ArticleAlzheimer's research & therapy2018
The impact of transcranial magnetic stimulation on diagnostic confidence in patients with Alzheimer disease.
Article in Alzheimer's research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Cognitive and Neuropathophysiological Outcomes of Gamma-tACS in Dementia: A Systematic Review.Neuropsychology review · 2024Pooled it
- Cortical excitability and plasticity in Alzheimer's disease and mild cognitive impairment: A systematic review and meta-analysis of transcranial magnetic stimulation studies.Ageing research reviews · 2022Pooled it
- Epilepsy and EEG abnormalities in neurodegenerative dementias: toward a system epilepsy framework.Frontiers in aging neuroscience · 2026Review
- Research on Alzheimer Disease in Italy: A Narrative Review of Pharmacological and Non-Pharmacological Interventions.Neurology international · 2025Review
- Transcranial Magnetic Stimulation as a Diagnostic Tool in Mild Cognitive Impairment: A Systematic Review.Brain sciences · 2025Review
- Transcranial Magnetic Stimulation Across the Lifespan: Impact of Developmental and Degenerative Processes.Biological psychiatry · 2024Review
- Transcranial Magnetic Stimulation (rTMS) on the Precuneus in Alzheimer's Disease: A Literature Review.Brain sciences · 2023Review
- Clinical diagnostic utility of transcranial magnetic stimulation in neurological disorders. Updated report of an IFCN committee.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Review
- Classification accuracy of blood-based and neurophysiological markers in the differential diagnosis of Alzheimer's disease and frontotemporal lobar degeneration.Alzheimer's research & therapy · 2022Article
- Toward noninvasive brain stimulation 2.0 in Alzheimer's disease.Ageing research reviews · 2022Review
- Precise Modulation Strategies for Transcranial Magnetic Stimulation: Advances and Future Directions.Neuroscience bulletin · 2021Review
- Transcranial Magnetic Stimulation as a Diagnostic and Therapeutic Tool in Various Types of Dementia.Journal of clinical medicine · 2021Review
- Contribution of TMS and TMS-EEG to the Understanding of Mechanisms Underlying Physiological Brain Aging.Brain sciences · 2021Review
- TMS-EEG Biomarkers of Amnestic Mild Cognitive Impairment Due to Alzheimer's Disease: A Proof-of-Concept Six Years Prospective Study.Frontiers in aging neuroscience · 2021Article
- Experimental Disease-Modifying Agents for Frontotemporal Lobar Degeneration.Journal of experimental pharmacology · 2021Review
- Targeting neuroplasticity in patients with neurodegenerative diseases using brain stimulation techniques.Translational neurodegeneration · 2020Review
- On the Use of TMS to Investigate the Pathophysiology of Neurodegenerative Diseases.Frontiers in neurology · 2020Review
- Transcranial stimulation in frontotemporal dementia: A randomized, double-blind, sham-controlled trial.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- Cortical Inhibitory Imbalance in Functional Paralysis.Frontiers in human neuroscience · 2020Article
- Transcranial magnetic stimulation and amyloid markers in mild cognitive impairment: impact on diagnostic confidence and diagnostic accuracy.Alzheimer's research & therapy · 2019Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCholinergic dysfunction is a key abnormality in Alzheimer disease (AD) that can be detected in vivo with transcranial magnetic stimulation (TMS) protocols. Although TMS has clearly demonstrated analytical validity, its clinical utility is still debated. In the present study, we evaluated the incremental diagnostic value, expressed in terms of diagnostic confidence of Alzheimer disease (DCAD; range 0-100), of TMS measures in addition to the routine clinical diagnostic assessment in patients evaluated for cognitive impairment as compared with validated biomarkers of amyloidosis.
methodsOne hundred twenty patients with dementia were included and scored in terms of DCAD in a three-step assessment based on (1) demographic, clinical, and neuropsychological evaluations (clinical work-up); (2) clinical work-up plus amyloid markers (cerebrospinal fluid or amyloid positron emission tomographic imaging); and (3) clinical work-up plus TMS intracortical connectivity measures. Two blinded neurologists were asked to review the diagnosis and diagnostic confidence at each step.
resultsTMS measures increased the discrimination of DCAD in two clusters (AD-like vs FTD-like) when added to the clinical and neuropsychological evaluations with levels comparable to established biomarkers of brain amyloidosis (cluster distance of 55.1 for clinical work-up alone, 76.0 for clinical work-up plus amyloid markers, 80.0 for clinical work-up plus TMS). Classification accuracy for the "gold standard" diagnosis (dichotomous - AD vs FTD - variable) evaluated in the three-step assessment, expressed as AUC, increased from 0.82 (clinical work-up alone) to 0.98 (clinical work-up plus TMS) and to 0.99 (clinical work-up plus amyloidosis markers).
conclusionsTMS in addition to routine assessment in patients with dementia has a significant effect on diagnosis and diagnostic confidence that is comparable to well-established amyloidosis biomarkers.
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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.