ReviewNeuroscience and biobehavioral reviews2018
Nicotine and networks: Potential for enhancement of mood and cognition in late-life depression.
Review in Neuroscience and biobehavioral reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Nicotinic Modulation of the Cognitive Control System in Late-life Depression
Nicotinic Modulation of the Cognitive Control System in Late-Life Depression (R33 Phase)
Open Label Extension Study of Depressed Mood Improvement Through Nicotine (Depressed MIND3)
Who cites it
25 citing papers in PubMed, 61 citations in OpenAlex.
- Effects of open-label transdermal nicotine antidepressant augmentation on affective symptoms and executive function in late-life depression.Journal of affective disorders · 2024Trial
- Transdermal Nicotine for the Treatment of Mood and Cognitive Symptoms in Nonsmokers With Late-Life Depression.The Journal of clinical psychiatry · 2018Trial
- Historical and Current Ethnographic Use of Tobacco in Brazil: Implications for the Medicinal Use of Nicotine in Parkinson's Disease.Journal of environmental science and public health · 2026Article
- Nicotine in Neurodegenerative and Neuropsychiatric Disorders: Mechanisms and Clinical Evidence.Neurochemical research · 2026Review
- Investigation of varenicline and tropisetron in latent inhibition and novel object recognition in mice.Scientific reports · 2026Article
- Nicotine Improves Memory Impairment in Aged Rats Through Enhanced Mitochondrial Homeostasis.Molecular neurobiology · 2025Article
- Nicotinic Acetylcholine Receptors in Glial Cells as Molecular Target for Parkinson's Disease.Cells · 2024Review
- The association of sun-cured tobacco and cigarette use with global cognitive function, verbal fluency and memory in patients with chronic obstructive pulmonary disease: A cross-sectional study.Tobacco induced diseases · 2024Article
- Association of diastolic and systolic blood pressure with depression: a cross-sectional study from NHANES 2005-2018.Frontiers in psychiatry · 2024Article
- Potential uses of cytisine for smoking cessation in menopausal women - literature summary.Przeglad menopauzalny = Menopause review · 2023Article
- Demographics, clinical characteristics and cognitive symptoms of heavy smokers and non-heavy smokers in Chinese male patients with chronic schizophrenia.European archives of psychiatry and clinical neuroscience · 2022Article
- St. John's wort (Hypericum perforatum) and depression: what happens to the neurotransmitter systems?Naunyn-Schmiedeberg's archives of pharmacology · 2022Review
- Biologically Active Compounds Present in Tobacco Smoke: Potential Interactions Between Smoking and Mental Health.Frontiers in neuroscience · 2022Review
- Association Between Various Types or Statuses of Smoking and Subjective Cognitive Decline Based on a Community Health Survey of Korean Adults.Frontiers in neurology · 2022Article
- Homomeric and Heteromeric α7 Nicotinic Acetylcholine Receptors in Health and Some Central Nervous System Diseases.Membranes · 2021Review
- Novel Pharmacotherapies in Parkinson's Disease.Neurotoxicity research · 2021Review
- EEG as a Functional Marker of Nicotine Activity: Evidence From a Pilot Study of Adults With Late-Life Depression.Frontiers in psychiatry · 2021Article
- The role of acetylcholine in negative encoding bias: Too much of a good thing?The European journal of neuroscience · 2021Review
- Nicotine and Cognition in Cognitively Normal Older Adults.Frontiers in aging neuroscience · 2021Review
- Nicotine and the nicotinic cholinergic system in COVID-19.The FEBS journal · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Late-life depression is characterized by both lower mood and poor cognitive performance, symptoms that often do not fully respond to current antidepressant medications. Nicotinic acetylcholine receptor (nAChR) agonists such as nicotine may serve as a novel therapeutic approach for this population. Both preclinical and preliminary clinical studies suggest that nAChR agonists can improve depressive behavior in animal models and improve mood in depressed individuals. Substantial literature also supports that nAChR agonists benefit cognitive performance, particularly in older populations. These potential benefits may be mediated by the effects of nAChR stimulation on neural network function and connectivity. Functional neuroimaging studies detail effects of nAChR agonists on the default mode network, central-executive network, and salience network that may oppose or reverse network changes seen in depression. We propose that, given the existent literature and the clinical presentation of late-life depression, nicotine or other nAChR agonists may have unique therapeutic benefits in this population and that clinical trials examining nicotine effects on mood, cognition, and network dynamics in late-life depression are justified.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.