Abstract
Objectives: A meta-analysis of the extent, nature and pattern of memory performance in behavioral variant frontotemporal dementia (bvFTD). Multiple observational studies have challenged the relative sparing of memory in bvFTD as stated in the current diagnostic criteria. Methods: We performed a meta-analytic review covering the period 1967 to February 2017 of case-control studies on episodic memory in bvFTD versus control participants (16 studies, 383 patients, 603 control participants), and patients with bvFTD versus those with Alzheimer’s disease (AD) (20 studies, 452 bvFTD, 874 AD). Differences between both verbal and non-verbal working memory, episodic memory learning and recall, and recognition memory were examined. Data were extracted from the papers and combined into a common metric measure of effect, Hedges’ d. Results: Patients with bvFTD show large deficits in memory performance compared to controls (Hedges’ d –1.10; 95% confidence interval [CI] [–1.23, –0.95]), but perform significantly better than patients with AD (Hedges’ d 0.85; 95% CI [0.69, 1.03]). Learning and recall tests differentiate best between patients with bvFTD and AD (p<.01). There is 37–62% overlap in test scores between the two groups. Conclusions: This study points to memory disorders in patients with bvFTD, with performance at an intermediate level between controls and patients with AD. This indicates that, instead of being an exclusion criterion for bvFTD diagnosis, memory deficits should be regarded as a potential integral part of the clinical spectrum. (JINS, 2018, 24, 593–605)
Keywords: Episodic memory, Learning, Recall, Alzheimer’s disease, bvFTD; Meta-analysis
INTRODUCTION
Frontotemporal dementia (FTD) is an early-onset dementia characterized by a heterogeneous clinical presentation including behavioral changes, frontal-executive deficits, and/or language disorders (Seelaar, Rohrer, Pijnenburg, Fox, & van Swieten, 2011), caused by pathophysiological damage in the frontal and temporal lobes (McKhann et al., 2001; Rohrer & Rosen, 2013). Behavioral variant FTD (bvFTD) is the most common clinical syndrome in the spectrum and is associated with deficits in social cognition and executive functioning. Patients with bvFTD frequently exhibit impaired theory of mind, emotional processing, fluency, planning, set shifting, and working memory (e.g., Bora, Walterfang, & Velakoulis, 2015; Hornberger, Piquet, Kipps, & Hodges, 2008; van den Berg, Jiskoot, Grosveld, van Swieten, & Papma, 2017). Day-to-day memory is thought to be relatively preserved in the early stage of the disease (Rascovsky et al., 2011; Rosen et al., 2002), with severe memory impairment as exclusion criterion. However, many patients with bvFTD have self-reported or caregiver reported memory problems (Hornberger & Piguet, 2012) and some patients even manifest severe episodic memory disorders, even at initial presentation (e.g., Hornberger, Piguet, Graham, Nestor, & Hodges, 2010; Shi et al., 2005).
Systematic investigations of episodic memory functioning in patients with bvFTD are scarce (Hornberger & Piguet, 2012) and inconsistent, with some studies revealing no differences between bvFTD and Alzheimer’s disease (AD) memory performance (e.g., Gregory, Orrell, Sahakian, & Hodges, 1997; Hodges et al., 1999; Walker, Meares, Sachdev, & Brodaty, 2005), and others demonstrating a relative sparing of memory performance in bvFTD compared to AD (e.g., Frisoni et al., 1995; Pachana, Boone, Miller, Cummings, & Berman, 1996; Thompson, Stopford, Snowden, & Neary, 2005). Studies showing memory impairment in patients with bvFTD suggest poor organization and a lack of efficient learning and retrieval strategies as causes (i.e., dysexecutive syndrome), rather than deficits in memory consolidation per se (Blumenfeld & Ranganath, 2007; Pasquier, Grymponprez, Lebert, & Van der Linden, 2001; Wang & Miller, 2007).
In line with the latter, there are indications that patients with bvFTD and AD will not differ on delayed memory testing, but that they will benefit more from cued or recognition memory formats (e.g., Glosser, Gallo, Clark, & Grosmann, 2002). However, specific differential memory processes have, as of yet, not been studied consistently in bvFTD. Involvement of the hippocampal structures, as found in neuroimaging studies of both FTD and AD, suggests that amnesia in bvFTD may be due to real defects in memory storage and consolidation processing (e.g., Hornberger et al., 2012; Lindberg et al., 2012; Munoz-Ruiz et al., 2012; Papma et al., 2013; de Souza et al., 2013). For example, Papma and colleagues (2013) showed lower perfusion in the right temporal lobe in amnesic patients with FTD compared to non-amnesic patients with FTD (Papma et al., 2013). The authors argue that amnesic patients with FTD might represent an anatomical subtype of FTD, with prominent right temporal lobe involvement.
A possible explanation for these contrasting results is the lack of pathological confirmation in most studies. Some have included patients with possible or probable FTD, whereas only a few have looked at memory disorder in pathological confirmed FTD (e.g., post-mortem, genotyping, or excluding AD biomarkers)(Rascovsky et al., 2011). Those studies that have looked at memory disorder in pathological confirmed FTD show clear episodic memory deficits (e.g., Bertoux et al., 2014; Graham et al., 2005; Hornberger et al., 2011). For the differential diagnosis between bvFTD and AD, it is important that the presence of memory impairment is not exclusively related to AD, but that it may also be included in the diagnosis of bvFTD. Clarifying the patterns of specific memory processes in both groups could help differentiate AD and bvFTD.
The primary aim of the present meta-analysis was to quantify the nature and extent of memory impairment in patients with bvFTD compared to AD and control participants. We examined the proposed contrasts in differential memory processes (working memory, episodic memory learning and recall, and recognition memory) to provide further insights into the pattern of memory impairment in bvFTD. In addition, we tested the occurrence of differences in memory disorders between the studies, including possible, probable or definite diagnoses. By quantifying the nature and extent of bvFTD memory impairment, we provide insights into how memory performance in clinical evaluation can help in differential diagnostics between patients with bvFTD and AD.
METHODS
Identification of Studies
The meta-analysis included all published studies that provide an estimate of memory performance in patients with bvFTD. Studies were selected by means of a Medline literature search covering the period April 1967 to February 18, 2017. Key search terms were (“frontotemporal dementia” or “frontal dementia” or “Pick’s disease” or “frontotemporal lobe dementia” or “frontal lobe dementia” or “dementia of the frontal type”) in combination with (“memory” or “learning” or “cognition” or “neuropsychology” and its derivatives) in full or truncated versions. Titles and abstracts were scanned and potentially eligible papers were collected in full-text.
In addition, lists of references of these studies were examined for additional papers. To be selected for the meta-analysis, a study had to meet the following inclusion criteria: (1) the study was an original English language article; (2) memory performance was assessed in both a bvFTD patient group and healthy control participants or an AD patient group, all with a group size of n ≥ 10 and matched for demographic variables age and level of education; (3) raw test scores were presented for the patient and the control participant groups (i.e., means and standard deviations).
To prevent including the same cohorts of patients across studies, of all the eligible studies (bvFTD vs. healthy controls 26 studies; and bvFTD vs. AD 24 studies), we included the study that had the largest sample and/or included the most detailed memory assessment per cohort for each center. If studies did not specify from which cohort patients were included, only one study per center was selected. Sixteen validated memory measurements were included (see Tables 1 and 2) with tasks typically involving the presentation of either verbal or visual information in which participants have several trials to memorize the presented items, including immediate and delayed recall trials. Our study was conducted in accordance with the Helsinki Declaration and followed the PRISMA guidelines for systematic reviews and meta-analyses (Moher, Liberati, Tetzlaff, & Altman, 2009). Since we only reviewed previously published data, no additional medical ethical approval was necessary.
