Publications

Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort
Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort.
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models
Mohammed Mohammed
Zahra Tehrani Nasab
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi
Mahdi Alehdaghi
Rafael M. O. Cruz
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Nicolas Roux
Bellemare Marc-Emmanuel
Joshua Greaves
Alex Fr'echette
S'andor Toth
Sam Work
Can We Learn Communication-Efficient Optimizers?
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies
Rashid A. Mushkani
Shin Koseki
Sample Compression for Continual Learning
Pascal Germain
Yusuf Cem Sübakan
Carriers of
<i>LRRK2</i>
pathogenic variants show a milder, anatomically distinct brain signature of Parkinson’s disease
Andrew Vo
Qin Tao
Tanya Simuni
Lana M. Chahine
Alain Dagher
LRRK2 gene variants are a major genetic risk factor for both familial and sporadic Parkinson’s disease (PD), opening an … (see more)unattended window on the disease’s mechanisms and potential therapies. Investigating the influence of pathogenic variants in LRRK2 gene on brain structure is a crucial step toward enabling early diagnosis and personalized treatment. Yet, despite its significance, the ways in which LRRK2 genotype affects brain structure remain largely unexplored. Work in this domain is plagued by small sample sizes and differences in cohort composition, which can obscure genuine distinctions among clinical subgroups. In this study, we overcome such important limitations by combining explicit modeling of population background variation and pattern matching. Specifically, we leveraged a large cohort of 641 participants (including 364 with a PD diagnosis) to examine MRI-detectable cortical atrophy patterns associated with the LRRK2 pathogenic variants in people with PD and non-manifesting individuals. LRRK2 PD patients exhibited milder cortical thinning compared to sporadic PD, with notable preservation in temporal and occipital regions, suggesting a distinct pattern of neurodegeneration. Non-manifesting LRRK2 carriers showed no significant cortical atrophy, indicating no structural signs of subclinical PD. We further analyzed the relationship between aggregated alpha-synuclein in cerebrospinal fluid and atrophy. We found that those with evidence of aggregated alpha-synuclein experienced pronounced neurodegeneration and increased cortical thinning, possibly defining another aggressive PD subtype. Our findings highlight avenues for distinguishing PD subtypes, which could lead to more targeted treatment approaches and a more complete understanding of Parkinson’s disease progression.
Relative biological effectiveness of 31 meV thermal neutrons in peripheral blood lymphocytes
Laura C Paterson
Fawaz Ali
Mohsen Naseri
David Perez Loureiro
Amy Festarini
Marilyne Stuart
Chad Boyer
Ronald Rogge
Christie Costello
Norma Ybarra
J. Kildea
Richard B Richardson
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad
Nedjma OUSIDHOUM
Idris Abdulmumin
Seid Muhie Yimam
Jan Philip Wahle
Terry Lima Ruas
Meriem Beloucif
Christine de Kock
Tadesse Belay
Ibrahim Ahmad
Nirmal Surange
Daniela Teodorescu
Alham Fikri Aji
Felermino Ali
Vladimir Araujo
Abinew Ayele
Oana Ignat
Alexander Panchenko
Yi Zhou … (see 1 more)
Saif M. Mohammad
Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning
Saeid Jamshidi
Amin Nikanjam
Kawser Wazed Nafi