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TMS-EEG Reveals Distinct Cortical Signatures in Non-Fluent PPA.

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    This summary is machine-generated.

    This study reveals Transcranial Magnetic Stimulation combined with Electroencephalography (TMS-EEG) can identify unique neurophysiological markers for non-fluent Primary Progressive Aphasias (nfvPPA). These findings may aid in diagnosing nfvPPA and tailoring future treatments.

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    Area of Science:

    • Neuroscience
    • Neurology
    • Speech and Language Sciences

    Background:

    • Primary Progressive Aphasias (PPA) are neurodegenerative disorders causing language decline, with subtypes like non-fluent (nfvPPA) and logopenic (lvPPA) PPA being difficult to differentiate clinically.
    • Understanding the pathophysiology of nfvPPA is crucial for diagnosis and treatment, but direct measures of cortical speech network reactivity have been limited.
    • Transcranial Magnetic Stimulation combined with Electroencephalography (TMS-EEG) offers a non-invasive method to assess brain network function.

    Purpose of the Study:

    • To investigate the utility of TMS-EEG in characterizing the neurophysiological differences in brain speech networks among nfvPPA patients, lvPPA patients, and healthy controls.
    • To explore potential TMS-EEG biomarkers for differentiating nfvPPA and monitoring disease progression.
    • To examine the impact of stimulating different brain hemispheres on TMS-EEG measures in PPA variants.

    Main Methods:

    • Twenty PPA patients (7 nfvPPA, 13 lvPPA) and 8 elderly controls underwent TMS-EEG targeting the left dorsal premotor cortex (Brodmann area 6).
    • A subset of 9 patients were also stimulated in the right homologous region.
    • Measures included natural frequency and normalized evoked spectral power (alpha, low-beta, high-beta, gamma) of the TMS-evoked response.

    Main Results:

    • Non-fluent PPA patients exhibited a slower, simplified TMS-evoked response compared to controls, characterized by reduced high-beta power, lower natural frequency, and increased alpha activity.
    • No significant differences were found between lvPPA and controls, or between nfvPPA and lvPPA.
    • Speech rate positively correlated with high-beta power and natural frequency. Right hemisphere stimulation yielded higher natural frequency and high-beta power in PPA patients compared to left-sided stimulation.

    Conclusions:

    • TMS-EEG can provide valuable neurophysiological biomarkers for characterizing the nfvPPA variant and potentially monitoring disease progression across PPA subtypes.
    • These findings suggest TMS-EEG could be used to stratify PPA patients.
    • Future applications may include developing variant-specific stimulation protocols based on individual neurophysiological profiles.