| Literature DB >> 31795052 |
Carlos Muñoz-Neira1, Andrea Tedde2, Elizabeth Coulthard3, N Jade Thai4, Catherine Pennington5.
Abstract
Altered insight into disease or specific symptoms is a prominent clinical feature of frontotemporal dementia (FTD). Understanding the neural bases of insight is crucial to help improve FTD diagnosis, classification and management. A systematic review to explore the neural correlates of altered insight in FTD and associated syndromes was conducted. Insight was fractionated to examine whether altered insight into different neuropsychological/behavioural objects is underpinned by different or compatible neural correlates. 6 databases (Medline, Embase, PsycINFO, Web of Science, BIOSIS and ProQuest Dissertations & Theses Global) were interrogated between 1980 and August 2019. 15 relevant papers were found out of 660 titles screened. The studies included suggest that different objects of altered insight are associated with distinctive brain areas in FTD. For example, disease unawareness appears to predominantly correlate with right frontal involvement. In contrast, altered insight into social cognition potentially involves, in addition to frontal areas, the temporal gyrus, insula, parahippocampus and amygdala. Impaired insight into memory problems appears to be related to the frontal lobes, postcentral gyrus, parietal cortex and posterior cingulate. These results reflect to a certain extent those observed in other neurodegenerative conditions like Alzheimer's disease (AD) and also other brain disorders. Nevertheless, they should be cautiously interpreted due to variability in the methodological aspects used to reach those conclusions. Future work should triangulate different insight assessment approaches and brain imaging techniques to increase the understanding of this highly relevant clinical phenomenon in dementia.Entities:
Keywords: Frontotemporal dementia; Insight; Neural correlates
Mesh:
Year: 2019 PMID: 31795052 PMCID: PMC6889795 DOI: 10.1016/j.nicl.2019.102066
Source DB: PubMed Journal: Neuroimage Clin ISSN: 2213-1582 Impact factor: 4.881
Generic model of the systematic review search strategy.
| Keywords | Inputs |
|---|---|
| FTD, bvFTD, PNFA, SD, LA, MND, ALS, FTLD PiD, CBD, PSP. | Frontotemporal dementia and its associated syndromes |
| insight, lack of insight, awareness, unawareness, self-appraisal, anosognosia, metacognition. | Altered insight |
| neural correlates, anatomical or neuroanatomical bases, histopathological techniques, MRI, CT, DTI, fMRI, PET, SPECT, MRS, EEG, MEG, RS. | Neural correlates and brain imaging methods |
Search strategy performed onto five online databases including Medline, Embase, PsycINFO, Web of Science, BIOSIS and ProQuest Dissertations &Theses Global.
After every key word the command ‘OR’ was added.
Inputs were overlaid using the command ‘AND’.
Fig. 1PRISMA Flow Diagram.
Final selection of relevant papers: participants, insight assessment methodology, insight object(s) assessed, brain imaging methods, and study quality.
| Paper | Participants | Insight assessment methodology | Insight object(s) assessed | Brain imaging methods | Study Quality |
|---|---|---|---|---|---|
| 29 FTD | Insight question from CERAD plus 3 extra insight questions | Presence of disease Behavioural change | Visual rating of PET and SPECT images | Fair | |
| 30 FTD | Clinical judgment Presence or absence of patients’ insight into illness | Presence of disease | Visual inspection of SPECT images | Fair | |
| 74 bvFTD | Clinical judgment using Frontotemporal Dementia Inventory (degree of characterization of the object in reference ranging from 1 -not characteristic at all- to 5 -extremely characteristic-) | Behavioural change | Visual rating of SPECT images | Good | |
| 26 bvFTD 29 CBS 12 PPA | Clinical judgment on the NRS item ‘Inaccurate insight and self-appraisal’ ranging from 1 (not present) to 7 (extremely severe) Participant - informant DS on the FrSBe. | Presence of disease and health status | MRI with automated parcellation of cerebral cortex into 68 regions of interest using FreeSurfer | Good | |
| 8 ALS | Clinical judgement | Overall motor, cognitive and emotional functioning. | Longitudinal changes of areas of bilateral anterior and inferior horns on CT images using Synapse | Good | |
| 24 bvFTD 18 SD | Patient - informant DS on the Insight Questionnaire | Specific scores on: | VBM analysis of MRI using FSL | Good | |
| 49 bvFTD 73 AD | DS between retrospective self-appraisal and standardized scores on language and episodic memory tasks | Multi-domain self appraisal (average performance on language and episodic memory tasks) | VBM analysis of MRI using SPM5 | Good | |
| 2 ALS | DS between retrospective self-rating of performance and standardize scores on attention, episodic memory, language & executive function tasks | Overall cognitive performance (average performance on working memory, attention, episodic memory and executive function tasks) | VBM analysis of MRI using SPM5 | Fair | |
| 35 AD 21 bvFTD | Participant-informant DS using the Patient Competency Rating Scale (PCRS) | ADL competency Cognitive ability Interpersonal ability | VBM analysis of MRI using SPM5 | Good | |
| 28 bvFTD 16 svPPA | Participant-informant DS using the Interpersonal Reactivity Index (IRI) | Empathy | VBM analysis of MRI using SPM5 | Good | |
| 16 bvFTD 16 HC | Participant-informant DS using questionnaires on behaviour prediction and personality assessment | Behavioural and personality changes | VBM analysis of PET images using SPM2 | Good | |
| 8 bvFTD | Participant - informant DS on the MARS | Memory (autonoetic consciousness) | FDG-PET analysis using SPM8 | Good | |
| 27 bvFTD 12 aphasic variants of FTD | Participant-informant DS on the FrSBe; clinical judgement | Executive function | VBM analysis of MRI using SPM5 | Good | |
| 23 bvFTD 30 HC | Participant - informant DS on the AQ-D_iADL | iADL | VBM analysis of MRI using SPM8 | Good | |
| 18 bvFTD 21 AD 18 FIS | Participants’ ratings on their confidence to count their own heart beats (HBD) over accuracy, learning and feedback stages | Interoceptive awareness | VBM and lesion mapping analyses of MRI using SPM12, MRI resting state analysis using SPM8 and HEP/ERP analysis of EEG. |
Judgements made according to the quality assessment conducted with an adapted version of the Newcastle-Ottawa Scale (see Table 7).
