Electroconvulsive therapy (ECT) remains the gold-standard treatment for severe, treatment-resistant patients with depressive episodes. During a typical 4-week ECT series, most depressive episodes remit, and formerly suicidal or psychotically depressed patients will resume their premorbid levels of functioning. ECT is one of psychiatry's most invasive treatments and remains limited to academic medical centers or larger, metropolitan hospitals. Despite ECT's 80-year history, the lack of understanding regarding the neurobiology and the mechanism of action of ECT response limit the development of safer, more accessible treatments. The overall aim of this investigation is to identify the biomarkers of ECT response. A case-control longitudinal design and resting state functional magnetic resonance imaging (fMRI) will simultaneously assess between (Aim 1) and within network changes (Aim 2) associated with ECT response. Our preliminary data supports our hypothesis that ECT response increases between network relationships amid frontal and default mode networks and reduces within network low frequency power (0.01 to 0.1 hertz (Hz)) in the subcallosal cingulate gyrus. The ECT series is associated with increased seizure threshold and reduced seizure duration. These anticonvulsant properties of ECT may be related to the reduction in spectral power within functional networks.
In Aim 3, proton spectroscopy (H-MRS) will measure changes in concentrations of gamma-aminobutyric acid (GABA), the main inhibitory neurotransmitter, associated with ECT response. The multi-modal aspect of this investigation will link changes in GABA concentrations with changes in the fMRI biomarkers of ECT response (Aims 1 and 2). Specifically, we hypothesize that increased GABA concentrations in the posterior cingulate will correlate with reduced low frequency spectral power (0.01 and 0.1 Hz) within limbic and para-limbic networks. This research will impact the field with a better understanding of the functional neural correlates of ECT response, which will help to optimize ECT treatment parameters (e.g., pulse width, stimulus delivery method, number of treatments) and extend to other therapeutic interventions for treatment-resistant depression.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
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The Mind Research Network
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Bernard, Jessica A; Leopold, Daniel R; Calhoun, Vince D et al. (2015) Regional cerebellar volume and cognitive function from adolescence to late middle age. Hum Brain Mapp 36:1102-20
Yen, Tony; Khafaja, Mohamad; Lam, Nicholas et al. (2015) Post-electroconvulsive therapy recovery and reorientation time with methohexital and ketamine: a randomized, longitudinal, crossover design trial. J ECT 31:20-5
Josef Golubic, Sanja; Aine, Cheryl J; Stephen, Julia M et al. (2014) Modulatory role of the prefrontal generator within the auditory M50 network. Neuroimage 92:120-31
Coffman, Brian A; Clark, Vincent P; Parasuraman, Raja (2014) Battery powered thought: enhancement of attention, learning, and memory in healthy adults using transcranial direct current stimulation. Neuroimage 85 Pt 3:895-908
Walton, Esther; Liu, Jingyu; Hass, Johanna et al. (2014) MB-COMT promoter DNA methylation is associated with working-memory processing in schizophrenia patients and healthy controls. Epigenetics 9:1101-7
Abbott, Christopher C; Gallegos, Patrick; Rediske, Nathan et al. (2014) A review of longitudinal electroconvulsive therapy: neuroimaging investigations. J Geriatr Psychiatry Neurol 27:33-46
Arbabshirani, Mohammad R; Damaraju, Eswar; Phlypo, Ronald et al. (2014) Impact of autocorrelation on functional connectivity. Neuroimage 102 Pt 2:294-308
Chen, Jiayu; Liu, Jingyu; Calhoun, Vince D et al. (2014) Exploration of scanning effects in multi-site structural MRI studies. J Neurosci Methods 230:37-50
Hjelm, R Devon; Calhoun, Vince D; Salakhutdinov, Ruslan et al. (2014) Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. Neuroimage 96:245-60
Ford, Judith M; Morris, Sarah E; Hoffman, Ralph E et al. (2014) Studying hallucinations within the NIMH RDoC framework. Schizophr Bull 40 Suppl 4:S295-304

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