Complex PTSD Recovery [on Spotify] : We Are Traumatized Motherfuckers

A month full of dealing with fear and determining who to be. In this release from the patreon stream, we talk about the terrors of time when you have a traumatized brain. Inconsistency, lapses, wormholes and sandtraps... we live in temporal funhouses. Let's talk about how an unstandard relationship with time affects our relationships and what to do about it.

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Rumination isn't only an annoyance, it's a predisposing factor for psychopathology. Here are 5 research-backed tips for changing the chronic thought pattern.

summary

In this ep we talk about practical strategies for managing cyclical thoughts. The discussion emphasizes the importance of visualization techniques, cognitive restructuring, and unfortunately self-acceptance, to break the torture of continual negative thinking. We provide actionable tips to help navigate ruminatory patterns and foster a chronically healthier mindset.

takeaways

• Rumination is linked to trauma, anxiety, and depression.

• Setting a timer for ruminating thoughts can reinforce them through ironic control processes.

• Visualizing to create your own inhibitory signal can help interrupt negative thought patterns.

• Mapping the brain's rumintory circuit and tracking inner expeirence through it can aid in managing rumination.

• Re-calibrating obsessive view of one event within the context of an entire existence can shift attention.

• Avoid thinking about personal memories or predictions before bed to prevent insomnia.

• Using "cognitive bridges" can help connect conflicting thoughts so the mind can hold both.

• Self-forgiveness and esteem are (unfortunately) crucial for overcoming ruminatory thinking.

• A realistic lens assists with rumination: Life is unpredictable, and we have limited control over events.

keywords

rumination, mental health, anxiety, cognitive control, self-acceptance, coping strategies, visualization, brain circuits, insomnia, self-forgiveness, the unpredictable nature of the universe and your realistic place in it

'Stop seeing everything so negatively." they say. But the cognitive behaviors underlying depression don't allow it. Let's talk about mental reactions and sticky patterns that outweigh false brightsides.

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Workbook!

Patreon Vid!

summary

This conversation delves into the cognitive basis of depression, focusing on how neural networks, memory games, language, cognitive inhibition inhibition, outdated working memory, and rumination contribute to depressive states. It explores the mechanisms behind cognitive depression, compassionate views for the state of human suffering, and offers strategies for managing depression through attention training and environmental changes.

takeaways

• Neural networks, schemas, and representations automatically shape our understanding of experiences.
• Even singular stimulation events can activate depressive schemas, limiting potential perceptions.
• Memory biases in depression lead to a resonating focus on negative experiences.
• Over generalized and explicit memories are unique experiences associated with depression.
• Cognitive inhibition is ironically inhibited during depression.
• Working memory cannot update with relevant material under depressive spells.
• Emotional regulation is hindered by cognitive control loss in depression.
• Rumination causes or exacerbates depression, anxiety, and PTSD due to a negative focus on the self.
• Automatic reckoning with the human condition may be the cause of many varieties of cognitive disorders.
• Training attention can redirect focus away from negativity.
• Ambiguous or negative social environments spark rumination which leads to depression.
• Changing environments and behaviors can help disrupt negative neural networks.
• Understanding the cognitive processes behind depression can bolster compassion and help deactivate negative schemas.

keywords

cognitive depression, memory bias, cognitive inhibition, working memory, overgeneralized memory, semantic memory, rumination, emotional regulation, reappraisal, self-doubt, neural networks