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Regional cerebral blood flow correlates of visuospatial tasks in Alzheimer's disease

Published online by Cambridge University Press:  27 October 2008

WILLIAM J. TIPPETT  and
SANDRA E. BLACK
WILLIAM J. TIPPETT*
Affiliation:
L.C. Campbell Cognitive Neurology Research Unit, Toronto, Ontario, Canada Heart and Stroke Foundation Centre for Stroke Recovery, Toronto, Ontario, Canada Sunnybrook Health Sciences Centre Toronto, Ontario, Canada
SANDRA E. BLACK
Affiliation:
L.C. Campbell Cognitive Neurology Research Unit, Toronto, Ontario, Canada Heart and Stroke Foundation Centre for Stroke Recovery, Toronto, Ontario, Canada Sunnybrook Health Sciences Centre Toronto, Ontario, Canada Division of Neurology, Department of Medicine, Toronto, Ontario, Canada University of Toronto, Toronto, Ontario, Canada
*
Correspondence and reprint requests to: B.J. Tippett, Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Room A419, Toronto, Ontario M4N 3M5, Canada. E-mail: bj.tippett@sunnybrook.ca
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Abstract

This study investigated the role of visuospatial tasks in identifying cognitive decline in patients with Alzheimer's disease (AD), by correlating neuropsychological performance with cerebral perfusion measures. There were 157 participants: 29 neurologically healthy controls (age: 70.3 ± 6.6, MMSE ≥ 27), 86 patients with mild AD (age: 69.18 ± 8.28, MMSE ≥ 21) and 42 patients moderate/severe AD (age: 68.86 ± 10.69, MMSE 8–20). Single Photon Emission Computerized Tomography (SPECT) was used to derive regional perfusion ratios, and correlated using partial least squares (PLS) with neuropsychological test scores from the Benton Line Orientation (BLO) and the Rey-Osterrieth Complex Figure (RO). Cross-sectional analysis demonstrated that mean scores differed in accordance with disease status: control group (BLO 25.5, RO 33.3); mild AD (BLO 20.1, RO 25.5); moderate/severe AD (BLO 10.7, RO 16). Correlations were observed between BLO/RO and right parietal SPECT regions in the AD groups. Visuospatial performance, often undersampled in cognitive batteries for AD, is clearly impaired even in mild AD and correlates with functional deficits as indexed by cerebral perfusion ratios on SPECT implicating right hemisphere circuits. Furthermore, PLS reveals that usual spatial tasks probe a distributed brain network in both hemispheres including many areas targeted by early AD pathology. (JINS, 2008, 14, 1034–1045.)

Keywords

Cerebral perfusionPartial least squaresSPECTPathologyNeuropsychologyParietal lobe

Information

Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 14 , Issue 6 , November 2008 , pp. 1034 - 1045
Copyright
Copyright © The International Neuropsychological Society 2008

INTRODUCTION

Although progressive memory and imaging deficits have been the predominant focus in both clinical and clinical trial assessments in Alzheimer's disease (AD; Loewenstein et al., Reference Loewenstein, Acevedo, Ownby, Agron, Barker, Isaacson, Isaacson, Strauman and Duara2006; Mandzia et al., Reference Mandzia, Black, Grady, McAndrews and Graham2002; Mohs & Cohen, Reference Mohs and Cohen1988; Salmon et al., Reference Salmon, Lekeu, Bastin, Garraux and Collette2008), other cognitive deficits may assist in the detection and characterization of patients with AD. Research suggests that the parietal lobe, more specifically the posterior parietal cortex, is essential for directing ongoing movements (Buneo & Andersen, Reference Buneo and Andersen2006) as well as for conducting visually-guided reaching and grasping activities (Goodale, Reference Goodale1993). Historically, parietal deficits have been linked to disruptions in visuomotor planning and movement (Andersen & Buneo, Reference Andersen and Buneo2003; Snyder et al., Reference Snyder, Batista and Andersen1997), such as updating the spatial location of targets (Buneo & Andersen, Reference Buneo and Andersen2006; Snyder et al., Reference Snyder, Batista and Andersen1997) and programming coordinated arm and eye movements (Duhamel et al., Reference Duhamel, Colby and Goldberg1992; Grea et al., Reference Grea, Pisella, Rossetti, Desmurget, Tilikete, Grafton, Prablanc and Vighetto2002; Oyachi & Ohtsuka, Reference Oyachi and Ohtsuka1995). Visuospatial and visuomotor ability are typically under-used in cognitive batteries for AD but have the potential to assist in diagnosing and monitoring of AD (Ghilardi et al., Reference Ghilardi, Alberoni, Marelli, Rossi, Franceschi, Ghez and Fazio1999; Tippett & Sergio, Reference Tippett and Sergio2006). The parietal region is an area known to be vulnerable to AD pathology as it progresses from the limbic to the neocortical stage (Braak & Braak, Reference Braak and Braak1991) and dysfunction in this region correlates with several visuomotor difficulties (Andersen & Buneo, Reference Andersen and Buneo2003; Braak & Braak, Reference Braak and Braak1991; Buneo et al., Reference Buneo, Jarvis, Batista and Andersen2002; Nagahama et al., Reference Nagahama, Nabatame, Okina, Yamauchi, Narita, Fujimoto, Murakami, Fukuyama and Matsuda2003).

