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Florinda Ferreri

Researcher at University of Padua

Publications -  105
Citations -  7290

Florinda Ferreri is an academic researcher from University of Padua. The author has contributed to research in topics: Transcranial magnetic stimulation & Electroencephalography. The author has an hindex of 36, co-authored 79 publications receiving 5968 citations. Previous affiliations of Florinda Ferreri include University of Messina & University of Eastern Finland.

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Transcranial Magnetic Stimulation

TL;DR: Transcranial magnetic stimulation is a 20-year-old technique originally introduced to noninvasively investigate nervous propagation along the corticospinal tract, spinal roots, and peripheral nerves in humans and is extensively used in clinical neurophysiology, including rehabilitation and intraoperative monitoring.
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Free copper and resting temporal EEG rhythms correlate across healthy, mild cognitive impairment, and Alzheimer's disease subjects.

TL;DR: It is shown for the first demonstration that the fraction of serum copper unbound to ceruloplasmin is correlated with cortical delta rhythms across Hold, MCI, and AD subjects, thus unveiling possible relationships among the biological parameter, advanced neurodegenerative processes, and synchronization mechanisms regulating the relative amplitude of selective EEG rhythms.
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Motor cortex excitability in Alzheimer's disease: a transcranial magnetic stimulation follow-up study

TL;DR: Transranial magnetic stimulation, along with clinical, neuropsychological, and neuroimaging data, could be an inexpensive measure of biological progression in AD and it might supplement traditional methods to assess the effects of therapy.
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Use of an Italian version of the telephone interview for cognitive status in Alzheimer's disease.

TL;DR: Validation of an Italian version of the Telephone Interview for Cognitive Status (I‐TICS) and its application to clinical practice is validated.
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Transcranial Magnetic Stimulation Studies in Alzheimer's Disease

TL;DR: A perspective of the TMS techniques used to study neurophysiological aspects of AD is provided showing also that, based on different patterns of cortical excitability, TMS may be useful in discriminating between physiological and pathological brain aging at least at the group level.