Linn Renate S. Lindseth's Avatar

Linn Renate S. Lindseth

@liresjan

Interested in #pregnancy #womenshealth #reproductivehealth #brain #mentalhealth

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19.11.2024
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Latest posts by Linn Renate S. Lindseth @liresjan

The science community is letting Palestine and the wider Arab community down At a neurodevelopment conference I recently attended, where the focus is child health and development, I was astounded that not one voice…

No journal will take this commentary I wrote In October so fuck it, here it is on medium.

πŸ‰

09.01.2026 08:31 πŸ‘ 45 πŸ” 19 πŸ’¬ 1 πŸ“Œ 3
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Neuroimaging insights into adolescent depression risk and development Nature Mental Health - Adolescence marks a critical period for the onset of depression, yet the neurobiological mechanisms remain unclear. Here the authors review literature linking adolescent...

Our paper - Neuroimaging Insights into Adolescent Depression and Development - is now out in Nature Mental Health! 🧠 Huge thanks to my wonderful co-authors @yaratoenders.bsky.social and @cktamnes.bsky.social. I loved bringing these ideas together with you! rdcu.be/eugUM

01.07.2025 10:57 πŸ‘ 18 πŸ” 8 πŸ’¬ 0 πŸ“Œ 1
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Linking pregnancy- and birth-related risk factors to a multivariate fusion of child cortical structure | PNAS Pregnancy- and birth-related factors affect offspring brain development, emphasizing the importance of early life exposures. While most previous st...

Happy to announce that our article (my master’s thesis) is now published in PNAS. Here we investigated the link between pregnancy and birth and child brain structure πŸ§ πŸ€°πŸΌπŸ‘ΆπŸ»

www.pnas.org/doi/10.1073/...

18.06.2025 07:37 πŸ‘ 9 πŸ” 4 πŸ’¬ 0 πŸ“Œ 0
image showing a figure that illustrates the brain age prediction framework, whereby a machine learning algorithm is trained with multiple brain MRI images and then tested with new brain data. The new brain data is without an age tag, meaning the machine learning algorithm has to estimate age based on its training. The resulting brain predicted age (here 11) is compared to the actual age in the last panel (here 9), and a difference between them is calculated, known as the brain age gap (here 2).

image showing a figure that illustrates the brain age prediction framework, whereby a machine learning algorithm is trained with multiple brain MRI images and then tested with new brain data. The new brain data is without an age tag, meaning the machine learning algorithm has to estimate age based on its training. The resulting brain predicted age (here 11) is compared to the actual age in the last panel (here 9), and a difference between them is calculated, known as the brain age gap (here 2).

New preprint! πŸ—žοΈ

Lucy Whitmore and I discuss the many potential challenges in using the brain age prediction framework in children and adolescents, and make recommendations for future directions.

πŸ”—: osf.io/preprints/ps...

14.03.2025 09:28 πŸ‘ 15 πŸ” 8 πŸ’¬ 1 πŸ“Œ 1
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Multimodal Brain Age Indicators of Internalizing Problems in Early Adolescence: A Longitudinal Investigation Adolescence is a time of increased risk for the onset of internalizing problems, particularly in females. However, how individual differences in brain…

Hi BlueskyπŸ‘‹ Excited to use my first post to share our new paper: "Multimodal brain age indicators of internalizing problems in early adolescence: A longitudinal investigation" Now out in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging πŸ‘€ www.sciencedirect.com/science/arti...

28.01.2025 10:06 πŸ‘ 18 πŸ” 4 πŸ’¬ 1 πŸ“Œ 1

πŸ’₯New preprintπŸ’₯

Led by @tirilgurholt.bsky.social, we find a negative link
between higher measures of obesity-related traits and widespread regional white matter microstructure alterations,
suggesting shared body fat-related pathways linking physical and brain health.

28.01.2025 10:29 πŸ‘ 3 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
Neural underpinnings of atypical wanting and liking - Nature Reviews Psychology Nature Reviews Psychology - Neural underpinnings of atypical wanting and liking

The dissonance between wanting and liking has always fascinated me. I recently wrote about Nguyen et al.’s (2021) review on the neural underpinnings of atypical wanting and liking. www.nature.com/articles/s44...

20.01.2025 10:07 πŸ‘ 15 πŸ” 5 πŸ’¬ 1 πŸ“Œ 0

After 5 years of data collection (179 first-time mothers + controls), the first bemother.eu/en/ paper is out! We uncovered a U-shaped trajectory in maternal GM volume, resolving a long-standing puzzle in the maternal brain field. www.nature.com/articles/s41...

17.01.2025 17:54 πŸ‘ 21 πŸ” 9 πŸ’¬ 0 πŸ“Œ 1

🀯🀯

23.01.2025 12:33 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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FrΓΈya wrote her first word today at home office. True story. Apparently she’s also into brain imaging 🧠🐈

23.01.2025 12:31 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Network analysis: An overview for mental health research Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrat...

In our new #OpenAccess paper, we provide an overview of frequently used and modern network analytic techniques for psychological science & the mental health field

Out today at IJMPR with this stellar team of co-authors

#AcademicSky #PsychSciSky #Methodology

onlinelibrary.wiley.com/doi/10.1002/...

15.11.2024 08:08 πŸ‘ 61 πŸ” 18 πŸ’¬ 2 πŸ“Œ 2
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Altered markers of brain metabolism and excitability are associated with executive functioning in young children exposed to alcohol in utero - Metabolic Brain Disease Prenatal alcohol exposure (PAE) is the leading known cause of birth defects and cognitive disabilities, with impacts on brain development and executive functioning. Abnormalities in structural and fun...

Now published open access - we found that total choline and glutamate+glutamine were elevated in children exposed to alcohol prenatally during early childhood. doi.org/10.1007/s110... with @catherinealebel.bsky.social

21.11.2024 15:47 πŸ‘ 12 πŸ” 4 πŸ’¬ 1 πŸ“Œ 0
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New Preprint and my final PhD paperπŸ₯²! We combined symptom and brain networks to look at symptom-specific associations between internalizing problems and functional connectivity in adolescents. doi.org/10.31234/osf...

21.11.2024 10:26 πŸ‘ 29 πŸ” 7 πŸ’¬ 2 πŸ“Œ 0
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Associations between parental psychopathology and youth functional emotion regulation brain networks Parental mental health is associated with children’s emotion regulation (ER) and risk for psychopathology. The relationship between parental psychopat…

Associations between parent’s mental health and youth’s functional emotion regulation networks: www.sciencedirect.com/science/arti...

17.11.2024 19:27 πŸ‘ 16 πŸ” 6 πŸ’¬ 1 πŸ“Œ 1
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Linking Pre- and Perinatal Risk Factors to a Multivariate Fusion of Child Cortical Structure Pre- and perinatal factors such as maternal pregnancy and child birth complications affect child brain development, emphasizing the importance of early life exposures. While most previous studies have...

Linking Pre- and Perinatal Risk Factors to a Multivariate Fusion of Child Cortical Structure www.biorxiv.org/content/10.1...

31.10.2024 14:39 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0