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Brain, Vol. 125, No. 5, 1116-1124, May 2002
© 2002 Guarantors of Brain

The neural substrates of episodic memory impairment in Alzheimer’s disease as revealed by FDG–PET: relationship to degree of deterioration

Béatrice Desgranges1, Jean-Claude Baron1,2, Catherine Lalevée1, Bénédicte Giffard1, Fausto Viader1, Vincent de la Sayette1 and Francis Eustache1,2

1 EMI INSERM-Unive Laboratoire de Neuropsychologie, CHU Côte de Nacre, Centre CYCERON, France and 2 Department of Neurology, University of Cambridge, Cambridge, UK

Correspondence to: Béatrice Desgranges, EMI INSERM, Université de Caen Laboratoire de Neuropsychologie, CHU, Côte de Nacre, 14033 Caen Cedex, France E-mail: desgranges-b{at}chu-caen.fr

Received September 7, 2001. Revised November 27, 2001. Accepted December 12, 2001.


    Summary
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
In a previous investigation, we raised the hypothesis that in Alzheimer’s disease the cerebral structures implicated in episodic memory deficits may differ according to the severity of cognitive impairment. To test this hypothesis, Story Recall test scores and PET measurements of resting cerebral glucose utilization, a measure of synaptic integrity, were obtained in 40 patients. Using SPM96 (statistical parametric mapping 1996), positive correlations between the two sets of data were calculated on a voxel basis, first in the whole patient sample and then separately in the two subgroups of 20 patients differing in Mini-Mental State Examination score, i.e. those with least impaired and those with most impaired performance (‘less severe’ and ‘more severe’ subgroups, respectively). In the whole sample, significant correlations (P < 0.05, corrected for multiple tests) involved bilaterally not only several limbic structures (the hippocampal/rhinal cortex regions, posterior cingulate gyrus and retrosplenial cortex) but also, and less expectedly, some temporo-occipital association areas. However, the subgroup analysis disclosed that, in the less severe subgroup, all significant correlations (P < 0.005, uncorrected) were restricted to the parahippocampal gyrus and retrosplenial cortex, in accordance with both the distribution of changes in tau in early Alzheimer’s disease and the known involvement of this network in normal and impaired memory function, while in the more severe subgroup they mainly involved the left temporal neocortex, which is known to be implicated in semantic memory. These findings suggest that, when episodic memory is mildly impaired, limbic functions are still sufficient to subserve the remaining performance, whereas with more severe memory deficit resulting from accumulated pathology the neocortical areas that are normally involved in semantic memory are recruited, perhaps as a form of (inadequate) compensatory mechanism.

Keywords: positron emission tomography; SPM; CMRGlc

Abbreviations: CMRGlc= cerebral metabolic rate for glucose; FOV = field of view; nCMRGlc = normalized cerebral metabolic rate for glucose; 18FDG = [18]fluoro-2-deoxy-D-glucose


    Introduction
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
The earliest and most severe cognitive deficit in Alzheimer’s disease concerns episodic memory (Gainotti et al., 1998Go). Pathologically, neurofibrillary tangles first appear in the rhinal cortex, then in the hippocampus, and finally spread into the neocortex (Braak and Braak, 1991Go; Delacourte et al., 1999Go). However, the precise relationships between lesions and memory impairment remain elusive because the post-mortem data that are available were obtained on patients with extensive impairment in several different cognitive domains. Functional imaging is one way to assess these relationships in vivo at an early stage. However, activation studies in Alzheimer’s disease have proved difficult to interpret, probably because cognitive strategies are hard to control when making comparisons with normal subjects (Becker et al., 1996Go; Herbster et al., 1996Go; Bäckman et al., 1999Go; Rombouts et al., 2000Go). We have previously used voxel-based mapping of the correlations between memory performance and resting regional metabolic rates of glucose, and have shown the sensitivity of this approach in unravelling the neural substrates of cognitive impairment in Alzheimer’s disease (Penniello et al., 1995Go; Desgranges et al., 1998Goa; Eustache et al., 2001Go). Being closely related to synaptic activity, the resting cerebral metabolic rate for glucose (CMRGlc) is sensitive to neurodegenerative processes, and it can show focal metabolic declines even in the presymptomatic stages of familial Alzheimer’s disease (Kennedy et al., 1995Go; Reiman et al., 1996Go). Although we (Desgranges et al., 1998Goa) and others (Perani et al., 1993Go), using this approach, showed that deficits in particular memory systems (episodic, semantic and working memory) were subserved by distinct structures, in our study the loci of some correlations did not fit hypotheses based on available knowledge. To explain these unexpected findings, we proposed that new mechanisms come into play to compensate for the processes normally employed when these processes become inadequate. In other words, the pattern of metabolic correlations with a given neuropsychological test performance may depend on the degree of cognitive impairment.