Positron Emission Tomography (PET) and Single Positron Emission Computed Tomography (SPECT) are functional imaging techniques that can produce three dimensional maps of resting state brain activity based on glucose metabolism or blood flow, which can be helpful in inferring the presence of AD pathology (Alexander et al., Reference Alexander, Chen, Pietrini, Rapoport and Reiman2002; Buchert et al., Reference Buchert, Wilke, Chakrabarti, Martin, Brenner, Mester and Clausen2005; Cutler, Reference Cutler1988; Ishii et al., Reference Ishii, Kono, Sasaki, Miyamoto, Fukuda, Sakamoto, Sakamoto and Mori2006; McGeer et al., Reference McGeer, Kamo, Harrop, McGeer, Martin, Pate and Li1986; Silverman et al., Reference Silverman, Small, Chang, Lu, Kung De Aburto, Chen, Czernin, Rapoport, Pietrini, Alexander, Schapiro, Jagust, Hoffman, Welsh-Bohmer, Alavi, Clark, Salmon, de Leon, Mielke, Cummings, Kowell, Gambhir, Hoh and Phelps2001; Silverman, Reference Silverman2004; von Broczyskowski et al., Reference von Broczyskowski, Wilke, Martin, Brenner, Clausen, Mester and Buchert2006)

Psychophysical research has demonstrated that reductions in visuomotor ability attributed to parietal dysfunction may be useful in detecting not only the presence of AD, but also in tracking its progression (Elble & Leffler, Reference Elble and Leffler2000; Ghilardi et al., Reference Ghilardi, Alberoni, Marelli, Rossi, Franceschi, Ghez and Fazio1999; Kluger et al., Reference Kluger, Gianutsos, Golomb, Ferris, George, Franssen and Reisberg1997; Ott et al., Reference Ott, Ellias and Lannon1995; Tippett & Sergio, Reference Tippett and Sergio2006). Decline in perfusion rates within regions such as the parietal lobe, can occur in the early stages of AD.

Finding sensitive, valid noninvasive procedures to detect early AD has become a major goal of AD research. To index disease, functional deficits on neuropsychological tests should correlate with regional dysfunction on neuroimaging (Nobili et al., Reference Nobili, Brugnolo, Calvini, Copello, De Leo, Girtler, Morbelli, Piccardo, Vitali and Rodriguez2005). SPECT has been widely used to identify regional cerebral perfusion deficits indicating the presence of AD and other dementias (Bonte et al., Reference Bonte, Harris, Roney and Hynan2004; Mito et al., Reference Mito, Yoshida, Yabe, Makino, Hirotani, Tashiro, Kikuchi and Sasaki2005) because it is relatively inexpensive and more widely available compared with PET, though it has lower sensitivity and spatial resolution (Bartenstein et al., Reference Bartenstein, Minoshima, Hirsch, Buch, Willoch, Mosch, Schad, Schwaiger and Kurz1997; Desgranges et al., Reference Desgranges, Baron, de la Sayette, Petit-Taboue, Benali, Landeau, Lechevalier and Eustache1998; Elgh et al., Reference Elgh, Sundstrom, Nasman, Ahlstrom and Nyberg2002; Lampl et al., Reference Lampl, Sadeh, Laker and Lorberboym2003; Meguro et al., Reference Meguro, Shimada, Someya, Horikawa and Yamadori2001; Yamaguchi et al., Reference Yamaguchi, Meguro, Itoh, Hayasaka, Shimada, Yamazaki and Yamadori1997).

Traditionally, the focus for examining brain-behavior relationships in AD has been in relation to memory or language performance. Previous in vivo research designs examining pathological decline in relation to cognitive dysfunction, such as memory and language impairments, however, have demonstrated some shortcomings. For example, severity of the illness is often not controlled for, and this can be problematic because cognitive scores and perfusion ratios can vary with disease stage (Kogure et al., Reference Kogure, Matsuda, Ohnishi, Asada, Uno, Kunihiro, Nakano and Takasaki2000; Matsuda et al., Reference Matsuda, Kitayama, Ohnishi, Asada, Nakano, Sakamoto, Imabayashi and Katoh2002; Nobili et al., Reference Nobili, Brugnolo, Calvini, Copello, De Leo, Girtler, Morbelli, Piccardo, Vitali and Rodriguez2005). Most studies have focused on anatomical regions associated with memory/language tasks using a region of interest approach; for example, correlations have been sought between the perfusion ratios in a single region, such as the medial temporal lobe with exclusion of other cerebral areas (Lampl et al., Reference Lampl, Sadeh, Laker and Lorberboym2003; Nobili et al., Reference Nobili, Vitali, Calvini, Bollati, Girtler, Delmonte, Mariani and Rodriguez2001; Rodriguez et al., Reference Rodriguez, Morbelli, Brugnolo, Calvini, Girtler, Piccardo, Dougall, Ebmeier, Baron and Nobili2005). This exclusionary approach, although logical in design as it seeks specific functional correlations, does not probe involvement of other regions, limiting insight into brain connectivity. The relationship between regional blood flow and cognitive performance in individuals with AD particularly for visuospatial and visuomotor performance has not been adequately evaluated, being limited by absence of control groups or small sample sizes (Arbizu et al., Reference Arbizu, Larumbe, Gamez, Marti, Martinez-Lage and Richter1999; Moren et al., Reference Moren, Davis, Brinkman and Dean2005; Nobili et al., Reference Nobili, Vitali, Calvini, Bollati, Girtler, Delmonte, Mariani and Rodriguez2001, Reference Nobili, Brugnolo, Calvini, Copello, De Leo, Girtler, Morbelli, Piccardo, Vitali and Rodriguez2005; Starkstein et al., Reference Starkstein, Sabe, Vazquez, Teson, Petracca, Chemerinski, Di Lorenzo and Leiguarda1996).

