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Topic: mental disorders

Seminar
2 seminars
ePoster
1 ePoster

In Medicine and Neuroscience

Seminar · Brain Imaging

Neurosurgery for Mental Disorders: Challenging Mindsets; Combining Neuroimaging and Neurophysiology in Parkinson’s Disease

Ludvic Zrinzo, MD, PhD & Kara A. Johnson, PhD · National Hospital for Neurology and Neurosurgery / University of Florida

Wed, Oct 26, 2022 · 18:00 UTC

On Wednesday, October 26th, at noon ET / 6PM CET, we will host Kara Johnson, PhD, and Ludvic Zrinzo, MD PhD, for the inaugural session of our newly conceived talk series format entitled "Stimulating Brains". Kara A. Johnson, a postdoctoral fellow in Dr. Coralie de Hemptinne’s lab at the University of Florida, will present her work on “Combining imaging and neurophysiology in Parkinson’s disease”. Ludvic Zrinzo, Professor of functional neurosurgery and head of the University College London functional neurosurgery unit, will give us a glimpse at the “Person behind the science”, and give a talk o

Seminar · Psychiatry

Emerging Treatment Options in Psychiatry

Erik Wong · University of British Columbia

Mon, Feb 28, 2022 · 15:00 UTC

The World Health Organization (WHO) estimates that untreated mental disorders accountfor 13% of the total global burden of disease, and by 2030, depression alone will be the leadingcause of disability around the world – outpacing heart disease, cancer, and HIV. This grim pictureis further compounded by the mental health burden delivered by the coronavirus pandemic.The lack of novel treatment options in psychiatry is restricted by a limited understanding in theneuroscience basis of mental disorders, availability of relevant biomarkers, poor predictability inanimal models, and high failure rates

ePoster · Clinical Psychology

Defining the Limits: Upper Bound of Non-Neurobiological Treatment Efficacy through Cognitive-Neural Network Alignment

Bita Shariatpanahi, Hamidreza Jamalabadi · Bernstein Conference 2024

Recent meta-analyses indicate that non-neurobiological treatments for mental disorders, such as psychotherapy, demonstrate variable success rates ranging from 30% to 60% [Munder et al., 2019] . However, there is no consensus on the theoretical upper limit of these treatments [Cuijpers et al., 2024]. This study aims to estimate this upper bound by examining the alignment between network control properties of emotional and whole-brain fMRI responses to visual emotional stimuli. We hypothesize that the upper limit of non-neurobiological treatments (i.e., treatments that do not monitor brain resp