Neurology

In vivo mapping of striatal neurodegeneration in Huntington’s disease with Soma and Neurite Density Imaging

1. Vasileios Ioakeimidis
2. Marco Palombo
3. Chiara Casella
4. Lucy Layland
5. Carolyn B. McNabb
6. Robin Schubert
7. Philip Pallmann
8. Monica E. Busse
9. Cheney J. G. Drew
10. Sundus Alusi
11. Timothy Harrower
12. Anne E. Rosser
13. Claudia Metzler-Baddeley

• Curated by eLife

  eLife Assessment

  This important manuscript presents a novel application of the SANDI (Soma and Neurite Density Imaging) model to study microstructural alterations in the basal ganglia of individuals with Huntington's disease (HD). The compelling methods, to our understanding, the first application of SANDI to neurodegenerative diseases, provide strong evidence for HD-related neurodegeneration in the striatum, account significantly for striatal atrophy, and correlate with motor impairments. The integration of novel diffusion acquisition and modelling methods with multimodal behavioural data are both of high value in their own right, and create a framework for future studies.

Reviewed by eLife

Increased occurrence of migraine aura and susceptibility to spreading depolarizations at altitude

1. Katelyn M. Reinhart
2. Melissa M. Cortez
3. Cecilia Martindale
4. Leon S. Moskatel
5. J. Gary Urry
6. Zubair A. Ahmed
7. Anna Newman
8. Kendra Pham
9. Jared Bartell
10. Todd Schwedt
11. Sheena Aurora
12. Kathleen B. Digre
13. Susan K. Baggaley
14. K.C. Brennan

Reviewed by PREreview

FUS Mislocalization Rewires a Cortical Gene Network to Drive Cognitive and Behavioral Impairment in ALS

1. Raphaelle Cassel
2. Félicie Lorenc
3. Aurélie Bombardier
4. Claudia De Tapia
5. Stéphane Dieterle
6. Cláudio Gouveia Roque
7. Christopher A. Jackson
8. Geoffrey Stuart-Lopez
9. Caroline Rouaux
10. Simon J. Guillot
11. Marie-Christine Birling
12. Pascal Kessler
13. Maurizio Grassano
14. Bryan Traynor
15. Adriano Chio
16. Raju Roy
17. James Shorter
18. Fergal M. Waldron
19. Jenna M. Gregory
20. Hemali Phatnani
21. Luc Dupuis
22. Salim Megat

Reviewed by preLights

Neuromodulation with Ultrasound: Hypotheses on the Directionality of Effects and Community Resource

1. Hugo Caffaratti
2. Ben Slater
3. Nour Shaheen
4. Ariane Rhone
5. Ryan Calmus
6. Michael Kritikos
7. Sukhbinder Kumar
8. Brian Dlouhy
9. Hiroyuki Oya
10. Tim Griffiths
11. Aaron D Boes
12. Nicholas Trapp
13. Marcus Kaiser
14. Jérôme Sallet
15. Matthew I Banks
16. Matthew A Howard
17. Mario Zanaty
18. Christopher I Petkov

• Curated by eLife

  eLife Assessment

  This paper is an important overview of the currently published literature on low-intensity focussed ultrasound stimulation (TUS) in humans, providing a meta-analysis of this literature that explores which stimulation parameters might predict the directionality of the physiological stimulation effects. The overall synthesis, except for the section on TPS and AD, is convincing though could be streamlined at places. The database proposed by the paper has the potential to become a key community resource if carefully curated and developed.

Reviewed by eLife

Identification of novel human microcephaly-linked protein Mtss2 that mediates cortical progenitor cell division and corticogenesis through Nedd9-RhoA

1. Aurelie Carabalona
2. Henna Kallo
3. Maryanne Gonzalez
4. Liliia Andriichuk
5. Ellinoora Elomaa
6. Florence Molinari
7. Christiana Fragkou
8. Pekka Lappalainen
9. Marja W Wessels
10. Juha Saarikangas
11. Claudio Rivera

• Curated by eLife

  eLife Assessment

  This important contribution to the field evaluated the function of the cytoskeletal protein ABBA in mediating key aspects of mitosis of neuronal precursor cells. The authors provide compelling evidence that ABBA interactions with its signaling partners is related to the development of at least some cases of microcephaly-a developmental anomaly associated with intellectual disability and other neurological findings.