To test this hypothesis, we performed a follow-up investigation in an enlarged sample of 40 patients with mild to moderate probable Alzheimer’s disease, expanding upon our previous work on the correlations between resting CMRGlc and episodic memory performance, assessed with the Story Recall test. We predicted that performance in this memory test would correlate with hippocampal–limbic structures in the least impaired patients and with brain areas not normally devoted to episodic memory in the most impaired patients.


    Methods
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Patients
The subjects of this study comprised the 19 patients of our previous study (Desgranges et al., 1998Goa) [age 70.5 ± 6.6 years, Mini-Mental State Examination (MMSE) score 20.2 ± 3.5] and 21 new patients (age 73.1 ± 5.6 years, MMSE 22.3 ± 2.5). The whole sample (age 72 ± 6.1 years, MMSE 21.3 ± 3.2) was made up of 22 women and 18 men, all right-handed and with at least 8 years of education. All were selected prospectively on the basis of a neurological examination, and a neuropsychological assessment, using the NINCDS–ADRDA (National Institute of Neurological and Communicative Disorders and Stroke and The Alzheimer’s Disease and Related Disorders Association) criteria for probable Alzheimer’s disease (McKhann et al., 1984Go). Standard laboratory examinations were normal for all patients and structural imaging (MRI or CT) showed no focal abnormality. At the time of the study, none of the patients was being or had been treated with specific medication, such as anti-acetylcholinesterase agents. The patients gave their consent to the study after detailed information had been provided to them, and the PET procedure was approved by the Ethics Committee of the University of Caen. The study was done according to the Declaration of Helsinki.

General procedure
Within an interval of a few days at most, each patient underwent a neuropsychological examination and a PET measurement of resting CMRGlc.

Neuropsychological protocol
Verbal episodic memory was assessed with a classical 12-item Story Recall task taken from the BEM (Batterie d’Efficience Mnésique) 144 memory battery (Signoret, 1991Go). This task involves a story about a man whose car is out of order and who wants to buy another.

PET study
The CMRGlc was measured at rest, using [18F]fluoro-2-deoxy-D-glucose (18FDG). For the first series of 19 patients, we used a seven-slice LETI-TTV 03 camera [field of view (FOV) = 81 mm], according to the stringent head-positioning procedure described previously (Desgranges et al., 1998Goa). For the second series of 21 patients, because of equipment upgrading, we used the Emission CAT Exact HR+ device (FOV = 158 mm), with the patient positioned parallel to the canthomeatal line; we used exactly the same scanning protocol as for the first group (for details see Desgranges et al., 1998Goa). All studies were done in the resting state with the eyes closed in a quiet, dark environment. Following 68Ga transmission scans, 3–5 mCi of 18FDG was injected as a bolus and blood samples were obtained from a radial artery catheter to determine the time-course of 18FDG in plasma and the average plasma glucose concentration. Fifty minutes after injection, a 10 min PET data acquisition period started with the HR+ device, and 63 planes were acquired with septa out (volume acquisition). The lateral resolution used was 2.2 x 2.2 mm and the slice thickness was 2.43 mm. During PET data acquisition, head motion was continuously monitored with, and whenever necessary corrected according to, laser beams projected onto ink marks drawn over the forehead skin. The 18FDG images were transformed into parametric maps of CMRGlc according to the operational equation of Phelps et al. (1979Go). To take into account the different spatial resolution of the two PET devices, the HR+ data were degraded at reconstruction and smoothed axially to match the effective TTV03 resolution (i.e. x, y, z 5.5, 5.5, 12 mm), according to the procedure described by Small et al. (2000Go).

As done previously (Desgranges et al., 1998Goa) and in order to control for the variance in global CMRGlc, the CMRGlc images were divided, pixel by pixel, by the individual value for the cerebellar vermis, resulting in normalized CMRGlc values (nCMRGlc).

