Evidence map›Paper›PMID 40955349›Full record

ArticleCase reports in neurological medicine2025

High Technology-Assisted Rehabilitation Based on Neuropsychological Assessments in a Case of Severe Acquired Brain Injury.

Cira Fundarò, Marina Maffoni, Mirella Boselli

Abstract readCase Reports
In one paragraph

Article in Case reports in neurological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Cira FundaròNeuropathophysiology Unit of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Montescano, Pavia, Italy.ORCID https://orcid.org/0000-0002-7810-8885
Marina MaffoniPsychology Unit of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Montescano, Pavia, Italy.ORCID https://orcid.org/0000-0002-3360-7293
Mirella BoselliNeuromotor Rehabilitation Unit of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Montescano, Pavia, Italy.ORCID https://orcid.org/0000-0003-4545-5271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rehabilitation of patients with severe acquired brain injury (sABI) presents various challenges. There is still a lack of knowledge regarding the efficacy and timing of high-technology (HT) rehabilitation in this clinical population. This paper describes the rehabilitation of a 56-year-old Caucasian woman who developed sABI due to the spontaneous rupture of multiple left middle cerebral artery aneurysms. The focus is on the interconnection between cognitive resources and motor-cognitive abilities to implement HT rehabilitation as early as possible, aiming to maximize the restoration of both motor and cognitive deficits. Following the acute clinical phase, the patient underwent an intensive multidisciplinary rehabilitation, which is described in this paper. The main target was the superior limb training with HT using an upper limb exoskeleton and augmented feedback exercises. The rehabilitative exercises have been selected and timed according to the neuropsychological assessment. The patient showed progressive cognitive and upper limb motor recovery along the tailored rehabilitative path. This case study provides useful insights into the value of a customized motor-cognitive HT rehabilitative approach, allowing for the best possible functional outcome in a case of sABI.

Indexed as

high technology–assisted rehabilitationmotor-cognitive rehabilitationneuropsychological assessmentnontraumatic severe acquired brain injury (sABI)plasticityupper limb rehabilitation

Identifiers

PMID40955349
PMCPMC12433737

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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.