Spin-L共催　生理学研究所 感覚認知情報研究部門 部門公開セミナー（第23回）を開催します

この度、生理学研究所 感覚認知情報研究部門による部門公開セミナーを、 Spin-Lとの共催で開催することになりましたのでご案内させていただきます。
今回のセミナーは、マギル大学の先生方によるセミナーをオンサイト形式で開催します。
Toussaint先生には脳データ解析におけるPETデータとMRIデータの統合に関する研究をご紹介いただき、Poline先生にはMRIデータを用いた研究におけるデータサイエンスの実例について多面的な観点からご紹介いただきます。
皆様のご参加をお待ちしております。

The Division of Sensory and Cognitive Information at the National Institute for Physiological Sciences (NIPS), in collaboration with Spin-L, is pleased to invite you to our upcoming department seminar.
Dr. Toussaint will introduce research on the integration of PET and MRI data in brain data analysis, and Dr. Poline will present practical examples of data science in MRI-based research from multifaceted perspectives.
We highly encourage everyone to attend and look forward to your participation.

演者/Speaker: Paule-Joanne Toussaint (Research Associate, McGill University, Canada)

演題/Title: Brain atlases in PET imaging: Anatomical and functional frameworks for neuroimaging research and clinical practice 

抄録/Abstract: Positron emission tomography (PET) measures physiological and chemical processes in the brain, but its limited spatial resolution and reader-dependent interpretation complicate quantification. Brain atlases supply the anatomical and functional scaffolding needed for cross-subject normalisation, region-of-interest definition, and image segmentation. Here we survey atlases widely used in PET, from classical anatomical references (Brodmann, MNI, AAL) to functional and metabolic atlases (FDG normative cohorts, receptor maps, connectivity parcellations), and review the registration pipeline and partial volume effects, which can underestimate tracer uptake by up to 30% in small structures. Segmentation approaches are compared and linked to clinical applications in neurology (neurodegenerative diseases, epilepsy, tumours) and psychiatry. We highlight a shift toward deep learning-based segmentation approaches and the continued necessity of partial volume correction, underscoring challenges such as atlas mismatch in pathological brains and the lack of standardized benchmarks.

演者/Speaker: Jean-Baptiste Poline (Professor, McGill University, Canada)

演題/Title: Changing landscape for neuroimaging data sharing and data processings: towards distributed solutions in the era of data sovereignty

抄録/Abstract: In this presentation, I will review some of the challenges that neuroscience and neuroimaging are facing, and in particular the challenges of reproducible and generalizable studies in the context of data distributed and under variable legal and ethical constraints. The field of neuroscience is facing new questions on the impact of variable processings and the difficulty to generalize results. These challenges have both technical and sociological roots, and the solutions will therefore likely also be both technological and sociological. I will take some examples of neuroinformatics projects developed in my laboratory or in collaboration to transform how we share and analyze data with an example of the development of imaging biomarkers for Parkinson Disease. I will show preliminary results showing that distributed infrastructures can be leveraged for federated learning of Parkinson Disease progression. I will open the discussion on some key aspects to consider, for instance how these infrastructures can be maintained, how their governance structure can be thought of, and how this offers opportunities to build community of practices.