Standardized Visuospatial Tasks

Neuropsychological testing procedures are often used as an index of AD pathology. The current study evaluated two different visuospatial testing procedures in correlation with standardized SPECT data. The two visuospatial tasks selected were: Benton Judgement of Line Orientation (BLO) task and the Rey-Osterrieth complex figure test (RO). BLO is considered to probe “pure” visuospatial ability as it has no visuoconstructive requirements (Benton, Reference Benton1994). This task has been shown to correlate primarily with right parietal lobe damage (Benton, Reference Benton1994; Kolb & Wishaw, Reference Kolb and Wishaw1996) and activation (Herrmann et al., Reference Herrmann, Ehlis, Wagener, Jacob and Fallgatter2005). Successful completion of the Rey-Osterrieth copying task is thought to engage a parietal-frontal network (Kang et al., Reference Kang, Kwon, Kim, Youn, Park, Kim, Lee and Lee2003) related to both spatial analysis and frontal executive processes (Sowell et al., Reference Sowell, Delis, Stiles and Jernigan2001; Temple et al., Reference Temple, Davis, Silverman and Tremont2006) as well as temporal regions mediating visual memory (Beebe et al., Reference Beebe, Ris, Brown and Dietrich2004; Kasai et al., Reference Kasai, Meguro, Hashimoto, Ishizaki, Yamadori and Mori2006; Stern & Stern, Reference Stern and Stern1985; Watanabe et al., Reference Watanabe, Ogino, Nakano, Hattori, Kado, Sanada and Ohtsuka2005).

Imaging Correlates of Visuospatial Tasks

One previous study in AD patients showed a correlation between shifts in attention to spatial locations and superior right parietal hypoperfusion on SPECT (Buck et al., Reference Buck, Black, Behrmann, Caldwell and Bronskill1997). As well, functional studies have suggested that recruitment of ventral visual pathway can be used to support visuospatial processing (Prvulovic et al., Reference Prvulovic, Hubl, Sack, Melillo, Maurer, Frolich, Lanfermann, Zanella, Goebel, Linden and Dierks2002).

There have been limited functional imaging studies in reference to our chosen visuospatial measures. What has been observed is that BLO performance correlates with increased blood flow (33Xe inhalation rCBF) bilaterally within the posterior brain regions (Hannay et al., Reference Hannay, Falgout, Leli, Katholi, Halsey and Wills1987). Functional MRI (fMRI) research has shown that bilateral superior parietal lobe activation can be observed on a modified BLO task with a more dominant role attributed to the right parietal region. Rey-Osterrieth Complex Figure as a visuospatial task has shown a positive correlation to reduced visuospatial performance in relation to the presence of AD (Larumbe, Reference Larumbe1997; Tei et al., Reference Tei, Miyazaki, Iwata, Osawa, Nagata and Maruyama1997) as well as having a discriminating ability for the presence of early stage AD (Fujimori et al., Reference Fujimori, Imamura, Yamashita, Hirono, Ikejiri, Shimomura and Mori1998). Reductions in grey matter in the inferior temporal gyrus correlated with reductions in RO performance (Boxer et al., Reference Boxer, Kramer, Du, Schuff, Weiner, Miller and Rosen2003a).

In addition, lesion data showed that parietal damage to either side is associated with deficits in task performance on BLO but more severe deficits are seen with right-sided damage (Ng et al., Reference Ng, Eslinger, Williams, Brammer, Bullmore, Andrew, Suckling, Morris and Benton2000). Researchers very early on had linked deficits in generating effective visuospatial responses (e.g., manual tacking tasks, line bisection) to focal damage within the posterior right hemisphere (Bisiach et al., Reference Bisiach, Vallar, Perani, Papagno and Berti1986; Levin & Benton, Reference Levin and Benton1976).

