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1,735 results on '"Blumberger,Daniel M"'

3. Frontostriatal salience network expansion in individuals in depression

Author

Lynch, Charles J., Elbau, Immanuel G., Ng, Tommy, Ayaz, Aliza, Zhu, Shasha, Wolk, Danielle, Manfredi, Nicola, Johnson, Megan, Chang, Megan, Chou, Jolin, Summerville, Indira, Ho, Claire, Lueckel, Maximilian, Bukhari, Hussain, Buchanan, Derrick, Victoria, Lindsay W., Solomonov, Nili, Goldwaser, Eric, Moia, Stefano, Caballero-Gaudes, Cesar, Downar, Jonathan, Vila-Rodriguez, Fidel, Daskalakis, Zafiris J., Blumberger, Daniel M., Kay, Kendrick, Aloysi, Amy, Gordon, Evan M., Bhati, Mahendra T., Williams, Nolan, Power, Jonathan D., Zebley, Benjamin, Grosenick, Logan, Gunning, Faith M., and Liston, Conor

Published
2024
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4. Cognitive function based on theta-gamma coupling vs. clinical diagnosis in older adults with mild cognitive impairment with or without major depressive disorder

Author

Brooks, Heather, Wang, Wei, Zomorrodi, Reza, Blumberger, Daniel M., Bowie, Christopher R., Daskalakis, Zafiris J., Fischer, Corinne E., Flint, Alastair J., Herrmann, Nathan, Kumar, Sanjeev, Lanctôt, Krista L., Mah, Linda, Mulsant, Benoit H., Pollock, Bruce G., Voineskos, Aristotle N., and Rajji, Tarek K.

Published
2024
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6. Effects of repetitive transcranial magnetic stimulation on individual variability of resting-state functional connectivity in major depressive disorder

Author

Tan, Vinh, Downar, Jonathan, Nestor, Sean, Vila-Rodriguez, Fidel, Daskalakis, Zafiris J., Blumberger, Daniel M., and Hawco, Colin

Subjects
Diagnosis, Care and treatment, Evaluation, Analysis, Brain -- Analysis, Magnetic brain stimulation -- Evaluation, Major depressive disorder -- Diagnosis -- Care and treatment
Abstract

Introduction Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex (DLPFC) is an effective treatment for major depressive disorder (MDD). (1,2) It can alter connectivity of networks, including the [...], Background: Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for major depressive disorder (MDD), but substantial heterogeneity in outcomes remains. We examined a potential mechanism of action of rTMS to normalize individual variability in resting-state functional connectivity (rs-fc) before and after a course of treatment. Methods: Variability in rs-fc was examined in healthy controls (baseline) and individuals with MDD (baseline and after 4-6 weeks of rTMS). Seed-based connectivity was calculated to 4 regions associated with MDD: left dorsolateral prefrontal cortex (DLPFC), right subgenual anterior cingulate cortex (sgACC), bilateral insula, and bilateral precuneus. Individual variability was quantified for each region by calculating the mean correlational distance of connectivity maps relative to the healthy controls; a higher variability score indicated a more atypical/idiosyncratic connectivity pattern. Results: We included data from 66 healthy controls and 252 individuals with MDD in our analyses. Patients with MDD did not show significant differences in baseline variability of rs-fc compared with controls. Treatment with rTMS increased rs-fc variability from the right sgACC and precuneus, but the increased variability was not associated with clinical outcomes. Interestingly, higher baseline variability of the right sgACC was significantly associated with less clinical improvement (p = 0.037, uncorrected; did not survive false discovery rate correction). Limitations: The linear model was constructed separately for each region of interest. Conclusion: This was, to our knowledge, the first study to examine individual variability of rs-fc related to rTMS in individuals with MDD. In contrast to our hypotheses, we found that rTMS increased the individual variability of rs-fc. Our results suggest that individual variability of the right sgACC and bilateral precuneus connectivity may be a potential mechanism of rTMS.

Published
2024
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7. Neurophysiological and other features of working memory in older adults at risk for dementia

Author

Patterson, Rachel A., Brooks, Heather, Mirjalili, Mina, Rashidi-Ranjbar, Neda, Zomorrodi, Reza, Blumberger, Daniel M., Fischer, Corinne E., Flint, Alastair J., Graff-Guerrero, Ariel, Herrmann, Nathan, Kennedy, James L., Kumar, Sanjeev, Lanctôt, Krista L., Mah, Linda, Mulsant, Benoit H., Pollock, Bruce G., Voineskos, Aristotle N., Wang, Wei, and Rajji, Tarek K.

