Abstract
Objective
To use arterial spin labelling to investigate differences in perfusion in mild cognitive impairment with Lewy bodies (MCI-LB) compared to Alzheimer type MCI (MCI-AD) and healthy controls.
Methods
We obtained perfusion images on 32 MCI-LB, 30 MCI-AD and 28 healthy subjects of similar age. Perfusion relative to cerebellum was calculated, and we aimed to examine differences in relative perfusion between MCI-LB and the other groups. This included whole brain voxelwise comparisons, as well as using predefined region-of-interest ratios of medial occipital to medial temporal, and posterior cingulate to precuneus. Differences in occipital perfusion in eyes open vs eyes closed conditions were also examined.
Results
Compared to controls, the MCI-LB showed reduced perfusion in the precuneus, parietal, occipital and fusiform gyrus regions. In our predefined regions, the ratio of perfusion in occipital/medial temporal was significantly lower, and the posterior cingulate/precuneus ratio was significantly higher in MCI-LB compared to controls. Overall, the occipital perfusion was greater in the eyes open vs closed condition, but this did not differ between groups.
Conclusion
We found patterns of altered perfusion in MCI-LB which are similar to those seen in dementia with Lewy bodies, with reduction in posterior parietal and occipital regions, but relatively preserved posterior cingulate.
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Introduction
There is increased recognition that identification and treatment of dementia should be performed as early as possible in the disease process to optimise chances of treatment success, and to be able to offer specific healthcare advice to patients and care givers. As such, there has been a research focus on earlier, prodromal stages, of dementia such as the condition of mild cognitive impairment (MCI), which represents a high risk state for progression to dementia. Whilst most previous work and diagnostic criteria for MCI has focussed around it as a risk state for progression to Alzheimer’s disease, criteria for mild cognitive impairment with Lewy bodies (MCI-LB) have recently been published as part of the recognition that prodromal stages of dementia with Lewy bodies can also be identified [1].
Imaging of brain metabolism, either through FDG-PET, perfusion SPECT or arterial spin labelled MRI (ASL) [2,3,4] is often done as part of the investigation in dementia patients. Studies with FDG-PET in MCI-LB have found a hypometabolic pattern similar to that seen in dementia with Lewy bodies (DLB) [5], with parieto-occipital hypometabolism [6], and relative preservation of posterior cingulate (cingulate island sign) [7]. Compared with FDG-PET, ASL has the advantage of being cheaper, non-radioactive, and can be done alongside other MR imaging; Dolui [8] compared ASL and FDG in MCI-AD and age matched controls and found similarities between the two techniques, with the hypometabolism patterns in MCI-AD similar to those seen in AD dementia. There have been few studies using perfusion imaging ASL in MCI-LB. Roquet et al. found mild reductions in the temporal and insula gyrus [9], and some studies have compared Parkinson’s disease with and without mild cognitive impairment [10], finding reduced precuneus perfusion. In our previous paper comparing AD and DLB with FDG imaging [11], we found that both the ratio of posterior cingulate cortex (PCC) to precuneus and ratio of medial occipital to medial temporal lobe (MTL) metabolism were useful in distinguishing between the diseases. We aimed to investigate this in MCI using ASL.
In a previous article investigating FDG-PET in early stage PD [12], we found parieto-occipital reductions in PD compared to age matched controls. That study was performed with participants having their eyes open. In healthy subjects with normal vision, occipital metabolism is increased on opening eyes, owing to the increased stimulation of the occipital lobe. We hypothesised that due to changes in their visual system [13], patients with Lewy body disease might have a diminished occipital response to opening their eyes, which might underlie this occipital hypometabolism in the eyes open state. In this current study, we acquired ASL images in both the eyes open and closed conditions to investigate this further in MCI-LB.
In this study, we aimed to investigate blood perfusion measured with ASL in patients with MCI-LB and MCI-AD, in comparison to each other and to healthy subjects of the same age, to verify the extent to which changes seen in DLB are present in MCI-LB and thus to indicate if ASL may be of clinical use in the diagnosis of MCI-LB.
Our hypotheses were:
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1.
The posterior cingulate/precuneus ratio would be increased in MCI-LB relative to MCI-AD and controls.
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2.
The medial occipital/MTL ratio would be decreased in MCI-LB relative to MCI-AD and controls.
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3.
Voxelwise analysis would show decreased perfusion in the occipital and lateral parietal regions in MCI-LB compared with MCI-AD and controls.