SPECT and PET studies that have shown topographically characteristic reductions in blood flow particularly in the temporal and parietal regions can occur as a result of AD pathology (Foster et al., Reference Foster, Chase, Fedio, Patronas, Brooks and Di Chiro1983, Reference Foster, Chase, Mansi, Brooks, Fedio, Patronas and Di Chiro1984; Hirao et al., Reference Hirao, Ohnishi, Hirata, Yamashita, Mori, Moriguchi, Matsuda, Nemoto, Imabayashi, Yamada, Iwamoto, Arima and Asada2005; Jagust et al., Reference Jagust, Eberling, Reed, Mathis and Budinger1997). Hence, impaired BLO performance would be expected.

To ensure a complete evaluation, both a top-down Regions of Interest (ROIs) approach and bottom-up Partial Least Squares (PLS) analysis were performed. The ROI procedure was used to examine critical areas for visuospatial/visuomotor production, that is, the parietal areas, which as previously noted, are essential for conducting these transformations (Boxer et al., Reference Boxer, Rankin, Miller, Schuff, Weiner, Gorno-Tempini and Rosen2003b; Chung et al., Reference Chung, Jeong, Hwa, Kim, Moon, Heilman and Na2005; Nobili et al., Reference Nobili, Brugnolo, Calvini, Copello, De Leo, Girtler, Morbelli, Piccardo, Vitali and Rodriguez2005; Rodriguez et al., Reference Rodriguez, Morbelli, Brugnolo, Calvini, Girtler, Piccardo, Dougall, Ebmeier, Baron and Nobili2005; Tippett & Sergio, Reference Tippett and Sergio2006). In addition, temporal (as noted above) and frontal regions were also evaluated to control for performance reductions which may be a result of overall dementia-related degeneration. However, specific correlation of visuospatial and visuomotor test performance with perfusion ratios on SPECT in the parietal regions in age matched controls and mild and moderate AD was the primary focus of the investigation. Furthermore, the bottom-up approach of the PLS analysis was included to address the issue of specificity, without prior hypothesis. The combined top-down and bottom-up assessment allowed both a hypothesis-driven and unbiased analysis of the brain-behavior relationships for visuomotor/visuospatial function in AD.

METHODS

Participants

Subjects were part of the Sunnybrook Dementia Study, recruited from the Cognitive Neurology clinic at Sunnybrook Health Sciences Centre, a University of Toronto academic healthcare institution. All participants were fluent in English and had adequate visual and auditory acuity to complete neuropsychological testing. A total of 157 participants were divided into three groups: 29 control subjects (MMSE ≥ 27), 86 mild patients (MMSE ≥ 21) and 42 moderate/severe patients (MMSE 8–20) (see Table 1). The MMSE is widely used in clinical practices and similar cut-offs to separate control, mild and moderate/severe AD patients have been used in pervious clinical trials (see Wilcock et al., Reference Wilcock, Black, Hendrix, Zavitz, Swabb and Laughlin2008). Total Dementia Rating Scale (DRS) score was also used to classify overall performance as normal or abnormal, using a cut-off score of 123 as recommended by the Mattis Dementia Rating: Professional Manual (Fernandez & Scheffel, Reference Fernandez and Scheffel2003; Green et al., Reference Green, Woodard and Green1995; Jurica et al., Reference Jurica, Leitten and Mattis2001; Mattis, Reference Mattis1988). The percentages of individuals exceeding this value for the control, mild and moderate groups were 100%, 40%, and 0%, respectively.

Table 1.

Demographic characteristic of subjects

Note

Analysis showed no significant differences were observed between participant groups on age, education, and sex.

Patients in this study met National Institute of Neurological and Communicative Disorders and Stroke–Alzheimer's Disease and Related Disorders Association criteria for probable AD (McKhann et al., Reference McKhann, Drachman, Folstein, Katzman, Price and Stadlan1984), and the Diagnostic and Statistical Manual of Mental Disorders–Fourth Edition (American Psychiatric Association, 1994) criteria for dementia. All patients received a comprehensive clinical evaluation, including detailed medical history, neurological examination, routine laboratory investigation, standardized neuropsychological testing and neuroimaging. Eighty-nine percent of the mild participants and 93% of the moderate participants were on cholinergic medications. Individuals in this study, not on cholinergic agents were recruited before their clinical availability. Informed consent was obtained from the patients or their substitute decision markers. All procedures and collection of data were in accordance with the Sunnybrook Health Science Centre Research Ethics Board policy.

Neuropsychological Tests

As discussed above, the Benton Judgement of Line Orientation (BLO) and the Rey-Osterrieth Complex figure (RO) were the cognitive tests used to probe visuoconstructive performance in this study (Benton, Reference Benton1994; Lezak, Reference Lezak1995). For the BLO, participants were shown 6 practice and 30 test items from the test booklet. Results were scored between 0 and 30. Each item of the test consists of two components: a stimulus on the top page showing 2 lines orientated in a specific configuration, and at the bottom of the page, a semicircular array of 11 possible responses, none of which exceeding 180°. Subjects were required to choose two lines from the array on the bottom page that had the same orientation as the two stimulus lines on the top of the page. Typically, individuals with AD are impaired on this procedure (Eslinger et al., Reference Eslinger, Damasio, Benton and Van1985; Eslinger & Benton, Reference Eslinger and Benton1983; Ska et al., Reference Ska, Poissant and Joanette1990), usually scoring below the 18-point cut-off (Lezak et al., Reference Lezak, Howieson and Loring2004).

