@juhasilvanto.bsky.social

Cognitive neuroscientist currently interested in the interplay of interoception and imagery. Working hypothesis that aphantasia results from suboptimal processing of interoceptive signals in the insula

Why is mental imagery so closely linked to emotions, as well as affective conditions (e.g. depression) and neurodevelopmental variation (e.g. autism, alexithymia)? In our new Trends Open paper, We propose its due to their overlap in mechanisms driven by insula. 1/2

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What if aphantasia isn't merely a deficit in visual imagery, but also breakdown in how the brain's predictive systems calibrate each other? New paper. 🧵 1/5

Interoceptive Profiling for Predicting of Mental Health: A Person-Centred Approach Rather than asking whether interoception predict mental health across a population, we examined how measures of subjective interoception naturally cluster within individuals 1/4

The dominant view holds that aphantasics have unconscious imagery. We propose that instead they have sensory precursors: pre-perceptual codes that never get integrated into experience. New integration model unifying attention/interoception explains why: www.sciencedirect.com/science/arti...

An Integration Model of Mental Imagery and Aphantasia: Conceptual Framework, Neuromechanistic Pathways, and Clinical Implications

Aphantasia, the strong diminution or complete absence of mental imagery, challenges long-standing views of imagery as central to cognition. Competing …

sciencedirect.com

How did imagery come about in evolution? You can't plan without knowing what you're planning for. That's why interoception is the evolutionary foundation of imagery, and why sensory and interoceptive components are bound during imagery construction. New evolutionary theory: osf.io/preprints/ps...

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osf.io

My group has cog neuro PhD positions available (at the University of Macau). We work on mind-body links, particularly with respect to imagery/aphantasia and mental health. Please get in touch if you are interested!

In this preprint we report that childhood trauma is linked to visual imagery deficits. Across imagery spectrum, severe childhood trauma is associated with a 20% decrease in imagery vividness vs low trauma; 4-5x higher prevalence of imagery deficits in severe vs low trauma. osf.io/preprints/ps...

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osf.io

affective-autonomic pathway to acquired aphantasia: appr. 60% of acquired cases of aphantasia have psychogenic origin. In the interoceptive model, affective disorders disrupt the integration of bodily & cognitive signals needed for imagery. work with Yoko Nagai www.sciencedirect.com/science/arti...

Autonomic, Neurodevelopmental, and Early Adversity Correlates of Acquired Aphantasia

Aphantasia (the inability to voluntarily generate mental imagery) has traditionally been studied as a congenital or neurological condition. However, h…

sciencedirect.com

Such fascinating work! I also 100% recommend this paper from the same @kerblooee.bsky.social group - the first predictive model of how we distinguish internal and external percepts...explaining imagery, halllucination... great glinical implications academic.oup.com/nc/article/2...

A novel model of divergent predictive perception

Abstract. Predictive processing theories state that our subjective experience of reality is shaped by a balance of expectations based on previous knowledge

academic.oup.com

Dr Reshanne Reeder@kerblooee.bsky.social · last yr.

If you are at #CogSci2025 go see Seana Coulson present the poster on @chkhaidze.bsky.social's computational ganzflicker study! Friday, 1st August, poster session 2! cognitivesciencesociety.org/cogsci-2025/

Our new preprint explores what people with different visual imagery abilities 'see' during Ganzflicker-induced hallucinations. We used NLP + ML techniques to analyze descriptions from 4,000+ participants. See what we found in @kerblooee.bsky.social's thread

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Dr Reshanne Reeder@kerblooee.bsky.social · last yr.

Thousands of people have provided written accounts of their Ganzflicker hallucinations, so @chkhaidze.bsky.social used NLP and machine learning techniques to explore the different content described by individuals across the imagery spectrum - what did she find? ... 1/5 arxiv.org/abs/2507.09011