Table 1.
n | Age | Gender (% female) | Education (yrs) | MMSE | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Study | F | C | F | C | F | C | F | C | F | C | Dementia diagnosis | Memory measurements |
Mandelli et al. (2016) | 23 | 34 | 62.9 (6.5) | 62.3 (6.6) | 43 | 65 | 16.1 (2.6) | 16.4 (2.1) | 26.6 (3.5) | 28.4 (1.2) | Rascovsky et al. (2011) | CVLT-SF, RCFT, digit span |
Balconi et al. (2015) | 16 | 20 | 65.6 (6.9) | 68.6 (4.5) | 13 | 50 | 7 (2.2) | 7.8 (2.7) | 25.3 (3.3) | 28.6 (1) | Neary et al. (1998) | Logical memory, RCFT |
Hardy et al. (2015) | 24 | 24 | 64.6 (7.7) | 63.8 (7.8) | 17 | 63 | 14.8 (3.8) | 15.3 (2.9) | 24 (5.7) | 30 (0.6) | Rascovsky et al. (2011) | RMT F/W, digit span |
Tu et al. (2015) | 24 | 23 | 64.7 (9.3) | 68 (3.4) | 26 | 52 | 11.8 (3.1) | 13.3 (3.1) | N.S | N.S. | Rascovsky et al. (2011) | RAVLT, RCFT, digit span |
Smits et al. (2015) | 20 | 112 | 63 (8) | 61 (8) | 49 | 56 | 5.0 (1.3) a | 5.5 (1.1) a | 26 (3) | 28 (1) | Rascovsky et al. (2011) | RAVLT, VAT |
Lemos et al. (2014) | 32 | 32 | 68.6 (1.2) | 68.6 (1.3) | 31 | 31 | 6.9 (0.8) | 7 (0.9) | 26.9 (0.4) | 29.1 (0.2) | Rascovsky et al. (2011) | FCSRT, digit span, BVMT-R |
Bertoux et al. (2014) | 44 | 22 | 66.9 (8.3) | 66.7 (9.3) | 43 | 41 | 10.8 (3.9) | 12.8 (2.4) | 23.1 (3.6) | 29 (2.6) | Rascovsky et al. (2011) | FCSRT |
Virani et al. (2013) | 14 | 17 | 65.3 (8.1) | 62.4 (10.8) | 25 | 28 | 11.3 (3.0) | 15.1 (3.5) | 20.6 (6.9) | 27.1 (4.2) | Rascovsky et al. (2011) | prose memory |
Ricci et al. (2012) - Italian | 15 | 28 | 65.7 (8.6) | 68.5 (6.7) | 40 | 61 | 10.3 (3.2) | 11.4 (2.8) | 26.6 (3.4) | N.S. | Neary et al. (1998) | RAVLT |
Ricci et al. (2012) - Australian | 11 | 15 | 59.8 (9) | 60.2 (5.8) | 55 | 60 | 12.6 (2.4) | 13.5 (3.0) | 26.5 (2.3) | N.S. | Neary et al. (1998) | RAVLT |
Stopford et al. (2012) | 26 | 26 | 64 (6) | 59 (13.5) | 50 | 69 | N.S. | N.S. | 23 (6) | N.S. | Neary et al. (1998) | Logical memory, digit span |
Giovagnoli et al. (2008) | 40 | 91 | 61.1 (10.7) | 62.3 (10) | 38 | 55 | 8.9 (4.1) | 11.3 (4.4) | N.S | N.S. | Neary et al. (1998) | The short story, RCFT, digit span, Corsi cube span |
Piolino et al. (2007) | 13 | 21 | 67.2 (7.9) | 69.9 (8.6) | N.S. | N.S. | N.S. | N.S. | 24.8 (4) | N.S. | Neary et al. (1998) | Grober & Buscke Test, digit span |
Torralva et al. (2007) | 20 | 10 | 67.2 (8.1) | 63.5 (5.8) | 45 | 60 | 12.8 (5) | 13.5 (2.7) | 27.9 (1.6) | 29.5 (0.8) | Neary et al. (1998) | Logical memory, digit span |
Wicklund et al. (2006) | 20 | 48 | 61.9 (8.4) | 72.1 (7.2) | 30 | 79 | 14.7 (2.9) | 15.2 (2.7) | 23.8 (4.7) | 29.2 (0.9) | Neary et al. (1998) | WMS-R, CERAD |
Clague et al. (2005) | 11 | 41 | 60.3 (6.9) | 64.9 (6.1) | N.S. | N.S. | 12.4 (1.8) | 12.8 (2.2) | 27.1 (2.0) | N.S. | Neary et al. (1998) | Digit span, logical memory, RCFT |
Gregory et al. (2002) | 19 | 16 | 58.6 (6.9) | 57.1 (5.1) | 16 | 50 | 11.6 (2.2) | 12.1 (1.5) | 26.6 (3.2) | 28.7 (1) | Neary et al. (1998) | Digit span, logical memory, RCFT |
F=bvFTD; C=control participants; MMSE=Mini Mental State Examination; CVLT-SF=California Verbal Learning Test – Short version; RCFT=Rey Complex Figure Test; RMT F/W=Recognition Memory Test Words/Faces; RAVLT=Rey Auditory Verbal Learning Test; VAT=Visual Association Test; FCSRT=Free and Cued Selective Reminding Test; BVMT-R=Brief Visuospatial Memory Test- Revised; WMS-R=Wechsler Memory Scale – Revised; CERAD=Consortium to Establish a Registry for Alzheimer’s Disease; N.S.=not specified.
According to the Verhage system.
Table 2.
