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Markku Timonen

Researcher at University of Oulu

Publications -  143
Citations -  4228

Markku Timonen is an academic researcher from University of Oulu. The author has contributed to research in topics: Population & Cohort study. The author has an hindex of 34, co-authored 137 publications receiving 3618 citations. Previous affiliations of Markku Timonen include Oulu University Hospital.

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Fish consumption and depression: the Northern Finland 1966 birth cohort study.

TL;DR: A low frequency of fish consumption was statistically significantly associated with depression in women, but not in men, and possible background-theories behind the gender difference are discussed.
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Co-occurrence of Metabolic Syndrome With Depression and Anxiety in Young Adults: The Northern Finland 1966 Birth Cohort Study

TL;DR: The correlations between the components of the metabolic syndrome and psychological distress as continuous measures were low and no clear association was found between the metabolic Syndrome and Psychological distress.
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The Association Between C-Reactive Protein Levels and Depression: Results from the Northern Finland 1966 Birth Cohort Study

TL;DR: The hypothesis that an activation of systemic inflammatory processes may contribute to the pathophysiology of severe depression in men is supported, as well as the findings on diagnostic/treatment strategies concerning severe and, especially recurrent, depression inMen.
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The association of preceding traumatic brain injury with mental disorders, alcoholism and criminality: the Northern Finland 1966 Birth Cohort Study.

TL;DR: The results support the TBI's association with psychiatric morbidity, which should not be overlooked when treating psychiatric patients, especially those with comorbid criminality.
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Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity

TL;DR: The results show that fine-grained RSNs enable better detection of detailed disease-related functional connectivity changes, and suggest that multilevel ICA exploration of functional connectivity enables optimization of sensitivity to brain disorders.