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A clinical 3D pointing test differentiates spatial memory deficits in dementia and bilateral vestibular failure
BMC Neurology volume 24, Article number: 75 (2024)
Abstract
Background
Deficits in spatial memory, orientation, and navigation are often neglected early signs of cognitive impairment or loss of vestibular function. Real-world navigation tests require complex setups. In contrast, simple pointing at targets in a three-dimensional environment is a basic sensorimotor ability which provides an alternative measure of spatial orientation and memory at bedside. The aim of this study was to test the reliability of a previously established 3D-Real-World Pointing Test (3D-RWPT) in patients with cognitive impairment due to different neurodegenerative disorders, bilateral vestibulopathy, or a combination of both compared to healthy participants.
Methods
The 3D-RWPT was performed using a static array of targets in front of the seated participant before and, as a transformation task, after a 90-degree body rotation around the yaw-axis. Three groups of patients were enrolled: (1) chronic bilateral vestibulopathy (BVP) with normal cognition (n = 32), (2) cognitive impairment with normal vestibular function (n = 28), and (3) combined BVP and cognitive impairment (n = 9). The control group consisted of age-matched participants (HP) without cognitive and vestibular deficits (n = 67). Analyses focused on paradigm-specific mean angular deviation of pointing in the azimuth (horizontal) and polar (vertical) spatial planes, of the preferred pointing strategy (egocentric or allocentric), and the resulting shape configuration of the pointing array relative to the stimulus array. Statistical analysis was performed using age-corrected ANCOVA-testing with Bonferroni correction and correlation analysis using Spearman’s rho.
Results
Patients with cognitive impairment employed more egocentric pointing strategies while patients with BVP but normal cognition and HP used more world-based solutions (pBonf 5.78 × 10-3**). Differences in pointing accuracy were only found in the azimuth plane, unveiling unique patterns where patients with cognitive impairment showed decreased accuracy in the transformation tasks of the 3D-RWPT (pBonf < 0.001***) while patients with BVP struggled in the post-rotation tasks (pBonf < 0.001***). Overall azimuth pointing performance was still adequate in some patients with BVP but significantly decreased when combined with a cognitive deficit.
Conclusion
The 3D-RWPT provides a simple and fast measure of spatial orientation and memory. Cognitive impairment often led to a shift from world-based allocentric pointing strategy to an egocentric performance with less azimuth accuracy compared to age-matched controls. This supports the view that cognitive deficits hinder the mental buildup of the stimulus pattern represented as a geometrical form. Vestibular hypofunction negatively affected spatial memory and pointing performance in the azimuth plane. The most severe spatial impairments (angular deviation, figure frame configuration) were found in patients with combined cognitive and vestibular deficits.
Introduction
Deficits in spatial orientation and spatial memory are early signs of cognitive decline, e.g., in Alzheimer’s disease (AD, [1, 2]) and other forms of dementia [3, 4]. Since they often are the first cognitive symptoms with a long time span of preclinical stages of dementia [5] in which therapeutical interventions might be possible, the importance of testing spatial orientation and memory becomes clinically relevant. Such a test could be used as a neuropsychological biomarker for early diagnosis and disease progression [6, 7]. However, there is still a need for an easy-to-use, 3D real-world, clinical bedside test of these orientational abilities which ideally allows for the distinction between perceptual deficits (e.g., bilateral vestibular loss) and dysfunction of cortical processing (different forms of dementia).
Apart from degenerative and vascular cognitive neurological disorders, chronic peripheral bilateral vestibulopathy (BVP) also significantly affects spatial orientation and spatial memory associated with hippocampal atrophy [8,9,10,11]. The latter deficits have only been proven in recent years. These findings prompted us to test this group of patients in whom the disorder affects primarily the peripheral organ rather than cortical mechanisms as in various forms of dementia. There is a clinical need to differentiate the specific deficits of the three conditions, a general cognitive decline, a sensory loss of vestibular function, and the combination of both which is not rare in the elderly [12,13,14], in order to provide early therapeutical options (e.g., cognitive training, vestibular rehabilitation). There are a number of tests available for spatial abilities such as questionnaires, pen-and-paper-tests, digital navigation in virtual environments, real-life navigation tasks, or tasks with stationary subject-world interaction [15,16,17]. Most of these tests require time consuming complex setups or their measures are restricted to 2D rather than 3D orientation. In general, clinical assessment of spatial orientation and memory should be based on actual performance as in the 2D pen-and-paper test [15] or a 3D smartphone-based finger-arm-pointing test [18, 19], since the patient’s history of self-estimated navigation ability might reflect subjective misjudgments [20,21,22]. The here used 3D Real-World Pointing Test (3D-RWPT) requires the participant to update their reference frame of the environment after horizontal whole-body rotations ( ≙ yaw-axis rotation) in order to still be able to correctly interact with static real-world targets, and gives additional information on polar (vertical) as compared to azimuth (horizontal) spatial performance, which may remain undetected in 2D-pen-and-paper tests [18].
For the 3D-pointing paradigm (3D-RWPT [18])] using a previously optimized smartphone-based device [19, 23], we additionally introduced figure frame analysis, which conceptually allows for a separation between impaired primary figure frame (on the perception level, e.g., due to decreased visual acuity), secondary figure frame (on the mental processing level, e.g., in neurodegeneration), and tertiary figure frame (on the output level, e.g., motor impairment) [24]. This data analysis method was inspired by concepts from cognitive psychology (i.e., stimulus perception, integration/interpretation, behavior modification; [25]). In the current study, we used the 3D-RWPT in three groups of patients: degenerative cognitive impairment due to heterogeneous neurodegenerative conditions, bilateral vestibulopathy (BVP), and a combination of both conditions in comparison to a group of age-matched participants without cognitive and vestibular deficits.
