Evidence map›Paper›PMID 39850970›Full record

ArticleFrontiers in psychology2024

Effectiveness of a home-based computerized cognitive training in Parkinson's disease: a pilot randomized cross-over study.

Serena Tagliente, Brigida Minafra, Simona Aresta, Paola Santacesaria, Andrea Buccoliero, Cinzia Palmirotta, Gianvito Lagravinese, Davide Mongelli, Christian Gelao, Luigi Macchitella and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07411365 (Efficacy of Dual-task Telerehabilitation to Prevent Worsening in Activities of Daily Living in People With Parkinson's Disease at High Risk for Dementia), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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.

NCT07411365 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Efficacy of Dual-task Telerehabilitation to Prevent Worsening in Activities of Daily Living in People With Parkinson's Disease at High Risk for Dementia: A Proof-of-concept Study

TypeinterventionalSponsorUniversity Hospital TuebingenRan2026 to 2027Enrolled42ConditionsPARKINSON DISEASE (Disorder), Mild Cognitive Impairment (MCI)ArmsDual-task Cognitive Motor Training, Cognitive Motor Training
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Neuropsychiatric disorders in Parkinson's disease.Therapeutic advances in neurological disorders · 2025
    Review
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

14 authors.

Serena Tagliente *Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Brigida Minafra *Istituti Clinici Scientifici Maugeri IRCCS, Neurorehabilitation Unit of Bari Institute, Bari, Italy.
Simona ArestaIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Paola SantacesariaIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Andrea BuccolieroR&D Department GPI SpA, Università degli Studi di Verona, Verona, Italy.
Cinzia PalmirottaIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Gianvito LagravineseIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Davide MongelliIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Christian GelaoIstituti Clinici Scientifici Maugeri IRCCS, Neurorehabilitation Unit of Bari Institute, Bari, Italy.
Luigi MacchitellaUnit for Severe Disabilities in Developmental Age and Young Adults (Developmental Neurology and Neurorehabilitation), Associazione "La Nostra Famiglia" - IRCCS "E. Medea", Scientific Hospital for Neurorehabilitation, Brindisi, Italy.
Stefania PazziUnit for Severe Disabilities in Developmental Age and Young Adults (Developmental Neurology and Neurorehabilitation), Associazione "La Nostra Famiglia" - IRCCS "E. Medea", Scientific Hospital for Neurorehabilitation, Brindisi, Italy.
Domenico ScrutinioConsorzio di Bioingegneria e Informatica Medica (CBIM), Pavia, Italy.
Paola BaiardiIstituti Clinici Scientifici Maugeri IRCCS, Direzione Scientifica Centrale of Pavia Institute, Pavia, Italy.
Petronilla BattistaIstituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design. Methods: Twenty-five participants (mean age 69.32 ± 7.21 years, mean MDS-UPDRS III 33.76 ± 14.25) with PD and mild cognitive impairment were enrolled. They underwent neuropsychological assessments at three time points (5-week intervals): Baseline, after the HB-CCTi, and after Standard Care. The HB-CCT consisted of the Neurotablet Results: The results from the Friedman analysis revealed significant improvements in Word List Immediate Recall, Digit Span Forward and Complex Figure Recall (all Discussion: These findings suggest that HB-CCT via Neurotablet can effectively enhance specific cognitive abilities in PD, supporting the role of digital, home-based interventions as feasible strategies to mitigate cognitive decline.

Indexed as

cognitive trainingneuropsychologyPDrehabilitationtelerehabilitation

Identifiers

PMID39850970
PMCPMC11754226

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Registered trials

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.