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Items: 1 to 20 of 84

1.

Neurosensory and Cognitive Modifications in Europe's Toughest RandoRaid Competition: the Transpyrénéa Extreme Study.

Tonacci A, Mrakic-Sposta S, Ujka K, Sansone F, Ferrisi A, Giardini G, Conte R, Pratali L.

Front Physiol. 2017 Apr 4;8:201. doi: 10.3389/fphys.2017.00201. eCollection 2017.

2.

Assessing Relevance of External Cognitive Measures.

Cairó O.

Front Integr Neurosci. 2017 Feb 21;11:3. doi: 10.3389/fnint.2017.00003. eCollection 2017. Review.

3.

Different brain structures associated with artistic and scientific creativity: a voxel-based morphometry study.

Shi B, Cao X, Chen Q, Zhuang K, Qiu J.

Sci Rep. 2017 Feb 21;7:42911. doi: 10.1038/srep42911.

4.

A pilot study exploring the association of morphological changes with 5-HTTLPR polymorphism in OCD patients.

Honda S, Nakao T, Mitsuyasu H, Okada K, Gotoh L, Tomita M, Sanematsu H, Murayama K, Ikari K, Kuwano M, Yoshiura T, Kawasaki H, Kanba S.

Ann Gen Psychiatry. 2017 Jan 17;16:2. doi: 10.1186/s12991-017-0126-6. eCollection 2017.

5.

On normative judgments and ethics.

Arandjelović O.

BMC Med Ethics. 2016 Nov 22;17(1):75.

6.

Gray matter increases in fronto-parietal regions of depression patients with aripiprazole monotherapy: An exploratory study.

Lai CH, Wu YT, Chen CY, Hou YC.

Medicine (Baltimore). 2016 Aug;95(34):e4654. doi: 10.1097/MD.0000000000004654.

7.

Neuroanatomical bases of effortful control: evidence from a large sample of young healthy adults using voxel-based morphometry.

Nouchi R, Takeuchi H, Taki Y, Sekiguchi A, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Yokoyama R, Shinada T, Yamamoto Y, Hanawa S, Araki T, Sassa Y, Kawashima R.

Sci Rep. 2016 Aug 9;6:31231. doi: 10.1038/srep31231.

8.

Proficient brain for optimal performance: the MAP model perspective.

Bertollo M, di Fronso S, Filho E, Conforto S, Schmid M, Bortoli L, Comani S, Robazza C.

PeerJ. 2016 May 25;4:e2082. doi: 10.7717/peerj.2082. eCollection 2016.

9.

The anterior midcingulate cortex as a neural node underlying hostility in young adults.

Nakagawa S, Takeuchi H, Taki Y, Nouchi R, Sekiguchi A, Kotozaki Y, Miyauchi CM, Iizuka K, Yokoyama R, Shinada T, Yamamoto Y, Hanawa S, Araki T, Hashizume H, Kunitoki K, Sassa Y, Kawashima R.

Brain Struct Funct. 2017 Jan;222(1):61-70. doi: 10.1007/s00429-016-1200-6. Epub 2016 Feb 20.

10.

Basal ganglia correlates of fatigue in young adults.

Nakagawa S, Takeuchi H, Taki Y, Nouchi R, Kotozaki Y, Shinada T, Maruyama T, Sekiguchi A, Iizuka K, Yokoyama R, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Magistro D, Sakaki K, Jeong H, Sasaki Y, Kawashima R.

Sci Rep. 2016 Feb 19;6:21386. doi: 10.1038/srep21386.

11.

Underlying sources of cognitive-anatomical variation in multi-modal neuroimaging and cognitive testing.

Watson PD, Paul EJ, Cooke GE, Ward N, Monti JM, Horecka KM, Allen CM, Hillman CH, Cohen NJ, Kramer AF, Barbey AK.

Neuroimage. 2016 Apr 1;129:439-49. doi: 10.1016/j.neuroimage.2016.01.023. Epub 2016 Jan 22.

12.

Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities.

Luciano M, Marioni RE, Valdés Hernández M, Muñoz Maniega S, Hamilton IF, Royle NA; Generation Scotland., Chauhan G, Bis JC, Debette S, DeCarli C, Fornage M, Schmidt R, Ikram MA, Launer LJ, Seshadri S, Bastin ME, Porteous DJ, Wardlaw J, Deary IJ; CHARGE Consortium..

Twin Res Hum Genet. 2015 Dec;18(6):738-45. doi: 10.1017/thg.2015.71. Epub 2015 Oct 2.

13.

The Relationship between Processing Speed and Regional White Matter Volume in Healthy Young People.

Magistro D, Takeuchi H, Nejad KK, Taki Y, Sekiguchi A, Nouchi R, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Yokoyama R, Shinada T, Yamamoto Y, Hanawa S, Araki T, Hashizume H, Sassa Y, Kawashima R.

PLoS One. 2015 Sep 23;10(9):e0136386. doi: 10.1371/journal.pone.0136386. eCollection 2015.

14.

Regional brain volume differences between males with and without autism spectrum disorder are highly age-dependent.

Lin HY, Ni HC, Lai MC, Tseng WY, Gau SS.

Mol Autism. 2015 May 21;6:29. doi: 10.1186/s13229-015-0022-3. eCollection 2015.

15.

Transcranial direct current stimulation (tDCS) of frontal cortex decreases performance on the WAIS-IV intelligence test.

Sellers KK, Mellin JM, Lustenberger CM, Boyle MR, Lee WH, Peterchev AV, Fröhlich F.

Behav Brain Res. 2015 Sep 1;290:32-44. doi: 10.1016/j.bbr.2015.04.031. Epub 2015 Apr 28.

16.

Infant motor development and cognitive performance in early old age: the Helsinki Birth Cohort Study.

Poranen-Clark T, von Bonsdorff MB, Lahti J, Räikkönen K, Osmond C, Rantanen T, Kajantie E, Eriksson JG.

Age (Dordr). 2015 Jun;37(3):9785. doi: 10.1007/s11357-015-9785-x. Epub 2015 May 1.

17.

Regional gray matter density associated with cognitive reflectivity-impulsivity: evidence from voxel-based morphometry.

Yokoyama R, Nozawa T, Takeuchi H, Taki Y, Sekiguchi A, Nouchi R, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Shinada T, Yamamoto Y, Hanawa S, Araki T, Hashizume H, Kunitoki K, Hanihara M, Sassa Y, Kawashima R.

PLoS One. 2015 Mar 24;10(3):e0122666. doi: 10.1371/journal.pone.0122666. eCollection 2015.

18.

Mesial temporal lobe and memory function in autism spectrum disorder: an exploration of volumetric findings.

Trontel HG, Duffield TC, Bigler ED, Abildskov TJ, Froehlich A, Prigge MB, Travers BG, Anderson JS, Zielinski BA, Alexander AL, Lange N, Lainhart JE.

J Clin Exp Neuropsychol. 2015;37(2):178-92. doi: 10.1080/13803395.2014.997677.

19.

Analyzing the association between functional connectivity of the brain and intellectual performance.

Pamplona GS, Santos Neto GS, Rosset SR, Rogers BP, Salmon CE.

Front Hum Neurosci. 2015 Feb 10;9:61. doi: 10.3389/fnhum.2015.00061. eCollection 2015.

20.

Medial frontal white and gray matter contributions to general intelligence.

Ohtani T, Nestor PG, Bouix S, Saito Y, Hosokawa T, Kubicki M.

PLoS One. 2014 Dec 31;9(12):e112691. doi: 10.1371/journal.pone.0112691. eCollection 2014.

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