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4.
Blood flow in the occipital lobe would increase in all subjects on eyes open vs closed, but that this would be less marked in MCI-LB.
Methods
Participants
This study included participants over the age of 60 with a diagnosis of mild cognitive impairment (MCI) who were recruited from local memory services in the north east of England between April 2016 and Sept 2019. In addition to MCI, participants reported one or more clinical symptoms supportive (but not specific) to a diagnosis of LB disease (e.g. sleep disturbance, mood changes, or autonomic symptoms) or any of the core LB clinical features (visual hallucinations, cognitive fluctuations, REM sleep behaviour disorder, parkinsonism). Following informed consent, participants underwent interview, clinical assessment and neurological examination by a medical doctor (RD, SL).
The MDS Unified Parkinson’s Disease Rating Scale-Motor Examination (UPDRS-III), Epworth Sleepiness Scale (ESS), and Geriatric Depression Scale (GDS) were administered to patients. The Instrumental Activities of Daily Living (IADL) scale, Neuropsychiatric Inventory (NPI), North-East Visual Hallucinations Inventory (NEVHI), Mayo Sleep Questionnaire (MSQ), Dementia Cognitive Fluctuation Scale (DCFS), and Clinician Assessment of Fluctuation (CAF) were administered to informants. Clinical Dementia Rating scale (CDR) and Cumulative Illness Rating Scale for Geriatrics (CIRS-G) were completed on the basis of the clinical history and other research assessments. A detailed neuropsychological evaluation was also carried out similar to that reported previously [14] which included the ACE-R, a 100-point cognitive screening test from which Mini-Mental State Examination (MMSE) score was derived. All participants were offered imaging with 123I-metaiodobenzylguanidine (MIBG) myocardial scintigraphy and 123I-N-3-fluoropropyl-2beta-carbomethoxy-3beta-4-iodophenyl tropane (FP-CIT) SPECT. FP-CIT images were rated as normal/abnormal by an experienced consensus panel blind to clinical information [15]. For MIBG, the heart to mediastinum ratio (HMR) was calculated from manually drawn regions of interest, and scans were classified as normal/abnormal using a predefined HMR cut off of 1.85 based on local control data [16].
Diagnosis of MCI was confirmed by a consensus panel of three experienced old-age psychiatrists according to NIA-AA criteria [17] after reviewing medical records. This was based on evidence of minimal functional impairment and a CDR of 0 or 0.5, and a history of subjective and objective cognitive decline on assessment, originally identified in the health service. We excluded those with dementia or only subjective impairment as well as those with vascular or frontotemporal etiologies, or parkinsonism pre-dating cognitive impairment by more than one year. To determine the aetiology of the MCI, the presence or absence of core Lewy body (LB) symptoms were rated by the panel blind to imaging findings. Core features were determined in accordance with the fourth consensus criteria for DLB [18] which is consistent with the recently published MCI-LB criteria [1].
Participants all had baseline research assessments and most had annual review data available by the time of data locking. Annual review data was used for the consensus panel diagnosis where available. A diagnosis of probable MCI with Lewy bodies (MCI-LB) was given if a patient had two or more core Lewy body symptoms or one core symptom in addition to a positive FP-CIT or MIBG scan. A diagnosis of MCI with probable Alzheimer’s disease (MCI-AD) was given to patients who had no core Lewy body symptoms and negative FP-CIT and MIBG findings. CSF and imaging biomarkers were not used in the diagnosis of MCI-AD, therefore the MCI-AD fulfilled the NIA-AA ‘Core Clinical Criteria’ for MCI-AD.
According to these criteria, we performed MRI scans on 39 participants diagnosed with probable MCI-LB and 37 diagnosed with MCI-AD. Healthy controls (N = 31) were recruited from friends and relatives of the patients and from a local research register and had no history of psychiatric or neurological illness, no evidence of cognitive decline and MR scans within normal limits. We also acquired MRI scans on 18 subjects who had only one Lewy body core feature or positive biomarker at most recent review. These participants were not included in the analysis presented here as our focus was on probable MCI-LB vs MCI-AD. Figure 1 shows the recruitment and exclusion flowchart.
Written informed consent was obtained from all participants prior to study participation and the study was approved by the National Research Ethics Service Committee North East—Newcastle & North Tyneside 2 (Research Ethics Committee Identification Number 15/NE/0420).