Final selection of relevant papers: strength of correlation between altered insight assessment and neuroimaging metrics, and main findings.
| Paper | Strength of correlation between altered insight assessment and neuroimaging metrics | Study findings | |||
|---|---|---|---|---|---|
| Statistical analyses; Coefficient used | Threshold | Threshold cluster extent where applicable | p value used for interpretation | ||
| Factorial analysis of variance (ANOVA), F-test | Not specified | Not applicable (visual inspection) | Loss of insight in FTD was associated with hypoperfusion/hypometabolism in the right hemisphere, especially in the frontal lobes. | ||
| Not specified | Not applicable (visual inspection) | Patients with FTD showed an early loss of personal awareness related to uneven frontotemporal dysfunctions, either bilateral or unilateral | |||
| Ordinal regression; F and Bonferroni tests | Not applicable (visual inspection) | Loss of insight into behavioural change was associated with right frontal hypoperfusion | |||
| Regression; R2 | Not specified | Not specified | - Outcomes from measures of clinical judgement were more robust than patient-informant DS when correlating with brain structures. | ||
| Two-tailed Fisher correlation | N/A (areas of horns measured in mm2) | - Significant positive correlations between anosognosia scores and increase of anterior and inferior horns sizes (indexes of frontotemporal atrophy) in ALS, but especially ALS with FTLD. | |||
| Voxel-wise general linear model; Covariate only model; T-contrast | Significant clusters formed by TCE method (5000 permutations); | 20 voxels | - Scores on insight into Diagnosis and treatment and Language domains did not differ among groups and were not covaried with GM volumes. | ||
| Regression | 15 voxels | Impaired capacity to self-appraise cognitive performances correlated with GM density across ventral and rostral medial prefrontal regions in AD and bvFTD and especially with the subgenual cingulate (BA 25) in bvFTD. | |||
| Covariates only model | 25 voxels | Altered self-appraisal correlated with tissue content mainly in the right ventromedial prefrontal cortex in the whole cohort (behavioural and language variants of FTD, CBD, ALS, MCI, AD and HC). | |||
| General linear models; T-test | Study specific T-threshold at | - Whole group analysis (behavioural and language variants of FTD, AD and HC). Participants were split into under- and over-estimators. | |||
| Multiple regression design (covariates only); T-test | - Overestimation of empathic concern correlated with GM volumes in right-hemispheric anterior inferolateral temporal regions in the whole cohort of participants behavioural and language variants of FTD, AD, AD, CBS y HC). | ||||
| Behavioural-metabolic correlation analyses; Z-scores | 315 voxels | - Decreased metabolic activity in the left temporal pole correlated with reduced insight into behavioural change in bvFTD group | |||
| Factorial analysis | 20 voxels | bvFTD patients with reduced autonoetic consciousness exhibited hypometabolism across the anterior medial prefrontal cortex, the left dorsolateral prefrontal cortex (near the superior frontal sulcus), parietal regions, and the posterior cingulate cortex. | |||
| Full factorial model; One tailed T-test | 1568 voxels | - Combined cohort (behavioural and language variants of FTD, CBS and HC) showed correlations between reduced insight into behavioural change and GM loss in a region extending from the right superior temporal sulcus to the right ITG (posterior region of the right superior temporal sulcus, adjacent to the temporoparietal junction). | |||
| Explorative univariate linear regression | 150 voxels; small clusters filtered with a p FWE corrected>0.05 (Ke> FWE corrected) | bvFTD patients exhibited significant correlations between decreased awareness of performance on iADL and regional GM volume changes in the MPFC (predominantly MCC, dorsal anterior insula and cuneous) and areas of the anterior and posterior cerebellum. | |||
| García-Cordero et al. (2016) | Multiple regressions; T-tests and Spearman correlations | Structural and functional analysis: | 50 voxels in structural analysis and 10 voxels in functional analysis | ||
Quality assessment for the papers included in the present systematic review according to an adapted version of the Newcastle-Ottawa Scale for cross-sectional studies.
