Assessing anhedonia in depression: Potentials and pitfalls
SJ Rizvi, DA Pizzagalli, BA Sproule… - … & Biobehavioral Reviews, 2016 - Elsevier
The resurgence of interest in anhedonia within major depression has been fuelled by
clinical trials demonstrating its utility in predicting antidepressant response as well as recent …
clinical trials demonstrating its utility in predicting antidepressant response as well as recent …
Can brain state be manipulated to emphasize individual differences in functional connectivity?
While neuroimaging studies typically collapse data from many subjects, brain functional
organization varies between individuals, and characterizing this variability is crucial for …
organization varies between individuals, and characterizing this variability is crucial for …
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …
of human brains are collected using techniques such as functional magnetic resonance …
How to interpret resting-state fMRI: ask your participants
Resting-state fMRI (rsfMRI) reveals brain dynamics in a task-unconstrained environment as
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …
Common and dissociable dysfunction of the reward system in bipolar and unipolar depression
TD Satterthwaite, JW Kable, L Vandekar… - …, 2015 - nature.com
Unipolar and bipolar depressive episodes have a similar clinical presentation that suggests
common dysfunction of the brain's reward system. Here, we evaluated the relationship of …
common dysfunction of the brain's reward system. Here, we evaluated the relationship of …
Activity in dlPFC and its effective connectivity to vmPFC are associated with temporal discounting
There is widespread interest in identifying computational and neurobiological mechanisms
that influence the ability to choose long-term benefits over more proximal and readily …
that influence the ability to choose long-term benefits over more proximal and readily …
Predicting personality from network-based resting-state functional connectivity
AD Nostro, VI Müller, DP Varikuti, RN Pläschke… - Brain Structure and …, 2018 - Springer
Personality is associated with variation in all kinds of mental faculties, including affective,
social, executive, and memory functioning. The intrinsic dynamics of neural networks …
social, executive, and memory functioning. The intrinsic dynamics of neural networks …
Quantum reinforcement learning during human decision-making
Classical reinforcement learning (CRL) has been widely applied in neuroscience and
psychology; however, quantum reinforcement learning (QRL), which shows superior …
psychology; however, quantum reinforcement learning (QRL), which shows superior …
Cognitive control and dishonesty
Dishonesty is ubiquitous and imposes substantial financial and social burdens on society.
Intuitively, dishonesty results from a failure of willpower to control selfish behavior. However …
Intuitively, dishonesty results from a failure of willpower to control selfish behavior. However …
Consumer neuroscience: Past, present, and future
UR Karmarkar, H Plassmann - Organizational Research …, 2019 - journals.sagepub.com
In this article, we give an overview of the growing field of consumer neuroscience and
discuss when and how it is useful to integrate neurophysiological data into research …
discuss when and how it is useful to integrate neurophysiological data into research …