Sidhant Chopra

Neuroscientist and psychologist interested in better treatments, brains & psychosis. Research Fellow @UniMelb @orygen_aus

[Sidhant Chopra @SidChop]

🧠 New work showing prominent and widespread 𝘪𝘯 𝘷𝘪𝘷𝘰 pre-synaptic terminal reductions in people with schizophrenia.🧠

https://t.co/wXTU9qI3E3

Strongest effects in left hemisphere, but synaptic loss didn't track with MRI grey matter alterations, but did align with..👇1/4

[Alex Fornito @AFornito]

Our latest out now in @BiologicalPsyc1 led by @SidChop disentangling effects of illness from antipsychotics on longitudinal cortical thickness changes in early psychosis

[Sidhant Chopra @SidChop]

@Foreman1David @orygen_aus https://t.co/aq42JC5FoQ

[Patrick McGorry @PatMcGorry]

This is a very important study which very hard to successfully conduct but has the ideal methodology to examine this question. The results will be challenging for ideologically driven pundits.

[Sidhant Chopra @SidChop]

with help from a large team across Orygen, Melbourne, Monash, Yale and Rutgers uni @DrAlexHolmes @AshleaSegal @XihanZhang1 @FranceyShona @CropleyVanessa @adthompson4 @kelly_allott @MarioAlvarezJi1 @ChristosPantel2 @StephenWood8

[Sidhant Chopra @SidChop]

🧠 Excited to share the results of our placebo-controlled RCT in psychosis: cortical thinning in the first year of illness is very likely not because of antipsychotic medication, but due to the illness itself. Made possible by @AFornito, @PatMcGorry ++ https://t.co/tLvATiK6Iy

[Orygen @orygen_aus]

RESEARCH | Led by Dr @SidChop, this world-first study has answered a controversial and long debated question about the brain changes seen in psychosis.

Details: https://t.co/7hQstPcIwj

[Adeel Razi @adeelrazi]

Want to know what our @Nature paper found, and what it actually means? This excellent thread from @dpsyc42 breaks down the complexity of the analyses and walks through the key findings beautifully.

[Sidhant Chopra @SidChop]

Delighted to play a small role in is amazing study from @adeelrazi and a brilliant team. Psychedelics align brain activity with the environmental context. 👇🏾👇🏾 Check out the thread for links to the open data 👇🏾👇🏾

[Adeel Razi @adeelrazi]

Our new paper in @Nature is now out.

Psychedelics don’t simply disorder the brain. Using fMRI, EEG and AI in 62 psychedelic-naive adults, we found hidden, context-sensitive organisation beneath the apparent chaos -- strongest in people reporting more positive, profound experiences and a reduced sense of separation from the world.

The paper: https://t.co/y692T5tGxn

Huge congratulations to @dpsyc42 who led from the front, @novelli_leo and @MKhajehnejad were exceptional in performing highly sophisticated and complex data analyses and thanks the whole @ConnectPsi team and collaborators.

Our explainer: https://t.co/pfqzATGOTY

Data descriptor: https://t.co/YA1asNgbz9

ML model (TAVRNN): https://t.co/BA1mcUAmKR

Fully open-access dataset: https://t.co/npvtxpDFFd

Code for processing and cleaning data: https://t.co/lwulJJGosj

@matthewdgreaves Tmarin Barta, @ManaBiabani, @SidChop, @anilkseth, @RCarhartHarris, @FredBarrettPhD, @KatrinPreller, @gary_egan

@turnerinstitute @MonashPsych, @Monash_FMNHS, @MonashUni @CIFAR_News

[Alex Fornito @AFornito]

Not sure how to visualise your connectome data?

Want to easily share interactive visualisations?

Check our latest paper in @netneurosci led by @m_gajwani & C Adamson introducing NeuroMarvl - an open source web-based platform for visualising and sharing connectome data!

Paper:
https://t.co/6aenU53yUk

Software (use Chrome):
https://t.co/jDz8lVDhrP

@NSB_Lab

[Orygen @orygen_aus]

RESEARCH | More targeted and effective treatments for psychosis could be one step closer, with a new study led by Orygen researcher Dr @SidChop revealing large and widespread synaptic loss in people diagnosed with schizophrenia.

Details: https://t.co/KDyrYfXDvG

[Trang Cao @TrangCao2016]

This work is out at @NatureNeuro. Thanks to the amazing team @AFornito @NSB_Lab @jchrispang @m_gajwani @AshleaSegal @DrAlexHolmes J Wiley @SidChop @HelenJuanZhou CChen FJi BHarrison @cgdavey @constable_toby @JegTiego BHartshorn JKwee @BellgroveMark

[Alex Fornito @AFornito]

Our latest out now in @NatureNeuro led by @TrangCao2016 looking at the reproducibility of MRI morphometry phenotypes in psychiatric disorders.

We quantify the reproducibility of grey matter volume and cortical thickness differences in Schizophrenia, Depression, Bipolar Disorder, Autism, and Alzheimer's Disease.

AD findings are reproducible; results for the other disorders are not.

Bootstrapping suggests increased sample sizes can help for schizophrenia, but very large (i.e, N>1k) samples may be needed for other disorders.

Our findings are consistent with a low SNR disease phenotype.

Peep the thread and link for more details!

[Zhiqiang Sha (@zhiqiangsha.bsky.social) @sha_zhiqiang]

Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease
https://t.co/qh4rodJi4v

[Alex Fornito @AFornito]

Lovely new work from @SidChop and team

[Sidhant Chopra @SidChop]

@DrGipps @RajivR79 @YalePET @BHI_Rutgers @YalePsychology @orygen_aus patients were on meds, controls not, and AP exposure was covaried. Animal data: no effect on synaptic density https://t.co/Pxy0NbkFpg. Our human work: no drop in 🧠 volume https://t.co/DSnj9nMMdI or thickness https://t.co/aq42JC5FoQ. Lots still to learn re long term AP effects

[Sidhant Chopra @SidChop]

🧠 New work showing prominent and widespread 𝘪𝘯 𝘷𝘪𝘷𝘰 pre-synaptic terminal reductions in people with schizophrenia.🧠

https://t.co/wXTU9qI3E3

Strongest effects in left hemisphere, but synaptic loss didn't track with MRI grey matter alterations, but did align with..👇1/4

[Sidhant Chopra @SidChop]

@JRBneuropsiq The effect size of sig. voxels in the group difference (scz<hc) analysis ranged from Cohen’s D=0.58  to  1.47

[Sidhant Chopra @SidChop]

Thanks to all coauthors, especially Rajiv Radhakrishnan (@RajivR79) and Avram Holmes, and the incredible team at the @YalePET Center who made this imaging possible. Great collab with people from @BHI_Rutgers @YalePsychology @orygen_aus and more!

[Sidhant Chopra @SidChop]

To ask where in the brain this loss might begin, we applied a network diffusion model over the structural connectome, and found left inferior frontal / anterior insula as a potential source, with deficits spreading along white-matter connections to molecularly similar regions 3/4

[allen institute @AllenInstitute]

Traveling waves in the brain don't just move — they spiral, and it's brain-wide. New research from @UW, with @AllenInstitute contributions, out today in @ScienceMagazine, shows the brain's own wiring shapes the pattern.

🌀 Spin through the full study: https://t.co/Zc6wHNujxJ