The RO is a well-known instrument used to assess visuoconstructive abilities which requires the copying of a complex geometrical figure and includes a standardized scoring procedure using 18-items and a 36-point scoring system (Corwin & Bylsma, Reference Corwin and Bylsma1993; Lezak, Reference Lezak1995; Meyers et al., Reference Meyers, Bayless and Meyers1996; Spreen & Strauss, Reference Spreen and Strauss1998). For this study we decided to use a 23-point cut-off score which is above the normal BLO and RO 31-point cut-off indicating an abnormality to demonstrate even at the upper ends of these procedures considerable differences are apparent.

The DRS comprises a series of five subtests which assess attention, memory, initiation/perseveration, construction, and conceptualization. It can be administered in full in approximately 30 min, and is useful for the detection and estimation of the overall level of dementia (Jurica et al., Reference Jurica, Leitten and Mattis2001).

SPECT Scans

SPECT imaging was performed on the whole brain using a triple-head gamma camera (Prism 3000XP; Phillips Medical Systems Inc, Cleveland, OH), a minimum of 30 min and a maximum of 120 min after injection of 20 mCi (740 MBq) of the radiopharmaceutical Technetium-99m ethyl cysteinate dimer (99mTc-ECD). Each view consisted of a 128 × 128 pixel image acquisition matrix with an acquisition zoom of 1.0 and 120 frames were acquired over 360° (i.e., 60 frames per camera head) in continuous-acquisition mode with a typical reconstructed image resolution of 9.7 mm full-width at half-maximum (reconstructive field of view 27.6 cm). A 120 slices were collected and total imaging time was 19 min. Reconstruction was performed using a ramp-filtered back-projection algorithm followed by a 3-dimensional restoration postfilter (Wiener filter, multiplier 1.0). Ellipses were fit to the approximate location of the outline of the head in each transaxial image and a calculated attenuation correction applied. After attenuation correction voxel size was 2.17 × 2.17 × 3.56 mm and the number of slices ranged from 37 to 57 (Chang, Reference Chang1978). Reconstructed images were co-registered (AIR) to a region-of-interest SPECT template, derived by co-registration to a 3D T1-weighted MRI of an elderly control [for a further detailed description of the SPECT protocol, see Lobaugh et al. (Reference Lobaugh, Caldwell, Black, Leibovitch and Swartz2000)]. Mean perfusion in regions of interest (ROI) was referenced to the cerebellum to provide semi-quantitative measures of regional cerebral blood flow (rCBF).

Partial Least Squares (PLS)

PLS is an analytical method that is useful for understanding the relationships between multiple correlated variables in two domains. PLS is ideal for data sets where the dependent measures within a block are highly correlated (e.g., rCBF values). Behavior PLS is designed to examine brain-behavior correlations. It begins by creating a data matrix containing the mean SPECT ROI values [e.g., columns of imaging data for each patient (128) by the 75 ROIs regions]. This matrix is then cross-correlated with each behavioral measure [e.g., 2 measures (BLO & RO) for each of the 128 patients]. The product of this cross-correlation analysis creates a set of single vectors for each of the two behavioral measures. These vectors are then stacked into a single matrix and using single decomposition value (SVD) 2 latent variables (LVs) are produced (Number of LVs relate to number of behavioral measures). The LVs allow for the identification of the commonalities and/or differences in brain-behavior relations, and the regions contributing to those effects.

Thus, the PLS multivariate design unlike the univariate design of statistical parametric mapping (SPM) has the ability to provide insight into anatomical “network” connections using two sets of multiple measures (e.g., imaging and behavioral measures). In addition, unlike SPM, PLS has the ability to take into consideration spatiotemporal data as a whole during assessment of brain areas, providing a parsimonious understanding of brain-behavior relationships (Lin et al., Reference Lin, McIntosh, Agnew, Eden, Zeffiro and Belliveau2003).

ANALYSIS

Neuropsychological Test Analysis

The first analysis examined the ability of the neuropsychological tests to distinguish among participant groups. Percentage scores were used to demonstrate performance results for the three groups. Groups were examined on all neuropsychological measures using a MANCOVA (multivariate) analysis to examine the main effects and covaried for age, sex, and years of educations. All data were analyzed by the investigators using SPSS for Windows (version 15; SPSS Inc., Chicago, IL).

SPECT Hemispheric Analysis

First, the main effect of participant groups with respect to regional perfusion ratio were examined using multivariate (Factorial MANCOVA) analysis (values normalized to cerebellum). To examine interaction effects the analysis included covariates for age, education and sex. For this examination the parietal region included five pairs of subregions: PreCuneus, Superior parietal lobe, Supramarginal, Angular Gyrus, and Post Central Gyrus and four temporal regions and one frontal region from each hemisphere: Middle Temporal Gyrus (lateral), Middle Temporal Gyrus (medial), Superior Temporal Gyrus (lateral), Superior Temporal Gyrus (medial), Superior Frontal Gyrus (dorsal) (Right = R and Left = L). Regions of interest were defined semi-automatically on SPECT, and were anatomically localized with the aid of co-registered MRI.