Imaging
Imaging was performed on a 3 T Philips Intera Achieva scanner. Structural images were acquired with a magnetization prepared rapid gradient echo (MPRAGE) sequence, sagittal acquisition, echo time 4.6 ms, repetition time 8.3 ms, inversion time 1250 ms, flip angle = 8°, SENSE factor = 2, in-plane field of view 240 × 240 mm with slice thickness 1.0 mm, yielding a voxel size of 1.0 × 1.0 × 1.0 mm3. A FLAIR (fluid attenuated inversion recovery) sequence was also obtained with repetition time 11,000 ms, inversion time 2800 ms, echo time 125 ms voxel size 0.94 × 0.94 mm, 50 slices with thickness 3 mm.
Perfusion scans were acquired in eyes closed then eyes open conditions, each lasting 4 min with a background suppressed pseudo continuous arterial spin labelling (pCASL) with a spin echo- echo planar image (repetition time = 4 s, echo time 13 ms, label duration = 1.65 s, post label delay = 1.6 s, slice thickness = 5 mm). Apart from the comparison of eyes open vs eyes closed, all other analyses were done on the average of both ASL acquisitions.
Image processing
FLAIR images were co-registered with the T1 weighted structural image, and areas of white matter hyperintensity (WMH) identified using in house developed code based on SPM [19]. The ASL images were converted to relative perfusion maps using the FSL basil tool (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BASIL). We used SPM12 (https://www.fil.ion.ucl.ac.uk/spm/) to co-register the ASL images to the structural T1 images, which were normalised to standard space using the Dartel toolbox. The Dartel spatial transformation was applied to the perfusion maps which were written in the standard Montreal Neurological Institute 152 space with a resolution of 1.5 × 1.5 × 1.5 mm. Gaussian smoothing of 8 mm was applied. For region-of-interest analysis, we extracted the mean perfusion values of the medial occipital lobe from the visual area regions V1 and V2 from the anatomy toolbox [20, 21] and used regions of medial temporal lobe, posterior cingulate, precuneus and cerebellum, derived from the AAL atlas [22] as described previously [11]. The mean signal intensity in the cerebellum was used to normalise values to give rCBF in the SPM analyses. The anatomical description of significant clusters was determined utilising the anatomy toolbox.
ASL scans were not obtained on 1 control due to technical problems, 1 MCI-AD and 1 MCI-LB who did not tolerate the whole scan period, two subjects (1 MCI-AD, 1 MCI-LB) were excluded due to incomplete scan coverage of the brain. We excluded those with > 2 mm motion (1 control, 2 MCI-AD, 3 MCI-LB). We also visually inspected all scans (blind to group) and excluded a further 1 control, 3 MCI-AD, 2 MCI-LB due to poor quality images including those with low signal to noise, unexpected asymmetries, and abnormally high signal in the main blood vessels.
Statistics
For image voxelwise comparisons, we used the general linear model in SPM, thresholded voxelwise at p < 0.001 uncorrected, and then clusters which were significant after family wise error correction (p < 0.05) were reported. R version 3.6.3 was used for all other statistical analysis. ANOVA was used to compare groups, followed (where significant) by Tukey HSD test to determine between group differences. T tests were done without assuming equal variance. Chi square or Fisher’s exact tests were done to compare categorical variables. Correlations with clinical variables were done with Spearman’s rho. For WMH volumes, we calculated the log of the ratio of WMH to total brain volume to render the data more normally distributed. Table 1 gives the mean volume in mm3 for ease of interpretation, but the t-test was done on the logged values.
Results
There were 32 MCI-LB, 30 MCI-AD and 28 controls with ASL perfusion scans included in the analysis. Table 1 shows the demographics of these subjects. In keeping with the disease profile, most of the MCI-LB subjects were male. Results from these participants have been previously published [23], including further details of the cognitive and clinical characteristics of the patients.
Table 2 shows the mean values of perfusion for the PCC/precuneus ratio. This was highest in the MCI-LB group, which was significantly different to the control group, but there were no significant differences between the two MCI groups. Table 2 also shows the ratio of medial occipital/medial temporal lobe perfusion. This was lowest in MCI-LB, again being significantly different in comparison to controls, but not MCI-AD. As an indication of the tagging efficiency variablity, the measured signal in the occipital lobe in the perfusion weighted images (ie without normalisation by the cerebellum) was: Control 16.5 (SD 5.5), MCI-AD 18.4 (SD 6.1), MCI-LB 14.4 (SD 4.5) arbitrary units.