n | Age | Gender (% female) | Education (yrs) | MMSE | Dementia diagnosis | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Study | F | A | F | A | F | A | F | A | F | A | F | A | Memory measurements |
Balconi et al. (2015) | 16 | 14 | 65.6 (6.9) | 72.2 (6.9) | 13 | 71 | 7 (2.2) | 7.2 (3.8) | 25.3 (3.3) | 21.1 (4.2) | Neary et al. (1998) | NINCDS-ADRDA | Logical memory, RCFT |
Smits et al. (2015) | 20 | 199 | 63 (8) | 65 (8) | 49 | 44 | 5.0 (1.3)a | 4.9 (1.2)a | 26 (3) | 22 (4) | Rascovsky et al. (2011) | NINCDS-ADRDA | RAVLT, VAT |
Tu et al. (2015) | 24 | 23 | 64.7 (9.3) | 68 (3.4) | 26 | 52 | 11.8 (3.1) | 13.3 (3.1) | N.S. | N.S. | Rascovsky et al. (2011) | NINCDS-ADRDA | RAVLT, RCFT, digit span |
Barsuglia et al. (2014) | 16 | 18 | 61.1 (10.6) | 59.2 (4.9) | 50 | 67 | 15.6 (2.3) | 16.2 (2.3) | 24.6 (4.3) | 24.4 (4.6) | Rascovsky et al. (2011) | NINCDS-ADRDA | Digit span, logical memory RCFT |
Lemos et al. (2014) | 32 | 32 | 68.6 (1.2) | 69.7 (1.3) | 31 | 47 | 6.9 (0.8) | 6.9 (0.9) | 26.9 (0.4) | 21.2 (0.7) | Rascovsky et al. (2011) | NINCDS-ADRDA | FCSRT, digit span, BVMT-R |
Perri et al. (2014) | 21 | 22 | 64.7 (11.5) | 66.8 (3.5) | 55 | 48 | 11.2 (3.4) | 10.5 (5.4) | 23.4 (2.8) | 23.2 (1.9) | Neary et al. (1998) | NINCDS-ADRDA | 15 word list recall, prose memory |
Bertoux et al. (2014) | 44 | 56 | 66.9 (8.3) | 66.4 (9.4) | 43 | 57 | 10.8 (3.9) | 12.3 (3.5) | 23.1 (3.6) | 21.9 (4.4) | Rascovsky et al. (2011) | N.S. | FCSRT |
Ricci et al. (2012) - Italian | 15 | 39 | 65.7 (8.6) | 68.3 (7.7) | 40 | 54 | 10.3 (3.2) | 12.1 (3.2) | 26.6 (3.4) | 23.5 (3.7) | Neary et al. (1998) | NINCDS-ADRDA | RAVLT |
Ricci et al. (2012) - Australian | 11 | 17 | 59.8 (9) | 65.3 (7.8) | 55 | 59 | 12.6 (2.4) | 12.3 (3.5) | 26.5 (2.3) | 24.4 (3.5) | Neary et al. (1998) | NINCDS-ADRDA | RAVLT |
Mendez & Shapira (2011) | 12 | 12 | 63.4 (4.4) | 64.6 (4.8) | 50 | 50 | 14.5 (4.1) | 14.2 (4.3) | 24.3 (2.8) | 22.6 (4.1) | Rascovsky et al. (2011) | N.S. | Digit span, CERAD |
Giovagnoli et al. (2008) | 40 | 77 | 61.1 (10.7) | 65.5 (9.9) | 38 | 63 | 8.9 (4.1) | 8.9 (4.9) | N.S. | N.S. | Neary et al. (1998) | NINCDS-ADRDA | The short story, RCFT, digit span, Corsi cube span |
Heidler-Gary et al. (2007) | 25 | 30 | 64.8 (9.9) | 72.6 (8.8) | N.S. | N.S. | N.S. | N.S. | N.S. | 18.9 (5.4) | Neary et al. (1998) | NINCDS-ADRDA | RAVLT |
Luzzi et al. (2007) | 11 | 14 | 64 (7) | 71 (8) | 27 | 50 | 10 (2) | 10(4) | 24 (6) | 24 (2) | Neary et al. (1998) | NINCDS-ADRDA | Digit span, Hopkins test, RAVLT, RCFT |
Castiglioni et al. (2006) | 33 | 85 | 69.8 (8.8) | 74.4 (7.4) | 33 | 64 | 8 (4.8) | 7.3 (4.0) | 20.8 (3.8) | 19.4 (3) | Neary et al. (1998) | NINCDS-ADRDA | Story memory, RCFT, Corsi span, digit span |
Wicklund et al. (2006) | 20 | 33 | 61.9 (8.4) | 72.6 (9.6) | 40 | 67 | 14.7 (2.9) | 14.2 (2.8) | 23.8 (4.7) | 23.6 (4) | Neary et al. (1998) | NINCDS-ADRDA | WMS-R, CERAD |
Clague et al. (2005) | 11 | 14 | 60.3 (6.9) | 63.8 (6.9) | N.S. | N.S. | 12.4 (1.8) | 11 (1.2) | 27.1 (2.0) | 24.5 (2) | Neary et al. (1998) | NINCDS-ADRDA | Digit span, logical memory, RCFT |
Glosser et al. (2002) | 12 | 30 | 68.8 (10.1) | 73.7 (6.8) | 67 | 47 | 15.1 (3.1) | 14.8 (3.2) | 23.8 (2.3) | 23.6 (4.6) | Neary et al. (1998) | NINCDS-ADRDA | CVLT, BFLT |
Gregory et al. (2002) | 19 | 12 | 58.6 (6.9) | 66.5 (8.9) | 16 | 50 | 11.6 (2.2) | 14.4 (4) | 26.6 (3.2) | 27.1 (1.7) | Neary et al. (1998) | NINCDS-ADRDA | Digit span, logical memory, RCFT |
Siri et al. (2001) | 14 | 14 | 74.8 (7.3) | 69.6 (7.4) | N.S. | N.S. | 5.3 (2.8) | 7.2 (2.9) | 17.8 (4.2) | 20.3 (5.8) | Neary et al. (1998) | NINCDS-ADRDA | Digit span, Corsi block span Story memory, RCFT |
Binetti et al. (2000) | 44 | 121 | 66.9 (9.2) | 70.6 (8.5) | 41 | 62 | 14.1 (3.5) | 13.1 (3.5) | N.S. | N.S. | DSM-IV, ICD-10 | N.S. | Story memory, figure recall, BVRT |
Gregory et al. (1997) | 12 | 12 | 63.6 | 71.1 | N.S. | N.S. | 11.7 | 9.9 | 25.3 | 24.1 | Neary et al. (1998) | NINCDS-ADRDA | Story memory, RCFT, Corsi block span, digit span |
Note. Abbreviations as in Table 1.
F=bvFTD; A=AD; MMSE=Mini Mental State Examination; CVLT-SF=California Verbal Learning Test−Short version; RCFT=Rey Complex Figure Test; RMT F/W=Recognition Memory Test Words/Faces; RAVLT=Rey Auditory Verbal Learning Test; VAT=Visual Association Test; FCSRT=Free and Cued Selective Reminding Test; BVMT-R=Brief Visuospatial Memory Test- Revised; WMS-R=Wechsler Memory Scale−Revised; CERAD=Consortium to Establish a Registry for Alzheimer’s Disease; BVRT=Benton Visual Retention Test; BFLT=Biber Figure Learning Test; N.S.=not specified.aAccording to the Verhage system.
Data Synthesis and Analysis
Effect sizes were calculated for the difference in test scores between (1) patients with bvFTD and healthy control participants, and (2) patients with bvFTD and AD. We used Hedges’ d (the standardized difference between the groups) to estimate effect size (Hedges & Olkins, 1985). We chose Hedges’ d instead of Cohen’s d or Hedges’ g as it corrects for bias due to small sample sizes (Hedges & Olkins, 1985). The direction of the effect size was negative if the performance of the bvFTD patient group was worse than the control or AD patient group. In the meta-analysis, an overall d value was calculated, expressing the magnitude of associations across studies weighted for sample size (Hedges & Olkin, 1985).
According to Cohen’s nomenclature (1988), d>0.80 indicates a large difference. A bias-corrected 95% confidence interval (CI) was calculated based on the standard error. The percentage of overlap in test scores between groups was also reported according to Zakzanis’ calculations (2001); d=0 equates to 100% overlap, d=1.0 equates to 45% overlap and d=3.0 equates to less than 5% overlap in group scores. In addition, the overall effect size was used in a random effects model to determine the total heterogeneity of effect sizes (Q T) and tested against the χ2 distribution with n-1 degrees of freedom (Hedges & Olkin, 1985). A significant Q T means that the variance of the effect sizes is greater than expected from sampling errors and suggests that other explanatory variables should be investigated.
The differences between the overall effect sizes of the memory processes (working memory, episodic memory learning recall, and recognition memory) were examined with the Q-statistic for heterogeneity. This procedure is analogous to analysis of variance, where a difference among group means is determined. We partitioned the total heterogeneity Q T in Q M, which is the variation in effect sizes explained by the model, and Q E, which is the residual error variance not explained by the model. Q M is thus a description of the difference among group cumulative effect sizes, and a significant Q M suggests a difference between the overall effect sizes for the different memory processes (Hedges & Olkin, 1985). The fail-safe number was computed to explore the robustness of the results to publication bias. The fail-safe number of studies N R provides an estimation of how many non-significant or missing studies would be needed to render the observed meta-analytical results non-significant (Rosenthal’s method: α<0.05; Rosenthal & DiMatteo, 2001).
All analyses were performed in MetaWin 2.0 (Rosenberg, Adams, & Gurevitch, 2000). Data for the different memory processes were separately included in the analysis. In cases where multiple measures of the same cognitive construct were provided (e.g., ≥ 2 retrieval measures in a single study), the effect sizes were averaged to give each construct the same weight in the analysis. To check for differences in effect sizes between verbal and visual memory measurements, effect sizes for both dimensions were calculated; these were found not to differ significantly. This made it possible to include both verbal and visual memory measurements in the same analysis.
