Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Neuropsychology of learning disabilities: The past and the future
JM Fletcher, EL Grigorenko - Journal of the International …, 2017 - cambridge.org
Over the past 50 years, research on children and adults with learning disabilities has seen
significant advances. Neuropsychological research historically focused on the …
significant advances. Neuropsychological research historically focused on the …
[图书][B] Learning disabilities: From identification to intervention
" Reviewing the state of the science of learning disabilities (LD) and describing effective
educational practices, this authoritative text has been significantly revised and expanded …
educational practices, this authoritative text has been significantly revised and expanded …
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
Brain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decoding
Objective The ultimate goal of reading is to understand written text. To accomplish this,
children must first master decoding, the ability to translate printed words into sounds …
children must first master decoding, the ability to translate printed words into sounds …
The importance of the left occipitotemporal cortex in developmental dyslexia
L Kronbichler, M Kronbichler - Current developmental disorders reports, 2018 - Springer
Abstract Purpose of Review Developmental dyslexia is characterized by an impaired
acquisition of fluent and skilled reading ability. Numerous studies have explored the neural …
acquisition of fluent and skilled reading ability. Numerous studies have explored the neural …
Distinct neural correlates of poor decoding and poor comprehension in children with reading disability
Reading disability (RD) can manifest itself as a word decoding problem or a reading
comprehension problem. In the current study, we identified 3 subtypes of RD: poor decoders …
comprehension problem. In the current study, we identified 3 subtypes of RD: poor decoders …
The effects of the RAP strategy used in a peer-tutoring setting to foster reading comprehension in high-risk fourth graders.
Children who do not adequately master the transition from" learning to read"(LTR) to"
reading to learn"(RTL) will clearly fall behind in every subject area during their secondary …
reading to learn"(RTL) will clearly fall behind in every subject area during their secondary …
The meta-linguistic and domain-specific executive function profile of children with decoding or comprehension difficulties
This study aimed to investigate the meta-linguistic and executive function profile for different
subtypes of reading difficulties (RD) among upper-elementary students. Based on 1,112 …
subtypes of reading difficulties (RD) among upper-elementary students. Based on 1,112 …
Common brain structure findings across children with varied reading disability profiles
MA Eckert, KI Vaden Jr, AB Maxwell, SL Cute… - Scientific reports, 2017 - nature.com
Dyslexia is a developmental disorder in reading that exhibits varied patterns of expression
across children. Here we examined the degree to which different kinds of reading disabilities …
across children. Here we examined the degree to which different kinds of reading disabilities …