CogniFit Research: every published study, by topic

CFCogniFit study summaries

Plain-language summaries of the headline studies, each citing the published paper and its DOI. These pages are fully crawlable and replace the old partner-login links.

DBThe full research corpus

Below is the complete catalogue of 209 works, grouped by topic. Titles link to the published article through its DOI where available; entries with a CogniFit summary page carry a “Read the CogniFit summary” link. The list spans 2007–2026 and includes randomized trials, observational studies, validation work, reviews, conference abstracts and theses.

REReviews & meta-analyses 34 papers

1. Arvaniti et al (2025). Neurocognitive evaluation in patients with intracranial Meningiomas: A systematic review. doi:10.1016/j.bas.2025.104383
2. Bedoya & Figueroa (2025). Systematic review of AI-based cognitive training programs. doi:10.24050/reia.v22i43.1800
3. Jiang et al (2025). New insights into translational research in Alzheimer's disease guided by artificial intelligence, computational and systems biology. doi:10.1016/j.apsb.2025.08.015
4. Li et al (2025). Technology-Assisted Motor-Cognitive Training Among Older Adults. doi:10.2196/67250
5. Lipska & Leś (2025). Mobile applications for individuals living with dementia. doi:10.15557/an.2024.0023
6. Panikratova et al (2025). Efficacy of Working Memory Training. doi:10.34883/pi.2025.16.4.006
7. Rijke et al (2025). Digital Tools for People Without an Alzheimer Disease. doi:10.2196/64862
8. Sakurai et al (2025). Ecological and momentary assessment and intervention for schizophrenia: Use of smartphone apps and video games. doi:10.1016/j.schres.2025.07.007
9. Zang et al (2025). Digital Therapeutics for Cognitive Impairment. doi:10.2196/73689
10. Ali et al (2024). Understanding Digital Dementia and Cognitive Impact. doi:10.7759/cureus.70029
11. Gorenshtein et al (2024). Intervention modalities for brain fog caused by long-COVID: systematic review of the literature. doi:10.1007/s10072-024-07566-w Read the CogniFit summary →
12. Kwok et al (2024). The SOCAP (Social Communication, Affiliation, and Presence) Taxonomy. doi:10.2196/49714
13. Melillo et al (2024). Research evidence on the management of the cognitive impairment. doi:10.1192/j.eurpsy.2024.1770
14. Razavi et al (2024). Cognitive rehabilitation in bipolar spectrum disorder: A systematic review. doi:10.1016/j.ibneur.2024.04.001
15. Silva et al (2024). Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review. doi:10.14283/jpad.2024.17 Read the CogniFit summary →
16. Арипова (2024). "Oriental Art and Culture" Scientific Methodical Journal / https://oac.dsmi-qf.uz Volume 5 Issue 6 / December 2024.
17. Bang et al (2023). Mobile applications for cognitive training: Content analysis and quality review. doi:10.1016/j.invent.2023.100632
18. Cubillos & Rienzo (2023). Digital Cognitive Assessment Tests. doi:10.2196/47487
19. Schroeder et al (2023). Older Adults and New Technology. doi:10.2196/44564
20. Zeiler et al (2023). Wissenschaftliche Evidenz und Nutzerqualität von Mobile-Health-Anwendungen für. doi:10.1016/j.zefq.2023.01.003
21. Nguyen, Murphy & Andrews (2021). A Game a Day Keeps Cognitive Decline Away? A Systematic Review and Meta-Analysis of Commercially-Available Brain Training Programs in Healthy and Cognitively Impaired Older Adults. doi:10.1007/s11065-021-09515-2
22. Yu & Chan (2021). Meta-analysis of the effects of game types and devices on older adults-video game interaction: Implications for video game training on cognition. doi:10.1016/j.apergo.2021.103477
23. Irazoki et al (2020). Technologies for Cognitive Training and Cognitive Rehabilitation for People With Mild Cognitive Impairment and Dementia. A Systematic Review. doi:10.3389/fpsyg.2020.00648
24. Vaezipour et al (2020). Mobile Apps for Speech-Language therapy. doi:10.2196/18858
25. Xiong et al (2020). Effects of physical exercise on executive function. doi:10.1016/j.ijnurstu.2020.103810
26. Sprague et al (2019). The impact of behavioral interventions on cognitive function in healthy older adults_ A systematic review. doi:10.1016/j.arr.2019.04.002
27. Marusic et al (2018). Cognitive-Based Interventions to Improve Mobility: A Systematic Review and Meta-analysis. doi:10.1016/j.jamda.2018.02.002
28. Goverover et al (2017). Evidenced Based Cognitive Rehabilitation for Persons with Multiple Sclerosis: An Updated Review of the Literature from 2007-2016. doi:10.1016/j.apmr.2017.07.021
29. Shah et al (2017). Enhancing Cognitive Functioning in Healthly Older Adults: a Systematic Review of the Clinical Significance of Commercially Available Computerized Cognitive Training in Preventing Cognitive Decline. doi:10.1007/s11065-016-9338-9 Read the CogniFit summary →
30. Miskowiak et al (2016). Cognitive enhancement treatments for bipolar disorder_ A systematic review and methodological recommendations. doi:10.1016/j.euroneuro.2016.08.011
31. Ballesteros et al (2015). Maintaining older brain functionality: A targeted review. doi:10.1016/j.neubiorev.2015.06.008
32. Horsch et al (2015). Adherence to Technology-Mediated Insomnia Treatment. doi:10.2196/jmir.4115
33. Rolandi et al (2015). Efficacy of lifestyle interventions on clinical and neuroimaging outcomes in elderly. doi:10.1016/j.arr.2015.11.003
34. McCallum & Boletsis (2013). A Taxonomy of Serious Games for Dementia. doi:10.1007/978-3-658-02897-8_17 Read the CogniFit summary →

