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Resistance Training and Cognitive Function: Data from the 2025 Network Meta-Analysis

A network meta-analysis of 58 RCTs with 4,349 participants ranked resistance training first for cognitive function — ahead of aerobic exercise. The mechanism differs from aerobics: IGF-1 plays the central role, not BDNF.

7 min readNeuroscience24.07.2026
Quick answer

A network meta-analysis of 58 RCTs (Han et al., 2025) showed: resistance training ranks first for overall cognitive effect (SMD 0.55; SUCRA 83.3%), surpassing aerobic exercise. The mechanism operates primarily through IGF-1, not BDNF. Working and spatial memory improve significantly; data were obtained in older adults.

Why is the link between resistance training and the brain non-obvious?

When people talk about the brain benefits of exercise, the first association is aerobic activity: running, cycling, swimming. It was in the context of aerobics that increases in BDNF (brain-derived neurotrophic factor) and hippocampal volume were first described. Resistance training was traditionally seen as a tool for developing muscles and strength — but not neuroprotection.

This distinction began to blur over the past decade as randomized trials accumulated. By 2025, there were enough of them for a full network meta-analysis — a method that allows comparing multiple interventions simultaneously even in the absence of direct head-to-head trials.

2025 Network Meta-Analysis: resistance training in first place

Han, Zhang, and colleagues (Frontiers in Aging Neuroscience, 2025) conducted a network meta-analysis of 58 RCTs with 4,349 healthy older adults, comparing six types of exercise for their effects on cognitive function. This is the most large-scale comparative study in this field to date.

Intervention rankings by SUCRA (probability of ranking first) for overall cognition:

  • Resistance training: SMD = 0.55 (95% CI: 0.21–0.89); SUCRA = 83.3% — first place
  • Aerobic training: SMD = 0.49; SUCRA = 68.5% — second place
  • Resistance training also ranked first for inhibitory control: SUCRA = 82.1%
  • Aerobic training outperformed resistance training for memory: SMD = 0.42 vs. 0.35

All comparisons were based on 95% confidence intervals. An SMD of 0.55 for cognition is a moderate effect, comparable to what is expected from pharmacological interventions for mild cognitive decline.

A network meta-analysis of 58 RCTs ranked resistance training first for cognitive effect — above aerobic exercise. This does not mean abandoning aerobics: for memory, running remains more effective.

Which specific functions improve from resistance training?

Wu and Huang (Frontiers in Psychiatry, 2025) conducted a separate systematic review and meta-analysis focused exclusively on resistance training in older adults (17 RCTs, 739 participants). This allows us to detail exactly which cognitive domains respond to the training:

  • Overall cognitive function: SMD = 0.40 (p<0.05)
  • Working memory: SMD = 0.44 (p<0.001)
  • Verbal learning and memory: MD = 3.01 (p<0.001)
  • Spatial memory: SMD = 0.63 (p=0.0009) — the largest effect
  • Processing speed and executive functions: not statistically significant

These data are important for understanding the limitations: resistance training most convincingly improves memory (working and spatial), while its effect on processing speed and general executive functions is less pronounced.

Mechanism: IGF-1, not BDNF

This is where resistance training fundamentally differs from aerobic exercise. Aerobic exercise acts through BDNF — a neurotrophin that stimulates neurogenesis in the hippocampus. This mechanism is well documented for running and aerobic activities.

Rodriguez-Gutierrez and colleagues (Aging and Disease, 2023) analyzed 30 RCTs (1,247 participants aged 45–92) for neuroprotective biomarkers after resistance training:

  • IGF-1: SMD = 0.48 (95% CI: 0.27–0.69) — statistically significant increase
  • At a frequency of 3 times per week the effect is stronger: SMD = 0.55 (95% CI: 0.31–0.79)
  • BDNF: SMD = 0.33 (95% CI: -0.29 to 0.94) — not statistically significant

IGF-1 (insulin-like growth factor-1) is a systemic factor produced during muscle contraction. It crosses the blood-brain barrier and activates intracellular pathways of neuroprotection, neurogenesis, and synaptic plasticity. This is a fundamentally different pathway compared to the BDNF-mediated effect of running.