For the voxelwise comparisons (Fig. 2, Table 3), the MCI-LB compared with the control group had significantly lower perfusion in the precuneus and superior parietal, parietal-occipital, and fusiform gyrus occipito-temporal areas. We extracted the mean signal from the three significant clusters (precuneus and superior parietal, inferior parietal, and occipito-temporal) to investigate correlations with clinical scales in the MCI-LB group.
There were no significant clusters in the voxelwise comparison between MCI-AD and either control or MCI-LB groups.
In the comparison of eyes open vs closed, as expected there was significantly higher perfusion in the primary visual cortex of the occipital lobe during the eyes open vs eyes closed period (Fig. 3). However, as can be seen in Table 4, there were no significant group differences in the change in perfusion to eyes opening. Table 4 also shows the occipital perfusion in the eyes closed state, showing a significant reduction in MCI-LB compared to the control group.
To investigate the extent to which the perfusion changes in the MCI-LB group were more marked in those subjects with a more robust LB disease phenotype, we compared those with two or fewer diagnostic features at baseline (including clinical features and abnormal MIBG or FP-CIT) against those with more than 2 features. As shown in Fig. 4, compared to those with two or fewer diagnostic features, the MCI-LB participants with more diagnostic features had a significantly lower medial occipital/MTL perfusion ratio (0.992 SD 0.18 vs 1.180 SD 0.18; t = 3.01; p = 0.005). The PCC/ precuneus ratio was also greater (though not significantly) in this group (1.13 SD 0.17 vs 1.03 SD 0.11; t = 2.00; p = 0.054). Although perfusion relative to cerebellum was lower in all the spm clusters in the MCI-LB group with more diagnostic features, this was not significant: superior parietal (2.78 SD 0.65 vs 3.2 SD 0.76; t = 1.67; p = 0.1), inferior parietal (3.38 SD 0.59 vs 3.49 SD 0,70; t = 0.47, p = 0.6), occipito-temporal (2.26 SD 0.40 vs 2.4 SD 0.60; t = 0.86; p = 0.4).
To see whether loss of cognitive abilities typical of LB disease were associated with perfusion loss, we also investigated associations between perfusion in these regions in the MCI-LB participants and the ACE Total score, as well as ACE visuospatial and memory composite score (Table 5) representing domains frequently affected in LBD and AD respectively. The parietal cluster perfusion correlated significantly with ACE visuospatial score, and tended to significance with ACE total and memory score; however, these were not significant after controlling for multiple comparisons.
Discussion
We found patterns of altered perfusion in MCI-LB which are similar to those seen in DLB, with reduction in posterior parietal and occipital regions and a significantly lower medial occipital/MTL perfusion ratio compared with healthy controls, and evidence of the cingulate island sign, although this did not distinguish MCI-LB from MCI-AD.
The overall pattern of hypoperfusion in MCI-LB is very similar to that seen in DLB [3, 11, 24] albeit less pronounced, with posterior reductions in perfusion, including the precuneus, inferior parietal, occipital lobe, and inferior temporal lobe, and relative sparing of the posterior cingulate gyrus (see Fig. 2). This implies that the typical perfusion deficits in DLB are present from an early stage, and encourages the use of ASL or FDG-PET to identify those at risk of DLB. We saw some evidence (Table 4) that the perfusion in the precuneus and superior parietal lobe was reduced in those with worse cognition. These areas are affected in both AD and DLB [2, 11, 24], and correlations between cognition and glucose metabolism in this region have likewise been reported in PD [12]. Reduced perfusion in the precuneus and adjacent parietal areas thus seems to relate to cognitive decline in general, rather than being specific to any particular disease.
The relative preservation of the posterior cingulate in DLB is well established, being visible using both FDG and ASL [3]. A study by Iizuka et al. [25] concluded that the cingulate island sign changed with LB disease progression in an inverted U shaped fashion, being most marked in those with an MMSE of 22 compared to those with higher or lower MMSE. In keeping with this, we found the ratio of posterior cingulate to precuneus was increased overall in MCI-LB, tending to be more so in those with more diagnostic features of LB disease. This finding supports the use of this ratio (or a visual rating scale assessment [26]) to identify those with more typical LB features. However, a recent review in MCI-LB [5] suggested that reduced posterior cingulate metabolism can occur in those who progress to DLB, and further work is needed to validate the use of posterior cingulate preservation as a predictor of LB disease.