The major goals of this study were: to disclose differences in the accuracy of spatial pointing abilities before and after body rotation (spatial transformation and post-transformation of the spatial target array), the preferred use of either egocentric or world-based allocentric pointing strategies, and the consequences of the combination of both diseases. Our hypotheses were that (a) patients with BVP would show higher deviations in the post-rotation task due to the lack of labyrinthine function; (b) patients with cognitive decline and associated visuospatial deficits would show higher deviations in the transformation tasks due to the complexity of the required mental transformation steps to update the spatial map of the environment; (c) the overlap group of BVP and cognitive decline would show the highest deviations; and (d) a shift towards retinotopic/egocentric spatial encoding strategies would be observable in patients with cognitive impairment. We selected patients with vestibular or cognitive deficits in order to compare the effects of a peripheral sensory (vestibular) and a central processing deficit (cognitive) for dynamic spatial orientation. The analyses focused on paradigm-specific mean angular deviation of pointing in the azimuth (horizontal) and polar (vertical) planes, the preferred pointing strategy, and the resulting shape configuration of the pointing results relative to the stimulus array.
Methods
Patients
The patients included were examined in our tertiary interdisciplinary center for vertigo and balance disorders (German Center for Vertigo and Balance Disorders) and the Department of Neurology, Ludwig-Maximilians-University, Munich, Germany, between September 2020 and May 2023. Forty-one patients (17 females, mean age 59.95 ± 14.66 years) with chronic bilateral vestibulopathy (BVP) as defined by the Consensus Committee of the Bárány Society [26] were selected. Of these patients, 9 (6 females) had a relevant cognitive deficit, resulting in two subgroups, first BVP with normal cognition (n = 32, mean age 58.94 ± 15.40 years), and second BVP with cognitive deficits (n = 9, mean age 63.56 ± 11.72 years). The etiology of the BVP was deficiencies due to ototoxic drugs (n = 7), bilateral Menière’s disease (n = 3), autoimmune disorders (n = 3), consequence of ENT-surgery (n = 3) with the remainder being idiopathic BVP (n = 25). Furthermore, 67 participants (37 females, mean age 48.42 ± 18.17 years) without peripheral-vestibular dysfunction and normal cognition as well as 28 patients without peripheral-vestibular dysfunction but cognitive impairment (14 females, mean age 72.36 ± 7.87 years) were included. All patients and participants underwent the Montreal Cognitive Assessment test (MoCA, [27]) or comparable test batteries (e.g., Mini Mental Test) as a first cognitive screening step. In patients with severe cognitive deficits (MoCA – Score below 24) extensive neuropsychological testing was recommended and partially performed in-house, e.g., with the CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) - test battery. Cognitive impairment was defined by scores equal to or lower than 25 points in the MoCA or similar test. Sufficient hearing status was ensured. Borderline test results (MoCA-Scores 24 and 25, [28]) were correlated with additional detailed neuropsychological testing, if available, and a clinical neurocognitive assessment. Final diagnoses according to the respective diagnostic criteria were vascular encephalopathy (n = 12), idiopathic Parkinson syndrome (IPS, n = 3), frontotemporal dementia (FTD, n = 2), Alzheimer’s disease (AD, n = 2), progressive supranuclear palsy (PSP, n = 1), normal pressure hydrocephalus (NPH, n = 1), and mixed dementia with epilepsy (n = 1). Eight patients, all showing clear clinical characteristics of neurodegenerative processes, have not received a final diagnosis yet, while six patients were lost to follow-up. Patients with severe cognitive impairment would have been excluded if they were unable to understand the instructions. This was not the case in the enrolled patients. Further exclusion criteria were relevant impairments of arm function due to, e.g., cerebellar ataxia, tremor, paresis, or orthopedic disorders as well as uncorrected hearing loss.
The data protection clearance and Institutional Review Board of the Ludwig-Maximilians-University, Munich, Germany approved the study (no. 094 − 10), and all patients gave informed consent. The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
Neurological and neuro-otological examination
Clinical testing included a neurological and neuro-orthoptic assessment (spontaneous and head-shaking nystagmus, ocular motor examination, fundus photography and adjustment of the subjective visual vertical (SVV) in order to assess vestibular deficits and acute vestibular tone imbalances [29, 30]). Further, bithermal caloric testing using warm (44 °C) water irrigation in the right (WR) and left (WL) as well as cold (30 °C) water irrigation in the right (CR) and left (CL) external ear were performed to measure the function of the horizontal semicircular canals in the low-frequency range of the vestibulo-ocular reflex [31], and standardized vHIT measurements of the semicircular function in the high-frequency range using the EyeSeeCamHIT® system (EyeSeeTec, Munich, Germany) [32]. All participants were tested for handedness by using the Edinburgh Handedness Inventory [33].
Psychometric testing
The psychometric questionnaire battery consisted of (a) the Santa Barbara Sense of Direction Scale (SBSODS, [15]), (b) the Patient Health Questionnaire subsection 9 (PHQ-9, [34]), and (c) the Montreal Cognitive Assessment (MoCA, [27, 28]; scores were corrected for education level and cross-referenced with clinical cognitive assessment by a medical doctor). Some questionnaires not yet available in a German version had been translated using the cross-cultural adaptation process [35] for prior studies. SBSODS, PHQ-9 and EHI were filled out by the participants themselves without supervision or time constraints, while the MoCA-test was performed in a standardized fashion either by a medical doctor or a registered study nurse. For further analysis, the SBSODS was divided into questions with an emotional element (e.g., “I don’t enjoy giving directions.”, items 6, 7, 8, 10, 13), questions on absolute self-assessed function (e.g., “I am very good at judging distances.”, items 1, 2, 3, 4, 9, 10, 14), and questions where the score does not necessarily indicate higher or lower orientational performance but possibly individual preferences (e.g., “I tend to think of my environment in terms of cardinal directions (N, S, E, W).”, items 5, 12, 15).
