Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression
S Prompiengchai, K Dunlop - Neuropsychopharmacology, 2024 - nature.com
Abstract Treatment outcomes widely vary for individuals diagnosed with major depressive
disorder, implicating a need for deeper understanding of the biological mechanisms …
disorder, implicating a need for deeper understanding of the biological mechanisms …
The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration
Recent advances in open neuroimaging data are enhancing our comprehension of
neuropsychiatric disorders. By pooling images from various cohorts, statistical power has …
neuropsychiatric disorders. By pooling images from various cohorts, statistical power has …
Common and distinct functional brain network abnormalities in adolescent, early-middle adult, and late adult major depressive disorders
BackgroundThe age-related heterogeneity in major depressive disorder (MDD) has
received significant attention. However, the neural mechanisms underlying such …
received significant attention. However, the neural mechanisms underlying such …
Psychometric properties of Concise Associated Symptom Tracking (CAST) scale in youths and young adults: Findings from the Texas youth depression and suicide …
Symptoms of irritability, anxiety, panic, and insomnia are common in patients with
depression, and their worsening after antidepressant treatment initiation is associated with …
depression, and their worsening after antidepressant treatment initiation is associated with …
Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled …
Introduction One major challenge in developing personalised repetitive transcranial
magnetic stimulation (rTMS) is that the treatment responses exhibited high inter-individual …
magnetic stimulation (rTMS) is that the treatment responses exhibited high inter-individual …
Integrative molecular and structural neuroimaging analyses of the interaction between depression and age of onset: A multimodal magnetic resonance imaging study
H Yang, Y Chen, Q Tao, W Shi, Y Tian, Y Wei… - Progress in Neuro …, 2024 - Elsevier
Depression is a neurodevelopmental disorder that exhibits progressive gray matter volume
(GMV) atrophy. Research indicates that brain development is influential in depression …
(GMV) atrophy. Research indicates that brain development is influential in depression …
Sex-difference in the association between social drinking, structural brain aging and cognitive function in older individuals free of cognitive impairment
OA Abulseoud, EC Caparelli, J Krell‐Roesch… - Frontiers in …, 2024 - frontiersin.org
Background We investigated a potential sex difference in the relationship between alcohol
consumption, brain age gap and cognitive function in older adults without cognitive …
consumption, brain age gap and cognitive function in older adults without cognitive …
Atypical brain aging and its association with working memory performance in major depressive disorder
NCW Ho, RAI Bethlehem, J Seidlitz… - Biological Psychiatry …, 2024 - Elsevier
Background Patients with major depressive disorder (MDD) can present with altered brain
structure and deficits in cognitive function similar to those seen in aging. However, the …
structure and deficits in cognitive function similar to those seen in aging. However, the …
Accelerated biological brain aging in major depressive disorder
Major depressive disorder (MDD) patients commonly encounter multiple types of functional
disabilities, such as social, physical, and role functioning. MDD is related to an accreted risk …
disabilities, such as social, physical, and role functioning. MDD is related to an accreted risk …
Establishing the clinical potential of brain aging in depression: implications for suicidality and antidepressant response
NCW Ho, K Dunlop - Biological psychiatry: cognitive …, 2023 - biologicalpsychiatrycnni.org
Brain aging as a field of study harnesses interindividual variability in structural and/or
functional correlates of aging. In most studies, machine learning models are trained on large …
functional correlates of aging. In most studies, machine learning models are trained on large …