Evidence map›Paper›PMID 30921609›Full record

Trial reportNeuroImage. Clinical2019

Personalized transcranial alternating current stimulation (tACS) and physical therapy to treat motor and cognitive symptoms in Parkinson's disease: A randomized cross-over trial.

Alessandra Del Felice, Leonora Castiglia, Emanuela Formaggio, Manuela Cattelan, Bruno Scarpa, Paolo Manganotti, Elena Tenconi, Stefano Masiero

2 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 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.

NCT03221413 nacompletednot on this map

A Translational, Multimodal Approach to Implementing Non-invasive Paradigms for the Treatment of Oscillopathies

TypeinterventionalSponsorUniversity of PadovaRan2016 to 2019Enrolled30ConditionsParkinson Disease, PainArmstranscranial alternating current stimulation (tACS)
NCT06467695 narecruitingnot on this mapstarted 2024, after this paper: background citation

The Effect of MRI-Guided Transcranial Direct Current Stimulation on Cognitive and Affective Symptoms in Persons With Parkinson's Disease and Controls

TypeinterventionalSponsorUniversity of South AlabamaRan2024 to 2027Enrolled40ConditionsParkinson Disease, Depressive SymptomsArmsBIOPAC Stimsola, BIOPAC Stimsola Sham (zero amps)
3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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16 more citing papers are in PubMed but not listed here.

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

8 authors.

Alessandra Del FeliceDepartment of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Padova, Italy. Electronic address: alessandra.delfelice@unipd.it.
Leonora CastigliaDepartment of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Padova, Italy. Electronic address: leonoracastiglia@gmail.com.
Emanuela FormaggioDepartment of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Padova, Italy. Electronic address: emanuela.formaggio@unipd.it.
Manuela CattelanDepartment of Statistical Sciences, University of Padova, via C. Battisti 241, 35121 Padova, Italy. Electronic address: manuela.cattelan@stat.unipd.it.
Bruno ScarpaDepartment of Statistical Sciences, University of Padova, via C. Battisti 241, 35121 Padova, Italy. Electronic address: scarpa@stat.unipd.it.
Paolo ManganottiNeurology Section, Cattinara University Hospital, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy. Electronic address: pmanganotti@units.it.
Elena TenconiDepartment of Neuroscience, Psychiatric Clinic, University of Padova, Via Giustiniani 3, 35128 Padova, Italy. Electronic address: elena.tenconi@unipd.it.
Stefano MasieroDepartment of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Padova, Italy. Electronic address: stef.masiero@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal cortical oscillations are markers of Parkinson's Disease (PD). Transcranial alternating current stimulation (tACS) can modulate brain oscillations and possibly impact on behaviour. Mapping of cortical activity (prevalent oscillatory frequency and topographic scalp distribution) may provide a personalized neurotherapeutic target and guide non-invasive brain stimulation. This is a cross-over, double blinded, randomized trial. Electroencephalogram (EEG) from participants with PD referred to Specialist Clinic, University Hospital, were recorded. TACS frequency and electrode position were individually defined based on statistical comparison of EEG power spectra maps with normative data from our laboratory. Stimulation frequency was set according to the EEG band displaying higher power spectra (with beta excess on EEG map, tACS was set at 4 Hz; with theta excess, tACS was set at 30 Hz). Participants were randomized to tACS or random noise stimulation (RNS), 5 days/week for 2-weeks followed by ad hoc physical therapy. EEG, motor (Unified Parkinson's Disease Rating Scale-motor: UPDRS III), neuropsychological (frontal, executive and memory tests) performance and mood were measured before (T

Indexed as

AgedAged, 80 and overBrain WavesBreathing ExercisesCognitive DysfunctionCombined Modality TherapyCross-Over StudiesDouble-Blind MethodExercise TherapyFemaleHumansHypokinesiaMaleMiddle AgedOutcome Assessment, Health CareParkinson DiseaseElectroencephalographyNeurophysiologyNeurotherapeutic targetNon-invasive brain stimulation (NIBS)Unified Parkinson's disease rating scale (UPDRS III)

Identifiers

PMID30921609
PMCPMC6439208

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.