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[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 …
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 …
formidable treatment challenge across neuropsychiatric disorders. In major depressive …
Advances in the computational understanding of mental illness
Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …
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 …
inadequately treated by traditional antidepressants. The modern framework of anhedonia …
[HTML][HTML] Artificial intelligence for brain diseases: A systematic review
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 …
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
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 …
second most significant reason for infirmity in 2020, affecting about 50 million people …
Influences of dopaminergic system dysfunction on late-life depression
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 …
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 …
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
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 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
Clinical assessments often fail to discriminate between unipolar and bipolar depression and
identify individuals who will develop future (hypo) manic episodes. To address this …
identify individuals who will develop future (hypo) manic episodes. To address this …