HEHealthy aging & older adults 16 papers

1. Carmona-Torres et al (2026). Improvements in Cognitive and Health Assessment in People Older Than 60 Years Through Cognitive Training With the CogniFit App. doi:10.1177/21582440251405342 Read the CogniFit summary →
2. Nájera et al (2025). Epicatechin-Enriched Cacao Subproducts Improve Cognition in Older Subjects: Proof of Concept. doi:10.3390/jmms12020041
3. Quiros et al (2025). Effects of a non-pharmacological program combining physical and cognitive interventions in older adults in Panama. doi:10.1002/alz70860_098577
4. Gonçalves et al (2024). The conceptualisation of a Serious Games model applied to the elderly population. doi:10.1016/j.procs.2024.06.252
5. Quiros et al (2024). Effects of a cognitive and physical intervention program in older adults in Panama. doi:10.1002/alz.086255
6. Yang et al (2024). Exploring the effects of combining health qigong and dance on working memory in middle-aged and elderly women: A preliminary investigation. doi:10.1016/j.exger.2024.112515
7. Damayanti et al (2023). Cognitive fitness of Post-Retirement employees. doi:10.36941/ajis-2023-0143
8. Embon-Magal et al (2022). The effect of co-dependent (thinking in motion [TIM]) versus single-modality (CogniFit) interventions on cognition and gait among community-dwelling older adults with cognitive impairment: a randomized controlled study. doi:10.1186/s12877-022-03403-x Read the CogniFit summary →
9. Marusic, Verghese & Mahoney (2022). Does Cognitive Training Improve Mobility, Enhance Cognition, and Promote Neural Activation?. doi:10.3389/fnagi.2022.845825
10. Verghese et al (2021). Computerised cognitive remediation to enhance mobility in older adults: a single-blind, single-centre, randomised trial. Read the CogniFit summary →
11. Verghese et al (2016). Cognitive Remediation to Enhance Mobility in Older Adults the Crem Study. doi:10.2217/nmt-2016-0034
12. West (2016). Computerized Cognitive Intervention in Cognitively Normal Very Elderly Individuals. Read the CogniFit summary →
13. Shatil et al (2014). Novel Television-Based Cognitive Training Improves. doi:10.1371/journal.pone.0101472 Read the CogniFit summary →
14. Demiris et al (2013). Using informatics to capture older. doi:10.1016/j.ijmedinf.2011.03.004
15. Shatil (2013). Does combined cognitive training and physical activity training enhance cognitive abilities more than either alone? A four-condition randomized controlled trial among healthy older adults. doi:10.3389/fnagi.2013.00008 Read the CogniFit summary →
16. Korczyn et al (2007). O1–03–02: Computer based cognitive training with mindfit® improved cognitive performances above the effect of classic computer games: Prospective, randomized, double-blind intervention study in the elderly. Read the CogniFit summary →

