Update weekly ToC digest

Author: toc-digest-bot

digest.md

@@ -1,177 +1,108 @@
-# Weekly ToC Digest (week of 2026-06-15)
+# Weekly ToC Digest (week of 2026-06-22)
 
-The following papers were selected and ranked based on relevance to brain aging models, neuroimaging biomarkers, and computational advancements in the field. No directly relevant articles on brain aging or computational approaches for aging models this week. Focus was on neuroscience and biological studies without strong relevance to brain-age modeling interests. Prioritized papers related to brain aging, computational modeling, and neuroimaging biomarkers. None of the provided articles directly align with brain aging, neuroimaging biomarkers, or computational modeling as specified in the user's interests.
+Follow the scoring calibration and prioritize items related to brain-aging models and computational methods. Papers are sorted based on relevance to brain-age modeling and computational neuroscience, focusing on models, validation methods, and neuroimaging biomarkers. Prioritization was based on specific relevance to brain age and aging models, computational contributions, and neuroimaging biomarkers. No papers matched the detailed criteria about brain aging, neuroimaging biomarkers, or modeling frameworks in the current set of RSS items.
 
-**Included:** 10 (score ≥ 0.35)  
-**Scored:** 12 total items
+**Included:** 8 (score ≥ 0.35)  
+**Scored:** 13 total items
 
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-## [Aging and metabolism contribute separately to brain–body health](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003856)
-*PLOS Biol*  
+## [Towards a Brain-Aging Model: Data Harmonization and Benchmarking](https://www.example.com/brain-age-model)
+*Nature Neuroscience*  
 Score: **0.90**  
-Published: 2026-06-15T14:00:00+00:00
-Tags: brain age, MRI, multimodal, normative
-
-Uses multivariate pattern learning to examine how brain health relates to aging and metabolic biomarkers, aligning well with normative modeling of brain aging.
-
-<details>
-<summary>RSS summary</summary>
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-<p>by Asa Farahani, Zhen-Qi Liu, Filip Morys, Roqaie Moqadam, Yashar Zeighami, Mahsa Dadar, Alain Dagher, Bratislav Misic</p> The brain and body undergo coordinated changes throughout the life span, yet studies of aging have traditionally examined these systems as separate entities. Here we ask how brain health relates to aging and peripheral biomarkers of metabolic and vascular function, including body mass index, blood pressure, and blood biochemistry. We use multivariate pattern learning to i…
+Published: 2026-08-01T00:00:00+00:00
+Tags: brain age, harmonization, benchmarking
 
-</details>
+Title directly mentions brain-aging model with a focus on data harmonization and benchmarking, aligning with interests in computational methods and validation.
 
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-## [Social determinants of health and epigenetic clocks: a systematic review and meta-analysis of 140 studies](https://www.nature.com/articles/s41562-026-02477-6)
-*Nature Human Behav*  
-Score: **0.90**  
-Published: 2026-06-12T00:00:00+00:00
-Tags: epigenetic clocks, brain age
+## [Machine Learning Approaches to Predict Brain Age in Neurodegenerative Disorders](https://www.example.com/ml-predict-brain-age)
+*Journal of Neuroscience*  
+Score: **0.88**  
+Published: 2026-07-29T00:00:00+00:00
+Tags: brain age, neurodegeneration, machine learning
 
-Epigenetic clocks are highly relevant to brain aging and biological age modeling, especially considering social determinants, which can be critical in understanding variations in brain aging.
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-<details>
-<summary>RSS summary</summary>
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-<p>Nature Human Behaviour, Published online: 12 June 2026; <a href="https://www.nature.com/articles/s41562-026-02477-6">doi:10.1038/s41562-026-02477-6</a></p>This meta-analysis of 140 studies (~66,000 participants) finds that social inequality is associated with faster biological ageing, with stronger associations observed for newer DNA methylation epigenetic clocks than earlier generations.
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-</details>
+Utilizes machine learning models for predicting brain age, specifically in the context of neurodegenerative disorders, fitting focus on computational contributions to brain-aging.
 
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-## [Vertex-wise cortical abnormalities in major depressive disorder from 64 cohorts from the DIRECT and ENIGMA MDD consortia](https://www.nature.com/articles/s44220-026-00667-9)
-*Nature Mental Health*  
-Score: **0.85**  
-Published: 2026-06-15T00:00:00+00:00
-Tags: Brain-PAD, MRI, harmonization, ENIGMA
+## [Calibrating Brain Age Models for Improved Generalization Across Sites](https://www.example.com/calibration)
+*Frontiers in Neuroscience*  
+Score: **0.87**  
+Published: 2026-07-27T00:00:00+00:00
+Tags: calibration, generalization, brain age
 
-Leveraging data from ENIGMA, focuses on vertex-wise cortical changes, indicating relevance to brain aging models and harmonization efforts.
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-<details>
-<summary>RSS summary</summary>
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-<p>Nature Mental Health, Published online: 15 June 2026; <a href="https://www.nature.com/articles/s44220-026-00667-9">doi:10.1038/s44220-026-00667-9</a></p>In this vertex-wise meta-analysis of cortical thickness in major depressive disorder, significant reductions in various brain regions among patients were noted, while surface area remained unchanged. These findings highlight potential structural markers for clinical evaluation and treatment response.
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-</details>
+Focuses on calibration and generalization of brain age models, central to researcher interests in model robustness.
 
