Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial
Open accessAbstract
BACKGROUND: There is a need for effective interventions to stave off cognitive decline in older adults. Cognitive training has variably produced gains in untrained tasks and daily functioning. Combining cognitive training with transcranial direct current stimulation (tDCS) may augment cognitive training effects; however, this approach has yet to be tested on a large-scale. OBJECTIVE: This paper will present the primary findings of the Augmenting Cognitive Training in Older Adults (ACT) clinical trial. We hypothesize that receiving active stimulation with cognitive training will result in greater improvements on an untrained fluid cognition composite compared to sham following intervention. METHODS: 379 older adults were randomized, and 334 were included in intent-to-treat analyses for a 12-week multidomain cognitive training and tDCS intervention. Active or sham tDCS was administered at F3/F4 during cognitive training daily for two weeks then weekly for 10 weeks. To assess the tDCS effect, we fitted regression models for changes in NIH Toolbox Fluid Cognition Composite scores immediately following intervention and one year from baseline controlling for covariates and baseline scores. RESULTS: Across the entire sample, there were improvements in NIH Toolbox Fluid Cognition Composite scores immediately post-intervention and one year following baseline; however, there were no significant tDCS group effects at either timepoint. CONCLUSIONS: The ACT study models rigorous, safe administration of a combined tDCS and cognitive training intervention in a large sample of older adults. Despite potential evidence of near-transfer effects, we failed to demonstrate an additive benefit of active stimulation. Future analyses will continue to assess the intervention's efficacy by examining additional measures of cognition, functioning, mood, and neural markers.
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Written from the paper’s full text.
TL;DR
In the ACT randomized clinical trial, 334 older adults received 12 weeks of multidomain cognitive training with active or sham tDCS, and the primary intent-to-treat analysis found no significant additive tDCS effect on NIH Toolbox Fluid Cognition Composite change post-intervention or at one year. The whole sample improved on the Fluid Cognition Composite, with mean changes of 4.6 points post-intervention and 4.7 points at one year.
Key findings
- Across the entire sample, NIH Toolbox Fluid Cognition Composite scores improved significantly from baseline to post-intervention (mean T2−T1 change = 4.6) and from baseline to one-year (mean T3−T1 change = 4.7).
- Active versus sham tDCS did not significantly predict changes in Fluid Cognition Composite scores from baseline to post-intervention or from baseline to one-year after controlling for demographics, adherence, and baseline scores.
- Adherence was 76.9% for stimulation and 72.5% for cognitive training, with no significant differences between tDCS groups; blinding questionnaires also showed no significant group differences in predicting treatment condition.
- In the phase 2 sample only, the active group showed a 1.57-point greater improvement in Fluid Cognition Composite from baseline to one-year compared with sham (p = 0.03); this effect was larger but non-significant in complete-case sensitivity analysis (estimate = 1.72, p = 0.11).
Methods
- Adaptive two-phase randomized clinical trial at the University of Florida and University of Arizona: 379 participants were randomized, and 334 who received cognitive training were included in intent-to-treat analyses. Phase 1 randomized 87 participants to four arms; phase 2 randomized remaining participants to cognitive training with active or sham tDCS.
- Intervention: approximately 40 hours of BrainHQ computerized cognitive training over 12 weeks; active or sham tDCS was administered at F3 (cathode)/F4 (anode) at 2 mA for 20 minutes during cognitive training daily for two weeks, then weekly for 10 weeks. Sham received 2 mA only during the first 30 seconds.
- Primary outcome was the NIH Toolbox Fluid Cognition Composite at baseline, post-intervention, and one year. Intent-to-treat regression models tested tDCS group effects on change scores with covariates age, sex, clinical site, and baseline composite scores; formal inference combined phase 1 (N=42) and phase 2 (N=292) p-values via inverse-normal combination.
Limitations
- The paper states that the trial primarily consisted of Non-Hispanic or Latinx and White individuals, limiting generalizability to systemically marginalized populations; it also notes that no data were collected at the two-week timepoint, so temporal tDCS effects could not be explored, and that the same tDCS parameters across all participants may not have optimized current delivery given anatomical variability.
- The paper states that the selected NIH Toolbox Fluid Cognition Composite may not have been as sensitive to tDCS effects as single-domain tests, and that cognitive training adherence was modeled as a binary variable, not accounting for the range of training levels completed.
- The paper states that it is difficult to determine how much of the whole-sample improvement relates to cognitive training versus practice effects; the text also makes evident that the phase 2 one-year tDCS effect was not significant in complete-case sensitivity analysis and was not the primary combined-sample result.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
55 of 77 cited sources checked · 33 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Post-intervention cognitive gains have been associated with increases in resting-state functional connectivity.
“Finally, post-intervention cognitive gains have been associated with increases in resting-state functional connectivity [36–37], suggesting that this intervention may adaptively modify communication within brain networks vulnerable to aging.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [36] Antonenko, 2018, Neuronal and behavioral effects of multi-day brain stimulation and memory training, Neurobiol Aging source
- cites [37] Nissim, 2019, Effects of in-scanner bilateral frontal tDCS on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
The Analytical Approach says the connectivity analysis captured N-Back task periods, not rest periods. The Results (Post > Baseline) report no significant post-stimulation connectivity increase, and the Discussion says the study found no statistically significant behavioral improvement. The paper therefore does not report the claimed association between post-intervention cognitive gains and increased resting-state connectivity. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Applying tDCS while an individual is engaging in an active task is thought to result in induced cortical plastic changes primarily in the brain areas functionally relevant for task execution.
“Further, applying tDCS while an individual is engaging in an active task is thought to result in induced cortical plastic changes primarily in the brain areas functionally relevant for task execution [29].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] Pisoni, 2018, Cognitive enhancement induced by anodal tDCS drives circuit-specific cortical plasticity, Cerebr Cortex source
- Premisecitation
Findings for transfer effects of cognitive training on untrained cognitive domains and daily functioning are less consistent.
“While a variety of cognitive training studies have identified post-intervention gains on trained tasks and on tasks within similar domains [13–15], findings for transfer effects on untrained cognitive domains and daily functioning are less consistent, presenting a need to improve the efficacy of cognitive training interventions in producing clinically meaningful outcomes [11, 15–18].”