In our previous research in DLB with FDG-PET, we suggested the use of the medial occipital to medial temporal lobe ratio to distinguish AD from DLB. Recent research in RBD (a frequent prodromal stage of Parkinson’s disease and DLB) has identified a pattern with (amongst other regions), relatively increased hippocampus, and decreased occipital glucose metabolism [27, 28] with similarities to the alterations seen in DLB and PD [29] indicating that the pattern may be typical of LB disease. We found reductions in the occipital/MTL ratio in MCI-LB with more LB features, compared to controls, which in combination with the previous research suggests that this may be a useful measurement for identification of those with Lewy body disease.
We did not see any significant perfusion changes in MCI-AD compared to either the control group, or MCI-LB. Although several other reports have found perfusion differences in MCI-AD with ASL [8, 30, 31], others have not [32]. The extent to which hypoperfusion is demonstrated likely depends on disease severity, as well as the group homogeneity. Since all our MCI participants had to have some LB related symptoms (e.g. anosmia or visual disturbance), it may be that our MCI-AD group, whilst meeting standard diagnostic criteria, is more inclusive than those typically studied, and thus the perfusion values more varied than in a highly selected cohort. It could also be that the relatively small sample size of the study gave insufficient power to detect a difference.
As expected, we observed greater perfusion in the primary visual cortex in the eyes open vs eyes closed condition in all groups. In our paper [12] looking at glucose metabolism in early stage PD we had observed a reduced metabolism in the occipital lobe. The imaging in that study was performed with FDG injected in the eyes open state. We had hypothesised that in PD, increase in glucose metabolism on eyes opening might be diminished due to reduced engagement with the visual environment. In the results presented here, the change in perfusion between eyes open and closed did not differ between groups. Furthermore, occipital hypoperfusion in MCI-LB relative to the control group was observed in the eyes closed perfusion data (see Table 5). This implies that the occipital hypometabolism and hypoperfusion seen in Lewy body disease is not related to retinal changes which are seen in LB disease [13]. Since there also appears to be relatively little pathology seen in the primary visual cortex in Lewy body disease [33, 34], this suggests that the metabolism changes are secondary to altered connectivity with other brain regions.
Strengths of our study include the prospective design and consensus clinical assessment, along with the use of two imaging biomarkers (FP-CIT and MIBG), leading to strong confidence in the patient groups. We did not have specific biomarkers for AD, however, our MCI-AD group had negative FP-CIT and MIBG scans, both of which, individually, have good specificity for the diagnosis of DLB vs AD [38, 39] which gives strong support to the MCI-AD diagnosis. Limitations of our study include that the ASL technique is sensitive to head movement, and we had to exclude a number of participants due to poor quality CBF images. Other studies have also excluded similar proportions of scans due to poor image quality [3, 8]. We also used relative rather than absolute CBF, as we did not acquire a suitable reference image, however Dolui et al. [8] found no difference in overall discriminatory ability between relative and absolute CBF. Due to changes in the vascular system, it could be that both MCI-AD and MCI-LB have altered arterial transit time relative to controls [35]. The ASL imaging in this study was performed with a single fixed delay between the magnetic tagging of incoming blood and the acquisition of the image. This potentially leads to underestimation of perfusion if the delay is not well matched to the arterial transit time, however investigating this fully requires a long ASL protocol. It is possible that BOLD (blood oxygenation level dependent) changes may have influenced the ASL signal on eyes opening. However, we used a short echo time and background suppression, which have been found to minimize the influence of BOLD on pCASL [36]. ASL relies on subtraction of two sets of images (control and tag), with the tag images having inflowing blood magnetically labelled. It is possible that mismatch between the control and tag images could lead to magnetisation transfer effects [37] and thus macromolecule differences (eg aggregated pathological proteins) may potentially have contributed to the signal.
Overall, we found perfusion changes in MCI-LB to be similar to the hypoperfusion/hypometabolism patterns seen in DLB but consistent with the earlier stage of disease these appear to be less prominent. Thus we found few significant differences between MCI-LB and MCI-AD perfusion patterns, suggesting that ASL may be of limited utility diagnostically in mild cognitive impairment, though the medial occipital/MTL ratio might be of use and needs further exploration.
