BACKGROUND AND PURPOSE: Prefrontal cortex, known to be a crucial region for the function of attention, is generally thought to be largely associated with the pathogenesis of attention-deficit hyperactivity disorder (ADHD). Most previous structural imaging studies of ADHD reported abnormality of grey matter volume in prefrontal region. However, volume measure is affected by the size of the interrogated brain, which may cause the inconsistence of the volume based findings. The purpose of the current paper is to use a scale-free measure, fractal information dimension (FID), to assess the prefrontal cortical convolution complexity and asymmetry in ADHD patients. METHODS: MRI scans from 12 boys with ADHD and 11 controls were carefully processed. Prefrontal cortex was outlined manually. FIDs of bilateral prefrontal cortical surface were examined in each case. Group differences of the bilateral prefrontal cortical convolution complexities and the asymmetry pattern were statistically tested. RESULTS: We found a left-greater-than-right prefrontal cortical convolution complexity pattern in both groups. However, compared with healthy controls, the left prefrontal cortical convolution complexities of ADHD patients were significantly reduced, resulting in significant reduction of the normal left-greater-than-right cortical convolution complexity asymmetry pattern. CONCLUSION: This study confirms and extends the existing anatomical knowledge about the brains of people with ADHD. The cortical convolution analysis method may also be applied to quantitatively assess changes in other neuropsychiatric syndromes as well.
BACKGROUND AND PURPOSE: Prefrontal cortex, known to be a crucial region for the function of attention, is generally thought to be largely associated with the pathogenesis of attention-deficit hyperactivity disorder (ADHD). Most previous structural imaging studies of ADHD reported abnormality of grey matter volume in prefrontal region. However, volume measure is affected by the size of the interrogated brain, which may cause the inconsistence of the volume based findings. The purpose of the current paper is to use a scale-free measure, fractal information dimension (FID), to assess the prefrontal cortical convolution complexity and asymmetry in ADHDpatients. METHODS: MRI scans from 12 boys with ADHD and 11 controls were carefully processed. Prefrontal cortex was outlined manually. FIDs of bilateral prefrontal cortical surface were examined in each case. Group differences of the bilateral prefrontal cortical convolution complexities and the asymmetry pattern were statistically tested. RESULTS: We found a left-greater-than-right prefrontal cortical convolution complexity pattern in both groups. However, compared with healthy controls, the left prefrontal cortical convolution complexities of ADHDpatients were significantly reduced, resulting in significant reduction of the normal left-greater-than-right cortical convolution complexity asymmetry pattern. CONCLUSION: This study confirms and extends the existing anatomical knowledge about the brains of people with ADHD. The cortical convolution analysis method may also be applied to quantitatively assess changes in other neuropsychiatric syndromes as well.
Authors: Patrick de Zeeuw; Hugo G Schnack; Janna van Belle; Juliette Weusten; Sarai van Dijk; Marieke Langen; Rachel M Brouwer; Herman van Engeland; Sarah Durston Journal: PLoS One Date: 2012-04-20 Impact factor: 3.240
Authors: Merel C Postema; Martine Hoogman; Sara Ambrosino; Philip Asherson; Tobias Banaschewski; Cibele E Bandeira; Alexandr Baranov; Claiton H D Bau; Sarah Baumeister; Ramona Baur-Streubel; Mark A Bellgrove; Joseph Biederman; Janita Bralten; Daniel Brandeis; Silvia Brem; Jan K Buitelaar; Geraldo F Busatto; Francisco X Castellanos; Mara Cercignani; Tiffany M Chaim-Avancini; Kaylita C Chantiluke; Anastasia Christakou; David Coghill; Annette Conzelmann; Ana I Cubillo; Renata B Cupertino; Patrick de Zeeuw; Alysa E Doyle; Sarah Durston; Eric A Earl; Jeffery N Epstein; Thomas Ethofer; Damien A Fair; Andreas J Fallgatter; Stephen V Faraone; Thomas Frodl; Matt C Gabel; Tinatin Gogberashvili; Eugenio H Grevet; Jan Haavik; Neil A Harrison; Catharina A Hartman; Dirk J Heslenfeld; Pieter J Hoekstra; Sarah Hohmann; Marie F Høvik; Terry L Jernigan; Bernd Kardatzki; Georgii Karkashadze; Clare Kelly; Gregor Kohls; Kerstin Konrad; Jonna Kuntsi; Luisa Lazaro; Sara Lera-Miguel; Klaus-Peter Lesch; Mario R Louza; Astri J Lundervold; Charles B Malpas; Paulo Mattos; Hazel McCarthy; Leyla Namazova-Baranova; Rosa Nicolau; Joel T Nigg; Stephanie E Novotny; Eileen Oberwelland Weiss; Ruth L O'Gorman Tuura; Jaap Oosterlaan; Bob Oranje; Yannis Paloyelis; Paul Pauli; Felipe A Picon; Kerstin J Plessen; J Antoni Ramos-Quiroga; Andreas Reif; Liesbeth Reneman; Pedro G P Rosa; Katya Rubia; Anouk Schrantee; Lizanne J S Schweren; Jochen Seitz; Philip Shaw; Tim J Silk; Norbert Skokauskas; Juan C Soliva Vila; Michael C Stevens; Gustavo Sudre; Leanne Tamm; Fernanda Tovar-Moll; Theo G M van Erp; Alasdair Vance; Oscar Vilarroya; Yolanda Vives-Gilabert; Georg G von Polier; Susanne Walitza; Yuliya N Yoncheva; Marcus V Zanetti; Georg C Ziegler; David C Glahn; Neda Jahanshad; Sarah E Medland; Paul M Thompson; Simon E Fisher; Barbara Franke; Clyde Francks Journal: J Child Psychol Psychiatry Date: 2021-03-22 Impact factor: 8.265
Authors: T Sigi Hale; Joshua F Wiley; Susan L Smalley; Kelly L Tung; Olivia Kaminsky; James J McGough; Ashwin M Jaini; Sandra K Loo Journal: Front Psychiatry Date: 2015-05-07 Impact factor: 4.157
Authors: T Sigi Hale; Andrea M Kane; Olivia Kaminsky; Kelly L Tung; Joshua F Wiley; James J McGough; Sandra K Loo; Jonas T Kaplan Journal: Front Psychiatry Date: 2014-07-15 Impact factor: 4.157