Age-related impairments during spatial navigation have been widely reported in egocentric and allocentric paradigms. However, the effect of age on more specific navigational components such as the ability to drive or update directional information has not received enough attention. In this study we investigated the effect of age on spatial updating of a visual target after a series of whole–body rotations and transitions using a novel landmark-less virtual reality (VR) environment. Moreover, a significant number of previous studies focused on measures susceptible to a general decline in motor skills such as the spent time navigating, the distance traversed. The current paper proposes a new compound spatial measure to assess navigational performance, examines its reliability and compares its power with those of the measures of duration and traversed distance in predicting participants' age and cognitive groups assessed by Montreal Cognitive Assessment (MoCA) scores. Using data from 319 adults (20–83 years), our results confirm the reliability, the age sensitivity, and the cognitive validity of the designed spatial measure as well as its superiority to the measures of duration and traversed distance in predicting age and MoCA score. In addition, the results show the significant effect of age cognitive status on spatial updating.
ArnoldA., BurlesF., KrivoruchkoT., LiuI., ReyC., LevyR., & IariaG. (2013). Cognitive mapping in humans and its relationship to other orientation skills. Experimental Brain Research, 224, 359–372. doi:10.1007/s00221-012-3316-0
4.
Banta LavenexP., LecciS., PrêtreV., BrandnerC., MazzaC., PasquierJ., & LavenexP. (2011). As the world turns: Short-term human spatial memory in egocentric and allocentric coordinates. Behavioural Brain Research, 219(1), 132–141. doi:10.1016/j.bbr.2010.12.035
BaumannO., ChanE., & MattingleyJ. B. (2012). Distinct neural networks underlie encoding of categorical versus coordinate spatial relations during active navigation. NeuroImage, 60(3), 1630–1637. doi:10.1016/j.neuroimage.2012.01.089
7.
ByagowiA., MohaddesD., & MoussaviZ. (2014). Design and application of a novel Virtual Reality navigational Technology (VRNChair). Journal of Experimental Neuroscience, 8, 7–14.
8.
ByagowiA., & MoussaviZ. (2012, August). Design of a Virtual Reality navigational experiment for assessment of egocentric spatial cognition. Paper presented at 34th Annual International Conference of the IEEE EMBS, San Diego, CA, USA.
9.
ByrneP., BeckerS., & BurgessN. (2007). Remembering the past and imagining the future: A neural model of spatial memory and imagery. Psychological Review, 114(2), 340–375.
10.
CampellD., & FiskeD. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.
11.
CarelliL., RusconiM. L., ScarabelliC., StampatoriC., MattioliF., & RivaG. (2011). The transfer from survey (map-like) to route representations into Virtual Reality Mazes: Effect of age and cerebral lesion. Journal of Neuroengineering and Rehabilitation, 8(1), 6. doi:10.1186/1743-0003-8-6
12.
CavannaA., & TrimbleR. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129(3), 564–583.
13.
CohenJ., CohenP., WestS., & AikenL. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
14.
CushmanL., SteinK., & DuffyC. (2008). Detecting navigational deficits in cognitive aging and Alzheimer disease using Virtual Reality. Neurology, 71, 888–895. doi:10.1212/01.wnl.0000326262.67613.fe49710.1212/WNL.61.11.1491
15.
DarkenR. P., & SibertJ. L. (1993). A toolset for navigation in virtual environments. Proceedings of ACM User Interface Software and Technology (UIST ‘93) (pp. 157–165). New York: ACM.
16.
De LeonibusE., OliverioA., & MeleA. (2005). A study on the role of the dorsal striatum and the nucleus accumbens in allocentric and egocentric spatial memory consolidation. Learning and Memory (Cold Spring Harbor. N.Y.), 12, 491–503.
17.
FarrellM., & RobertsonI. (1998). Mental rotation and automatic updating of body-centered spatial relationships. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 227–233.
18.
FéryY., MagnacR., & IsraëlI. (2004). Commanding the direction of passive whole-body rotations facilitates egocentric spatial updating. Cognition, 91(2), B1–B10.
19.
FolsteinM., FolsteinS., & McHughP. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.
20.
HeadD., & IsomM. (2010). Age effects on wayfinding and route learning skills. Behavioural Brain Research, 209, 49–58. doi:10.1016/j.bbr.2010.01.012
21.
HegartyM., & WallerD. (2004). A dissociation between mental rotation and perspective-taking spatial abilities. Intelligence, 32, 175–191.