MCMCI, dementia & cognitive decline 10 papers

1. Olmos et al (2026). Effects of a Mediterranean Diet-Based Program on Cognitive Decline: Non-Blinded Non-Randomized Controlled Trial of the CESPORT Program. doi:10.3390/nu18071073
2. Bahar-Fuchs (2025). Brain health PRO/santé cerveau PRO: The development of a web-based program for dementia literacy and risk factor reduction. doi:10.1016/j.trci.2015.04.003
3. Vinay et al (2025). Top-funded digital health companies offering lifestyle interventions for dementia prevention: Company overview and evidence analysis. doi:10.1371/journal.pone.0323390
4. Wang et al (2025). Crossword puzzle training and neuroplasticity in mild cognitive impairment (COGIT-2): 78-week, multi-site, randomized controlled trial with cognitive, functional, imaging and biomarker outcomes. doi:10.18203/2349-3259.ijct20251032
5. Sánchez-Vincitore et al (2023). Cognitive decline monitoring through a web-based application. doi:10.3389/fnagi.2023.1212496
6. Groznik & Sadikov (2019). Gamification in Cognitive Assessment and Cognitive Training for Mild Cognitive Impairment. doi:10.1007/978-3-030-15620-6_8
7. Asghar et al (2017). Usability evaluation of assistive technologies through qualitative research focusing on people with mild dementia. doi:10.1016/j.chb.2017.08.034
8. Webb et al (2016). Home-based Computerised Cognitive Training for Non-demented Older Adults at Risk of Dementia: a Double-blind Randomised Controlled Trial. doi:10.1016/j.jalz.2016.06.802
9. Siberski (2014). Neurocognitive disorders. doi:10.1016/b978-0-7020-4588-2.00028-0
10. Peretz et al (2009). Improving cognitive performance in MCI.

INInsomnia & sleep 6 papers

1. Tapia et al (2026). Cognitive training at home for clinically defined insomnia: effects on sleep and psychological functioning. doi:10.3389/fdgth.2026.1725773
2. Curtis et al (2025). Cognitive training in mild cognitive impairment and insomnia.
3. Tapia, Puertas & Duñabeitia (2023). Digital Therapeutics for Insomnia. doi:10.31083/j.jin2202034 Read the CogniFit summary →
4. Tapia, Puertas & Duñabeitia (2022). Study Protocol for a Randomized Controlled Trial Assessing the Effectiveness of Personalized Computerized Cognitive Training for Individuals With Insomnia. doi:10.3389/fnbeh.2022.779990
5. Haimov & Shatil (2013). Cognitive Training Improves. doi:10.1371/journal.pone.0061390 Read the CogniFit summary →
6. Haimov, Hanuka & Horowitz (2008). Chronic Insomnia and Cognitive Functioning Among Older Adults. doi:10.1080/15402000701796080

MUMultiple sclerosis 2 papers

1. Amato & Goretti (2016). Cognitive impairment in multiple sclerosis. doi:10.1016/b978-0-12-801914-6.00027-1
2. Shatil et al (2010). Home-based personalized cognitive training in MS patients: A study of adherence and cognitive performance. doi:10.3233/NRE-2010-0546 Read the CogniFit summary →