One study, Clague, Dudas, Thompson, Graham, and Hodges (2005), reported two different experiments. As it was unclear whether the same bvFTD sample was used in both experiments, only data from the first experiment were included in the meta-analysis. Ricci, Graef, Blundo, and Miller (2012) included an Italian and Australian bvFTD patient sample; these were included as two separate studies. Wicklund, Johnson, Rademaker, Weitner, and Weintraub (2006) and Lemos, Duro, Simoes, and Santana (2014) reported standard errors instead of standard deviations. We calculated the standard deviations based on the known confidence intervals and degrees of freedom.
The meta-analysis was performed in four consecutive steps. First, the overall effect size for patients with bvFTD versus control participants was calculated. Second, overall effect sizes for the four identified types of memory processes were calculated and compared between patients with bvFTD and controls. Third, the overall effect size for patients with bvFTD versus AD was calculated. Lastly, overall effect sizes for the four memory processes were calculated and compared between patients with bvFTD and AD.
Six pairwise comparisons were conducted between the four different types of memory processes. To check for the effect of differences in demographic features and dementia criteria between groups of studies on memory performance, additional analyses were performed with the demographic variables (age, education, gender, Mini Mental State Examination [MMSE]), type of bvFTD dementia criteria (Neary et al., 1998 or Rascovsky et al., 2011), and type of diagnosis (possible, probable, definite, mixed, or unknown) as categorical moderators. Rascovsky et al. (2011) revised the publication of consensus criteria by Neary et al. (1998) due to limitations. Among these were the ambiguity of behavioral descriptors, the inflexibility in applying the criteria (i.e., all five core features were required to manifest), and the insensitivity of the criteria in the early stages of the disease. The new criteria provide significant greater sensitivity (86%) than the 1998 criteria (53%). Age, education, percentage females, and MMSE were categorized as being either high or low, based on the median.
RESULTS
In total, 16 studies comparing patients with bvFTD to healthy control participants and 20 studies comparing patients with bvFTD to patients with AD were included in the meta-analysis (Figure 1). Of these, 10 were included in both analyses as they included both a healthy control group and patients with AD. Tables 1 and 2 display the characteristics of these studies.
Memory Performance in Patients With bvFTD versus Healthy Control Participants
Overall memory performance in bvFTD versus healthy controls
In total, 383 patients with bvFTD and 603 controls from 16 studies were included in the meta-analysis (Table 1). The overall weighed effect size for patients versus controls was –1.10 (95% CI [–1.23, –0.95]); % overlap=41.1 (Figure 2), indicating that patients performed significantly worse on overall memory performance than the controls. The test for heterogeneity was not significant (Q T=47.22; p=.34), suggesting that the variance among effect sizes was not greater than that expected by sampling error. The fail-safe number of studies was 4209.3, indicating that at least 4209 unpublished null-findings were needed to render the effects on memory statistically non-significant. It is unlikely that this number of unpublished studies with null effects relative to the published studies exists.
Working memory, learning, recall, and recognition memory in patients with bvFTD versus healthy controls
Working memory was assessed in eight studies and had an overall effect size of –0.83 (95% CI [–0.99, –0.63]); % overlap=48.4–52.6. Episodic memory learning was assessed in 14 studies with an overall effect size of –1.22 (95% CI [–1.50, –0.91]); % overlap 34.7–37.8. Episodic memory recall was assessed in 16 studies and showed an overall effect size of –1.15 (95% CI [–1.32, –0.95]); % overlap=37.8–41.1. Recognition memory was assessed in seven studies showing an overall effect size of –1.08 (95% CI [–1.49, –0.77]); % overlap=41.1–44.6. These effect sizes indicate worse performance on all memory processes in patients with bvFTD compared to controls. Despite a trend toward larger effect sizes for episodic memory learning and recall compared to working and recognition memory, the effect sizes were homogeneous, thereby indicating no statistically significant difference between the effect sizes of the four types of memory processes (Q M=4.32; p=.23).
Memory Performance in Patients With bvFTD versus AD
Overall memory performance in bvFTD versus AD
A total of 452 patients with bvFTD and 874 with AD were included in the meta-analysis (Table 2). The overall weighed effect size for bvFTD versus AD was 0.85 (95% CI [0.69, 1.03]); % overlap=48.4–52.6. Patients with AD performed significantly worse than patients with bvFTD on overall memory performance (Figure 3). The heterogeneity test was significant (Q T=96.78; p<.01), indicating a possible moderating structure to the model (e.g., separate memory processes). The fail-safe number of studies was 3133.2, indicating that at least 3133 unpublished null-findings were needed to render the effects on memory statistically non-significant. It is unlikely that this number of unpublished studies with null effects relative to the published studies exists.
Working memory, learning, recall, and recognition memory in patients with bvFTD versus AD
Working memory was assessed in 11 studies with an overall effect size of 0.06 (95% CI [–0.12, –0.24]; % overlap>92.3). Episodic memory learning was assessed in 15 studies with an overall effect size of 1.00 (95% CI [0.78, 1.26]); % overlap=44.6. Episodic memory recall was assessed in 20 studies showing an overall effect size of 1.22 (95% CI [1.02, 1.51]); % overlap=37.8. Recognition memory was assessed in 5 studies with an overall effect size of 0.66 (95% CI [0.43, 0.87]); % overlap=57–61.8. These effect sizes indicate worse performance on learning and recall tests in patients with AD compared to those with bvFTD. AD patients had a slightly worse performance for recognition memory, but no differences in working memory was seen between patient groups.
This is corroborated by the heterogeneous Q-statistic results, indicating statistically significant differences between the effect sizes of the four memory processes (Q M=43.87; p<.01). Six pairwise comparisons showed significant differences between episodic memory recall and recognition memory (Q M=4.87; p=.027), between episodic memory recall and working memory (Q M=40.86; p<.01), between episodic memory learning and working memory (Q M=27.50; p<.01), and between working memory and recognition memory (Q M=7.93; p<.01).
Moderator Variables
Patients with bvFTD versus control participants
The heterogeneity test for the bvFTD versus control studies showed no differences in effect sizes between older versus younger patients (Q M=1.11; p=.29), high-educated versus low-educated (Q M=0.81; p=.37), high versus low percentage of females (Q M=0.03; p=.85), and high versus low overall MMSE scores (Q M=3.58; p=.058). In addition, no significant differences were found in effect sizes between studies using different dementia criteria (Neary et al., 1998 or Rascovsky et al., 2011) (Q M=1.59; p=.21), or type of diagnosis (probable, definite, mixed, or unknown) (Q M=2.95; p=.39).
Patients with bvFTD versus AD
The heterogeneity test showed no differences in effect sizes between bvFTD versus AD studies with older versus younger (Q M=0.10; p=.75), high-educated versus low-educated (Q M =1.19, p=.28), high versus low percentage of females (Q M=0.00; p=.99), high versus low MMSE score (Q M=0.07; p=.79). Furthermore, no differences were found based on type of dementia criteria used (Rascovsky et al., 2011, Neary et al., 1998 or DSM-IV/ICD-10) (Q M=1.46; p=.48), or type of diagnosis (possible, probable, definite, mixed or unknown) (Q= 3.83, p=.43).