SPM method
The nCMRGlc images were transferred to a Sun workstation. Manipulation of the image matrix (stereotaxic normalization) and statistical calculations were carried out with MATLAB (Mathworks, Sherborn, Mass., USA). With the SPM96 (statistical parametric mapping 1996) software (Wellcome Department of Cognitive Neurology, London, UK), individual images from both PET data sets were transformed into Talairach’s stereotaxic space (Talairach and Tournoux, 1988Go) and smoothed in three dimensions using the same three-dimensional Gaussian filter of 16 mm. Resliced voxel size was 2 x 2 x 2 mm. In order to minimize ‘edge effects’ without excluding hypometabolic tissue, only those voxels with values >40% of the mean for the whole brain were selected for the statistical analysis (Desgranges et al., 1998Goa). The SPM analysis was restricted to the common FOV segment (i.e. that of the TTV03 device; Fig. 2). The results were obtained in two forms: (i) projection of the significant voxels onto a standard MRI template; (ii) peaks with their Talairach coordinates, using M. Brett’s set of linear transformations (www.mrc-cbu.cam.ac.uk/imaging/mnispace.html).



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Fig. 2 Positive correlations between Story Recall scores and nCMRGlc from SPM96 analysis. For anatomical orientation, the significant correlations are shown as coloured voxels projected on to a normal MRI set oriented in Talairach space (plane 1 corresponds to the Talairach plane –24 mm below the bicommissural plane, with an interval of 2 mm per unit in the slice numbering shown). The MRI set has been cut out to show only the voxels that were analysed, i.e. those in which nCMRGlc was >40% of the mean nCMRGlc and which were common to all patients. The right hemisphere corresponds to the right side of the figure. Top row: whole group (n = 40, P < 0.05, corrected for cluster level; SPM maps thresholded at Z > 3.09). Middle row: less severe subgroup (n = 20, P < 0.005, uncorrected). Bottom row: more severe subgroup (= 20, P < 0.005, uncorrected).

 
Statistical analysis
In order to characterize the patients in terms of episodic memory performance, their Story Recall scores were compared with those obtained for a group of 30 healthy controls (Desgranges et al., 1996Go) (age 70.7 ± 9.9 years). The patient sample was then subdivided with respect to the median MMSE score for the whole group (i.e. 21) into two equal subgroups of 20 patients each: a ‘less severe’ subgroup and a ‘more severe’ subgroup. There was no significant difference between the two subgroups regarding either age or number of years of education (Table 1).


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Table 1 Patient characteristics, Story Recall and MMSE scores for the two subgroups of Alzheimer’s disease patients
 
Correlations between Story Recall scores and PET data were searched first in the whole sample and then separately in the two subgroups, using the general linear model (Friston et al., 1995Go). Although resting glucose utilization by the brain reflects local baseline integrated synaptic activity and is thus sensitive to neuronal lesions as well as synaptic dysfunction, both of which are altered in Alzheimer’s disease (McCulloch, 1982Go), all studies that have performed voxel-based atrophy correction of resting glucose utilization by the brain have concluded that the reduction in cerebral metabolism represents a true loss of functional activity and not simply an artefact caused by brain atrophy (e.g. Ibanez et al., 1998Go; Baron et al., 2001Go; Bokde et al., 2001Go). Moreover, some correlational studies (not voxel-based) took cerebral atrophy into account in their analysis and the results were nearly the same as those obtained without correction for atrophy (e.g. Slansky et al., 1995Go). We looked for all voxels where nCMRGlc was significantly and positively correlated with Story Recall score. The statistical threshold chosen was adjusted for sample size. Thus, for the whole group (n = 40), SPM maps thresholded at Z > 3.09, P < 0.001 were obtained, but only those correlations significant at P < 0.05, cluster-level corrected for multiple tests, were retained. With respect to the two subgroups, a statistical threshold of P < 0.005 (uncorrected) was chosen. This is less liberal than the threshold used in many previous SPM correlative studies (e.g. O’Brien et al., 1992Go; Grasby et al., 1993Go; Nyberg et al., 1996Go; Desgranges et al., 1998Goa; see also Discussion). As described previously (Desgranges et al., 1998Goa), the influence of age was controlled by setting age as a confounding variable in all these linear regressions.


    Results
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Story Recall
Whole group
The mean Story Recall scores ± standard deviation were 2.44 ± 1.34 and 6.2 ± 2.1 for the Alzheimer’s disease and control groups, respectively (P < 0.001). In the Alzheimer’s disease group, there was marked interindividual variability (range 0.5–6.5).

Less severe subgroup
The mean MMSE score ± standard deviation was 23.8 ± 1.9 and the mean Story Recall score was 3.2 ± 1.3 (Table 1), which were significantly different from corresponding scores for controls (P < 0.001). Eight out of 20 patients obtained a Story Recall score below the lower confidence limit of controls (i.e. 2.7, P < 0.05, one-tailed).

More severe subgroup
The mean MMSE score was 18.8 ± 2 and the mean Story Recall score was 1.7 ± 0.8, which were significantly different from control scores (P < 0.001).

