Evidence map›Paper›PMID 30487063›Full record

ReviewNeurophysiologie clinique = Clinical neurophysiology2018

Brain imaging of locomotion in neurological conditions.

Gilles Allali, Helena M Blumen, Hervé Devanne, Elvira Pirondini, Arnaud Delval, Dimitri Van De Ville

Open access · greenAbstract readReview
In one paragraph

Review in Neurophysiologie clinique = Clinical neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Non-invasive brain imaging to advance the understanding of human balance.Current opinion in biomedical engineering · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Validation of Soft Multipin Dry EEG Electrodes.Sensors (Basel, Switzerland) · 2021
    Article
  18. Non-invasive molecular imaging of kidney diseases.Nature reviews. Nephrology · 2021
    Review
  19. Article
  20. 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

6 authors at 4 institutions in 3 countries.

Gilles AllaliDepartment of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA. Electronic address: gilles.allali@hcuge.ch.
Helena M BlumenDepartment of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA; Department of Medicine, Division of Geriatrics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Hervé DevanneDepartment of Clinical Neurophysiology, Lille University Medical Center, Lille, France; EA 7369, URePSSS, Unité de Recherche Pluridisciplinaire Sport Santé Société, Université du Littoral Côte d'Opale, Calais, France.
Elvira PirondiniDepartment of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Arnaud DelvalDepartment of Clinical Neurophysiology, Lille University Medical Center, Lille, France; Unité Inserm 1171, Faculté de Médecine, Université de Lille, Lille, France.
Dimitri Van De VilleDepartment of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Albert Einstein College of Medicine · USUniversity of Geneva · CHUnité de Recherche Pluridisciplinaire Sport, Santé, Société · FRUniversité de Lille · FR

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Motor Imagery: A Pilot Intervention for Improving Gait and Cognition in the ElderlyK01AG049829 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BLUMEN, HELENA M · 2016 to 2019
$522k
NCATS NIH HHS UL1 TR002556NIA NIH HHS K01 AG049829
6 · The paper itself

Abstract

Impaired locomotion is a frequent and major source of disability in patients with neurological conditions. Different neuroimaging methods have been used to understand the brain substrates of locomotion in various neurological diseases (mainly in Parkinson's disease) during actual walking, and while resting (using mental imagery of gait, or brain-behavior correlation analyses). These studies, using structural (i.e., MRI) or functional (i.e., functional MRI or functional near infra-red spectroscopy) brain imaging, electrophysiology (i.e., EEG), non-invasive brain stimulation (i.e., transcranial magnetic stimulation, or transcranial direct current stimulation) or molecular imaging methods (i.e., PET, or SPECT) reveal extended brain networks involving both grey and white matters in key cortical (i.e., prefrontal cortex) and subcortical (basal ganglia and cerebellum) regions associated with locomotion. However, the specific roles of the various pathophysiological mechanisms encountered in each neurological condition on the phenotype of gait disorders still remains unclear. After reviewing the results of individual brain imaging techniques across the common neurological conditions, such as Parkinson's disease, dementia, stroke, or multiple sclerosis, we will discuss how the development of new imaging techniques and computational analyses that integrate multivariate correlations in "large enough datasets" might help to understand how individual pathophysiological mechanisms express clinically as an abnormal gait. Finally, we will explore how these new analytic methods could drive our rehabilitative strategies.

Indexed as

LocomotionBrainHumansNervous System DiseasesNeural PathwaysNeuroimagingDementiaGait disordersMethodsMultiple Sclerosis.NeuroimagingNeurological conditionsParkinson's diseaseReviewStroke

Identifiers

PMID30487063
PMCPMC6563601
OpenAlexW2898380733

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.