DISCUSSION
In this study, we conducted a meta-analytic review of memory in patients with bvFTD, to explore the extent, nature, and exact pattern of performance in these patients. The results showed large differences in memory performance between patients with bvFTD and controls and between patients with bvFTD and AD. This shows that patients with bvFTD perform at an intermediate level between healthy control participants and patients with AD. Nonetheless, patients with bvFTD show severe memory impairments across studies. Secondary analyses reveal significant differences in the four types of memory processes (i.e., working memory, episodic memory learning and recall, and recognition memory) when comparing bvFTD to AD. Learning and recall tests were found to be most discriminative, with recognition and working memory showing smaller to no discriminative power. This suggests that the patient groups can best be differentiated using learning and recall trials.
Our results are in line with previous studies reporting impaired memory in patients with bvFTD (e.g., Pennington, Hodges, & Hornberger, 2011; Simons et al., 2002), and those showing that patients with AD experience even greater memory problems (e.g., Frisoni et al., 1999; Galton et al., 2001; Hodges et al., 1999; Kramer et al., 2003; Kertesz, Davidson, McCabe, & Munoz, 2003; Lee, Rahman, Hodges, Sahakian, & Graham, 2003; Mathuranath, Nestor, Berrios, Rakowicz, & Hodges, 2000; Pachana et al., 1996; Pasquier et al., 2001; Perry & Hodges, 2000; Souliez, Pasquier, Lebert, Leconte, & Petite, 1996) with delayed memory testing being the most discriminative (e.g., Hutchinson & Mathias, 2007; Pasquier et al., 2001).
However, our results contrast with those of other studies reporting similar memory impairment in patients with bvFTD and AD (e.g., Hornberger et al., 2010; Pennington et al., 2011; Ranjith, Mathuranath, Sharma, & Alexander, 2010). Some of these authors argue for similar consolidation problems in patients with bvFTD and AD as damage to the hippocampal structures was visible in both groups (e.g., Barnes et al., 2006). Others theorize a selective retrieval disorder in patients with bvFTD, potentially caused by attention and executive problems (Glosser et al., 2002). They state that, because of disrupted attentional and executive control processes, patients with bvFTD may have difficulties generating strategies to encode and retrieve data from memory in an organized way (Glosser et al., 2002; Zakzanis, 1998).
The idea is that patients with bvFTD and AD do not differ in free recall measures, but that those with bvFTD would benefit from cued or recognition memory formats (Glosser et al., 2002). However, our results show a large difference in overall memory performance between patients with bvFTD and AD, with learning and recall tests being the most discriminative. Surprisingly, recognition memory yielded a smaller difference between the patient groups, suggesting that patients with bvFTD do not specifically benefit more from cued memory formats than those with AD. A possible explanation may be the limited number of studies including a recognition memory measure (n=5), but it may also be due to unsatisfactory psychometric characteristics of some of the measures such as RAVLT recognition memory (Schmidt, 1996).
Importantly, we report an overlap between 37% and 62% in the scores of the AD and bvFTD groups on episodic memory. This suggests that, even when the most discriminating memory measurements are used, the differential diagnosis of AD and bvFTD, on the basis of memory performance, remains challenging. These findings have clinical significance, as they suggest that performance on memory tests does not always adequately differentiate bvFTD from AD, thus questioning the inclusion of relative sparing as a diagnostic criterion for bvFTD diagnosis.
A possible explanation for the contrasting results in the literature and what we report here, supporting neither equal memory impairment in bvFTD and AD nor a sparing of episodic memory (as the current clinical criteria for bvFTD diagnosis suggest), could be the heterogeneity of bvFTD samples within and between studies. In approximately 30% of patients, FTD is caused by genetic mutations (e.g., progranulin [GRN], microtubule-associated protein tau [MAPT], and the chromosome 9 open reading frame 72 [c9orf72] repeat expansion). Ber et al. (2008) found a high frequency of episodic memory disorders (89%) in GRN mutation carriers and suggest an episodic memory disorder to be a distinctive characteristic of the GRN mutation, due to the high expression of GRN in the hippocampus in which marked atrophy and neuronal loss may be observed (Daniel, He, Carmichael, Halper, & Bateman, 2000; Boeve et al., 2006; Snowden et al., 2006).
However, Mahoney et al. (2012) have found similar results for c9orf72 repeat expansion carriers, and suggest a similar explanation. It is, therefore, possible that the clinical presentation of memory impairment depends on the mutation involved. For example, Jiskoot et al. (2016) found specific recall deficits in presymptomatic GRN mutation carriers, whereas MAPT mutation carriers showed more prominent recognition deficits. Current and future longitudinal studies including neuropsychological testing should focus on investigating patterns of memory performance in different FTD phenotypes and their underlying pathologies. The development of tests that can disentangle the contributions of underlying pathology to memory impairment in bvFTD is highly recommended. Importantly, other memory processes such as autobiographical memory and future thinking have received increasing attention in recent years and seem to be valuable constructs to further address in future FTD research (e.g., Dermody, Hornberger, Piguet, Hodges, & Irish, 2016; Irish et al., 2018).
Strengths of our study include the use of a meta-analytical approach that provides a weighted estimate of the magnitude of effects. A limitation is the potential heterogeneity of the included studies with regards to the sample size and characteristics of the memory measurements. In addition, some of the secondary analyses included a relatively small number of studies. Importantly, the majority of the studies in this meta-analysis included patients with bvFTD without pathological confirmation. This introduces a potential selection bias based on the clinical criteria for bvFTD and AD. As relative sparing of episodic memory is considered an inclusion criterion for a bvFTD diagnosis, patients with memory impairment may have been misdiagnosed as AD or other forms of dementia, and were, therefore, not included in these studies.
Several recent clinicopathological studies have highlighted the risk of a misdiagnosis between AD and bvFTD (e.g., Graham et al., 2005; Womack et al., 2011). Although the Lund and Manchester criteria plus SPECT imaging results are considered to be acceptably accurate in identifying a clinical syndrome predicting the pathologic features of FTD at autopsy (Englund et al., 1994; Neary & Snowden, 1996), there is still the possibility that some of the studies missed patients with bvFTD with memory impairment due to the current clinical criteria. This selection bias would have led to an underestimation of our effect sizes.
We would like to stress, however, that several studies included pathologically proven patients with bvFTD and still found significant memory deficits (e.g., Bertoux et al., 2014; Graham et al., 2005; Hornberger et al., 2011). Moreover, by way of moderator analysis, we checked whether studies including pathologically proven patients with bvFTD differed in effect sizes on memory disorder from those that included possible or probable diagnoses or others where this was not specifically stated. Only a few studies included a definite bvFTD diagnoses (n=2), however, there was no significant difference in effect sizes.
In summary, our findings suggest that patients with bvFTD show large deficits on both working and episodic memory processes, with patients with AD performing worse on episodic memory. However, the overlap in test scores between the patient groups was too large to be able to make a confident differential diagnosis on the basis of memory performance. Therefore, we advise that clinicians use memory performances carefully, and interpret them in conjunction with other diagnostic information, that is, medical history, behavioral observations and questionnaires, neuroimaging, neuropsychological data of other cognitive domains. To improve on existing memory performance measures, we recommend developing tests that can disentangle the contribution of underlying pathology to memory impairment in bvFTD. Importantly, we show that memory impairment in bvFTD is more common than previously thought, thus it should not per definition be considered an exclusion criterion when diagnosing bvFTD.
ACKNOWLEDGMENTS
The authors report no conflict of interest. There are no sources of financial support.