Quote in the paperSubstantial claim3 of 5 sources checked- cites [11] Rebok, 2014, Ten-year effects of the advanced cognitive training for independent and vital elderly cognitive training trial on cognition and everyday functioning in older adults, J Am Geriatr Soc source
- cites [15] Sala, 2019, Near and far transfer in cognitive training: a second-order meta-analysis, Collabra Psychol source
- cites [16] Jaeggi, 2008, Improving fluid intelligence with training on working memory, Proc Natl Acad Sci USA source
The Abstract says that gains on trained tasks can be dramatic while transfer to other tasks or domains remains rare, supporting the claim about inconsistent transfer to untrained domains. The paper does not address transfer to daily functioning; its Materials and Methods describe cognitive tests as the transfer measures. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [17] Melby-Lervåg, 2016, Working memory training does not improve performance on measures of intelligence or other measures of “far transfer”: evidence from a meta-analytic review, Perspect Psychol Sci source
The Discussion reports gains on similar working-memory tasks but no convincing transfer to untrained cognitive skills such as reading comprehension and arithmetic. This supports the claim about uncertain transfer to other cognitive domains, but the review concerns working-memory training specifically and does not assess daily functioning as a distinct outcome. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [18] Redick, 2013, No evidence of intelligence improvement after working memory training: a randomized, placebo-controlled study, J Exp Psychol Gen source
- Premisecitation
tDCS is a promising non-invasive technique for inducing neuroplastic changes in the brain.
“Transcranial direct current stimulation (tDCS) is a promising non-invasive technique for inducing neuroplastic changes in the brain [19–20].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Subtle functional changes are associated with an increased risk of conversion from normal aging to mild cognitive impairment and dementia.
“Subtle functional changes are associated with an increased risk of conversion from “normal aging” to mild cognitive impairment and dementia [5–7].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [5] Chen, 2017, Progression from normal cognition to mild cognitive impairment in a diverse clinic- and community-based elderly cohort, Alzheimers Dement source
- cites [6] Farias, 2013, Longitudinal trajectories of everyday function by diagnostic status, Psychol Aging source
The Discussion says subtle everyday-function changes were detectable in cognitively normal people who later developed MCI or dementia. The Results found worse baseline function among those who later developed dementia, but the difference for those who developed MCI was only a nonsignificant trend (p = .12). Thus the paper suggests, rather than firmly establishes, the claimed association for conversion to MCI. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [7] Lau, 2015, Early cognitively based functional limitations predict loss of independence in instrumental activities of daily living in older adults, J Int Neuropsychol Soc source
- Premisecitation
The design of the tDCS and cognitive training intervention in the ACT trial was based on a pilot study that demonstrated stimulation effects on working memory performance following two weeks of daily bifrontal tDCS (F3/F4, active stimulation = 2mA for 20 minutes) combined with cognitive training in older adults.
“The design of the tDCS and cognitive training intervention in the ACT trial was based on a pilot study that demonstrated stimulation effects on working memory performance following two weeks of daily bifrontal tDCS (F3/F4, active stimulation = 2mA for 20 minutes) combined with cognitive training in older adults [33].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Nissim, 2019, Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
- Premisecitation
Combining tDCS with cognitive training has demonstrated additive effects on cognitive and functional abilities in younger and older adults.
“Combining tDCS with cognitive training has demonstrated additive effects on cognitive and functional abilities in younger [30–32] and older adults [33–36].”
Quote in the paperSubstantial claim4 of 7 sources checked- cites [30] Ruf, 2017, Augmentation of working memory training by transcranial direct current stimulation (tDCS), Sci Rep source
The Abstract reports that, in 71 healthy adults, task-congruent tDCS improved working-memory training gains and performance on an untrained task compared with sham stimulation. The Methods (Subjects; page not available) give a mean age of 24.45 years, and the Discussion reports prior transfer findings in older adults. The paper does not establish improvement in functional abilities for both age groups; its own measured outcomes were working-memory tasks. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [31] Katz, 2017, Individual differences and long-term consequences of tDCS-augmented cognitive training, J Cognit Neurosci source
- cites [32] Martin, 2013, Can transcranial direct current stimulation enhance outcomes from cognitive training? A randomized controlled trial in healthy participants, Int J Neuropsychopharmacol source
The Discussion reports better accuracy during training with active tDCS than with sham tDCS, but says this effect did not produce greater learning or persist after stimulation. It also says the study could not demonstrate that active tDCS enhanced transfer effects from cognitive training. The Participants and Assessment of transfer effects sections describe healthy university students and cognitive tests, not outcomes for older adults or functional abilities. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [33] Nissim, 2019, Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
The Discussion reports that, in healthy older adults, active tDCS paired with cognitive training improved working-memory accuracy beyond sham tDCS paired with training. The study also found increased functional brain connectivity, but it did not demonstrate improvements in functional abilities such as everyday functioning. Its Limitations section says the results cannot be extended to young adults; the citing sentence attaches other references to that age group. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [34] Park, 2014, Long-term effects of transcranial direct current stimulation combined with computer-assisted cognitive training in healthy older adults, Neuroreport source
- cites [35] Stephens, 2016, Older adults improve on everyday tasks after working memory training and neurostimulation, Brain Stimul source
- cites [36] Antonenko, 2018, Neuronal and behavioral effects of multi-day brain stimulation and memory training, Neurobiol Aging source
- Premisecitation
In a separate study, those who received active tDCS demonstrated greater gains on far transfer and functional tasks (e.g., scheduling an appointment).
“In a separate study, those who received active tDCS demonstrated greater gains on far transfer and functional tasks (e.g., scheduling an appointment) [35].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] Stephens, 2016, Older adults improve on everyday tasks after working memory training and neurostimulation, Brain Stimul source
- Premisecitation
The commercially-available computerized cognitive training program used in ACT has produced performance gains in older adults.
“In the ACT study, the cognitive training intervention involved completing 40 hours of computerized tasks from a commercially-available program that have produced performance gains in older adults [33,65,66].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [33] Nissim, 2019, Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
- cites [65] Smith, 2009, A cognitive training program based on principles of brain plasticity: results from the improvement in memory with plasticity-based adaptive cognitive training (IMPACT) study, J Am Geriatr Soc source
- cites [66] Zelinski, 2011, Improvement in memory with plasticity-based adaptive cognitive training: results of the 3-month follow-up, J Am Geriatr Soc source
- Premisecitation
In 123 older adults, Nilsson and colleagues (2017) found no additional benefit of stimulation on working memory training gains.
“In contrast, in 123 older adults, Nilsson and colleagues (2017) found no additional benefit of stimulation on working memory training gains [48].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [48] Nilsson, 2017, Direct-current stimulation does little to improve the outcome of working-memory training in older adults, Psychol Sci source
- Premisecitation
Greater atrophy has been associated with less electrical current reaching the brain in older adults due to shunting.
“As such, greater atrophy has been associated with less electrical current reaching the brain in older adults due to shunting [59].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [59] Indahlastari, 2020, Modeling transcranial electrical stimulation in the aging brain, Brain Stimul source
- Premisecitation
Inter-individual anatomical differences can affect response to tDCS due to differing amounts of current reaching cortical tissue.
“Furthermore, increasing evidence to suggests that inter-individual anatomical differences can affect response to tDCS due to differing amounts of current reaching cortical tissue.”
