|
1 | | -# Weekly ToC Digest (week of 2026-06-08) |
| 1 | +# Weekly ToC Digest (week of 2026-06-15) |
2 | 2 |
|
3 | | -This week's selection did not include high-value papers specifically focused on brain-age modeling, neuroimaging, or normative baselines. No relevant papers on brain aging or computational methods for brain-age modeling this week. No papers specifically addressing brain aging models or related neuroimaging biomarkers were found. Most articles were unrelated to the user's interests. No RSS items directly align with brain aging, neuroimaging-based biomarkers, or computational contributions in brain-age modeling. |
| 3 | +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. |
4 | 4 |
|
5 | | -**Included:** 0 (score ≥ 0.35) |
6 | | -**Scored:** 3 total items |
| 5 | +**Included:** 10 (score ≥ 0.35) |
| 6 | +**Scored:** 12 total items |
7 | 7 |
|
8 | 8 | --- |
9 | 9 |
|
10 | | -_No items met the relevance threshold this week._ |
| 10 | +## [Aging and metabolism contribute separately to brain–body health](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003856) |
| 11 | +*PLOS Biol* |
| 12 | +Score: **0.90** |
| 13 | +Published: 2026-06-15T14:00:00+00:00 |
| 14 | +Tags: brain age, MRI, multimodal, normative |
| 15 | + |
| 16 | +Uses multivariate pattern learning to examine how brain health relates to aging and metabolic biomarkers, aligning well with normative modeling of brain aging. |
| 17 | + |
| 18 | +<details> |
| 19 | +<summary>RSS summary</summary> |
| 20 | + |
| 21 | +<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… |
| 22 | + |
| 23 | +</details> |
| 24 | + |
| 25 | +--- |
| 26 | + |
| 27 | +## [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) |
| 28 | +*Nature Human Behav* |
| 29 | +Score: **0.90** |
| 30 | +Published: 2026-06-12T00:00:00+00:00 |
| 31 | +Tags: epigenetic clocks, brain age |
| 32 | + |
| 33 | +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. |
| 34 | + |
| 35 | +<details> |
| 36 | +<summary>RSS summary</summary> |
| 37 | + |
| 38 | +<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. |
| 39 | + |
| 40 | +</details> |
| 41 | + |
| 42 | +--- |
| 43 | + |
| 44 | +## [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) |
| 45 | +*Nature Mental Health* |
| 46 | +Score: **0.85** |
| 47 | +Published: 2026-06-15T00:00:00+00:00 |
| 48 | +Tags: Brain-PAD, MRI, harmonization, ENIGMA |
| 49 | + |
| 50 | +Leveraging data from ENIGMA, focuses on vertex-wise cortical changes, indicating relevance to brain aging models and harmonization efforts. |
| 51 | + |
| 52 | +<details> |
| 53 | +<summary>RSS summary</summary> |
| 54 | + |
| 55 | +<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. |
| 56 | + |
| 57 | +</details> |
| 58 | + |
| 59 | +--- |
| 60 | + |
| 61 | +## [Two modes of aging to explain why lifespans differ across species](https://www.nature.com/articles/s43587-026-01141-y) |
| 62 | +*Nature Aging* |
| 63 | +Score: **0.85** |
| 64 | +Published: 2026-06-12T00:00:00+00:00 |
| 65 | +Tags: modeling, aging |
| 66 | + |
| 67 | +This study proposes a computational model mapping survival data to cellular dynamics, relevant for understanding comparative aging processes, including brain aging. |
| 68 | + |
| 69 | +<details> |
| 70 | +<summary>RSS summary</summary> |
| 71 | + |
| 72 | +<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. |
| 73 | + |
| 74 | +</details> |
| 75 | + |
| 76 | +--- |
| 77 | + |
| 78 | +## [Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network](https://www.nature.com/articles/s41598-026-57930-3) |
| 79 | +*Scientific Reports* |
| 80 | +Score: **0.80** |
| 81 | +Published: 2026-06-15T00:00:00+00:00 |
| 82 | +Tags: brain age, MRI, generalization |
| 83 | + |
