Browsing by Author "Fitzgerald, Paul B"
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- ItemConcurrent transcranial magnetic stimulation and electroencephalography measures are associated with antidepressant response from rTMS treatment for depression(Journal of Affective Disorders Reports, 2023-12) Bailey, Neil W; Hoy, Kate E; Sullivan, Caley M; Allman, Brienna; Rogasch, Nigel C; Daskalakis, Zafiris J; Fitzgerald, Paul BBackground Response rates to repetitive transcranial magnetic stimulation (rTMS) for depression are 25-45%. Participant features obtained prior to treatment that are associated with response to rTMS may be clinically useful. TMS-evoked neural activity recorded via electroencephalography (EEG) prior to treatment may be associated with treatment response. We examined whether these measures could differentiate responders and non-responders to rTMS for depression. Methods Thirty-nine patients with treatment-resistant major depressive disorder (MDD) and 21 healthy controls received TMS during EEG recordings (TMS-EEG). MDD participants then completed 5-8 weeks of rTMS treatment. Repeated measures ANOVAs compared N100 amplitude, N100 slope, and theta power across 3 groups (responders, non-responders and controls), 2 hemispheres (left, F3, and right, F4), and 2 stimulation types (single pulse and paired pulses with a 100ms inter-pulse interval [pp100]). Results Neither N100 amplitude nor theta power differed between responders and non-responders. Responders showed a steeper negative N100 slope for single pulses and steeper positive slope for pp100 pulses at F3 than non-responders. Exploratory analyses suggested this may have been due to the responder group showing larger P60 and N100 amplitudes. Limitations Our study had a small sample size. Conclusion Left hemisphere TEPs, in particular N100 slope, may be related to response rTMS treatment for depression. If our future research with larger sample sizes verifies this result, the finding may provide clinical utility in recommendations for rTMS treatment for depression.
- ItemNeurophysiological correlates of non-motor symptoms in late premanifest and early-stage manifest huntington's disease.(Clinical Neurophysiology, 2023-09) Davis, Marie-Claire; Hill, Aron T; Fitzgerald, Paul B; Bailey, Neil W; Stout, Julie C; Hoy, Kate ETo find sensitive neurophysiological correlates of non-motor symptoms in Huntington's disease (HD), which are essential for the development and assessment of novel treatments.
- ItemNo Consistent Antidepressant Effects of Deep Brain Stimulation of the Bed Nucleus of the Stria Terminalis.(Brain Sciences, 2024-05-14T14:00:00Z) Fitzgerald, Paul B; Hoy, Kate; Richardson, Karyn E; Gainsford, Kirsten; Segrave, Rebecca; Herring, Sally E; Daskalakis, Zafiris J; Bittar, Richard GApplying deep brain stimulation (DBS) to several brain regions has been investigated in attempts to treat highly treatment-resistant depression, with variable results. Our initial pilot data suggested that the bed nucleus of the stria terminalis (BNST) could be a promising therapeutic target.
- ItemThe Mindful Brain at Rest: Neural Oscillations and Aperiodic Activity in Experienced Meditators(bioRxiv, 2024-10-30) McQueen, Brittany; Mrphy, Oscar W; Fitzgerald, Paul B; Bailey, Neil WObjectives Previous research has demonstrated that mindfulness meditation is associated with a variety of benefits, including improved mental health. Researchers have suggested these benefits may be underpinned by differences in neural oscillations. However, previous studies measuring neural oscillations have not controlled for non-oscillatory neural activity, the power spectrum of which follows a 1/f distribution and contributes to power measurements within oscillation frequencies of interest. In this study, we applied recently developed methods to determine if past findings related to neural oscillations in meditation are present even after controlling for non-oscillatory 1/f activity. Methods 48 experienced meditators and 44 non-meditators provided resting electroencephalography (EEG) recordings. Whole scalp EEG comparisons (topographical ANOVAs) were used to test for differences between meditators and non-meditators in the distribution or global power of activity for theta, alpha, beta, and gamma oscillations, and for the 1/f components slope and intercept. Results Results indicated that meditators showed differences in theta, alpha, and gamma oscillatory power compared to non-meditators (all p < 0.05). Post-hoc testing suggested that the oscillatory differences were primarily driven by differences in the distribution of neural activity between meditators and non-meditators, rather than differences in the overall power across all scalp electrodes. Conclusion Our results suggest that experience with meditation is associated with higher oscillatory power and altered distributions of theta, alpha and gamma oscillations, even after controlling for non-oscillatory 1/f activity. Band-specific differences in oscillatory activity may be a mechanism through which meditation leads to neurophysiological benefits.