A general linear model, ANOVA analysis was also conducted on the normalized means. The role of this analysis was to determine whether there were differences in right and left hemisphere regional perfusion ratios among participant groups. In addition, t test evaluations were used to examine hemispheric bias within the participant populations.

Regression Analysis

Multiple regression analysis was pursued to elucidate the relationship between parietal perfusion values and the behavioral measures (BLO and RO). Significant values indicate that behavioral measures can be effective in understanding perfusion values, however, only to the extent that meaningful data can be retrieved (i.e., stable scores within meaningful range on BLO and RO) from behavioral tasks. This top-down approach was based on the hypothesis that regions within the parietal lobe, particularly on the right would correlate with visuospatial task performance.

PLS Analysis

A behavioral PLS analysis [available as a Matlab (Mathworks Inc) graphical user interface at http://www.rotman-baycrest.on.ca/index.php?section=84] was applied to determine the patterns of brain perfusion correlated to performance on the two neuropsychological measures for the patient sample.

Evaluation of the stability of the LVs is done using permutation tests to assess whether the effect represented in a given LV is sufficiently strong, in a statistical sense, to be different from random noise. The significance of the LV is calculated on the value representing the strength of the brain behavior relation (singular value). No corrections for multiple comparisons are necessary because the rCBF saliencies are calculated in a single mathematical step on the whole brain (McIntosh et al., Reference McIntosh, Bookstein, Haxby and Grady1996; McIntosh & Lobaugh, Reference McIntosh and Lobaugh2004). Bootstrap estimation of standard errors for the ROI saliencies as well as for the correlation of the subjects' “brain scores” (the dot-product of the ROI saliencies with the subject's rCBF data) and neuropsychological data provide measures of the reliability of the obtained results (McIntosh et al., Reference McIntosh, Bookstein, Haxby and Grady1996, Reference McIntosh, Chau and Protzner2004; Strother et al., Reference Strother, Anderson, Hansen, Kjems, Kustra, Sidtis, Frutiger, Muley, LaConte and Rottenberg2002).

RESULTS

Neuropsychological Test Results

On both the RO and BLO tasks control subjects performed well (becq-Derouesne & Beauvois, Reference becq-Derouesne and Beauvois1989; Spreen & Strauss, Reference Spreen and Strauss1998). In fact, for the BLO, 93% of the control group were above the average cut-off score of 23. In contrast, 58% of the mild group were above the cut-off, with an additional 16% between 21 and 23. In the moderate group, only 10% were above the cut-off. For the RO, 93% of the control group were above the cut-off score of 31, compared with only 36% of the mild group and 14% of the moderate group. Performance was significantly impaired on these tasks in both the mild and moderate patient groups (Table 2).

Table 2.

Mean values for two neuropsychological measures: Rey-Osterrieth Figure Copy and Benton Line Orientation, (±) represents standard error of the mean

Multivariate analysis (MANCOVA) covarying for age, education, and sex revealed significant differences between all groups on all neuropsychological measures; RO: F 2,127 = 28.61; p < .001; BLO: F 2,127 = 27.78; p < .001; and DRS: F 2,127 = 12.41; p < .001. Covariate factors demonstrated no significant difference between groups (p < .005), but were included because age, education, and sex are known to influence cognitive performance.

SPECT Analysis

A multivariate (MANCOVA) analysis was conducted, as describe above to compare parietal, temporal, and frontal regional perfusion ratios on the three groups, covarying for age, education, and sex. Main effects between participants groups were observed on the parietal lobe perfusion ratios (Table 3). Covariate analysis displayed no interaction effects (significance level set at p < .005). Pair-wise comparisons (Bonferroni corrected) displayed a significant difference for all variables at the p < .005 level between control participants and AD participants regardless of severity of disease, with the exception of the Postcentral gyrus (bilaterally) (control vs. mild and mild vs. moderate); Superior parietal (left) (mild vs. moderate sample); Supramarginal gyrus (right) (control vs. mild). Main effects between participant groups for temporal and frontal lobe perfusion ratios were also observed (Table 4). Pair-wise comparisons (Bonferroni corrected) of perfusion ratios for temporal and frontal regions showed a differences between control and moderate AD in the lateral middle temporal gyrus bilateral, and the right lateral superior temporal gyrus.

Table 3.

Results for SPECT ROI analysis among all three participant groups, shown for the specific parietal subregions for each hemisphere, Right (R) and Left (L)

Table 4.

Results for SPECT ROI analysis among all three participant groups, shown for the specific temporal and frontal subregions for each hemisphere, Right (R) and Left (L)

Univariate analysis revealed significant group differences for the right and left hemispheres (values normalized to cerebellum) within the parietal lobe; Right: F 2,151 = 21.18; p < .001; Left: F 2,151 = 18.12; p < .001. Post hoc analysis showed all groups differed regardless of the severity of AD or hemisphere (R/L) Thus, the control group differed significantly from the mild group and the moderate group was significantly different from the mild group: Control vs. Mild p < .005, Mild vs. Moderate p < 0.001). A reduction in regional blood flow (rCBF) was constant within the parietal lobe bilaterally between hemispheres across sample populations (i.e., parallel decreases in hemisphere can be observed) (see Figure 1; Table 5).