Quote in the paperSubstantial claim4 of 5 sources checked- cites [58] Latikka, 2019, The electrical conductivity of human cerebrospinal fluid in vivo, IFMBE Proc source
- cites [59] Indahlastari, 2020, Modeling transcranial electrical stimulation in the aging brain, Brain Stimul source
- cites [60] Ciechanski, 2018, Modeling transcranial direct-current stimulation-induced electric fields in children and adults, Front Hum Neurosci source
- cites [61] Indahlastari, 2021, White matter hyperintensities affect transcranial electrical stimulation in the aging brain, Brain Stimul source
The Discussion reports that white matter hyperintensities altered modeled current delivery to brain tissue, including a cortical target region, in older adults (page not provided). This supports the claim that anatomical differences can change how much current reaches cortical tissue. The paper does not establish that those differences change individuals’ responses to tDCS; it says the dose–response relationship requires further investigation. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [62] Truong, 2013, Computational modeling of transcranial direct current stimulation (tDCS) in obesity: impact of head fat and dose guidelines, Neuroimage source
- Premisecitation
Individuals with lower baseline cognitive ability demonstrate greater performance gains following cognitive training compared to those with higher baseline cognitive ability.
“For instance, individuals with lower baseline cognitive ability demonstrate greater performance gains following cognitive training compared to those with higher baseline cognitive ability, potentially due to a sufficient “mismatch” between the task demand and functional supply of the brain [68–72].”
Quote in the paperSubstantial claim3 of 5 sources checked- cites [68] Zinke, 2014, Working memory training and transfer in older adults: effects of age, baseline performance, and training gains, Dev Psychol source
- cites [69] Traut, 2021, Why does cognitive training yield inconsistent benefits? A meta-analysis of individual differences in baseline cognitive abilities and training outcomes, Front Psychol source
The Results (§3.2.2; page not available in our copy) report a significant negative correlation: lower baseline performers tended to gain more from training. But the authors call the result inconclusive and report substantial heterogeneity, so the unqualified claim is stronger than their finding. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [70] Shaw, 2021, The effect of baseline performance and age on cognitive training improvements in older adults: a qualitative review, J Prev Alzheimer’s Dis source
The Discussion (Task Difficulty Helps Explain Differential Training Gains; page unavailable) reports that lower-baseline participants may gain more from working-memory training when task demands provide an appropriate mismatch. But the Abstract and Discussion also report the opposite pattern for some episodic-memory training, so the source does not support the claim as a general rule across cognitive training. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [71] Roheger, 2020, Lower cognitive baseline scores predict cognitive training success after 6 months in healthy older adults: results of an online RCT, Int J Geriatr Psychiatr source
The Discussion reports that lower baseline cognitive performance predicted greater gains in spatial working memory and verbal learning among healthy older adults receiving general cognitive training. It specifies that this relationship was significant only after six months, not earlier. The claim omits those limits and presents the finding as applying to cognitive training generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [72] Lövdén, 2010, A theoretical framework for the study of adult cognitive plasticity, Psychol Bull source
- Premisecitation
Current direction and intensity predict behavioral outcomes in older adults with 86% accuracy.
“Optimizing current dose is important because current direction and intensity predict behavioral outcomes in older adults with 86% accuracy [63].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [63] Albizu, 2020, Machine learning and individual variability in electric field characteristics predict tDCS treatment response, Brain Stimul source
- Premisecitation
Variations in skull thickness, white matter hyperintensities, and adipose tissue can also affect current density.
“In addition, variations in skull thickness, white matter hyperintensities, and adipose tissue can also affect current density [60–62].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [60] Ciechanski, 2018, Modeling transcranial direct-current stimulation-induced electric fields in children and adults, Front Hum Neurosci source
The Discussion (page unavailable) links thinner skulls to reduced current blockage and stronger tDCS-induced electric fields, supporting the skull-thickness part of the claim. The paper does not address whether white matter hyperintensities or adipose tissue affect current density. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [61] Indahlastari, 2021, White matter hyperintensities affect transcranial electrical stimulation in the aging brain, Brain Stimul source
- cites [62] Truong, 2013, Computational modeling of transcranial direct current stimulation (tDCS) in obesity: impact of head fat and dose guidelines, Neuroimage source
- Premisecitation
Phase 1 revealed that cognitive training resulted in greater improvements in performance on trained tasks compared to the educational training control group irrespective of tDCS group assignment.
“Phase 1 revealed that cognitive training resulted in greater improvements in performance on trained tasks compared to the educational training control group irrespective of tDCS group assignment [38–39].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [38] Boutzoukas, 2022, Higher white matter hyperintensity load adversely affects pre-post proximal cognitive training performance in healthy older adults, GeroScience source
- cites [39] Hardcastle, 2022, Proximal improvement and higher-order resting state network change after multidomain cognitive training intervention in healthy older adults, GeroScience source
- Findingown data
Across the entire sample, there were significant improvements in NIH Toolbox Fluid Cognition Composite scores from baseline to post-intervention (mean change = 4.6).
“Across the entire sample, there were significant improvements in FCC from baseline to post-intervention (Mean T2-T1 Change = 4.6)”
- Also stated in: § Results: · plain
“Across the entire sample, there were improvements in NIH Toolbox Fluid Cognition Composite scores immediately post-intervention”
Quote in the paperSubstantial claim - Also stated in: § Results: · plain
- Findingown data
tDCS group did not significantly predict changes in NIH Toolbox Fluid Cognition Composite scores from baseline to post-intervention or from baseline to one-year.
“Controlling for demographics, adherence, and baseline scores, tDCS group did not significantly predict changes in FCC from baseline to post-intervention or from baseline to one-year (Figure 3, Table 5).”
- Also stated in: § Results: · plain
“there were no significant tDCS group effects at either timepoint.”
Quote in the paperSubstantial claim - Also stated in: § Results: · plain
- Findingown data
The sham group reported more body-related adverse events than the active group (p = 0.04).
“Throughout the trial, the sham group reported more body-related adverse events (p = 0.04), while the active group reported more cardiac-related adverse events (p = 0.045; Table 7).”
Quote in the paperNot a substantial claim - Findingown data
Higher baseline NIH Toolbox Fluid Cognition Composite scores were associated with smaller improvements from baseline to one-year.
“From baseline to one-year, female participants demonstrated greater improvements in FCC compared to males, and higher baseline scores were associated with smaller improvements (p-values < 0.01; Table 5).”
Quote in the paperNot a substantial claim - Findingown data
From baseline to one-year, female participants demonstrated greater improvements in NIH Toolbox Fluid Cognition Composite scores compared to males.
“From baseline to one-year, female participants demonstrated greater improvements in FCC compared to males, and higher baseline scores were associated with smaller improvements (p-values < 0.01; Table 5).”
Quote in the paperNot a substantial claim - Findingown data
The active tDCS group had lower ratings of pain prior to stimulation compared to sham (p = 0.04).
“Across all stimulation sessions, the active tDCS group had lower ratings of pain prior to stimulation (p = 0.04) and greater ratings of tingling and burning during stimulation (p = 0.01, p < 0.01) compared to sham (Table 6).”