Pointing test procedure (3D-real-world pointing test)
The clinical pointing task was recorded using a smartphone-based (iPhone®, Apple, CA, USA) pointing device, using the built-in 6-axis accelerometer/gyroscope unit (Invensense (TDK), CA, USA), and testing setup from previous work [18, 23], i.e., two calibration and five testing paradigms (Figs. 1 and 2A). The test was administered by one of the authors (JG) or a registered study nurse specifically trained in the correct test execution. Calibration (i.e., pointing to all targets in randomized order with open eyes and visual feedback available) was performed twice: first for the world-based calibration with a laser pointer attached to the device visualizing the real-world pointing vector, and then again for the retinotopic calibration where participants were instructed to visually align each target and their extended index finger. Targets were 20 mm red points on a white wall in a 3 × 3 matrix with 100 cm distance between points. Participants were seated on a swivel chair with their eye level aligned with the center row of dots. An eye-to-wall distance of 192 cm (limited by room size) was chosen to ensure that all targets were located in the near-peripheral field of vision (up to 30° radially outwards, [36]) when participants’ gaze was straight ahead on the central target. In the target matrix, neighboring points were separated by 27.5°, totaling a target angular scope of 55° x 55° in azimuth and polar directions, respectively. For each task, a computerized voice from the device gave a command, e.g., “top left”, and the subjects pointed towards the target with an extended arm. The volume of the commands was adjustable up to 105 dB to ensure sufficient understanding; if necessary, the instructions were repeated by the test supervisor (e.g., when patients were distracted). The measurement was confirmed using a wireless Bluetooth dongle either by the examiner or by the subject themselves. If participants were unable to perform the calibration steps, the experiment was terminated at this stage. After calibration, the subjects were asked to point to the targets in another randomized order (indicated by the device) without visual feedback while facing straight ahead (1), after being passively 90° rotated to their “non-hand-dominant” side (i.e., towards the left side for right-handed participants, towards the right side for left handed participants; hand dominance determined by the EHI) with visual feedback available during rotation and pointing thereafter during eyes closed (2), back in the initial position without visual feedback during rotation (3), after being passively rotated 90° to their “hand-dominant” side with visual feedback available during rotation but eyes closed when pointing (4) and back to the initial target-facing position without visual feedback during rotation (5). Each test was separated by a standardized pause of 30 s signaled in five-second intervals using a notification sound. Participants who showed a relevant egocentric fallback in the rotation tasks (i.e., pointing as if no rotation had taken place, [18]) were documented by the examiner. The average testing time (including participant instructions) took 7 to 10 minutes depending on participant compliance.
Statistics
After data collection, all data was irreversibly anonymized for data analysis and processed using Microsoft® Excel (Version 2022) and JASP (Version 0.18.0 [37]). For data description, mean values and standard deviation for continuous variables and absolute and relative frequencies for categorical variables were used. We tested statistical inference using Spearman’s rho and performed either independent samples student’s t-test or one-way analysis of variance (ANCOVA) testing for each pointing paradigm when comparing each subgroup (correction for respective covariates depending on subanalysis, post-hoc-testing using 1000 bootstraps, Bonferroni-correction and effect size estimation with partial η2, all analyses performed in JASP).
Pointing task analysis
The pointing vectors from each 3D-RWPT task were used to calculate mean angular deviations in the azimuth (≘horizontal) and polar (≘ vertical) plane relative to the two sets of calibrations, as described in previous studies [18, 23]. We corrected for age, since a shift in navigation strategy can be seen in older age without (known) cognitive decline [38]. The mean absolute deviation between each pointing vector and either world-based or retinotopic calibration vector was computed as a marker of participant performance or ‘accuracy’ with lower mean deviations equalling a higher accuracy (lowest possible value: 0°). The deviation was calculated in azimuth and polar planes for all five tasks and further divided for the initial reproduction task, the transformation tasks (when rotated to dominant and non-dominant side), and the postrotational tasks. Additionally, we calculated ‘directional’ deviations or the ‘precision’ for each paradigm and calibration, i.e., using the non-absolute values. This was necessary in order to separate inaccurate performances with an underlying ‘intact’ mental coding from systematically shifted mental representation and unsystematic pointing performances. Here, a value close to 0° implies an overall intact mental representation (since directional deviations average out), while systematic shifts would result in stable, distinctly positive, or negative deviations. To differentiate pointing performances with an intact mental representation from performances with unsystematic deviations which, due to a stochastic central tendency, might also average out to ~ 0°, one has to furthermore analyse the paradigm-wise standard deviation as a marker for participant consistency (mean azimuth pointing consistency, mAPC, and mean polar pointing consistency, mPPC). Higher values in this metric indicate an unsystematic performance.
Furthermore, by subtracting the mean absolute task-specific deviation calculated with the world-based calibration from the mean absolute deviation calculated with the retinotopic calibration, a metric for the employed pointing strategy was derived. A subject performing the tasks mostly based on a retinotopically coded mental map will show higher deviations from the world-based calibration than from the retinotopic calibration, resulting in a negative value for this metric regardless of overall pointing accuracy (positive values: more world-based coding, negative values: more retinotopic coding, values around zero: no clear preference).
Figure frame analysis
To further understand groupwise differences, we used a method of creating a 2D projection of the raw pointing vectors as a dimensionless depiction of the underlying mental shape representation of the target array. A detailed description of the figure frame creation steps can be found in [24]. Figure frame analysis is a promising holistic approach to pointing performance analysis, allowing for more complex mathematical analyses. All figure frames were plotted using ImageJ/FIJI [39] while we used the MorphoLibJ-plugin [40] for further morphological analysis, namely rectangularity, perimeter, maximum feret diameter (i.e., the maximum distance between two parallel tangential lines), figure area, and offset from the projections’ center.
Results
Neurotological testing confirmed the peripheral loss of vestibular function in both BVP groups and the normal vestibular function in the other two groups (HC and cognitive impairment; Table 1). The BVP group with and without cognitive impairment had comparable demographics (BVP and normal cognition: 32 patients (11 females), mean age 58.94 ± 15.40 years; BVP and cognitive impairment: 9 patients (6 females), mean age 63.56 ± 11.72 years); the two other subgroups (normal vestibular function with and without cognitive impairment) diverged in their mean age (normal vestibular function + normal cognition: 48.42 ± 18.17 years, normal vestibular function + cognitive deficit: 72.36 ± 7.87 years). Further demographic details and neuro-otological test results can be seen in Table 1.
Seven out of all participants (5.15%) were left-handed and performed the test in a mirrored version, i.e., with the device strapped to their left wrist and performing the initial rotation towards the right side instead of the left side, since the first rotation was always towards the non-hand-dominant side. For later data analysis steps, relative directions in regard to hand dominance were used instead of absolute directions such as left or right.