Cerebral blood flow: an additional mechanism

Allison and Al-Khazraji (American Journal of Physiology — Heart and Circulatory Physiology, 2024) summarized data on the effects of chronic resistance training on cerebral hemodynamics in older adults. With age, cerebral blood flow declines; this decline precedes neurodegenerative changes. The authors showed that regular resistance training is associated with improved cerebral perfusion and brain structure. Contrary to concerns about acute blood pressure spikes during heavy lifting, no long-term negative vascular effects were found in older adults.

What this means in practice
  • Resistance training 2–3 times per week is a well-supported intervention for maintaining and improving cognitive function, especially working and spatial memory.
  • Aerobic training remains important: it surpasses resistance training for declarative memory. An optimal program includes both types of exercise.
  • The cognitive mechanism of resistance training operates primarily through IGF-1, not BDNF. This means both types of training engage different neurobiological pathways and complement each other.
  • Data were obtained primarily in older adults (mean age 58–70). The ability to extrapolate to younger age groups is limited, although the mechanisms are biologically universal.
  • Program duration in trials was 13–26 weeks; short-term (less than 12 weeks) cognitive effects are less pronounced.
  • Progressive overload (gradual increase in training load) is a key parameter of a quality resistance program. Trials with progressive overload show more consistent results.

Frequently Asked Questions

Which is better for the brain — resistance or aerobic training?
The network meta-analysis by Han et al. (Frontiers in Aging Neuroscience, 2025), covering 58 RCTs with 4,349 participants, showed: resistance training ranked first for overall cognitive effect (SMD 0.55; SUCRA 83.3%), ahead of aerobic exercise (SMD 0.49; SUCRA 68.5%). However, aerobic training outperforms resistance training for memory improvement. The optimal approach is combining both types.
Why does resistance training improve cognitive function?
The key mechanism is an increase in insulin-like growth factor-1 (IGF-1). The meta-analysis by Rodriguez-Gutierrez et al. (Aging and Disease, 2023), including 30 RCTs with 1,247 participants, showed a significant rise in IGF-1 after resistance training (SMD 0.48). BDNF did not show a consistent effect with resistance training, unlike aerobic exercise. An additional mechanism is improved cerebral blood flow.
Which specific cognitive functions does resistance training improve?
The meta-analysis by Wu and Huang (Frontiers in Psychiatry, 2025) across 17 RCTs with 739 participants showed: working memory improved (SMD 0.44; p<0.001), spatial memory improved the most (SMD 0.63), and verbal learning and memory improved significantly (MD 3.01). Processing speed and executive functions showed no significant improvement.
How often should you train with weights to achieve cognitive benefits?
According to Rodriguez-Gutierrez et al. (2023), the greatest IGF-1 gains were recorded at a frequency of 3 times per week (SMD 0.55). The optimal program duration, based on meta-analysis data, is 13–26 weeks. Specific loading parameters varied across trials, making precise protocol recommendations difficult.

Sources

  1. Han H, Zhang J, Zhang F, Li F, Wu Z. «Optimal exercise interventions for enhancing cognitive function in older adults: a network meta-analysis». Frontiers in Aging Neuroscience, 2025. PMID: 40717897. pmc.ncbi.nlm.nih.gov/articles/PMC12289702/
  2. Wu J, Huang C. «A systematic review and meta-analysis of the effects of resistance exercise on cognitive function in older adults». Frontiers in Psychiatry, 2025. PMID: 41503279. pmc.ncbi.nlm.nih.gov/articles/PMC12772445/
  3. Rodriguez-Gutierrez E, Torres-Costoso A, Pascual-Morena C, et al. «Effects of Resistance Exercise on Neuroprotective Factors in Middle and Late Life: A Systematic Review and Meta-Analysis». Aging and Disease, 2023. PMID: 37163437. pmc.ncbi.nlm.nih.gov/articles/PMC10389831/
  4. Allison EY, Al-Khazraji BK. «Cerebrovascular adaptations to habitual resistance exercise with aging». American Journal of Physiology — Heart and Circulatory Physiology, 2024. PMID: 38214906. pubmed.ncbi.nlm.nih.gov/38214906/
This material is for educational purposes only and does not constitute medical advice.

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