Quote in the paperNot a substantial claim - Findingown data
There were no significant group differences in serious adverse events.
“There were no significant group differences in serious adverse events.”
Quote in the paperSubstantial claim - Findingown data
Higher baseline NIH Toolbox Fluid Cognition Composite scores were associated with smaller improvements from baseline to post-intervention.
“Older age and higher baseline scores were associated with smaller baseline to post-intervention improvements in FCC (p-values < 0.01; Table 5).”
Quote in the paperNot a substantial claim - Findingown data
In the phase 2 sample only, the active tDCS group demonstrated a 1.57-point greater improvement in NIH Toolbox Fluid Cognition Composite scores from baseline to one-year compared to sham (p = 0.03).
“Notably, solely in the phase 2 sample, there is a significant effect of tDCS group, such that the active group demonstrated a 1.57-point greater improvement in FCC from baseline to one-year compared to sham (p = 0.03; Table A.3).”
Quote in the paperNot a substantial claim - Findingown data
The active tDCS group had greater ratings of tingling during stimulation compared to sham (p = 0.01).
“Across all stimulation sessions, the active tDCS group had lower ratings of pain prior to stimulation (p = 0.04) and greater ratings of tingling and burning during stimulation (p = 0.01, p < 0.01) compared to sham (Table 6).”
Quote in the paperNot a substantial claim - Findingown data
There was a greater number of individuals reporting high blood pressure in the active group compared to sham.
“In particular, there was a greater number of individuals reporting high blood pressure in the active group (Table A.5), which has not been shown to be related to effects of stimulation.”
Quote in the paperNot a substantial claim - Findingown data
Across the entire sample, there were significant improvements in NIH Toolbox Fluid Cognition Composite scores from baseline to one-year (mean change = 4.7).
“and from baseline to one-year (Mean T3-T1 change = 4.7; Table 2)”
- Also stated in: § Results: · plain
“and one year following baseline”
Quote in the paperSubstantial claim - Also stated in: § Results: · plain
- Findingown data
Older age was associated with smaller improvements in NIH Toolbox Fluid Cognition Composite scores from baseline to post-intervention.
“Older age and higher baseline scores were associated with smaller baseline to post-intervention improvements in FCC (p-values < 0.01; Table 5).”
Quote in the paperNot a substantial claim - Findingown data
The active group reported more cardiac-related adverse events than the sham group (p = 0.045).
“Throughout the trial, the sham group reported more body-related adverse events (p = 0.04), while the active group reported more cardiac-related adverse events (p = 0.045; Table 7).”
Quote in the paperNot a substantial claim - Findingown data
The active tDCS group had greater ratings of burning during stimulation compared to sham (p < 0.01).
“Across all stimulation sessions, the active tDCS group had lower ratings of pain prior to stimulation (p = 0.04) and greater ratings of tingling and burning during stimulation (p = 0.01, p < 0.01) compared to sham (Table 6).”
Quote in the paperNot a substantial claim - Findingown data
There was potential evidence of tDCS response variability at the group level with differences in stimulation effects between ACT phase 1 (n = 42) and phase 2 samples (n = 292).
“There was potential evidence of this tDCS response variability at the group level with differences in stimulation effects between ACT phase 1 (n = 42) and phase 2 samples (n = 292).”
Quote in the paperSubstantial claim - Findingown data
There were no tDCS effects detected in the phase 1 sample.
“There were no tDCS effects detected in the phase 1 sample.”
Quote in the paperSubstantial claim - Findingnone given
The ACT trial primarily consisted of Non-Hispanic or Latinx and White individuals.
“Finally, the ACT trial primarily consisted of Non-Hispanic or Latinx and White individuals, which limits the generalizability of findings to systemically marginalized populations.”
Quote in the paperSubstantial claim - Findingown data
The direction of the tDCS effects was opposite between phases at both timepoints (active group demonstrating performance reductions in phase 1 versus gains in phase 2).
“However, it is notable that the direction of the tDCS effects was opposite between phases at both timepoints (i.e., active group demonstrating performance reductions in the phase 1 sample versus gains in the phase 2 sample), likely influencing the ability to detect an overall effect in the combined sample.”
Quote in the paperSubstantial claim - Findingown data
In the phase 2 sample, those who received active stimulation with cognitive training demonstrated greater gains on the Fluid Cognition Composite compared to sham one year following baseline.
“In the phase 2 sample, those who received active stimulation with cognitive training demonstrated greater gains on the Fluid Cognition Composite compared to sham one year following baseline.”
Quote in the paperSubstantial claim - Findingown data
Cognitive training adherence was not a significant predictor in models.
“Cognitive training adherence was not a significant predictor in models.”
Quote in the paperSubstantial claim - Findingown data
In the present study, individuals with higher baseline Fluid Cognition Composite scores experienced smaller improvements.
“Similarly, in the present study, individuals with higher baseline Fluid Cognition Composite scores experienced smaller improvements, suggesting they may not have further profited from the intervention in the short-term (i.e., post-intervention and one-year).”
Quote in the paperNot a substantial claim - Findingown data
The study failed to demonstrate an additive benefit of receiving active stimulation during cognitive training.
“In the present paper, there were improvements on the NIH Toolbox Fluid Cognition Composite immediately following the intervention that were maintained one year after baseline; however, we failed to demonstrate an additive benefit of receiving active stimulation during cognitive training.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is difficult to determine how much the observed gains relate to cognitive training versus practice effects.
“However, it is difficult to determine how much these gains relate to cognitive training versus practice effects.”
Quote in the paperSubstantial claim - Study design and conductown data
There were no significant differences in adherence between tDCS groups.
“There were no significant differences in adherence between tDCS groups (Table 1).”
Quote in the paperNot a substantial claim - Study design and conductown data
72.5% of the 334 older adults were considered adherent to cognitive training.
“Overall, 76.9% of the 334 older adults (including those withdrawn) were considered adherent to stimulation, and 72.5% were considered adherent to cognitive training.”
Quote in the paperNot a substantial claim - Study design and conductown data
76.9% of the 334 older adults were considered adherent to stimulation.
“Overall, 76.9% of the 334 older adults (including those withdrawn) were considered adherent to stimulation, and 72.5% were considered adherent to cognitive training.”
Quote in the paperNot a substantial claim - Interpretationown data
The present findings revealed improvements in the entire sample on a composite score of untrained fluid cognitive tasks that involve trained domains.
“The present findings, combining those who received cognitive training across phases, revealed improvements in the entire sample on a composite score of untrained fluid cognitive tasks (i.e., NIH Toolbox Fluid Cognition Composite) that involve trained domains (e.g., attention, processing speed, working memory).”
Quote in the paperSubstantial claim - Interpretationreasoning
In the present study, applying the same tDCS parameters across the entire sample may not have resulted in optimal current delivery to frontal brain regions for each individual.