References
McKeith IG, Ferman TJ, Thomas AJ, Blanc F, Boeve B, Fujishiro H, Kantarci K et al (2020) Research criteria for the diagnosis of prodromal dementia with Lewy bodies. Neurology 94:743–755. https://doi.org/10.1212/WNL.0000000000009323
Sala A, Caprioglio C, Santangelo R, Vanoli EG, Iannaccone S, Magnani G, Perani D (2020) Brain metabolic signatures across the Alzheimer’s disease spectrum. Eur J Nucl Med Mol Imaging 47:256–269. https://doi.org/10.1007/s00259-019-04559-2
Nedelska Z, Senjem ML, Przybelski SA, Lesnick TG, Lowe VJ, Boeve BF, Arani A et al (2018) Regional cortical perfusion on arterial spin labeling MRI in dementia with Lewy bodies: associations with clinical severity, glucose metabolism and tau PET. NeuroImage Clin 19:939–947. https://doi.org/10.1016/j.nicl.2018.06.020
Fong TG, Inouye SK, Dai W, Press DZ, Alsop DC (2011) Association cortex hypoperfusion in mild dementia with Lewy bodies: a potential indicator of cholinergic dysfunction. Brain Imaging Behav 5:25–35. https://doi.org/10.1007/s11682-010-9108-x
Durcan R, Donaghy P, Osborne C, Taylor J-P, Thomas AJ (2019) Imaging in prodromal dementia with Lewy bodies: where do we stand? Int J Geriatr Psychiatry 34:635–646. https://doi.org/10.1002/gps.5071
Massa F, Arnaldi D, De Cesari F, Girtler N, Brugnolo A, Grazzini M, Bauckneht M et al (2019) Neuroimaging findings and clinical trajectories of Lewy body disease in patients with MCI. Neurobiol Aging 76:9–17. https://doi.org/10.1016/j.neurobiolaging.2018.12.001
Chiba Y, Fujishiro H, Iseki E, Kasanuki K, Sato K (2019) The cingulate island sign on FDG-PET vs. IMP-SPECT to assess mild cognitive impairment in Alzheimer’s disease vs dementia with Lewy bodies. J Neuroimaging 29:712–720. https://doi.org/10.1111/jon.12643
Dolui SL, Nasrallah Z, Detre IM, Wolk JA (2020) Arterial spin labeling versus 18F-FDG-PET to identify mild cognitive impairment. NeuroImage Clin 25:102146. https://doi.org/10.1016/j.nicl.2019.102146
Roquet D, Sourty M, Botzung A, Armspach J-P, Blanc F (2016) Brain perfusion in dementia with Lewy bodies and Alzheimer’s disease: an arterial spin labeling MRI study on prodromal and mild dementia stages. Alzheimers Res Ther 8:29. https://doi.org/10.1186/s13195-016-0196-8
Jia XL, Li Y, Liang K, Fu XP (2019) Precuneus dysfunction in Parkinson’s disease with mild cognitive impairment. Front Aging Neurosci 10:427. https://doi.org/10.3389/fnagi.2018.00427
O’Brien JT, Firbank MJ, Davison C, Barnett N, Bamford C, Donaldson C, Olsen K et al (2014) FDG-PET and perfusion SPECT in the diagnosis of Alzheimer’s disease and Lewy body dementias. J Nucl Med 55:1959–1965. https://doi.org/10.2967/jnumed.114.143347
Firbank MJ, Yarnall AJ, Lawson RA, Duncan GW, Khoo TK, Petrides GS, O’Brien JT et al (2017) Cerebral glucose metabolism and cognition in newly diagnosed Parkinson’s disease: ICICLE-PD study. Mov Disord 88:310–316. https://doi.org/10.1136/jnnp-2016-313918
Archibald NK, Clarke MP, Mosimann UP, Burn DJ (2009) The retina in Parkinson’s disease. Brain 132:1128–1145. https://doi.org/10.1093/brain/awp068
Donaghy PC, Taylor JP, O’Brien JT, Barnett N, Olsen K, Colloby SJ, Lloyd J et al (2018) Neuropsychiatric symptoms and cognitive profile in mild cognitive impairment with Lewy bodies. Psychol Med 45:2384–2390. https://doi.org/10.1017/S0033291717003956
Thomas AJ, Donaghy P, Roberts G, Colloby SJ, Barnett NA, Petrides G, Lloyd J et al (2019) Diagnostic accuracy of dopaminergic imaging in prodromal dementia with Lewy bodies. Psychol Med 49:396–402. https://doi.org/10.1017/S0033291718000995
Roberts G, Lloyd JJ, Kane JPM, Durcan R, Lawley S, Howe K, Petrides GS et al (2020) Cardiac 123I-MIBG normal uptake values are population-specific: results from a cohort of controls over 60 years of age. J Nucl Cardiol. https://doi.org/10.1007/s12350-019-01887-6
Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:270–279. https://doi.org/10.1016/j.jalz.2011.03.008
McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, Aarsland D et al (2017) Diagnosis and management of dementia with Lewy bodies. Fourth consensus report of the DLB Consortium. Neurology 89:88–100. https://doi.org/10.1212/WNL.0000000000004058
Firbank MJ, Minett T, O’Brien JT (2003) Changes in DWI and MRS associated with white matter hyperintensities in elderly subjects. Neurology 61:950–954. https://doi.org/10.1212/01.wnl.0000086375.33512.53
Eickhoff SB, Stephan KE, Mohlberg H, Grefkes C, Fink GR, Amunts K, Zilles K (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage 25:1325–1335. https://doi.org/10.1016/j.neuroimage.2004.12.034
Amunts K, Malikovic A, Mohlberg H, Schormann T, Zilles K (2000) Brodmann’s areas 17 and 18 brought into stereotaxic space—where and how variable? NeuroImage 11:66–84. https://doi.org/10.1006/nimg.1999.0516
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B et al (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15:273–289. https://doi.org/10.1006/nimg.2001.0978
Donaghy PC, Ciafone J, Durcan R, Hamilton CA, Barker S, Lloyd J, Firbank M et al (2020) Mild cognitive impairment with Lewy bodies: neuropsychiatric supportive symptoms and cognitive profile. Psychol Med. https://doi.org/10.1017/S0033291720002901
Caminiti SP, Sala A, Iaccarino L, Beretta L, Pilotto A, Gianolli L, Iannaccone S et al (2019) Brain glucose metabolism in Lewy body dementia: implications for diagnostic criteria. Alzheimers Res Ther 11:20. https://doi.org/10.1186/s13195-019-0473-4
Iizuka T, Iizuka R, Kameyama M (2017) Cingulate island sign temporally changes in dementia with Lewy bodies. Sci Rep 7:14745. https://doi.org/10.1038/s41598-017-15263-2
Gjerum L, Frederiksen KS, Henriksen OM, Law I, Anderberg L, Andersen BB, Bjerregaard W et al (2020) A visual rating scale for cingulate island sign on 18F-FDG-PET to differentiate dementia with Lewy bodies and Alzheimer’s disease. J Neurol Sci 410:116645. https://doi.org/10.1016/j.jns.2019.116645
Meles SK, Renken RJ, Janzen A, Vadasz D, Pagani M, Arnaldi D, Morbelli S et al (2018) The metabolic pattern of idiopathic REM sleep behavior disorder reflects early-stage Parkinson disease. J Nucl Med 59:1437–1444. https://doi.org/10.2967/jnumed.117.202242
Wu P, Yu H, Peng S, Dauvilliers Y, Wang J, Ge J, Zhang H et al (2014) Consistent abnormalities in metabolic network activity in idiopathic rapid eye movement sleep behaviour disorder. Brain 137:3122–3128. https://doi.org/10.1093/brain/awu290
Liguori C, Ruffini R, Olivola E, Chiaravalloti A, Izzi F, Stefani A, Pierantozzi M et al (2020) Cerebral glucose metabolism in idiopathic REM sleep behavior disorder is different from tau-related and alpha-synuclein-related neurodegenerative disorders: a brain [18F]FDG PET study. Parkinsonism Relat Disord 64:97–105. https://doi.org/10.1016/j.parkreldis.2019.03.017
Kim CM, Alvarado RL, Stephens K, Wey HY, Wang DJJ, Leritz EC, Salat DH (2019) Associations between cerebral blood flow and structural and functional brain imaging measures in individuals with neuropsychologically defined mild cognitive impairment. Neurobiol Aging 86:64–74. https://doi.org/10.1016/j.neurobiolaging.2019.10.023
Huang Q, Cao X, Chai X, Wang X, Xu L, Xiao C (2019) Three-dimensional pseudocontinuous arterial spin labeling and susceptibility-weighted imaging associated with clinical progression in amnestic mild cognitive impairment and Alzheimer’s disease. Medicine 98:e15972. https://doi.org/10.1097/MD.0000000000015972
Riederer I, Bohn KP, Preibisch C, Wiedemann E, Zimmer C, Alexopoulos P, Förster S (2018) Alzheimer disease and mild cognitive impairment: integrated pulsed arterial spin-labeling MRI and 18F-FDG-PET. Radiology 288:198–206. https://doi.org/10.1148/radiol.2018170575
