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Fortunato Battaglia

Researcher at Seton Hall University

Publications -  95
Citations -  11161

Fortunato Battaglia is an academic researcher from Seton Hall University. The author has contributed to research in topics: Transcranial magnetic stimulation & Motor cortex. The author has an hindex of 34, co-authored 88 publications receiving 10294 citations. Previous affiliations of Fortunato Battaglia include Columbia University & National Institutes of Health.

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Abnormal associative plasticity of the human motor cortex in writer's cramp.

TL;DR: In patients with writer's cramp, the motor system exhibited an abnormal increase in corticospinal excitability and an attenuated reinforcement of intracortical inhibitory circuits that generate the CSP in response to associative stimulation.
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Progressive age‐related development of Alzheimer‐like pathology in APP/PS1 mice

TL;DR: Interestingly, reduced LTP paralleled plaque appearance and increased Aβ levels and abnormal short‐term memory (working memory) and progression of LTP impairment correlated with the deterioration of working memory, suggesting that percentage of potentiation might be an indicator of the cognitive decline and disease progression in the APP/PS1 mice.
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Transcranial current stimulation focality using disc and ring electrode configurations: FEM analysis.

TL;DR: The concentric-ring design may provide an optimized configuration for targeted modulation of superficial cortical neuron soma hyper/depolarizing, at the expense of increased total surface current.
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Dissociation of the pathways mediating ipsilateral and contralateral motor-evoked potentials in human hand and arm muscles

TL;DR: The dissociation of the pathways for ipsilateral and contralateral MEPs indicates that corticofugal motor fibres other than the fast‐conducting crossed corticomotoneuronal system can be activated by TMS.
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Mechanisms influencing stimulus-response properties of the human corticospinal system

TL;DR: The results indicate that, out of different parameters of motor system excitability, S-R curves were the most sensitive.