Ricardo Bruña1,2,3, Fernando Maestú1,2,3, David López-Sanz1,4, Anto Bagic5,6, Ann D Cohen7, Yue-Fang Chang7, Yu Cheng6,8, Jack Doman7, Ted Huppert9, Tae Kim10, Rebecca E Roush5, Beth E Snitz5, James T Becker5,11,12. 1. Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain. 2. Department of Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Madrid, Spain. 3. Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain. 4. Department of Psychobiology, Universidad Complutense de Madrid, Madrid, Spain. 5. Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 6. Department of Statistics, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 7. Department of Neurosurgery, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 8. Department of Biostatistics, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 9. Department of Electrical Engineering, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 10. Department of Radiology, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 11. Department of Neurology, and The University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 12. Department of Psychology, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Abstract
Introduction: The human brain shows modest traits of sexual dimorphism, with the female brain, on average, 10% smaller than the male brain. These differences do not imply a lowered cognitive performance, but suggest a more optimal brain organization in women. Here we evaluate the patterns of functional connectivity (FC) in women and men from the Connectomics of Brain Aging and Dementia sample. Methods: We used phase locking values to calculate FC from the magnetoencephalography time series in a sample of 138 old adults (87 females and 51 males). We compared the FC patterns between sexes, with the intention of detecting regions with different levels of connectivity. Results: We found a frontal cluster, involving anterior cingulate and the medial frontal lobe, where women showed higher FC values than men. Involved connections included the following: (1) medial parietal areas, such as posterior cingulate cortices and precunei; (2) right insula; and (3) medium cingulate and paracingulate cortices. Moreover, these differences persisted when considering only cognitively intact individuals, but not when considering only cognitively impaired individuals. Discussion: Increased anteroposterior FC has been identified as a biomarker for increased risk of developing cognitive impairment or dementia. In our study, cognitively intact women showed higher levels of FC than their male counterparts. This result suggests that neurodegenerative processes could be taking place in these women, but the changes are undetected by current diagnosis tools. FC, as measured here, might be valuable for early identification of this neurodegeneration.
Introduction: The human brain shows modest traits of sexual dimorphism, with the female brain, on average, 10% smaller than the male brain. These differences do not imply a lowered cognitive performance, but suggest a more optimal brain organization in women. Here we evaluate the patterns of functional connectivity (FC) in women and men from the Connectomics of Brain Aging and Dementia sample. Methods: We used phase locking values to calculate FC from the magnetoencephalography time series in a sample of 138 old adults (87 females and 51 males). We compared the FC patterns between sexes, with the intention of detecting regions with different levels of connectivity. Results: We found a frontal cluster, involving anterior cingulate and the medial frontal lobe, where women showed higher FC values than men. Involved connections included the following: (1) medial parietal areas, such as posterior cingulate cortices and precunei; (2) right insula; and (3) medium cingulate and paracingulate cortices. Moreover, these differences persisted when considering only cognitively intact individuals, but not when considering only cognitively impaired individuals. Discussion: Increased anteroposterior FC has been identified as a biomarker for increased risk of developing cognitive impairment or dementia. In our study, cognitively intact women showed higher levels of FC than their male counterparts. This result suggests that neurodegenerative processes could be taking place in these women, but the changes are undetected by current diagnosis tools. FC, as measured here, might be valuable for early identification of this neurodegeneration.
Entities:
Keywords:
functional connectivity; magnetoencephalography; sex as a biological variable
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