Correlations between Story Recall scores and nCMRGlc
Whole group
Significant (P < 0.05, corrected for cluster level) correlations were extensive and concerned principally the hippocampal region (Fig. 1A), the posterior cingulate cortex and the precuneus, in a bilateral and strikingly symmetrical manner, but also the temporal and occipital association cortical areas with strong right-sided predominance, as well as the cerebellum (Fig. 2, top row). Data from the peak printout produced by the SPM software are shown in Table 2.



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Fig. 1 Plots of nCMRGlc values against Story Recall performance (partial correlations controlling for age). (A) Values for the hippocampal region (peak coordinates x, y, z = 20, –39, –3) for the whole sample (40 patients; r = 0.61, P < 0.001). (B) Values for the right perirhinal cortex (peak coordinates x, y, z = 18, –37, –2) for the less severe subgroup (20 patients; r = 0.69, P = 0.001). (C) Values for the left fusiform gyrus (peak coordinates x, y, z = –57, –15, –23) for the more severe subgroup (20 patients; r = 0.80, P < 0.001).

 

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Table 2 Significant (P < 0.05, corrected for cluster level, from SPM maps thresholded at Z > 3.09) correlations between scores in the Story Recall test and nCMRGlc for the whole group (n = 40)
 
Less severe subgroup
Significant correlations were located exclusively in the right perirhinal/parahippocampal, entorhinal and retrosplenial cortices (Table 3, Fig. 1B and Fig. 2, middle row).


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Table 3 Significant (P < 0.005, uncorrected) correlations between scores in the Story Recall test and nCMRGlc for the less severe subgroup (n = 20)
 
More severe subgroup
Significant correlations were more widely distributed and concerned only left-sided neocortical regions [fusiform gyrus (Fig. 1C), superior, middle and inferior temporal gyri, cuneus and inferior parietal lobule] (Table 4 and Fig. 2, bottom row).


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Table 4 Significant (P < 0.005, uncorrected) correlations between scores in the Story Recall test and nCMRGlc for the more severe subgroup (n = 20)
 

    Discussion
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 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
This is the first study to show that the sites of significant correlations between memory scores and resting metabolism vary according to the severity of cognitive impairment, suggesting that in Alzheimer’s disease the brain areas that subserve residual episodic memory shift from the limbic to the neocortical association structures with increasing impairment. In other words, with respect to Story Recall, patients in the less severe subgroup rely on brain areas that normally subserve episodic memory processes, whereas patients in the more severe subgroup would bring into play other structures, such as those normally involved in semantic memory, yet still produce a lower performance in this test.

This study was carried out in a group of Alzheimer’s disease patients whose clinical and metabolic features were quite typical. Thus, as expected (Butters et al., 1995Go; Hodges et al., 1995Go; Desgranges et al., 1996Go), there was a significant decline in Story Recall in the group of Alzheimer’s disease patients, with marked intersubject variability. The correlations observed in the whole group involved principally the limbic structures, namely the hippocampal regions (including the rhinal cortices) and the bilateral posterior cingulate and retrosplenial cortices, consistent with our previous study (Desgranges et al., 1998Goa), though here with bilateral extension. Our finding of correlations that were more strongly significant and more extensively distributed than those in our previous study is presumably due to the 2-fold larger sample used here. Previously, significant correlations between Story Recall and hippocampal integrity, as assessed by structural MRI, have been observed in Alzheimer’s disease patients (e.g. Deweer et al, 1995Go; de Toledo-Morrell et al., 2000Go), as well as in patients with temporal lobe epilepsy (Abrahams et al., 1997Go; Martin et al., 1999Go) and combat veterans (Bremner, 1999Go).

Other, less expected, correlations concerned the cerebellum and the association cortical areas, with right-sided predominance (note that, at the P < 0.01 threshold, the latter correlations were bilateral; data not shown). The correlations with the cerebellum and the right superior and middle temporal cortex are similar to our previous findings with the Word Learning test, which also evaluates verbal episodic memory (for detailed discussion of these foci, see Desgranges et al., 1998Goa). To explain these findings, we proposed in that article that they might represent compensatory mechanisms. Although we cannot exclude the possibility of false positives, the same hypothesis will explain the similarly unexpected correlations found here with Story Recall, especially the correlations with the right fusiform gyrus, the left lingual gyrus and the right inferior temporal gyrus.