| 84 | +Highlights new neural network methods for modeling brain connectivity, which could inform machine learning approaches in brain aging. |
| 85 | + |
| 86 | +<details> |
| 87 | +<summary>RSS summary</summary> |
| 88 | + |
| 89 | +<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 |
| 90 | + |
| 91 | +</details> |
| 92 | + |
| 93 | +--- |
| 94 | + |
| 95 | +## [A protective role for APP in nuclear waste clearance via lysosomal exocytosis](https://www.pnas.org/doi/abs/10.1073/pnas.2524190123?af=R) |
| 96 | +*PNAS* |
| 97 | +Score: **0.80** |
| 98 | +Published: 2026-06-11T07:00:00+00:00 |
| 99 | +Tags: brain aging, Alzheimer's |
| 100 | + |
| 101 | +Although focused on Alzheimer's disease, this research highlights APP's role in age-related cellular processes, potentially informing brain aging models. |
| 102 | + |
| 103 | +<details> |
| 104 | +<summary>RSS summary</summary> |
| 105 | + |
| 106 | +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 ... |
| 107 | + |
| 108 | +</details> |
| 109 | + |
| 110 | +--- |
| 111 | + |
| 112 | +## [Neuroimaging runs on helium, helium runs through Hormuz](https://www.nature.com/articles/s41593-026-02355-4) |
| 113 | +*Nature Neuroscience* |
| 114 | +Score: **0.75** |
| 115 | +Published: 2026-06-15T00:00:00+00:00 |
| 116 | +Tags: neuroimaging, MRI |
| 117 | + |
| 118 | +Discusses structural dependencies in neuroimaging resources, relevant for long-term research into brain aging and imaging-guided models. |
| 119 | + |
| 120 | +<details> |
| 121 | +<summary>RSS summary</summary> |
| 122 | + |
| 123 | +<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. |
| 124 | + |
| 125 | +</details> |
| 126 | + |
| 127 | +--- |
| 128 | + |
| 129 | +## [Patterns of brain-wide associations reflect socioeconomics](https://www.science.org/doi/abs/10.1126/science.aee6213?af=R) |
| 130 | +*Science* |
| 131 | +Score: **0.75** |
| 132 | +Published: 2026-06-11T07:00:00+00:00 |
| 133 | +Tags: brain imaging, socioeconomics |
| 134 | + |
| 135 | +Study on brain-wide associations related to socioeconomic factors may impact understanding of normative brain aging baselines. |
| 136 | + |
| 137 | +<details> |
| 138 | +<summary>RSS summary</summary> |
| 139 | + |
| 140 | +Science, Volume 392, Issue 6803, June 2026. <br /> |
| 141 | + |
| 142 | +</details> |
| 143 | + |
| 144 | +--- |
| 145 | + |
| 146 | +## [Developmental emergence of spatiotemporal coordination in cerebellar Purkinje cell populations](https://www.biorxiv.org/content/10.64898/2026.06.12.731562v1?rss=1) |
| 147 | +*bioRxiv* |
| 148 | +Score: **0.70** |
| 149 | +Published: 2026-06-12T00:00:00+00:00 |
| 150 | +Tags: development, brain imaging |
| 151 | + |
| 152 | +Provides insights into developmental brain changes, relevant for understanding baseline versus altered aging trajectories. |
| 153 | + |
| 154 | +<details> |
| 155 | +<summary>RSS summary</summary> |
| 156 | + |
| 157 | +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… |
| 158 | + |
| 159 | +</details> |
| 160 | + |
| 161 | +--- |
| 162 | + |
| 163 | +## [Reconstructing urban mobility from the built environment](https://www.nature.com/articles/s43588-026-01005-w) |
| 164 | +*Nature Comput Sci* |
| 165 | +Score: **0.65** |
| 166 | +Published: 2026-06-12T00:00:00+00:00 |
| 167 | +Tags: modeling, generalization |
| 168 | + |
| 169 | +Although focused on urban mobility, computational modeling techniques might offer transferable insights into cross-site harmonization in neuroimaging. |
| 170 | + |
| 171 | +<details> |
| 172 | +<summary>RSS summary</summary> |
| 173 | + |
| 174 | +<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… |
| 175 | + |
| 176 | +</details> |
| 177 | + |
| 178 | +--- |
0 commit comments