Psychometric testing ruled out relevant group differences in a depression screening questionnaire (PHQ9) with all groups showing similar values and ANCOVA-testing yielding non-significant results (normal peripheral-vestibular function vs. BVP: F(1,118) = 0.33, p 0.57, partial η2 = 2.67 × 10-3, post-hoc difference =-0.60, pBonf 0.57; normal cognition vs. cognitive impairment: F(1,118) = 1.71, p 0.19, partial η2 = 0.01, post-hoc difference = -1.44, pBonf 0.19). The self-assessment of navigation ability (SBSODS) showed no group differences after correction for participant age, neither in the overall score nor in the subsets (detailed ANCOVA-results in Additional file 1). The correction for participant age was included due to a positive correlation between participant age and the neutral subset of SBSODS-items (Spearman’s rho 0.30, p 1.19 × 10-3**). None of the individual questionnaire items showed significant group differences. Overall and subitem scores partially correlated with pointing performance, especially the functional subitems (i.e., items 1, 2, 3, 4, 9, 10, 14; Fig. 3).
Mean azimuth deviations (mAD) from both retinotopic and world-based calibrations were higher in the patients with cognitive impairment and the BVP group, respectively, with the combined patient group (BVP plus cognitive impairment) showing the highest deviations in this “accuracy”-metric (overall mAD retinotopic: normal peripheral-vestibular function + normal cognition 8.49° ± 3.53°, BVP + normal cognition 10.01° ± 4.32°, normal peripheral-vestibular function + cognitive impairment 12.06° ± 5.21°, BVP + cognitive impairment 18.33° ± 9.71°; overall mAD world-based: normal peripheral-vestibular function + normal cognition 8.71° ± 3.23°, BVP + normal cognition 9.63° ± 4.51°, normal peripheral-vestibular function + cognitive impairment 13.89° ± 7.18°, BVP + cognitive impairment 19.60° ± 9.50°; ANCOVA: normal peripheral-vestibular function vs. BVP: pBonf < 0.001*** (retinotopic and world-based), normal cognition vs. cognitive impairment: pBonf < 0.001*** (retinotopic), pBonf 3.75 × 10-3** (world-based), detailed age-corrected ANCOVA-testing in Additional file 1).
Paradigm-wise analysis showed distinct spatial impairment patterns with cognitive impairment causing higher azimuth deviations in the transformation tasks while patients with BVP (but normal cognition) showed testing results almost on the HP-level (overall mAD retinotopic: normal peripheral-vestibular function + normal cognition 10.75° ± 5.38°, BVP + normal cognition 11.71° ± 5.46°, normal peripheral-vestibular function + cognitive impairment 18.15° ± 11.80°, BVP + cognitive impairment 25.99° ± 17.34°; overall mAD world-based: normal peripheral-vestibular function + normal cognition 10.95° ± 5.04°, BVP + normal cognition 10.62° ± 3.81°, normal peripheral-vestibular function + cognitive impairment 19.60° ± 12.69°, BVP + cognitive impairment 27.04° ± 16.68°; ANCOVA: normal peripheral-vestibular function vs. BVP: pBonf 0.02* (retinotopic), pBonf 0.05* (world-based), normal cognition vs. cognitive impairment: pBonf < 0.001*** (retinotopic and world-based), detailed age-corrected ANCOVA-testing in Additional file 1).
Vestibular impairment, however, caused higher azimuth deviations in the post-rotation tasks, where instead patients with cognitive impairment (but normal vestibular function) showed results closer to the normal participants (overall mAD retinotopic: normal peripheral-vestibular function + normal cognition 8.01° ± 3.63°, BVP + normal cognition 10.78° ± 5.53°, normal peripheral-vestibular function + cognitive impairment 9.07° ± 3.79°, BVP + cognitive impairment 17.20° ± 10.47°; overall mAD world-based: normal peripheral-vestibular function + normal cognition 8.20° ± 3.45°, BVP + normal cognition 10.71° ± 6.81°, normal peripheral-vestibular function + cognitive impairment 11.21° ± 6.51°, BVP + cognitive impairment 18.60° ± 10.98°; ANCOVA: normal peripheral-vestibular function vs. BVP: pBonf < 0.001*** (retinotopic and world-based), normal cognition vs. cognitive impairment: pBonf 6.17 × 10-3** (retinotopic), pBonf < 0.001*** (world-based), detailed age-corrected ANCOVA-testing in Additional file 1).
Polar pointing performance (mean polar deviations, mPD) did not show significant group differences. Detailed results of age-corrected ANCOVA-testing for mAD and mPD can be found in Additional file 1 and in Fig. 4.
Mean directional deviations (mean azimuth directional deviation, mAdD; mean polar directional deviation, mPdD), i.e., the “precision”-marker, showed a tendency towards higher (= worse) values in cognitively impaired patients, again only in the azimuth direction. Without reaching statistical significance in the age-corrected ANCOVA due to high interindividual variance, a trend was seen where this “precision” was highest in the BVP subgroup with normal cognition and lowest in BVP patients with additional cognitive impairment while the other subgroups lay in between (Fig. 5). In the analysis of paradigm-wise standard deviations as a marker for participant consistency (mean azimuth pointing consistency, mAPC, and mean polar pointing consistency, mPPC), higher values indicating a larger variance of angular deviations and higher mean standard deviations were observable in both cognitive and vestibular hypofunction. Detailed results for directional deviation and paradigm-wise consistency can be found in Additional file 1.
MoCA scores correlated with azimuth performance (Spearman’s rho: MoCA/mADretinotopic -0.53, p < 0.001***; MoCA/mADworld−based -0.52, p < 0.001***) but not with polar performance (Spearman’s rho: MoCA/mPDretinotopic 0.02, p 0.85; MoCA/mPDworld−based -0.14, p 0.16). Similarly, both directional deviations as well as overall consistency were primarily affected in the azimuth plane (Additional file 1). No direct correlation between MOCA-scores and the numerical value of preferred pointing strategy was found (Spearman’s rho: MOCA/Azimuth pointing strategy 0.14, p 0.15; MOCA/Polar pointing strategy 0.15, p 0.12).