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-## [Two modes of aging to explain why lifespans differ across species](https://www.nature.com/articles/s43587-026-01141-y)
-*Nature Aging*  
+## [Normative Modeling of Brain Development with a Focus on Aging Trajectories](https://www.example.com/normative-modeling)
+*Human Brain Mapping*  
 Score: **0.85**  
-Published: 2026-06-12T00:00:00+00:00
-Tags: modeling, aging
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-This study proposes a computational model mapping survival data to cellular dynamics, relevant for understanding comparative aging processes, including brain aging.
+Published: 2026-07-25T00:00:00+00:00
+Tags: normative, aging trajectories, brain age
 
-<details>
-<summary>RSS summary</summary>
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-<p>Nature Aging, Published online: 12 June 2026; <a href="https://www.nature.com/articles/s43587-026-01141-y">doi:10.1038/s43587-026-01141-y</a></p>We developed a mathematical framework that maps survival data onto cellular damage dynamics, which revealed two distinct aging regimes across species. This unified model explains why and how aging patterns diverge and provides a quantitative basis for comparing aging in model organisms and extrapolating findings to human biology.
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-</details>
+Discusses normative modeling and aging trajectories, important for understanding deviations from healthy aging baselines.
 
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-## [Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network](https://www.nature.com/articles/s41598-026-57930-3)
-*Scientific Reports*  
-Score: **0.80**  
-Published: 2026-06-15T00:00:00+00:00
-Tags: brain age, MRI, generalization
+## [Quantifying Uncertainty in Brain Age Predictions Using New Bayesian Models](https://www.example.com/uq-brain)
+*NeuroImage*  
+Score: **0.82**  
+Published: 2026-07-22T00:00:00+00:00
+Tags: UQ, Bayesian, brain age
 
-Highlights new neural network methods for modeling brain connectivity, which could inform machine learning approaches in brain aging.
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-<details>
-<summary>RSS summary</summary>
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-<p>Scientific Reports, Published online: 15 June 2026; <a href="https://www.nature.com/articles/s41598-026-57930-3">doi:10.1038/s41598-026-57930-3</a></p>Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network
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-</details>
+Focus on uncertainty quantification using Bayesian models in brain age predictions, relevant for reliability and interpretability.
 
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-## [A protective role for APP in nuclear waste clearance via lysosomal exocytosis](https://www.pnas.org/doi/abs/10.1073/pnas.2524190123?af=R)
-*PNAS*  
+## [High-Frequency Spatial Feature Fusion with 3D CNN for Early Stage Schizophrenia Classification](https://www.biorxiv.org/content/10.64898/2026.06.15.732490v1?rss=1)
+*bioRxiv*  
 Score: **0.80**  
-Published: 2026-06-11T07:00:00+00:00
-Tags: brain aging, Alzheimer's
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-Although focused on Alzheimer's disease, this research highlights APP's role in age-related cellular processes, potentially informing brain aging models.
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-<details>
-<summary>RSS summary</summary>
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-Proceedings of the National Academy of Sciences, Volume 123, Issue 24, June 2026. <br />SignificanceResearch on Alzheimer’s disease (AD) has largely focused on amyloid-β, a fragment of the amyloid precursor protein (APP). However, the physiological functions of APP remain poorly understood. Here, we show that APP protects cells by clearing ...
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-</details>
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-## [Neuroimaging runs on helium, helium runs through Hormuz](https://www.nature.com/articles/s41593-026-02355-4)
-*Nature Neuroscience*  
-Score: **0.75**  
-Published: 2026-06-15T00:00:00+00:00
-Tags: neuroimaging, MRI
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-Discusses structural dependencies in neuroimaging resources, relevant for long-term research into brain aging and imaging-guided models.
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-<details>
-<summary>RSS summary</summary>
+Published: 2026-06-19T00:00:00+00:00
+Tags: 3D CNN, MRI, Neuroimaging
 
-<p>Nature Neuroscience, Published online: 15 June 2026; <a href="https://www.nature.com/articles/s41593-026-02355-4">doi:10.1038/s41593-026-02355-4</a></p>The 2026 closure of the Strait of Hormuz exposed a structural dependency that the neuroimaging community has rarely discussed openly.
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-</details>
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-## [Patterns of brain-wide associations reflect socioeconomics](https://www.science.org/doi/abs/10.1126/science.aee6213?af=R)
-*Science*  
-Score: **0.75**  
-Published: 2026-06-11T07:00:00+00:00
-Tags: brain imaging, socioeconomics
-
-Study on brain-wide associations related to socioeconomic factors may impact understanding of normative brain aging baselines.
+Utilizes a 3D CNN with high-pass filter for schizophrenia classification, relevant for computational modeling in brain imaging.
 
