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Hannes Almgren

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Senior Research Associate

University of New South Wales

Australia

Research Interests

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Professors in Australia

Recent Grants

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Towards an open, robust, and reproducible framework for resting state effective connectivity in health and cognitive decline

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Investigating neural information flows underlying cognitive performance in elderly

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Articles (12)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (11)

Chenyu Wang

Associate Professor

University of Sydney

AUSTRALIA

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Frederik Van de Steen

Vrije Universiteit Brussel

BELGIUM

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ITALY

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Oury Monchi

Professor and Scientific director (CRIUGM)

Université de Montréal

CANADA

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Helen F Mitchell

Professor

University of Sydney

AUSTRALIA

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Richard Camicioli

Associate/Full Professor

University of Alberta

CANADA

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ApplyKite TwinLearns as you apply

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Hannes Almgren

Research Interests

Make your next move.

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Recent Grants

Articles (12)

The associations between playing a musical instrument and grey matter in older adults at risk for dementia: a whole-brain VBM analysis

Rest-activity rhythm fragmentation and synchronization are linked with reduced cortical thickness in older adults “at risk” for dementia

Neurobiological effects of music-making interventions for older adults: a systematic review

Quantifying neurodegeneration within subdivisions of core motor pathways in amyotrophic lateral sclerosis using diffusion MRI

Associations of high-sensitivity C-reactive protein with neuropsychological outcomes and cerebral white matter hyperintensities in older adults at risk of dementia

White Matter Microstructural Underpinnings of Mild Behavioral Impairment in Parkinson's Disease

The impact of music experience on hippocampal subfields and cognitive function in older adults at risk for dementia

Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

Preferential signal pathways during the perception and imagery of familiar scenes: An effective connectivity study

Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features

Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

Motor symptoms in Parkinson's disease are related to the interplay between cortical curvature and thickness

Collaborators (11)

Chenyu Wang

Frederik Van de Steen

Sharon L Naismith

Camilla Hoyos

Colin Mahoney

Jinglei Lv

Andrew McKinnon

Maddalena Boccia

Oury Monchi

Helen F Mitchell

Richard Camicioli

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