REFERENCES
- Balconi M., Cotelli M., Brambilla M., Manenti R., Cosseddu M., Premi E., & . . . Borroni B. (2015). Understanding emotions in frontotemporal dementia: The explicit and implicit emotional cue mismatch. Journal of Alzheimer’s disease, 46, 211–225. [DOI] [PubMed] [Google Scholar]
- Barnes J., Whitwell J.L., Frost C., Josephs K.A., Rossor M., & Fox N.C. (2006). Measurements of the amygdala and hippocampus in pathologically confirmed Alzheimer disease and frontotemporal lobar degeneration. Archives of Neurology, 63, 1434–1439. [DOI] [PubMed] [Google Scholar]
- Barsuglia J.P., Kaiser N.C., Schantz Wilkins S., Joshi A., Barrows R.J., Paholpak P., & Mendez M.F. (2014). A scale of socioemotional dysfunction in frontotemporal dementia. Archives of Clinical Neuropsychology, 29, 793–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ber I., Camuzat A., Hannequin D., Pasquier F., Guedj E., & Rovelet-Lecrux A., . . . and the French research network on FTD-FTD-MND. (2008). Phenotype variability in progranulin mutation carriers: A clinical, neuropsychological, imaging and genetic study. Brain, 131, 732–746. [DOI] [PubMed] [Google Scholar]
- Bertoux M., de Souza L.C., Corlier F., Lamari F., Bottlaender M., Dubois B., && Sarazin M. (2014). Two distinct amnesic profiles in behavioral variant frontotemporal dementia. Society of Biological Psychiatry, 7, 582–588. [DOI] [PubMed] [Google Scholar]
- Binetti G., Locascio J.J., Corkin S., Vonsattel J.P., & Growdon J.H. (2000). Differences between Pick disease and Alzheimer disease in clinical appearance and rate of cognitive decline. Archives of Neurology, 57, 225–232. [DOI] [PubMed] [Google Scholar]
- Blumenfeld R.S., & Ranganath C. (2007). Prefrontal cortex and long-term memory encoding: An integrative review of findings from neuropsychology and neuroimaging. Neuroscientist, 13, 280–291. [DOI] [PubMed] [Google Scholar]
- Boeve B.F., Baker M., Dickson D.W., Parisi J.E., Giannini C., Josephs K.A., & Petersen R.C. (2006). Frontotemporal dementia and parkinsonism associated with the IVS1+1G>A mutation in progranulin: A clinicopathologic study. Brain, 129, 3103–3114. [DOI] [PubMed] [Google Scholar]
- Bora E., Walterfang M., & Velakoulis D. (2015). Theory of mind in behavioral-variant frontotemporal dementia and Alzheimer’s disease: A meta-analysis. Journal of Neurology, Neurosurgery, & Psychiatry, 86, 714–719. [DOI] [PubMed] [Google Scholar]
- Castiglioni S., Pelati O., Zuffi M., Somalvico F., Marino L., Tentorio T., && Franceschi M. (2006). The frontal assessment battery does not differentiate frontotemporal dementia from Alzheimer’s disease. Dementia and Geriatric Cognitive Disorders, 22, 125–131. [DOI] [PubMed] [Google Scholar]
- Clague F., Dudas R.B., Thompson S.A., Graham K.S., & Hodges J.R. (2005). Multidimensional measures of person knowledge and spatial associative learning: Can these be applied to the differentiation of Alzheimer’s disease from frontotemporal and vascular dementia? Neuropsychologia, 43, 1338–1350. [DOI] [PubMed] [Google Scholar]
- Cohen J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.), New Jersey: Erlbaum. [Google Scholar]
- Daniel R., He Z., Carmichael K.P., Halper J., & Bateman A. (2000). Cellular localization of gene expression for progranulin. Journal of Histochemistry and Cytochemistry, 48, 999–1009. [DOI] [PubMed] [Google Scholar]
- Dermody N., Hornberger M., Piguet O., Hodges J.R., & Irish M. (2016). Prospective memory impairments in Alzheimer’s disease and behavioral variant frontotemporal dementia: Clinical and neural correlates. Journal of Alzheimer’s Disease, 50(2), 425–441. [DOI] [PubMed] [Google Scholar]
- de Souza L.C., Chupin M., Bertoux M., Lehericy S., Dubois B., Lamaria F., && Sarazin M. (2013). Is hippocampal volume a good marker to differentiate Alzheimer’s disease from frontotemporal dementia? Journal of Alzheimer’s Disease, 36, 57–66. [DOI] [PubMed] [Google Scholar]
- Englund B., Brun A., Gustafson L., Passant U., Mann D., Neary D., && Snowden J.S. (1994). Clinical and neuropathological criteria for frontotemporal dementia. Journal of Neurology, Neurosurgery, and Psychiatry, 57(4), 416–418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frisoni G.B., Laakso M.P., Beltramello A., Geroldi C., Bianchetti A., Soininen H., && Trabucchi M. (1999). Hippocampal and entorhinal cortex atrophy in frontotemporal dementia and Alzheimer’s disease. Neurology, 52(1), 91–91. [DOI] [PubMed] [Google Scholar]
- Frisoni G.B., Pizzolato G., Geroldi C., Rossato A., Bianchetti A., & Trabucchi M. (1995). Dementia of the frontal type: Neuropsychological and [99Tc]-HMPAO SPECT features. International Geriatric, Psychiatry and Neurology, 8, 42–48. [PubMed] [Google Scholar]
- Galton C.J., Gomez-Anson B., Antoun N., Scheltens P., Patterson K., Graves M., & Hodges J.R. (2001). Temporal lobe rating scale: Application to Alzheimer’s disease and frontotemporal dementia. Journal of Neurology, Neurosurgery, & Psychiatry, 70(2), 165–173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giovagnoli A.R., Erbetta A., Reati F., & Bugiani O. (2008). Differential neuropsychological patterns of frontal variant frontotemporal dementia and Alzheimer’s disease in a study of diagnostic concordance. Neuropsychologia, 46, 1495–1504. [DOI] [PubMed] [Google Scholar]
- Glosser G., Gallo J.L., Clark C.M., & Grosmann M. (2002). Memory encoding and retrieval in frontotemporal dementia and Alzheimer’s disease. Neuropsychology, 16(2), 190–196. [PubMed] [Google Scholar]
- Graham A., Davies R.D., Xuereb J., Halliday G., Kril J., Creasey H., Graham K., && Hodges J. (2005). Pathologically proven frontotemporal dementia presenting with severe amnesia. Brain, 128, 597–605. [DOI] [PubMed] [Google Scholar]
- Gregory C., Lough S., Stone V., Erzinclioglu S., Martin L., Baron-Cohen S., && Hodges J.R. (2002). Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer’s disease: Theoretical and practical implications. Brain, 125, 752–764. [DOI] [PubMed] [Google Scholar]
- Gregory C.A., Orrell M., Sahakian B., & Hodges J. (1997). Can frontotemporal dementia and Alzheimer’s disease be differentiated using a brief battery of tests? International Journal of Geriatric Psychiatry, 12, 375–383. [DOI] [PubMed] [Google Scholar]
- Hardy C.J.D., Buckley A.H., Downey L.E., Lehmann M., Zimmerer V., Varley R.A., & Warren J.D. (2015). The language profile of behavioral variant frontotemporal dementia. Journal of Alzheimer’s disease, 50(2), 359–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hedges L.V., & Olkin I. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press. [Google Scholar]
- Heidler-Gary J., Gottesman R., Newhart M., Chang S., Ken L., & Hillis A.E. (2007). Utility of behavioral versus cognitive measures in differentiating between subtypes of frontotemporal lobar degeneration and Alzheimer’s disease. Dementia and Geriatric Cognitive Disorders, 23(3), 184–193. [DOI] [PubMed] [Google Scholar]