In the present study, to test this hypothesis, we assessed whether the sites of the significant correlations varied with disease severity. For the two subgroups, we used an uncorrected threshold of P < 0.005, which may not protect fully against results due to chance but would seem to be more suitable for clinical research with relatively small samples of patients. Furthermore, all the observed correlations were in the positive direction, which might be expected neurobiologically (i.e. any decline in cognitive performance was predicted to relate to a fall rather than an increase in CMRGlc), and this strengthens their statistical validity. Furthermore, in both subgroups, the peak with the most significant correlation, located in the right parahippocampal and left fusiform gyri, respectively, survived the more stringent level of P < 0.001 (Fig. 1B and C), supporting the overall robustness of our findings.

The findings of this study strongly support our working hypothesis. Thus, in the less severe subgroup, the significant correlations were located exclusively in the parahippocampal gyrus (entorhinal, perirhinal and parahippocampal cortices) and retrosplenial cortex. The former is the first to be affected by changes in tau in Alzheimer’s disease (Delacourte et al., 1999Go) and is known to be involved both in normal memory function (Gabrieli et al., 1997Go; Tulving and Markowitsch, 1997Go; Lepage et al., 1998Go) and in amnesia (Buffalo et al., 1998Go), whereas the latter—also a paralimbic region—is now known to be strongly implicated in episodic memory (Valenstein et al., 1987Go; Wiggs et al., 1999Go). Although, at the statistical cut-off value chosen, all these correlations were right-sided, which may appear surprising for a verbal test, at the P < 0.05 level there were also significant correlations in the left hippocampal region (data not shown).

By contrast, the correlations obtained in the more severe subgroup were clearly shifted away from the limbic/paralimbic network and involved exclusively the left (essentially temporal) association neocortices. One could argue that the lack of correlation with the medial temporal lobe might be due to the fact that there was not enough tissue to allow meaningful glucose uptake. However, we have evidence that this is not the case. In fact, in all SPM analyses in this study, only those voxels with values >40% of the mean for the whole brain were retained, and the medial temporal lobe was not excluded by this procedure (Fig. 2). Accordingly, the plot of the actual values for the hippocampal region for the whole sample clearly shows substantial glucose uptake in this region for each patient (Fig. 1A).

In this study, we were interested in studying the relationships between disease severity and memory–CMRGlc correlations. However, the MMSE score reflects the degree of global cognitive deterioration but is heavily weighted by episodic memory. We therefore wondered what would be the result if our Alzheimer’s disease sample were split according to their Story Recall score itself, which reflects the degree of verbal episodic memory deterioration. However, the results of this post hoc analysis were very similar to those obtained when the sample was split according to their MMSE scores. Thus, in the subgroup of best performers (15 patients in this subgroup also belonged to the less severe subgroup), the only significant cluster at P < 0.005 was located in the right perirhinal and retrosplenial cortices, whereas for the worst performers (15 of whom also belonged to the more severe subgroup) the correlations concerned principally the left neocortical areas (data not shown).

Our findings suggest that, in the early stages of Alzheimer’s disease, hippocampal region function is impaired but is still sufficient to subserve the remaining episodic memory performance, whereas later on, as the burden of the lesions progresses, this region might become progressively inadequate, so that the association neocortical areas are recruited, constituting a compensation mechanism. Although these areas are classically considered to be of little importance in episodic memory and damage to them does not usually result in a full-blown amnesic syndrome, our interpretation fits with three pieces of evidence. First, these areas are part of the large neuronal network that is activated in young, healthy subjects during episodic encoding and retrieval (for reviews see Desgranges et al., 1998Gob; Cabeza and Nyberg, 2000Go). Secondly, the left parietotemporal cortex is thought to be involved in memory compensation processes in Alzheimer’s disease according to some activation studies (Becker et al., 1996Go; Stern et al., 2000Go). Thirdly, the regions whose metabolism was correlated to verbal memory scores in our study, all of which are located in the left cerebral hemisphere, are known to be involved in semantic memory, as indicated by both neuropsychological data (Coughlan and Warrington, 1978Go; Hodges et al., 1992Go; Hodges and Patterson, 1996Go) and activation studies in healthy subjects (Mummery et al., 1999Go; Cabeza and Nyberg, 2000Go). Likewise, in Alzheimer’s disease, semantic memory impairments correlate with resting perfusion and metabolism of the left association neocortices (Perani et al., 1993Go; Penniello et al., 1995Go; Slansky et al., 1995Go; Grossman et al., 1997Go; Desgranges et al., 1998Goa; Hirono et al., 2001Go). The idea that brain structures that are normally devoted to semantic memory may be involved at least partially in an episodic memory task is also consistent with reports of patients being able to achieve normal performance in a typical episodic memory test despite impaired autonoetic consciousness, which suggests the contribution of processes that must be semantic in some way (Wheeler et al., 1997Go; Levine et al., 1998Go). However, recourse to these regions obviously does not result in episodic performance that is as good as that obtained when the limbic system can still be used.

