Prefrontal and Occipital Network Excitability Differences in Dementia with Lewy Bodies and Alzheimer's Disease
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Updated: May 22, 2026

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
Published on: October 13, 2016
Noa Bregman1,2,3, Noa Zifman4, Hilla Fogel4
1Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Abstract:
BackgroundThere is a great need in distinguishing Dementia with Lewy Body (DLB) from Alzheimer's disease (AD) and elucidating its pathophysiology. Transcranial magnetic stimulation (TMS) evoked potentials (TEPs) offer a non-invasive measure of neurophysiological alterations associated with underlying disease pathology.MethodsA total of 39 participants were included: 12 DLB, 10 AD, and 17 age-matched healthy controls (HC). TEPs were measured in the dorsolateral prefrontal cortex (DLPFC), primary motor cortex (M1), and primary visual cortex (V1).ResultsGlobal mean field potential (GMFP) TEP (130-250 ms) showed a significant interaction of group and stimulation site (p = .0101, ηp2 = 0.175) with a significant group effect (p = .0071, ηp2 = 0.234), attributed to higher GMFP in DLB compared to AD and HC in response to V1 stimulation (p = .001, p = .001, respectively). TEP amplitude corresponding to P60 displayed a significant group*stimulation site interaction (p = .0037, ηp2 = 0.202) arising from differences in DLPFC stimulation, between DLB compared to AD (p = .0013) and HC (p = .0032). DLPFC N45 presented a significant stimulation site effect not associated to a specific group in addition to DLPFC N45 amplitude being correlated to the UPDRS-III score (r = 0.9, p = .0002). A relative higher left over right DLPFC P30 amplitude was correlated with poorer MoCA scores in AD (r = -0.84, p = .002), as indicated by others before.ConclusionsDLPFC may be a target for both diagnosis and assessment of severity of motor symptoms in DLB and cognitive impairment in AD. These results propose a promising method to non-invasively distinguish DLB from AD and monitor disease, based on DLPFC and V1 network characteristics.
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