Khundakar AA, Hanson PS, Erskine D, Lax NZ, Roscamp J, Karyka E, Tsefou E et al (2016) Analysis of primary visual cortex in dementia with Lewy bodies indicates GABAergic involvement associated with recurrent complex visual hallucinations. Acta Neuropathol Commun 4:66. https://doi.org/10.1186/s40478-016-0334-3
Harding AJ, Broe GA, Halliday GM (2002) Visual hallucinations in Lewy body disease relate to Lewy bodies in the temporal lobe. Brain 125:391–403. https://doi.org/10.1093/brain/awf033
Suo X, Lei D, Cheng LL, Zuo P, Wang DJJ, Huang X, Lui S et al (2018) Multidelay multiparametric arterial spin labeling perfusion MRI and mild cognitive impairment in early stage Parkinson’s disease. Hum Brain Mapp 40:1317–1327. https://doi.org/10.1002/hbm.24451
Warnock G, Özbay PS, Kuhn FP, Nanz D, Buck A, Boss A, Rossi C (2017) Reduction of BOLD interference in pseudo-continuous arterial spin labeling: towards quantitative fMRI. J Cereb Blood Flow Metab 38:847–856. https://doi.org/10.1177/0271678X17704785
Alsop DC, Detre JA, Golay X, Günther M, Hendrikse J, Hernandez-Garcia L, Lu H et al (2014) Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: a consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med 73:102–116. https://doi.org/10.1002/mrm.25197
Kane JPM, Roberts G, Petrides GS, Lloyd JJ, O’Brien JT, Thomas AJ (2019) 123I-MIBG scintigraphy utility and cut-off value in a clinically representative dementia cohort. Parkinsonism Relat Disord 62:79–84. https://doi.org/10.1016/j.parkreldis.2019.01.024
McKeith I, O’Brien J, Walker Z, Tatsch K, Booij J, Darcourt J, Padovani A et al (2007) Sensitivity and specificity of dopamine transporter imaging with I-123-FP-CIT SPECT in dementia with Lewy bodies: a phase III, multicentre study. Lancet Neurol 6:305–313. https://doi.org/10.1016/S1474-4422(07)70057-1
Acknowledgements
The authors would like to thank the staff of the NIHR Clinical Research Network North East and Cumbria for their invaluable support with participant recruitment to this study.
Funding
This work was supported by Alzheimer’s Research UK (Grant number ARUK-PG3026-13) and the NIHR Newcastle Biomedical Research Centre. GE Healthcare provided funding for FP-CIT imaging for this investigator-led study. RD—No conflicts in relation to this work. RD has received an educational travel grant from Britannia. JOB has acted as a consultant, been a recipient of grant support and received honoraria for talks for GE Healthcare. Outside of this work JOB has acted as a consultant for TauRx, Axon, Eisai, Roche and GE Healthcare and received grant funding from Alliance Medical and Merck. GR has received honoraria from GE Healthcare for delivering educational workshops on FP-CIT imaging. JPT has received honoraria from GE Healthcare for delivering educational presentations on Lewy body disease. Outside of this work JPT has acted as a consultant for Kyowa Kirin, Heptares Sosei, and received grant funding from Heptares Sosei. PCD has received grant funding form Alzheimer’s Research UK and Alzheimer’s Society. AJT has received support for investigator-led studies and honoraria from GE Healthcare.
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MJF, LMA, SB, JC, CH, SL, JJL, declare that they have no conflicts of interest to disclose.
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Written informed consent was obtained from all participants prior to study participation and the study was approved by the National Research Ethics Service Committee North East—Newcastle & North Tyneside 2 (Research Ethics Committee Identification Number 15/NE/0420).
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Firbank, M.J., O’Brien, J.T., Durcan, R. et al. Mild cognitive impairment with Lewy bodies: blood perfusion with arterial spin labelling. J Neurol 268, 1284–1294 (2021). https://doi.org/10.1007/s00415-020-10271-1
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DOI: https://doi.org/10.1007/s00415-020-10271-1