| Paper | Selection (out of 4 stars) | Comparability (out of 2 stars) | Outcome (out of 3 stars) | Total (out of 9 stars) |
|---|---|---|---|---|
| ★★★ | ★★ | ★★ | ★★★★★★★ (7) | |
| ★★ | ★★ | ★★ | ★★★★★★ (6) | |
| ★★ | ★★ | ★★ | ★★★★★★ (6) | |
| ★★★ | ★ | ★★ | ★★★★★★ (6) | |
| ★★★★ | ★★ | ★★ | ★★★★★★★★ (8) | |
| ★★★ | ★ | ★★ | ★★★★★★ (6) | |
| ★★★ | ★ | ★★ | ★★★★★★ (6) | |
| ★★★ | ★ | ★ | ★★★★★ (5) | |
| ★★★ | ★ | ★★★★ (4) | ||
| ★★★ | ★ | ★ | ★★★★★ (5) | |
| ★★★ | ★★ | ★★★★★ (5) | ||
| ★★★★ | ★★ | ★★ | ★★★★★★★★ (8) | |
| ★★★★ | ★★ | ★★ | ★★★★★★★★ (8) | |
| ★★★★ | ★★ | ★★ | ★★★★★★★★ (8) | |
| ★★★ | ★ | ★★ | ★★★★★★ (6) |
Thresholds for converting the Newcastle-Ottawa scales to Agency for Healthcare Research and Quality (AHRQ) standards (good, fair, and poor) as applied elsewhere (Sharmin et al., 2017):
- 3 or 4 stars in selection domain plus 1 or 2 stars in comparability domain plus 2 or 3 stars in outcome/exposure domain = good quality.
- 2 stars in selection domain plus 1 or 2 stars in comparability domain plus 2 or 3 stars in outcome/exposure domain = fair quality.
- 0 or 1 star in selection domain plus 0 stars in comparability domain plus 0 or 1 stars in outcome/exposure domain = poor quality.
Number of papers published (and its respective percentage) according to the objects of altered insight explored in frontotemporal dementia and associated syndromes*.
| Objects of insight | Number of papers | Percentage |
|---|---|---|
| Disease/diagnosis | 2 | 13.33% |
| Health condition | 7 | 46.67% |
| Social cognition | 4 | 26.67% |
| Memory | 1 | 6.67% |
| Motivation/Apathy | 1 | 6.67% |
| Activities of daily living | 2 | 13.33% |
| Executive functions | 1 | 6.67% |
| Interoception | 1 | 6.67% |
The total number of papers finally selected was 15. Certain studies explored more than one insight object (see Tables 2 and 3).
Methodology used for insight assessment and brain imaging.
| Brain imaging technique | Method of insight assessment | Total | ||
|---|---|---|---|---|
| Participant-informant discrepancy score | Self-ratings versus performances | Clinical judgment | ||
| Structural | 6 | 2 | 1 | 9 |
| Functional | 1 | 1 | 3 | 5 |
| Combined | 0 | 1 | 0 | 1 |
| Total | 7 | 4 | 4 | 15 |
No study used DTI, MEG, MRS or histological observations to explore any modality of lack of insight in FTD.
8 studies (88.89%) used MRI [Amanzio et al. (2016), Hornberger et al. (2014), Levy et al. (2018), Massimo et al. (2013), Rosen et al. (2010), Shany-Ur et al. (2014), Sollberger et al. (2014) and Zamboni et al. (2010)] and 1 (11.11%) used CT [Ichikawa et al. (2013)).
All studies used either PET or SPECT [Bastin et al. (2012), McMurtray et al. (2006), Mendez and Shapira (2005), Miller et al. (1997) and Ruby et al. (2007)].
1 study used structural MRI, EEG and resting state functional MRI [Garcia-Cordero et al. (2016)].
Frontotemporal dementia-related diagnostic cohorts included across the studies reporting neural correlates of altered insight into diverse objects.
| Diagnoses | Numbers of studies including the diagnosis in reference | Percentage |
|---|---|---|
| bvFTD | 14 | 93.33% |
| nfPPA | 6 | 40.00% |
| SD | 5 | 33.33% |
| LA | 2 | 13.33% |
| ALS | 2 | 13.33% |
| CBS | 4 | 26.67% |
| AD | 5 | 33.33% |
| Others | 2 | 13.33% |
| Controls | 9 | 60.00% |
Others included patients with MCI and frontal strokes.
Fig. 2Brain areas involved in altered insight into different objects in patients with frontotemporal dementia and associated syndromes
MRI = magnetic resonance imaging; PET = positron emission tomography; SPECT = single-photon emission computed tomography; CT = computed axial tomography
This figure was created with the Montreal Neurological Institute (MNI) template. The coloured figures represent spatial approximations only (see Tables 2 and 3 for more accurate details).
Garcia-Cordero et al. (2016), Levy et al. (2018), McMurtray et al. (2006), Rosen et al. (2010), Shany-Ur et al. (2014) and Sollberger et al. (2014) were not illustrated in this figure.