- Hodges J.R., Patterson K., Ward R., Garrard P., Bak T., Perry R., && Gregory C. (1999). The differentiation of semantic dementia and frontal lobe dementia (temporal and frontal variants of frontotemporal dementia) from early Alzheimer’s disease: A comparative neuropsychological study. Neuropsychology, 12, 31–40. [DOI] [PubMed] [Google Scholar]
- Hornberger M., & Piguet O. (2012). Episodic memory in frontotemporal dementia: A critical review. Brain, 135(3), 678–692. [DOI] [PubMed] [Google Scholar]
- Hornberger M., Piguet O., Graham A.J., Nestor P.J., & Hodges J.R. (2010). How preserved is episodic memory in frontotemporal dementia. Neurology, 74, 472–479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hornberger M., Piguet O., Kipps C., & Hodges J.R. (2008). Executive function in progressive and nonprogressive behavioral variant frontotemporal dementia. Neurology, 71, 1481–1488. [DOI] [PubMed] [Google Scholar]
- Hornberger M., Wong S., Tan R., Irish M., Piguet O., Kril J., & Halliday G. (2012). In vivo and post-mortem memory circuit integrity in frontotemporal dementia and Alzheimer’s disease. Brain, 135(10), 3015–3025. [DOI] [PubMed] [Google Scholar]
- Hutchinson A.D., & Mathias J.L. (2007). Neuropsychological deficits in frontotemporal dementia and Alzheimer’s disease: A meta-analytic review. Journal of Neurology, Neurosurgery, and Psychiatry, 78, 917–928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Irish M., Landin-Romero R., Mothakunnel A., Ramanan S., Hsieh S., Hodges J.R., && Piguet O. (2018). Evolution of autobiographical memory impairments in Alzheimer’s disease and frontotemporal dementia – A longitudinal neuroimaging study. Neuropsychologia, 110, 14–25. [DOI] [PubMed] [Google Scholar]
- Jiskoot L.C., Dopper E.G., den Heijer T., Timman R., van Minkelen R., van Swieten J.C., && Papma J.M. (2016). Presymptomatic cognitive decline in familial frontotemporal dementia: A longitudinal study. Neurology, 87(4), 384–391. [DOI] [PubMed] [Google Scholar]
- Kertesz A., Davidson W., McCabe P., & Munoz D. (2003). Behavioral quantitation is more sensitive than cognitive testing in frontotemporal dementia. Alzheimer Disease & Associated Disorders, 17(4), 223–229. [DOI] [PubMed] [Google Scholar]
- Kramer J.H., Jurik J., Sha S.J., Rankin K.P., Rosen H.J., Johnson J.K., && Miller B.L. (2003). Distinctive neuropsychological patterns in frontotemporal dementia, semantic dementia, and Alzheimer disease. Cognitive and Behavioral Neurology, 16, 211–218. [DOI] [PubMed] [Google Scholar]
- Lee A.C., Rahman S., Hodges J.R., Sahakian B.J., & Graham K.S. (2003). Associative and recognition memory for novel objects in dementia: Implications for diagnosis. European Journal of Neuroscience, 18(6), 1660–1670. [DOI] [PubMed] [Google Scholar]
- Lemos R., Duro D., Simoes M.R., & Santana I. (2014). The Free and Cued Selective Reminding Test distinguishes frontotemporal dementia from Alzheimer’s disease. Archives of Clinical Neuropsychology, 29, 670–679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lindberg O., Walterfang M., Looi J.C., Malykhin N., Ostberg P., Zandbelt B., & Wahlund L. (2012). Hippocampal shape analysis in Alzheimer’s disease and frontotemporal lobar degeneration subtypes. Journal of Alzheimer’s Disease, 30(2), 344–365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luzzi S., Snowden J.S., Neary D., Coccia M., Provinciali L., & Lambon Ralph M.A. (2007). Distinct patterns of olfactory impairment in Alzheimer’s disease, semantic dementia, frontotemporal dementia, and corticobasal degeneration. Neuropsychologia, 45, 1823–1831. [DOI] [PubMed] [Google Scholar]
- Mahoney C.J., Beck J., Rohrer J.D., Lashley T., Mok K., Shakespeare T., & Warren J.D. (2012). Frontotemporal dementia with the C9ORF72 hexanucleotide repeat expansion: Clinical, neuroanatomical and neuropathological features. Brain, 135, 736–750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mandelli M.L., Vitali P., Santos M., Henry M., Gola K., Rosenberg L., & Gorno-Tempini M.L. (2016). Two insular regions are differentially involved in behavioral variant FTD and nonfluent/agrammatic variant PPA. Cortex, 74, 149–157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mathuranath P.S., Nestor P.J., Berrios G.E., Rakowicz W., & Hodges J.R. (2000). A brief cognitive test battery to differentiate Alzheimer’s disease and frontotemporal dementia. Neurology, 55(11), 1613–1620. [DOI] [PubMed] [Google Scholar]
- McKhann G.M., Albert M.S., Grossman M., Miller B., Dickson D., & Trojanowski J.Q. (2001). Clinical and pathological diagnosis of frontotemporal dementia: Report of the Work Group on Frontotemporal Dementia and Pick’s Disease. Archives of Neurology, 58, 1803–1809. [DOI] [PubMed] [Google Scholar]
- Mendez M.F., & Shapira J.S. (2011). Loss of emotional insight in behavioral variant frontotemporal dementia or “frontal ansododiaphoria”. Consciousness and Cognition, 20(4), 1690–1696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moher D., Liberati A., Tetzlaff J., & Altman D.G., & The PRISMA Group. (2009). Preferred reporting items and meta-analyses: The PRISMA Statement. PLoS Med, 6(7), 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Munoz-Ruiz M.A., Hartikainen P., Koikkalainen J., Wolz R., Julkunen V., Niskanen E., & Soininen H. (2012). Structural MRI in frontotemporal dementia: Comparisons between hippocampal volumetry. Tensor-based morphometry and voxel-based morphometry. PLoS One, 7(12), e52531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Neary D., & Snowden J. (1996). Fronto-temporal dementia: Nosology, neuropsychology, and neuropathology. Brain and Cognition, 31(2), 176–187. [DOI] [PubMed] [Google Scholar]
- Neary D., Snowden J.S., Gustafson L., Passant U., Stuss D., Black S., & Benson D.F. (1998). Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria. Neurology, 51, 1546–1554. [DOI] [PubMed] [Google Scholar]
- Pachana N.A., Boone B.K., Miller B.L., Cummings J.L., & Berman N. (1996). Comparison of neuropsychological functioning in Alzheimer’s disease and frontotemporal dementia. Journal of the International Neuropsychological Society, 2, 505–510. [DOI] [PubMed] [Google Scholar]
- Papma J.M., Seelaar H., de Koning I., Hasan D., Reijs A., Valkema R., & van Swieten J.C. (2013). Episodic memory impairment in frontotemporal dementia: A 99m Tc-HMPAO SPECT study. Current Alzheimer Research, 10, 332–339. [DOI] [PubMed] [Google Scholar]
- Pasquier F., Grymonprez L., Lebert F., & van der Linden M. (2001). Memory impairment differs in frontotemporal dementia and Alzheimer’s disease. Neurocase, 7, 161–171. [DOI] [PubMed] [Google Scholar]
- Pennington C., Hodges J.R., & Hornberger M. (2011). Neural correlates of episodic memory in behavioral variant frontotemporal dementia. Journal of Alzheimer’s Disease, 24, 261–268. [DOI] [PubMed] [Google Scholar]
- Perri R., Monaco M., Fadda L., Caltagirone C., & Carlesimo G.A. (2014). Neuropsychological correlates of behavioral symptoms in Alzheimer’s disease, frontal variant of frontotemporal, subcortical, vascular, and Lewy body Dementias: A comparative study. Journal of Alzheimer’s Disease, 39, 669–677. [DOI] [PubMed] [Google Scholar]