Published
2024
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8. Consensus review and considerations on TMS to treat depression: A comprehensive update endorsed by the National Network of Depression Centers, the Clinical TMS Society, and the International Federation of Clinical Neurophysiology

Author

Trapp, Nicholas T., Purgianto, Anthony, Taylor, Joseph J., Singh, Manpreet K., Oberman, Lindsay M., Mickey, Brian J., Youssef, Nagy A., Solzbacher, Daniela, Zebley, Benjamin, Cabrera, Laura Y., Conroy, Susan, Cristancho, Mario, Richards, Jackson R., Flood, Michael J., Barbour, Tracy, Blumberger, Daniel M., Taylor, Stephan F., Feifel, David, Reti, Irving M., McClintock, Shawn M., Lisanby, Sarah H., and Husain, Mustafa M.

Published
2025
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9. Effectiveness of sequential bilateral repetitive transcranial stimulation versus bilateral theta burst stimulation for patients with treatment-resistant depression (BEAT-D): A randomized non-inferiority clinical trial

Author

Wada, Masataka, Nakajima, Shinichiro, Taniguchi, Keita, Honda, Shiori, Mimura, Yu, Takemura, Ryo, Thorpe, Kevin E., Tsugawa, Sakiko, Tarumi, Ryosuke, Moriyama, Sotaro, Arai, Naohiro, Kitahata, Ryosuke, Uchida, Hiroyuki, Koike, Shinsuke, Daskalakis, Zafiris J., Mimura, Masaru, Blumberger, Daniel M., and Noda, Yoshihiro

Published
2025
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13. Isolating sensory artifacts in the suprathreshold TMS-EEG signal over DLPFC

Author

Poorganji, Mohsen, Zomorrodi, Reza, Hawco, Colin, Hill, Aron T, Hadas, Itay, Zrenner, Christoph, Rajji, Tarek K, Chen, Robert, Voineskos, Daphne, Blumberger, Daniel M, and Daskalakis, Zafiris J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Physical Sciences, Neurosciences, Clinical Research, Brain Disorders, Humans, Dorsolateral Prefrontal Cortex, Artifacts, Electroencephalography, Evoked Potentials, Transcranial Magnetic Stimulation, Evoked Potentials, Motor
Abstract

Combined transcranial magnetic stimulation and electroencephalography (TMS-EEG) is an effective way to evaluate neurophysiological processes at the level of the cortex. To further characterize the TMS-evoked potential (TEP) generated with TMS-EEG, beyond the motor cortex, we aimed to distinguish between cortical reactivity to TMS versus non-specific somatosensory and auditory co-activations using both single-pulse and paired-pulse protocols at suprathreshold stimulation intensities over the left dorsolateral prefrontal cortex (DLPFC). Fifteen right-handed healthy participants received six blocks of stimulation including single and paired TMS delivered as active-masked (i.e., TMS-EEG with auditory masking and foam spacing), active-unmasked (TMS-EEG without auditory masking and foam spacing) and sham (sham TMS coil). We evaluated cortical excitability following single-pulse TMS, and cortical inhibition following a paired-pulse paradigm (long-interval cortical inhibition (LICI)). Repeated measure ANOVAs revealed significant differences in mean cortical evoked activity (CEA) of active-masked, active-unmasked, and sham conditions for both the single-pulse (F(1.76, 24.63) = 21.88, p

Published
2023

14. Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG

Author

Poorganji, Mohsen, Zomorrodi, Reza, Zrenner, Christoph, Bansal, Aiyush, Hawco, Colin, Hill, Aron T, Hadas, Itay, Rajji, Tarek K, Chen, Robert, Zrenner, Brigitte, Voineskos, Daphne, Blumberger, Daniel M, and Daskalakis, Zafiris J

Subjects
Analytical Chemistry, Biochemistry and Cell Biology, Chemical Sciences, Biological Sciences, Neurosciences, Brain Disorders, Clinical Research, Neurological, Humans, Brain, Cortical Excitability, Electroencephalography, Transcranial Magnetic Stimulation, TMS-EEG, cortical oscillations, brain state, phase before TMS, EEG power before TMS, Biochemistry and cell biology, Analytical chemistry
Abstract

The cortical response to transcranial magnetic stimulation (TMS) has notable inter-trial variability. One source of this variability can be the influence of the phase and power of pre-stimulus neuronal oscillations on single-trial TMS responses. Here, we investigate the effect of brain oscillatory activity on TMS response in 49 distinct healthy participants (64 datasets) who had received single-pulse TMS over the left dorsolateral prefrontal cortex. Across all frequency bands of theta (4-7 Hz), alpha (8-13 Hz), and beta (14-30 Hz), there was no significant effect of pre-TMS phase on single-trial cortical evoked activity. After high-powered oscillations, whether followed by a TMS pulse or not, the subsequent activity was larger than after low-powered oscillations. We further defined a measure, corrected_effect, to enable us to investigate brain responses to the TMS pulse disentangled from the power of ongoing (spontaneous) oscillations. The corrected_effect was significantly different from zero (meaningful added effect of TMS) only in theta and beta bands. Our results suggest that brain state prior to stimulation might play some role in shaping the subsequent TMS-EEG response. Specifically, our findings indicate that the power of ongoing oscillatory activity, but not phase, can influence brain responses to TMS. Aligning the TMS pulse with specific power thresholds of an EEG signal might therefore reduce variability in neurophysiological measurements and also has the potential to facilitate more robust therapeutic effects of stimulation.

