Application of image-derived and venous input functions in major depression using [carbonyl-11C]WAY-100635

Mapping electroconvulsive therapy induced neuroplasticity: Towards a multilevel understanding of the available clinical literature - A scoping review

Since its introduction in 1938, the precise mechanism underlying the efficacy of electroconvulsive therapy (ECT) in treating severe psychiatric disorders remains elusive. This paper presents a comprehensive scoping review aimed to collate and summarize findings from clinical studies on neuroplastic changes induced by ECT. The review categorizes neuroplasticity into molecular, structural, and functional domains, offering a multilevel view of current research and its limitations. Molecular findings detail the varied responses of neurotrophic factors and neurotransmitters post-ECT, highlighting inconsistent evidence on their clinical relevance. Structural neuroplasticity is explored through changes in brain volume, cortical thickness, and white matter properties, presenting ECT as a potent stimulator of brain architecture alterations. Functional plasticity examines ECT's impact on brain function through diverse neuroimaging techniques, suggesting significant yet complex modifications in brain network connectivity and activity. The review emphasizes the multilevel nature of these neuroplasticity levels and their collective role in ECT's therapeutic outcomes. Methodological considerations-including sample size, patient heterogeneity, and variability in assessment timing-emerge as recurring themes in the literature, underscoring the need for more consistent and rigorous research designs. By outlining a cohesive framework of changes in neuroplasticity due to ECT, this review provides initial steps towards a deeper comprehension of ECT's mechanisms.

Molecular Positron Emission Tomography and Single-Photon Emission Computed Tomography Imaging for Understanding the Neurobiological Mechanisms of Electroconvulsive Therapy: A Scoping Review

ABSTRACT

Electroconvulsive therapy (ECT) effectively treats severe psychiatric disorders such as depression, mania, catatonia, and schizophrenia. Although its exact mechanism remains unclear, ECT is thought to induce neurochemical and neuroendocrine changes. Positron emission tomography (PET) and single-photon emission computed tomography (SPECT) have provided vital insights into ECT's neurobiological effects. This scoping review investigates the role of molecular imaging in understanding these effects. A systematic search across PubMed, EMBASE, Web of Science, Cochrane, and Scopus databases yielded 857 unique records, from which 45 peer-reviewed articles in English with longitudinal PET or SPECT measures in ECT patients were included. The review identifies 2 main research directions: ECT's impact on brain activity and neurotransmitters. Initial research assessed regional cerebral blood flow and regional glucose metabolism during ictal (during ECT), postictal (within 24 hours), short-term (within a week), and long-term (beyond a week) follow-up as markers of brain activity. Initial findings showed an anterior-posterior regional cerebral blood flow gradient during the ictal phase, with subsequent normalization of hypoperfusion in frontal and parietal regions, and persistent long-term effects. Later, research shifted to the monoamine hypothesis of depression, examining ECT's impact on serotonin and dopamine systems via PET imaging. Results on receptor availability post-ECT were mixed, showing both reductions and no significant changes, indicating variable effects. This scoping review further highlights the need to explore new targets, tailor methodologies for patient populations, and foster multicenter studies. Although SPECT has been valuable, advances in PET imaging now make it preferable, offering unparalleled insights into ECT's molecular and neurobiological mechanisms.

Comparison of cardiac image-derived input functions for quantitative whole body [18F]FDG imaging with arterial blood sampling

Introduction: Dynamic positron emission tomography (PET) and the application of kinetic models can provide important quantitative information based on its temporal information. This however requires arterial blood sampling, which can be challenging to acquire. Nowadays, state-of-the-art PET/CT systems offer fully automated, whole-body (WB) kinetic modelling protocols using image-derived input functions (IDIF) to replace arterial blood sampling. Here, we compared the validity of an automatic WB kinetic model protocol to the reference standard arterial input function (AIF) for both clinical and research settings. Methods: Sixteen healthy participants underwent dynamic WB [18F]FDG scans using a continuous bed motion PET/CT system with simultaneous arterial blood sampling. Multiple processing pipelines that included automatic and manually generated IDIFs derived from the aorta and left ventricle, with and without motion correction were compared to the AIF. Subsequently generated quantitative images of glucose metabolism were compared to evaluate performance of the different input functions. Results: We observed moderate to high correlations between IDIFs and the AIF regarding area under the curve (r = 0.49-0.89) as well as for the cerebral metabolic rate of glucose (CMRGlu) (r = 0.68-0.95). Manual placing of IDIFs and motion correction further improved their similarity to the AIF. Discussion: In general, the automatic vendor protocol is a feasible approach for the quantification of CMRGlu for both, clinical and research settings where expertise or time is not available. However, we advise on a rigorous inspection of the placement of the volume of interest, the resulting IDIF, and the quantitative values to ensure valid interpretations. In protocols requiring longer scan times or where cohorts are prone to involuntary movement, manual IDIF definition with additional motion correction is recommended, as this has greater accuracy and reliability.

Effects of bilateral sequential theta-burst stimulation on 5-HT1A receptors in the dorsolateral prefrontal cortex in treatment-resistant depression: a proof-of-concept trial

Theta-burst stimulation (TBS) represents a brain stimulation technique effective for treatment-resistant depression (TRD) as underlined by meta-analyses. While the methodology undergoes constant refinement, bilateral stimulation of the dorsolateral prefrontal cortex (DLPFC) appears promising to restore left DLPFC hypoactivity and right hyperactivity found in depression. The post-synaptic inhibitory serotonin-1A (5-HT1A) receptor, also occurring in the DLPFC, might be involved in this mechanism of action. To test this hypothesis, we performed PET-imaging using the tracer [carbonyl-11C]WAY-100635 including arterial blood sampling before and after a three-week treatment with TBS in 11 TRD patients compared to sham stimulation (n = 8 and n = 3, respectively). Treatment groups were randomly assigned, and TBS protocol consisted of excitatory intermittent TBS to the left and inhibitory continuous TBS to the right DLPFC. A linear mixed model including group, hemisphere, time, and Hamilton Rating Scale for Depression (HAMD) score revealed a 3-way interaction effect of group, time, and HAMD on specific distribution volume (VS) of 5-HT1A receptor. While post-hoc comparisons showed no significant changes of 5-HT1A receptor VS in either group, higher 5-HT1A receptor VS after treatment correlated with greater difference in HAMD (r = -0.62). The results of this proof-of-concept trial hint towards potential effects of TBS on the distribution of the 5-HT1A receptor. Due to the small sample size, all results must, however, be regarded with caution.

Toward noninvasive quantification of brain radioligand binding by combining electronic health records and dynamic PET imaging data

Quantitative analysis of positron emission tomography (PET) brain imaging data requires a metabolite-corrected arterial input function (AIF) for estimation of distribution volume and related outcome measures. Collecting arterial blood samples adds risk, cost, measurement error, and patient discomfort to PET studies. Minimally invasive AIF estimation is possible with simultaneous estimation (SIME), but at least one arterial blood sample is necessary. In this study, we describe a noninvasive SIME (nSIME) approach that utilizes a pharmacokinetic input function model and constraints derived from machine learning applied to an electronic health record database consisting of "long tail" data (digital records, paper charts, and handwritten notes) that were collected ancillary to the PET studies. We evaluated the performance of nSIME on 95 [(11)C]DASB PET scans that had measured AIFs. The results indicate that nSIME is a promising alternative to invasive AIF measurement. The general framework presented here may be expanded to other metabolized radioligands, potentially enabling quantitative analysis of PET studies without blood sampling. A glossary of technical abbreviations is provided at the end of this paper.