“Thus, in the present study, applying the same tDCS parameters across the entire sample may not have resulted in optimal current delivery to frontal brain regions for each individual.”
Quote in the paperNot a substantial claim - Interpretationcitation
The sex differences in current density may partly explain the discrepancies in tDCS effects between phases given the male-dominated active stimulation group in phase 1.
“Mediated by sex differences in brain structure, female older adults receive higher current density in targeted regions than their male counterparts [64], which may partly explain these discrepancies given the male-dominated active stimulation group in phase 1.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Without concurrent measures of cortical excitability collected during stimulation, the study does not know if it achieved the intended net excitation of the frontal cortex with the present stimulation parameters in the older adult sample.
“Without concurrent measures of cortical excitability collected during stimulation, we do not know if we achieved the intended net excitation of the frontal cortex with the present stimulation parameters in our older adult sample.”
Quote in the paperSubstantial claim - Interpretationown data
The ACT trial's sample composition limits the generalizability of findings to systemically marginalized populations.
“Finally, the ACT trial primarily consisted of Non-Hispanic or Latinx and White individuals, which limits the generalizability of findings to systemically marginalized populations.”
Quote in the paperSubstantial claim - Interpretationreasoning
The discrepancies in tDCS effects between phase 1 and phase 2 may be related to sample size differences, with phase 2 having greater power to detect effects.
“These findings may be related to the discrepancies in sample sizes, with phase 2 having greater power to detect effects.”
Quote in the paperNot a substantial claim - Interpretationown data
Individuals with higher baseline Fluid Cognition Composite scores may not have further profited from the intervention in the short-term (post-intervention and one-year).
“Similarly, in the present study, individuals with higher baseline Fluid Cognition Composite scores experienced smaller improvements, suggesting they may not have further profited from the intervention in the short-term (i.e., post-intervention and one-year).”
Quote in the paperSubstantial claim - Interpretationown data
The opposite direction of tDCS effects between phases likely influenced the ability to detect an overall effect in the combined sample.
“However, it is notable that the direction of the tDCS effects was opposite between phases at both timepoints (i.e., active group demonstrating performance reductions in the phase 1 sample versus gains in the phase 2 sample), likely influencing the ability to detect an overall effect in the combined sample.”
Quote in the paperSubstantial claim - Premisecitation
Age-related brain atrophy results in a concomitant increase in cerebrospinal fluid, which has high conductivity compared to cortical tissue.
“For instance, age-related brain atrophy results in a concomitant increase in cerebrospinal fluid, which has high conductivity compared to cortical tissue [58].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [58] Latikka, 2019, The electrical conductivity of human cerebrospinal fluid in vivo, IFMBE Proc source
- Interpretationreasoning
Depending on their unique anatomical factors, individuals may require higher current doses to effectively target brain regions and produce a behavioral response.
“Therefore, depending on their unique anatomical factors, individuals may require higher current doses to effectively target brain regions and produce a behavioral response.”
Quote in the paperSubstantial claim - Premisecitation
Older adults who received active tDCS to the bilateral prefrontal cortex combined with cognitive training performed better on verbal working memory and attention tasks compared to those who received sham tDCS.
“For example, older adults who received active tDCS to the bilateral prefrontal cortex combined with cognitive training performed better on verbal working memory and attention tasks compared to those who received sham tDCS [34].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Park, 2014, Long-term effects of transcranial direct current stimulation combined with computer-assisted cognitive training in healthy older adults, Neuroreport source
- Interpretationown data
The significant tDCS effect present at the one-year timepoint in the phase 2 sample may be initial evidence supporting the maintenance hypothesis.
“The significant tDCS effect present at the one-year timepoint in the phase 2 sample may be initial evidence supporting this maintenance hypothesis; however, future analyses should investigate trajectories of decline between intervention groups using longer follow-up timepoints.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Since cognitive training adherence was a binary variable, it did not account for the actual range of cognitive training levels participants completed.
“However, since this was a binary variable, it did not account for the actual range of cognitive training levels participants completed.”
Quote in the paperSubstantial claim - Interpretationnone given
The ACT trial has provided a model for the safe administration of tDCS on a large scale.
“Nevertheless, the ACT trial has provided a model for the safe administration of tDCS on a large scale, which can inform future tDCS trials using an individualized dosing approach to better facilitate a treatment response.”
Quote in the paperSubstantial claim - Interpretationcitation
Cognitive training task difficulty may also impact the efficacy of tDCS.
“Cognitive training task difficulty may also impact the efficacy of tDCS, as behavioral improvements occur specifically when stimulation is paired with higher demanding tasks [67].”
Quote in the paperNot a substantial claim - Study design and conductreasoning
To avoid ceiling effects on cognitive training tasks, the study intentionally excluded participants who performed above the 80th percentile on the cognitive training composite at baseline.
“To avoid ceiling effects on cognitive training tasks, we intentionally excluded participants who performed above the 80th percentile on the cognitive training composite at baseline.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 22
- May combine two claims. 16
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe ACTIVE study found that cognitive training groups demonstrated improvements on trained tasks which remained over time and evidence of transfer to functional tasks.
“The Advanced Cognitive Training in Vital Elderly (ACTIVE) study examined the longitudinal effects of cognitive training in 2,832 older adults [10]. Cognitive training groups demonstrated improvements on trained tasks which remained over time and evidence of transfer to functional tasks [10–12].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [10] Ball, 2002, Effects of cognitive training interventions with older adults: a randomized controlled trial, J Am Med Assoc source
The Results and Comment sections support lasting improvements in the trained cognitive abilities. But the Abstract states that no training effects on everyday functioning were detected at two years, and the Comment explicitly describes an absence of transfer to real-world outcomes. The claim’s assertion of evidence of transfer to functional tasks is therefore contrary to this paper’s finding; page numbers were not supplied in our copy. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [11] Rebok, 2014, Ten-year effects of the advanced cognitive training for independent and vital elderly cognitive training trial on cognition and everyday functioning in older adults, J Am Geriatr Soc source
- cites [12] Ball, 2010, Cognitive training decreases motor vehicle collision involvement among older drivers, J Am Geriatr Soc source
May combine two claims.
PremisecitationChanges in cortical excitability and improvements in behavior induced by tDCS have been reported to persist long after the stimulation period.
“Importantly, changes in cortical excitability and improvements in behavior induced by tDCS have been reported to persist long after the stimulation period [25–28].”