Published
2023

18. Repetitive transcranial magnetic stimulation for smoking cessation

Author

Ibrahim, Christine, Tang, Victor M., Blumberger, Daniel M., and Le Foll, Bernard

Subjects
Methods, Magnetic brain stimulation -- Methods, Substance abuse treatment -- Methods, Smoking cessation -- Methods, Smoking cessation programs -- Methods, Substance abuse -- Care and treatment
Abstract

In Canada, 10.3% of the population smokes tobacco. (1) Each year, 8 million deaths worldwide are attributed to smoking. (2) Currently, 3 pharmacotherapies are approved for smoking cessation in Canada: [...]

Published
2024
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19. Relationship between Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS) total scores in older adults with major depressive disorder: An analysis of the OPTIMUM clinical trial

Author

Kim, Helena K., Lenze, Eric J., Ainsworth, Nicholas J., Blumberger, Daniel M., Brown, Patrick J., Flint, Alastair J., Karp, Jordan F., Lavretsky, Helen, Lenard, Emily, Miller, J. Philip, Reynolds, Charles F., 3rd, Roose, Steven P., and Mulsant, Benoit H.

Published
2024
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26. Confirmatory Efficacy and Safety Trial of Magnetic Seizure Therapy for Depression (CREST-MST): protocol for identification of novel biomarkers via neurophysiology

Author

Daskalakis, Zafiris J, McClintock, Shawn M, Hadas, Itay, Kallioniemi, Elisa, Zomorrodi, Reza, Throop, Alanah, Palmer, Lucy, Farzan, Faranak, Thorpe, Kevin E, Tamminga, Carol, and Blumberger, Daniel M

Subjects
Clinical Trials and Supportive Activities, Depression, Neurodegenerative, Neurosciences, Clinical Research, Serious Mental Illness, Mental Health, Behavioral and Social Science, Suicide, Brain Disorders, Epilepsy, Major Depressive Disorder, 6.6 Psychological and behavioural, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Mental health, Biomarkers, Depressive Disorder, Treatment-Resistant, Humans, Neurophysiology, Randomized Controlled Trials as Topic, Seizures, Treatment-resistant depression, Magnetic seizure therapy, Electroconvulsive therapy, Transcranial magnetic stimulation, Electroencephalography, Cortical inhibition, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology, General & Internal Medicine
Abstract

BackgroundElectroconvulsive therapy (ECT) is the most effective treatment for treatment-resistant depression (TRD), especially for acute suicidal ideation, but the associated cognitive adverse effects and negative stigma limit its use. Another seizure therapy under development is magnetic seizure therapy (MST), which could potentially overcome the restrictions associated with ECT with similar efficacy. The neurophysiological targets and mechanisms of seizure therapy, however, remain poorly understood.Methods/designThis neurophysiological study protocol is published as a companion to the overall Confirmatory Efficacy and Safety Trial of Magnetic Seizure Therapy for Depression (CREST-MST) protocol that describes our two-site, double-blind, randomized, non-inferiority clinical trial to develop MST as an effective and safe treatment for TRD. Our aim for the neurophysiological component of the study is to evaluate two biomarkers, one to predict remission of suicidal ideation (primary outcome) and the other to predict cognitive impairment (secondary outcome). Suicidal ideation will be assessed through cortical inhibition, which according to our preliminary studies, correlates with remission of suicidal ideation. Cortical inhibition will be measured with simultaneous transcranial magnetic stimulation (TMS) and electroencephalography (EEG), TMS-EEG, which measures TMS-evoked EEG activity. Cognitive adverse effects associated with seizure therapy, on the contrary, will be evaluated via multiscale entropy analysis reflecting the complexity of ongoing resting-state EEG activity.DiscussionECT and MST are known to influence cortical inhibition associated with depression, suicidal ideation severity, and clinical outcome. Therefore, evaluating cortical inhibition and brain temporal dynamics will help understand the pathophysiology of depression and suicidal ideation and define new biological targets that could aid clinicians in diagnosing and selecting treatments. Resting-state EEG complexity was previously associated with the degree of cognitive side effects after a seizure therapy. This neurophysiological metric may help clinicians assess the risk for adverse effects caused by these useful and effective treatments.Trial registrationClinicalTrials.gov NCT03191058 . Registered on June 19, 2017.