22.
HuangR. S., & SerenoM. I. (2013). Bottom-up retinotopic organization supports top-down mental imagery. The Open Neuroimaging Journal, 7, 58–67.
23.
InagakiH., MeguroK., ShimadaM., IshizakiJ., OkuzumiH., & YamadoriA. (2002). Discrepancy between mental rotation and perspective-taking abilities in normal aging assessed by Piaget's three-mountain task. Journal of Clinical and Experimental Neuropsychology (Neuropsychology, Development and Cognition: Section A), 24(1), 18–25.
24.
deIpolyiA., RankinK., MuckeL., MillerB., & Gorno-TempiniM. (2007). Spatial cognition and the human navigation network in AD and MCI. Neurology, 69, 986–997. doi:10.1212/01.wnl.0000271376.19515.c6
25.
KalováE., VlčekK., JarolímováE., & BurešJ. (2005). Allothetic orientation and sequential ordering of places is impaired in early stages of Alzheimer's disease: Corresponding results in real space tests and computer tests. Behavioural Brain Research, 159, 175–186. doi:10.1016/j.bbr.2004.10.016
26.
KesselsR. P. C., van DoormaalA., & JanzenG. (2011). Landmark recognition in Alzheimer's Dementia: Spared implicit memory for objects relevant for navigation. PLoS ONE, 6(4), e18611. doi:10.1371/journal.pone.0018611
27.
KozhevnikovM., MotesM., RaschB., & BlajenkovaO. (2006). Perspective-taking vs. mental rotation transformations and how they predict spatial navigation performance. Applied Cognitive Psychology, 20(3), 397–417.
28.
LithfousS., DufourA., & DesprésO. (2013). Spatial navigation in normal aging and the prodromal stage of Alzheimer's disease: Insights from imaging and behavioral studies. Ageing Research Reviews, 12(1), 201–213.
29.
LiuI., LevyR., BartonJ., & IariaG. (2011). Age and gender differences in various topographical orientation strategies. Brain Research, 1410, 112–119. doi:10.1016/j.brainres.2011.07.005
30.
Lorenzo-LopezL., AmenedoE., Pazo-AlvarezP., & CadaveiraF. (2007). Visual target processing in high- and low-performing older subjects indexed by P3 component. Neurophysiologie Clinique/Clinical Neurophysiology, 37, 53–61.
31.
LovdenM., SchellenbachM., Grossman-HutterB., KrügerA., & LindenbergerU. (2005). Environmental topography and postural control demands shape aging-associated decrements in spatial navigation performance. Psychology and Aging, 20(4), 683–694.
32.
MeulenbroekO., PeterssonK., VoermansN., WeberB., & FernándezG. (2004). Age differences in neural correlates of route encoding and route recognition. NeuroImage, 22, 1503–1514.
33.
MoffatS. (2009). Aging and spatial navigation: What do we know and where do we go?Neuropsychology Review, 19, 478–489. doi:10.1007/s11065-009-9120-3
34.
MoffatS., ElkinsW., & ResnickS. (2006). Age differences in the neural systems supporting human allocentric spatial navigation. Neurobiology of Aging, 27 (7), 965–972. doi:10.1016/j.neurobiolaging.2005.05.011
35.
MoffatS., KennedyK., RodrigueK., & RazN. (2007). Extrahippocampal contributions to age differences in human spatial navigation. Cerebral Cortex, 17, 1274–1282.
36.
MoffatS., & ResnickS. (2002). Effects of age on virtual environment place navigation and allocentric cognitive mapping. Behavioral Neuroscience, 116, 851–859.
37.
MoffatS., ZondermanA., & ResnickS. (2001). Age differences in spatial memory in a virtual environment navigation task. Neurobiology of Aging, 22, 787–796.
38.
MonacelliA., CushmanL., KavcicV., & DuffyC. (2003). Spatial disorientation in Alzheimer's disease: The remembrance of things passed. Neurology, 61(11), 1491–1497.
39.
NasreddineZ., PhillipsN., BédirianV., CharbonneauS., WhiteheadV., CollinI., … ChertkowH. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699.
40.
OshioR., TanakaS., SadatoN., SokabeM., HanakawaT., & HondaM. (2010). Differential effect of double-pulse TMS applied to dorsal premotor cortex and precuneus during internal operation of visuospatial information. NeuroImage, 49(1), 1108–1115.
41.