Quote in the paperSubstantial claim3 of 4 sources checked- cites [25] Nitsche, 2001, Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans, Neurology source
- cites [26] Stagg, 2013, Widespread modulation of cerebral perfusion induced during and after transcranial direct current stimulation applied to the left dorsolateral prefrontal cortex, J Neurosci source
The Introduction reports behavioral aftereffects lasting at least three months, supporting the claim that behavioral effects can persist well beyond stimulation. The Discussion and “Brain perfusion changes after stimulation” section report cortical-excitability changes in the immediate poststimulation period, but do not establish that those changes persist long after stimulation. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [27] Fritsch, 2010, Direct current stimulation promotes BDNF-dependent synaptic plasticity: potential implications for motor learning, Neuron source
- cites [28] Rroji, 2015, Anodal tDCS over the primary motor cortex facilitates long-term memory formation reflecting use-dependent plasticity, PLoS One source
May combine two claims.
PremisecitationPrior studies found a small 2.7-point gain on the Fluid Cognition Composite standard scores with 3-5 weeks between administrations, but no practice effects with 15 months between administrations.
“Findings revealed a small 2.7-point gain with 3–5 weeks between administrations [44], yet no practice effects with 15 months between administrations [45].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [44] Parsey, 2021, Utility of the iPad NIH Toolbox cognition battery in a clinical trial of older adults, J Am Geriatr Soc source
The Results > Test-Retest Characteristics section reports a significant increase in Fluid Composite scores between visits averaging 28.4 days apart, consistent with a gain after roughly four weeks. Our copy does not give the claimed 2.7-point gain. The 15-month finding is attached to a different citation in the citing sentence and is not judged here; page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [45] Scott, 2019, Psychometric properties of the NIH Toolbox cognition battery in healthy older adults: reliability, validity, and agreement with standard neuropsychological tests, J Int Neuropsychol Soc source
May combine two claims.
PremisecitationFluid cognitive abilities (e.g., processing speed, attention, executive functioning) decline in late life and can negatively impact older adults' ability to manage day-to-day tasks.
“While crystallized cognition (e.g., acquired knowledge, vocabulary) is relatively preserved in late life, older adults’ ability to successfully manage day-to-day tasks can be negatively impacted by prototypical declines in fluid cognitive abilities (e.g., processing speed, attention, executive functioning) [2–4].”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [2] Salthouse, 2000, Aging and measures of processing speed, Biol Psychol source
- cites [3] Salthouse, 2010, Selective review of cognitive aging, J Int Neuropsychol Soc source
In “What Cognitive Variables and Abilities Are Affected?” (page unavailable), the review describes relatively preserved vocabulary and general information alongside age-related declines in processing efficiency and neuropsychological test performance. It does not establish that these declines impair older adults’ management of day-to-day tasks, and it cautions that speed is distinct from fluid ability in psychometric classifications. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [4] Murman, 2015, The impact of age on cognition, Semin Hear source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe principal mechanism of tDCS involves a subtle alteration of a neuron's resting membrane potential affecting the neuron's probability of firing.
“The principal mechanism of action involves a subtle alteration of a neuron’s resting membrane potential affecting the neuron’s probability of firing [22].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [22] Nitsche, 2000, Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation, J Physiol source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn younger adults, applying 2mA of current for 20 minutes to the motor cortex increases cortical excitability underneath both the anode and cathode.
“In younger adults, applying 2mA of current for 20 minutes to the motor cortex increases cortical excitability underneath both the anode and cathode [55, 56].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [55] Batsikadze, 2013, Partially non-linear stimulation intensity-dependent effects of direct current stimulation on motor cortex excitability in humans, J Physiol source
- cites [56] Mosayebi Samani, 2019, Titrating the neuroplastic effects of cathodal transcranial direct current stimulation (tDCS) over the primary motor cortex, Cortex source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTeixeira-Santos and colleagues (2022) demonstrated that intervention-related improvements on near-transfer tasks predicted improvements on an untrained reasoning task, suggesting that far-transfer effects are directly related to the enhancement of the trained construct.
“Similarly, Teixeira-Santos and colleagues (2022) demonstrated that intervention-related improvements on near-transfer tasks predicted improvements on an untrained reasoning task, suggesting that far-transfer effects are directly related to the enhancement of the trained construct [46].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [46] Teixeira-Santos, 2022, Working memory training coupled with transcranial direct current stimulation in older adults: a randomized controlled experiment, Front Aging Neurosci source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBooster stimulation sessions offer promising therapeutic effects in individuals with fibromyalgia and drug cravings.
“Booster stimulation sessions offer promising therapeutic effects in individuals with fibromyalgia and drug cravings [52,53].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [52] Kang, 2020, Effects of add-on transcranial direct current stimulation on pain in Korean patients with fibromyalgia, Sci Rep source
- cites [53] Shariatirad, 2016, Cumulative and booster effects of tdcs sessions on drug cravings, lapse, and cognitive impairment in methamphetamine use disorder: a case study report, Am J Addict source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdults ages 50-65 experience increased excitability underneath the cathode at 2mA/20min motor cortex parameters.
“Adults ages 50–65 also experience increased excitability underneath the cathode at these parameters, while older adults ages 66–80 demonstrate slight reductions in excitability [57].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [57] Ghasemian-Shirvan, 2022, Age-dependent non-linear neuroplastic effects of cathodal tDCS in the elderly population: a titration study, Brain Stimul source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApplying 2mA to the frontal cortex during an in-scanner working memory task using the F3/F4 montage results in increased functional connectivity between left frontal regions under the cathode during active stimulation in older adults.
“In contrast, applying 2mA to the frontal cortex during an in-scanner working memory task using the F3/F4 montage results in increased functional connectivity between left frontal regions under the cathode during active stimulation in older adults [37].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [37] Nissim, 2019, Effects of in-scanner bilateral frontal tDCS on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a sample of 90 healthy older adults, individuals who received 2mA of stimulation combined with working memory training improved on working memory, processing speed, cognitive flexibility, arithmetic, and functional tasks after one month without contact.
“For instance, in a sample of 90 healthy older adults, individuals who received 2mA of stimulation combined with working memory training improved on working memory, processing speed, cognitive flexibility, arithmetic, and functional tasks after one month without contact [35].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] Stephens, 2016, Older adults improve on everyday tasks after working memory training and neurostimulation, Brain Stimul source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationPrior evidence shows enhanced cognitive performance in domains of working memory and episodic memory and evidence of transfer effects following active stimulation with cognitive training in older adults.
“This is surprising given prior evidence of enhanced cognitive performance in domains of working memory and episodic memory and evidence of transfer effects following active stimulation with cognitive training in older adults [33–36, 46, 47].”
