological tests to explore the relation between brain perfusion and cognitive function.

Section snippets

Subject selection

Eighty-two MCI subjects were evaluated. The subjects were selected from those individuals consecutively investigated for suspected dementia at the Geriatric Clinic, Huddinge University Hospital, Stockholm, Sweden. Twenty control subjects were recruited through advertisements in the press, the Swedish Pensioner Society, and a Driving and Aging project.

All subjects underwent general medical, neurological, psychiatric, and neuropsychological evaluation, as well as neuroimage diagnostic procedures

Neuropsychological tests

Group comparisons showed that both PMCI and SMCI had impaired function at baseline in all the tested cognitive domains compared to controls (Table 1). PMCI had more severe cognitive deficits compared to SMCI at baseline in episodic memory represented by the word recognition test, in visuospatial function represented by Block Design, and in general cognitive function represented by MMSE.

Group comparison

The relative rCBF was obtained using global CBF as a reference region. Similar patterns were found before and

Discussion

The results demonstrated that the discriminative factors between PMCI and SMCI at baseline involve both rCBF and cognitive function. It is important to emphasize that in the clinical diagnostic procedure at baseline, these groups both fulfilled MCI criteria, and could not be separated without follow-up data. Using voxel-based analysis we could detect selective rCBF changes in PMCI with reduced blood flow in parietal lobe and enhanced brain perfusion in prefrontal lobe. The neuropsychological

Conclusion

This study combining voxel- and VOI-based analysis shows that the clinical heterogeneity of MCI is reflected in different patterns of psychological and rCBF changes. PMCI had an impaired cognitive function and significant rCBF changes compared to SMCI. Combined SPECT investigation and neuropsychological testing might predict the future development of dementia in patients with MCI.20

Acknowledgements

This work was supported by the Swedish Medical Research Council, the Swedish Council for Social Research, the Gamla Tjänarinnor Foundation, the Greta Lindenau-Hansell Foundation, Alzheimerfonden, the Karolinska Institute, and the Swedish Society of Medicine. Dr. Jesper Andersson at the MR center, Karolinska Hospital, is gratefully acknowledged for his kind and efficient and in the Statistical Parametric Mapping analysis.

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