ADADHD, children & education 28 papers

1. Gonzales Santos et al (2026). Educational Strategies to Overcome Dyscalculia. doi:10.63969/vzdgb442
2. Caamaño-Navarrete et al (2025). Association Between Food Habits with Mental Health and Executive Function in Chilean Children and Adolescents. doi:10.3390/children12030268
3. Caamaño-Navarrete et al (2025). The Potential Mediating Role of Good Mental Health on the Relationship Between Low Physical Activity and High Screen Time with Executive Functions in Chilean Children and Adolescents. doi:10.3390/children12101402
4. Donoso et al (2025). Working Memory and Inhibitory Control in Schoolchildren.
5. Georgoula et al (2025). Technology-enhanced cognitive training for individuals with autism spectrum disorder and intellectual disability. doi:10.1111/1467-8578.70026
6. Caamaño-Navarrete et al (2024). Association Between Screen Time and Lifestyle Parameters with Executive Functions in Chilean Children and Adolescents: Potential Mediating Role of Health-Related Quality of Life. doi:10.3390/children12010002
7. Curtis et al (2024). Does Educational Attainment Improve Cognitive Functioning of Older Tribal Population in India?. doi:10.1093/geroni/igae098
8. Jowik-Krzemińska et al (2024). Cognitive Functions in Adolescent Girls with Anorexia Nervosa during Nutritional Rehabilitation. doi:10.3390/nu16203435
9. Korcz et al (2024). The effects of the ‘active before school’ programme on the academic skills of 8–9-year-old children: a physically and cognitively engaging intervention. doi:10.3389/fpubh.2024.1402901
10. Reina-Reina et al (2024). Impact of a cognitive training on reading of 6-year-old. doi:10.17083/ijsg.v11i3.754
11. Sarmiento et al (2024). Transformando la enseñanza de las matemáticas en. doi:10.48204/j.centros.v13n1.a4641
12. Schmid et al (2024). Processing Speed Partially Mediates Executive Function Impairments in Adolescents with Congenital Heart Disease: Results from a Prospective Cohort Study. doi:10.1016/j.jpeds.2024.114091
13. Tapia et al (2024). Enhancing Executive Functions in Pediatric Epilepsy: Feasibility and Efficacy of a Computerized Cognitive Training Program. doi:10.3390/children11040484 Read the CogniFit summary →
14. Asensio et al (2023). The Cognitive Profile of Intellectual Giftedness. doi:10.17583/ijep.11828
15. Luis-Ruiz et al (2023). Influence of Executive Function Training on BMI, Food Choice, and Cognition in Children with Obesity: Results from the TOuCH Study. doi:10.3390/brainsci13020346
16. Pérez & Cuartas (2023). Impacto de la rehabilitación neuropsicológica computarizada en un paciente con anemia de células falciformes y TDAH. Estudio experimental de caso único. doi:10.46634/riics.186
17. Reina-Reina, Conesa & Duñabeitia (2023). Impact of a cognitive stimulation program on the reading comprehension of children in primary education. doi:10.3389/fpsyg.2022.985790
18. Conesa & Dunabeitia (2021). Effects of computer-based training on children’s executive functions and academic achievement. doi:10.1080/00220671.2021.1998881
19. Guiler (2021). A neuropsychological profile of college students with attention deficit.
20. Nejati (2021). Program for attention rehabilitation and strengthening (PARS) improves executive functions in children with attention deficit- hyperactivity disorder (ADHD). doi:10.1016/j.ridd.2021.103937
21. Sánchez-Castañeda et al (2021). Executive Function Training in Childhood Obesity: Food Choice, Quality of Life, and Brain Connectivity (TOuCH): A Randomized Control Trial Protocol. doi:10.3389/fped.2021.551869
22. Emihovich et al (2020). Can Video Gameplay Improve Undergraduates’ Problem-Solving Skills?. doi:10.4018/ijgbl.2020040102
23. Schertz et al (2020). Adverse effects reported by children with ADHD undergoing transcranial direct current stimulation. doi:10.1016/j.clinph.2019.12.123
24. Fernández-Daza (2019). Rehabilitación neuropsicológica en niños con TDAH. doi:10.21500/22563202.3958
25. Mora Chona (2018). Implementación de una estrategia pedagógica para mejorar la atención en los.
26. Horowitz-Kraus & Breznitz (2014). Can reading rate acceleration improve error monitoring and cognitive abilities underlying reading in adolescents with reading difficulties and in typical readers?. doi:10.1016/j.brainres.2013.11.027
27. Mayseless (2011). Can Intervention Programs Influence How the Dyslexic. doi:10.1080/87565641.2011.606421
28. Shiran & Breznitz (2011). The effect of cognitive training on recall range and speed of information processing in the working memory of dyslexic and skilled readers. doi:10.1016/j.jneuroling.2010.12.001

