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Nature human behaviour · 2019

Identification of neurobehavioural symptom groups based on shared brain mechanisms.

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Ing Alex, Sämann Philipp G, Chu Congying, Tay Nicole, Biondo Francesca, Robert Gabriel, Jia Tianye, Wolfers Thomas, Desrivières Sylvane, Banaschewski Tobias, Bokde Arun L W, Bromberg Uli, Büchel Christian, Conrod Patricia, Fadai Tahmine, Flor Herta, Frouin Vincent, Garavan Hugh, Spechler Philip A, Gowland Penny, Grimmer Yvonne, Heinz Andreas, Ittermann Bernd, Kappel Viola, Martinot Jean-Luc, Meyer-Lindenberg Andreas, Millenet Sabina, Nees Frauke, van Noort Betteke, Orfanos Dimitri Papadopoulos, Martinot Marie-Laure Paillère, Penttilä Jani, Poustka Luise, Quinlan Erin Burke, Smolka Michael N, Stringaris Argyris, Struve Maren, Veer Ilya M, Walter Henrik, Whelan Robert, Andreassen Ole A, Agartz Ingrid, Lemaitre Hervé, Barker Edward D, Ashburner John, Binder Elisabeth, Buitelaar Jan, Marquand Andre, Robbins Trevor W, Schumann Gunter, IMAGEN Consortium

Аннотация

Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case-control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты