Kuldeep Kumar, Ph.D. | Blog

Blog

Notes and perspectives on neuroimaging, genetics, and the tools reshaping how we connect them.

Neuroimaging genetics insights

A non-coding deletion linking the gonadal axis to striatal morphology

A small structural interval upstream of TACR3 looks, at first, like a hormone locus. But read through a neuroimaging lens, it becomes more interesting: DRAGEN-WGS, Garg 2026 AJHG, and Big40-Oxford all point toward a coherent bilateral striatal MRI signal. This post focuses on that hidden neuroendocrine–striatal story and what it reveals about structural variation in brain imaging genetics.

A 20-year-old brain-size gene, a whole-brain CRISPR atlas, and the cell type nobody was looking at

Two decades ago, Chenn & Walsh showed β-catenin sets cortical size; later work established APC as its Wnt-pathway antagonist. GWAS caught the pathway — but never these two genes individually, and never with a cell type. The first genome-scale, whole-brain, in-vivo Perturb-seq atlas quietly supplies the missing piece, in a structure and life-stage the classic work never reached.

Cross-field perspectives

What can brain organoids tell us about CNVs?

Brain organoids offer a controlled window into how genomic dosage alters early human neurodevelopment. Using 16p11.2 and recent cross-mutation organoid studies as examples, this post asks what these models genuinely add to CNV, psychiatric, and neuroimaging genetics—and where their evidence should stop.

Field reflections

When a conference makes the whole field feel connected

Reflections from The Neurobiology of Mental Health meeting at Lake Thun: a rare gathering where developmental neuroscience, psychiatric genetics, brain atlases, white matter, organoids, circuits and therapeutic translation flowed into one connected scientific story.

About these categories. Neuroimaging genetics insights highlights focused connections grounded in my core research area. Cross-field perspectives explores adjacent topics through the lens of CNVs, genetics, and neuroimaging. Field reflections captures more personal observations from meetings and scientific conversations.