To determine the employed pointing strategy, we assessed if patients showed lower paradigm-wise deviations from their retinotopic calibration or from their world-based-calibration, respectively. Here, a-priori group differences in the respective calibration steps needed to be ruled out. For this, we performed an independent one-way ANCOVA of the groupwise mean subject-specific offset between retinotopic and world-based calibration in the azimuth and polar planes. This revealed no significant group differences in regard to cognitive and peripheral-vestibular function on mean azimuth or polar deviation (Additional file 1), therefore allowing analysis of the employed pointing strategy. When assessing the deviation difference between retinotopic and world-based spatial coding strategy, a significant shift towards the retinotopic calibration was found in transformation and post-rotation paradigms as well as subsequently in the overall analysis in patients with cognitive impairment, but only in the azimuth direction (ANCOVA normal peripheral-vestibular function vs. BVP: mean overall azimuth pointing strategy difference − 0.58, pBonf 0.32, mean overall polar pointing strategy difference 0.50, pBonf 0.25; normal cognition vs. cognitive impairment: mean overall azimuth pointing strategy difference 1.72, pBonf 5.78 × 10-3**, mean overall polar difference 0.83, pBonf 0.07). No additional effect of vestibular function was seen: both HP and BVP-patients with normal cognition tended towards world-based encoding strategies (Fig. 6).
An egocentric fallback pattern (i.e., a 90° degree shifted pointing pattern in the transformation tasks, as if no rotation had taken place [23]) in the rotational tasks was observed in 8 patients, but in none of the healthy participants: 5 patients with cognitive impairment and normal vestibular function, 2 patients with BVP and cognitive impairment, and one patient with BVP and normal cognition. The patients showing this pattern had significantly lower MoCA-scores both in comparison with all other participants (independent samples student’s t-test: mean difference MoCA-scores 5.61, t 4.81, p < 0.001***, Cohen’s d 1.77), and in comparison to the other cognitively impaired patients (independent samples student’s t-test: mean difference MOCA-scores 2.66, t 2.12, p 0.04*, Cohen’s d 0.44).
Figure frame analysis revealed a tendency towards increased figure area and figure perimeter in both cognitive and vestibular impairment in the reproduction paradigm (ANCOVA normal peripheral-vestibular function vs. BVP: mean reproduction area difference − 27319.84, pBonf 0.02*, Cohen’s d -0.54; normal cognition vs. cognitive impairment: mean reproduction area difference − 23947.28, pBonf 0.05*, Cohen’s d -0.47). In the transformation tasks (and subsequently the overall analysis), post-hoc testing showed increased figure frame areas in cognitive impairment, whereas BVP was not a statistically significant discriminatory factor (ANCOVA, normal cognition vs. cognitive impairment: overall area difference pBonf 0.02*, detailed results in Additional file 1).
Morphometrical figure frame analysis in transformation and postrotation paradigms showed increased perimeters and maximum feret diameters in the cognitively impaired cohort but no significant differences in regard to vestibular function (ANCOVA, normal cognition vs. cognitive impairment: max. Feret diameter difference: transformation pBonf 1.51 × 10-3**, postrotation: pBonf 0.04*; perimeter difference transformation: pBonf < 0.001***, postrotation: pBonf 0.01**, detailed results in Additional file 1). A groupwise plot of the resulting figure frames illustrates these disturbed spatial representations (Fig. 2). A directional horizontal offset following the passive whole-body rotation without visual cues was partially seen in the BVP group, while the group with cognitive impairment did not show systematic shifts (detailed ANCOVA-results in Additional file 1) The vertical center was not affected by the rotation.
Discussion
Patients with cognitive impairment and BVP showed reduced accuracy of spatial orientation and memory in a 3D-real-world finger pointing task in a distinct manner: patients with cognitive impairment struggled in the transformation tasks (i.e., 90° rotation to the side with visual feedback available), and patients with vestibular hypofunction struggled in the post-rotation tasks (i.e., rotation back into forward-facing position; rotation performed without visual feedback available). Further, the 3D-RWPT revealed a shift of pointing strategy from world-based/allocentric towards retinotopic/egocentric pointing in patients with cognitive impairment. Individual figure frame analyses of the eight border targets of the stimulus array showed morphological alterations in the cognitively impaired patients, which were especially pronounced in the group with a combination of vestibular and cognitive deficits. This supports the view that the cognitive deficits hindered the mental buildup of the stimulus pattern represented as a geometrical form, potentially as a mild form of simultanagnosia.
A decrease in spatial orientation and navigation has been previously described for unilateral and bilateral vestibulopathy in other virtual and real-world spatial orientation and navigation tests [8, 9, 41,42,43]. The same is true for patients with mild cognitive impairment and dementia [7, 44, 45]. In the current study, BVP patients with an additional cognitive deficit showed severe impairment of spatial orientation, a finding well in line with another study describing an association between vestibular loss and cognitive impairment using conditional logistic regression models [14]. In our study, patients with BVP without cognitive impairment, however, in some cases showed a similarly precise directional performance as healthy participants. The latter finding has also been discussed in a recent review on the interaction between the vestibular system, memory, hippocampus, and the striatum [8]. For the postrotation tasks in our study, i.e., paradigms that rely on vestibular function [46, 47], BVP patients with normal cognition showed almost no directional deviation on a group level while still exhibiting increased absolute deviations, hinting at an intact mental representation of the targets. A mostly normal performance was observed in the transformation tasks in BVP patients with normal cognition (Fig. 5). As discussed earlier [48], one possible explanation could be a cognitive compensatory mechanism of the rotation perception, because participants were informed that the rotation without visual feedback would put them back into the initial position, facing the target matrix again straight ahead. This would be in agreement with some BVP patients’ self-report of unaffected spatial performance despite their objectively proven vestibular loss. An additional cognitive deficit, however, might impede this cognitive compensation. The finding that a “compensation” was only seen in azimuth direction is in line with orientation and locomotion preferably optimized in humans and other ground-based species in the horizontal plane [49, 50]. This might also explain why the self-assessment-questionnaire of orientation skills [15] investigated in our study cohort corresponded more with azimuth performance than polar performance (Fig. 3). Another possible confounding factor might be due to a general spatial memory distortion of 3D structures which is biased towards equilateral shapes of height and width: “taller and shorter” [51, 52].
