找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Brain Network Dysfunction in Neuropsychiatric Illness; Methods, Application Vaibhav A. Diwadkar,Simon B. Eickhoff Book 2021 Springer Nature

[復(fù)制鏈接]
樓主: 代表
41#
發(fā)表于 2025-3-28 16:45:26 | 只看該作者
42#
發(fā)表于 2025-3-28 20:14:42 | 只看該作者
works interactions in specific neuropsychiatric disorders.Ex.Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their b
43#
發(fā)表于 2025-3-29 00:16:51 | 只看該作者
44#
發(fā)表于 2025-3-29 05:23:20 | 只看該作者
Functional Resting-State Network Disturbances in Bipolar Disordernetworks. Local and large-scale connectivity changes in these networks as well as modulation of cortico-striato-thalamic, reward-related, and sensorimotor circuits might depend on patients’ symptomatology. Further studies should clarify specific associations between clinical dimensions and functional network properties.
45#
發(fā)表于 2025-3-29 10:29:33 | 只看該作者
46#
發(fā)表于 2025-3-29 12:33:20 | 只看該作者
Some Important Background Material,disturbances are associated with patient’s symptoms. Future studies may develop new understanding of how these functional brain disturbances translate into clinical practice, and help inform disease diagnosis.
47#
發(fā)表于 2025-3-29 17:43:52 | 只看該作者
Networks-Mediated Spreading of Pathology in Neurodegenerative Diseases and metabolic dysregulation, structural atrophy). Finally, we show that, by characterizing each patient’s multifactorial brain changes in response to potential therapeutic inputs, robust predictions of treatment response can be obtained, potentially accelerating the finding of effective disease-modifying agents at the individual level.
48#
發(fā)表于 2025-3-29 20:07:27 | 只看該作者
49#
發(fā)表于 2025-3-30 03:24:38 | 只看該作者
Network Modulation in Neuropsychiatric Disorders Using the Virtual Brainpy and intervention can be tested. With a focus on major depressive disorder (MDD), we highlight the rationale for using this computational approach in psychiatric disorders to characterize disease mechanisms and map these characterizations to treatment predictions.
50#
發(fā)表于 2025-3-30 04:34:44 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 03:05
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
武清区| 海兴县| 普兰县| 通州区| 那曲县| 湖南省| 黄龙县| 靖江市| 灵台县| 临沂市| 茶陵县| 正镶白旗| 湖北省| 蓝田县| 新晃| 谢通门县| 缙云县| 吉林省| 鹤庆县| 奉化市| 北票市| 永善县| 南平市| 喀喇| 博兴县| 和林格尔县| 来安县| 个旧市| 湘西| 青铜峡市| 双峰县| 横山县| 南开区| 静乐县| 朝阳市| 沂源县| 崇左市| 普安县| 佛坪县| 丹棱县| 康定县|