A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memory.
Overview
- Department of Public Health Sciences, The University of Chicago Chicago United States
- Department of Neurology, The University of Chicago Chicago United States
Abstract
Episodic memory is critically dependent on the hippocampal network and is frequently impaired in many clinical disorders. Recent findings highlight Hippocampal Indirectly Targeted Stimulation (HITS) as a promising, network-guided non-invasive transcranial magnetic stimulation (TMS) procedure to enhance episodic memory performance. Here, we report the first comprehensive meta-analysis of HITS effects on episodic memory, encompassing both healthy individuals and clinical populations. HITS using parieto-occipital network targets robustly improved episodic memory, with effects selective for episodic memory versus other non-memory cognitive domains. Efficacy was significantly greater when memory performance was assessed using memory tasks sensitive to recollection, which is strongly linked to hippocampal network function, compared to recognition or other types of episodic memory tasks. Efficacy was also significantly greater when HITS was delivered before the memory tasks were administered versus in the period between study and test phases of tasks. No serious adverse events were reported. These findings establish HITS as a robust approach for episodic memory enhancement, suggesting potential for clinical translation in memory disorders. Selectivity of effects for episodic memory generally and for recollection-format tests in particular indicates cognitive and mechanistic specificity, supporting the potential for targeted and selective neuromodulation of hippocampal networks and their associated functions.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
No file of the authors' code could be read here: it is described below, and read at its source.
doi:10.5061/dryad.vhhmgqp86
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
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Data
No dataset and no data link were found in the paper.
Data availability
A table of standardized effect sizes categorized by study and by the factor categories to which they were assigned for analysis, along with analysis code for reproducing findings are deposited in Dryad (datadryad.org), available for download at: https://
The following dataset was generated:
Badillo GoicoecheaE AgresP RauJ San AgustínA VossJL 2026Data and code from: A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memoryDryad Digital Repository10.5061/
Reproduced under the paper's license (CC BY), from the paper cited above.
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 5 authors, 6 keywords, 5 MeSH terms, 62 references.
Cite
This paper
Badillo Goicoechea, E., Agres, P. F., Rau, J. M., San Agustin, A., & Voss, J. L. (2026). A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memory. eLife, 14, RP108934. https://
BibTeX
@article{badillogoicoech
author = {Badillo Goicoechea, Elena and Agres, Phillip F and Rau, Johanna MH and San Agustin, Arantzazu and Voss, Joel L},
title = {{A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memory}},
journal = {eLife},
year = {2026},
month = may,
volume = {14},
pages = {RP108934},
publisher = {eLife Sciences Publications, Ltd},
issn = {2050-084X},
doi = {10.7554/
url = {https://
pmid = {42132124},
pmcid = {PMC13175575}
}
RIS
TY - JOUR
AU - Badillo Goicoechea, Elena
AU - Agres, Phillip F
AU - Rau, Johanna MH
AU - San Agustin, Arantzazu
AU - Voss, Joel L
TI - A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memory
T2 - eLife
J2 - eLife
PY - 2026
DA - 2026/
VL - 14
SP - RP108934
SN - 2050-084X
PB - eLife Sciences Publications, Ltd
DO - 10.7554/
UR - https://
LA - en
ER -
CSL-JSON
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