DRDriving & performance under load 8 papers

1. Jamro et al (2025). Cognitive Flexibility Predicts Live-Fire Rifle Marksmanship in Airborne Cadets: A Pilot Study. doi:10.3390/brainsci15111150
2. Caamaño-Navarrete et al (2024). Healthy Lifestyle Related to Executive Functions in Chilean University Students: A Pilot Study. doi:10.3390/healthcare12101022
3. Tapia et al (2024). The effects of cognitive training on driving performance. doi:10.1007/s10339-024-01245-6 Read the CogniFit summary →
4. Toloraia et al (2024). High-frequency multimodal training with a focus on Tai Chi in people with Parkinson’s disease: a pilot study. doi:10.3389/fnagi.2024.1335951
5. Duñabeitia et al (2023). Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study. doi:10.3390/ijerph20043100 Read the CogniFit summary →
6. Ownby (2023). Impact of adherence on cognitive outcomes in a pilot study.
7. Tapia & Duñabeitia (2023). Rethinking Driving Assessment. doi:10.21926/obm.neurobiol.2304187
8. Tapia et al (2023). Shifting Perceptions and Emotional Responses to Autonomous Vehicles Using Simulated Experiences. doi:10.3390/bs14010029

MEMethodology, assessment & validation 16 papers

1. Trujillo et al (2026). A Multimodal Dataset for Neurophysiological and AI Applications. doi:10.1038/s41597-026-06758-7
2. Lira-Delcore et al (2025). Assessing the Stability of Cognitive and Attentional. doi:10.14195/1647-8606_68_7
3. Asensio (2023). IQbe Test manipulativo digitalizado.
4. Asensio & Duñabeitia (2023). The necessary, albeit belated, transition to computerized cognitive assessment. doi:10.3389/fpsyg.2023.1160554
5. Gonçalves & Da Silva (2023). Cognitive Rehabilitation A Comparison Model. doi:10.1016/j.procs.2023.01.418
6. Buades & Duñabeitia (2022). Intelligence subcomponents and their relationship to general knowledge. doi:10.1007/s41809-022-00113-z
7. Conesa & Duñabeitia (2022). Adaptation and Validation.
8. Rocabado & Duñabeitia (2022). Assessing Inhibitory Control in the Real World Is Virtually Possible: A Virtual Reality Demonstration. doi:10.3390/bs12110444
9. Conesa & Duñabeitia (2021). The Basic Psychological Needs in the Classroom Scale (BPN-CS). doi:10.3390/bs11070096
10. Carlo et al (2020). Assessment of Real-World Use. doi:10.1001/jamanetworkopen.2020.11978
11. Mohamed et al (2018). Characterizing Focused Attention and Working Memory Using EEG. doi:10.3390/s18113743
12. Bláhová (2013). Výzkum ekologické validity kognitivního trénování.
13. Chandler et al (2013). Predicting individual differences.
14. Gigler et al (2013). Preliminary evidence for the feasibility. doi:10.4017/gt.2013.12.1.007.00
15. Pertíñez & Linares (2013). Platforms for neuropsychological rehabilitation.
16. Cimermanová (2011). Ekologická validita trénování kognitivních funkcí on-line.

