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"Depression: perspectives from affective neuroscience" - new citations

Sample results58 results in the last year.

The human affectome

D Schiller, NC Alessandra, N Alia-Klein, S Becker… - … & Biobehavioral Reviews, 2024
Over the last decades, theoretical perspectives in the interdisciplinary field of the
affective sciences have proliferated rather than converged due to differing
assumptions about what human affective phenomena are and how they work. These …

Cognitive rehabilitation for improving cognitive functions and reducing the severity of depressive symptoms in adult patients with Major Depressive Disorder: a …

S Mokhtari, A Mokhtari, F Bakizadeh, A Moradi… - BMC psychiatry, 2023
Introduction Nearly 40% of patients with Major Depressive Disorder (MDD) have
been found to experience cognitive impairment in at least one domain. Cognitive
impairment associated with MDD is disproportionately represented in patients that …

Agomelatine: a potential multitarget compound for neurodevelopmental disorders

R Savino, AN Polito, G Marsala, A Ventriglio… - Brain Sciences, 2023
Agomelatine (AGM) is one of the latest atypical antidepressants, prescribed
exclusively for the treatment of depression in adults. AGM belongs to the
pharmaceutical class of melatonin agonist and selective serotonin antagonist …

Functional connectivity mapping for rTMS target selection in depression

IG Elbau, CJ Lynch, J Downar, F Vila-Rodriguez… - American Journal of …, 2023
Objective: Repetitive transcranial magnetic stimulation (rTMS) protocols increasingly
use subgenual anterior cingulate cortex (sgACC) functional connectivity to
individualize treatment targets. However, the efficacy of this approach is unclear, with …

Hippocampus links perceived social support with self-esteem

H Lu, X Li, Y Wang, Y Song, J Liu - Social Neuroscience, 2023
Self-esteem is an important psychological resource with adaptive values, and
numerous investigations have revealed that self-esteem is influenced by perceived
social support. However, the potential neural basis linking perceived social support …

Novel mechanism-based treatments for pediatric anxiety and depressive disorders

CM Sylvester, JL Luby, DS Pine - Neuropsychopharmacology, 2024
Pediatric anxiety and depressive disorders are common, can be highly impairing,
and can persist despite the best available treatments. Here, we review research into
novel treatments for childhood anxiety and depressive disorders designed to target …

Cortical glutamate, Glx, and total N-acetylaspartate: potential biomarkers of repetitive transcranial magnetic stimulation treatment response and outcomes in major …

MA Gonsalves, TL White, J Barredo, MM DeMayo… - Translational Psychiatry, 2024
Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for
individuals with major depressive disorder (MDD) who have not improved with
standard therapies. However, only 30–45% of patients respond to rTMS. Predicting …

An automated platform for Assessing Working Memory and prefrontal circuit function

J Witztum, A Singh, R Zhang, M Johnson, C Liston - Neurobiology of Stress, 2023
Working memory is a process for actively maintaining and updating task-relevant
information, despite interference from competing inputs, and is supported in part by
sustained activity in prefrontal cortical pyramidal neurons and coordinated …

Individual large-scale functional network mapping for major depressive disorder with electroconvulsive therapy

H Sun, H Cui, Q Sun, Y Li, T Bai, K Wang, J Zhang… - Journal of Affective …, 2024
Personalized functional connectivity mapping has been demonstrated to be
promising in identifying underlying neurophysiological basis for brain disorders and
treatment effects. Electroconvulsive therapy (ECT) has been proved to be an effective …

Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

T Dang, D Spathis, A Ghosh, C Mascolo - Royal Society Open Science, 2023
Advances in wearable sensing and mobile computing have enabled the collection of
health and well-being data outside of traditional laboratory and hospital settings,
paving the way for a new era of mobile health. Meanwhile, artificial intelligence (AI) …

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