Harri Merisaari

Dr. Harri Merisaari

University of Turku, Turku, Varsinais-Suomi, Finland
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 April 2015 in Acta Oncologica
Verified
Journal Article
Closed access
IJIvan Jambor
Ivan Jambor
AKAnna Kuisma
Anna Kuisma
SRSusan Ramadan
Susan Ramadan
RHRiikka Huovinen
Riikka Huovinen
MSMinna Sandell
Minna Sandell
MSMarko Seppänen
Marko Seppänen
Detection of bone metastases in breast and prostate cancer patients remains a major clinical challenge. The aim of the current trial was to compare the diagnostic accuracy of (99m)Tc-hydroxymethane diphosphonate ((99m)Tc-HDP) planar bone scintigraphy (BS), (99m)Tc-HDP SPECT, (99m)Tc-HDP SPECT/CT, (18)F-NaF PET/CT and whole body 1.5 Tesla magnetic resonance imaging (MRI), including diffusion weighted imaging, (wbMRI+DWI) for the detection of bone metastases in high risk breast and prostate cancer patients. Twenty-six breast and 27 prostate cancer patients at high risk of bone metastases underwent (99m)Tc-HDP BS, (99m)Tc-HDP SPECT, (99m)Tc-HDP SPECT/CT, (18)F-NaF PET/CT and wbMRI+DWI. Five independent reviewers interpreted each individual modality without the knowledge of other imaging findings. The final metastatic status was based on the consensus reading, clinical and imaging follow-up (minimal and maximal follow-up time was 6, and 32 months, respectively). The bone findings were compared on patient-, region-, and lesion-level. (99m)Tc-HDP BS was false negative in four patients. In the region-based analysis, sensitivity values for (99m)Tc-HDP BS, (99m)Tc-HDP SPECT, (99m)Tc-HDP SPECT/CT, (18)F-NaF PET/CT, and wbMRI+DWI were 62%, 74%, 85%, 93%, and 91%, respectively. The number of equivocal findings for (99m)Tc-HDP BS, (99m)Tc-HDP SPECT, (99m)Tc-HDP SPECT/CT, (18)F-NaF PET/CT and wbMRI+DWI was 50, 44, 5, 6, and 4, respectively. wbMRI+DWI showed similar diagnostic accuracy to (18)F-NaF PET/CT and outperformed (99m)Tc-HDP SPECT/CT, and (99m)Tc-HDP BS.

1 January 2019 in NeuroImage
Verified
Journal Article
Open access
HLHeikki Laurikainen
Heikki Laurikainen
LTLauri Tuominen
Lauri Tuominen
MTMaria Tikka
Maria Tikka
HMHarri Merisaari
Harri Merisaari
RAReetta-Liina Armio
Reetta-Liina Armio
JHJarmo Hietala
Jarmo Hietala
The endocannabinoid system (ECS) has a widespread neuromodulatory function in the central nervous system and is involved in important aspects of brain function including brain development, cortical rhythms, plasticity, reward, and stress sensitivity. Many of these effects are mediated via the cannabinoid CB1 receptor (CB1R) subtype. Animal studies convincingly show an interaction between the ECS and sex hormones, as well as a sex difference of higher brain CB1R in males. Human in vivo studies of sex difference have yielded discrepant findings. Gender differences in CB1R availability were investigated in vivo in 11 male and 11 female healthy volunteers using a specific CB1R tracer [18F]FMPEP-d2 and positron emission tomography (PET). Regional [18F]FMPEP-d2 distribution volume was used as a proxy for CB1R availability. In addition, we explored whether CB1R availability is linked to neuropsychological functioning. Relative to females, CB1R availability was on average 41% higher in males (p = 0.002) with a regionally specific effect larger in the posterior cingulate and retrosplenial cortices (p = 0.001). Inter-subject variability in CB1R availability was similar in both groups. Voxel-based analyses revealed an inverse association between CB1R availability and visuospatial working memory task performance in both groups (p < 0.001). A CB1R sex difference with a large effect size was observed and should be considered in the design of CB1R-related studies on neuropsychiatric disorders. The behavioural correlates and clinical significance of this difference remain to be further elucidated, but our studies suggest an association between CB1R availability and working memory.