Published
2021

27. Predictors of change in suicidal ideation across treatment phases of major depressive disorder: analysis of the STAR*D data

Author

Weissman, Cory R, Hadas, Itay, Yu, Dengdeng, Jones, Brett, Kong, Dehan, Mulsant, Benoit H, Blumberger, Daniel M, and Daskalakis, Zafiris J

Subjects
Prevention, Major Depressive Disorder, Suicide Prevention, Depression, Serious Mental Illness, Behavioral and Social Science, Suicide, Brain Disorders, Mental Health, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Mental health, Good Health and Well Being, Antidepressive Agents, Bupropion, Depressive Disorder, Major, Depressive Disorder, Treatment-Resistant, Humans, Suicidal Ideation, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

The effects of common antidepressants on suicidal ideation (SI) is unclear. In the landmark STAR*D trial antidepressants were effective for Major Depressive Disorder (MDD) in early treatment phases, but less effective in later phases. The effects of antidepressants on SI across the entire sample of the STAR*D trial has never been investigated. We performed a secondary analysis of the STAR*D data with the primary outcome of change in score on the suicide item (item three) of the Hamilton Rating Scale for Depression (HRSD17) across all four study levels. We used descriptive statistics and logistic regression analyses. Pearson correlation was used for change in SI versus change in depression (HRSD16). Reduction in mean (SD) SI was greater in levels one: 0.29 (±0.78) (p

Published
2021

28. Brain-Cognition Associations in Older Patients With Remitted Major Depressive Disorder or Mild Cognitive Impairment: A Multivariate Analysis of Gray and White Matter Integrity

Author

Mulsant, Benoit H., Rajji, Tarek K., Herrmann, Nathan, Pollock, Bruce G., Lourenco, Lillian, Blumberger, Daniel M., Bowie, Christopher R., Butters, Meryl A., Fischer, Corinne, Flint, Alastair, Gallagher, Damien, Golas, Angela, Graff, Ariel, Kennedy, James L., Lanctôt, Krista, Kumar, Sanjeev, Mah, Linda, Ovaysikia, Shima, Rapoport, Mark, Thorpe, Kevin E., Verhoeff, Nicolaas P.L.G., Voineskos, Aristotle N., Marawi, Tulip, Zhukovsky, Peter, Rashidi-Ranjbar, Neda, Brooks, Heather, Fischer, Corinne E., Flint, Alastair J., and Tartaglia, Maria Carmela

Published
2023
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50. Modulation of functional network properties in major depressive disorder following electroconvulsive therapy (ECT): a resting-state EEG analysis

Author

Hill, Aron T, Hadas, Itay, Zomorrodi, Reza, Voineskos, Daphne, Farzan, Faranak, Fitzgerald, Paul B, Blumberger, Daniel M, and Daskalakis, Zafiris J

Subjects
Depression, Brain Disorders, Serious Mental Illness, Mental Health, Major Depressive Disorder, Neurosciences, Adult, Brain, Cohort Studies, Connectome, Depressive Disorder, Major, Electroconvulsive Therapy, Electroencephalography, Female, Humans, Male, Middle Aged, Nerve Net, Rest, Treatment Outcome
Abstract

Electroconvulsive therapy (ECT) is a highly effective neuromodulatory intervention for treatment-resistant major depressive disorder (MDD). Presently, however, understanding of its neurophysiological effects remains incomplete. In the present study, we utilised resting-state electroencephalography (RS-EEG) to explore changes in functional connectivity, network topology, and spectral power elicited by an acute open-label course of ECT in a cohort of 23 patients with treatment-resistant MDD. RS-EEG was recorded prior to commencement of ECT and again within 48 h following each patient's final treatment session. Our results show that ECT was able to enhance connectivity within lower (delta and theta) frequency bands across subnetworks largely confined to fronto-central channels, while, conversely, more widespread subnetworks of reduced connectivity emerged within faster (alpha and beta) bands following treatment. Graph-based topological analyses revealed changes in measures of functional segregation (clustering coefficient), integration (characteristic path length), and small-world architecture following ECT. Finally, post-treatment enhancement of delta and theta spectral power was observed, which showed a positive association with the number of ECT sessions received. Overall, our findings indicate that RS-EEG can provide a sensitive measure of dynamic neural activity following ECT and highlight network-based analyses as a promising avenue for furthering mechanistic understanding of the effects of convulsive therapies.

Published
2020

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