Fig. 1.

Displayed are the SPECT (rCBF) ratios within the parietal regions for both the right and left hemisphere, for Control, probable Mild and Moderate AD, error bars represent standard error of the mean. Whole hemisphere analyses indicated that all groups differed significantly at p < .001 level. As well, within each group the left versus right hemisphere was significantly different at the p < .001.

Table 5.

SPECT perfusion values for all three participant groups, shown for the specific parietal subregions for each hemisphere, Right (R) and Left (L)

Multiple Regression of Perfusion Levels Versus Visuospatial Tasks

Multiple regressions were performed with normalized means for parietal perfusion ratios and regressed against the BLO and RO. The control population displayed no significant correlation between neuropsychological tests and SPECT data. Within the mild sample, the right superior parietal lobe (F 1,84 = 12.12; p < .005; R 2 = .13) was significantly correlated with the BLO. Similarly the right superior parietal lobe (F 1,84 = 23.20; p < .001; R 2 = .22) and right postcentral gyrus: F 1,83 = 11.64; p < .005; R 2 = .31, were also significantly correlated with the RO. These results indicate that the mild group had the highest correlations; in moderate patients, floor effects reduced the power to assess these relationships [Very low scores or in some cases no score at all was seen in this subject group (moderate), i.e., zero score BLO =17/42; zero score RO = 2/42].

Multiple regressions were performed with normalized means for temporal and frontal perfusion ratios and regressed against the BLO and RO measures. Neither the control group nor the two patients groups displayed significant correlations between neuropsychological tests and these regional perfusion ratios. The absence of significant relationships highlights the specificity of the correlations with the parietal regions.

PLS Results

PLS analysis was undertaken between all brain regions and behavioral performance on BLO and RO for our patient populations. Two latent variables were produced by this analysis (1000 permutations/500 bootstraps; see McIntosh et al., Reference McIntosh, Chau and Protzner2004), but only the first (BLO) was found to be significant. A singular image was produced which reflected the regions contributing to the brain behavior relationship. Ratios that were greater than 2.58 (a Z-score equivalent of a .003 level of significance) were considered stable (Figure 2). It is important to note that no single region can produce these results, but rather it is the pattern of identified network regions that contributed to observed behavioral differences. Strong stable negative salience regions were: [Parietal lobe (left), Medial Temporal Gyrus (left lateral), Superior Temporal Gyrus (left lateral), Super Marginal Gyrus (right anterior), Inferior Frontal Gyrus (left medial), Postcentral Gyrus (left), Lingual Gyrus (bilateral), Middle frontal gyrus posterior (bilateral), Paracentral (anterior) bilateral, Insula (left), Obitial frontal gyrus (right), Cingulate anterior (right ventral), RetroSplen (left), Posterior Cingulate, Caudate Putamen, Thalamus (right)]. These patterns (dark regions) are summarized in a schematic depiction of the brain template (Figure 2). These results indicate that the patients have a large number of negatively salient brain areas in relation to behavioral tasks. Thus, lower scores, particularly on the BLO, reflected reduced perfusion ratios.

Fig. 2.

PLS map of network regions showing the groups SPECT perfusion patterns, in relation to the BLO and RO behavior measures. Scales shows Brain Scores (obtain via PLS) and reflects overall weight variable throughout 75 ROI regions. White regions indicate areas with no relationship. Gray areas indicate a mild relationship to behavioral tasks. Black areas indicate a strong relationship to behavioral tasks.

DISCUSSION

This study was designed to elucidate brain-behavior correlations between visual constructive and visual spatial neuropsychological tasks and regional brain perfusion ratios. The parietal region has been implicated as an area essential for spatial attention/orientation, as well as a region mediating visuoconstructive spatial tasks such as BLO and RO. Right-side decrease in perfusion was associated with worse performance on the BLO and the RO tests, as expected. The PLS analysis displayed a complex network of connections (e.g., multitude of brain regions), linking other brain regions such as the frontal lobe mediating executive aspects of the RO procedure, although a key processing area remained the parietal lobe, and, as shown, the strongest salient relationship remained the “purer” visuospatial procedure of the BLO, with minimal motor demands.