13 June 2007 in Synapse
Verified
Journal Article
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LHLauri T. Haltia
Lauri T. Haltia
JRJuha O. Rinne
Juha O. Rinne
HMHarri Merisaari
Harri Merisaari
RMRalph P. Maguire
Ralph P. Maguire
ESEriika Savontaus
Eriika Savontaus
VKValtteri Kaasinen
Valtteri Kaasinen

1 February 2019 in Developmental Cognitive Neuroscience
Verified
Journal Article
Open access
JTJetro J. Tuulari
Jetro J. Tuulari
NSNoora M. Scheinin
Noora M. Scheinin
SLSatu Lehtola
Satu Lehtola
HMHarri Merisaari
Harri Merisaari
JSJani Saunavaara
Jani Saunavaara
MBMalin Björnsdotter
Malin Björnsdotter
Physical expressions of affection play a foundational role in early brain development, but the neural correlates of affective touch processing in infancy remain unclear. We examined brain responses to gentle skin stroking, a type of tactile stimulus associated with affectionate touch, in young infants. Thirteen term-born infants aged 11-36days, recruited through the FinnBrain Birth Cohort Study, were included in the study. Soft brush strokes, which activate brain regions linked to somatosensory as well as socio-affective processing in children and adults, were applied to the skin of the right leg during functional magnetic resonance imaging. We examined infant brain responses in two regions-of-interest (ROIs) known to process gentle skin stroking - the postcentral gyrus and posterior insular cortex - and found significant responses in both ROIs. These results suggest that the neonate brain is responsive to gentle skin stroking within the first weeks of age, and that regions linked to primary somatosensory as well as socio-affective processing are activated. Our findings support the notion that social touch may play an important role in early life sensory processing. Future research will elucidate the significance of these findings for human brain development.

8 July 2019 in PLOS ONE
Verified
Journal Article
Open access
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JTJussi Toivonen
Jussi Toivonen
IPIleana Montoya Perez
Ileana Montoya Perez
PMParisa Movahedi
Parisa Movahedi
HMHarri Merisaari
Harri Merisaari
MPMarko Pesola
Marko Pesola
IJIvan Jambor
Ivan Jambor
To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w), diffusion weighted imaging (DWI) acquired using high b values, and T2-mapping (T2). T2w, DWI (12 b values, 0–2000 s/mm2), and T2 data sets of 62 patients with histologically confirmed PCa were acquired at 3T using surface array coils. The DWI data sets were post-processed using monoexponential and kurtosis models, while T2w was standardized to a common scale. Local statistics and 8 different radiomics/texture descriptors were utilized at different configurations to extract a total of 7105 unique per-tumor features. Regularized logistic regression with implicit feature selection and leave pair out cross validation was used to discriminate tumors with 3+3 vs >3+3 GS. In total, 100 PCa lesions were analysed, of those 20 and 80 had GS of 3+3 and >3+3, respectively. The best model performance was obtained by selecting the top 1% features of T2w, ADCm and K with ROC AUC of 0.88 (95% CI of 0.82–0.95). Features from T2 mapping provided little added value. The most useful texture features were based on the gray-level co-occurrence matrix, Gabor transform, and Zernike moments. Texture feature analysis of DWI, post-processed using monoexponential and kurtosis models, and T2w demonstrated good classification performance for GS of PCa. In multisequence setting, the optimal radiomics based texture extraction methods and parameters differed between different image types.

6 February 2017 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
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IJIvan Jambor
Ivan Jambor
PBPeter J. Boström
Peter J. Boström
PTPekka Taimen
Pekka Taimen
KSKari Syvänen
Kari Syvänen
EKEsa Kähkönen
Esa Kähkönen
HAHannu J. Aronen
Hannu J. Aronen