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Abstract #0840

Accelerated neuromodulation in treatment-resistant depression: preclinic model characterization and treatment evaluation by multimodal MRI

Valentina Zecca1,2, Marta Boffa3,4, Sara Spalletti3, Carola Cerri3, Martina Bertone3, Taljinder Singh1,2, Gianmauro Palombelli1, Mauro Pettorruso4,5,6, Francesca Zoratto3, and Rossella Canese1
1MRI Unit, Core Facilities, Istituto Superiore di Sanità, Rome, Italy, 2Department of Basic and Applied Sciences for Engineering, University of Rome Sapienza, Rome, Italy, 3Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy, 4Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy, 5Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy, 6Department of Mental Health, ASL 2 Abruzzo Lanciano-Vasto-­Chieti, Chieti, Italy

Synopsis

Keywords: Preclinical Image Analysis, Neuroscience, neuromodulation, quantitative MRS, depression

Motivation: There is a need to improve treatment options for treatment-resistant depression (TRD).

Goal(s): We compared a validated TRD rat model (i.e. Wistar-Kyoto rats, an endogenous MDD model, to which a chronic mild stress protocol was applied) with non-depressed Wistar rats, and we explored the effects of accelerated repetitive transcranial magnetic stimulation (arTMS) in the TRD model, by comparing active vs. sham intervention.

Approach: We use a translational approach including behavioral and multimodal MRI analyses.

Results: Brain metabolism and structure alterations (in shape, volume and connections) were detected in the TRD model, which were partially normalized following arTMS intervention, thus demonstrating its efficacy.

Impact: Our results show that increasing daily stimulation frequency allows to shorten treatment duration without compromising rTMS efficacy. The application of accelerated neuromodulation in clinical settings would improve patient compliance and cost-effectiveness.

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Keywords