Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 295 - 319
Published: Oct. 1, 2024
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 295 - 319
Published: Oct. 1, 2024
Biological Psychiatry, Journal Year: 2022, Volume and Issue: 93(5), P. 405 - 418
Published: Nov. 9, 2022
Language: Английский
Citations
117Journal of Neuroinflammation, Journal Year: 2025, Volume and Issue: 22(1)
Published: Jan. 19, 2025
Major depressive disorder is a prevalent mental disorder, yet its pathogenesis remains poorly understood. Accumulating evidence implicates dysregulated immune mechanisms as key contributors to disorders. This review elucidates the complex interplay between peripheral and central components underlying pathology. Peripherally, systemic inflammation, gut dysregulation, dysfunction in organs including gut, liver, spleen adipose tissue influence brain function through neural molecular pathways. Within nervous system, aberrant microglial astrocytes activation, cytokine imbalances, compromised blood-brain barrier integrity propagate neuroinflammation, disrupting neurotransmission, impairing neuroplasticity, promoting neuronal injury. The crosstalk immunity creates vicious cycle exacerbating neuropathology. Unraveling these multifaceted immune-mediated provides insights into major disorder's pathogenic basis potential biomarkers targets. Modulating both responses represent promising multidimensional therapeutic strategy.
Language: Английский
Citations
5Neuropharmacology, Journal Year: 2023, Volume and Issue: 226, P. 109422 - 109422
Published: Jan. 13, 2023
Language: Английский
Citations
35Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 9(6), P. 626 - 634
Published: Jan. 26, 2024
Language: Английский
Citations
7Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15
Published: March 12, 2024
The widely acknowledged cognitive theory of depression, developed by Aaron Beck, focused on biased information processing that emphasizes the negative aspects affective and conceptual information. Current attempts to discover neurological mechanism underlying such bias have successfully identified various brain regions associated with severally functions as emotion, attention, rumination, inhibition control. However, neurobiological mechanisms how individuals in depression develop this selective toward is still under question. This paper introduces a framework centered around frontal-limbic circuit, specifically analyzing synthesizing activity functional connectivity within amygdala, hippocampus, medial prefrontal cortex. Firstly, possible explanation positive feedback loop contributes persistent hyperactivity amygdala at an automatic level established. Building upon this, two hypotheses are presented: hypothesis 1 revolves bidirectional amygdalohippocampal projection facilitating amplification emotions memories while concurrently contributing impediment retrieval opposing hippocampus attractor network. Hypothesis 2 highlights involvement ventromedial cortex establishment through generalization emotional conjunction hippocampus. primary objective study improve complement existing pathological models pushing frontiers current understanding neuroscience disorders, eventually successful recovery from debilitating disorders.
Language: Английский
Citations
7Food Research International, Journal Year: 2024, Volume and Issue: 197, P. 115191 - 115191
Published: Oct. 18, 2024
Language: Английский
Citations
5Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0Depression and Anxiety, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 1, 2025
An enduring mystery in neuroscience is the intricate interplay between brain anatomical structure and functional dynamics, particularly context of mental disorders such as major depressive disorder (MDD). A pivotal scientific question arises: How does cortical morphology-function coupling (MFC) manifest MDD, what insights can this provide into clinical manifestations disorder? To tackle question, we conducted a comprehensive analysis using high-resolution T1-weighted structural magnetic resonance imaging (MRI) resting-state MRI (rs-fMRI) data from cohort 830 MDD patients 853 healthy control (HC). By constructing morphological networks based on gray matter (GM) morphology regional rs-fMRI time series correlations, respectively, aimed to quantify MFC by assessing spatial correspondence these networks. Results revealed that exhibited hierarchical pattern similar HC, with variations specific Specifically, lower was observed visual network (VIS) sensorimotor (SMN), while higher noted default mode (DMN) frontoparietal (FPN). Notably, demonstrated significantly increased within VIS, SMN, dorsal attention (DAN) compared HC. Furthermore, altered VIS correlated positively symptom severity. These findings contribute our understanding potential significance alterations MDD.
Language: Английский
Citations
0Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127984 - 127984
Published: May 1, 2025
Language: Английский
Citations
0Visual Cognition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10
Published: May 13, 2025
Language: Английский
Citations
0