From a more theoretical standpoint, our findings support Tulving’s hierarchical model (Tulving, 1995Go), which contends that episodic memory, the most sophisticated of all memory systems, should be particularly vulnerable to neurodegenerative processes, whereas semantic memory should be more resistant, at least at the early stages of the disease. Thus, in the more severe subgroup, productions would be driven by components of semantic knowledge linked to any single element of the story (e.g. the item ‘car’, given by the examiner as a cue whenever the patient fails to respond, may activate other representations, such as ‘engine failure’ or ‘garage’, that are also included in the script). In such cases, the patient’s performance would depend, at least partially, on brain areas involved in the storage of semanticized knowledge.

Overall, our results confirm the prominent part taken by hippocampal and parahippocampal damage in the pathogenesis of memory impairment in mild Alzheimer’s disease. They also suggest further insights into potentially compensatory mechanisms that would come into operation when the most impaired patients are faced with a verbal episodic memory task. Though logistically impractical, longitudinal cohort studies assessing the actual displacement of correlations over time as performance declines would be of considerable interest.


    Acknowledgements
 
We wish to thank S. Schaeffer, F. Le Doze, V. Beaudouin, B. Landeau, G. Chételat, M.-H. Noël, G. Perchey, M.-C. Onfroy and P. Conejeno for help with this project.


    References
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Abrahams S, Pickering A, Polkey CE, Morris RG. Spatial memory deficits in patients with unilateral damage to the right hippocampal formation. Neuropsychologia 1997; 35: 11–24.[Web of Science][Medline]

Bäckman L, Andersson JL, Nyberg L, Winblad B, Nordberg A, Almkvist O. Brain regions associated with episodic retrieval in normal aging and Alzheimer’s disease. Neurology 1999; 52: 1861–70.[Abstract/Free Full Text]

Baron J-C, Chételat G, Perchey G, Poline J-B, Landeau B, Desgranges B, et al. Does resting glucose hypometabolism exceed gray matter atrophy in early Alzheimer’s disease (AD)? A voxel-based comparison of structural and functional imaging data. Neuroimage 2001;13: S771.

Becker JT, Mintun MA, Aleva K, Wiseman MB, Nichols T, DeKosky ST. Compensatory reallocation of brain resources supporting verbal episodic memory in Alzheimer’s disease. Neurology 1996; 46: 692–700.[Free Full Text]

Bokde AL, Pietrini P, Ibanez V, Furey ML, Alexander GE, Graff-Radford NR, et al. The effect of brain atrophy on cerebral hypometabolism in the visual variant of Alzheimer disease. Arch Neurol 2001; 58: 480–6.[Abstract/Free Full Text]

Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. [Review]. Acta Neuropathol (Berl) 1991; 82: 239–59.[Medline]

Bremner JD. Does stress damage the brain? [Review]. Biol Psychiatry 1999; 45: 797–805.[Web of Science][Medline]

Buffalo EA, Reber PJ, Squire LR. The human perirhinal cortex and recognition memory. Hippocampus 1998; 8: 330–9.[Web of Science][Medline]

Butters N, Delis DC, Lucas JA. Clinical assessment of memory disorders in amnesia and dementia. [Review]. Annu Rev Psychol 1995; 46: 493–523.[Web of Science][Medline]

Cabeza R, Nyberg L. Imaging cognition II: an empirical review of 275 PET and fMRI studies. [Review]. J Cogn Neurosci 2000; 12: 1–47.[Web of Science][Medline]

Coughlan AK, Warrington EK. Word-comprehension and word-retrieval in patients with localized cerebral lesions. Brain 1978; 101: 163–85.[Free Full Text]

Delacourte A, David J-P, Sergeant N, Buée L, Wattez A, Vermersch P, et al. The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer’s disease. Neurology 1999; 52: 1158–65.[Abstract/Free Full Text]

Desgranges B, Eustache F, Rioux P, de la Sayette V, Lechevalier B. Memory disorders in Alzheimer’s disease and the organization of human memory. Cortex 1996; 32: 387–412.[Web of Science][Medline]

Desgranges B, Baron J-C, de la Sayette V, Petit-Taboué M-C, Benali K, Landeau B, et al. The neural substrates of memory systems impairment in Alzheimer’s disease: a PET study of resting brain glucose utilization. Brain 1998a; 121: 611–31.[Abstract/Free Full Text]

