Identifying regions in prefrontal cortex related to working memory improvement: A novel meta-analytic method using electric field modeling. (November 2021)
- Record Type:
- Journal Article
- Title:
- Identifying regions in prefrontal cortex related to working memory improvement: A novel meta-analytic method using electric field modeling. (November 2021)
- Main Title:
- Identifying regions in prefrontal cortex related to working memory improvement: A novel meta-analytic method using electric field modeling
- Authors:
- Wischnewski, Miles
Mantell, Kathleen E.
Opitz, Alexander - Abstract:
- Highlights: We summarize the effect of 87 tDCS studies on working memory performance. We introduce a new meta-analytic method correlating tDCS electric fields and performance. tDCS-induced electric fields in lower DLPFC correlate significantly with improved working memory. The lower DLPFC was not maximally targeted by most tDCS montages and we provide an optimized montage. Abstract: Altering cortical activity using transcranial direct current stimulation (tDCS) has been shown to improve working memory (WM) performance. Due to large inter-experimental variability in the tDCS montage configuration and strength of induced electric fields, results have been mixed. Here, we present a novel meta-analytic method relating behavioral effect sizes to electric field strength to identify brain regions underlying largest tDCS-induced WM improvement. Simulations on 69 studies targeting left prefrontal cortex showed that tDCS electric field strength in lower dorsolateral prefrontal cortex (Brodmann area 45/47) relates most strongly to improved WM performance. This region explained 7.8 % of variance, equaling a medium effect. A similar region was identified when correlating WM performance and electric field strength of right prefrontal tDCS studies (n = 18). Maximum electric field strength of five previously used tDCS configurations were outside of this location. We thus propose a new tDCS montage which maximizes the tDCS electric field strength in that brain region. Our findings canHighlights: We summarize the effect of 87 tDCS studies on working memory performance. We introduce a new meta-analytic method correlating tDCS electric fields and performance. tDCS-induced electric fields in lower DLPFC correlate significantly with improved working memory. The lower DLPFC was not maximally targeted by most tDCS montages and we provide an optimized montage. Abstract: Altering cortical activity using transcranial direct current stimulation (tDCS) has been shown to improve working memory (WM) performance. Due to large inter-experimental variability in the tDCS montage configuration and strength of induced electric fields, results have been mixed. Here, we present a novel meta-analytic method relating behavioral effect sizes to electric field strength to identify brain regions underlying largest tDCS-induced WM improvement. Simulations on 69 studies targeting left prefrontal cortex showed that tDCS electric field strength in lower dorsolateral prefrontal cortex (Brodmann area 45/47) relates most strongly to improved WM performance. This region explained 7.8 % of variance, equaling a medium effect. A similar region was identified when correlating WM performance and electric field strength of right prefrontal tDCS studies (n = 18). Maximum electric field strength of five previously used tDCS configurations were outside of this location. We thus propose a new tDCS montage which maximizes the tDCS electric field strength in that brain region. Our findings can benefit future tDCS studies that aim to affect WM function. … (more)
- Is Part Of:
- Neuroscience and biobehavioral reviews. Volume 130(2021)
- Journal:
- Neuroscience and biobehavioral reviews
- Issue:
- Volume 130(2021)
- Issue Display:
- Volume 130, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 130
- Issue:
- 2021
- Issue Sort Value:
- 2021-0130-2021-0000
- Page Start:
- 147
- Page End:
- 161
- Publication Date:
- 2021-11
- Subjects:
- Working memory -- Transcranial direct current stimulation -- Electric field modeling -- Prefrontal cortex -- Neuromodulation
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Animal behavior
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573.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01497634 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.neubiorev.2021.08.017 ↗
- Languages:
- English
- ISSNs:
- 0149-7634
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 6081.561000
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