Long-term neural and physiological phenotyping of a single human.
Russell A PoldrackTimothy O LaumannOluwasanmi KoyejoBrenda GregoryAshleigh HoverMei-Yen ChenKrzysztof J GorgolewskiJeffrey LuciSung Jun JooRyan L BoydScott Hunicke-SmithZack Booth SimpsonThomas CavenVanessa V SochatJames M ShineEvan GordonAbraham Z SnyderBabatunde AdeyemoSteven E PetersenDavid C GlahnD Reese MckayJoanne E CurranHarald H H GöringMelanie A CarlessJohn BlangeroRobert DoughertyAlexander LeemansDaniel A HandwerkerLaurie FrickEdward M MarcotteJeanette A MumfordPublished in: Nature communications (2015)
Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of brain function over this timescale in healthy individuals are unknown. Here, as a proof of concept to address this question, we present the MyConnectome project. An intensive phenome-wide assessment of a single human was performed over a period of 18 months, including functional and structural brain connectivity using magnetic resonance imaging, psychological function and physical health, gene expression and metabolomics. A reproducible analysis workflow is provided, along with open access to the data and an online browser for results. We demonstrate dynamic changes in brain connectivity over the timescales of days to months, and relations between brain connectivity, gene expression and metabolites. This resource can serve as a testbed to study the joint dynamics of human brain and metabolic function over time, an approach that is critical for the development of precision medicine strategies for brain disorders.
Keyphrases
- resting state
- white matter
- functional connectivity
- gene expression
- magnetic resonance imaging
- endothelial cells
- mental health
- dna methylation
- multiple sclerosis
- healthcare
- public health
- physical activity
- magnetic resonance
- electronic health record
- induced pluripotent stem cells
- depressive symptoms
- preterm birth
- gestational age