- Perry R.J., & Hodges J.R. (2000). Differentiating frontal and temporal variant frontotemporal dementia from Alzheimer’s disease. Neurology, 54, 2277–2284. [DOI] [PubMed] [Google Scholar]
- Piolino P., Chetelat G., Matuszewski V., Landeau B., Mezenge F., Viader F., & Desgranges B. (2007). In search of autobiographical memories: A PET study in the frontal variant of frontotemporal dementia. Neuropsychologia, 45, 2730–2743. [DOI] [PubMed] [Google Scholar]
- Ranjith N., Mathuranath P.S., Sharma G., & Alexander A. (2010). Qualitative aspects of learning, recall, and recognition in dementia. Annals of Indian Academy of Neurology, 13(2), 117–122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rascovsky K., Hodges J.R., Knopman D., Mendez M.F., Kramer J.H., Neuhaus J., & Miller B.L. (2011). Sensitivity of revised diagnostic criteria for the behavioral variant of frontotemporal dementia. Brain, 134, 2456–2477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ricci M., Graef S., Blundo C., & Miller L.A. (2012). Using the Rey Auditory Verbal Learning Test (RAVLT) to differentiate Alzheimer’s dementia and behavioural variant fronto-temporal dementia. The Clinical Neuropsychologist, 26(6), 926–941. [DOI] [PubMed] [Google Scholar]
- Rohrer J.D., & Rosen H.J. (2013). Neuroimaging in fron to temporal dementia. International Review of Psychiatry, 25, 221–229. [DOI] [PubMed] [Google Scholar]
- Rosen H.J., Hartikainen K.M., Jagust W., Kramer J.H., Reed B.R., Cummings J.L., & Miller B.L. (2002). Utility of clinical criteria in differentiating frontotemporal lobar degeneration (FTLD) from AD. Neurology, 58, 1608–1615. [DOI] [PubMed] [Google Scholar]
- Rosenberg M.S., Adams D.C., & Gurevitch J. (2000). MetaWin. Statistical software for meta-analysis. Version 2.0. Sunderland, MA: Sinauer, Associates. [Google Scholar]
- Rosenthal R., & DiMatteo M.R. (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review Psychology, 52, 59–82. [DOI] [PubMed] [Google Scholar]
- Schmidt M. (1996). Rey auditory verbal learning test: A handbook (p. 1996). Los Angeles, CA: Western Psychological Services. [Google Scholar]
- Seelaar H., Rohrer J.D., Pijnenburg Y.A., Fox N.C., & van Swieten J.C. (2011). Clinical, genetic and pathological heterogeneity of frontotemporal dementia: A review. Journal of Neurology, Neurosurgery, & Psychiatry, 82, 476–486. [DOI] [PubMed] [Google Scholar]
- Shi J., Shaw C.L., Du Plessis D., Richardson A.M., Bailey K.L., Julien C., & Mann D.M.A. (2005). Histopathological changes underlying frontotemporal lobar degeneration with clinicopathological correlation. Acta Neuropathologica, 110, 501–512. [DOI] [PubMed] [Google Scholar]
- Simons J.S., Verfaellie M., Galton C.J., Miller B.L., Hodges J.R., & Graham K.S. (2002). Recollection‐based memory in frontotemporal dementia: Implications for theories of long‐term memory. Brain, 125(11), 2523–2536. [DOI] [PubMed] [Google Scholar]
- Siri S., Benaglio I., Frigerio G., Binetti G., & Cappa S.F. (2001). A brief neuropsychological assessment for the differential diagnosis between frontotemporal dementia and Alzheimer’s disease. European Journal of Neurology, 8, 125–132. [DOI] [PubMed] [Google Scholar]
- Smits L.L., van Harten A.C., Pijnenburg Y.A., Koedam E.L., Bouwman F.H., Sistermans N., & van der Flier W.M. (2015). Trajectories of cognitive decline in different types of dementia. Psychological Medicine, 45, 1051–1059. [DOI] [PubMed] [Google Scholar]
- Snowden J.S., Pickering-Brown S.M., Mackenzie I.R., Richardson A.M., Varma A., Neary D., && Mann D.M. (2006). Progranulin gene mutations associated with frontotemporal dementia and progressive non-fluent aphasia. Brain, 129, 3091–3102. [DOI] [PubMed] [Google Scholar]
- Souliez L., Pasquier F., Lebert F., Leconte P., & Petite H. (1996). Generation effect in short-term verbal and visuospatial memory: Comparisons between dementia of Alzheimer type and dementia of frontal lobe type. Cortex, 32(2), 347–356. [DOI] [PubMed] [Google Scholar]
- Stopford C.L., Thompson J.C., Neary D., Richardson A.M.T., & Snowden J.S. (2012). Working memory, attention, and executive function in Alzheimer’s disease and frontotemporal dementia. Cortex, 48, 429–446. [DOI] [PubMed] [Google Scholar]
- Thompson J.C., Stopford C.L., Snowden J.S., & Neary D. (2005). Qualitative neuropsychological performance characteristics in frontotemporal dementia and Alzheimer’s disease. Journal of Neurology, Neurosurgery, and Psychiatry, 76, 920–927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Torralva T., Gleichgerrcht E., Ardila M.J.T., Roca M., & Manes F.F. (2015). Differential cognitive and affective theory of mind abilities and moderate stages of behavioral variant frontotemporal dementia. Cognitive and Behavioral Neurology, 28(2), 63–70. [DOI] [PubMed] [Google Scholar]
- Tu S., Wong S., Hodges J.R., Irish M., Piguet O., & Hornberger M. (2015). Lost in spatial translation – A novel tool to objectively assess spatial disorientation in Alzheimer’s disease and frontotemporal dementia. Cortex, 67, 83–94. [DOI] [PubMed] [Google Scholar]
- van den Berg E., Jiskoot L.C., Grosveld M.J.H., van Swieten J.C., & Papma J.M. (2017). Qualitative assessment of verbal fluency performance in frontotemporal dementia. Dementia and Geriatric Cognitive Disorders, 44, 35–44. [DOI] [PubMed] [Google Scholar]
- Virani K., Jesso S., Kertesz A., Mitchell D., & Finger E. (2013). Functional neural correlates of emotional expression processing deficits in behavioral variant frontotemporal dementia. Journal of Psychiatry & Neuroscience, 38(3), 174–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walker A.J., Meares S., Sachdev P.S., & Brodaty H. (2005). The differentiation of mild frontotemporal dementia from Alzheimer’s disease and healthy aging by neuropsychological tests. International Psychogeriatrics, 17, 57–68. [DOI] [PubMed] [Google Scholar]
- Wang P.-N., & Miller B.L. (2007). Clinical aspects of frontotemporal dementia In B.L. Miller & J.L. Cummings (Eds.), The human frontal lobes: Functions and disorders (pp. 365–381). New York: The Guilford Press. [Google Scholar]
- Wicklund A.H., Johnson N., Rademaker A., Weitner B.B., & Weintraub S. (2006). Word list versus story memory in Alzheimer disease and frontotemporal dementia. Alzheimer Disease & Associated Disorders, 20(2), 86–92. [DOI] [PubMed] [Google Scholar]
- Womack K.B., Diaz-Arrastia R., Aizenstein H.J., Arnold S.E., Barbas N.R., Boeve B.F., & Peskind E.R. (2011). Temporoparietal hypometabolism in frontotemporal lobar degeneration and associated imaging diagnostic errors. Archives of Neurology, 68(3), 329–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zakzanis K.K. (1998). Neurocognitive deficit in fronto-temporal dementia. Neuropsychiatry, Neuropsychology and Behavioral Neurology, 11(3), 127–135. [PubMed] [Google Scholar]
- Zakzanis K.K. (2001). Statistics to tell the truth, the whole truth, and nothing but the truth: Formulae, illustrative numerical examples, and heuristic interpretation of effect size analyses for neuropsychological researchers. Archives of Clinical Neuropsychology, 16(7), 653–667. [PubMed] [Google Scholar]