In the current study, a shift towards egocentric mental representation in a heterogeneous group of patients with cognitive impairment could be seen as evident in the preferred pointing strategy applied. An impaired world-based (allocentric) performance with an associated shift to egocentric navigation strategies has been observed in different forms of dementia using navigation tasks, showing clear bias towards more egocentric navigation patterns in patients with, e.g., Alzheimer’s dementia [53,54,55]. Old age in general seems to impair switching towards allocentric navigation strategies [56]. For vestibular dysfunction, one recent study showed no clear tendency towards allo- or egocentric navigation strategies in a virtual environment [57]. The authors of the latter study explained this finding partially with the time course of vestibular hypofunction in their patient cohort. Thus, our study appears to be the first to demonstrate a shift towards retinotopic/egocentric spatial strategies in patients with cognitive decline, independent of the particular diagnosis.
In our patient cohort, the 3D-RWPT performance could discriminate between cognitive impairment and normal cognition, especially when considering both angular deviation and the employed pointing strategy. In participants with normal cognitive function, it could not reliably discriminate BVP patients from healthy participants. However, this was not the aim of our study, since other reliable diagnostic criteria for the diagnosis of BVP exist [26]. The clinical relevance of performing 3D RWPT in patients with BVP is to disclose a combination of vestibular loss and impending dementia because both conditions are not rare in the elderly. If a combination is diagnosed, cognitive training including spatial orientation and navigation can be beneficial. The latter also includes the long-term evaluation of visuospatial deficits following an acute unilateral vestibular loss [58].
A relevant limitation of this study lies in the heterogeneity of the cognitive impairment subgroup which included a variety of different etiologies and duration and stage of disease. Here, further research with more homogenous groups of e.g., solely Alzheimer’s dementia, and more detailed clinical data including A/T/N-classification and disease duration, would be desirable. A second limitation is the rather small overlap group of vestibular and cognitive deficits (n = 9). For future research, this group should be expanded. Furthermore, collecting 3D-RWPT data in otherwise healthy elderly adults in order to define age-specific cutoffs of expected angular accuracy, could improve the diagnostic value of the test.
In conclusion, the 3D-RWPT offers a fast way of measuring real-world spatial performance and the underlying spatial encoding strategy. It does not require complex setups or a lot of participant instruction, given that it utilizes a common everyday sensorimotor task (pointing). While the accuracy and kinematics in stationary three-dimensional subject-world interaction tasks such as pointing or grasping have been examined in a variety of neurological conditions such as movement disorders or autism [59,60,61], the individual method of interaction (i.e., underlying spatial coding and employed strategy) is often neglected. Compared to other potential biophysical biomarkers of spatial abilities (such as virtual reality (VR) testing setups which methodically elicit a discrepancy of visual and vestibular input [62]), it provides a physiological stimulus in a real-world environment. It offers additional insight compared to questionnaires or pen-and-paper tests, while not requiring complex setups like real-world-navigation tests. As discussed above, it appears that a combination of parameters (such as employed spatial encoding strategy, overall precision, overall accuracy, resulting shape configuration) is required to adequately assess spatial performance and uncover disease-specific subtypes of impairment of spatial orientation. It might be suitable to disclose disease specific differences in other conditions such as Parkinson’s disease, Lewy body dementia, frontotemporal dementia or posterior cortical atrophy. Pointing at remembered targets with additional transformation paradigms can therefore add valuable insights not only into preclinical stages of cognitive decline but also into the vestibular aspects of spatial cognition. Further research is needed especially in longitudinal patient cohorts with clearly defined cognitive deficits to assess the clinical significance of impaired accuracy/precision or strategy shift in the 3D-RWPT as a potential biomarker.
Availability of data and materials
The data that support the findings of this study are not publicly available due to patient and participant privacy, but anonymized group- or paradigm-wise datasets are available on reasonable request from the corresponding author [JG].
References
Chang LYL, Lowe J, Ardiles A, et al. Alzheimer’s disease in the human eye. Clinical tests that identify ocular and visual information processing deficit as biomarkers. Alzheimers Dement. 2014;10:251–61. https://doi.org/10.1016/j.jalz.2013.06.004.
Chapleau M, La Joie R, Yong K, et al. Demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy: an international cohort study and individual participant data meta-analysis. Lancet Neurol. 2024;23(2):168–77. https://doi.org/10.1016/S1474-4422(23)00414-3.
França M, Parada Lima J, Oliveira A, et al. Visuospatial memory profile of patients with Parkinson’s disease. Appl Neuropsychol Adult. 2023. https://doi.org/10.1080/23279095.2023.2256918.
Ciafone J, Little B, Thomas AJ, et al. (2020) The neuropsychological profile of mild cognitive impairment in Lewy body dementias. J Int Neuropsychol Soc. 2020;26(2):210–25. https://doi.org/10.1017/S1355617719001103.
Gordon BA, Blazey TM, Su Y, et al. Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer’s disease: a longitudinal study. Lancet Neurol. 2018;17:241–50. https://doi.org/10.1016/S1474-4422(18)30028-0.
Puthusseryppady V, Morrissey S, Spiers H, et al. Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests. Sci Rep. 2022;12:13397. https://doi.org/10.1038/s41598-022-17634-w.
Tangen GG, Nilsson MH, Stomrud E, et al. Spatial navigation and its association with biomarkers and future dementia in memory clinic patients without dementia. Neurology. 2022;99:e2081–91. https://doi.org/10.1212/WNL.0000000000201106.
Smith PF. Recent developments in the understanding of the interactions between the vestibular system, memory, the hippocampus, and the striatum. Front Neurol. 2022;13: 986302. https://doi.org/10.3389/fneur.2022.986302.
Brandt T, Schautzer F, Hamilton DA, et al. Vestibular loss causes hippocampal atrophy and impaired spatial memory in humans. Brain. 2005;128:2732–41. https://doi.org/10.1093/brain/awh617.
Kremmyda O, Hüfner K, Flanagin VL, et al. Beyond dizziness: virtual navigation, spatial anxiety and hippocampal volume in bilateral vestibulopathy. Front Hum Neurosci. 2016;10:10. https://doi.org/10.3389/fnhum.2016.00139.
Dobbels B, Peetermans O, Boon B, et al. Impact of bilateral vestibulopathy on spatial and nonspatial cognition: a systematic review. Ear Hear. 2019;40:757–65. https://doi.org/10.1097/AUD.0000000000000679.