OTOther clinical & applied studies 89 papers

1. Ajjimaporn et al (2026). How Long Is Too Long.
2. Campos et al (2026). Percepción del Impacto sobre la Salud y Bienestar Cognitivo y. doi:10.33412/apanac.2025.72
3. Jurado et al (2026). Estimulación de funciones ejecutivas mediante juegos digitales neurodidácticos en.
4. Kamarunzaman et al (2026). Effects of (poly)phenol-rich cranberry on mental health in university students: the CRANMOOD randomised controlled trial. doi:10.1016/j.clnu.2026.106677
5. Prasath et al (2026). Utilisation of mobile apps in neurological rehabilitation practice. doi:10.1186/s12913-026-14098-w
6. Schmid et al (2026). Multimodal personalised executive function intervention (E-Fit). doi:10.1136/bmjopen-2025-107681
7. Tomé-Fernández et al (2026). Association Between Mineral Intake and Cognitive Performance in Spanish Adults with Overweight and Obesity: A Cross-Sectional Study. doi:10.3390/nu18071129
8. Tuncer et al (2026). Acute effects of combined and isolated caffeine and theanine supplementation on physical and cognitive performance in competitive athletes: a randomized, double-blind, placebo-controlled crossover study. doi:10.3389/fnut.2025.1751673
9. Γεωργούλα (2026). Η χρήση της τεχνολογίας για την ανάπτυξη των.
10. Alahmed et al (2025). The Effect of Video Games on Cognitive Functions.
11. Boltaboyeva et al (2025). Maintaining cognitive integrity An analysis of thermal stress in high-stakes. doi:10.53894/ijirss.v8i5.9444
12. Cabrera & Castro (2025). Universidad de Cuenca.
13. Doraiswamy et al (2025). Digital cognitive twins in mental health. doi:10.1038/s44220-025-00482-8
14. Gillespie et al (2025). Moderate alcohol consumption does not protect cognitive function when controlling for income and cultural factors. doi:10.3389/fnagi.2025.1569069
15. Jamail & Fuller (2025). Transcranial Photobiomodulation as an Adjunctive. doi:10.1016/j.explore.2025.103228
16. Kovalev (2025). Historical-theoretical analysis of emotional attitudes.
17. Kren (2025). Vpliv gibalno-kognitivne medialzne.
18. Lakshmi et al (2025). Efficacy of the cognifit app in improving cognitive function.
19. Linares Rodríguez & Niño González (2025). Neurociencia, Neuroeducación e Inteligencia Artificial Una tríada para.
20. Martínez-Tapia et al (2025). Cognitive Dysfunction and Learning Implications. doi:10.7759/cureus.99806
21. Ockelmann et al (2025). Personalized and gamified auditory-cognitive training improves naturalistic speech-in-noise comprehension in older adults with hearing loss. doi:10.1038/s41539-025-00369-4
22. Oleiro et al (2025). Efeitos do treinamento intervalado de alta intensidade em diferentes desfechos em. doi:10.12820/rbafs.30e0393
23. Oleiro et al (2025). Efeitos do treinamento intervalado de alta intensidade. doi:10.12820/rbafs.30e0393
24. Rocabado et al (2025). Transforming language research. doi:10.1038/s41598-025-08319-1
25. Rui & Wei (2025). Gamification and neurogaming to improve motor coordination and cognitive abilities in musicians and athletes. doi:10.1016/j.actpsy.2025.105857
26. Sharopov (2025). The impact of neuropsychological rehabilitation on postoperative. doi:10.5281/zenodo.15367740 Read the CogniFit summary →
27. Shkabara et al (2025). Impact of chronic stress on alpha band spectral power and the potential of digital correction of cognitive functions. doi:10.15421/0225099 Read the CogniFit summary →
28. Surana et al (2025). Occupational Therapists’ Experiences and Perspectives About Using Apps in Neurorehabilitation in India: A Qualitative Study Protocol. doi:10.1016/j.mex.2025.103481
29. Tudor et al (2025). Development of balance and inhibition of return. doi:10.35189/dpeskj.2025.64.3.2
30. Alt et al (2024). Movement-based cognitive training does not significantly shorten the learning curve for acquiring arthroscopic basic skills. doi:10.1002/ksa.12351
31. Bogataj et al (2024). Randomized Controlled Trial of Intradialytic Cognitive and Physical Training to Enhance Functional Capacity. doi:10.1016/j.ekir.2024.04.029
32. Canfora et al (2024). Blueprint Persona and Information and Communication Technology Interventions: Addressing Unmet Needs in Burning Mouth Syndrome Care. doi:10.1016/j.jebdp.2024.102047