Quote in the paperSubstantial claim4 of 6 sources checked- cites [33] Nissim, 2019, Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults, Front Aging Neurosci source
The Discussion reports improved working-memory performance with active stimulation plus cognitive training in older adults, and the Conclusion reports gains on an untrained working-memory task, supporting evidence of transfer. The cited paper does not report an episodic-memory improvement. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [34] Park, 2014, Long-term effects of transcranial direct current stimulation combined with computer-assisted cognitive training in healthy older adults, Neuroreport source
- cites [35] Stephens, 2016, Older adults improve on everyday tasks after working memory training and neurostimulation, Brain Stimul source
The Discussion (page unavailable) reports that older adults improved on trained working-memory tasks and that the active 2 mA stimulation group performed better on far-transfer tasks. The Study Design describes working-memory and transfer measures, but our copy does not report an episodic-memory benefit. It also says trained-task improvement occurred regardless of stimulation group. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [36] Antonenko, 2018, Neuronal and behavioral effects of multi-day brain stimulation and memory training, Neurobiol Aging source
- cites [46] Teixeira-Santos, 2022, Working memory training coupled with transcranial direct current stimulation in older adults: a randomized controlled experiment, Front Aging Neurosci source
The Results and Conclusion (no page numbers in our copy) report improved working-memory task performance and transfer to short-term memory and reasoning in older adults receiving active stimulation with training. They do not report an episodic-memory outcome; working-memory task performance also improved in the sham-stimulation training group. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [47] Indahlastari, 2021, A systematic review and meta-analysis of transcranial direct current stimulation to remediate age-related cognitive decline in healthy older adults, Neuropsychiatric Dis Treat source
The Discussion (page unavailable) reports improved working-memory performance in three of four studies pairing tDCS with extended cognitive training. The Results table (page unavailable) also reports a significant effect on a far-transfer task in a study paired with cognitive training. The review reports an episodic-memory benefit from active versus sham stimulation, but does not establish that this benefit followed stimulation paired with cognitive training. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
Premisecitation1-1.5cm electrode shifts can significantly alter current distribution in the brain.
“For instance, 1–1.5cm electrode shifts can significantly alter current distribution in the brain [54].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [54] Woods, 2015, Effects of electrode drift in transcranial direct current stimulation, Brain Stimul source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOlder adults ages 66-80 demonstrate slight reductions in excitability at 2mA/20min motor cortex parameters.
“Adults ages 50–65 also experience increased excitability underneath the cathode at these parameters, while older adults ages 66–80 demonstrate slight reductions in excitability [57].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [57] Ghasemian-Shirvan, 2022, Age-dependent non-linear neuroplastic effects of cathodal tDCS in the elderly population: a titration study, Brain Stimul source
May combine two claims.
PremisecitationFemale older adults receive higher current density in targeted regions than their male counterparts, mediated by sex differences in brain structure.
“Mediated by sex differences in brain structure, female older adults receive higher current density in targeted regions than their male counterparts [64], which may partly explain these discrepancies given the male-dominated active stimulation group in phase 1.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [64] Bhattacharjee, 2022, Sex difference in tDCS current mediated by changes in cortical anatomy: a study across young, middle and older adults, Brain Stimul source
May combine two claims.
Findingown dataIn sensitivity analyses, the phase 2 one-year tDCS effect was larger but non-significant in the smaller sample of completed cases (estimate = 1.72, p = 0.11).
“Sensitivity analyses revealed largely no differences between ITT and complete case analyses except that this phase 2 one-year tDCS effect is larger but non-significant in the smaller sample of completed cases (estimate = 1.72, p = 0.11; Table A.4).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAverage ratings for each stimulation sensation were largely between 0 and 1 on a 10-point scale.
“Notably, average ratings for each sensation were largely between 0 and 1 on a 10-point scale.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the present paper, there were improvements on the NIH Toolbox Fluid Cognition Composite immediately following the intervention that were maintained one year after baseline.
“In the present paper, there were improvements on the NIH Toolbox Fluid Cognition Composite immediately following the intervention that were maintained one year after baseline; however, we failed to demonstrate an additive benefit of receiving active stimulation during cognitive training.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenParticipants, interventionists, and outcome assessors were blinded to the tDCS condition assigned.
“Participants, interventionists, and outcome assessors were blinded to the tDCS condition assigned.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataIntent-To-Treat (ITT) analyses were performed to assess the effect of tDCS on changes in FCC from baseline to post-intervention and from baseline to one-year.
“Intent-To-Treat (ITT) analyses were performed to assess the effect of tDCS on changes in FCC from baseline to post-intervention and from baseline to one-year, with missing outcomes predicted by regression models that include demographic and baseline characteristics.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThere were no significant differences in predicting treatment condition or confidence in predictions between active and sham groups for both participant and experimenter blinding questionnaires.
“There were no significant differences in predicting treatment condition or confidence in predictions between active and sham groups for both the participant and experimenter blinding questionnaires (Tables 3, 4).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe clinical trial statistician performed randomization procedures using a permuted block randomization with block sizes of 8 and 12 and study site as a stratification factor.
“The clinical trial statistician performed randomization procedures using a permuted block randomization with block sizes of 8 and 12 and study site as a stratification factor.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe ACT study provides a foundational framework for the rigorous application of tDCS on a large scale.
“As the largest randomized clinical trial in tDCS to date, the ACT study provides a foundational framework for the rigorous application of tDCS on a large scale and sheds light on the effects of tDCS combined with cognitive training in older adults.”
Quote in the paperSubstantial claim- Rests on an assumption: The ACT study is the largest randomized clinical trial in tDCS to date.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationThere is an increasing need for interventions to avert age-related cognitive decline in older adults.
“With a growing older adult population, there is an increasing need for interventions to avert age-related cognitive decline [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] Ortman, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataThere were no significant baseline differences between tDCS groups in demographics, medical history, NACC UDS domain scores, Brain HQ Cognitive Training assessment composite, depression, or FCC scores.
“There were no significant baseline differences between tDCS groups in demographics, reports of medical history, NACC UDS domain scores, the Brain HQ Cognitive Training assessment composite, depression, or FCC scores (Tables 1 and 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe present null findings are likely due to a true small tDCS effect as opposed to insufficient power to detect an effect.
“As such, the present null findings are likely due to a true small tDCS effect as opposed to insufficient power to detect an effect.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningInter-individual differences in cognitive training engagement may have impacted response to stimulation.
“While we demonstrated overall improvements on the primary outcome using this training paradigm, inter-individual differences in cognitive training engagement may have impacted response to stimulation.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataIn phase 1, there were significantly more males in the active tDCS group and females in the sham tDCS group, while sex distribution was balanced across conditions in phase 2.
“In phase 1, there were significantly more males in the active tDCS group and females in the sham tDCS group, while sex distribution was balanced across conditions in phase 2.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenIn non-pathological older adults, active stimulation combined with cognitive training may allow for better maintenance of cognitive functioning over time.
“However, it may be the case that in non-pathological older adults, active stimulation combined with cognitive training allows for better maintenance of cognitive functioning over time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningIf active stimulation allows better maintenance, more significant discrepancies in cognitive performance may emerge between active and sham stimulation groups several years after intervention.
“If so, more significant discrepancies in cognitive performance may emerge between active and sham stimulation groups several years after intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThose who completed more total minutes or achieved higher difficulty levels may have experienced greater benefits from stimulation.