Neuropsychological Test and SPECT Results

Typically, lesion studies with BLO have demonstrated that individuals with right parietal lobe damage, specifically, the superior parietal lobe, are more impaired on task completion than individuals with left parietal lobe damage (Benton, Reference Benton1994; Benton et al., Reference Benton, Varney and Hamsher1978; Hamsher et al., Reference Hamsher, Capruso and Benton1992; Nobili et al., Reference Nobili, Brugnolo, Calvini, Copello, De Leo, Girtler, Morbelli, Piccardo, Vitali and Rodriguez2005). More recently, researchers have suggested that both hemispheres are in fact important for BLO completion (Brown & Kosslyn, Reference Brown and Kosslyn1993; Corbetta et al., Reference Corbetta, Miezin, Shulman and Petersen1993; Martinez et al., Reference Martinez, Moses, Frank, Buxton, Wong and Stiles1997) with relatively more activation from the right superior parietal hemisphere (Ng et al., Reference Ng, Eslinger, Williams, Brammer, Bullmore, Andrew, Suckling, Morris and Benton2000). Interestingly, in this study the mild subgroup showed significant relationships on both the BLO and RO to the superior parietal lobe (right), but this was no longer apparent in the moderate stage of the disease. This could be attributed to the inability to retrieve meaningful data due significant performance deficits in the moderate group (i.e., low ranges of performance and the inability to pass screening procedures and generate meaningful data).

SPECT analysis demonstrated that significant differences in perfusion ratios substantial hypoperfusion can be observed bilaterally between AD and controls in parietal ROIs. In addition, more parietal regions differed significantly between participant groups compared with temporal and frontal regions. Confirming the sensitivity of resting state imaging measures, identified to be affected early in AD (Houston et al., Reference Houston, Kemp, Macleod, Francis, Colohan and Matthews1998; Johnson et al., Reference Johnson, Jahng, Weiner, Miller, Chui, Jagust, Sakamoto and Mori2005).

Thus, visuomotor tasks may provide an additional measure of decline, particularly, in individuals with high premorbid verbal ability (e.g., high cognitive reserve) (Scarmeas & Stern, Reference Scarmeas and Stern2004; Stern, Reference Stern2006) .

Multiple Regressions

The multiple regression analysis suggests that in AD, significant relationships can be observed between the visuospatial tasks and the parietal ROIs. Specifically, hypoperfused parietal regions may be related to reductions observed in task performance, particularly in mild AD, giving validation to these visuospatial tasks as cognitive measures with regional neural correlates in AD. These results support the potential utility of tasks probing visuospatial ability to detect the presence of and track the course of AD.

Partial Least Squares Analysis

It is important to remember that entire networks of brain regions are involved in completing even the simplest of tasks. PLS analysis is an innovative method with which to examine brain values (rCBF) in relation to behavioral measures. It uses data from the entire brain to determine the network of regions may be contributing to task performance. In this sample, the BLO was the only measure to show a stable relationship, suggesting that reduced performance on this behavioral measure was related to decreased perfusion ratios in the parietal regions.

CONCLUSION

This study used both bottom-up and top-down analyses to examine brain behavior relationships in the visual-spatial domain in AD compared with age-matched controls. The large sample size and the range of severity included demonstrated that parietal hypoperfusion correlated with poorer visuospatial performance, and was identifiable even in mild stage AD, suggesting that this cognitive domain can be a useful probe of cognitive decline in mild AD, which could be particularly helpful in patients whose verbal abilities are relatively preserved.

ACKNOWLEDGMENTS

The authors thank Dr. Nancy Lobaugh and Farrell Leibovitch for assistance in interpreting the PLS analysis and to acknowledge the assistance of the following individuals, who administered the cognitive tests: Jennifer Bray, Brain Buck, Patricia Ebert, Carly Guberman, Stephen Kohler, Le-Anh Ngo, Christine Pond, and Amber Vance. A special thanks to Naama Levy-Cooperman and Isabel Lam for their assistance with the SPECT database. This research was supported by Canadian Institute of Health Research (MT13129) as well as Alzheimer's Society of Canada, Alzheimer's Association US and the LC Campbell Cognitive Neurology Unit.

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Figure 0

Table 1. Demographic characteristic of subjects

Figure 1

Table 2. Mean values for two neuropsychological measures: Rey-Osterrieth Figure Copy and Benton Line Orientation, (±) represents standard error of the mean

Figure 2

Table 3. Results for SPECT ROI analysis among all three participant groups, shown for the specific parietal subregions for each hemisphere, Right (R) and Left (L)

Figure 3

Table 4. Results for SPECT ROI analysis among all three participant groups, shown for the specific temporal and frontal subregions for each hemisphere, Right (R) and Left (L)

Figure 4

Fig. 1. Displayed are the SPECT (rCBF) ratios within the parietal regions for both the right and left hemisphere, for Control, probable Mild and Moderate AD, error bars represent standard error of the mean. Whole hemisphere analyses indicated that all groups differed significantly at p < .001 level. As well, within each group the left versus right hemisphere was significantly different at the p < .001.

Figure 5

Table 5. SPECT perfusion values for all three participant groups, shown for the specific parietal subregions for each hemisphere, Right (R) and Left (L)

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Fig. 2. PLS map of network regions showing the groups SPECT perfusion patterns, in relation to the BLO and RO behavior measures. Scales shows Brain Scores (obtain via PLS) and reflects overall weight variable throughout 75 ROI regions. White regions indicate areas with no relationship. Gray areas indicate a mild relationship to behavioral tasks. Black areas indicate a strong relationship to behavioral tasks.