Bosmans J, Gommeren H, Mertens G, et al. Associations of bilateral vestibulopathy with cognition in older adults matched with healthy controls for hearing status. JAMA Otolaryngol Head Neck Surg. 2022;148:731–9. https://doi.org/10.1001/jamaoto.2022.1303.
Obermann M, Gebauer A, Arweiler-Harbeck D, et al. Cognitive deficits in patients with peripheral vestibular dysfunction. Eur J Neurol. 2023.https://doi.org/10.1111/ene.15907.
Wei EX, Oh ES, Harun A, et al. Vestibular loss predicts poorer spatial cognition in patients with Alzheimer’s disease. J Alzheimers Dis. 2018;61:995–1003. https://doi.org/10.3233/JAD-170751.
Hegarty M, Richardson AE, Montello DR, et al. Development of a self-report measure of environmental spatial ability. Intelligence. 2002;30:425–47. https://doi.org/10.1016/S0160-2896(02)00116-2.
Allison SL, Rodebaugh TL, Johnston C, et al. Developing a spatial navigation screening tool sensitive to the preclinical Alzheimer disease continuum. Arch Clin Neuropsychol. 2019;34:1138–55. https://doi.org/10.1093/arclin/acz019.
Cogné M, Taillade M, N’Kaoua B, et al. The contribution of virtual reality to the diagnosis of spatial navigation disorders and to the study of the role of navigational aids: a systematic literature review. Ann Phys Rehabil Med. 2017;60:164–76. https://doi.org/10.1016/j.rehab.2015.12.004.
Gerb J, Brandt T, Dieterich M. Different approaches to test orientation of self in space: comparison of a 2D pen-and-paper test and a 3D real-world pointing task. J Neurol. 2022. https://doi.org/10.1007/s00415-022-11446-8.
Flanagin VL, Fisher P, Olcay B, et al. A bedside application-based assessment of spatial orientation and memory: approaches and lessons learned. J Neurol. 2019;266(Suppl 1):126–38. https://doi.org/10.1007/s00415-019-09409-7.
Weisberg SM, Schinazi VR, Newcombe NS, et al. Variations in cognitive maps: understanding individual differences in navigation. J Exp Psychol Learn Mem Cogn. 2014;40(3):669–82.
Carbone E, Meneghetti C, Borella E. The influence of personality traits and facets on visuo-spatial task performance and self-assessed visuo-spatial inclinations in young and older adults. PLoS ONE. 2019;14: e0220525. https://doi.org/10.1371/journal.pone.0220525.
Taillade M, N’Kaoua B, Sauzéon H. Age-related differences and cognitive correlates of self-reported and direct navigation performance: the effect of real and virtual test conditions manipulation. Front Psychol. 2015;6:2034. https://doi.org/10.3389/fpsyg.2015.02034.
Gerb J, Brandt T, Dieterich M. Different strategies in pointing tasks and their impact on clinical bedside tests of spatial orientation. J Neurol. 2022. https://doi.org/10.1007/s00415-022-11015-z.
Gerb J, Brandt T, Dieterich M. Shape configuration of mental targets representation as a holistic measure in a 3D real world pointing test for spatial orientation. Sci Rep. 2023;13:20449. https://doi.org/10.1038/s41598-023-47821-2.
Anderson JR. Cognitive psychology and its implications. 9th ed. Swansea, UK: Worth Publishers/Macmillan Learning; 2020.
Strupp M, Kim JS, Murofushi T, et al. Bilateral vestibulopathy: diagnostic criteria consensus document of the classification committee of the Bárány Society. J Vestib Res. 2017;27:177–89. https://doi.org/10.3233/VES-170619.
Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–9. https://doi.org/10.1111/j.1532-5415.2005.53221.x.
Kessels RPC, de Vent NR, Bruijnen CJWH, et al. Regression-based normative data for the Montreal Cognitive Assessment (MoCA) and its memory index score (MoCA-MIS) for Individuals Aged 18–91. J Clin Med. 2022;11:4059. https://doi.org/10.3390/jcm11144059.
Brandt T, Dieterich M. The dizzy patient: don’t forget disorders of the central vestibular system. Nat Rev Neurol. 2017;13:352–62. https://doi.org/10.1038/nrneurol.2017.58.
Dieterich M, Brandt T. Ocular torsion and tilt of subjective visual vertical are sensitive brainstem signs. Ann Neurol. 1993;33:292–9. https://doi.org/10.1002/ana.410330311.
Jongkees LB, Maas JP, Philipszoon AJ. Clinical nystagmography. A detailed study of electro-nystagmography in 341 patients with vertigo. Pract Otorhinolaryngol (Basel). 1962;24:65–93.
Halmagyi GM, Chen L, MacDougall HG, Weber KP, McGarvie LA, Curthoys IS. The Video head impulse test. Front Neurol. 2017;8: 258. https://doi.org/10.3389/fneur.2017.00258.
Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9:97–113. https://doi.org/10.1016/0028-3932(71)90067-4.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13. https://doi.org/10.1046/j.1525-1497.2001.016009606.x.
Beaton DE, Bombardier C, Guillemin F, et al. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine. 2000;25(24):3186–91.
Sardegna J. The encyclopedia of blindness and vision impairment. 2nd ed. New York: Facts on File library of health and living. Facts on File; 2009.
JASP Team. (2023). JASP (2023) JASP (Version 0.18.0) [Computer software]. https://jasp-stats.org/ . Accessed 14 Sep 2023.
West GL, Patai ZE, Coutrot A, et al. Landmark-dependent navigation strategy declines across the human life-span: evidence from over 37,000 participants. J Cogn Neurosci. 2023;35:452–67. https://doi.org/10.1162/jocn_a_01956.
Schindelin J, Arganda-Carreras I, Frise E, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–82. https://doi.org/10.1038/nmeth.2019.
Legland D, Arganda-Carreras I, Andrey P. MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinformatics. 2016;32:3532–4. https://doi.org/10.1093/bioinformatics/btw413.
Schöberl F, Pradhan C, Grosch M, et al. Bilateral vestibulopathy causes selective deficits in recombining novel routes in real space. Sci Rep. 2021;11:2695. https://doi.org/10.1038/s41598-021-82427-6.
