Results 201 to 210 of about 271,169 (372)

Machine learning prediction of conduct problems in children using the longitudinal ABCD study

Journal of Child Psychology and Psychiatry, EarlyView.
Background Children with conduct problems are at elevated risk for negative psychosocial, educational, and behavioral outcomes. Identifying at‐risk children can aid in providing timely intervention and prevention, ultimately improving their long‐term outcomes.
Kathryn Berluti, Paige Amormino, Alexandra Potter, Safwan Wshah, Abigail Marsh   +4 more
wiley   +1 more source

Association of thalamic hyperactivity with treatment-resistant depression and poor response in early treatment for major depression: a resting-state fMRI study using fractional amplitude of low-frequency fluctuations [PDF]

, 2016
Takanao Yamamura, Yasumasa Okamoto, Go Okada, Yoshiyuki Takaishi, Masahiro Takamura, Akio Mantani, Akiko Kurata, Yoko Otagaki, Hidehisa Yamashita, Shigeto Yamawaki   +9 more
openalex   +1 more source

Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report

, 2022
Jacqueline K. Harris, Stefanie Hassel, Andrew D. Davis, Mojdeh Zamyadi, Stephen R. Arnott, Roumen Milev, Raymond W. Lam, Benício N. Frey, Geoffrey B. Hall, Daniel J. Müller, Susan Rotzinger, Sidney H. Kennedy, Stephen C. Strother, Glenda MacQueen, Russell Greiner   +14 more
openalex   +1 more source

Smartphone language and resting‐state EEG indicators of self‐focused attention prospectively predict major depressive disorder risk in adolescents

Journal of Child Psychology and Psychiatry, EarlyView.
Background Central to major depressive disorder (MDD) onset and maintenance is maladaptive self‐focused attention, which can be reliably indexed by greater: (a) usage of first‐person singular pronouns (e.g., I) in natural language and (b) alpha oscillations in resting‐state EEG.
Lilian Y. Li, Nayoung Kim, Esha Trivedi, Sarah E. Sarkas, Madeline M. McGregor, Aishwarya Sritharan, Katherine Durham, Ivan Alekseichuk, Allison M. Letkiewicz, Vijay A. Mittal, David Pagliaccio, Nicholas B. Allen, Randy P. Auerbach, Stewart A. Shankman   +13 more
wiley   +1 more source

Correction: Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery

BioMedical Engineering OnLine
Andrew Jeyabose, Belfin Robinson, Olivia Leggio, Meitra H. Kazemi, Varina L. Boerwinkle   +4 more
doaj   +1 more source

Exploring Theory of Mind abilities in patients with probable idiopathic normal pressure hydrocephalus

Journal of Neuropsychology, EarlyView.
Abstract This study investigated Theory of Mind (ToM) deficits in patients with suspected idiopathic normal pressure hydrocephalus (iNPH), a condition affecting motor, cognitive and autonomic functions. Given the overlap between ToM‐related neural networks and those affected in iNPH, we examined whether ToM impairments are a feature of the disease ...
Akrivi Vatsi, George Stranjalis, Stylianos Gkatzonis, Christos Koutsarnakis, Eleftherios Neromyliotis, Aristotelis Kalyvas, Ion N. Beratis, Evangelos Drosos, Spyridon Komaitis, Evangelia Liouta   +9 more
wiley   +1 more source

Benchmarking functional connectome-based predictive models for resting-state fMRI

NeuroImage, 2019
Kamalaker Dadi, M. Rahim, Alexandre Abraham, Darya Chyzhyk, M. Milham, B. Thirion, G. Varoquaux   +6 more
semanticscholar   +1 more source

Narcissism Is Associated With Blunted Error‐Related Brain Activity

Journal of Personality, EarlyView.
ABSTRACT Objective Narcissism is associated with self‐enhancement and social antagonism, yet its neural underpinnings, particularly in error processing, remain underexplored. Competing theoretical models, such as the mask model and the metacognitive model, offer conflicting hypotheses regarding how narcissism influences early neural responses to errors.
Esther M. Robins, Zhiwei Zhou, Chengli Huang, Douglas J. Angus, Constantine Sedikides, Nicholas J. Kelley   +5 more
wiley   +1 more source

Cerebral and Peripheral Hemodynamics Across Wakefulness and NREM Sleep

Journal of Sleep Research, EarlyView.
ABSTRACT Wake/sleep‐related changes in cerebral hemodynamic oscillations are well established, but similar changes in peripheral hemodynamics remain largely understudied. Moreover, how the relationship between cerebral and peripheral hemodynamics varies across sleep–wake states is not well understood, despite evidence that these oscillations in the low‐
Vidhya V. Nair, Brianna R. Kish, Hideyuki Oshima, Qiuting Wen, Yunjie Tong, A. J. Schwichtenberg   +5 more
wiley   +1 more source

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

NeuroImage, 2016
R. Hindriks, Mohit H. Adhikari, Y. Murayama, Marco Ganzetti, D. Mantini, N. Logothetis, G. Deco   +6 more
semanticscholar   +1 more source