The Swedish National Quality Register for Repetitive Transcranial Magnetic Stimulation

The Q-rTMS combines high coverage with longitudinal documentation of clinically relevant outcome measures and may hence contribute to population-based real-world effectiveness research in rTMS for depression.

Authors

Institutions

Publication Details

Journal
Acta Psychiatrica Scandinavica
Published
2026-02-26
DOI
https://doi.org/10.1111/acps.70082
Primary Topic
Transcranial Magnetic Stimulation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Swedish National Quality Register for Repetitive Transcranial Magnetic Stimulation

Pia Nordanskog, Robert Bodén, Carl Johan Ekman, Fredrik Hieronymus et al.
Acta Psychiatrica Scandinavica
Transcranial Magnetic Stimulation Studies
article

The Swedish National Quality Register for Repetitive Transcranial Magnetic Stimulation

Pia Nordanskog, Robert Bodén, Carl Johan Ekman, Fredrik Hieronymus, Johan Lundberg, S Melker Hagsäter
article en

Abstract

The Q-rTMS combines high coverage with longitudinal documentation of clinically relevant outcome measures and may hence contribute to population-based real-world effectiveness research in rTMS for depression.

Acta Psychiatrica Scandinavica
Linköping University (SE), Uppsala University (SE), Uppsala University Hospital (SE), Örebro University (SE), Department of Medical Sciences (RU), Kungälvs Sjukhus (SE), Stockholm Health Care Services (SE), University of Gothenburg (SE)
Openalex Percentile: Top 52%
Transcranial Magnetic Stimulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.