Kep Kee Loh

215 Followers
48 Following
50 Posts
Postdoc at the Petrides Lab @TheNeuro_MNI & @NeuroecologyLab | Primate Brain Evolution | Neuroanatomy | MRI | Frontal Cortex | 🦧🦍🙊🕺🧠🇸🇬🇬🇧🇫🇷🇨🇦
Here are 22 persuasive communication devices that you should watch out for when writing a research article. https://elifesciences.org/articles/88654?utm_source=mastodon&utm_medium=social&utm_campaign=organic_features
Point of View: Beware ‘persuasive communication devices’ when writing and reading scientific articles

Authors should be open about the limitations of their work and not overstate its importance.

eLife

Great piece of anatomy recently published in Sci Adv:

https://www.science.org/doi/10.1126/sciadv.adf9445

...from the abstract: "We combine sulcal pattern analysis with resting-state functional magnetic resonance imaging and cytoarchitectonic analysis to show that old-world monkey brains have the same principles of organization as hominid brains, with the notable exception of sulci in the frontopolar cortex."

#neuroscience #anatomy #evolution #frontalcortex

*The image depicts the phylogenetic emergence of the paraintermediate frontal sulcus and the vertical ramus of the intermediate frontal sulcus*

Beautiful tribute to a pioneer.

Retrospective: Patricia S. Goldman-Rakic, pioneer in neuroscience and co-founder of the journal, Cerebral Cortex
https://doi.org/10.1093/cercor/bhad159

Retrospective: Patricia S. Goldman-Rakic, pioneer in neuroscience and co-founder of the journal, Cerebral Cortex

Abstract. Patricia Goldman-Rakic (1937–2003), the co-founder of this journal, was a pioneering neuroscientist who made transformational discoveries about the pr

OUP Academic
RT @JRBneuropsiq
An ecological approach to evolutionary and comparative neuroanatomy 👇🏼 https://twitter.com/cir_lab/status/1649013262342553603
CIR Lab on Twitter

“77 mio years of cerebral cortex evolution reconstructed. New @cir_lab paper by E Schwartz, KH Nenning, @katjaQheuer, @NathanJeffery17 @OrnellaBertrand @R3RT0, G Kasprian, D Prayer, and @georg: https://t.co/Ez5EkN22mF in @NatureComms @MedUni_Wien @brainhackorg”

Twitter
RT @JJoutsa
Our new paper now in press ⁦@Brain1878 ! Together with ⁦@foxmdphd⁩ ⁦@DrNirLipsman⁩ ⁦@andreashorn_⁩ #ReesCosgrove we discuss why brain lesions may be making a comeback for localization and therapy https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awad123/7114971
return of the lesion for localization and therapy

Historically, lesions were fundamental to localizing and treating neurological symptoms; however, their use decreased with the adoption of techniques such as fu

OUP Academic
Finally job adverts for ERC project start May https://sites.google.com/view/ecc-team/positions/postdoc . ~2 PostDocs with Neuroimaging, modelling or neurostimulation exp. Positions for ~3 to 4 years, BUT possibility for productive Postdoc to apply for Inserm/CNRS permanent, tenured, research-only PI positions. This is a particularly attractive feature of french system. CRCN at Inserm ( https://eva3-accueil.inserm.fr/sites/eva/english-site/Pages/default.aspx ) or CNRS ( https://cnrs.fr/en/competitive-entrance-examinations-researchers-womenmen )
ECC Team - Postdoc

There are multiple ways to join the lab as a postdoc. See below for some concrete opportunities or just contact us directly to find out more!

A short tutorial on getting started with segmentation using ITKSNAP: https://youtu.be/YV2ssizz9gQ

Particularly, I am segmenting the LGN (lateral geniculate nucleus) of a living human brain using our publicly available 0.35 mm isotropic 7 T dataset.

Tutorial - Intro to segmentation in ITKSNAP

YouTube
RT @DavidLBrody1
Great to see the paper from @shansiddiqi et al, about precision targeting of transcranial magnetic stimulation for #tbi published online. Nice work everyone! https://www.nature.com/articles/s41598-022-21905-x
Individualized precision targeting of dorsal attention and default mode networks with rTMS in traumatic brain injury-associated depression - Scientific Reports

At the group level, antidepressant efficacy of rTMS targets is inversely related to their normative connectivity with subgenual anterior cingulate cortex (sgACC). Individualized connectivity may yield better targets, particularly in patients with neuropsychiatric disorders who may have aberrant connectivity. However, sgACC connectivity shows poor test–retest reliability at the individual level. Individualized resting-state network mapping (RSNM) can reliably map inter-individual variability in brain network organization. Thus, we sought to identify individualized RSNM-based rTMS targets that reliably target the sgACC connectivity profile. We used RSNM to identify network-based rTMS targets in 10 healthy controls and 13 individuals with traumatic brain injury-associated depression (TBI-D). These “RSNM targets” were compared with consensus structural targets and targets based on individualized anti-correlation with a group-mean-derived sgACC region (“sgACC-derived targets”). The TBI-D cohort was also randomized to receive active (n = 9) or sham (n = 4) rTMS to RSNM targets with 20 daily sessions of sequential high-frequency left-sided stimulation and low-frequency right-sided stimulation. We found that the group-mean sgACC connectivity profile was reliably estimated by individualized correlation with default mode network (DMN) and anti-correlation with dorsal attention network (DAN). Individualized RSNM targets were thus identified based on DAN anti-correlation and DMN correlation. These RSNM targets showed greater test–retest reliability than sgACC-derived targets. Counterintuitively, anti-correlation with the group-mean sgACC connectivity profile was also stronger and more reliable for RSNM-derived targets than for sgACC-derived targets. Improvement in depression after RSNM-targeted rTMS was predicted by target anti-correlation with the portions of sgACC. Active treatment also led to increased connectivity within and between the stimulation sites, the sgACC, and the DMN. Overall, these results suggest that RSNM may enable reliable individualized rTMS targeting, although further research is needed to determine whether this personalized approach can improve clinical outcomes.

Nature

bioRxiv

Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource
https://www.biorxiv.org/content/10.1101/2023.03.10.532036v1

RT @NeuroPolarbear
Fantastic talk by @MillerLabMIT on Learning Salon. Highly recommended. (And the talk is not really 2+ hours, even though it looks like it will be)

https://www.youtube.com/watch?v=fycWsa9xph8

A few thoughts below:

Earl Miller The Learning Salon 2 24 23

YouTube