Reviewed by eLife

Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

1. Natasha Ironside
2. Kareem El Naamani
3. Tanvir Rizvi
4. Mohammed Shifat E-Rabbi
5. Shinjini Kundu
6. Andrea Becceril-Gaitan
7. Kristofor Pas
8. Harrison Snyder
9. Ching-Jen Chen
10. Carl D Langefeld
11. Daniel Woo
12. Stephan Mayer
13. E Sander Connolly
14. Gustavo Rohde

• Curated by eLife

  eLife Assessment

  This study proposes a valuable and interpretable approach for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage from non-contrast computed tomography. The predictive performance of the proposed method is solid through external validation using two datasets. The work will be of interest to medical biologists working on stroke and neuroimaging.

Reviewed by eLife

Menopausal hormone therapy and the female brain: Leveraging neuroimaging and prescription registry data from the UK Biobank cohort

1. Claudia Barth
2. Liisa AM Galea
3. Emily G Jacobs
4. Bonnie H Lee
5. Lars T Westlye
6. Ann-Marie G de Lange

• Curated by eLife

  eLife Assessment

  This observational study from the UK Biobank provides an important investigation into the associations between menopausal hormone therapy and brain health in a large, population-based cohort of females in the UK. A convincing model of brain aging using an open source algorithm is used. While some modest adverse brain health characteristics were associated with current mHT use and older age at last use, the findings do not support a general neuroprotective effect of mHT nor severe adverse effects on the female brain. This work addresses a topic that is of grave importance since menopausal hormone therapy and its effect on the brain should be better understood in order to provide individualized effective medical support to women going through menopause.

Reviewed by eLife

Predicting the causal relationship between polyunsaturated fatty acids and cerebral aneurysm risk from a Mendelian randomization study

1. Weijie Yu
2. Liwei Zhou
3. Chongfei Li
4. Zhenwei Lu
5. Xiaoyu Chen
6. Hao Yu
7. Xiaoyan Chen
8. Qionghui Huang
9. Zhangyu Li
10. Deyong Xiao
11. Yunyun Mei
12. Zhanxiang Wang

• Curated by eLife

  eLife Assessment

  Yu and colleagues used two-sample MR to test the effect of PUFA on cerebral aneurysms. They found that genetically predicted omega-3 and DHA decreased the risk for Intracranial Aneurysm and Subarachnoid Haemorrhage. This work is useful and the revised version provides solid evidence to support the claims.

Reviewed by eLife

Predictive models for secondary epilepsy in patients with acute ischemic stroke within one year

1. Jinxin Liu
2. Haoyue He
3. Yanglingxi Wang
4. Jun Du
5. Kaixin Liang
6. Jun Xue
7. Yidan Liang
8. Peng Chen
9. Shanshan Tian
10. Yongbing Deng

• Curated by eLife

  eLife Assessment

  This valuable study reports machine learning models derived from large-scale data to predict the risk of post-stroke epilepsy. The evidence supporting the conclusions is convincing, although there are some validation issues (lack of cross-validation, possible bias in external validation results). The study may be of interest in the field of clinical neurology

Reviewed by eLife

Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI

1. Fan Nils Yang
2. Dante Picchioni
3. Jacco A de Zwart
4. Yicun Wang
5. Peter van Gelderen
6. Jeff H Duyn

• Curated by eLife

  eLife assessment

  This important work, leveraging state-of-the-art whole-night sleep EEG-fMRI methods, advances our understanding of the brain states underlying sleep and wakefulness. Despite a small sample size, the authors present convincing evidence for substates within N2 and REM sleep stages, with reliable transition structure, supporting the perspective that there are more than the five canonical sleep/wake states.

Reviewed by eLife