PazzagliaF., & De BeniR. (2001). Strategies of processing spatial information in survey and landmark-centred individuals. European Journal of Cognitive Psychology, 13(4), 493–508. doi:10.1080/09541440125778
42.
Ranjbar PouyaO., ByagowiA., KellyD., & MoussaviZ. (2013, November). The effect of physical and virtual rotations of a 3D object on spatial perception. Paper presented at 6th International IEEE/EMBS Conference on Neural Engineering (NER), San Diego, CA, USA.
43.
RazN., Gunning-DixonF., HeadD., RodrigueK., WilliamsonA., & AckerJ. (2004). Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume. Neurobiology of Aging, 25, 377–396.
44.
RazN., RodrigueK., KennedyK., HeadD., Gunning-DixonF., & AckerJ. (2003). Differential aging of the human striatum: longitudinal evidence. American Journal of Neuroradiology, 24, 1849–1856.
45.
RoalfaD., MobergaP., SharonX., WolkD., MoeltereS., & ArnoldS. (2013). Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging. Alzheimer's & Dementia, 9, 529–537.
46.
RodgersM., SindoneJ., & MoffatS. (2012). Effects of age on navigation strategy. Neurobiology of Aging, 33(1), 202.e15–22.
47.
SerinoS., & RivaG. (2013). Getting lost in Alzheimer's disease: A break in the mental frame syncing. Medical Hypotheses, 80, 416–421. doi:10.1016/j.mehy.2012.12.031
48.
TaniwakiT., OkayamaA., YoshiuraT., TogaoO., NakamuraY., & YamasakiT. (2007). Age-related alterations of the functional interactions within the basal ganglia and cerebellar motor loops in vivo. Neuroimage, 36(4), 1263–1276.
49.
TaubeJ., ValerioS., & YoderM. (2013). Is navigation in Virtual Reality with fMRI really navigation?Journal of Cognitive Neuroscience, 25(7), 1008–1019. doi:10.1162/jocn_a_00386
50.
WalletG., SauzéonH., LarrueF., & N'KaouaB. (2013). Virtual/real transfer in a large-scale environment: Impact of active navigation as a function of the viewpoint displacement effect and recall tasks. Advances in Human-Computer Interaction, 2013, article no. 879563.
51.
WalletG., SauzéonH., RodriguesJ., & N'KaouaB. (2009). Transfer of spatial knowledge from a virtual environment to reality: Impact of route complexity and subject's strategy on the exploration mode. Journal of Virtual Reality and Broadcasting, 6(4). Retrieved from http://www.jvrb.org/past-issues/6.2009/1757
52.
WatanabeM. (2011). Distinctive features of spatial perspective-taking in the elderly. The International Journal of Aging and Human Development, 72(3), 225–241.
53.
WenigerG., RuhlederM., LangeC., WolfS., & IrleE. (2011). Egocentric and allocentric memory as assessed by Virtual Reality in individuals with amnestic mild cognitive impairment. Neuropsychologia, 49(3), 518–527.
54.
WenigerG., RuhlederM., WolfS., LangeC., & IrleE. (2009). Egocentric memory impaired and allocentric memory intact as assessed by Virtual Reality in subjects with unilateral parietal cortex lesions. Neuropsychologia, 47(1), 59–69.
55.
WestS., FinchJ., & CurranP. (1995). Structural equation models with nonnormal variables: Problems and remedies. In HoyleR. H. (Eds.), Structural equation modeling: Concepts, issues and applications (pp. 56–75). Newbery Park, CA: Sage.
56.
WilknissS., JonesM., KorolD., GoldP., & ManningC. (1997). Age-related differences in an ecologically based study of route learning. Psychology and Aging, 12, 372–375.
57.
WolbersT., HegartyM., BüchelC., & LoomisJ. (2008). Spatial updating: How the brain keeps track of changing object locations during observer motion. Nature Neuroscience, 11, 1223–1230. doi:10.1038/nn.2189
58.
ZaehleT., JordanK., WüstenbergT., BaudewigJ., DechentP., & MastF. (2007). The neural basis of the egocentric and allocentric spatial frame of reference. Brain Research, 1137(1), 92–103. doi:10.1016/j.brainres.2006.12.044
59.
ZenD., ByagowiA., GarciaM., KellyD., LithgowB., & MoussaviZ. (2013, November). The perceived orientation in people with and without Alzheimer's. Paper presented at 6th International IEEE/EMBS Conference on Neural Engineering (NER), San Diego, CA, USA.