33. Cortés-Álvarez et al (2024). Job burnout, cognitive functioning, and Brain-derived neurotrophic factor expression among hospital Mexican nurses. doi:10.1371/journal.pone.0304092
34. Georgoula & Koustriava (2024). International Journal of Instruction.
35. Ghosal & Kabi (2024). Effect of Trataka on selected psychomotor abilities.
36. Heaton et al (2024). Handbook of Mental Performance: Lessons from High Performance Domains Edited. doi:10.4324/9781003378969-10
37. Ivanisevic et al (2024). Cognitive Function during and after Pregnancy and One-Year Postpartum in Type 1 Diabetes: A Longitudinal Study. doi:10.3390/nu16162751
38. Kamarunzaman et al (2024). Effects of cranberry (poly)phenols. doi:10.1017/s0029665124005172
39. Mohita (2024). Improvement of the Cognitive Abilities in a Chronic Generalized Anxiety Disorder and Moderate Depression Case using a Novel Integrated Approach: The Cognitome Program. doi:10.29328/journal.jnnd.1001100
40. Serra-Blasco et al (2024). Cognitive-enhanced eHealth psychosocial stepped intervention for managing breast cancer-related cognitive impairment: Protocol for a randomized controlled trial. doi:10.1177/20552076241257082
41. Curtis et al (2023). Cognitive Training Approaches to Improve Cognition.
42. Olczyk (2023). Analiza czynników wpływających na zdolności poznawcze u pacjentów przewlekle hemodializowanych z uwzględnieniem utlenowania płatów czołowych oraz sztywności naczyń krwionośnych.
43. Olczyk et al (2023). The Influence of Healthy Habits on Cognitive Functions in a Group of Hemodialysis Patients. doi:10.3390/jcm12052042
44. Puzonaitė (2023). Asmenų, patyrusių trauminį galvos smegenų sužalojimą.
45. Quintero Giraldo et al (2023). Efecto de un programa de rehabilitación neuropsicológica del. doi:10.33881/2027-1786.rip.16105 Read the CogniFit summary →
46. Reganova et al (2023). Effects of Intermittent Hypoxia and Electrical Muscle Stimulation on Cognitive and Physiological Metrics. doi:10.3390/bioengineering10050536
47. Schmid et al (2023). Multimodal personalised executive function intervention (E-Fit). doi:10.1136/bmjopen-2023-073345
48. Serra-Blasco et al (2023). Digital cognitive remediation for breast cancer women: protocol of a randomised clinical trial. doi:10.1093/annonc/mdz410
49. Tapia et al (2023). Effectiveness of a Computerized Home-Based Cognitive Stimulation Program for Treating Cancer-Related Cognitive Impairment. doi:10.3390/ijerph20064953 Read the CogniFit summary →
50. Berbegal et al (2022). Memory function performance in individuals classified as overweight, obese, and normal weight. doi:10.3389/fnut.2022.932323
51. de los Reyes (2022). Aplicaciones Neurales del Espectro Visible en el Diseño Arquitectónico.
52. Ivanisevic et al (2022). Positive Association between Preserved C-Peptide and Cognitive Function in Pregnant Women with Type-1 Diabetes. doi:10.3390/biomedicines10112785
53. López-Hernández (2022). Rehabilitación neuropsicológica.
54. Rocabado et al (2022). Environment Context Variability. doi:10.3390/brainsci12111516
55. Schertz et al (2022). Transcranial Direct Current Stimulation. doi:10.1016/j.jpsychires.2022.08.022
56. Schmidt & Carmona (2022). Perioperative cognitive evaluation and training: the use of digital games for assessment and prevention of cognitive decline after major non-cardiac surgery. doi:10.1016/j.bjane.2021.11.001
57. Silverman et al (2022). Does Computerized Cognitive Training Improve Diabetes Self-Management and Cognition? A Randomized Control Trial of Middle-Aged and Older Veterans with Type 2 Diabetes. doi:10.1016/j.diabres.2022.110149 Read the CogniFit summary →
58. Tapia, Rocabado & Duñabeitia (2022). Cognitive estimation of speed. doi:10.31083/j.jin2101010
59. Öztürk et al (2022). Investigation of cognitive, psychological. doi:10.31067/acusaglik.1091095
60. Bonell et al (2021). Impact of Personal Cooling on Performance, Comfort and Heat Strain of Healthcare Workers in PPE, a Study From West Africa. doi:10.3389/fpubh.2021.712481
61. Piotr et al (2021). Factors Affecting Cerebral Oxygenation in Hemodialysis Patients.
62. Ruiz-Robledillo et al (2021). Cognitive Functioning and Its Relationship with Self-Stigma in Men with HIV Who Have Sex with Men: The Mediating Role of Health-Related Quality of Life. doi:10.2147/PRBM.S332494 Read the CogniFit summary →