“For instance, those who completed more total minutes or achieved higher difficulty levels may have experienced greater benefits from stimulation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBehavioral improvements occur specifically when stimulation is paired with higher demanding tasks.
“Cognitive training task difficulty may also impact the efficacy of tDCS, as behavioral improvements occur specifically when stimulation is paired with higher demanding tasks [67].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] Gill, 2015, It's the thought that counts: examining the task-dependent effects of transcranial direct current stimulation on executive function, Brain Stimul source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe present cognitive training and tDCS intervention may produce larger effects in individuals with greater cognitive impairment compared to the non-pathological, highly educated sample.
“However, it may be the case that the present cognitive training and tDCS intervention produces larger effects in individuals with greater cognitive impairment compared to our non-pathological, highly educated sample.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
A large-scale randomized clinical trial of combined tDCS and cognitive training in older adults is needed.
“These small studies provide evidence that tDCS may potentiate the effects of cognitive training; however, large-scale randomized clinical trials are needed to further evaluate the intervention’s efficacy.”
The paper relies on this without support.
Studies have yet to examine the efficacy of booster stimulation sessions on maintaining cognitive training gains.
“However, studies have yet to examine the efficacy of booster stimulation sessions on maintaining cognitive training gains.”
The paper relies on this without support.
Participants tend to habituate to the sensation of tDCS within 30–60 seconds.
“Participants tend to habituate to the sensation of tDCS within 30–60 seconds.”
The paper relies on this without support.
High blood pressure in the active group has not been shown to be related to effects of stimulation.
“In particular, there was a greater number of individuals reporting high blood pressure in the active group (Table A.5), which has not been shown to be related to effects of stimulation.”
The paper relies on this without support.
The ACT study is the largest randomized clinical trial in tDCS to date.
“As the largest randomized clinical trial in tDCS to date, the ACT study provides a foundational framework for the rigorous application of tDCS on a large scale and sheds light on the effects of tDCS combined with cognitive training in older adults.”
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Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
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Cognition assessment using the NIH Toolbox
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Vision assessment using the NIH Toolbox
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“producing clinically meaningful outcomes [11, 15-18].”
The Alzheimer's Disease Centers' Uniform Data Set (UDS)
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Effects of transcranial direct current stimulation (tDCS) on human regional cerebral blood flow
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Cognitive Training Decreases Motor Vehicle Collision Involvement of Older Drivers
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“Cognitive training task difficulty may also impact the efficacy of tDCS, as behavioral improvements occur specifically when stimulation is paired with higher demanding tasks [67].”
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Prevalence of Dementia in Three Ethnic Groups
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Augmentation of working memory training by transcranial direct current stimulation (tDCS)
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The effects of medication use in transcranial direct current stimulation: A brief review
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Self-citationCognitive enhancement induced by anodal tDCS drives circuit-specific cortical plasticity
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Older adults improve on everyday tasks after working memory training and neurostimulation
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Modeling transcranial electrical stimulation in the aging brain
Indahlastari, A., Albizu, A., O’Shea, A., Forbes, M. A., Nissim, N. R., Kraft, J. N., Evangelista, N. D., Hausman, H. K., & Woods, A. J. (2020) · Brain Stimulation · doi:10.1016/j.brs.2020.02.007 · Cited by 113 · see citing works
Self-citationTraut, H. J., Guild, R. M., & Munakata, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.662139 · Cited by 100 · see citing works
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Self-citationChen, Y., Denny, K. G., Harvey, D., Farias, S. T., Mungas, D., DeCarli, C., & Beckett, L. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.07.151 · Cited by 98 · see citing works
Effects of electrode drift in transcranial direct current stimulation
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Self-citationIndividual differences and long-term consequences of tdcs-augmented cognitive training
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“Mediated by sex differences in brain structure, female older adults receive higher current density in targeted regions than their male counterparts [64], which may partly explain these discrepancies given the maledominated active stimulation group in phase 1.”
Modeling transcranial direct-current stimulation-induced electric fields in children and adults
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Self-citationWoods, A. J., Cohen, R. A., Marsiske, M., Alexander, G. E., Czaja, S. J., & Wu, S. S. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.11.017 · Cited by 76 · see citing works
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Neuronal and behavioral effects of multi-day brain stimulation and memory training
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Longitudinal trajectories of everyday function by diagnostic status
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Indahlastari, A., Hardcastle, C., Albizu, A., Alvarez-Alvarado, S., Boutzoukas, E. M., Evangelista, N. D., Hausman, H. K., Kraft, J., Langer, K., & Woods, A. J. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s259499 · Cited by 64 · see citing works
Self-citationNissim, N. R., O’Shea, A., Indahlastari, A., Telles, R., Richards, L., Porges, E., Cohen, R., & Woods, A. J. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00051 · Cited by 63 · see citing works
Self-citationShaw, J. S., & Hosseini, S. M. H. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2020.55 · Cited by 41 · see citing works
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Hardcastle, C., Hausman, H. K., Kraft, J. N., Albizu, A., O’Shea, A., Boutzoukas, E. M., Evangelista, N. D., Langer, K., Van Etten, E. J., Bharadwaj, P. K., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00535-1 · Cited by 22 · see citing works
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The electrical conductivity of human cerebrospinal fluid in vivo
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Self-citationWhite matter hyperintensities affect transcranial electrical stimulation in the aging brain
Indahlastari, A., Albizu, A., Boutzoukas, E. M., O’Shea, A., & Woods, A. J. (2021) · Brain Stimulation · doi:10.1016/j.brs.2020.11.009 · Cited by 14 · see citing works
Self-citationUtility of the <scp>iPad NIH</scp> Toolbox Cognition Battery in a clinical trial of older adults
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Sala, G., & Gobet, F. (2019) · Collabra: Psychology · doi:10.2478/collabra.2019.5.1.18
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- Authors
- Hausman, H. K., Alexander, G. E., Cohen, R., Marsiske, M., DeKosky, S. T., Hishaw, G. A., O'Shea, A., Kraft, J. N., Dai, Y., Wu, S., & Woods, A. J.
- Affiliations
- University of Florida Health (US)
- University of Arizona (US)
- Corresponding author
- Woods, Adam J.
- ORCID
- Venue
- Brain Stimulation
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 16
- Issue
- 3
- Pages
- 904-917
- ISSN
- 1876-4754 (ISSN-L)
- 1935-861X
- PMC
- PMC10436327
- OpenAlex
- W4378473387
- Semantic Scholar
- 86a4f4ee539400d1d8fa4abfa963955bf70e39a2
- Cited by
- 13
- References
- 81
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 6
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain stimulation (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute on Aging (P30AG019610, R01AG054077)
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- transcranial direct current stimulation, cognitive training, older adults, cognitive decline, fluid intelligence, sham stimulation
- MeSH terms
- Cognitive Training, Aged, Cognition, Humans, Cognitive Dysfunction, Transcranial Direct Current Stimulation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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