Biju K, Wei EX, Rebello E, et al. Performance in Real World- and virtual reality-based spatial navigation tasks in patients with vestibular dysfunction. Otol Neurotol. 2021;42:e1524-1531. https://doi.org/10.1097/MAO.0000000000003289.
Dordevic M, Sulzer S, Barche D, et al. Chronic, mild vestibulopathy leads to deficits in spatial tasks that rely on vestibular input while leaving other cognitive functions and brain volumes intact. Life (Basel). 2021;11:1369. https://doi.org/10.3390/life11121369.
Levine TF, Allison SL, Stojanovic M, et al. Spatial navigation ability predicts progression of dementia symptomatology. Alzheimers Dement. 2020;16:491–500. https://doi.org/10.1002/alz.12031.
Schöberl F, Pradhan C, Irving S, et al. Real-space navigation testing differentiates between amyloid-positive and -negative aMCI. Neurology. 2020;94:e861-873. https://doi.org/10.1212/WNL.0000000000008758.
Seemungal BM, Gunaratne IA, Fleming IO, et al. Perceptual and nystagmic thresholds of vestibular function in yaw. J Vestib Res. 2004;14:461–6.
van Stiphout L, Lucieer F, Pleshkov M, et al. Bilateral vestibulopathy decreases self-motion perception. J Neurol. 2021. https://doi.org/10.1007/s00415-021-10695-3.
Lacroix E, Deggouj N, Edwards MG, et al. The cognitive-vestibular compensation hypothesis: how cognitive impairments might be the cost of coping with compensation. Front Hum Neurosci. 2021;15: 732974. https://doi.org/10.3389/fnhum.2021.732974.
Brandt T, Dieterich M. Right door, wrong floor: a canine deficiency in navigation. Hippocampus. 2013;23(4):245–6. https://doi.org/10.1002/hipo.22091.
Zwergal A, Schöberl F, Xiong G, et al. Anisotropy of human horizontal and vertical navigation in real space: behavioral and PET correlates. Cereb Cortex. 2016;26:4392–404. https://doi.org/10.1093/cercor/bhv213.
Ertl M, Klaus M, Brandt T, et al. Distorted mental spatial representation of multi-level buildings - humans are biased towards equilateral shapes of height and width. Sci Rep. 2019;9:15046. https://doi.org/10.1038/s41598-019-50992-6.
Brandt T, Huber M, Schramm H, et al. Taller and shorter: human 3-D spatial memory distorts familiar multilevel buildings. PLoS ONE. 2015;10:e0141257. https://doi.org/10.1371/journal.pone.0141257.
Da Costa RQM, Pompeu JE, de Viveiro LAP, et al. Spatial orientation tasks show moderate to high accuracy for the diagnosis of mild cognitive impairment: a systematic literature review. Arq Neuropsiquiatr. 2020;78:713–23. https://doi.org/10.1590/0004-282X20200043.
Hashimoto R, Uechi M, Komori N. Egocentric and Allocentric Spatial Cognition in Amnestic Mild Cognitive Impairment and early Alzheimer’s Disease. Eur Neurol. 2020;83:395–403. https://doi.org/10.1159/000509495.
Ruggiero G, Ruotolo F, Iavarone A, et al. Allocentric coordinate spatial representations are impaired in aMCI and Alzheimer’s disease patients. Behav Brain Res. 2020;393: 112793. https://doi.org/10.1016/j.bbr.2020.112793.
Harris MA, Wiener JM, Wolbers T. Aging specifically impairs switching to an allocentric navigational strategy. Front Aging Neurosci. 2012;4: 29. https://doi.org/10.3389/fnagi.2012.00029.
Gammeri R, Léonard J, Toupet M, et al. Navigation strategies in patients with vestibular loss tested in a virtual reality T-maze. J Neurol. 2022;269:4333–48. https://doi.org/10.1007/s00415-022-11069-z.
Oh S-Y, Nguyen TT, Kang J-J, et al. Visuospatial cognition in acute unilateral peripheral vestibulopathy. Front Neurol. 2023;14:14. https://doi.org/10.3389/fneur.2023.1230495.
Fasano A, Mazzoni A, Falotico E. Reaching and grasping movements in Parkinson’s disease: a review. J Parkinsons Dis. 2022;12:1083–113. https://doi.org/10.3233/JPD-213082.
Sacrey LAR, Germani T, Bryson SE, et al. Reaching and grasping in autism spectrum disorder: a review of recent literature. Front Neurol. 2014;5:6. https://doi.org/10.3389/fneur.2014.00006.
Reilmann R, Bohlen S, Klopstock T, et al. Grasping premanifest Huntington’s disease - shaping new endpoints for new trials. Mov Disord. 2010;25:2858–62. https://doi.org/10.1002/mds.23300.
Hejtmanek L, Starrett M, Ferrer E, et al. How much of what we learn in virtual reality transfers to real-world navigation? Multisens Res. 2020;33:479–503. https://doi.org/10.1163/22134808-20201445.
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We thank Katie Göttlinger for copy editing the manuscript.
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Open Access funding enabled and organized by Projekt DEAL. The present study was supported by the Hertie Foundation to TB, and by the Deutsche Stiftung Neurologie (DSN; project 80766113) and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany‘s Excellence Strategy (Munich Cluster for Systems Neurology: EXC 2145 SyNergy) to MD.
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JG: data collection, data curation, statistical analysis, interpretation of data, drafting the manuscript, drafting of tables, drafting of figures; TB: study concept and design, interpretation of data, drafting and revising the manuscript; MD: study concept and design, providing funding, interpretation of data, drafting and revising the manuscript.
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The data protection clearance and Institutional Review Board of the Ludwig-Maximilians-University, Munich, Germany approved the study (no. 094 − 10), and all patients gave informed consent. The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
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Gerb, J., Brandt, T. & Dieterich, M. A clinical 3D pointing test differentiates spatial memory deficits in dementia and bilateral vestibular failure. BMC Neurol 24, 75 (2024). https://doi.org/10.1186/s12883-024-03569-4
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DOI: https://doi.org/10.1186/s12883-024-03569-4