Evidence map›Paper›PMID 40200361›Full record

ArticleAlzheimer's research & therapy2025

Anticipatory reaching motor behavior characterizes patients within the Alzheimer's disease continuum in a virtual reality environment.

Alessia de Nobile, Ilaria Borghi, Paolo De Pasquale, Denise Jennifer Berger, Antonella Maselli, Francesco Di Lorenzo, Elena Savastano, Martina Assogna, Andrea Casarotto, Daniele Bibbo and 5 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Pain differences in cognitive impairment appear only during active motor tasks.Frontiers in pain research (Lausanne, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Alessia de NobileDepartment of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, Roma, 00146, Italy.
Ilaria BorghiExperimental Neuropsychophysiology Lab, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Paolo De PasqualeIRCCS Centro Neurolesi Bonino-Pulejo, Via Palermo S.S. 113- Contrada Casazza, Messina, 98124, Italy.
Denise Jennifer BergerLaboratory of Neuromotor Physiology, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Antonella MaselliInstitute of Cognitive Sciences and Technologies, National Research Council (CNR), Via Giandomenico Romagnosi 18A, Rome, 00196, Italy.
Francesco Di LorenzoExperimental Neuropsychophysiology Lab, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Elena SavastanoExperimental Neuropsychophysiology Lab, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Martina AssognaExperimental Neuropsychophysiology Lab, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Andrea CasarottoCenter for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology (IIT), Via Fossato di Mortara 19, Ferrara, 44121, Italy.
Daniele BibboDepartment of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, Roma, 00146, Italy.
Silvia ConfortoDepartment of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, Roma, 00146, Italy.
Francesco LacquanitiLaboratory of Neuromotor Physiology, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Giacomo KochExperimental Neuropsychophysiology Lab, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Andrea d'AvellaLaboratory of Neuromotor Physiology, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy.
Marta RussoLaboratory of Neuromotor Physiology, IRCSS Fondazione Santa Lucia, Via Ardeatina 306, Roma, 00179, Italy. marta.russo@istc.cnr.it.

Funding

Ministero della Salute SG-2018-12366101
6 · The paper itself

Abstract

backgroundAlzheimer's Disease (AD) is characterized by progressive declines in cognitive and motor functions, impairing daily activities. Traditionally, AD diagnosis relies on cognitive assessments, but emerging evidence highlights motor function deficits as early indicators of AD and Mild Cognitive Impairment (MCI). These motor declines, which often precede cognitive symptoms, include slower and less accurate reaching movements. This study explored reaching actions in a Virtual Reality (VR) environment in AD and MCI patients to identify motor deficits and their link to cognitive decline.

methodsThe study involved 61 right-handed participants (19 AD, 21 MCI, and 21 healthy age-matched controls), screened for cognitive health using a Mini-Mental State Examination (MMSE). Participants performed upper-limb motor tasks (sequentially reaching targets) in a Virtual Reality (VR). Kinematic data was recorded and analyzed focusing on task success rate, frequency of anticipatory responses, and direction of anticipatory responses. Statistical analysis was performed using Generalized Linear Mixed Models to differentiate the three groups of participants based on performance metrics, anticipation behavior, and the correlation between anticipation rate and MMSE score.

resultsBoth AD and MCI patients showed more anticipatory responses than healthy controls (HC), inversely related to success rates and cognitive function. AD patients exhibited lower success rates and a higher frequency of anticipatory responses, often biased toward previous trial targets, suggesting impaired motor planning or difficulty adapting to new cues. MCI patients showed an intermediate pattern, with more anticipatory responses than HC but comparable success rates. These results highlight the crucial role of anticipatory behavior in motor task performance, with AD patients displaying the most pronounced deficits.

conclusionsThis study highlights significant impairments of reaching movements in AD patients, particularly in terms of anticipatory behavior and success rates. The observed deficits suggest that kinematic metrics could serve as early biomarkers for diagnosis and intervention. These findings emphasize the importance of combining cognitive and sensorimotor assessments for the early detection of AD-related motor dysfunctions. Additionally, they highlight the potential of VR-based motor rehabilitation as a promising approach to address sensorimotor deficits in the AD continuum, improving both motor and cognitive outcomes.

Indexed as

Alzheimer DiseaseAnticipation, PsychologicalCognitive DysfunctionPsychomotor PerformanceVirtual RealityAgedAged, 80 and overBiomechanical PhenomenaFemaleHumansMaleMiddle AgedNeuropsychological TestsAlzheimerAnticipatory behaviorCognitive deficitsKinematic analysisReaching taskSensorimotor impairmentsVirtual reality

Identifiers

PMID40200361
PMCPMC11980269

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.