[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review

R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Toward a better understanding of the mechanisms and pathophysiology of anhedonia: are we ready for translation?

DA Pizzagalli - American Journal of Psychiatry, 2022 - psychiatryonline.org
Anhedonia—the loss of pleasure or lack of reactivity to pleasurable stimuli—remains a
formidable treatment challenge across neuropsychiatric disorders. In major depressive …

Advances in the computational understanding of mental illness

QJM Huys, M Browning, MP Paulus… - …, 2021 - nature.com
Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …

Anhedonia as a central factor in depression: Neural mechanisms revealed from preclinical to clinical evidence

S Wang, F Leri, SJ Rizvi - Progress in Neuro-Psychopharmacology and …, 2021 - Elsevier
Anhedonia is one of the core symptoms of major depressive disorder (MDD), which is often
inadequately treated by traditional antidepressants. The modern framework of anhedonia …

[HTML][HTML] Artificial intelligence for brain diseases: A systematic review

A Segato, A Marzullo, F Calimeri, E De Momi - APL bioengineering, 2020 - pubs.aip.org
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

MBB Heyat, F Akhtar, F Munir, A Sultana… - Complex & Intelligent …, 2024 - Springer
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …

Influences of dopaminergic system dysfunction on late-life depression

WD Taylor, DH Zald, JC Felger, S Christman… - Molecular …, 2022 - nature.com
Deficits in cognition, reward processing, and motor function are clinical features relevant to
both aging and depression. Individuals with late-life depression often show impairment …

Neurofunctional map** of reward anticipation and outcome for major depressive disorder: a voxel-based meta-analysis

X Yang, Y Su, F Yang, Y Song, J Yan, Y Luo… - Psychological …, 2022 - cambridge.org
Aberrations in how people form expectations about rewards and how they respond to
receiving rewards are thought to underlie major depressive disorder (MDD). However, the …

[HTML][HTML] A systematic review of the neural correlates of well-being reveals no consistent associations

LP de Vries, MP van de Weijer, M Bartels - Neuroscience & Biobehavioral …, 2023 - Elsevier
Findings from behavioral and genetic studies indicate a potential role for the involvement of
brain structures and brain functioning in well-being. We performed a systematic review on …

Brain-based graph-theoretical predictive modeling to map the trajectory of anhedonia, impulsivity, and hypomania from the human functional connectome

R Dan, AE Whitton, MT Treadway… - …, 2024 - nature.com
Clinical assessments often fail to discriminate between unipolar and bipolar depression and
identify individuals who will develop future (hypo) manic episodes. To address this …