LEANDRO DA COSTA LANE VALIENGO

(Fonte: Lattes)
Índice h a partir de 2011
26
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/27 - Laboratório de Neurociências, Hospital das Clínicas, Faculdade de Medicina

Resultados de Busca

Agora exibindo 1 - 3 de 3
  • article 0 Citação(ões) na Scopus
    Interventional psychiatry: 13 reasons why
    (2022) BRUNONI, Andre R.; VALIENGO, Leandro; GALLUCCI-NETO, Jose
  • article 21 Citação(ões) na Scopus
    Precision non-implantable neuromodulation therapies: a perspective for the depressed brain
    (2020) BORRIONE, Lucas; BELLINI, Helena; RAZZA, Lais Boralli; AVILA, Ana G.; BAEKEN, Chris; BREM, Anna-Katharine; BUSATTO, Geraldo; CARVALHO, Andre F.; CHEKROUD, Adam; DASKALAKIS, Zafiris J.; DENG, Zhi-De; DOWNAR, Jonathan; GATTAZ, Wagner; LOO, Colleen; LOTUFO, Paulo A.; MARTIN, Maria da Graca M.; MCCLINTOCK, Shawn M.; O'SHEA, Jacinta; PADBERG, Frank; PASSOS, Ives C.; SALUM, Giovanni A.; VANDERHASSELT, Marie-Anne; FRAGUAS, Renerio; BENSENOR, Isabela; VALIENGO, Leandro; BRUNONI, Andre R.
    Current first-line treatments for major depressive disorder (MDD) include pharmacotherapy and cognitive-behavioral therapy. However, one-third of depressed patients do not achieve remission after multiple medication trials, and psychotherapy can be costly and time-consuming. Although non-implantable neuromodulation (NIN) techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, electroconvulsive therapy, and magnetic seizure therapy are gaining momentum for treating MDD, the efficacy of non-convulsive techniques is still modest, whereas use of convulsive modalities is limited by their cognitive side effects. In this context, we propose that NIN techniques could benefit from a precision-oriented approach. In this review, we discuss the challenges and opportunities in implementing such a framework, focusing on enhancing NIN effects via a combination of individualized cognitive interventions, using closed-loop approaches, identifying multimodal biomarkers, using computer electric field modeling to guide targeting and quantify dosage, and using machine learning algorithms to integrate data collected at multiple biological levels and identify clinical responders. Though promising, this framework is currently limited, as previous studies have employed small samples and did not sufficiently explore pathophysiological mechanisms associated with NIN response and side effects. Moreover, cost-effectiveness analyses have not been performed. Nevertheless, further advancements in clinical trials of NIN could shift the field toward a more ""precision-oriented"" practice.
  • article 39 Citação(ões) na Scopus
    Early diagnosis and treatment of Alzheimer's disease: new definitions and challenges
    (2020) PAIS, Marcos; MARTINEZ, Luana; RIBEIRO, Octavio; LOUREIRO, Julia; FERNANDEZ, Romel; VALIENGO, Leandro; CANINEU, Paulo; STELLA, Florindo; TALIB, Leda; RADANOVIC, Marcia; FORLENZA, Orestes V.
    The prevalence of Alzheimer's disease (AD), a progressive neurodegenerative disorder, is expected to more than double by 2050. Studies on the pathophysiology of AD have been changing our understanding of this disorder and setting a new scenario for drug development and other therapies. Concepts like the ""amyloid cascade"" and the ""continuum of AD,"" discussed in this article, are now well established. From updated classifications and recommendations to advances in biomarkers of AD, we aim to critically assess the literature on AD, addressing new definitions and challenges that emerged from recent studies on the subject. Updates on the status of major clinical trials are also given, and future perspectives are discussed.