Desgranges B, Baron J-C, Eustache F. The functional neuroanatomy of episodic memory: the role of the frontal lobes, the hippocampal formation, and other areas. [Review]. Neuroimage 1998b; 8: 198–213.[Web of Science][Medline]

de Toledo-Morrell L, Dickerson B, Sullivan MP, Spanovic C, Wilson R, Bennett DA. Hemispheric differences in hippocampal volume predict verbal and spatial memory performance in patients with Alzheimer’s disease. Hippocampus 2000; 10: 136–42.[Web of Science][Medline]

Deweer B, Lehericy S, Pillon B, Baulac M, Chiras J, Marsault C, et al. Memory disorders in probable Alzheimer’s disease: the role of hippocampal atrophy as shown with MRI. J Neurol Neurosurg Psychiatry 1995; 58: 590–7.[Abstract/Free Full Text]

Eustache F, Desgranges B, Giffard B, de la Sayette V, Baron J-C. Entorhinal cortex disruption causes memory deficit in early Alzheimer’s disease as shown by PET. Neuroreport 2001; 12: 683–5.[Web of Science][Medline]

Friston KJ, Ashburner J, Frith CD, Poline J-B, Heather JD, Frackowiak RSJ. Spatial registration and normalization of images. Hum Brain Mapp 1995; 3: 165–89.

Gabrieli JD, Brewer JB, Desmond JE, Glover GH. Separate neural bases of two fundamental memory processes in the human medial temporal lobe. Science 1997; 276: 264–6.[Abstract/Free Full Text]

Gainotti G, Marra C, Villa G, Parlato V, Chiarotti F. Sensitivity and specificity of some neuropsychological markers of Alzheimer dementia. Alzheimer Dis Assoc Disord 1998; 12: 152–62.[Web of Science][Medline]

Grasby PM, Frith CD, Friston KJ, Bench C, Frackowiak RSJ, Dolan RJ. Functional mapping of brain areas implicated in auditory–verbal memory function. Brain 1993; 116: 1–20.[Abstract/Free Full Text]

Grossman M, Payer F, Onishi K, White-Devine T, Morrison D, D’Esposito M, et al. Constraints on the cerebral basis for semantic processing from neuroimaging studies of Alzheimer’s disease. J Neurol Neurosurg Psychiatry 1997; 63: 152–8.[Abstract/Free Full Text]

Herbster AN, Nichols T, Wiseman MB, Mintun MA, DeKosky ST, Becker JT. Functional connectivity in auditory–verbal short-term memory in Alzheimer’s disease. Neuroimage 1996; 4: 67–77.[Web of Science][Medline]

Hirono N, Mori E, Ishii K, Imamura T, Tanimukai S, Kazui H, et al. Neuronal substrates for semantic memory: a positron emission tomography study in Alzheimer’s disease. Dement Geriatr Cogn Disord 2001; 12: 15–21.[Web of Science][Medline]

Hodges JR, Patterson K. Is semantic memory consistently impaired early in the course of Alzheimer’s disease? Neuroanatomical and diagnostic implications. Neuropsychologia 1995; 33: 441–59.[Web of Science][Medline]

Hodges JR, Patterson K. Nonfluent progressive aphasia and semantic dementia: a comparative neuropsychological study. J Int Neuropsychol Soc 1996; 2: 511–24.[Medline]

Hodges JR, Patterson K, Oxbury S, Funnell E. Semantic dementia. Progressive fluent aphasia with temporal lobe atrophy. Brain 1992; 115: 1783–806.[Abstract/Free Full Text]

Ibanez V, Pietrini P, Alexander GE, Furey ML, Teichberg D, Rajapakse JC, et al. Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer’s disease. Neurology 1998; 50: 1585–93.[Abstract]

Kennedy AM, Frackowiak RSJ, Newman SK, Bloomfield PM, Seaward J, Roques P, et al. Deficits in cerebral glucose metabolism demonstrated by positron emission tomography in individuals at risk of familial Alzheimer’s disease. Neurosci Lett 1995; 186: 17–20.[Web of Science][Medline]

Lepage M, Habib R, Tulving E. Hippocampal PET activations of memory encoding and retrieval: the HIPER model. Hippocampus 1998; 8: 313–22.[Web of Science][Medline]

Levine B, Black SE, Cabeza R, Sinden M, McIntosh AR, Toth JP, et al. Episodic memory and the self in a case of isolated retrograde amnesia. Brain 1998; 121: 1951–73.[Abstract/Free Full Text]

Martin RC, Hugg JW, Roth DL, Bilir E, Gilliam FG, Faught E, et al. MRI extrahippocampal volumes and visual memory: correlations independent of MRI hippocampal volumes in temporal lobe epilepsy patients. J Int Neuropsychol Soc 1999; 5: 540–8.[Web of Science][Medline]

McCulloch JM. Mapping functional alterations in the CNS with 14C-deoxyglucose. In: Iversen LL, Snyder SH, editors. Handbook of psychopharmacology. New York: Plenum Press; 1982. p. 321–40.

McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984; 34: 939–44.[Abstract/Free Full Text]

Mummery CJ, Patterson K, Wise RJ, Vandenbergh R, Price CJ, Hodges JR. Disrupted temporal lobe connections in semantic dementia. Brain 1999; 122: 61–73.[Abstract/Free Full Text]

Nyberg L, McIntosh AR, Houle S, Nilsson LG, Tulving E. Activation of medial temporal structures during episodic memory retrieval. Nature 1996; 380: 715–17.[Medline]

O’Brien JT, Eagger S, Syed GM, Sahakian BJ, Levy R. A study of regional cerebral blood flow and cognitive performance in Alzheimer’s disease. J Neurol Neurosurg Psychiatry 1992; 55: 1182–7.[Abstract/Free Full Text]

Penniello M-J, Lambert J, Eustache F, Petit-Taboué M-C, Barré L, Viader F, et al. A PET study of the functional neuroanatomy of writing impairment in Alzheimer’s disease. The role of the left supramarginal and left angular gyri. Brain 1995; 118: 697–706.[Abstract/Free Full Text]

Perani D, Bressi S, Cappa SF, Vallar G, Alberoni M, Grassi F, et al. Evidence of multiple memory systems in the human brain. A [18F]FDG PET metabolic study. Brain 1993; 116: 903–19.[Abstract/Free Full Text]

Phelps ME, Huang SC, Hoffman EJ, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of local cerebral glucose metabolic rate in humans with (F-18) 2-fluoro-2-deoxy-D-glucose: validation of method. Ann Neurol 1979; 6: 371–88.[Web of Science][Medline]

Reiman EM, Caselli RJ, Yun LS, Chen K, Bandy D, Minoshima S, et al. Preclinical evidence of Alzheimer’s disease in persons homozygous for the epsilon 4 allele for apolipoprotein E. New Engl J Med 1996; 334: 752–8.[Abstract/Free Full Text]

Rombouts SA, Barkhof F, Veltman DJ, Machielsen WC, Witter MP, Bierlaagh MA, et al. Functional MR imaging in Alzheimer’s disease during memory encoding. AJNR Am J Neuroradiol 2000; 21: 1869–75.[Abstract/Free Full Text]

Signoret J-L. Batterie d’efficience mnésique. Paris: Fondation IPSEN; Amsterdam: Elsevier 1991.

Slansky I, Herholz K, Pietrzyk U, Kessler J, Grond M, Mielke R, et al. Cognitive impairment in Alzheimer’s disease correlates with ventricular width and atrophy-corrected cortical glucose metabolism. Neuroradiology 1995; 37: 270–7.

Small GW, Ercoli LM, Silverman DH, Huang SC, Komo S, Bookheimer SY, et al. Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease. Proc Natl Acad Sci USA 2000; 97: 6037–42.[Abstract/Free Full Text]

Stern Y, Moeller JR, Anderson KE, Luber B, Zubin NR, DiMauro AA, et al. Different brain networks mediate task performance in normal aging and AD. Defining compensation. Neurology 2000; 55: 1291–7.[Abstract/Free Full Text]

Talairach J, Tournoux P. Co-planar stereotaxic atlas of human brain. 3-Dimensional proportional system: an approach to cerebral imaging. Stuttgart, New York: Thieme Medical Publishers, 1988.

Tulving E. Organization of memory: Quo vadis? In: Gazzaniga MS, editor. The cognitive neurosciences. Cambridge (MA): MIT Press; 1995. p. 839–47.

Tulving E, Markowitsch HJ. Memory beyond the hippocampus. [Review]. Curr Opin Neurobiol 1997; 7: 209–16.

Valenstein E, Bowers D, Verfaellie M, Heilman KM, Day A, Watson RT. Retrosplenial amnesia. Brain 1987; 110: 1631–46.[Abstract/Free Full Text]

Wheeler MA, Stuss DT, Tulving E. Toward a theory of episodic memory: the frontal lobes and autonoetic consciousness. [Review]. Psychol Bull 1997; 121: 331–54.[Web of Science][Medline]

Wiggs CL, Weisberg J, Martin A. Neural correlates of semantic and episodic memory retrieval. Neuropsychologia 1999; 37: 103–18.[Web of Science][Medline]


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