Purpose: The measurements’ reference points associated with foramen magnum (FM) and cranium were examined in this retrospective study. Also, the relation between FM and cranium harmony were calculated both on dry skull and in healthy subjects performed on computed tomography (CT). Materials and Methods: The present study was carried out on 185 healthy adult subjects (90 females; 95 males) aged between 18–67 years and 15 dried skull of unknown gender of an Anatolian population. The shapes of the FM were classified as two semicircle, oval, round, egg, tetragonal, pentagonal, hexagonal and irregular shapes. The anteroposterior length and transverse width of the FM and cranium were measured on both photos and CT. Results: The means and standard deviations of the measurements were given for three groups. To control the accuracy of FM width (FMW) and length (FML) results, a formula was used for three groups including dried skull and CT measurements of females and males, seperately (FMW=Cranial width (CW)/4.26 for group 1, CW/4.66 for group 2 and CW/4.66 for group 3; and FML=Cranial length (CL)/4.51 for group 1, CL/4.33 for group 2 and CL/4.16 for group 3). The oval type FM was predominant (26.67%) in dried skull and (23.33%) in females and (28.42%) in males. Conclusion: The present study presents noteworthy data about FM and cranium harmony of the adult Turkish population and dry skulls that will show a harmony between cranium and foramen magnum in clinical practice. There was no tetragonal and hexagonal FM types in dried skulls and tetragonal type FM was the least seen type in females and males.

Purpose: This paper aimed to determine the morphometry of the frontal lobe and central brain region using magnetic resonance imaging in patients having dementia and healthy subjects. Materials and Methods: 243 subjects (121 subjects having dementia; 122 subjects healthy group) aged 60-90 years over for 2 years between January 2018 and 2020 were included in this study. Also, the supervised Machine learning based (ML based) detection of dementia has been studied on this obtained real world data. Results: The gender-related changes of frontal region measurements in dementia and healthy subjects were analyzed and, there were differences of measurements’ mean values in gender. In healthy subjects, significance differences were found in all measurements (except the distance from anterior commissure to posterior commissure and outermost of corpus callosum genu to innermost of corpus callosum genu). The means of the measurements were found higher in males than in females. Conclusions: We believe that the knowledge of our study will provide valuable reference data for our population and will help for a surgeon in planning an operation by considering measurements related to the frontal lobe. In addition, ML based supervised methods that were trained on the collected data for detection of dementia showed that it is required to provide as many attributes and instances as possible to train an accurate estimator. However, if this is not possible, by creating new features based on the hidden patterns between attributes and instances we could increase the success of the estimators up to 96.3% f-score value.