63. Sánchez-SanSegundo et al (2021). The Role of BMI, Body Fat Mass and Visceral Fat in Executive Function in Individuals with Overweight and Obesity. doi:10.3390/nu13072259
64. Tapia & Duñabeitia (2021). Improving Language Acquisition and Processing With Cognitive Stimulation. doi:10.3389/fpsyg.2021.663773
65. Välimäki et al (2021). The impact of video gaming on cognitive functioning of people with schizophrenia (GAME-S): study protocol of a randomised controlled trial. doi:10.1186/s12888-020-03031-y
66. Bahar-Fuchs et al (2020). Computerized Cognitive Training. doi:10.1093/gerona/glz073
67. Paul & Datta (2020). Application of machine learning for early diagnosis. doi:10.1016/b978-0-12-817913-0.00006-7
68. Oleksiyenko et al (2019). Impact of Convergence of Smart-Technology as Compared to Traditional Methodological.
69. Vicent-Gil et al (2019). Testing the efficacy. doi:10.1186/s12888-019-2117-4
70. West et al (2019). Short-term computerized cognitive training does not improve cognition compared to an active control in non-demented adults aged 80 years and above. doi:10.1017/s1041610219000267
71. Covey et al (2018). Working memory training and perceptual discrimination training impact overlapping and distinct neurocognitive processes_ Evidence from event-related potentials and transfer of training gains. doi:10.1016/j.cognition.2018.08.012
72. Salas (2018). The impact of binaural white noise with oscillations. doi:10.1016/j.trci.2017.10.003
73. Bahar-Fuchs et al (2017). Tailored and adaptive CCT.
74. Bloom et al (2017). Computerized cognitive training for older diabetic adults at risk of dementia: Study protocol for a randomized controlled trial. doi:10.1016/j.trci.2017.10.003
75. Rist & Pearce (2017). Improving athlete mental training engagement using smartphone. doi:10.18178/ijssh.2017.v7.809
76. Välimäki et al (2016). Digital Gaming for Improving the Functioning of People With Traumatic Brain Injury. doi:10.2196/resprot.4841
77. Li et al (2015). Training of Working Memory Impacts Neural Processing of Vocal Pitch Regulation. doi:10.1038/srep16562
78. Siberski et al (2015). Computer based cognitive training. doi:10.1177/1533317514539376
79. Cruz et al (2013). A rehabilitation tool designed for intensive Web-Based Cognitive Training. doi:10.2196/resprot.2899
80. Horowitz-Kraus (2013). Differential effect of cognitive training. doi:10.1177/1087054713502079
81. Martinovic et al (2013). ``Critic-proofing'' of the cognitive aspects of simple games. doi:10.1016/j.compedu.2013.10.017
82. Preiss et al (2013). Personalized cognitive training in unipolar and bipolar disorder: a study of cognitive functioning. doi:10.3389/fnhum.2013.00108 Read the CogniFit summary →
83. Shatil (2012). Cognitive change across the life span Recent insights.
84. Peretz et al (2011). Computer-based, personalized cognitive training. doi:10.1159/000323950
85. Thompson et al (2011). A Holistic Approach to Assess. doi:10.1089/tmj.2011.0059 Read the CogniFit summary →
86. Verghese et al (2010). Effect of Cognitive Remediation. doi:10.1093/gerona/glq127 Read the CogniFit summary →
87. Horowitz-Kraus & Breznitz (2009). Can the Error Detection Mechanism. doi:10.1371/journal.pone.0007141
88. Korczyn et al (2008). CogniFit Program Improves Cognitive Abilities.
89. Shatil et al (2008). Improving Cognitive Performance.

LMWhat this index does and does not show

Inclusion in this index means a published work used or assessed CogniFit tools, it does not mean the study reported a positive result for cognitive training. Several listed trials and reviews report null or mixed findings, and they are kept in deliberately; for example, West et al. (2019) found that short-term computerized cognitive training did not improve cognition compared to an active control in adults aged 80 and above. The 209 entries also vary widely in design and weight of evidence: the list mixes randomized controlled trials with observational studies, conference abstracts and doctoral theses, and some entries (mainly theses and conference reports) have no DOI to link to. One-line summaries are given only where they can be derived from the published title. This index is a bibliography, not a clinical recommendation, and it is not medical advice.