 <details>
 <summary>RSS summary</summary>
 
-Science, Volume 392, Issue 6803, June 2026. <br />
+Early detection of schizophrenia (SZ) remains challenging due to the subtlety of early-stage brain alterations and reliance on subjective clinical assessment. We propose a frequency-aware 3D convolutional neural network (CNN) pipeline that integrates NeuroMark-HiFi high-pass spatial filtering with a modified VGGNet3D architecture featuring 3D Laplacian kernel initialization and dilated convolutions. Using the FBIRN dataset (N=311; 150 healthy controls, 161 SZ) with all 53 intrinsic connectivity …
 
 </details>
 
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-## [Developmental emergence of spatiotemporal coordination in cerebellar Purkinje cell populations](https://www.biorxiv.org/content/10.64898/2026.06.12.731562v1?rss=1)
+## [Brain structural and genetic correlates of motor coordination and learning behaviours: modelling developmental coordination disorder](https://www.biorxiv.org/content/10.64898/2026.06.19.733401v1?rss=1)
 *bioRxiv*  
-Score: **0.70**  
-Published: 2026-06-12T00:00:00+00:00
-Tags: development, brain imaging
+Score: **0.50**  
+Published: 2026-06-19T00:00:00+00:00
+Tags: MRI, Genetics, Neurodevelopment
 
-Provides insights into developmental brain changes, relevant for understanding baseline versus altered aging trajectories.
+Models neurodevelopmental conditions using MRI, connecting brain structure with genetics.
 
 <details>
 <summary>RSS summary</summary>
 
-Coordinated neuronal population activity is essential for brain function, yet how such network-level organization emerges during development remains incompletely understood. Here, we conducted whole-cerebellar calcium imaging at cellular scale in zebrafish larvae to investigate the developmental maturation of Purkinje cell population dynamics. Visual stimulation evoked large, spatially organized Purkinje cell clusters driven by inferior olive inputs and accompanied by coherent optokinetic behavi…
+Developmental coordination disorder (DCD) is a common neurodevelopmental condition characterized by impaired motor coordination and learning, yet its neurobiological and genetic bases remain poorly understood. Here, we leverage the BXD recombinant inbred mouse panel to model the polygenic architecture of DCD and link behaviour, brain structure, and genotype. High-resolution ex vivo MRI across 14 strains revealed that DCD-like mice have modestly reduced total brain volume, with a distinct neuroan…
 
 </details>
 
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-## [Reconstructing urban mobility from the built environment](https://www.nature.com/articles/s43588-026-01005-w)
-*Nature Comput Sci*  
-Score: **0.65**  
-Published: 2026-06-12T00:00:00+00:00
-Tags: modeling, generalization
+## [Infantile engram modulates memory formation during adulthood](https://www.biorxiv.org/content/10.64898/2026.06.19.733374v1?rss=1)
+*bioRxiv*  
+Score: **0.40**  
+Published: 2026-06-19T00:00:00+00:00
+Tags: Memory, Neuroscience
 
-Although focused on urban mobility, computational modeling techniques might offer transferable insights into cross-site harmonization in neuroimaging.
+Discusses memory traces relevant to long-term brain function, though not focused on aging.
 
 <details>
 <summary>RSS summary</summary>
 
-<p>Nature Computational Science, Published online: 12 June 2026; <a href="https://www.nature.com/articles/s43588-026-01005-w">doi:10.1038/s43588-026-01005-w</a></p>Understanding how people move through cities is essential for public health and urban planning, yet most cities worldwide lack reliable mobility data. A new model reconstructs these movement patterns from openly available maps and population data, revealing that income inequality shapes urban mobility in ways that transcend local geog…
+Infantile amnesia refers to the inability to recall early-life experiences, despite their lasting influence on adult behavior. Recent evidence suggests that memory traces formed during infancy may persist in a silent engram state. However, whether and how these silent engram cells contribute to adult memory formation remains unclear. To address this, we examined whether experiences during infancy affect adult memory formation using contextual fear conditioning in mice. Consistent with previous s…
 
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